diff --git a/.env.template b/.env.template index 75a57de4d..e9dc2a4c2 100644 --- a/.env.template +++ b/.env.template @@ -1,12 +1,28 @@ ENV="local" TOKENIZERS_PARALLELISM="false" -LLM_API_KEY= + +# LLM Configuration +LLM_API_KEY="" +LLM_MODEL="openai/gpt-4o-mini" +LLM_PROVIDER="openai" +LLM_ENDPOINT="" +LLM_API_VERSION="" +LLM_MAX_TOKENS="16384" GRAPHISTRY_USERNAME= GRAPHISTRY_PASSWORD= SENTRY_REPORTING_URL= +# Embedding Configuration +EMBEDDING_PROVIDER="openai" +EMBEDDING_API_KEY="" +EMBEDDING_MODEL="openai/text-embedding-3-large" +EMBEDDING_ENDPOINT="" +EMBEDDING_API_VERSION="" +EMBEDDING_DIMENSIONS=3072 +EMBEDDING_MAX_TOKENS=8191 + # "neo4j" or "networkx" GRAPH_DATABASE_PROVIDER="networkx" # Not needed if using networkx diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 000000000..1a90cc65a --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,7 @@ + + +## Description + + +## DCO Affirmation +I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin diff --git a/.github/workflows/approve_dco.yaml b/.github/workflows/approve_dco.yaml new file mode 100644 index 000000000..467e5cc0d --- /dev/null +++ b/.github/workflows/approve_dco.yaml @@ -0,0 +1,53 @@ +name: DCO Check + +on: + pull_request: + types: [opened, edited, reopened, synchronize, ready_for_review] + +jobs: + check-dco: + runs-on: ubuntu-latest + steps: + - name: Validate Developer Certificate of Origin statement + uses: actions/github-script@v6 + with: + # If using the built-in GITHUB_TOKEN, ensure it has 'read:org' permission. + # In GitHub Enterprise or private orgs, you might need a PAT (personal access token) with read:org scope. + github-token: ${{ secrets.GITHUB_TOKEN }} + script: | + const orgName = 'YOUR_ORGANIZATION_NAME'; // Replace with your org + const prUser = context.payload.pull_request.user.login; + const prBody = context.payload.pull_request.body || ''; + + // Exact text you require in the PR body + const requiredStatement = "I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin"; + + // 1. Check if user is in the org + let isOrgMember = false; + try { + // Attempt to get membership info + const membership = await github.rest.orgs.getMembershipForUser({ + org: orgName, + username: prUser, + }); + // If we get here without an error, user is in the org + isOrgMember = true; + console.log(`${prUser} is a member of ${orgName}. Skipping DCO check.`); + } catch (error) { + // If we get a 404, user is NOT an org member + if (error.status === 404) { + console.log(`${prUser} is NOT a member of ${orgName}. Enforcing DCO check.`); + } else { + // Some other error—fail the workflow or handle accordingly + core.setFailed(`Error checking organization membership: ${error.message}`); + } + } + + // 2. If user is not in the org, enforce the DCO statement + if (!isOrgMember) { + if (!prBody.includes(requiredStatement)) { + core.setFailed( + `DCO check failed. The PR body must include the following statement:\n\n${requiredStatement}` + ); + } + } diff --git a/.github/workflows/cd.yaml b/.github/workflows/cd.yaml index ec4b56300..310ad3deb 100644 --- a/.github/workflows/cd.yaml +++ b/.github/workflows/cd.yaml @@ -4,7 +4,6 @@ on: push: branches: - dev - - feature/* paths-ignore: - '**.md' - 'examples/**' diff --git a/.github/workflows/clean_stale_pr.yaml b/.github/workflows/clean_stale_pr.yaml new file mode 100644 index 000000000..80cbde664 --- /dev/null +++ b/.github/workflows/clean_stale_pr.yaml @@ -0,0 +1,24 @@ +name: clean | remove stale PRs + +on: + # Run this action periodically (daily at 0:00 UTC in this example). + schedule: + - cron: "0 0 * * *" + # Optionally, also run when pull requests are labeled, unlabeled, synchronized, or reopened + # to update the stale timer as needed. Uncomment if desired. + # pull_request: + # types: [labeled, unlabeled, synchronize, reopened] + +jobs: + stale: + runs-on: ubuntu-latest + steps: + - name: Mark and Close Stale + uses: actions/stale@v6 + with: + # Number of days of inactivity before the pull request is marked stale + days-before-stale: 60 + # Number of days of inactivity after being marked stale before the pull request is closed + days-before-close: 7 + # Comment to post when marking as stale + stale-pr-message: "This pull request has been automatically marke diff --git a/.github/workflows/dockerhub.yml b/.github/workflows/dockerhub.yml index b48dde2cc..1f5a6ca59 100644 --- a/.github/workflows/dockerhub.yml +++ b/.github/workflows/dockerhub.yml @@ -1,8 +1,9 @@ -name: build | Build and Push Docker Image to DockerHub +name: build | Build and Push Docker Image to dockerhub on: push: branches: + - dev - main jobs: @@ -10,42 +11,38 @@ jobs: runs-on: ubuntu-latest steps: - - name: Checkout repository - uses: actions/checkout@v4 + - name: Checkout repository + uses: actions/checkout@v4 - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 - - name: Log in to Docker Hub - uses: docker/login-action@v3 - with: - username: ${{ secrets.DOCKER_USERNAME }} - password: ${{ secrets.DOCKER_PASSWORD }} + - name: Log in to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKER_USERNAME }} + password: ${{ secrets.DOCKER_PASSWORD }} - - name: Extract Git information - id: git-info - run: | - echo "BRANCH_NAME=${GITHUB_REF_NAME}" >> "$GITHUB_ENV" - echo "COMMIT_SHA=${GITHUB_SHA::7}" >> "$GITHUB_ENV" + - name: Extract metadata + id: meta + uses: docker/metadata-action@v5 + with: + images: cognee/cognee + tags: | + type=ref,event=branch + type=sha,prefix={{branch}}- + type=raw,value=latest,enable={{is_default_branch}} - - name: Build and Push Docker Image - run: | - IMAGE_NAME=cognee/cognee - TAG_VERSION="${BRANCH_NAME}-${COMMIT_SHA}" + - name: Build and push + uses: docker/build-push-action@v5 + with: + context: . + platforms: linux/amd64,linux/arm64 + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} + cache-from: type=registry,ref=cognee/cognee:buildcache + cache-to: type=registry,ref=cognee/cognee:buildcache,mode=max - echo "Building image: ${IMAGE_NAME}:${TAG_VERSION}" - docker buildx build \ - --platform linux/amd64,linux/arm64 \ - --push \ - --tag "${IMAGE_NAME}:${TAG_VERSION}" \ - --tag "${IMAGE_NAME}:latest" \ - . - - - name: Verify pushed Docker images - run: | - # Verify both platform variants - for PLATFORM in "linux/amd64" "linux/arm64"; do - echo "Verifying image for $PLATFORM..." - docker buildx imagetools inspect "${IMAGE_NAME}:${TAG_VERSION}" --format "{{.Manifest.$PLATFORM.Digest}}" - done - echo "Successfully verified images in Docker Hub" + - name: Image digest + run: echo ${{ steps.build.outputs.digest }} \ No newline at end of file diff --git a/.github/workflows/profiling.yaml b/.github/workflows/profiling.yaml index 2408a8f70..de4bb179d 100644 --- a/.github/workflows/profiling.yaml +++ b/.github/workflows/profiling.yaml @@ -68,32 +68,32 @@ jobs: echo "HEAD_SHA=${{ github.event.pull_request.head.sha }}" >> $GITHUB_ENV # Run profiler on the base branch - - name: Run profiler on base branch - env: - BASE_SHA: ${{ env.BASE_SHA }} - run: | - echo "Profiling the base branch for code_graph_pipeline.py" - echo "Checking out base SHA: $BASE_SHA" - git checkout $BASE_SHA - echo "This is the working directory: $PWD" - # Ensure the script is executable - chmod +x cognee/api/v1/cognify/code_graph_pipeline.py - # Run Scalene - poetry run pyinstrument --renderer json -o base_results.json cognee/api/v1/cognify/code_graph_pipeline.py - - # Run profiler on head branch -# - name: Run profiler on head branch +# - name: Run profiler on base branch # env: -# HEAD_SHA: ${{ env.HEAD_SHA }} +# BASE_SHA: ${{ env.BASE_SHA }} # run: | -# echo "Profiling the head branch for code_graph_pipeline.py" -# echo "Checking out head SHA: $HEAD_SHA" -# git checkout $HEAD_SHA +# echo "Profiling the base branch for code_graph_pipeline.py" +# echo "Checking out base SHA: $BASE_SHA" +# git checkout $BASE_SHA # echo "This is the working directory: $PWD" # # Ensure the script is executable # chmod +x cognee/api/v1/cognify/code_graph_pipeline.py # # Run Scalene -# poetry run pyinstrument --renderer json -o head_results.json cognee/api/v1/cognify/code_graph_pipeline.py +# poetry run pyinstrument --renderer json -o base_results.json cognee/api/v1/cognify/code_graph_pipeline.py + + # Run profiler on head branch + - name: Run profiler on head branch + env: + HEAD_SHA: ${{ env.HEAD_SHA }} + run: | + echo "Profiling the head branch for code_graph_pipeline.py" + echo "Checking out head SHA: $HEAD_SHA" + git checkout $HEAD_SHA + echo "This is the working directory: $PWD" + # Ensure the script is executable + chmod +x cognee/api/v1/cognify/code_graph_pipeline.py + # Run Scalene + poetry run pyinstrument --renderer json -o head_results.json cognee/api/v1/cognify/code_graph_pipeline.py # # Compare profiling results # - name: Compare profiling results diff --git a/.github/workflows/reusable_notebook.yml b/.github/workflows/reusable_notebook.yml index 9bc09c3a6..13c6eb43e 100644 --- a/.github/workflows/reusable_notebook.yml +++ b/.github/workflows/reusable_notebook.yml @@ -12,8 +12,24 @@ on: required: true GRAPHISTRY_PASSWORD: required: true + #LLM_MODEL: + # required: true + #LLM_ENDPOINT: + # required: true + LLM_API_KEY: + required: true OPENAI_API_KEY: required: true + #LLM_API_VERSION: + # required: true + EMBEDDING_MODEL: + required: true + EMBEDDING_ENDPOINT: + required: true + EMBEDDING_API_KEY: + required: true + EMBEDDING_API_VERSION: + required: true env: RUNTIME__LOG_LEVEL: ERROR @@ -50,8 +66,15 @@ jobs: - name: Execute Jupyter Notebook env: ENV: 'dev' + #LLM_MODEL: ${{ secrets.LLM_MODEL }} + #LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} # Use OpenAI Until a multimedia model is deployed and DeepEval support for other models is added + #LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} run: | diff --git a/.github/workflows/reusable_python_example.yml b/.github/workflows/reusable_python_example.yml index 4aa4aaba6..0897e639d 100644 --- a/.github/workflows/reusable_python_example.yml +++ b/.github/workflows/reusable_python_example.yml @@ -7,12 +7,32 @@ on: description: "Location of example script to run" required: true type: string + arguments: + description: "Arguments for example script" + required: false + type: string secrets: GRAPHISTRY_USERNAME: required: true GRAPHISTRY_PASSWORD: required: true + LLM_MODEL: + required: true + LLM_ENDPOINT: + required: true + LLM_API_KEY: + required: true OPENAI_API_KEY: + required: false + LLM_API_VERSION: + required: true + EMBEDDING_MODEL: + required: true + EMBEDDING_ENDPOINT: + required: true + EMBEDDING_API_KEY: + required: true + EMBEDDING_API_VERSION: required: true env: @@ -50,7 +70,15 @@ jobs: env: ENV: 'dev' PYTHONFAULTHANDLER: 1 - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} - run: poetry run python ${{ inputs.example-location }} + run: poetry run python ${{ inputs.example-location }} ${{ inputs.arguments }} diff --git a/.github/workflows/test_code_graph_example.yml b/.github/workflows/test_code_graph_example.yml new file mode 100644 index 000000000..1200b5b11 --- /dev/null +++ b/.github/workflows/test_code_graph_example.yml @@ -0,0 +1,29 @@ +name: test | code graph example + +on: + workflow_dispatch: + pull_request: + types: [labeled, synchronize] + + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + +jobs: + run_simple_example_test: + uses: ./.github/workflows/reusable_python_example.yml + with: + example-location: ./examples/python/code_graph_example.py + arguments: "--repo_path ./evals" + secrets: + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} + GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} + GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_cognee_llama_index_notebook.yml b/.github/workflows/test_cognee_llama_index_notebook.yml index 2eadd125b..2e90cca6b 100644 --- a/.github/workflows/test_cognee_llama_index_notebook.yml +++ b/.github/workflows/test_cognee_llama_index_notebook.yml @@ -15,6 +15,14 @@ jobs: with: notebook-location: notebooks/cognee_llama_index.ipynb secrets: + #LLM_MODEL: ${{ secrets.LLM_MODEL }} + #LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + #LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_cognee_multimedia_notebook.yml b/.github/workflows/test_cognee_multimedia_notebook.yml index 1d6f1f468..dc0edf0e5 100644 --- a/.github/workflows/test_cognee_multimedia_notebook.yml +++ b/.github/workflows/test_cognee_multimedia_notebook.yml @@ -15,6 +15,14 @@ jobs: with: notebook-location: notebooks/cognee_multimedia_demo.ipynb secrets: + #LLM_MODEL: ${{ secrets.LLM_MODEL }} + #LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + #LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_deduplication.yml b/.github/workflows/test_deduplication.yml index 2f97e4ea6..01afd7b37 100644 --- a/.github/workflows/test_deduplication.yml +++ b/.github/workflows/test_deduplication.yml @@ -57,5 +57,12 @@ jobs: - name: Run deduplication test env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} run: poetry run python ./cognee/tests/test_deduplication.py diff --git a/.github/workflows/test_dynamic_steps_example.yml b/.github/workflows/test_dynamic_steps_example.yml index ed0688bef..0e22fa7ec 100644 --- a/.github/workflows/test_dynamic_steps_example.yml +++ b/.github/workflows/test_dynamic_steps_example.yml @@ -16,6 +16,13 @@ jobs: with: example-location: ./examples/python/dynamic_steps_example.py secrets: - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_dynamic_steps_example_windows.yml b/.github/workflows/test_dynamic_steps_example_windows.yml new file mode 100644 index 000000000..881c39f24 --- /dev/null +++ b/.github/workflows/test_dynamic_steps_example_windows.yml @@ -0,0 +1,49 @@ +name: test + +on: + workflow_dispatch: + pull_request: + types: [labeled, synchronize] + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + +jobs: + run_notebook_test_windows: + name: windows-latest + runs-on: windows-latest + defaults: + run: + shell: bash + steps: + - name: Check out + uses: actions/checkout@master + + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: '3.11.x' + + - name: Install Poetry + run: | + python -m pip install --upgrade pip + pip install poetry + + - name: Install dependencies + run: | + poetry install --no-interaction --all-extras + + - name: Execute Python Example + env: + ENV: 'dev' + PYTHONFAULTHANDLER: 1 + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} + run: poetry run python ./examples/python/dynamic_steps_example.py diff --git a/.github/workflows/test_llama_index_cognee_integration_notebook.yml b/.github/workflows/test_llama_index_cognee_integration_notebook.yml index aacc31eb5..5974009d6 100644 --- a/.github/workflows/test_llama_index_cognee_integration_notebook.yml +++ b/.github/workflows/test_llama_index_cognee_integration_notebook.yml @@ -15,6 +15,14 @@ jobs: with: notebook-location: notebooks/llama_index_cognee_integration.ipynb secrets: + #LLM_MODEL: ${{ secrets.LLM_MODEL }} + #LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + #LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_milvus.yml b/.github/workflows/test_milvus.yml index 51e5f0982..dec74a475 100644 --- a/.github/workflows/test_milvus.yml +++ b/.github/workflows/test_milvus.yml @@ -47,7 +47,14 @@ jobs: - name: Run default basic pipeline env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} run: poetry run python ./cognee/tests/test_milvus.py - name: Clean up disk space diff --git a/.github/workflows/test_multimedia_example.yaml b/.github/workflows/test_multimedia_example.yaml index 95c93c01b..c307002a8 100644 --- a/.github/workflows/test_multimedia_example.yaml +++ b/.github/workflows/test_multimedia_example.yaml @@ -16,6 +16,13 @@ jobs: with: example-location: ./examples/python/multimedia_example.py secrets: - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + #LLM_MODEL: ${{ secrets.LLM_MODEL }} + #LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} # Use OpenAI until we deploy models to handle multimedia + #LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_multimetric_qa_eval_run.yaml b/.github/workflows/test_multimetric_qa_eval_run.yaml new file mode 100644 index 000000000..44a33a48f --- /dev/null +++ b/.github/workflows/test_multimetric_qa_eval_run.yaml @@ -0,0 +1,30 @@ +name: test | multimetric qa eval run + +on: + workflow_dispatch: + pull_request: + types: [labeled, synchronize] + + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + +jobs: + run_multimetric_qa_eval_test: + uses: ./.github/workflows/reusable_python_example.yml + with: + example-location: ./evals/multimetric_qa_eval_run.py + arguments: "--params_file evals/qa_eval_parameters.json --out_dir dirname" + secrets: + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} # Until we add support for azure for DeepEval + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} + GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} + GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_neo4j.yml b/.github/workflows/test_neo4j.yml index e1d71dcfd..7e8423628 100644 --- a/.github/workflows/test_neo4j.yml +++ b/.github/workflows/test_neo4j.yml @@ -43,7 +43,14 @@ jobs: - name: Run default Neo4j env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPH_DATABASE_URL: ${{ secrets.NEO4J_API_URL }} GRAPH_DATABASE_PASSWORD: ${{ secrets.NEO4J_API_KEY }} GRAPH_DATABASE_USERNAME: "neo4j" diff --git a/.github/workflows/test_notebook.yml b/.github/workflows/test_notebook.yml index e03779c70..d8ff5a8ba 100644 --- a/.github/workflows/test_notebook.yml +++ b/.github/workflows/test_notebook.yml @@ -16,6 +16,14 @@ jobs: with: notebook-location: notebooks/cognee_demo.ipynb secrets: + #LLM_MODEL: ${{ secrets.LLM_MODEL }} + #LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + #LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_pgvector.yml b/.github/workflows/test_pgvector.yml index d5356d603..0f9b5d369 100644 --- a/.github/workflows/test_pgvector.yml +++ b/.github/workflows/test_pgvector.yml @@ -58,5 +58,12 @@ jobs: - name: Run default PGVector env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} run: poetry run python ./cognee/tests/test_pgvector.py diff --git a/.github/workflows/test_python_3_10.yml b/.github/workflows/test_python_3_10.yml index 2cf620a17..6a9367451 100644 --- a/.github/workflows/test_python_3_10.yml +++ b/.github/workflows/test_python_3_10.yml @@ -42,6 +42,10 @@ jobs: - name: Install dependencies run: poetry install --no-interaction -E docs + - name: Download NLTK tokenizer data + run: | + poetry run python -m nltk.downloader punkt_tab averaged_perceptron_tagger_eng + - name: Run unit tests run: poetry run pytest cognee/tests/unit/ @@ -52,7 +56,14 @@ jobs: - name: Run default basic pipeline env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} run: poetry run python ./cognee/tests/test_library.py - name: Clean up disk space diff --git a/.github/workflows/test_python_3_11.yml b/.github/workflows/test_python_3_11.yml index b119dbcb2..96b275773 100644 --- a/.github/workflows/test_python_3_11.yml +++ b/.github/workflows/test_python_3_11.yml @@ -44,6 +44,11 @@ jobs: - name: Install dependencies run: poetry install --no-interaction -E docs + - name: Download NLTK tokenizer data + run: | + poetry run python -m nltk.downloader punkt_tab averaged_perceptron_tagger_eng + + - name: Run unit tests run: poetry run pytest cognee/tests/unit/ @@ -53,7 +58,14 @@ jobs: - name: Run default basic pipeline env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} run: poetry run python ./cognee/tests/test_library.py - name: Clean up disk space diff --git a/.github/workflows/test_python_3_12.yml b/.github/workflows/test_python_3_12.yml index 5a032144a..9b0e7d6b5 100644 --- a/.github/workflows/test_python_3_12.yml +++ b/.github/workflows/test_python_3_12.yml @@ -43,6 +43,9 @@ jobs: - name: Install dependencies run: poetry install --no-interaction -E docs + - name: Download NLTK tokenizer data + run: | + poetry run python -m nltk.downloader punkt_tab averaged_perceptron_tagger_eng - name: Run unit tests run: poetry run pytest cognee/tests/unit/ @@ -53,7 +56,14 @@ jobs: - name: Run default basic pipeline env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} run: poetry run python ./cognee/tests/test_library.py - name: Clean up disk space diff --git a/.github/workflows/test_qdrant.yml b/.github/workflows/test_qdrant.yml index e2cf9abe8..5ee35058f 100644 --- a/.github/workflows/test_qdrant.yml +++ b/.github/workflows/test_qdrant.yml @@ -44,7 +44,14 @@ jobs: - name: Run default Qdrant env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} VECTOR_DB_URL: ${{ secrets.QDRANT_API_URL }} VECTOR_DB_KEY: ${{ secrets.QDRANT_API_KEY }} run: poetry run python ./cognee/tests/test_qdrant.py diff --git a/.github/workflows/test_simple_example.yml b/.github/workflows/test_simple_example.yml index 5378df891..21912414b 100644 --- a/.github/workflows/test_simple_example.yml +++ b/.github/workflows/test_simple_example.yml @@ -16,6 +16,13 @@ jobs: with: example-location: ./examples/python/simple_example.py secrets: - OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }} GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }} diff --git a/.github/workflows/test_weaviate.yml b/.github/workflows/test_weaviate.yml index 81cc2603f..244c5f47a 100644 --- a/.github/workflows/test_weaviate.yml +++ b/.github/workflows/test_weaviate.yml @@ -44,7 +44,14 @@ jobs: - name: Run default Weaviate env: ENV: 'dev' - LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} + LLM_MODEL: ${{ secrets.LLM_MODEL }} + LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }} + LLM_API_KEY: ${{ secrets.LLM_API_KEY }} + LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }} + EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }} + EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }} + EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }} + EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }} VECTOR_DB_URL: ${{ secrets.WEAVIATE_API_URL }} VECTOR_DB_KEY: ${{ secrets.WEAVIATE_API_KEY }} run: poetry run python ./cognee/tests/test_weaviate.py diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index eeafac6d1..ba9c3df25 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -79,6 +79,9 @@ $ git config alias.cos "commit -s" Will allow you to write git cos which will automatically sign-off your commit. By signing a commit you are agreeing to the DCO and agree that you will be banned from the topoteretes GitHub organisation and Discord server if you violate the DCO. +"When a commit is ready to be merged please use the following template to agree to our developer certificate of origin: + 'I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin' + We consider the following as violations to the DCO: Signing the DCO with a fake name or pseudonym, if you are registered on GitHub or another platform with a fake name then you will not be able to contribute to topoteretes before updating your name; diff --git a/Dockerfile_modal b/Dockerfile_modal new file mode 100644 index 000000000..f8ca663a8 --- /dev/null +++ b/Dockerfile_modal @@ -0,0 +1,32 @@ +FROM python:3.11-slim + +# Set environment variables +ENV PIP_NO_CACHE_DIR=true +ENV PATH="${PATH}:/root/.poetry/bin" +ENV PYTHONPATH=/app +ENV RUN_MODE=modal +ENV SKIP_MIGRATIONS=true + +# System dependencies +RUN apt-get update && apt-get install -y \ + gcc \ + libpq-dev \ + git \ + curl \ + build-essential \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + + +ENV PYTHONPATH=/app +WORKDIR /app +COPY pyproject.toml poetry.lock /app/ + + +RUN pip install poetry + +RUN poetry install --all-extras --no-root --without dev + +COPY cognee/ /app/cognee +COPY README.md /app/README.md diff --git a/README.md b/README.md index 8ff2d71d5..abf854b24 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,11 @@ We build for developers who need a reliable, production-ready data layer for AI ## What is cognee? -Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost. +Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost. + +Cognee merges graph and vector databases to uncover hidden relationships and new patterns in your data. You can automatically model, load and retrieve entities and objects representing your business domain and analyze their relationships, uncovering insights that neither vector stores nor graph stores alone can provide. Learn more about use-cases [here](https://docs.cognee.ai/use_cases) + + Try it in a Google Colab notebook or have a look at our documentation If you have questions, join our Discord community @@ -85,7 +89,7 @@ import os os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY" ``` -or +or ``` import cognee cognee.config.set_llm_api_key("YOUR_OPENAI_API_KEY") @@ -115,7 +119,7 @@ DB_PORT=5432 DB_NAME=cognee_db DB_USERNAME=cognee DB_PASSWORD=cognee -``` +``` ### Simple example @@ -140,14 +144,14 @@ async def main(): Natural language processing (NLP) is an interdisciplinary subfield of computer science and information retrieval. """ - + print("Adding text to cognee:") - print(text.strip()) + print(text.strip()) # Add the text, and make it available for cognify await cognee.add(text) print("Text added successfully.\n") - + print("Running cognify to create knowledge graph...\n") print("Cognify process steps:") print("1. Classifying the document: Determining the type and category of the input text.") @@ -156,19 +160,19 @@ async def main(): print("4. Adding data points: Storing the extracted chunks for processing.") print("5. Generating knowledge graph: Extracting entities and relationships to form a knowledge graph.") print("6. Summarizing text: Creating concise summaries of the content for quick insights.\n") - + # Use LLMs and cognee to create knowledge graph await cognee.cognify() print("Cognify process complete.\n") - + query_text = 'Tell me about NLP' print(f"Searching cognee for insights with query: '{query_text}'") # Query cognee for insights on the added text search_results = await cognee.search( SearchType.INSIGHTS, query_text=query_text ) - + print("Search results:") # Display results for result_text in search_results: @@ -212,15 +216,16 @@ Cognee supports a variety of tools and services for different operations: - **Language Models (LLMs)**: You can use either Anyscale or Ollama as your LLM provider. - **Graph Stores**: In addition to NetworkX, Neo4j is also supported for graph storage. - + - **User management**: Create individual user graphs and manage permissions ## Demo -Check out our demo notebook [here](https://github.com/topoteretes/cognee/blob/main/notebooks/cognee_demo.ipynb) +Check out our demo notebook [here](https://github.com/topoteretes/cognee/blob/main/notebooks/cognee_demo.ipynb) or watch the Youtube video bellow -[](https://www.youtube.com/watch?v=BDFt4xVPmro "Learn about cognee: 55") +[](https://www.youtube.com/watch?v=fI4hDzguN5k "Learn about cognee: 55") + ## Get Started @@ -241,6 +246,28 @@ Please see the cognee [Development Guide](https://docs.cognee.ai/quickstart/) fo ```bash pip install cognee ``` +### Deployment at Scale (Modal) + +Scale cognee in 4(+1) simple steps to handle enterprise workloads using [Modal](https://modal.com)'s GPU-powered infrastructure + +**1. Install the modal python client** +```bash +pip install modal +``` +**2. Create a free account on [Modal](https://modal.com)** + +**3. Set Up Modal API Key** +```bash +modal token set --token-id TOKEN_ID --token-secret TOKEN_SECRET --profile=PROFILE +modal profile activate PROFILE +``` +**4. Run cognee example** + +This simple example will deploy separate cognee instances building their own memory stores and answering a list of questions at scale. +```bash +modal run -d modal_deployment.py +``` +**5. Change the modal_deploy script and develop your own AI memory at scale 🚀** ## 💫 Contributors @@ -258,13 +285,13 @@ pip install cognee -| Name | Type | Current state | Known Issues | -|----------|--------------------|-------------------|--------------| -| Qdrant | Vector | Stable ✅ | | -| Weaviate | Vector | Stable ✅ | | -| LanceDB | Vector | Stable ✅ | | -| Neo4j | Graph | Stable ✅ | | -| NetworkX | Graph | Stable ✅ | | -| FalkorDB | Vector/Graph | Unstable ❌ | | -| PGVector | Vector | Stable ✅ | | -| Milvus | Vector | Stable ✅ | | +| Name | Type | Current state (Mac/Linux) | Known Issues | Current state (Windows) | Known Issues | +|----------|--------------------|---------------------------|--------------|-------------------------|--------------| +| Qdrant | Vector | Stable ✅ | | Unstable ❌ | | +| Weaviate | Vector | Stable ✅ | | Unstable ❌ | | +| LanceDB | Vector | Stable ✅ | | Stable ✅ | | +| Neo4j | Graph | Stable ✅ | | Stable ✅ | | +| NetworkX | Graph | Stable ✅ | | Stable ✅ | | +| FalkorDB | Vector/Graph | Stable ✅ | | Unstable ❌ | | +| PGVector | Vector | Stable ✅ | | Unstable ❌ | | +| Milvus | Vector | Stable ✅ | | Unstable ❌ | | diff --git a/cognee-mcp/README.md b/cognee-mcp/README.md index 4ffa41e8f..c9926270c 100644 --- a/cognee-mcp/README.md +++ b/cognee-mcp/README.md @@ -1,31 +1,19 @@ # cognee MCP server - - - ### Installing Manually A MCP server project ======= -1. Clone the [cognee](www.github.com/topoteretes/cognee) repo - - +1. Clone the [cognee](https://github.com/topoteretes/cognee) repo 2. Install dependencies ``` -pip install uv -``` -``` -brew install postgresql -``` - -``` -brew install rust +brew install uv ``` ```jsx cd cognee-mcp -uv sync --dev --all-extras +uv sync --dev --all-extras --reinstall ``` 3. Activate the venv with @@ -37,11 +25,17 @@ source .venv/bin/activate 4. Add the new server to your Claude config: The file should be located here: ~/Library/Application\ Support/Claude/ +``` +cd ~/Library/Application\ Support/Claude/ +``` You need to create claude_desktop_config.json in this folder if it doesn't exist - +Make sure to add your paths and LLM API key to the file bellow +Use your editor of choice, for example Nano: +``` +nano claude_desktop_config.json ``` - +``` { "mcpServers": { "cognee": { @@ -57,16 +51,7 @@ You need to create claude_desktop_config.json in this folder if it doesn't exist "TOKENIZERS_PARALLELISM": "false", "LLM_API_KEY": "sk-" } - }, - "filesystem": { - "command": "npx", - "args": [ - "-y", - "@modelcontextprotocol/server-filesystem", - "/Users/{user}/Desktop", - "/Users/{user}/Projects" - ] - } + } } } ``` @@ -83,3 +68,19 @@ npx -y @smithery/cli install cognee --client claude Define cognify tool in server.py Restart your Claude desktop. + + +To use debugger, run: +```bash +mcp dev src/server.py +``` +Open inspector with timeout passed: +``` +http://localhost:5173?timeout=120000 +``` + +To apply new changes while developing cognee you need to do: + +1. `poetry lock` in cognee folder +2. `uv sync --dev --all-extras --reinstall ` +3. `mcp dev src/server.py` diff --git a/cognee-mcp/cognee_mcp/__init__.py b/cognee-mcp/cognee_mcp/__init__.py deleted file mode 100644 index 8c1ca4328..000000000 --- a/cognee-mcp/cognee_mcp/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -import asyncio - -from . import server - - -def main(): - """Main entry point for the package.""" - asyncio.run(server.main()) - - -# Optionally expose other important items at package level -__all__ = ["main", "server"] - -if __name__ == "__main__": - main() diff --git a/cognee-mcp/cognee_mcp/server.py b/cognee-mcp/cognee_mcp/server.py deleted file mode 100644 index 19dc999d7..000000000 --- a/cognee-mcp/cognee_mcp/server.py +++ /dev/null @@ -1,180 +0,0 @@ -import importlib.util -import os -import asyncio -from contextlib import redirect_stderr, redirect_stdout - -import cognee -import mcp.server.stdio -import mcp.types as types -from cognee.api.v1.search import SearchType -from cognee.shared.data_models import KnowledgeGraph -from mcp.server import NotificationOptions, Server -from mcp.server.models import InitializationOptions - -server = Server("cognee-mcp") - - -def node_to_string(node): - # keys_to_keep = ["chunk_index", "topological_rank", "cut_type", "id", "text"] - # keyset = set(keys_to_keep) & node.keys() - # return "Node(" + " ".join([key + ": " + str(node[key]) + "," for key in keyset]) + ")" - node_data = ", ".join( - [f'{key}: "{value}"' for key, value in node.items() if key in ["id", "name"]] - ) - - return f"Node({node_data})" - - -def retrieved_edges_to_string(search_results): - edge_strings = [] - for triplet in search_results: - node1, edge, node2 = triplet - relationship_type = edge["relationship_name"] - edge_str = f"{node_to_string(node1)} {relationship_type} {node_to_string(node2)}" - edge_strings.append(edge_str) - return "\n".join(edge_strings) - - -def load_class(model_file, model_name): - model_file = os.path.abspath(model_file) - spec = importlib.util.spec_from_file_location("graph_model", model_file) - module = importlib.util.module_from_spec(spec) - spec.loader.exec_module(module) - - model_class = getattr(module, model_name) - - return model_class - - -@server.list_tools() -async def handle_list_tools() -> list[types.Tool]: - """ - List available tools. - Each tool specifies its arguments using JSON Schema validation. - """ - return [ - types.Tool( - name="cognify", - description="Build knowledge graph from the input text.", - inputSchema={ - "type": "object", - "properties": { - "text": {"type": "string"}, - "graph_model_file": {"type": "string"}, - "graph_model_name": {"type": "string"}, - }, - "required": ["text"], - }, - ), - types.Tool( - name="search", - description="Search the knowledge graph.", - inputSchema={ - "type": "object", - "properties": { - "query": {"type": "string"}, - }, - "required": ["query"], - }, - ), - types.Tool( - name="prune", - description="Reset the knowledge graph.", - inputSchema={ - "type": "object", - "properties": { - "query": {"type": "string"}, - }, - }, - ), - ] - - -@server.call_tool() -async def handle_call_tool( - name: str, arguments: dict | None -) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: - """ - Handle tool execution requests. - Tools can modify server state and notify clients of changes. - """ - if name == "cognify": - with open(os.devnull, "w") as fnull: - with redirect_stdout(fnull), redirect_stderr(fnull): - if not arguments: - raise ValueError("Missing arguments") - - text = arguments.get("text") - - if ("graph_model_file" in arguments) and ("graph_model_name" in arguments): - model_file = arguments.get("graph_model_file") - model_name = arguments.get("graph_model_name") - - graph_model = load_class(model_file, model_name) - else: - graph_model = KnowledgeGraph - - await cognee.add(text) - - await cognee.cognify(graph_model=graph_model) - - return [ - types.TextContent( - type="text", - text="Ingested", - ) - ] - elif name == "search": - with open(os.devnull, "w") as fnull: - with redirect_stdout(fnull), redirect_stderr(fnull): - if not arguments: - raise ValueError("Missing arguments") - - search_query = arguments.get("query") - - search_results = await cognee.search(SearchType.INSIGHTS, query_text=search_query) - - results = retrieved_edges_to_string(search_results) - - return [ - types.TextContent( - type="text", - text=results, - ) - ] - elif name == "prune": - with open(os.devnull, "w") as fnull: - with redirect_stdout(fnull), redirect_stderr(fnull): - await cognee.prune.prune_data() - await cognee.prune.prune_system(metadata=True) - - return [ - types.TextContent( - type="text", - text="Pruned", - ) - ] - else: - raise ValueError(f"Unknown tool: {name}") - - -async def main(): - # Run the server using stdin/stdout streams - async with mcp.server.stdio.stdio_server() as (read_stream, write_stream): - await server.run( - read_stream, - write_stream, - InitializationOptions( - server_name="cognee-mcp", - server_version="0.1.0", - capabilities=server.get_capabilities( - notification_options=NotificationOptions(), - experimental_capabilities={}, - ), - ), - ) - - -# This is needed if you'd like to connect to a custom client -if __name__ == "__main__": - asyncio.run(main()) diff --git a/cognee-mcp/pyproject.toml b/cognee-mcp/pyproject.toml index aaef31c41..5b7ea57e8 100644 --- a/cognee-mcp/pyproject.toml +++ b/cognee-mcp/pyproject.toml @@ -4,74 +4,10 @@ version = "0.1.0" description = "A MCP server project" readme = "README.md" requires-python = ">=3.10" + dependencies = [ - "mcp>=1.1.1", - "openai==1.59.4", - "pydantic==2.8.2", - "python-dotenv==1.0.1", - "fastapi>=0.109.2,<0.110.0", - "uvicorn==0.22.0", - "requests==2.32.3", - "aiohttp==3.10.10", - "typing_extensions==4.12.2", - "nest_asyncio==1.6.0", - "numpy==1.26.4", - "datasets==3.1.0", - "falkordb==1.0.9", # Optional - "boto3>=1.26.125,<2.0.0", - "botocore>=1.35.54,<2.0.0", - "gunicorn>=20.1.0,<21.0.0", - "sqlalchemy==2.0.36", - "instructor==1.7.2", - "networkx>=3.2.1,<4.0.0", - "aiosqlite>=0.20.0,<0.21.0", - "pandas==2.2.3", - "filetype>=1.2.0,<2.0.0", - "nltk>=3.8.1,<4.0.0", - "dlt[sqlalchemy]>=1.4.1,<2.0.0", - "aiofiles>=23.2.1,<24.0.0", - "qdrant-client>=1.9.0,<2.0.0", # Optional - "graphistry>=0.33.5,<0.34.0", - "tenacity>=9.0.0", - "weaviate-client==4.6.7", # Optional - "scikit-learn>=1.5.0,<2.0.0", - "pypdf>=4.1.0,<5.0.0", - "neo4j>=5.20.0,<6.0.0", # Optional - "jinja2>=3.1.3,<4.0.0", - "matplotlib>=3.8.3,<4.0.0", - "tiktoken==0.7.0", - "langchain_text_splitters==0.3.2", # Optional - "langsmith==0.1.139", # Optional - "langdetect==1.0.9", - "posthog>=3.5.0,<4.0.0", # Optional - "lancedb==0.16.0", - "litellm==1.57.2", - "groq==0.8.0", # Optional - "langfuse>=2.32.0,<3.0.0", # Optional - "pydantic-settings>=2.2.1,<3.0.0", - "anthropic>=0.26.1,<1.0.0", - "sentry-sdk[fastapi]>=2.9.0,<3.0.0", - "fastapi-users[sqlalchemy]", # Optional - "alembic>=1.13.3,<2.0.0", - "asyncpg==0.30.0", # Optional - "pgvector>=0.3.5,<0.4.0", # Optional - "psycopg2>=2.9.10,<3.0.0", # Optional - "llama-index-core>=0.12.0", # Optional - "deepeval>=2.0.1,<3.0.0", # Optional - "transformers>=4.46.3,<5.0.0", - "pymilvus>=2.5.0,<3.0.0", # Optional - "unstructured[csv,doc,docx,epub,md,odt,org,ppt,pptx,rst,rtf,tsv,xlsx]>=0.16.10,<1.0.0", # Optional - "pytest>=7.4.0,<8.0.0", - "pytest-asyncio>=0.21.1,<0.22.0", - "coverage>=7.3.2,<8.0.0", - "mypy>=1.7.1,<2.0.0", - "deptry>=0.20.0,<0.21.0", - "debugpy==1.8.2", - "pylint>=3.0.3,<4.0.0", - "ruff>=0.2.2,<0.3.0", - "tweepy==4.14.0", - "gitpython>=3.1.43,<4.0.0", "cognee", + "mcp==1.2.0", ] [[project.authors]] @@ -79,16 +15,14 @@ name = "Rita Aleksziev" email = "rita@topoteretes.com" [build-system] -requires = [ "hatchling",] +requires = [ "hatchling", ] build-backend = "hatchling.build" +[tool.hatch.build.targets.wheel] +packages = ["src"] + [tool.uv.sources] cognee = { path = "../../cognee" } -[dependency-groups] -dev = [ - "cognee", -] - [project.scripts] -cognee = "cognee_mcp:main" +cognee = "src:main" diff --git a/cognee-mcp/src/__init__.py b/cognee-mcp/src/__init__.py new file mode 100644 index 000000000..1939efe9f --- /dev/null +++ b/cognee-mcp/src/__init__.py @@ -0,0 +1,8 @@ +from .server import main as server_main + + +def main(): + """Main entry point for the package.""" + import asyncio + + asyncio.run(server_main()) diff --git a/cognee-mcp/src/client.py b/cognee-mcp/src/client.py new file mode 100755 index 000000000..46218e1a4 --- /dev/null +++ b/cognee-mcp/src/client.py @@ -0,0 +1,50 @@ +from datetime import timedelta +from mcp import ClientSession, StdioServerParameters +from mcp.client.stdio import stdio_client + +# Create server parameters for stdio connection +server_params = StdioServerParameters( + command="uv", # Executable + args=["--directory", ".", "run", "cognee"], # Optional command line arguments + env=None, # Optional environment variables +) + +text = """ +Artificial intelligence, or AI, is technology that enables computers +and machines to simulate human intelligence and problem-solving +capabilities. +On its own or combined with other technologies (e.g., sensors, +geolocation, robotics) AI can perform tasks that would otherwise +require human intelligence or intervention. Digital assistants, GPS +guidance, autonomous vehicles, and generative AI tools (like Open +AI's Chat GPT) are just a few examples of AI in the daily news and +our daily lives. +As a field of computer science, artificial intelligence encompasses +(and is often mentioned together with) machine learning and deep +learning. These disciplines involve the development of AI +algorithms, modeled after the decision-making processes of the human +brain, that can ‘learn’ from available data and make increasingly +more accurate classifications or predictions over time. +""" + + +async def run(): + async with stdio_client(server_params) as (read, write): + async with ClientSession(read, write, timedelta(minutes=3)) as session: + await session.initialize() + + toolResult = await session.list_tools() + + toolResult = await session.call_tool("prune", arguments={}) + + toolResult = await session.call_tool("cognify", arguments={"text": text}) + + toolResult = await session.call_tool("search", arguments={"search_query": "AI"}) + + print(f"Cognify result: {toolResult.content}") + + +if __name__ == "__main__": + import asyncio + + asyncio.run(run()) diff --git a/cognee-mcp/src/server.py b/cognee-mcp/src/server.py new file mode 100755 index 000000000..4cc7440f8 --- /dev/null +++ b/cognee-mcp/src/server.py @@ -0,0 +1,219 @@ +import os +import cognee +import logging +import importlib.util +from contextlib import redirect_stderr, redirect_stdout + +# from PIL import Image as PILImage +import mcp.types as types +from mcp.server import Server, NotificationOptions +from mcp.server.models import InitializationOptions +from cognee.api.v1.search import SearchType +from cognee.shared.data_models import KnowledgeGraph + +mcp = Server("cognee") + +logger = logging.getLogger(__name__) + + +@mcp.list_tools() +async def list_tools() -> list[types.Tool]: + return [ + types.Tool( + name="cognify", + description="Cognifies text into knowledge graph", + inputSchema={ + "type": "object", + "properties": { + "text": { + "type": "string", + "description": "The text to cognify", + }, + "graph_model_file": { + "type": "string", + "description": "The path to the graph model file", + }, + "graph_model_name": { + "type": "string", + "description": "The name of the graph model", + }, + }, + "required": ["text"], + }, + ), + types.Tool( + name="search", + description="Searches for information in knowledge graph", + inputSchema={ + "type": "object", + "properties": { + "search_query": { + "type": "string", + "description": "The query to search for", + }, + }, + "required": ["search_query"], + }, + ), + types.Tool( + name="prune", + description="Prunes knowledge graph", + inputSchema={ + "type": "object", + "properties": {}, + }, + ), + ] + + +@mcp.call_tool() +async def call_tools(name: str, arguments: dict) -> list[types.TextContent]: + try: + with open(os.devnull, "w") as fnull: + with redirect_stdout(fnull), redirect_stderr(fnull): + if name == "cognify": + await cognify( + text=arguments["text"], + graph_model_file=arguments.get("graph_model_file", None), + graph_model_name=arguments.get("graph_model_name", None), + ) + + return [types.TextContent(type="text", text="Ingested")] + elif name == "search": + search_results = await search(arguments["search_query"]) + + return [types.TextContent(type="text", text=search_results)] + elif name == "prune": + await prune() + + return [types.TextContent(type="text", text="Pruned")] + except Exception as e: + logger.error(f"Error calling tool '{name}': {str(e)}") + return [types.TextContent(type="text", text=f"Error calling tool '{name}': {str(e)}")] + + +async def cognify(text: str, graph_model_file: str = None, graph_model_name: str = None) -> str: + """Build knowledge graph from the input text""" + if graph_model_file and graph_model_name: + graph_model = load_class(graph_model_file, graph_model_name) + else: + graph_model = KnowledgeGraph + + await cognee.add(text) + + try: + await cognee.cognify(graph_model=graph_model) + except Exception as e: + raise ValueError(f"Failed to cognify: {str(e)}") + + +async def search(search_query: str) -> str: + """Search the knowledge graph""" + search_results = await cognee.search(SearchType.INSIGHTS, query_text=search_query) + + results = retrieved_edges_to_string(search_results) + + return results + + +async def prune() -> str: + """Reset the knowledge graph""" + await cognee.prune.prune_data() + await cognee.prune.prune_system(metadata=True) + + +async def main(): + try: + from mcp.server.stdio import stdio_server + + async with stdio_server() as (read_stream, write_stream): + await mcp.run( + read_stream=read_stream, + write_stream=write_stream, + initialization_options=InitializationOptions( + server_name="cognee", + server_version="0.1.0", + capabilities=mcp.get_capabilities( + notification_options=NotificationOptions(), + experimental_capabilities={}, + ), + ), + raise_exceptions=True, + ) + + except Exception as e: + logger.error(f"Server failed to start: {str(e)}", exc_info=True) + raise + + +# async def visualize() -> Image: +# """Visualize the knowledge graph""" +# try: +# image_path = await cognee.visualize_graph() + +# img = PILImage.open(image_path) +# return Image(data=img.tobytes(), format="png") +# except (FileNotFoundError, IOError, ValueError) as e: +# raise ValueError(f"Failed to create visualization: {str(e)}") + + +def node_to_string(node): + node_data = ", ".join( + [f'{key}: "{value}"' for key, value in node.items() if key in ["id", "name"]] + ) + + return f"Node({node_data})" + + +def retrieved_edges_to_string(search_results): + edge_strings = [] + for triplet in search_results: + node1, edge, node2 = triplet + relationship_type = edge["relationship_name"] + edge_str = f"{node_to_string(node1)} {relationship_type} {node_to_string(node2)}" + edge_strings.append(edge_str) + return "\n".join(edge_strings) + + +def load_class(model_file, model_name): + model_file = os.path.abspath(model_file) + spec = importlib.util.spec_from_file_location("graph_model", model_file) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + + model_class = getattr(module, model_name) + + return model_class + + +# def get_freshest_png(directory: str) -> Image: +# if not os.path.exists(directory): +# raise FileNotFoundError(f"Directory {directory} does not exist") + +# # List all files in 'directory' that end with .png +# files = [f for f in os.listdir(directory) if f.endswith(".png")] +# if not files: +# raise FileNotFoundError("No PNG files found in the given directory.") + +# # Sort by integer value of the filename (minus the '.png') +# # Example filename: 1673185134.png -> integer 1673185134 +# try: +# files_sorted = sorted(files, key=lambda x: int(x.replace(".png", ""))) +# except ValueError as e: +# raise ValueError("Invalid PNG filename format. Expected timestamp format.") from e + +# # The "freshest" file has the largest timestamp +# freshest_filename = files_sorted[-1] +# freshest_path = os.path.join(directory, freshest_filename) + +# # Open the image with PIL and return the PIL Image object +# try: +# return PILImage.open(freshest_path) +# except (IOError, OSError) as e: +# raise IOError(f"Failed to open PNG file {freshest_path}") from e + +if __name__ == "__main__": + # Initialize and run the server + import asyncio + + asyncio.run(main()) diff --git a/cognee-mcp/uv.lock b/cognee-mcp/uv.lock index 46f6c198b..e467727f8 100644 --- a/cognee-mcp/uv.lock +++ b/cognee-mcp/uv.lock @@ -1,11 +1,11 @@ version = 1 requires-python = ">=3.10" resolution-markers = [ - "python_full_version < '3.11'", - "python_full_version == '3.11.*'", - "python_full_version >= '3.12' and python_full_version < '3.12.4'", - "python_full_version >= '3.12.4' and python_full_version < '3.13'", "python_full_version >= '3.13'", + "python_full_version >= '3.12.4' and python_full_version < '3.13'", + "python_full_version >= '3.12' and python_full_version < '3.12.4'", + "python_full_version == '3.11.*'", + "python_full_version < '3.11'", ] [[package]] @@ -129,16 +129,16 @@ wheels = [ [[package]] name = "alembic" -version = "1.14.0" +version = "1.14.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "mako" }, { name = "sqlalchemy" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/00/1e/8cb8900ba1b6360431e46fb7a89922916d3a1b017a8908a7c0499cc7e5f6/alembic-1.14.0.tar.gz", hash = "sha256:b00892b53b3642d0b8dbedba234dbf1924b69be83a9a769d5a624b01094e304b", size = 1916172 } +sdist = { url = "https://files.pythonhosted.org/packages/99/09/f844822e4e847a3f0bd41797f93c4674cd4d2462a3f6c459aa528cdf786e/alembic-1.14.1.tar.gz", hash = "sha256:496e888245a53adf1498fcab31713a469c65836f8de76e01399aa1c3e90dd213", size = 1918219 } wheels = [ - { url = "https://files.pythonhosted.org/packages/cb/06/8b505aea3d77021b18dcbd8133aa1418f1a1e37e432a465b14c46b2c0eaa/alembic-1.14.0-py3-none-any.whl", hash = "sha256:99bd884ca390466db5e27ffccff1d179ec5c05c965cfefc0607e69f9e411cb25", size = 233482 }, + { url = "https://files.pythonhosted.org/packages/54/7e/ac0991d1745f7d755fc1cd381b3990a45b404b4d008fc75e2a983516fbfe/alembic-1.14.1-py3-none-any.whl", hash = "sha256:1acdd7a3a478e208b0503cd73614d5e4c6efafa4e73518bb60e4f2846a37b1c5", size = 233565 }, ] [[package]] @@ -171,7 +171,7 @@ wheels = [ [[package]] name = "anyio" -version = "4.7.0" +version = "4.8.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, @@ -179,9 +179,9 @@ dependencies = [ { name = "sniffio" }, { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/f6/40/318e58f669b1a9e00f5c4453910682e2d9dd594334539c7b7817dabb765f/anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48", size = 177076 } +sdist = { url = "https://files.pythonhosted.org/packages/a3/73/199a98fc2dae33535d6b8e8e6ec01f8c1d76c9adb096c6b7d64823038cde/anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a", size = 181126 } wheels = [ - { url = "https://files.pythonhosted.org/packages/a0/7a/4daaf3b6c08ad7ceffea4634ec206faeff697526421c20f07628c7372156/anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352", size = 93052 }, + { url = "https://files.pythonhosted.org/packages/46/eb/e7f063ad1fec6b3178a3cd82d1a3c4de82cccf283fc42746168188e1cdd5/anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a", size = 96041 }, ] [[package]] @@ -217,18 +217,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/5a/e4/bf8034d25edaa495da3c8a3405627d2e35758e44ff6eaa7948092646fdcc/argon2_cffi_bindings-21.2.0-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:e415e3f62c8d124ee16018e491a009937f8cf7ebf5eb430ffc5de21b900dad93", size = 53104 }, ] -[[package]] -name = "astroid" -version = "3.3.6" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/ca/40/e028137cb19ed577001c76b91c5c50fee5a9c85099f45820b69385574ac5/astroid-3.3.6.tar.gz", hash = "sha256:6aaea045f938c735ead292204afdb977a36e989522b7833ef6fea94de743f442", size = 397452 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/0c/d2/82c8ccef22ea873a2b0da9636e47d45137eeeb2fb9320c5dbbdd3627bab0/astroid-3.3.6-py3-none-any.whl", hash = "sha256:db676dc4f3ae6bfe31cda227dc60e03438378d7a896aec57422c95634e8d722f", size = 274644 }, -] - [[package]] name = "async-timeout" version = "4.0.3" @@ -238,49 +226,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a7/fa/e01228c2938de91d47b307831c62ab9e4001e747789d0b05baf779a6488c/async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028", size = 5721 }, ] -[[package]] -name = "asyncpg" -version = "0.30.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "async-timeout", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/2f/4c/7c991e080e106d854809030d8584e15b2e996e26f16aee6d757e387bc17d/asyncpg-0.30.0.tar.gz", hash = "sha256:c551e9928ab6707602f44811817f82ba3c446e018bfe1d3abecc8ba5f3eac851", size = 957746 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/bb/07/1650a8c30e3a5c625478fa8aafd89a8dd7d85999bf7169b16f54973ebf2c/asyncpg-0.30.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bfb4dd5ae0699bad2b233672c8fc5ccbd9ad24b89afded02341786887e37927e", size = 673143 }, - { url = "https://files.pythonhosted.org/packages/a0/9a/568ff9b590d0954553c56806766914c149609b828c426c5118d4869111d3/asyncpg-0.30.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc1f62c792752a49f88b7e6f774c26077091b44caceb1983509edc18a2222ec0", size = 645035 }, - { url = "https://files.pythonhosted.org/packages/de/11/6f2fa6c902f341ca10403743701ea952bca896fc5b07cc1f4705d2bb0593/asyncpg-0.30.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3152fef2e265c9c24eec4ee3d22b4f4d2703d30614b0b6753e9ed4115c8a146f", size = 2912384 }, - { url = "https://files.pythonhosted.org/packages/83/83/44bd393919c504ffe4a82d0aed8ea0e55eb1571a1dea6a4922b723f0a03b/asyncpg-0.30.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c7255812ac85099a0e1ffb81b10dc477b9973345793776b128a23e60148dd1af", size = 2947526 }, - { url = "https://files.pythonhosted.org/packages/08/85/e23dd3a2b55536eb0ded80c457b0693352262dc70426ef4d4a6fc994fa51/asyncpg-0.30.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:578445f09f45d1ad7abddbff2a3c7f7c291738fdae0abffbeb737d3fc3ab8b75", size = 2895390 }, - { url = "https://files.pythonhosted.org/packages/9b/26/fa96c8f4877d47dc6c1864fef5500b446522365da3d3d0ee89a5cce71a3f/asyncpg-0.30.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c42f6bb65a277ce4d93f3fba46b91a265631c8df7250592dd4f11f8b0152150f", size = 3015630 }, - { url = "https://files.pythonhosted.org/packages/34/00/814514eb9287614188a5179a8b6e588a3611ca47d41937af0f3a844b1b4b/asyncpg-0.30.0-cp310-cp310-win32.whl", hash = "sha256:aa403147d3e07a267ada2ae34dfc9324e67ccc4cdca35261c8c22792ba2b10cf", size = 568760 }, - { url = "https://files.pythonhosted.org/packages/f0/28/869a7a279400f8b06dd237266fdd7220bc5f7c975348fea5d1e6909588e9/asyncpg-0.30.0-cp310-cp310-win_amd64.whl", hash = "sha256:fb622c94db4e13137c4c7f98834185049cc50ee01d8f657ef898b6407c7b9c50", size = 625764 }, - { url = "https://files.pythonhosted.org/packages/4c/0e/f5d708add0d0b97446c402db7e8dd4c4183c13edaabe8a8500b411e7b495/asyncpg-0.30.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5e0511ad3dec5f6b4f7a9e063591d407eee66b88c14e2ea636f187da1dcfff6a", size = 674506 }, - { url = "https://files.pythonhosted.org/packages/6a/a0/67ec9a75cb24a1d99f97b8437c8d56da40e6f6bd23b04e2f4ea5d5ad82ac/asyncpg-0.30.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:915aeb9f79316b43c3207363af12d0e6fd10776641a7de8a01212afd95bdf0ed", size = 645922 }, - { url = "https://files.pythonhosted.org/packages/5c/d9/a7584f24174bd86ff1053b14bb841f9e714380c672f61c906eb01d8ec433/asyncpg-0.30.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c198a00cce9506fcd0bf219a799f38ac7a237745e1d27f0e1f66d3707c84a5a", size = 3079565 }, - { url = "https://files.pythonhosted.org/packages/a0/d7/a4c0f9660e333114bdb04d1a9ac70db690dd4ae003f34f691139a5cbdae3/asyncpg-0.30.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3326e6d7381799e9735ca2ec9fd7be4d5fef5dcbc3cb555d8a463d8460607956", size = 3109962 }, - { url = "https://files.pythonhosted.org/packages/3c/21/199fd16b5a981b1575923cbb5d9cf916fdc936b377e0423099f209e7e73d/asyncpg-0.30.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:51da377487e249e35bd0859661f6ee2b81db11ad1f4fc036194bc9cb2ead5056", size = 3064791 }, - { url = "https://files.pythonhosted.org/packages/77/52/0004809b3427534a0c9139c08c87b515f1c77a8376a50ae29f001e53962f/asyncpg-0.30.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bc6d84136f9c4d24d358f3b02be4b6ba358abd09f80737d1ac7c444f36108454", size = 3188696 }, - { url = "https://files.pythonhosted.org/packages/52/cb/fbad941cd466117be58b774a3f1cc9ecc659af625f028b163b1e646a55fe/asyncpg-0.30.0-cp311-cp311-win32.whl", hash = "sha256:574156480df14f64c2d76450a3f3aaaf26105869cad3865041156b38459e935d", size = 567358 }, - { url = "https://files.pythonhosted.org/packages/3c/0a/0a32307cf166d50e1ad120d9b81a33a948a1a5463ebfa5a96cc5606c0863/asyncpg-0.30.0-cp311-cp311-win_amd64.whl", hash = "sha256:3356637f0bd830407b5597317b3cb3571387ae52ddc3bca6233682be88bbbc1f", size = 629375 }, - { url = "https://files.pythonhosted.org/packages/4b/64/9d3e887bb7b01535fdbc45fbd5f0a8447539833b97ee69ecdbb7a79d0cb4/asyncpg-0.30.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c902a60b52e506d38d7e80e0dd5399f657220f24635fee368117b8b5fce1142e", size = 673162 }, - { url = "https://files.pythonhosted.org/packages/6e/eb/8b236663f06984f212a087b3e849731f917ab80f84450e943900e8ca4052/asyncpg-0.30.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:aca1548e43bbb9f0f627a04666fedaca23db0a31a84136ad1f868cb15deb6e3a", size = 637025 }, - { url = "https://files.pythonhosted.org/packages/cc/57/2dc240bb263d58786cfaa60920779af6e8d32da63ab9ffc09f8312bd7a14/asyncpg-0.30.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c2a2ef565400234a633da0eafdce27e843836256d40705d83ab7ec42074efb3", size = 3496243 }, - { url = "https://files.pythonhosted.org/packages/f4/40/0ae9d061d278b10713ea9021ef6b703ec44698fe32178715a501ac696c6b/asyncpg-0.30.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1292b84ee06ac8a2ad8e51c7475aa309245874b61333d97411aab835c4a2f737", size = 3575059 }, - { url = "https://files.pythonhosted.org/packages/c3/75/d6b895a35a2c6506952247640178e5f768eeb28b2e20299b6a6f1d743ba0/asyncpg-0.30.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:0f5712350388d0cd0615caec629ad53c81e506b1abaaf8d14c93f54b35e3595a", size = 3473596 }, - { url = "https://files.pythonhosted.org/packages/c8/e7/3693392d3e168ab0aebb2d361431375bd22ffc7b4a586a0fc060d519fae7/asyncpg-0.30.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:db9891e2d76e6f425746c5d2da01921e9a16b5a71a1c905b13f30e12a257c4af", size = 3641632 }, - { url = "https://files.pythonhosted.org/packages/32/ea/15670cea95745bba3f0352341db55f506a820b21c619ee66b7d12ea7867d/asyncpg-0.30.0-cp312-cp312-win32.whl", hash = "sha256:68d71a1be3d83d0570049cd1654a9bdfe506e794ecc98ad0873304a9f35e411e", size = 560186 }, - { url = "https://files.pythonhosted.org/packages/7e/6b/fe1fad5cee79ca5f5c27aed7bd95baee529c1bf8a387435c8ba4fe53d5c1/asyncpg-0.30.0-cp312-cp312-win_amd64.whl", hash = "sha256:9a0292c6af5c500523949155ec17b7fe01a00ace33b68a476d6b5059f9630305", size = 621064 }, - { url = "https://files.pythonhosted.org/packages/3a/22/e20602e1218dc07692acf70d5b902be820168d6282e69ef0d3cb920dc36f/asyncpg-0.30.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:05b185ebb8083c8568ea8a40e896d5f7af4b8554b64d7719c0eaa1eb5a5c3a70", size = 670373 }, - { url = "https://files.pythonhosted.org/packages/3d/b3/0cf269a9d647852a95c06eb00b815d0b95a4eb4b55aa2d6ba680971733b9/asyncpg-0.30.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c47806b1a8cbb0a0db896f4cd34d89942effe353a5035c62734ab13b9f938da3", size = 634745 }, - { url = "https://files.pythonhosted.org/packages/8e/6d/a4f31bf358ce8491d2a31bfe0d7bcf25269e80481e49de4d8616c4295a34/asyncpg-0.30.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b6fde867a74e8c76c71e2f64f80c64c0f3163e687f1763cfaf21633ec24ec33", size = 3512103 }, - { url = "https://files.pythonhosted.org/packages/96/19/139227a6e67f407b9c386cb594d9628c6c78c9024f26df87c912fabd4368/asyncpg-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46973045b567972128a27d40001124fbc821c87a6cade040cfcd4fa8a30bcdc4", size = 3592471 }, - { url = "https://files.pythonhosted.org/packages/67/e4/ab3ca38f628f53f0fd28d3ff20edff1c975dd1cb22482e0061916b4b9a74/asyncpg-0.30.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9110df111cabc2ed81aad2f35394a00cadf4f2e0635603db6ebbd0fc896f46a4", size = 3496253 }, - { url = "https://files.pythonhosted.org/packages/ef/5f/0bf65511d4eeac3a1f41c54034a492515a707c6edbc642174ae79034d3ba/asyncpg-0.30.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:04ff0785ae7eed6cc138e73fc67b8e51d54ee7a3ce9b63666ce55a0bf095f7ba", size = 3662720 }, - { url = "https://files.pythonhosted.org/packages/e7/31/1513d5a6412b98052c3ed9158d783b1e09d0910f51fbe0e05f56cc370bc4/asyncpg-0.30.0-cp313-cp313-win32.whl", hash = "sha256:ae374585f51c2b444510cdf3595b97ece4f233fde739aa14b50e0d64e8a7a590", size = 560404 }, - { url = "https://files.pythonhosted.org/packages/c8/a4/cec76b3389c4c5ff66301cd100fe88c318563ec8a520e0b2e792b5b84972/asyncpg-0.30.0-cp313-cp313-win_amd64.whl", hash = "sha256:f59b430b8e27557c3fb9869222559f7417ced18688375825f8f12302c34e915e", size = 621623 }, -] - [[package]] name = "attrs" version = "24.3.0" @@ -290,18 +235,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/89/aa/ab0f7891a01eeb2d2e338ae8fecbe57fcebea1a24dbb64d45801bfab481d/attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308", size = 63397 }, ] -[[package]] -name = "authlib" -version = "1.3.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "cryptography" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/f3/75/47dbab150ef6f9298e227a40c93c7fed5f3ffb67c9fb62cd49f66285e46e/authlib-1.3.2.tar.gz", hash = "sha256:4b16130117f9eb82aa6eec97f6dd4673c3f960ac0283ccdae2897ee4bc030ba2", size = 147313 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/df/4c/9aa0416a403d5cc80292cb030bcd2c918cce2755e314d8c1aa18656e1e12/Authlib-1.3.2-py2.py3-none-any.whl", hash = "sha256:ede026a95e9f5cdc2d4364a52103f5405e75aa156357e831ef2bfd0bc5094dfc", size = 225111 }, -] - [[package]] name = "backoff" version = "2.2.1" @@ -343,18 +276,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/3b/05/2546085c6dc07a45627460a39e6291b82382b434fff2bd0167ff3bc31eb1/bcrypt-4.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e158009a54c4c8bc91d5e0da80920d048f918c61a581f0a63e4e93bb556d362f", size = 274652 }, ] -[[package]] -name = "beautifulsoup4" -version = "4.12.3" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "soupsieve" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/b3/ca/824b1195773ce6166d388573fc106ce56d4a805bd7427b624e063596ec58/beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051", size = 581181 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b1/fe/e8c672695b37eecc5cbf43e1d0638d88d66ba3a44c4d321c796f4e59167f/beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed", size = 147925 }, -] - [[package]] name = "bokeh" version = "3.6.2" @@ -377,30 +298,30 @@ wheels = [ [[package]] name = "boto3" -version = "1.35.84" +version = "1.36.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "botocore" }, { name = "jmespath" }, { name = "s3transfer" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/9f/c5/c6e68d008905ec4069cb92473606fc2eea12384f990c786a199ea3db2c7e/boto3-1.35.84.tar.gz", hash = "sha256:9f9bf72d92f7fdd546b974ffa45fa6715b9af7f5c00463e9d0f6ef9c95efe0c2", size = 111035 } +sdist = { url = "https://files.pythonhosted.org/packages/3a/e9/c0b2fa75efc4007ea1af21bc2fcbedf6e545c517fb90904d7f59850e02bf/boto3-1.36.2.tar.gz", hash = "sha256:fde1c29996b77274a60b7bc9f741525afa6267bb1716eb644a764fb7c124a0d2", size = 110998 } wheels = [ - { url = "https://files.pythonhosted.org/packages/19/4a/b3fefabc2795d0adda85f092332ec0544e57e80c86d6d9f9bb1484b73d79/boto3-1.35.84-py3-none-any.whl", hash = "sha256:c94fc8023caf952f8740a48fc400521bba167f883cfa547d985c05fda7223f7a", size = 139183 }, + { url = "https://files.pythonhosted.org/packages/17/c2/72a92794237b43f64141e156bc3a58bc36d18631f1a614e1e97a48b56447/boto3-1.36.2-py3-none-any.whl", hash = "sha256:76cfc9a705be46e8d22607efacc8d688c064f923d785a01c00b28e9a96425d1a", size = 139166 }, ] [[package]] name = "botocore" -version = "1.35.84" +version = "1.36.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "jmespath" }, { name = "python-dateutil" }, { name = "urllib3" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/fd/17/d50362869aab4a0ae0f63416a03e592bf7fd3adb155dabce484198545c56/botocore-1.35.84.tar.gz", hash = "sha256:f86754882e04683e2e99a6a23377d0dd7f1fc2b2242844b2381dbe4dcd639301", size = 13485640 } +sdist = { url = "https://files.pythonhosted.org/packages/c6/93/353b70cea6447e37789fc2d6f761fc12ae36fb4adb6f558055de8cdf655f/botocore-1.36.2.tar.gz", hash = "sha256:a1fe6610983f0214b0c7655fe6990b6a731746baf305b182976fc7b568fc3cb0", size = 13505440 } wheels = [ - { url = "https://files.pythonhosted.org/packages/b4/1f/a36fc867c6aef0d346e9b6b2bfe33be458c36f770f7ad8e15acc3474999d/botocore-1.35.84-py3-none-any.whl", hash = "sha256:b4dc2ac7f54ba959429e1debbd6c7c2fb2349baa1cd63803f0682f0773dbd077", size = 13287873 }, + { url = "https://files.pythonhosted.org/packages/0c/fe/c066e8cb069027c12dbcf9066a7a4f3e9d2a31b10c7b174a8455ef1d0f46/botocore-1.36.2-py3-none-any.whl", hash = "sha256:bc3b7e3b573a48af2bd7116b80fe24f9a335b0b67314dcb2697a327d009abf29", size = 13302324 }, ] [[package]] @@ -478,99 +399,82 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c5/55/51844dd50c4fc7a33b653bfaba4c2456f06955289ca770a5dbd5fd267374/cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9", size = 7249 }, ] -[[package]] -name = "chardet" -version = "5.2.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f3/0d/f7b6ab21ec75897ed80c17d79b15951a719226b9fababf1e40ea74d69079/chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7", size = 2069618 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/38/6f/f5fbc992a329ee4e0f288c1fe0e2ad9485ed064cac731ed2fe47dcc38cbf/chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970", size = 199385 }, -] - [[package]] name = "charset-normalizer" -version = "3.4.0" +version = "3.4.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f2/4f/e1808dc01273379acc506d18f1504eb2d299bd4131743b9fc54d7be4df1e/charset_normalizer-3.4.0.tar.gz", hash = "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e", size = 106620 } +sdist = { url = "https://files.pythonhosted.org/packages/16/b0/572805e227f01586461c80e0fd25d65a2115599cc9dad142fee4b747c357/charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3", size = 123188 } wheels = [ - { url = "https://files.pythonhosted.org/packages/69/8b/825cc84cf13a28bfbcba7c416ec22bf85a9584971be15b21dd8300c65b7f/charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6", size = 196363 }, - { url = "https://files.pythonhosted.org/packages/23/81/d7eef6a99e42c77f444fdd7bc894b0ceca6c3a95c51239e74a722039521c/charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b", size = 125639 }, - { url = "https://files.pythonhosted.org/packages/21/67/b4564d81f48042f520c948abac7079356e94b30cb8ffb22e747532cf469d/charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99", size = 120451 }, - { url = "https://files.pythonhosted.org/packages/c2/72/12a7f0943dd71fb5b4e7b55c41327ac0a1663046a868ee4d0d8e9c369b85/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca", size = 140041 }, - { url = "https://files.pythonhosted.org/packages/67/56/fa28c2c3e31217c4c52158537a2cf5d98a6c1e89d31faf476c89391cd16b/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d", size = 150333 }, - { url = "https://files.pythonhosted.org/packages/f9/d2/466a9be1f32d89eb1554cf84073a5ed9262047acee1ab39cbaefc19635d2/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7", size = 142921 }, - { url = "https://files.pythonhosted.org/packages/f8/01/344ec40cf5d85c1da3c1f57566c59e0c9b56bcc5566c08804a95a6cc8257/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f683ddc7eedd742e2889d2bfb96d69573fde1d92fcb811979cdb7165bb9c7d3", size = 144785 }, - { url = "https://files.pythonhosted.org/packages/73/8b/2102692cb6d7e9f03b9a33a710e0164cadfce312872e3efc7cfe22ed26b4/charset_normalizer-3.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27623ba66c183eca01bf9ff833875b459cad267aeeb044477fedac35e19ba907", size = 146631 }, - { url = "https://files.pythonhosted.org/packages/d8/96/cc2c1b5d994119ce9f088a9a0c3ebd489d360a2eb058e2c8049f27092847/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f606a1881d2663630ea5b8ce2efe2111740df4b687bd78b34a8131baa007f79b", size = 140867 }, - { url = "https://files.pythonhosted.org/packages/c9/27/cde291783715b8ec30a61c810d0120411844bc4c23b50189b81188b273db/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912", size = 149273 }, - { url = "https://files.pythonhosted.org/packages/3a/a4/8633b0fc1a2d1834d5393dafecce4a1cc56727bfd82b4dc18fc92f0d3cc3/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95", size = 152437 }, - { url = "https://files.pythonhosted.org/packages/64/ea/69af161062166b5975ccbb0961fd2384853190c70786f288684490913bf5/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e", size = 150087 }, - { url = "https://files.pythonhosted.org/packages/3b/fd/e60a9d9fd967f4ad5a92810138192f825d77b4fa2a557990fd575a47695b/charset_normalizer-3.4.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:79983512b108e4a164b9c8d34de3992f76d48cadc9554c9e60b43f308988aabe", size = 145142 }, - { url = "https://files.pythonhosted.org/packages/6d/02/8cb0988a1e49ac9ce2eed1e07b77ff118f2923e9ebd0ede41ba85f2dcb04/charset_normalizer-3.4.0-cp310-cp310-win32.whl", hash = "sha256:c94057af19bc953643a33581844649a7fdab902624d2eb739738a30e2b3e60fc", size = 94701 }, - { url = "https://files.pythonhosted.org/packages/d6/20/f1d4670a8a723c46be695dff449d86d6092916f9e99c53051954ee33a1bc/charset_normalizer-3.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:55f56e2ebd4e3bc50442fbc0888c9d8c94e4e06a933804e2af3e89e2f9c1c749", size = 102191 }, - { url = "https://files.pythonhosted.org/packages/9c/61/73589dcc7a719582bf56aae309b6103d2762b526bffe189d635a7fcfd998/charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c", size = 193339 }, - { url = "https://files.pythonhosted.org/packages/77/d5/8c982d58144de49f59571f940e329ad6e8615e1e82ef84584c5eeb5e1d72/charset_normalizer-3.4.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c57516e58fd17d03ebe67e181a4e4e2ccab1168f8c2976c6a334d4f819fe5944", size = 124366 }, - { url = "https://files.pythonhosted.org/packages/bf/19/411a64f01ee971bed3231111b69eb56f9331a769072de479eae7de52296d/charset_normalizer-3.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6dba5d19c4dfab08e58d5b36304b3f92f3bd5d42c1a3fa37b5ba5cdf6dfcbcee", size = 118874 }, - { url = "https://files.pythonhosted.org/packages/4c/92/97509850f0d00e9f14a46bc751daabd0ad7765cff29cdfb66c68b6dad57f/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf4475b82be41b07cc5e5ff94810e6a01f276e37c2d55571e3fe175e467a1a1c", size = 138243 }, - { url = "https://files.pythonhosted.org/packages/e2/29/d227805bff72ed6d6cb1ce08eec707f7cfbd9868044893617eb331f16295/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce031db0408e487fd2775d745ce30a7cd2923667cf3b69d48d219f1d8f5ddeb6", size = 148676 }, - { url = "https://files.pythonhosted.org/packages/13/bc/87c2c9f2c144bedfa62f894c3007cd4530ba4b5351acb10dc786428a50f0/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ff4e7cdfdb1ab5698e675ca622e72d58a6fa2a8aa58195de0c0061288e6e3ea", size = 141289 }, - { url = "https://files.pythonhosted.org/packages/eb/5b/6f10bad0f6461fa272bfbbdf5d0023b5fb9bc6217c92bf068fa5a99820f5/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3710a9751938947e6327ea9f3ea6332a09bf0ba0c09cae9cb1f250bd1f1549bc", size = 142585 }, - { url = "https://files.pythonhosted.org/packages/3b/a0/a68980ab8a1f45a36d9745d35049c1af57d27255eff8c907e3add84cf68f/charset_normalizer-3.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82357d85de703176b5587dbe6ade8ff67f9f69a41c0733cf2425378b49954de5", size = 144408 }, - { url = "https://files.pythonhosted.org/packages/d7/a1/493919799446464ed0299c8eef3c3fad0daf1c3cd48bff9263c731b0d9e2/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:47334db71978b23ebcf3c0f9f5ee98b8d65992b65c9c4f2d34c2eaf5bcaf0594", size = 139076 }, - { url = "https://files.pythonhosted.org/packages/fb/9d/9c13753a5a6e0db4a0a6edb1cef7aee39859177b64e1a1e748a6e3ba62c2/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:8ce7fd6767a1cc5a92a639b391891bf1c268b03ec7e021c7d6d902285259685c", size = 146874 }, - { url = "https://files.pythonhosted.org/packages/75/d2/0ab54463d3410709c09266dfb416d032a08f97fd7d60e94b8c6ef54ae14b/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:f1a2f519ae173b5b6a2c9d5fa3116ce16e48b3462c8b96dfdded11055e3d6365", size = 150871 }, - { url = "https://files.pythonhosted.org/packages/8d/c9/27e41d481557be53d51e60750b85aa40eaf52b841946b3cdeff363105737/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:63bc5c4ae26e4bc6be6469943b8253c0fd4e4186c43ad46e713ea61a0ba49129", size = 148546 }, - { url = "https://files.pythonhosted.org/packages/ee/44/4f62042ca8cdc0cabf87c0fc00ae27cd8b53ab68be3605ba6d071f742ad3/charset_normalizer-3.4.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bcb4f8ea87d03bc51ad04add8ceaf9b0f085ac045ab4d74e73bbc2dc033f0236", size = 143048 }, - { url = "https://files.pythonhosted.org/packages/01/f8/38842422988b795220eb8038745d27a675ce066e2ada79516c118f291f07/charset_normalizer-3.4.0-cp311-cp311-win32.whl", hash = "sha256:9ae4ef0b3f6b41bad6366fb0ea4fc1d7ed051528e113a60fa2a65a9abb5b1d99", size = 94389 }, - { url = "https://files.pythonhosted.org/packages/0b/6e/b13bd47fa9023b3699e94abf565b5a2f0b0be6e9ddac9812182596ee62e4/charset_normalizer-3.4.0-cp311-cp311-win_amd64.whl", hash = "sha256:cee4373f4d3ad28f1ab6290684d8e2ebdb9e7a1b74fdc39e4c211995f77bec27", size = 101752 }, - { url = "https://files.pythonhosted.org/packages/d3/0b/4b7a70987abf9b8196845806198975b6aab4ce016632f817ad758a5aa056/charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6", size = 194445 }, - { url = "https://files.pythonhosted.org/packages/50/89/354cc56cf4dd2449715bc9a0f54f3aef3dc700d2d62d1fa5bbea53b13426/charset_normalizer-3.4.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:de7376c29d95d6719048c194a9cf1a1b0393fbe8488a22008610b0361d834ecf", size = 125275 }, - { url = "https://files.pythonhosted.org/packages/fa/44/b730e2a2580110ced837ac083d8ad222343c96bb6b66e9e4e706e4d0b6df/charset_normalizer-3.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4a51b48f42d9358460b78725283f04bddaf44a9358197b889657deba38f329db", size = 119020 }, - { url = "https://files.pythonhosted.org/packages/9d/e4/9263b8240ed9472a2ae7ddc3e516e71ef46617fe40eaa51221ccd4ad9a27/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b295729485b06c1a0683af02a9e42d2caa9db04a373dc38a6a58cdd1e8abddf1", size = 139128 }, - { url = "https://files.pythonhosted.org/packages/6b/e3/9f73e779315a54334240353eaea75854a9a690f3f580e4bd85d977cb2204/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ee803480535c44e7f5ad00788526da7d85525cfefaf8acf8ab9a310000be4b03", size = 149277 }, - { url = "https://files.pythonhosted.org/packages/1a/cf/f1f50c2f295312edb8a548d3fa56a5c923b146cd3f24114d5adb7e7be558/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3d59d125ffbd6d552765510e3f31ed75ebac2c7470c7274195b9161a32350284", size = 142174 }, - { url = "https://files.pythonhosted.org/packages/16/92/92a76dc2ff3a12e69ba94e7e05168d37d0345fa08c87e1fe24d0c2a42223/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cda06946eac330cbe6598f77bb54e690b4ca93f593dee1568ad22b04f347c15", size = 143838 }, - { url = "https://files.pythonhosted.org/packages/a4/01/2117ff2b1dfc61695daf2babe4a874bca328489afa85952440b59819e9d7/charset_normalizer-3.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8", size = 146149 }, - { url = "https://files.pythonhosted.org/packages/f6/9b/93a332b8d25b347f6839ca0a61b7f0287b0930216994e8bf67a75d050255/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6b40e8d38afe634559e398cc32b1472f376a4099c75fe6299ae607e404c033b2", size = 140043 }, - { url = "https://files.pythonhosted.org/packages/ab/f6/7ac4a01adcdecbc7a7587767c776d53d369b8b971382b91211489535acf0/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b8dcd239c743aa2f9c22ce674a145e0a25cb1566c495928440a181ca1ccf6719", size = 148229 }, - { url = "https://files.pythonhosted.org/packages/9d/be/5708ad18161dee7dc6a0f7e6cf3a88ea6279c3e8484844c0590e50e803ef/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:84450ba661fb96e9fd67629b93d2941c871ca86fc38d835d19d4225ff946a631", size = 151556 }, - { url = "https://files.pythonhosted.org/packages/5a/bb/3d8bc22bacb9eb89785e83e6723f9888265f3a0de3b9ce724d66bd49884e/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:44aeb140295a2f0659e113b31cfe92c9061622cadbc9e2a2f7b8ef6b1e29ef4b", size = 149772 }, - { url = "https://files.pythonhosted.org/packages/f7/fa/d3fc622de05a86f30beea5fc4e9ac46aead4731e73fd9055496732bcc0a4/charset_normalizer-3.4.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565", size = 144800 }, - { url = "https://files.pythonhosted.org/packages/9a/65/bdb9bc496d7d190d725e96816e20e2ae3a6fa42a5cac99c3c3d6ff884118/charset_normalizer-3.4.0-cp312-cp312-win32.whl", hash = "sha256:5726cf76c982532c1863fb64d8c6dd0e4c90b6ece9feb06c9f202417a31f7dd7", size = 94836 }, - { url = "https://files.pythonhosted.org/packages/3e/67/7b72b69d25b89c0b3cea583ee372c43aa24df15f0e0f8d3982c57804984b/charset_normalizer-3.4.0-cp312-cp312-win_amd64.whl", hash = "sha256:b197e7094f232959f8f20541ead1d9862ac5ebea1d58e9849c1bf979255dfac9", size = 102187 }, - { url = "https://files.pythonhosted.org/packages/f3/89/68a4c86f1a0002810a27f12e9a7b22feb198c59b2f05231349fbce5c06f4/charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:dd4eda173a9fcccb5f2e2bd2a9f423d180194b1bf17cf59e3269899235b2a114", size = 194617 }, - { url = "https://files.pythonhosted.org/packages/4f/cd/8947fe425e2ab0aa57aceb7807af13a0e4162cd21eee42ef5b053447edf5/charset_normalizer-3.4.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9e3c4c9e1ed40ea53acf11e2a386383c3304212c965773704e4603d589343ed", size = 125310 }, - { url = "https://files.pythonhosted.org/packages/5b/f0/b5263e8668a4ee9becc2b451ed909e9c27058337fda5b8c49588183c267a/charset_normalizer-3.4.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92a7e36b000bf022ef3dbb9c46bfe2d52c047d5e3f3343f43204263c5addc250", size = 119126 }, - { url = "https://files.pythonhosted.org/packages/ff/6e/e445afe4f7fda27a533f3234b627b3e515a1b9429bc981c9a5e2aa5d97b6/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54b6a92d009cbe2fb11054ba694bc9e284dad30a26757b1e372a1fdddaf21920", size = 139342 }, - { url = "https://files.pythonhosted.org/packages/a1/b2/4af9993b532d93270538ad4926c8e37dc29f2111c36f9c629840c57cd9b3/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1ffd9493de4c922f2a38c2bf62b831dcec90ac673ed1ca182fe11b4d8e9f2a64", size = 149383 }, - { url = "https://files.pythonhosted.org/packages/fb/6f/4e78c3b97686b871db9be6f31d64e9264e889f8c9d7ab33c771f847f79b7/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:35c404d74c2926d0287fbd63ed5d27eb911eb9e4a3bb2c6d294f3cfd4a9e0c23", size = 142214 }, - { url = "https://files.pythonhosted.org/packages/2b/c9/1c8fe3ce05d30c87eff498592c89015b19fade13df42850aafae09e94f35/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4796efc4faf6b53a18e3d46343535caed491776a22af773f366534056c4e1fbc", size = 144104 }, - { url = "https://files.pythonhosted.org/packages/ee/68/efad5dcb306bf37db7db338338e7bb8ebd8cf38ee5bbd5ceaaaa46f257e6/charset_normalizer-3.4.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7fdd52961feb4c96507aa649550ec2a0d527c086d284749b2f582f2d40a2e0d", size = 146255 }, - { url = "https://files.pythonhosted.org/packages/0c/75/1ed813c3ffd200b1f3e71121c95da3f79e6d2a96120163443b3ad1057505/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:92db3c28b5b2a273346bebb24857fda45601aef6ae1c011c0a997106581e8a88", size = 140251 }, - { url = "https://files.pythonhosted.org/packages/7d/0d/6f32255c1979653b448d3c709583557a4d24ff97ac4f3a5be156b2e6a210/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:ab973df98fc99ab39080bfb0eb3a925181454d7c3ac8a1e695fddfae696d9e90", size = 148474 }, - { url = "https://files.pythonhosted.org/packages/ac/a0/c1b5298de4670d997101fef95b97ac440e8c8d8b4efa5a4d1ef44af82f0d/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:4b67fdab07fdd3c10bb21edab3cbfe8cf5696f453afce75d815d9d7223fbe88b", size = 151849 }, - { url = "https://files.pythonhosted.org/packages/04/4f/b3961ba0c664989ba63e30595a3ed0875d6790ff26671e2aae2fdc28a399/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:aa41e526a5d4a9dfcfbab0716c7e8a1b215abd3f3df5a45cf18a12721d31cb5d", size = 149781 }, - { url = "https://files.pythonhosted.org/packages/d8/90/6af4cd042066a4adad58ae25648a12c09c879efa4849c705719ba1b23d8c/charset_normalizer-3.4.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ffc519621dce0c767e96b9c53f09c5d215578e10b02c285809f76509a3931482", size = 144970 }, - { url = "https://files.pythonhosted.org/packages/cc/67/e5e7e0cbfefc4ca79025238b43cdf8a2037854195b37d6417f3d0895c4c2/charset_normalizer-3.4.0-cp313-cp313-win32.whl", hash = "sha256:f19c1585933c82098c2a520f8ec1227f20e339e33aca8fa6f956f6691b784e67", size = 94973 }, - { url = "https://files.pythonhosted.org/packages/65/97/fc9bbc54ee13d33dc54a7fcf17b26368b18505500fc01e228c27b5222d80/charset_normalizer-3.4.0-cp313-cp313-win_amd64.whl", hash = "sha256:707b82d19e65c9bd28b81dde95249b07bf9f5b90ebe1ef17d9b57473f8a64b7b", size = 102308 }, - { url = "https://files.pythonhosted.org/packages/bf/9b/08c0432272d77b04803958a4598a51e2a4b51c06640af8b8f0f908c18bf2/charset_normalizer-3.4.0-py3-none-any.whl", hash = "sha256:fe9f97feb71aa9896b81973a7bbada8c49501dc73e58a10fcef6663af95e5079", size = 49446 }, + { url = "https://files.pythonhosted.org/packages/0d/58/5580c1716040bc89206c77d8f74418caf82ce519aae06450393ca73475d1/charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de", size = 198013 }, + { url = "https://files.pythonhosted.org/packages/d0/11/00341177ae71c6f5159a08168bcb98c6e6d196d372c94511f9f6c9afe0c6/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176", size = 141285 }, + { url = "https://files.pythonhosted.org/packages/01/09/11d684ea5819e5a8f5100fb0b38cf8d02b514746607934134d31233e02c8/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e218488cd232553829be0664c2292d3af2eeeb94b32bea483cf79ac6a694e037", size = 151449 }, + { url = "https://files.pythonhosted.org/packages/08/06/9f5a12939db324d905dc1f70591ae7d7898d030d7662f0d426e2286f68c9/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:80ed5e856eb7f30115aaf94e4a08114ccc8813e6ed1b5efa74f9f82e8509858f", size = 143892 }, + { url = "https://files.pythonhosted.org/packages/93/62/5e89cdfe04584cb7f4d36003ffa2936681b03ecc0754f8e969c2becb7e24/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b010a7a4fd316c3c484d482922d13044979e78d1861f0e0650423144c616a46a", size = 146123 }, + { url = "https://files.pythonhosted.org/packages/a9/ac/ab729a15c516da2ab70a05f8722ecfccc3f04ed7a18e45c75bbbaa347d61/charset_normalizer-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4532bff1b8421fd0a320463030c7520f56a79c9024a4e88f01c537316019005a", size = 147943 }, + { url = "https://files.pythonhosted.org/packages/03/d2/3f392f23f042615689456e9a274640c1d2e5dd1d52de36ab8f7955f8f050/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d973f03c0cb71c5ed99037b870f2be986c3c05e63622c017ea9816881d2dd247", size = 142063 }, + { url = "https://files.pythonhosted.org/packages/f2/e3/e20aae5e1039a2cd9b08d9205f52142329f887f8cf70da3650326670bddf/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3a3bd0dcd373514dcec91c411ddb9632c0d7d92aed7093b8c3bbb6d69ca74408", size = 150578 }, + { url = "https://files.pythonhosted.org/packages/8d/af/779ad72a4da0aed925e1139d458adc486e61076d7ecdcc09e610ea8678db/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d9c3cdf5390dcd29aa8056d13e8e99526cda0305acc038b96b30352aff5ff2bb", size = 153629 }, + { url = "https://files.pythonhosted.org/packages/c2/b6/7aa450b278e7aa92cf7732140bfd8be21f5f29d5bf334ae987c945276639/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:2bdfe3ac2e1bbe5b59a1a63721eb3b95fc9b6817ae4a46debbb4e11f6232428d", size = 150778 }, + { url = "https://files.pythonhosted.org/packages/39/f4/d9f4f712d0951dcbfd42920d3db81b00dd23b6ab520419626f4023334056/charset_normalizer-3.4.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:eab677309cdb30d047996b36d34caeda1dc91149e4fdca0b1a039b3f79d9a807", size = 146453 }, + { url = "https://files.pythonhosted.org/packages/49/2b/999d0314e4ee0cff3cb83e6bc9aeddd397eeed693edb4facb901eb8fbb69/charset_normalizer-3.4.1-cp310-cp310-win32.whl", hash = "sha256:c0429126cf75e16c4f0ad00ee0eae4242dc652290f940152ca8c75c3a4b6ee8f", size = 95479 }, + { url = "https://files.pythonhosted.org/packages/2d/ce/3cbed41cff67e455a386fb5e5dd8906cdda2ed92fbc6297921f2e4419309/charset_normalizer-3.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:9f0b8b1c6d84c8034a44893aba5e767bf9c7a211e313a9605d9c617d7083829f", size = 102790 }, + { url = "https://files.pythonhosted.org/packages/72/80/41ef5d5a7935d2d3a773e3eaebf0a9350542f2cab4eac59a7a4741fbbbbe/charset_normalizer-3.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8bfa33f4f2672964266e940dd22a195989ba31669bd84629f05fab3ef4e2d125", size = 194995 }, + { url = "https://files.pythonhosted.org/packages/7a/28/0b9fefa7b8b080ec492110af6d88aa3dea91c464b17d53474b6e9ba5d2c5/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28bf57629c75e810b6ae989f03c0828d64d6b26a5e205535585f96093e405ed1", size = 139471 }, + { url = "https://files.pythonhosted.org/packages/71/64/d24ab1a997efb06402e3fc07317e94da358e2585165930d9d59ad45fcae2/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f08ff5e948271dc7e18a35641d2f11a4cd8dfd5634f55228b691e62b37125eb3", size = 149831 }, + { url = "https://files.pythonhosted.org/packages/37/ed/be39e5258e198655240db5e19e0b11379163ad7070962d6b0c87ed2c4d39/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:234ac59ea147c59ee4da87a0c0f098e9c8d169f4dc2a159ef720f1a61bbe27cd", size = 142335 }, + { url = "https://files.pythonhosted.org/packages/88/83/489e9504711fa05d8dde1574996408026bdbdbd938f23be67deebb5eca92/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd4ec41f914fa74ad1b8304bbc634b3de73d2a0889bd32076342a573e0779e00", size = 143862 }, + { url = "https://files.pythonhosted.org/packages/c6/c7/32da20821cf387b759ad24627a9aca289d2822de929b8a41b6241767b461/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eea6ee1db730b3483adf394ea72f808b6e18cf3cb6454b4d86e04fa8c4327a12", size = 145673 }, + { url = "https://files.pythonhosted.org/packages/68/85/f4288e96039abdd5aeb5c546fa20a37b50da71b5cf01e75e87f16cd43304/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c96836c97b1238e9c9e3fe90844c947d5afbf4f4c92762679acfe19927d81d77", size = 140211 }, + { url = "https://files.pythonhosted.org/packages/28/a3/a42e70d03cbdabc18997baf4f0227c73591a08041c149e710045c281f97b/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:4d86f7aff21ee58f26dcf5ae81a9addbd914115cdebcbb2217e4f0ed8982e146", size = 148039 }, + { url = "https://files.pythonhosted.org/packages/85/e4/65699e8ab3014ecbe6f5c71d1a55d810fb716bbfd74f6283d5c2aa87febf/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:09b5e6733cbd160dcc09589227187e242a30a49ca5cefa5a7edd3f9d19ed53fd", size = 151939 }, + { url = "https://files.pythonhosted.org/packages/b1/82/8e9fe624cc5374193de6860aba3ea8070f584c8565ee77c168ec13274bd2/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:5777ee0881f9499ed0f71cc82cf873d9a0ca8af166dfa0af8ec4e675b7df48e6", size = 149075 }, + { url = "https://files.pythonhosted.org/packages/3d/7b/82865ba54c765560c8433f65e8acb9217cb839a9e32b42af4aa8e945870f/charset_normalizer-3.4.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:237bdbe6159cff53b4f24f397d43c6336c6b0b42affbe857970cefbb620911c8", size = 144340 }, + { url = "https://files.pythonhosted.org/packages/b5/b6/9674a4b7d4d99a0d2df9b215da766ee682718f88055751e1e5e753c82db0/charset_normalizer-3.4.1-cp311-cp311-win32.whl", hash = "sha256:8417cb1f36cc0bc7eaba8ccb0e04d55f0ee52df06df3ad55259b9a323555fc8b", size = 95205 }, + { url = "https://files.pythonhosted.org/packages/1e/ab/45b180e175de4402dcf7547e4fb617283bae54ce35c27930a6f35b6bef15/charset_normalizer-3.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:d7f50a1f8c450f3925cb367d011448c39239bb3eb4117c36a6d354794de4ce76", size = 102441 }, + { url = "https://files.pythonhosted.org/packages/0a/9a/dd1e1cdceb841925b7798369a09279bd1cf183cef0f9ddf15a3a6502ee45/charset_normalizer-3.4.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:73d94b58ec7fecbc7366247d3b0b10a21681004153238750bb67bd9012414545", size = 196105 }, + { url = "https://files.pythonhosted.org/packages/d3/8c/90bfabf8c4809ecb648f39794cf2a84ff2e7d2a6cf159fe68d9a26160467/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dad3e487649f498dd991eeb901125411559b22e8d7ab25d3aeb1af367df5efd7", size = 140404 }, + { url = "https://files.pythonhosted.org/packages/ad/8f/e410d57c721945ea3b4f1a04b74f70ce8fa800d393d72899f0a40526401f/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c30197aa96e8eed02200a83fba2657b4c3acd0f0aa4bdc9f6c1af8e8962e0757", size = 150423 }, + { url = "https://files.pythonhosted.org/packages/f0/b8/e6825e25deb691ff98cf5c9072ee0605dc2acfca98af70c2d1b1bc75190d/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2369eea1ee4a7610a860d88f268eb39b95cb588acd7235e02fd5a5601773d4fa", size = 143184 }, + { url = "https://files.pythonhosted.org/packages/3e/a2/513f6cbe752421f16d969e32f3583762bfd583848b763913ddab8d9bfd4f/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc2722592d8998c870fa4e290c2eec2c1569b87fe58618e67d38b4665dfa680d", size = 145268 }, + { url = "https://files.pythonhosted.org/packages/74/94/8a5277664f27c3c438546f3eb53b33f5b19568eb7424736bdc440a88a31f/charset_normalizer-3.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffc9202a29ab3920fa812879e95a9e78b2465fd10be7fcbd042899695d75e616", size = 147601 }, + { url = "https://files.pythonhosted.org/packages/7c/5f/6d352c51ee763623a98e31194823518e09bfa48be2a7e8383cf691bbb3d0/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:804a4d582ba6e5b747c625bf1255e6b1507465494a40a2130978bda7b932c90b", size = 141098 }, + { url = "https://files.pythonhosted.org/packages/78/d4/f5704cb629ba5ab16d1d3d741396aec6dc3ca2b67757c45b0599bb010478/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0f55e69f030f7163dffe9fd0752b32f070566451afe180f99dbeeb81f511ad8d", size = 149520 }, + { url = "https://files.pythonhosted.org/packages/c5/96/64120b1d02b81785f222b976c0fb79a35875457fa9bb40827678e54d1bc8/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c4c3e6da02df6fa1410a7680bd3f63d4f710232d3139089536310d027950696a", size = 152852 }, + { url = "https://files.pythonhosted.org/packages/84/c9/98e3732278a99f47d487fd3468bc60b882920cef29d1fa6ca460a1fdf4e6/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:5df196eb874dae23dcfb968c83d4f8fdccb333330fe1fc278ac5ceeb101003a9", size = 150488 }, + { url = "https://files.pythonhosted.org/packages/13/0e/9c8d4cb99c98c1007cc11eda969ebfe837bbbd0acdb4736d228ccaabcd22/charset_normalizer-3.4.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e358e64305fe12299a08e08978f51fc21fac060dcfcddd95453eabe5b93ed0e1", size = 146192 }, + { url = "https://files.pythonhosted.org/packages/b2/21/2b6b5b860781a0b49427309cb8670785aa543fb2178de875b87b9cc97746/charset_normalizer-3.4.1-cp312-cp312-win32.whl", hash = "sha256:9b23ca7ef998bc739bf6ffc077c2116917eabcc901f88da1b9856b210ef63f35", size = 95550 }, + { url = "https://files.pythonhosted.org/packages/21/5b/1b390b03b1d16c7e382b561c5329f83cc06623916aab983e8ab9239c7d5c/charset_normalizer-3.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:6ff8a4a60c227ad87030d76e99cd1698345d4491638dfa6673027c48b3cd395f", size = 102785 }, + { url = "https://files.pythonhosted.org/packages/38/94/ce8e6f63d18049672c76d07d119304e1e2d7c6098f0841b51c666e9f44a0/charset_normalizer-3.4.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:aabfa34badd18f1da5ec1bc2715cadc8dca465868a4e73a0173466b688f29dda", size = 195698 }, + { url = "https://files.pythonhosted.org/packages/24/2e/dfdd9770664aae179a96561cc6952ff08f9a8cd09a908f259a9dfa063568/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22e14b5d70560b8dd51ec22863f370d1e595ac3d024cb8ad7d308b4cd95f8313", size = 140162 }, + { url = "https://files.pythonhosted.org/packages/24/4e/f646b9093cff8fc86f2d60af2de4dc17c759de9d554f130b140ea4738ca6/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8436c508b408b82d87dc5f62496973a1805cd46727c34440b0d29d8a2f50a6c9", size = 150263 }, + { url = "https://files.pythonhosted.org/packages/5e/67/2937f8d548c3ef6e2f9aab0f6e21001056f692d43282b165e7c56023e6dd/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2d074908e1aecee37a7635990b2c6d504cd4766c7bc9fc86d63f9c09af3fa11b", size = 142966 }, + { url = "https://files.pythonhosted.org/packages/52/ed/b7f4f07de100bdb95c1756d3a4d17b90c1a3c53715c1a476f8738058e0fa/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:955f8851919303c92343d2f66165294848d57e9bba6cf6e3625485a70a038d11", size = 144992 }, + { url = "https://files.pythonhosted.org/packages/96/2c/d49710a6dbcd3776265f4c923bb73ebe83933dfbaa841c5da850fe0fd20b/charset_normalizer-3.4.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:44ecbf16649486d4aebafeaa7ec4c9fed8b88101f4dd612dcaf65d5e815f837f", size = 147162 }, + { url = "https://files.pythonhosted.org/packages/b4/41/35ff1f9a6bd380303dea55e44c4933b4cc3c4850988927d4082ada230273/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:0924e81d3d5e70f8126529951dac65c1010cdf117bb75eb02dd12339b57749dd", size = 140972 }, + { url = "https://files.pythonhosted.org/packages/fb/43/c6a0b685fe6910d08ba971f62cd9c3e862a85770395ba5d9cad4fede33ab/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:2967f74ad52c3b98de4c3b32e1a44e32975e008a9cd2a8cc8966d6a5218c5cb2", size = 149095 }, + { url = "https://files.pythonhosted.org/packages/4c/ff/a9a504662452e2d2878512115638966e75633519ec11f25fca3d2049a94a/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c75cb2a3e389853835e84a2d8fb2b81a10645b503eca9bcb98df6b5a43eb8886", size = 152668 }, + { url = "https://files.pythonhosted.org/packages/6c/71/189996b6d9a4b932564701628af5cee6716733e9165af1d5e1b285c530ed/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:09b26ae6b1abf0d27570633b2b078a2a20419c99d66fb2823173d73f188ce601", size = 150073 }, + { url = "https://files.pythonhosted.org/packages/e4/93/946a86ce20790e11312c87c75ba68d5f6ad2208cfb52b2d6a2c32840d922/charset_normalizer-3.4.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fa88b843d6e211393a37219e6a1c1df99d35e8fd90446f1118f4216e307e48cd", size = 145732 }, + { url = "https://files.pythonhosted.org/packages/cd/e5/131d2fb1b0dddafc37be4f3a2fa79aa4c037368be9423061dccadfd90091/charset_normalizer-3.4.1-cp313-cp313-win32.whl", hash = "sha256:eb8178fe3dba6450a3e024e95ac49ed3400e506fd4e9e5c32d30adda88cbd407", size = 95391 }, + { url = "https://files.pythonhosted.org/packages/27/f2/4f9a69cc7712b9b5ad8fdb87039fd89abba997ad5cbe690d1835d40405b0/charset_normalizer-3.4.1-cp313-cp313-win_amd64.whl", hash = "sha256:b1ac5992a838106edb89654e0aebfc24f5848ae2547d22c2c3f66454daa11971", size = 102702 }, + { url = "https://files.pythonhosted.org/packages/0e/f6/65ecc6878a89bb1c23a086ea335ad4bf21a588990c3f535a227b9eea9108/charset_normalizer-3.4.1-py3-none-any.whl", hash = "sha256:d98b1668f06378c6dbefec3b92299716b931cd4e6061f3c875a71ced1780ab85", size = 49767 }, ] [[package]] name = "click" -version = "8.1.7" +version = "8.1.8" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "colorama", marker = "platform_system == 'Windows'" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 } +sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 } wheels = [ - { url = "https://files.pythonhosted.org/packages/00/2e/d53fa4befbf2cfa713304affc7ca780ce4fc1fd8710527771b58311a3229/click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28", size = 97941 }, + { url = "https://files.pythonhosted.org/packages/7e/d4/7ebdbd03970677812aac39c869717059dbb71a4cfc033ca6e5221787892c/click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2", size = 98188 }, ] [[package]] name = "cognee" -version = "0.1.21" +version = "0.1.22" source = { directory = "../" } dependencies = [ { name = "aiofiles" }, @@ -632,14 +536,15 @@ requires-dist = [ { name = "deepeval", marker = "extra == 'deepeval'", specifier = ">=2.0.1,<3.0.0" }, { name = "dlt", extras = ["sqlalchemy"], specifier = ">=1.4.1,<2.0.0" }, { name = "falkordb", marker = "extra == 'falkordb'", specifier = "==1.0.9" }, - { name = "fastapi", specifier = ">=0.109.2,<0.116.0" }, - { name = "fastapi-users", extras = ["sqlalchemy"] }, + { name = "fastapi", specifier = "==0.115.7" }, + { name = "fastapi-users", extras = ["sqlalchemy"], specifier = "==14.0.0" }, { name = "filetype", specifier = ">=1.2.0,<2.0.0" }, { name = "graphistry", specifier = ">=0.33.5,<0.34.0" }, { name = "groq", marker = "extra == 'groq'", specifier = "==0.8.0" }, { name = "gunicorn", specifier = ">=20.1.0,<21.0.0" }, { name = "httpx", specifier = "==0.27.0" }, { name = "instructor", specifier = "==1.7.2" }, + { name = "jedi", marker = "extra == 'codegraph'", specifier = ">=0.19.2,<0.20.0" }, { name = "jinja2", specifier = ">=3.1.3,<4.0.0" }, { name = "lancedb", specifier = "==0.16.0" }, { name = "langchain-text-splitters", marker = "extra == 'langchain'", specifier = "==0.3.2" }, @@ -647,20 +552,21 @@ requires-dist = [ { name = "langfuse", specifier = ">=2.32.0,<3.0.0" }, { name = "langsmith", marker = "extra == 'langchain'", specifier = "==0.2.3" }, { name = "litellm", specifier = "==1.57.2" }, - { name = "llama-index-core", marker = "extra == 'llama-index'", specifier = ">=0.12.10.post1,<0.13.0" }, + { name = "llama-index-core", marker = "extra == 'llama-index'", specifier = ">=0.12.11,<0.13.0" }, { name = "matplotlib", specifier = ">=3.8.3,<4.0.0" }, { name = "neo4j", marker = "extra == 'neo4j'", specifier = ">=5.20.0,<6.0.0" }, { name = "nest-asyncio", specifier = "==1.6.0" }, { name = "networkx", specifier = ">=3.2.1,<4.0.0" }, - { name = "nltk", specifier = ">=3.8.1,<4.0.0" }, + { name = "nltk", specifier = "==3.9.1" }, { name = "numpy", specifier = "==1.26.4" }, { name = "openai", specifier = "==1.59.4" }, { name = "pandas", specifier = "==2.2.3" }, + { name = "parso", marker = "extra == 'codegraph'", specifier = ">=0.8.4,<0.9.0" }, { name = "pgvector", marker = "extra == 'postgres'", specifier = ">=0.3.5,<0.4.0" }, { name = "posthog", marker = "extra == 'posthog'", specifier = ">=3.5.0,<4.0.0" }, { name = "pre-commit", specifier = ">=4.0.1,<5.0.0" }, { name = "psycopg2", marker = "extra == 'postgres'", specifier = ">=2.9.10,<3.0.0" }, - { name = "pydantic", specifier = "==2.8.2" }, + { name = "pydantic", specifier = "==2.10.5" }, { name = "pydantic-settings", specifier = ">=2.2.1,<3.0.0" }, { name = "pymilvus", marker = "extra == 'milvus'", specifier = ">=2.5.0,<3.0.0" }, { name = "pypdf", specifier = ">=4.1.0,<5.0.0" }, @@ -674,8 +580,8 @@ requires-dist = [ { name = "tiktoken", specifier = "==0.7.0" }, { name = "transformers", specifier = ">=4.46.3,<5.0.0" }, { name = "typing-extensions", specifier = "==4.12.2" }, - { name = "unstructured", extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], marker = "extra == 'docs'", specifier = ">=0.16.10,<0.17.0" }, - { name = "uvicorn", specifier = "==0.22.0" }, + { name = "unstructured", extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], marker = "extra == 'docs'", specifier = ">=0.16.13,<0.17.0" }, + { name = "uvicorn", specifier = "==0.34.0" }, { name = "weaviate-client", marker = "extra == 'weaviate'", specifier = "==4.9.6" }, ] @@ -684,154 +590,16 @@ name = "cognee-mcp" version = "0.1.0" source = { editable = "." } dependencies = [ - { name = "aiofiles" }, - { name = "aiohttp" }, - { name = "aiosqlite" }, - { name = "alembic" }, - { name = "anthropic" }, - { name = "asyncpg" }, - { name = "boto3" }, - { name = "botocore" }, { name = "cognee" }, - { name = "coverage" }, - { name = "datasets" }, - { name = "debugpy" }, - { name = "deepeval" }, - { name = "deptry" }, - { name = "dlt", extra = ["sqlalchemy"] }, - { name = "falkordb" }, - { name = "fastapi" }, - { name = "fastapi-users", extra = ["sqlalchemy"] }, - { name = "filetype" }, - { name = "gitpython" }, - { name = "graphistry" }, - { name = "groq" }, - { name = "gunicorn" }, - { name = "instructor" }, - { name = "jinja2" }, - { name = "lancedb" }, - { name = "langchain-text-splitters" }, - { name = "langdetect" }, - { name = "langfuse" }, - { name = "langsmith" }, - { name = "litellm" }, - { name = "llama-index-core" }, - { name = "matplotlib" }, { name = "mcp" }, - { name = "mypy" }, - { name = "neo4j" }, - { name = "nest-asyncio" }, - { name = "networkx" }, - { name = "nltk" }, - { name = "numpy" }, - { name = "openai" }, - { name = "pandas" }, - { name = "pgvector" }, - { name = "posthog" }, - { name = "psycopg2" }, - { name = "pydantic" }, - { name = "pydantic-settings" }, - { name = "pylint" }, - { name = "pymilvus" }, - { name = "pypdf" }, - { name = "pytest" }, - { name = "pytest-asyncio" }, - { name = "python-dotenv" }, - { name = "qdrant-client" }, - { name = "requests" }, - { name = "ruff" }, - { name = "scikit-learn" }, - { name = "sentry-sdk", extra = ["fastapi"] }, - { name = "sqlalchemy" }, - { name = "tenacity" }, - { name = "tiktoken" }, - { name = "transformers" }, - { name = "tweepy" }, - { name = "typing-extensions" }, - { name = "unstructured", extra = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"] }, - { name = "uvicorn" }, - { name = "weaviate-client" }, -] - -[package.dev-dependencies] -dev = [ - { name = "cognee" }, ] [package.metadata] requires-dist = [ - { name = "aiofiles", specifier = ">=23.2.1,<24.0.0" }, - { name = "aiohttp", specifier = "==3.10.10" }, - { name = "aiosqlite", specifier = ">=0.20.0,<0.21.0" }, - { name = "alembic", specifier = ">=1.13.3,<2.0.0" }, - { name = "anthropic", specifier = ">=0.26.1,<1.0.0" }, - { name = "asyncpg", specifier = "==0.30.0" }, - { name = "boto3", specifier = ">=1.26.125,<2.0.0" }, - { name = "botocore", specifier = ">=1.35.54,<2.0.0" }, { name = "cognee", directory = "../" }, - { name = "coverage", specifier = ">=7.3.2,<8.0.0" }, - { name = "datasets", specifier = "==3.1.0" }, - { name = "debugpy", specifier = "==1.8.2" }, - { name = "deepeval", specifier = ">=2.0.1,<3.0.0" }, - { name = "deptry", specifier = ">=0.20.0,<0.21.0" }, - { name = "dlt", extras = ["sqlalchemy"], specifier = ">=1.4.1,<2.0.0" }, - { name = "falkordb", specifier = "==1.0.9" }, - { name = "fastapi", specifier = ">=0.109.2,<0.110.0" }, - { name = "fastapi-users", extras = ["sqlalchemy"] }, - { name = "filetype", specifier = ">=1.2.0,<2.0.0" }, - { name = "gitpython", specifier = ">=3.1.43,<4.0.0" }, - { name = "graphistry", specifier = ">=0.33.5,<0.34.0" }, - { name = "groq", specifier = "==0.8.0" }, - { name = "gunicorn", specifier = ">=20.1.0,<21.0.0" }, - { name = "instructor", specifier = "==1.7.2" }, - { name = "jinja2", specifier = ">=3.1.3,<4.0.0" }, - { name = "lancedb", specifier = "==0.16.0" }, - { name = "langchain-text-splitters", specifier = "==0.3.2" }, - { name = "langdetect", specifier = "==1.0.9" }, - { name = "langfuse", specifier = ">=2.32.0,<3.0.0" }, - { name = "langsmith", specifier = "==0.1.139" }, - { name = "litellm", specifier = "==1.57.2" }, - { name = "llama-index-core", specifier = ">=0.12.0" }, - { name = "matplotlib", specifier = ">=3.8.3,<4.0.0" }, - { name = "mcp", specifier = ">=1.1.1" }, - { name = "mypy", specifier = ">=1.7.1,<2.0.0" }, - { name = "neo4j", specifier = ">=5.20.0,<6.0.0" }, - { name = "nest-asyncio", specifier = "==1.6.0" }, - { name = "networkx", specifier = ">=3.2.1,<4.0.0" }, - { name = "nltk", specifier = ">=3.8.1,<4.0.0" }, - { name = "numpy", specifier = "==1.26.4" }, - { name = "openai", specifier = "==1.59.4" }, - { name = "pandas", specifier = "==2.2.3" }, - { name = "pgvector", specifier = ">=0.3.5,<0.4.0" }, - { name = "posthog", specifier = ">=3.5.0,<4.0.0" }, - { name = "psycopg2", specifier = ">=2.9.10,<3.0.0" }, - { name = "pydantic", specifier = "==2.8.2" }, - { name = "pydantic-settings", specifier = ">=2.2.1,<3.0.0" }, - { name = "pylint", specifier = ">=3.0.3,<4.0.0" }, - { name = "pymilvus", specifier = ">=2.5.0,<3.0.0" }, - { name = "pypdf", specifier = ">=4.1.0,<5.0.0" }, - { name = "pytest", specifier = ">=7.4.0,<8.0.0" }, - { name = "pytest-asyncio", specifier = ">=0.21.1,<0.22.0" }, - { name = "python-dotenv", specifier = "==1.0.1" }, - { name = "qdrant-client", specifier = ">=1.9.0,<2.0.0" }, - { name = "requests", specifier = "==2.32.3" }, - { name = "ruff", specifier = ">=0.2.2,<0.3.0" }, - { name = "scikit-learn", specifier = ">=1.5.0,<2.0.0" }, - { name = "sentry-sdk", extras = ["fastapi"], specifier = ">=2.9.0,<3.0.0" }, - { name = "sqlalchemy", specifier = "==2.0.36" }, - { name = "tenacity", specifier = ">=9.0.0" }, - { name = "tiktoken", specifier = "==0.7.0" }, - { name = "transformers", specifier = ">=4.46.3,<5.0.0" }, - { name = "tweepy", specifier = "==4.14.0" }, - { name = "typing-extensions", specifier = "==4.12.2" }, - { name = "unstructured", extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], specifier = ">=0.16.10,<1.0.0" }, - { name = "uvicorn", specifier = "==0.22.0" }, - { name = "weaviate-client", specifier = "==4.6.7" }, + { name = "mcp", specifier = "==1.2.0" }, ] -[package.metadata.requires-dev] -dev = [{ name = "cognee", directory = "../" }] - [[package]] name = "colorama" version = "0.4.6" @@ -905,65 +673,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/52/94/86bfae441707205634d80392e873295652fc313dfd93c233c52c4dc07874/contourpy-1.3.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:44a29502ca9c7b5ba389e620d44f2fbe792b1fb5734e8b931ad307071ec58c53", size = 218221 }, ] -[[package]] -name = "coverage" -version = "7.6.9" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5b/d2/c25011f4d036cf7e8acbbee07a8e09e9018390aee25ba085596c4b83d510/coverage-7.6.9.tar.gz", hash = "sha256:4a8d8977b0c6ef5aeadcb644da9e69ae0dcfe66ec7f368c89c72e058bd71164d", size = 801710 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/49/f3/f830fb53bf7e4f1d5542756f61d9b740352a188f43854aab9409c8cdeb18/coverage-7.6.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85d9636f72e8991a1706b2b55b06c27545448baf9f6dbf51c4004609aacd7dcb", size = 207024 }, - { url = "https://files.pythonhosted.org/packages/4e/e3/ea5632a3a6efd00ab0a791adc0f3e48512097a757ee7dcbee5505f57bafa/coverage-7.6.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:608a7fd78c67bee8936378299a6cb9f5149bb80238c7a566fc3e6717a4e68710", size = 207463 }, - { url = "https://files.pythonhosted.org/packages/e4/ae/18ff8b5580e27e62ebcc888082aa47694c2772782ea7011ddf58e377e98f/coverage-7.6.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:96d636c77af18b5cb664ddf12dab9b15a0cfe9c0bde715da38698c8cea748bfa", size = 235902 }, - { url = "https://files.pythonhosted.org/packages/6a/52/57030a8d15ab935624d298360f0a6704885578e39f7b4f68569e59f5902d/coverage-7.6.9-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d75cded8a3cff93da9edc31446872d2997e327921d8eed86641efafd350e1df1", size = 233806 }, - { url = "https://files.pythonhosted.org/packages/d0/c5/4466602195ecaced298d55af1e29abceb812addabefd5bd9116a204f7bab/coverage-7.6.9-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7b15f589593110ae767ce997775d645b47e5cbbf54fd322f8ebea6277466cec", size = 234966 }, - { url = "https://files.pythonhosted.org/packages/b0/1c/55552c3009b7bf96732e36548596ade771c87f89cf1f5a8e3975b33539b5/coverage-7.6.9-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:44349150f6811b44b25574839b39ae35291f6496eb795b7366fef3bd3cf112d3", size = 234029 }, - { url = "https://files.pythonhosted.org/packages/bb/7d/da3dca6878701182ea42c51df47a47c80eaef2a76f5aa3e891dc2a8cce3f/coverage-7.6.9-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:d891c136b5b310d0e702e186d70cd16d1119ea8927347045124cb286b29297e5", size = 232494 }, - { url = "https://files.pythonhosted.org/packages/28/cc/39de85ac1d5652bc34ff2bee39ae251b1fdcaae53fab4b44cab75a432bc0/coverage-7.6.9-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:db1dab894cc139f67822a92910466531de5ea6034ddfd2b11c0d4c6257168073", size = 233611 }, - { url = "https://files.pythonhosted.org/packages/d1/2b/7eb011a9378911088708f121825a71134d0c15fac96972a0ae7a8f5a4049/coverage-7.6.9-cp310-cp310-win32.whl", hash = "sha256:41ff7b0da5af71a51b53f501a3bac65fb0ec311ebed1632e58fc6107f03b9198", size = 209712 }, - { url = "https://files.pythonhosted.org/packages/5b/35/c3f40a2269b416db34ce1dedf682a7132c26f857e33596830fa4deebabf9/coverage-7.6.9-cp310-cp310-win_amd64.whl", hash = "sha256:35371f8438028fdccfaf3570b31d98e8d9eda8bb1d6ab9473f5a390969e98717", size = 210553 }, - { url = "https://files.pythonhosted.org/packages/b1/91/b3dc2f7f38b5cca1236ab6bbb03e84046dd887707b4ec1db2baa47493b3b/coverage-7.6.9-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:932fc826442132dde42ee52cf66d941f581c685a6313feebed358411238f60f9", size = 207133 }, - { url = "https://files.pythonhosted.org/packages/0d/2b/53fd6cb34d443429a92b3ec737f4953627e38b3bee2a67a3c03425ba8573/coverage-7.6.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:085161be5f3b30fd9b3e7b9a8c301f935c8313dcf928a07b116324abea2c1c2c", size = 207577 }, - { url = "https://files.pythonhosted.org/packages/74/f2/68edb1e6826f980a124f21ea5be0d324180bf11de6fd1defcf9604f76df0/coverage-7.6.9-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ccc660a77e1c2bf24ddbce969af9447a9474790160cfb23de6be4fa88e3951c7", size = 239524 }, - { url = "https://files.pythonhosted.org/packages/d3/83/8fec0ee68c2c4a5ab5f0f8527277f84ed6f2bd1310ae8a19d0c5532253ab/coverage-7.6.9-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c69e42c892c018cd3c8d90da61d845f50a8243062b19d228189b0224150018a9", size = 236925 }, - { url = "https://files.pythonhosted.org/packages/8b/20/8f50e7c7ad271144afbc2c1c6ec5541a8c81773f59352f8db544cad1a0ec/coverage-7.6.9-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0824a28ec542a0be22f60c6ac36d679e0e262e5353203bea81d44ee81fe9c6d4", size = 238792 }, - { url = "https://files.pythonhosted.org/packages/6f/62/4ac2e5ad9e7a5c9ec351f38947528e11541f1f00e8a0cdce56f1ba7ae301/coverage-7.6.9-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:4401ae5fc52ad8d26d2a5d8a7428b0f0c72431683f8e63e42e70606374c311a1", size = 237682 }, - { url = "https://files.pythonhosted.org/packages/58/2f/9d2203f012f3b0533c73336c74134b608742be1ce475a5c72012573cfbb4/coverage-7.6.9-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:98caba4476a6c8d59ec1eb00c7dd862ba9beca34085642d46ed503cc2d440d4b", size = 236310 }, - { url = "https://files.pythonhosted.org/packages/33/6d/31f6ab0b4f0f781636075f757eb02141ea1b34466d9d1526dbc586ed7078/coverage-7.6.9-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ee5defd1733fd6ec08b168bd4f5387d5b322f45ca9e0e6c817ea6c4cd36313e3", size = 237096 }, - { url = "https://files.pythonhosted.org/packages/7d/fb/e14c38adebbda9ed8b5f7f8e03340ac05d68d27b24397f8d47478927a333/coverage-7.6.9-cp311-cp311-win32.whl", hash = "sha256:f2d1ec60d6d256bdf298cb86b78dd715980828f50c46701abc3b0a2b3f8a0dc0", size = 209682 }, - { url = "https://files.pythonhosted.org/packages/a4/11/a782af39b019066af83fdc0e8825faaccbe9d7b19a803ddb753114b429cc/coverage-7.6.9-cp311-cp311-win_amd64.whl", hash = "sha256:0d59fd927b1f04de57a2ba0137166d31c1a6dd9e764ad4af552912d70428c92b", size = 210542 }, - { url = "https://files.pythonhosted.org/packages/60/52/b16af8989a2daf0f80a88522bd8e8eed90b5fcbdecf02a6888f3e80f6ba7/coverage-7.6.9-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:99e266ae0b5d15f1ca8d278a668df6f51cc4b854513daab5cae695ed7b721cf8", size = 207325 }, - { url = "https://files.pythonhosted.org/packages/0f/79/6b7826fca8846c1216a113227b9f114ac3e6eacf168b4adcad0cb974aaca/coverage-7.6.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9901d36492009a0a9b94b20e52ebfc8453bf49bb2b27bca2c9706f8b4f5a554a", size = 207563 }, - { url = "https://files.pythonhosted.org/packages/a7/07/0bc73da0ccaf45d0d64ef86d33b7d7fdeef84b4c44bf6b85fb12c215c5a6/coverage-7.6.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:abd3e72dd5b97e3af4246cdada7738ef0e608168de952b837b8dd7e90341f015", size = 240580 }, - { url = "https://files.pythonhosted.org/packages/71/8a/9761f409910961647d892454687cedbaccb99aae828f49486734a82ede6e/coverage-7.6.9-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ff74026a461eb0660366fb01c650c1d00f833a086b336bdad7ab00cc952072b3", size = 237613 }, - { url = "https://files.pythonhosted.org/packages/8b/10/ee7d696a17ac94f32f2dbda1e17e730bf798ae9931aec1fc01c1944cd4de/coverage-7.6.9-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65dad5a248823a4996724a88eb51d4b31587aa7aa428562dbe459c684e5787ae", size = 239684 }, - { url = "https://files.pythonhosted.org/packages/16/60/aa1066040d3c52fff051243c2d6ccda264da72dc6d199d047624d395b2b2/coverage-7.6.9-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:22be16571504c9ccea919fcedb459d5ab20d41172056206eb2994e2ff06118a4", size = 239112 }, - { url = "https://files.pythonhosted.org/packages/4e/e5/69f35344c6f932ba9028bf168d14a79fedb0dd4849b796d43c81ce75a3c9/coverage-7.6.9-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0f957943bc718b87144ecaee70762bc2bc3f1a7a53c7b861103546d3a403f0a6", size = 237428 }, - { url = "https://files.pythonhosted.org/packages/32/20/adc895523c4a28f63441b8ac645abd74f9bdd499d2d175bef5b41fc7f92d/coverage-7.6.9-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:0ae1387db4aecb1f485fb70a6c0148c6cdaebb6038f1d40089b1fc84a5db556f", size = 239098 }, - { url = "https://files.pythonhosted.org/packages/a9/a6/e0e74230c9bb3549ec8ffc137cfd16ea5d56e993d6bffed2218bff6187e3/coverage-7.6.9-cp312-cp312-win32.whl", hash = "sha256:1a330812d9cc7ac2182586f6d41b4d0fadf9be9049f350e0efb275c8ee8eb692", size = 209940 }, - { url = "https://files.pythonhosted.org/packages/3e/18/cb5b88349d4aa2f41ec78d65f92ea32572b30b3f55bc2b70e87578b8f434/coverage-7.6.9-cp312-cp312-win_amd64.whl", hash = "sha256:b12c6b18269ca471eedd41c1b6a1065b2f7827508edb9a7ed5555e9a56dcfc97", size = 210726 }, - { url = "https://files.pythonhosted.org/packages/35/26/9abab6539d2191dbda2ce8c97b67d74cbfc966cc5b25abb880ffc7c459bc/coverage-7.6.9-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:899b8cd4781c400454f2f64f7776a5d87bbd7b3e7f7bda0cb18f857bb1334664", size = 207356 }, - { url = "https://files.pythonhosted.org/packages/44/da/d49f19402240c93453f606e660a6676a2a1fbbaa6870cc23207790aa9697/coverage-7.6.9-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:61f70dc68bd36810972e55bbbe83674ea073dd1dcc121040a08cdf3416c5349c", size = 207614 }, - { url = "https://files.pythonhosted.org/packages/da/e6/93bb9bf85497816082ec8da6124c25efa2052bd4c887dd3b317b91990c9e/coverage-7.6.9-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a289d23d4c46f1a82d5db4abeb40b9b5be91731ee19a379d15790e53031c014", size = 240129 }, - { url = "https://files.pythonhosted.org/packages/df/65/6a824b9406fe066835c1274a9949e06f084d3e605eb1a602727a27ec2fe3/coverage-7.6.9-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7e216d8044a356fc0337c7a2a0536d6de07888d7bcda76febcb8adc50bdbbd00", size = 237276 }, - { url = "https://files.pythonhosted.org/packages/9f/79/6c7a800913a9dd23ac8c8da133ebb556771a5a3d4df36b46767b1baffd35/coverage-7.6.9-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c026eb44f744acaa2bda7493dad903aa5bf5fc4f2554293a798d5606710055d", size = 239267 }, - { url = "https://files.pythonhosted.org/packages/57/e7/834d530293fdc8a63ba8ff70033d5182022e569eceb9aec7fc716b678a39/coverage-7.6.9-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e77363e8425325384f9d49272c54045bbed2f478e9dd698dbc65dbc37860eb0a", size = 238887 }, - { url = "https://files.pythonhosted.org/packages/15/05/ec9d6080852984f7163c96984444e7cd98b338fd045b191064f943ee1c08/coverage-7.6.9-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:777abfab476cf83b5177b84d7486497e034eb9eaea0d746ce0c1268c71652077", size = 236970 }, - { url = "https://files.pythonhosted.org/packages/0a/d8/775937670b93156aec29f694ce37f56214ed7597e1a75b4083ee4c32121c/coverage-7.6.9-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:447af20e25fdbe16f26e84eb714ba21d98868705cb138252d28bc400381f6ffb", size = 238831 }, - { url = "https://files.pythonhosted.org/packages/f4/58/88551cb7fdd5ec98cb6044e8814e38583436b14040a5ece15349c44c8f7c/coverage-7.6.9-cp313-cp313-win32.whl", hash = "sha256:d872ec5aeb086cbea771c573600d47944eea2dcba8be5f3ee649bfe3cb8dc9ba", size = 210000 }, - { url = "https://files.pythonhosted.org/packages/b7/12/cfbf49b95120872785ff8d56ab1c7fe3970a65e35010c311d7dd35c5fd00/coverage-7.6.9-cp313-cp313-win_amd64.whl", hash = "sha256:fd1213c86e48dfdc5a0cc676551db467495a95a662d2396ecd58e719191446e1", size = 210753 }, - { url = "https://files.pythonhosted.org/packages/7c/68/c1cb31445599b04bde21cbbaa6d21b47c5823cdfef99eae470dfce49c35a/coverage-7.6.9-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:ba9e7484d286cd5a43744e5f47b0b3fb457865baf07bafc6bee91896364e1419", size = 208091 }, - { url = "https://files.pythonhosted.org/packages/11/73/84b02c6b19c4a11eb2d5b5eabe926fb26c21c080e0852f5e5a4f01165f9e/coverage-7.6.9-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e5ea1cf0872ee455c03e5674b5bca5e3e68e159379c1af0903e89f5eba9ccc3a", size = 208369 }, - { url = "https://files.pythonhosted.org/packages/de/e0/ae5d878b72ff26df2e994a5c5b1c1f6a7507d976b23beecb1ed4c85411ef/coverage-7.6.9-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d10e07aa2b91835d6abec555ec8b2733347956991901eea6ffac295f83a30e4", size = 251089 }, - { url = "https://files.pythonhosted.org/packages/ab/9c/0aaac011aef95a93ef3cb2fba3fde30bc7e68a6635199ed469b1f5ea355a/coverage-7.6.9-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:13a9e2d3ee855db3dd6ea1ba5203316a1b1fd8eaeffc37c5b54987e61e4194ae", size = 246806 }, - { url = "https://files.pythonhosted.org/packages/f8/19/4d5d3ae66938a7dcb2f58cef3fa5386f838f469575b0bb568c8cc9e3a33d/coverage-7.6.9-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c38bf15a40ccf5619fa2fe8f26106c7e8e080d7760aeccb3722664c8656b030", size = 249164 }, - { url = "https://files.pythonhosted.org/packages/b3/0b/4ee8a7821f682af9ad440ae3c1e379da89a998883271f088102d7ca2473d/coverage-7.6.9-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:d5275455b3e4627c8e7154feaf7ee0743c2e7af82f6e3b561967b1cca755a0be", size = 248642 }, - { url = "https://files.pythonhosted.org/packages/8a/12/36ff1d52be18a16b4700f561852e7afd8df56363a5edcfb04cf26a0e19e0/coverage-7.6.9-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:8f8770dfc6e2c6a2d4569f411015c8d751c980d17a14b0530da2d7f27ffdd88e", size = 246516 }, - { url = "https://files.pythonhosted.org/packages/43/d0/8e258f6c3a527c1655602f4f576215e055ac704de2d101710a71a2affac2/coverage-7.6.9-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:8d2dfa71665a29b153a9681edb1c8d9c1ea50dfc2375fb4dac99ea7e21a0bcd9", size = 247783 }, - { url = "https://files.pythonhosted.org/packages/a9/0d/1e4a48d289429d38aae3babdfcadbf35ca36bdcf3efc8f09b550a845bdb5/coverage-7.6.9-cp313-cp313t-win32.whl", hash = "sha256:5e6b86b5847a016d0fbd31ffe1001b63355ed309651851295315031ea7eb5a9b", size = 210646 }, - { url = "https://files.pythonhosted.org/packages/26/74/b0729f196f328ac55e42b1e22ec2f16d8bcafe4b8158a26ec9f1cdd1d93e/coverage-7.6.9-cp313-cp313t-win_amd64.whl", hash = "sha256:97ddc94d46088304772d21b060041c97fc16bdda13c6c7f9d8fcd8d5ae0d8611", size = 211815 }, - { url = "https://files.pythonhosted.org/packages/15/0e/4ac9035ee2ee08d2b703fdad2d84283ec0bad3b46eb4ad6affb150174cb6/coverage-7.6.9-pp39.pp310-none-any.whl", hash = "sha256:f3ca78518bc6bc92828cd11867b121891d75cae4ea9e908d72030609b996db1b", size = 199270 }, -] - [[package]] name = "cryptography" version = "44.0.0" @@ -1010,19 +719,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321 }, ] -[[package]] -name = "dataclasses-json" -version = "0.6.7" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "marshmallow" }, - { name = "typing-inspect" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/64/a4/f71d9cf3a5ac257c993b5ca3f93df5f7fb395c725e7f1e6479d2514173c3/dataclasses_json-0.6.7.tar.gz", hash = "sha256:b6b3e528266ea45b9535223bc53ca645f5208833c29229e847b3f26a1cc55fc0", size = 32227 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/c3/be/d0d44e092656fe7a06b55e6103cbce807cdbdee17884a5367c68c9860853/dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a", size = 28686 }, -] - [[package]] name = "datasets" version = "3.1.0" @@ -1048,86 +744,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ed/a5/33cf000137545a08b0a3a6ea76c8ccbd87917f78bb5d737f9f56f3b11ef6/datasets-3.1.0-py3-none-any.whl", hash = "sha256:dc8808a6d17838fe05e13b39aa7ac3ea0fd0806ed7004eaf4d4eb2c2a356bc61", size = 480554 }, ] -[[package]] -name = "debugpy" -version = "1.8.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b2/c9/9d585d711cdcae0db7788731b331dab0d1f600d0204e76b2a5c6b30d569e/debugpy-1.8.2.zip", hash = "sha256:95378ed08ed2089221896b9b3a8d021e642c24edc8fef20e5d4342ca8be65c00", size = 4614001 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/39/8d/8cc1d0a074f81bef909874353843770c68ab164e94b7d49b8182d2a147df/debugpy-1.8.2-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:7ee2e1afbf44b138c005e4380097d92532e1001580853a7cb40ed84e0ef1c3d2", size = 1713804 }, - { url = "https://files.pythonhosted.org/packages/17/4c/35395eaf9d600175fc974f4d14f7f81128fe8f65789092539b41056a9b6b/debugpy-1.8.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f8c3f7c53130a070f0fc845a0f2cee8ed88d220d6b04595897b66605df1edd6", size = 2998800 }, - { url = "https://files.pythonhosted.org/packages/dd/05/9f6f833a48c4e49eb181f6d5264329f40988c8c463c0ecc61fbc0f9e2107/debugpy-1.8.2-cp310-cp310-win32.whl", hash = "sha256:f179af1e1bd4c88b0b9f0fa153569b24f6b6f3de33f94703336363ae62f4bf47", size = 4766562 }, - { url = "https://files.pythonhosted.org/packages/1c/1a/7e86850fe9ed6e7e42241f6fbacaf45ebb049fa3130f10d72b0cb663fd96/debugpy-1.8.2-cp310-cp310-win_amd64.whl", hash = "sha256:0600faef1d0b8d0e85c816b8bb0cb90ed94fc611f308d5fde28cb8b3d2ff0fe3", size = 4790128 }, - { url = "https://files.pythonhosted.org/packages/2b/ba/d06289b7c6194117fcecc88c24dee405b1c14b8e318e7bdf513eb78c3278/debugpy-1.8.2-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:8a13417ccd5978a642e91fb79b871baded925d4fadd4dfafec1928196292aa0a", size = 1789191 }, - { url = "https://files.pythonhosted.org/packages/4f/d6/04ae52227ab7c1d43b729d5ae75ebd592df56c55d4e4dfa30ba173096b0f/debugpy-1.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:acdf39855f65c48ac9667b2801234fc64d46778021efac2de7e50907ab90c634", size = 2643243 }, - { url = "https://files.pythonhosted.org/packages/49/cd/207d629509949568603008c8cf90cd0a949d1a9d1900936010854732ab93/debugpy-1.8.2-cp311-cp311-win32.whl", hash = "sha256:2cbd4d9a2fc5e7f583ff9bf11f3b7d78dfda8401e8bb6856ad1ed190be4281ad", size = 4703962 }, - { url = "https://files.pythonhosted.org/packages/23/b1/3fc28ba2921234e3fad4a421dcb3185c38066eab0f92702c0d88ce891381/debugpy-1.8.2-cp311-cp311-win_amd64.whl", hash = "sha256:d3408fddd76414034c02880e891ea434e9a9cf3a69842098ef92f6e809d09afa", size = 4717479 }, - { url = "https://files.pythonhosted.org/packages/8c/6d/116a2dbcd13402be7eb58c07ba52a4052bf71011670a5ca1218b0dc6aa60/debugpy-1.8.2-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:5d3ccd39e4021f2eb86b8d748a96c766058b39443c1f18b2dc52c10ac2757835", size = 1437574 }, - { url = "https://files.pythonhosted.org/packages/18/5d/bebfd65d9abc30c253b27c1c26e9be01dba6028a2140684725ef40e711ad/debugpy-1.8.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62658aefe289598680193ff655ff3940e2a601765259b123dc7f89c0239b8cd3", size = 1438633 }, - { url = "https://files.pythonhosted.org/packages/0e/9b/f031cea19da5bf660e273bb2482af401f3ce940ea6520fa1756144c828bf/debugpy-1.8.2-cp312-cp312-win32.whl", hash = "sha256:bd11fe35d6fd3431f1546d94121322c0ac572e1bfb1f6be0e9b8655fb4ea941e", size = 4583082 }, - { url = "https://files.pythonhosted.org/packages/6d/a5/41abca2ed34bca22a4b3f64c4e6150cbedd254274de47775aa4d450b51e1/debugpy-1.8.2-cp312-cp312-win_amd64.whl", hash = "sha256:15bc2f4b0f5e99bf86c162c91a74c0631dbd9cef3c6a1d1329c946586255e859", size = 4583077 }, - { url = "https://files.pythonhosted.org/packages/b4/32/dd0707c8557f99496811763c5333ea87bcec1eb233c1efa324c9a8082bff/debugpy-1.8.2-py2.py3-none-any.whl", hash = "sha256:16e16df3a98a35c63c3ab1e4d19be4cbc7fdda92d9ddc059294f18910928e0ca", size = 4826112 }, -] - -[[package]] -name = "deepdiff" -version = "8.1.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "orderly-set" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/50/4b/ce2d3a36f77186d7dbca0f10b33e6a1c0eee390d9434960d2a14e2736b52/deepdiff-8.1.1.tar.gz", hash = "sha256:dd7bc7d5c8b51b5b90f01b0e2fe23c801fd8b4c6a7ee7e31c5a3c3663fcc7ceb", size = 433560 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/66/f7/2df72b55635926872b947203aacbe7e1109a51929aec8ebfef8c4a348eb5/deepdiff-8.1.1-py3-none-any.whl", hash = "sha256:b0231fa3afb0f7184e82535f2b4a36636442ed21e94a0cf3aaa7982157e7ebca", size = 84655 }, -] - -[[package]] -name = "deepeval" -version = "2.0.6" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "docx2txt" }, - { name = "grpcio" }, - { name = "importlib-metadata" }, - { name = "langchain" }, - { name = "langchain-community" }, - { name = "langchain-core" }, - { name = "langchain-openai" }, - { name = "nest-asyncio" }, - { name = "opentelemetry-api" }, - { name = "opentelemetry-exporter-otlp-proto-grpc" }, - { name = "opentelemetry-sdk" }, - { name = "portalocker" }, - { name = "protobuf" }, - { name = "pydantic" }, - { name = "pytest" }, - { name = "pytest-repeat" }, - { name = "pytest-xdist" }, - { name = "requests" }, - { name = "rich" }, - { name = "sentry-sdk" }, - { name = "tabulate" }, - { name = "tenacity" }, - { name = "tqdm" }, - { name = "typer" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/5d/00/137fa722a29b0e0463db653ba71d8e6eb47bb8b051db7497bfba57e44712/deepeval-2.0.6.tar.gz", hash = "sha256:74976e01f4896a18169354a766a779b99df3d3386f88d9a9e49862fa93989dd5", size = 324457 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/39/60/533ce66e28295e2b94267126a851ac091ad29a835a9827d1f9c30574fce4/deepeval-2.0.6-py3-none-any.whl", hash = "sha256:57302830ff9d3d16ad4f1961338c7b4453e48039ff131990f258880728f33b6b", size = 504101 }, -] - -[[package]] -name = "deprecated" -version = "1.2.15" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "wrapt" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/2e/a3/53e7d78a6850ffdd394d7048a31a6f14e44900adedf190f9a165f6b69439/deprecated-1.2.15.tar.gz", hash = "sha256:683e561a90de76239796e6b6feac66b99030d2dd3fcf61ef996330f14bbb9b0d", size = 2977612 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/1d/8f/c7f227eb42cfeaddce3eb0c96c60cbca37797fa7b34f8e1aeadf6c5c0983/Deprecated-1.2.15-py2.py3-none-any.whl", hash = "sha256:353bc4a8ac4bfc96800ddab349d89c25dec1079f65fd53acdcc1e0b975b21320", size = 9941 }, -] - [[package]] name = "deprecation" version = "2.1.0" @@ -1140,30 +756,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/02/c3/253a89ee03fc9b9682f1541728eb66db7db22148cd94f89ab22528cd1e1b/deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a", size = 11178 }, ] -[[package]] -name = "deptry" -version = "0.20.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "click" }, - { name = "colorama", marker = "sys_platform == 'win32'" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/18/9e/7a976d923d3ae18d7dc4ace8e0c83e20a847828196e7f4b13a4bf6b03b50/deptry-0.20.0.tar.gz", hash = "sha256:62e9aaf3aea9e2ca66c85da98a0ba0290b4d3daea4e1d0ad937d447bd3c36402", size = 129936 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/1d/da/c94ebc2192a29a6f45acb5b87fdb31d1b84843154572d9b88100b7047eda/deptry-0.20.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:41434d95124851b83cb05524d1a09ad6fea62006beafed2ef90a6b501c1b237f", size = 1624964 }, - { url = "https://files.pythonhosted.org/packages/98/8e/08f7b33b384a7981b27de5aa3def41b6fa691aa692904910dc1f5bd1fc02/deptry-0.20.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:b3b4b22d1406147de5d606a24042126cd74d52fdfdb0232b9c5fd0270d601610", size = 1545726 }, - { url = "https://files.pythonhosted.org/packages/55/47/8e813609a4ba6c75032bd3468f9edcad31e11906eafd0a1e5a3f3f837fba/deptry-0.20.0-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:012fb106dbea6ca95196cdcd75ac90c516c8f01292f7934f2e802a7cf025a660", size = 1676818 }, - { url = "https://files.pythonhosted.org/packages/b4/70/456d976912c6026252034c0cdb37a3cbad34ac0ce815763466720c63aece/deptry-0.20.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ce3920e2bd6d2b4427ab31ab8efb94bbef897001c2d395782bc30002966d12d", size = 1708051 }, - { url = "https://files.pythonhosted.org/packages/ff/66/95e04a84120861b0c0ac980999e6172612509d5ff9a84b41e2f71cc3c3c0/deptry-0.20.0-cp38-abi3-win_amd64.whl", hash = "sha256:0c90ce64e637d0e902bc97c5a020adecfee9e9f09ee0bf4c61554994139bebdb", size = 1493281 }, - { url = "https://files.pythonhosted.org/packages/53/c9/9d7d86b5fdc452b522ef16df9e27c8404dc6f231fa865a3af31c1dab7563/deptry-0.20.0-cp38-abi3-win_arm64.whl", hash = "sha256:6886ff44aaf26fd83093f14f844ebc84589d90df9bbad9a1625e8a080e6f1be2", size = 1420087 }, - { url = "https://files.pythonhosted.org/packages/2a/06/57ccbad1a66e9a17980f03f6aed9724577a5acd58c761ede76e4b03004a7/deptry-0.20.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ace3b39b1d0763f357c79bab003d1b135bea2eb61102be539992621a42d1ac7b", size = 1624520 }, - { url = "https://files.pythonhosted.org/packages/d9/00/c8b214f4a0c52b95cabb35197046efc84f9205eeef1d12026e865eeab373/deptry-0.20.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d1a00f8c9e6c0829a4a523edd5e526e3df06d2b50e0a99446f09f9723df2efad", size = 1545283 }, - { url = "https://files.pythonhosted.org/packages/c6/6f/999f8cdb338cceb48e2d05e9638f988cd25d4971d1882e251691ecd41fa0/deptry-0.20.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e233859f150df70ffff76e95f9b7326fc25494b9beb26e776edae20f0f515e7d", size = 1677736 }, - { url = "https://files.pythonhosted.org/packages/a0/06/2fffc44168e139619c83de0a2af293c88c08879b93de72b3041a3b4e0eed/deptry-0.20.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f92e7e97ef42477717747b190bc6796ab94b35655af126d8c577f7eae0eb3a9", size = 1707537 }, - { url = "https://files.pythonhosted.org/packages/fa/a8/f5465abf491f945175d60f4a52f5c1b8bec7d58bfce41a6dc5d5894fc7b3/deptry-0.20.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:f6cee6005997791bb77155667be055333fb63ae9a24f0f103f25faf1e7affe34", size = 1493191 }, -] - [[package]] name = "dill" version = "0.3.8" @@ -1173,15 +765,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c9/7a/cef76fd8438a42f96db64ddaa85280485a9c395e7df3db8158cfec1eee34/dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7", size = 116252 }, ] -[[package]] -name = "dirtyjson" -version = "1.0.8" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/db/04/d24f6e645ad82ba0ef092fa17d9ef7a21953781663648a01c9371d9e8e98/dirtyjson-1.0.8.tar.gz", hash = "sha256:90ca4a18f3ff30ce849d100dcf4a003953c79d3a2348ef056f1d9c22231a25fd", size = 30782 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/68/69/1bcf70f81de1b4a9f21b3a62ec0c83bdff991c88d6cc2267d02408457e88/dirtyjson-1.0.8-py3-none-any.whl", hash = "sha256:125e27248435a58acace26d5c2c4c11a1c0de0a9c5124c5a94ba78e517d74f53", size = 25197 }, -] - [[package]] name = "distlib" version = "0.3.9" @@ -1260,12 +843,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/d5/7c/e9fcff7623954d86bdc17782036cbf715ecab1bec4847c008557affe1ca8/docstring_parser-0.16-py3-none-any.whl", hash = "sha256:bf0a1387354d3691d102edef7ec124f219ef639982d096e26e3b60aeffa90637", size = 36533 }, ] -[[package]] -name = "docx2txt" -version = "0.8" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/7d/7d/60ee3f2b16d9bfdfa72e8599470a2c1a5b759cb113c6fe1006be28359327/docx2txt-0.8.tar.gz", hash = "sha256:2c06d98d7cfe2d3947e5760a57d924e3ff07745b379c8737723922e7009236e5", size = 2814 } - [[package]] name = "email-validator" version = "2.2.0" @@ -1279,24 +856,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/d7/ee/bf0adb559ad3c786f12bcbc9296b3f5675f529199bef03e2df281fa1fadb/email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631", size = 33521 }, ] -[[package]] -name = "emoji" -version = "2.14.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/13/64/812d7e2ae0ac2ade0d6583f911f99240c80f700afbe8391df10e547f564d/emoji-2.14.0.tar.gz", hash = "sha256:f68ac28915a2221667cddb3e6c589303c3c6954c6c5af6fefaec7f9bdf72fdca", size = 593932 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ef/56/4ddf8b36aa4b52077045b17ffb8958f3360b250df4143d1482d9d5bb54d5/emoji-2.14.0-py3-none-any.whl", hash = "sha256:fcc936bf374b1aec67dda5303ae99710ba88cc9cdce2d1a71c5f2204e6d78799", size = 586897 }, -] - -[[package]] -name = "et-xmlfile" -version = "2.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059 }, -] - [[package]] name = "exceptiongroup" version = "1.2.2" @@ -1306,36 +865,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/02/cc/b7e31358aac6ed1ef2bb790a9746ac2c69bcb3c8588b41616914eb106eaf/exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b", size = 16453 }, ] -[[package]] -name = "execnet" -version = "2.1.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/bb/ff/b4c0dc78fbe20c3e59c0c7334de0c27eb4001a2b2017999af398bf730817/execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3", size = 166524 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/43/09/2aea36ff60d16dd8879bdb2f5b3ee0ba8d08cbbdcdfe870e695ce3784385/execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc", size = 40612 }, -] - -[[package]] -name = "falkordb" -version = "1.0.9" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "redis" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/a3/fd/8f4a6bc2965a306f55f33ef96ea970f324463c48f6041fbc451e7c64463b/falkordb-1.0.9.tar.gz", hash = "sha256:177008e63c7e4d9ebbdfeb8cad24b0e49175bb0f6e96cac9b4ffb641c0eff0f1", size = 27159 } - [[package]] name = "fastapi" -version = "0.109.2" +version = "0.115.7" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "pydantic" }, { name = "starlette" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/01/d5/33a8992fe0e811211cd1cbc219cefa4732f9fb0555921346a59d1fec0040/fastapi-0.109.2.tar.gz", hash = "sha256:f3817eac96fe4f65a2ebb4baa000f394e55f5fccdaf7f75250804bc58f354f73", size = 11720963 } +sdist = { url = "https://files.pythonhosted.org/packages/a2/f5/3f921e59f189e513adb9aef826e2841672d50a399fead4e69afdeb808ff4/fastapi-0.115.7.tar.gz", hash = "sha256:0f106da6c01d88a6786b3248fb4d7a940d071f6f488488898ad5d354b25ed015", size = 293177 } wheels = [ - { url = "https://files.pythonhosted.org/packages/bf/97/60351307ab4502908d29f64f2801a36709a3f1888447bb328bc373d6ca0e/fastapi-0.109.2-py3-none-any.whl", hash = "sha256:2c9bab24667293b501cad8dd388c05240c850b58ec5876ee3283c47d6e1e3a4d", size = 92071 }, + { url = "https://files.pythonhosted.org/packages/e6/7f/bbd4dcf0faf61bc68a01939256e2ed02d681e9334c1a3cef24d5f77aba9f/fastapi-0.115.7-py3-none-any.whl", hash = "sha256:eb6a8c8bf7f26009e8147111ff15b5177a0e19bb4a45bc3486ab14804539d21e", size = 94777 }, ] [[package]] @@ -1362,15 +903,15 @@ sqlalchemy = [ [[package]] name = "fastapi-users-db-sqlalchemy" -version = "6.0.1" +version = "7.0.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "fastapi-users" }, { name = "sqlalchemy", extra = ["asyncio"] }, ] -sdist = { url = "https://files.pythonhosted.org/packages/80/ea/ce1eb0afbced169d54621e3558c385ec0f2813e87b4b115de9cb6f4dba35/fastapi_users_db_sqlalchemy-6.0.1.tar.gz", hash = "sha256:f0ef9fe3250453712d25c13170700c80fa205867ce7add7ef391c384ec27cbe1", size = 10530 } +sdist = { url = "https://files.pythonhosted.org/packages/87/12/bc9e6146ae31564741cefc87ee6e37fa5b566933f0afe8aa030779d60e60/fastapi_users_db_sqlalchemy-7.0.0.tar.gz", hash = "sha256:6823eeedf8a92f819276a2b2210ef1dcfd71fe8b6e37f7b4da8d1c60e3dfd595", size = 10877 } wheels = [ - { url = "https://files.pythonhosted.org/packages/39/0b/7b0bb477b3258b1c6b6daf950694c0f8d6f62ec6a82f6f37ed5369fda01e/fastapi_users_db_sqlalchemy-6.0.1-py3-none-any.whl", hash = "sha256:d1050ec31eb75e8c4fa9abafa4addaf0baf5c97afeea2f0f910ea55e2451fcad", size = 6907 }, + { url = "https://files.pythonhosted.org/packages/a6/08/9968963c1fb8c34627b7f1fbcdfe9438540f87dc7c9bfb59bb4fd19a4ecf/fastapi_users_db_sqlalchemy-7.0.0-py3-none-any.whl", hash = "sha256:5fceac018e7cfa69efc70834dd3035b3de7988eb4274154a0dbe8b14f5aa001e", size = 6891 }, ] [[package]] @@ -1517,26 +1058,26 @@ http = [ [[package]] name = "gitdb" -version = "4.0.11" +version = "4.0.12" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "smmap" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/19/0d/bbb5b5ee188dec84647a4664f3e11b06ade2bde568dbd489d9d64adef8ed/gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b", size = 394469 } +sdist = { url = "https://files.pythonhosted.org/packages/72/94/63b0fc47eb32792c7ba1fe1b694daec9a63620db1e313033d18140c2320a/gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571", size = 394684 } wheels = [ - { url = "https://files.pythonhosted.org/packages/fd/5b/8f0c4a5bb9fd491c277c21eff7ccae71b47d43c4446c9d0c6cff2fe8c2c4/gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4", size = 62721 }, + { url = "https://files.pythonhosted.org/packages/a0/61/5c78b91c3143ed5c14207f463aecfc8f9dbb5092fb2869baf37c273b2705/gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf", size = 62794 }, ] [[package]] name = "gitpython" -version = "3.1.43" +version = "3.1.44" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "gitdb" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/b6/a1/106fd9fa2dd989b6fb36e5893961f82992cf676381707253e0bf93eb1662/GitPython-3.1.43.tar.gz", hash = "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c", size = 214149 } +sdist = { url = "https://files.pythonhosted.org/packages/c0/89/37df0b71473153574a5cdef8f242de422a0f5d26d7a9e231e6f169b4ad14/gitpython-3.1.44.tar.gz", hash = "sha256:c87e30b26253bf5418b01b0660f818967f3c503193838337fe5e573331249269", size = 214196 } wheels = [ - { url = "https://files.pythonhosted.org/packages/e9/bd/cc3a402a6439c15c3d4294333e13042b915bbeab54edc457c723931fed3f/GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff", size = 207337 }, + { url = "https://files.pythonhosted.org/packages/1d/9a/4114a9057db2f1462d5c8f8390ab7383925fe1ac012eaa42402ad65c2963/GitPython-3.1.44-py3-none-any.whl", hash = "sha256:9e0e10cda9bed1ee64bc9a6de50e7e38a9c9943241cd7f585f6df3ed28011110", size = 207599 }, ] [[package]] @@ -1548,18 +1089,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/dd/94/c6ff3388b8e3225a014e55aed957188639aa0966443e0408d38f0c9614a7/giturlparse-0.12.0-py2.py3-none-any.whl", hash = "sha256:412b74f2855f1da2fefa89fd8dde62df48476077a72fc19b62039554d27360eb", size = 15752 }, ] -[[package]] -name = "googleapis-common-protos" -version = "1.66.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "protobuf" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/ff/a7/8e9cccdb1c49870de6faea2a2764fa23f627dd290633103540209f03524c/googleapis_common_protos-1.66.0.tar.gz", hash = "sha256:c3e7b33d15fdca5374cc0a7346dd92ffa847425cc4ea941d970f13680052ec8c", size = 114376 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a0/0f/c0713fb2b3d28af4b2fded3291df1c4d4f79a00d15c2374a9e010870016c/googleapis_common_protos-1.66.0-py2.py3-none-any.whl", hash = "sha256:d7abcd75fabb2e0ec9f74466401f6c119a0b498e27370e9be4c94cb7e382b8ed", size = 221682 }, -] - [[package]] name = "graphistry" version = "0.33.9" @@ -1631,111 +1160,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ac/38/08cc303ddddc4b3d7c628c3039a61a3aae36c241ed01393d00c2fd663473/greenlet-3.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:411f015496fec93c1c8cd4e5238da364e1da7a124bcb293f085bf2860c32c6f6", size = 1142112 }, ] -[[package]] -name = "groq" -version = "0.8.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "anyio" }, - { name = "distro" }, - { name = "httpx" }, - { name = "pydantic" }, - { name = "sniffio" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/d0/0f/8e58cd93839ce90df1dad812a5c793d9dcd511fe1eae26552264549d7d2d/groq-0.8.0.tar.gz", hash = "sha256:37ceb2f706bd516d0bfcac8e89048a24b375172987a0d6bd9efb521c54f6deff", size = 69423 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/15/e4/835f485c6b3268fbc52687481dd574d785b6500384b150196686d78f4cdf/groq-0.8.0-py3-none-any.whl", hash = "sha256:f5e4e892d45001241a930db451e633ca1f0007e3f749deaa5d7360062fcd61e3", size = 105391 }, -] - -[[package]] -name = "grpcio" -version = "1.60.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/7d/6d/919fd5886882c066122e69fbd938c1df2dc0aa22ab8de3e047c6aff5ac58/grpcio-1.60.1.tar.gz", hash = "sha256:dd1d3a8d1d2e50ad9b59e10aa7f07c7d1be2b367f3f2d33c5fade96ed5460962", size = 24771788 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/7d/3a/e5aa8c16eceb4fbe3603f5e175d738e691f6d3789d0835fb2d5fd2e0bf54/grpcio-1.60.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:14e8f2c84c0832773fb3958240c69def72357bc11392571f87b2d7b91e0bb092", size = 99933155 }, - { url = "https://files.pythonhosted.org/packages/6d/8f/c4c479df7a2db3cd4da9d1423d15a9b5fcae2763cd5c78254f14c6ea3324/grpcio-1.60.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:33aed0a431f5befeffd9d346b0fa44b2c01aa4aeae5ea5b2c03d3e25e0071216", size = 9628078 }, - { url = "https://files.pythonhosted.org/packages/02/63/38809fe7ac3c19205258881d020f9c3e70c27c54b70510cbfa0548f3bd63/grpcio-1.60.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:fead980fbc68512dfd4e0c7b1f5754c2a8e5015a04dea454b9cada54a8423525", size = 5115756 }, - { url = "https://files.pythonhosted.org/packages/93/47/07e4aab76f15a946ad66bd7f0df0a05498d68deb312cc5f25a2e4f0d8bb5/grpcio-1.60.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:082081e6a36b6eb5cf0fd9a897fe777dbb3802176ffd08e3ec6567edd85bc104", size = 5621845 }, - { url = "https://files.pythonhosted.org/packages/db/d4/8643b32c1ca0efa31b0a75b33e5750fe1597724bff684128096670eea13d/grpcio-1.60.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:55ccb7db5a665079d68b5c7c86359ebd5ebf31a19bc1a91c982fd622f1e31ff2", size = 5356187 }, - { url = "https://files.pythonhosted.org/packages/cc/ad/e26d069423832e32461f11cdf99040c9a31d2435b047563f9b8705cd2a3b/grpcio-1.60.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:9b54577032d4f235452f77a83169b6527bf4b77d73aeada97d45b2aaf1bf5ce0", size = 5904204 }, - { url = "https://files.pythonhosted.org/packages/b4/be/5df9e04743a7c93a6fb64400afd974dfa038f5eb1ada07eac66657ecca19/grpcio-1.60.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7d142bcd604166417929b071cd396aa13c565749a4c840d6c702727a59d835eb", size = 5605973 }, - { url = "https://files.pythonhosted.org/packages/7b/2c/1b9180ab1085ad08a0541f08972f10393ba7c1aee6090066da8f48e7c8e5/grpcio-1.60.1-cp310-cp310-win32.whl", hash = "sha256:2a6087f234cb570008a6041c8ffd1b7d657b397fdd6d26e83d72283dae3527b1", size = 3131617 }, - { url = "https://files.pythonhosted.org/packages/80/ae/7fc100880e704b95b151d4259656d8b9fdea1c3e5862506c10f697e5f4de/grpcio-1.60.1-cp310-cp310-win_amd64.whl", hash = "sha256:f2212796593ad1d0235068c79836861f2201fc7137a99aa2fea7beeb3b101177", size = 3702036 }, - { url = "https://files.pythonhosted.org/packages/a0/4f/2d27f7cc911675b717cd5b0e948e38b35a707a9d669b7a5691b9cb4a1311/grpcio-1.60.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:79ae0dc785504cb1e1788758c588c711f4e4a0195d70dff53db203c95a0bd303", size = 100133807 }, - { url = "https://files.pythonhosted.org/packages/ec/d5/c3ddb54b39ce43d21428407eb26cf9a21fd43de5e26d9733b1f173d57475/grpcio-1.60.1-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:4eec8b8c1c2c9b7125508ff7c89d5701bf933c99d3910e446ed531cd16ad5d87", size = 9649624 }, - { url = "https://files.pythonhosted.org/packages/f3/2c/ce6dbceff6c6009dedc53da3e5b0dfb6508fed730e9f56facd29d31a907d/grpcio-1.60.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:8c9554ca8e26241dabe7951aa1fa03a1ba0856688ecd7e7bdbdd286ebc272e4c", size = 5120377 }, - { url = "https://files.pythonhosted.org/packages/11/e2/fa35dc459bf6728cd427ff6b343fdea8547275a6259fd99db235b6b9e6d4/grpcio-1.60.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91422ba785a8e7a18725b1dc40fbd88f08a5bb4c7f1b3e8739cab24b04fa8a03", size = 5625775 }, - { url = "https://files.pythonhosted.org/packages/b8/c7/44201b27a9be0af7f997881904ce878a09a7fe95fc2e273d2f92b7b5b373/grpcio-1.60.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cba6209c96828711cb7c8fcb45ecef8c8859238baf15119daa1bef0f6c84bfe7", size = 5354820 }, - { url = "https://files.pythonhosted.org/packages/fa/6a/29a156cbda536a7a0b78d39bbe8d832c296d0ef751e14f8c335af4c6e921/grpcio-1.60.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c71be3f86d67d8d1311c6076a4ba3b75ba5703c0b856b4e691c9097f9b1e8bd2", size = 5908056 }, - { url = "https://files.pythonhosted.org/packages/1c/a3/7e9770256d19190635af04203597f656b17e67e292781fc176e96b416274/grpcio-1.60.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:af5ef6cfaf0d023c00002ba25d0751e5995fa0e4c9eec6cd263c30352662cbce", size = 5604829 }, - { url = "https://files.pythonhosted.org/packages/5f/dd/a2d8bdac8b5c5f9b3b15738e69631dddf7d3372c978a983ee51d56bc3a9f/grpcio-1.60.1-cp311-cp311-win32.whl", hash = "sha256:a09506eb48fa5493c58f946c46754ef22f3ec0df64f2b5149373ff31fb67f3dd", size = 3127921 }, - { url = "https://files.pythonhosted.org/packages/7b/3e/a22e7a0ec6be5454dc540063ac5d0843eb72a4641a0892b54b16b1438c0a/grpcio-1.60.1-cp311-cp311-win_amd64.whl", hash = "sha256:49c9b6a510e3ed8df5f6f4f3c34d7fbf2d2cae048ee90a45cd7415abab72912c", size = 3699377 }, - { url = "https://files.pythonhosted.org/packages/b6/6b/541f0e68a7682c7c5c86bba148a032f5e70907a9b2f7b11bbc79f796e949/grpcio-1.60.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:b58b855d0071575ea9c7bc0d84a06d2edfbfccec52e9657864386381a7ce1ae9", size = 100617927 }, - { url = "https://files.pythonhosted.org/packages/b8/c8/7d23930a22ec2596cc74f047e2a0338f6fdae1fa8d452d1555acd549614d/grpcio-1.60.1-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:a731ac5cffc34dac62053e0da90f0c0b8560396a19f69d9703e88240c8f05858", size = 9612000 }, - { url = "https://files.pythonhosted.org/packages/96/03/af685a4d1b4ee8542ff5e1c7725b78fef0bc823342429142b3c19a81b6ef/grpcio-1.60.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:cf77f8cf2a651fbd869fbdcb4a1931464189cd210abc4cfad357f1cacc8642a6", size = 5061792 }, - { url = "https://files.pythonhosted.org/packages/66/c1/dc47898cd1e45a3d05e1a0a9a33366db12273c39ba1dc7663dc301b23cd2/grpcio-1.60.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c557e94e91a983e5b1e9c60076a8fd79fea1e7e06848eb2e48d0ccfb30f6e073", size = 5566287 }, - { url = "https://files.pythonhosted.org/packages/9b/24/9e942669f53346d4bf0849ebceaa9257fdd21e1694fade8470b6e0dd2ff8/grpcio-1.60.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:069fe2aeee02dfd2135d562d0663fe70fbb69d5eed6eb3389042a7e963b54de8", size = 5300197 }, - { url = "https://files.pythonhosted.org/packages/11/4f/56d59c235ce4ebcc0100578bba30c7c9d40607293cf6081ba387211bcce3/grpcio-1.60.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:cb0af13433dbbd1c806e671d81ec75bd324af6ef75171fd7815ca3074fe32bfe", size = 5852834 }, - { url = "https://files.pythonhosted.org/packages/e2/a7/d6ee96361a69998acb45de9dbee7c5e8d94b934922ed60047fde96a96bd4/grpcio-1.60.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2f44c32aef186bbba254129cea1df08a20be414144ac3bdf0e84b24e3f3b2e05", size = 5555225 }, - { url = "https://files.pythonhosted.org/packages/08/61/02954fa2051ad930c9f332b360726292923323310c673c78f3764f02df3a/grpcio-1.60.1-cp312-cp312-win32.whl", hash = "sha256:a212e5dea1a4182e40cd3e4067ee46be9d10418092ce3627475e995cca95de21", size = 3111253 }, - { url = "https://files.pythonhosted.org/packages/b9/56/4a8610864aa634ef89af3d7059e2bb0c0991e3d4b534467a7befc11c44c8/grpcio-1.60.1-cp312-cp312-win_amd64.whl", hash = "sha256:6e490fa5f7f5326222cb9f0b78f207a2b218a14edf39602e083d5f617354306f", size = 3691785 }, -] - -[[package]] -name = "grpcio-health-checking" -version = "1.60.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "grpcio" }, - { name = "protobuf" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/14/11/dca3c1dd36446c18b73bc46cff1bc0ed89ed4dd16f6c73cf9cbc2aa291ec/grpcio-health-checking-1.60.1.tar.gz", hash = "sha256:7c2e48ce9d5bdb19ad57b7abe3438d47ebdead507866939140720b3e28c625b3", size = 16320 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/50/63/5734148a1da3022c4c9479d36a2d6567a93b3a5e5ecee821015789a0f5e7/grpcio_health_checking-1.60.1-py3-none-any.whl", hash = "sha256:96dc89800cabdc943a5734e037fadea5f94c31c76e043638e448c1865b34d894", size = 18544 }, -] - -[[package]] -name = "grpcio-tools" -version = "1.60.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "grpcio" }, - { name = "protobuf" }, - { name = "setuptools" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/2c/7f/30d9ef28cbe302c622bf289d194689cd571ea4df0b492d46b95e503aabb1/grpcio-tools-1.60.1.tar.gz", hash = "sha256:da08224ab8675c6d464b988bd8ca02cccd2bf0275bceefe8f6219bfd4a4f5e85", size = 4611737 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9c/ef/7c9fca308b1c3d960688f907037a03409acf09aaede7eb1840e04f53ef83/grpcio_tools-1.60.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:184b27333b627a7cc0972fb70d21a8bb7c02ac4a6febc16768d78ea8ff883ddd", size = 63932018 }, - { url = "https://files.pythonhosted.org/packages/ed/cf/531023bd9d18009fa2cd7956d97f22a072a0672259a85fd31f640612ec58/grpcio_tools-1.60.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:18d7737f29ef5bbe3352547d0eccd080807834f00df223867dfc860bf81e9180", size = 5120492 }, - { url = "https://files.pythonhosted.org/packages/ec/5d/59d91a79b49c954dbfa9778a715571f7df4a7492de17e55baf4be8237ea2/grpcio_tools-1.60.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:cc8ba358d2c658c6ecbc58e779bf0fc5a673fecac015a70db27fc5b4d37b76b6", size = 2707836 }, - { url = "https://files.pythonhosted.org/packages/aa/5a/0ef71a85281fed192094902c264a21ff846f0a8f70388f390440e14e70e0/grpcio_tools-1.60.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2973f75e8ba5c551033a1d59cc97654f6f386deaf2559082011d245d7ed87bba", size = 3060237 }, - { url = "https://files.pythonhosted.org/packages/97/4b/a7c3d1f64b2f3728c8ece2b5ebf9ab8ddab2edf2de17f14d2688ff5ce940/grpcio_tools-1.60.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28ae665113affebdd109247386786e5ab4dccfcfad1b5f68e9cce2e326b57ee6", size = 2795163 }, - { url = "https://files.pythonhosted.org/packages/4a/da/79509ea5149cae094797d0580157b14a289244c075074b1a74a870c5b0e6/grpcio_tools-1.60.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5c7ed086fef5ff59f46d53a052b1934b73e0f7d12365d656d6af3a88057d5a3e", size = 3673786 }, - { url = "https://files.pythonhosted.org/packages/e7/97/a01da8f8488df57c6692b133cc2007d6952986c6d9d700df5779fe2c5a5f/grpcio_tools-1.60.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8540f6480428a52614db71dd6394f52cbc0d2565b5ea1136a982f26390a42c7a", size = 3281878 }, - { url = "https://files.pythonhosted.org/packages/51/a5/6dd6b00beae3b880422d80fa17aac904d31ca200320447d36ad46024d706/grpcio_tools-1.60.1-cp310-cp310-win32.whl", hash = "sha256:5b4a939097005531edec331f22d0b82bff26e71ede009354d2f375b5d41e74f0", size = 921928 }, - { url = "https://files.pythonhosted.org/packages/f3/1c/103c72d65ed02f7836c8ecf335540b2d99712c08231847c73678f5c8e71e/grpcio_tools-1.60.1-cp310-cp310-win_amd64.whl", hash = "sha256:075bb67895970f96aabc1761ca674bf4db193f8fcad387f08e50402023b5f953", size = 1068079 }, - { url = "https://files.pythonhosted.org/packages/61/77/6414c9fec523fbc13c227b814212f1931db3bcc90d0444e25f20b4083b82/grpcio_tools-1.60.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:284749d20fb22418f17d3d351b9eb838caf4a0393a9cb02c36e5c32fa4bbe9db", size = 63937620 }, - { url = "https://files.pythonhosted.org/packages/71/b4/5cdbd524494d0c17adf11ebb17deca82cc358499c2bf70c20044d8fcd099/grpcio_tools-1.60.1-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:b1041377cf32ee2338284ee26e6b9c10f9ea7728092376b19803dcb9b91d510d", size = 5147734 }, - { url = "https://files.pythonhosted.org/packages/4c/bf/360dbe8de7856b36d1960afb6d8906f874c36df32fec76fe0e4d80043fba/grpcio_tools-1.60.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:e529cd3d4109a6f4a3f7bdaca68946eb33734e2d7ffe861785a0586abe99ee67", size = 2708356 }, - { url = "https://files.pythonhosted.org/packages/4b/df/859282237663200ba11d96713fa9812066cc33b681806588ace26031135e/grpcio_tools-1.60.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:31294b534f25f02ead204e58dcbe0e5437a95a1a6f276bb9378905595b02ff6d", size = 3060317 }, - { url = "https://files.pythonhosted.org/packages/c5/dd/3634438a1fe9fc77a50d112af2a47b101b6462d35578a03d16ae9db3e833/grpcio_tools-1.60.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3fb6f4d2df0388c35c2804ba170f511238a681b679ead013bfe5e39d0ea9cf48", size = 2795696 }, - { url = "https://files.pythonhosted.org/packages/71/23/c4c2e3c03a434ef2ed585f6ecd97b0d13941d6001add7a2997640979f72c/grpcio_tools-1.60.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:40cd8268a675269ce59c4fa50877597ec638bb1099c52237bb726c8ac9791868", size = 3674641 }, - { url = "https://files.pythonhosted.org/packages/ad/35/93d7ca0c7cb6ed48ee6eaa11c7683c00c14c595959de54dc91230f6409a4/grpcio_tools-1.60.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:985ac476da365267a2367ab20060f9096fbfc2e190fb02dd394f9ec05edf03ca", size = 3282607 }, - { url = "https://files.pythonhosted.org/packages/07/30/696d22a9f39b33f006209094c83d64d1c3c0b967c4810666ef0b24df87b9/grpcio_tools-1.60.1-cp311-cp311-win32.whl", hash = "sha256:bd85f6c368b93ae45edf8568473053cb1cc075ef3489efb18f9832d4ecce062f", size = 922154 }, - { url = "https://files.pythonhosted.org/packages/8c/1f/ffd7645afeaad43b141c80f997bba8509721a2bc674dfc0d710e63fb4a1a/grpcio_tools-1.60.1-cp311-cp311-win_amd64.whl", hash = "sha256:c20e752ff5057758845f4e5c7a298739bfba291f373ed18ea9c7c7acbe69e8ab", size = 1067994 }, - { url = "https://files.pythonhosted.org/packages/df/91/41c27e0d96915e817717eebd570e012b40f17ebc0a42599ee4a8be8937c2/grpcio_tools-1.60.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:aafc94616c5f89c891d859057b194a153c451f9921053454e9d7d4cbf79047eb", size = 63964333 }, - { url = "https://files.pythonhosted.org/packages/75/b8/26d6115ecb12b831390cf04c742648b1b9cd9d3638c9cb70641f8661c016/grpcio_tools-1.60.1-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:9bba347000f57dae8aea79c0d76ef7d72895597524d30d0170c7d1974a3a03f3", size = 5147841 }, - { url = "https://files.pythonhosted.org/packages/6b/2b/4ffc8c23306d6f50a76bac8427b86dfbcb9d0b232af58fac1aada9b791aa/grpcio_tools-1.60.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:1e96a532d38411f0543fe1903ff522f7142a9901afb0ed94de58d79caf1905be", size = 2709524 }, - { url = "https://files.pythonhosted.org/packages/38/62/9c7a738913f3b753455a49325cb3196f5d0d8870b72a921b2259eb7600c0/grpcio_tools-1.60.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5ea6e397d87f458bb2c387a4a6e1b65df74ce5b5194a1f16850c38309012e981", size = 3061064 }, - { url = "https://files.pythonhosted.org/packages/3f/52/f0c4e1561c9361a37daf0f5c2f6bdc9a340bea66422313f797abc0492820/grpcio_tools-1.60.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3aeecd5b8faa2aab67e6c8b8a57e888c00ce70d39f331ede0a21312e92def1a6", size = 2797029 }, - { url = "https://files.pythonhosted.org/packages/c2/aa/8006a428a44453b95b484e89cf609ce5fc649610b83640fb00a538a54559/grpcio_tools-1.60.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:d2c26ce5f774c98bd2d3d8d1703048394018b55d297ebdb41ed2ba35b9a34f68", size = 3674986 }, - { url = "https://files.pythonhosted.org/packages/a4/96/132094e21606bb3bec8dcb5e1c947cb09dd5f99da065ab9ccdcb9b829fd3/grpcio_tools-1.60.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:214281cdafb7acfdcde848eca2de7c888a6e2b5cd25ab579712b965ea09a9cd4", size = 3283144 }, - { url = "https://files.pythonhosted.org/packages/d9/e7/d61a2052dc3b0a58c50d73523b9ab268a7aff8a57bf3d7006657111d9741/grpcio_tools-1.60.1-cp312-cp312-win32.whl", hash = "sha256:8c4b917aa4fcdc77990773063f0f14540aab8d4a8bf6c862b964a45d891a31d2", size = 922615 }, - { url = "https://files.pythonhosted.org/packages/7e/ab/72afa896d8314e67cefc7fb4501329e7af0f00cbcd401b3d15f183f5aece/grpcio_tools-1.60.1-cp312-cp312-win_amd64.whl", hash = "sha256:0aa34c7c21cff2177a4096b2b0d51dfbc9f8a41f929847a434e89b352c5a215d", size = 1068419 }, -] - [[package]] name = "gunicorn" version = "20.1.0" @@ -1757,48 +1181,13 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/95/04/ff642e65ad6b90db43e668d70ffb6736436c7ce41fcc549f4e9472234127/h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761", size = 58259 }, ] -[[package]] -name = "h2" -version = "4.1.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "hpack" }, - { name = "hyperframe" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/2a/32/fec683ddd10629ea4ea46d206752a95a2d8a48c22521edd70b142488efe1/h2-4.1.0.tar.gz", hash = "sha256:a83aca08fbe7aacb79fec788c9c0bac936343560ed9ec18b82a13a12c28d2abb", size = 2145593 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/2a/e5/db6d438da759efbb488c4f3fbdab7764492ff3c3f953132efa6b9f0e9e53/h2-4.1.0-py3-none-any.whl", hash = "sha256:03a46bcf682256c95b5fd9e9a99c1323584c3eec6440d379b9903d709476bc6d", size = 57488 }, -] - [[package]] name = "hexbytes" -version = "1.2.1" +version = "1.3.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/4e/51/06836a542b773bfc60ab871fa08d4a7963e7df6754ca57169e2654287cc1/hexbytes-1.2.1.tar.gz", hash = "sha256:515f00dddf31053db4d0d7636dd16061c1d896c3109b8e751005db4ca46bcca7", size = 7722 } +sdist = { url = "https://files.pythonhosted.org/packages/83/71/1a3f2439cf138b555c182fffeffbf67c090837e4570370af85ee8e57013f/hexbytes-1.3.0.tar.gz", hash = "sha256:4a61840c24b0909a6534350e2d28ee50159ca1c9e89ce275fd31c110312cf684", size = 8200 } wheels = [ - { url = "https://files.pythonhosted.org/packages/39/c6/20f25ea73e4ceffb3eb4e38347f2992cb25e5ff6eb644d52e753a7a72f57/hexbytes-1.2.1-py3-none-any.whl", hash = "sha256:e64890b203a31f4a23ef11470ecfcca565beaee9198df623047df322b757471a", size = 5160 }, -] - -[[package]] -name = "hpack" -version = "4.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/3e/9b/fda93fb4d957db19b0f6b370e79d586b3e8528b20252c729c476a2c02954/hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095", size = 49117 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d5/34/e8b383f35b77c402d28563d2b8f83159319b509bc5f760b15d60b0abf165/hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c", size = 32611 }, -] - -[[package]] -name = "html5lib" -version = "1.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "six" }, - { name = "webencodings" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/ac/b6/b55c3f49042f1df3dcd422b7f224f939892ee94f22abcf503a9b7339eaf2/html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f", size = 272215 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6c/dd/a834df6482147d48e225a49515aabc28974ad5a4ca3215c18a882565b028/html5lib-1.1-py2.py3-none-any.whl", hash = "sha256:0d78f8fde1c230e99fe37986a60526d7049ed4bf8a9fadbad5f00e22e58e041d", size = 112173 }, + { url = "https://files.pythonhosted.org/packages/02/96/035871b535a728700d3cc5b94cf883706f345c5a088253f26f0bee0b7939/hexbytes-1.3.0-py3-none-any.whl", hash = "sha256:83720b529c6e15ed21627962938dc2dec9bb1010f17bbbd66bf1e6a8287d522c", size = 4902 }, ] [[package]] @@ -1830,11 +1219,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/41/7b/ddacf6dcebb42466abd03f368782142baa82e08fc0c1f8eaa05b4bae87d5/httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5", size = 75590 }, ] -[package.optional-dependencies] -http2 = [ - { name = "h2" }, -] - [[package]] name = "httpx-sse" version = "0.4.0" @@ -1846,7 +1230,7 @@ wheels = [ [[package]] name = "huggingface-hub" -version = "0.27.0" +version = "0.27.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "filelock" }, @@ -1857,9 +1241,9 @@ dependencies = [ { name = "tqdm" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/36/c6/e3709b61de8e7832dbe19f0d9637e81356cede733d99359fbce125423774/huggingface_hub-0.27.0.tar.gz", hash = "sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac", size = 379286 } +sdist = { url = "https://files.pythonhosted.org/packages/e1/d2/d6976de7542792fc077b498d64af64882b6d8bb40679284ec0bff77d5929/huggingface_hub-0.27.1.tar.gz", hash = "sha256:c004463ca870283909d715d20f066ebd6968c2207dae9393fdffb3c1d4d8f98b", size = 379407 } wheels = [ - { url = "https://files.pythonhosted.org/packages/61/8c/fbdc0a88a622d9fa54e132d7bf3ee03ec602758658a2db5b339a65be2cfe/huggingface_hub-0.27.0-py3-none-any.whl", hash = "sha256:8f2e834517f1f1ddf1ecc716f91b120d7333011b7485f665a9a412eacb1a2a81", size = 450537 }, + { url = "https://files.pythonhosted.org/packages/6c/3f/50f6b25fafdcfb1c089187a328c95081abf882309afd86f4053951507cd1/huggingface_hub-0.27.1-py3-none-any.whl", hash = "sha256:1c5155ca7d60b60c2e2fc38cbb3ffb7f7c3adf48f824015b219af9061771daec", size = 450658 }, ] [[package]] @@ -1871,22 +1255,13 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/92/75/4bc3e242ad13f2e6c12e0b0401ab2c5e5c6f0d7da37ec69bc808e24e0ccb/humanize-4.11.0-py3-none-any.whl", hash = "sha256:b53caaec8532bcb2fff70c8826f904c35943f8cecaca29d272d9df38092736c0", size = 128055 }, ] -[[package]] -name = "hyperframe" -version = "6.0.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5a/2a/4747bff0a17f7281abe73e955d60d80aae537a5d203f417fa1c2e7578ebb/hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914", size = 25008 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d7/de/85a784bcc4a3779d1753a7ec2dee5de90e18c7bcf402e71b51fcf150b129/hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15", size = 12389 }, -] - [[package]] name = "identify" -version = "2.6.3" +version = "2.6.6" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/1a/5f/05f0d167be94585d502b4adf8c7af31f1dc0b1c7e14f9938a88fdbbcf4a7/identify-2.6.3.tar.gz", hash = "sha256:62f5dae9b5fef52c84cc188514e9ea4f3f636b1d8799ab5ebc475471f9e47a02", size = 99179 } +sdist = { url = "https://files.pythonhosted.org/packages/82/bf/c68c46601bacd4c6fb4dd751a42b6e7087240eaabc6487f2ef7a48e0e8fc/identify-2.6.6.tar.gz", hash = "sha256:7bec12768ed44ea4761efb47806f0a41f86e7c0a5fdf5950d4648c90eca7e251", size = 99217 } wheels = [ - { url = "https://files.pythonhosted.org/packages/c9/f5/09644a3ad803fae9eca8efa17e1f2aef380c7f0b02f7ec4e8d446e51d64a/identify-2.6.3-py2.py3-none-any.whl", hash = "sha256:9edba65473324c2ea9684b1f944fe3191db3345e50b6d04571d10ed164f8d7bd", size = 99049 }, + { url = "https://files.pythonhosted.org/packages/74/a1/68a395c17eeefb04917034bd0a1bfa765e7654fa150cca473d669aa3afb5/identify-2.6.6-py2.py3-none-any.whl", hash = "sha256:cbd1810bce79f8b671ecb20f53ee0ae8e86ae84b557de31d89709dc2a48ba881", size = 99083 }, ] [[package]] @@ -1900,23 +1275,14 @@ wheels = [ [[package]] name = "importlib-metadata" -version = "8.4.0" +version = "8.6.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "zipp" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c0/bd/fa8ce65b0a7d4b6d143ec23b0f5fd3f7ab80121078c465bc02baeaab22dc/importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5", size = 54320 } +sdist = { url = "https://files.pythonhosted.org/packages/33/08/c1395a292bb23fd03bdf572a1357c5a733d3eecbab877641ceacab23db6e/importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580", size = 55767 } wheels = [ - { url = "https://files.pythonhosted.org/packages/c0/14/362d31bf1076b21e1bcdcb0dc61944822ff263937b804a79231df2774d28/importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1", size = 26269 }, -] - -[[package]] -name = "iniconfig" -version = "2.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d7/4b/cbd8e699e64a6f16ca3a8220661b5f83792b3017d0f79807cb8708d33913/iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3", size = 4646 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ef/a6/62565a6e1cf69e10f5727360368e451d4b7f58beeac6173dc9db836a5b46/iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374", size = 5892 }, + { url = "https://files.pythonhosted.org/packages/79/9d/0fb148dc4d6fa4a7dd1d8378168d9b4cd8d4560a6fbf6f0121c5fc34eb68/importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e", size = 26971 }, ] [[package]] @@ -1941,25 +1307,16 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c5/82/fd319382c1a33d7021cf151007b4cbd5daddf09d9ca5fb670e476668f9fc/instructor-1.7.2-py3-none-any.whl", hash = "sha256:cb43d27f6d7631c31762b936b2fcb44d2a3f9d8a020430a0f4d3484604ffb95b", size = 71353 }, ] -[[package]] -name = "isort" -version = "5.13.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/87/f9/c1eb8635a24e87ade2efce21e3ce8cd6b8630bb685ddc9cdaca1349b2eb5/isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109", size = 175303 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d1/b3/8def84f539e7d2289a02f0524b944b15d7c75dab7628bedf1c4f0992029c/isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6", size = 92310 }, -] - [[package]] name = "jinja2" -version = "3.1.4" +version = "3.1.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "markupsafe" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/ed/55/39036716d19cab0747a5020fc7e907f362fbf48c984b14e62127f7e68e5d/jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369", size = 240245 } +sdist = { url = "https://files.pythonhosted.org/packages/af/92/b3130cbbf5591acf9ade8708c365f3238046ac7cb8ccba6e81abccb0ccff/jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb", size = 244674 } wheels = [ - { url = "https://files.pythonhosted.org/packages/31/80/3a54838c3fb461f6fec263ebf3a3a41771bd05190238de3486aae8540c36/jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d", size = 133271 }, + { url = "https://files.pythonhosted.org/packages/bd/0f/2ba5fbcd631e3e88689309dbe978c5769e883e4b84ebfe7da30b43275c5a/jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb", size = 134596 }, ] [[package]] @@ -2039,18 +1396,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/91/29/df4b9b42f2be0b623cbd5e2140cafcaa2bef0759a00b7b70104dcfe2fb51/joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6", size = 301817 }, ] -[[package]] -name = "jsonpatch" -version = "1.33" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "jsonpointer" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/42/78/18813351fe5d63acad16aec57f94ec2b70a09e53ca98145589e185423873/jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c", size = 21699 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/73/07/02e16ed01e04a374e644b575638ec7987ae846d25ad97bcc9945a3ee4b0e/jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade", size = 12898 }, -] - [[package]] name = "jsonpath-ng" version = "1.7.0" @@ -2063,24 +1408,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/35/5a/73ecb3d82f8615f32ccdadeb9356726d6cae3a4bbc840b437ceb95708063/jsonpath_ng-1.7.0-py3-none-any.whl", hash = "sha256:f3d7f9e848cba1b6da28c55b1c26ff915dc9e0b1ba7e752a53d6da8d5cbd00b6", size = 30105 }, ] -[[package]] -name = "jsonpath-python" -version = "1.0.6" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b5/49/e582e50b0c54c1b47e714241c4a4767bf28758bf90212248aea8e1ce8516/jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666", size = 18121 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/16/8a/d63959f4eff03893a00e6e63592e3a9f15b9266ed8e0275ab77f8c7dbc94/jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575", size = 7552 }, -] - -[[package]] -name = "jsonpointer" -version = "3.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6a/0a/eebeb1fa92507ea94016a2a790b93c2ae41a7e18778f85471dc54475ed25/jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef", size = 9114 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942", size = 7595 }, -] - [[package]] name = "jsonschema" version = "4.23.0" @@ -2110,80 +1437,89 @@ wheels = [ [[package]] name = "kiwisolver" -version = "1.4.7" +version = "1.4.8" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/85/4d/2255e1c76304cbd60b48cee302b66d1dde4468dc5b1160e4b7cb43778f2a/kiwisolver-1.4.7.tar.gz", hash = "sha256:9893ff81bd7107f7b685d3017cc6583daadb4fc26e4a888350df530e41980a60", size = 97286 } +sdist = { url = "https://files.pythonhosted.org/packages/82/59/7c91426a8ac292e1cdd53a63b6d9439abd573c875c3f92c146767dd33faf/kiwisolver-1.4.8.tar.gz", hash = "sha256:23d5f023bdc8c7e54eb65f03ca5d5bb25b601eac4d7f1a042888a1f45237987e", size = 97538 } wheels = [ - { url = "https://files.pythonhosted.org/packages/97/14/fc943dd65268a96347472b4fbe5dcc2f6f55034516f80576cd0dd3a8930f/kiwisolver-1.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8a9c83f75223d5e48b0bc9cb1bf2776cf01563e00ade8775ffe13b0b6e1af3a6", size = 122440 }, - { url = "https://files.pythonhosted.org/packages/1e/46/e68fed66236b69dd02fcdb506218c05ac0e39745d696d22709498896875d/kiwisolver-1.4.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58370b1ffbd35407444d57057b57da5d6549d2d854fa30249771775c63b5fe17", size = 65758 }, - { url = "https://files.pythonhosted.org/packages/ef/fa/65de49c85838681fc9cb05de2a68067a683717321e01ddafb5b8024286f0/kiwisolver-1.4.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:aa0abdf853e09aff551db11fce173e2177d00786c688203f52c87ad7fcd91ef9", size = 64311 }, - { url = "https://files.pythonhosted.org/packages/42/9c/cc8d90f6ef550f65443bad5872ffa68f3dee36de4974768628bea7c14979/kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8d53103597a252fb3ab8b5845af04c7a26d5e7ea8122303dd7a021176a87e8b9", size = 1637109 }, - { url = "https://files.pythonhosted.org/packages/55/91/0a57ce324caf2ff5403edab71c508dd8f648094b18cfbb4c8cc0fde4a6ac/kiwisolver-1.4.7-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:88f17c5ffa8e9462fb79f62746428dd57b46eb931698e42e990ad63103f35e6c", size = 1617814 }, - { url = "https://files.pythonhosted.org/packages/12/5d/c36140313f2510e20207708adf36ae4919416d697ee0236b0ddfb6fd1050/kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88a9ca9c710d598fd75ee5de59d5bda2684d9db36a9f50b6125eaea3969c2599", size = 1400881 }, - { url = "https://files.pythonhosted.org/packages/56/d0/786e524f9ed648324a466ca8df86298780ef2b29c25313d9a4f16992d3cf/kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f4d742cb7af1c28303a51b7a27aaee540e71bb8e24f68c736f6f2ffc82f2bf05", size = 1512972 }, - { url = "https://files.pythonhosted.org/packages/67/5a/77851f2f201e6141d63c10a0708e996a1363efaf9e1609ad0441b343763b/kiwisolver-1.4.7-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e28c7fea2196bf4c2f8d46a0415c77a1c480cc0724722f23d7410ffe9842c407", size = 1444787 }, - { url = "https://files.pythonhosted.org/packages/06/5f/1f5eaab84355885e224a6fc8d73089e8713dc7e91c121f00b9a1c58a2195/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e968b84db54f9d42046cf154e02911e39c0435c9801681e3fc9ce8a3c4130278", size = 2199212 }, - { url = "https://files.pythonhosted.org/packages/b5/28/9152a3bfe976a0ae21d445415defc9d1cd8614b2910b7614b30b27a47270/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:0c18ec74c0472de033e1bebb2911c3c310eef5649133dd0bedf2a169a1b269e5", size = 2346399 }, - { url = "https://files.pythonhosted.org/packages/26/f6/453d1904c52ac3b400f4d5e240ac5fec25263716723e44be65f4d7149d13/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8f0ea6da6d393d8b2e187e6a5e3fb81f5862010a40c3945e2c6d12ae45cfb2ad", size = 2308688 }, - { url = "https://files.pythonhosted.org/packages/5a/9a/d4968499441b9ae187e81745e3277a8b4d7c60840a52dc9d535a7909fac3/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:f106407dda69ae456dd1227966bf445b157ccc80ba0dff3802bb63f30b74e895", size = 2445493 }, - { url = "https://files.pythonhosted.org/packages/07/c9/032267192e7828520dacb64dfdb1d74f292765f179e467c1cba97687f17d/kiwisolver-1.4.7-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:84ec80df401cfee1457063732d90022f93951944b5b58975d34ab56bb150dfb3", size = 2262191 }, - { url = "https://files.pythonhosted.org/packages/6c/ad/db0aedb638a58b2951da46ddaeecf204be8b4f5454df020d850c7fa8dca8/kiwisolver-1.4.7-cp310-cp310-win32.whl", hash = "sha256:71bb308552200fb2c195e35ef05de12f0c878c07fc91c270eb3d6e41698c3bcc", size = 46644 }, - { url = "https://files.pythonhosted.org/packages/12/ca/d0f7b7ffbb0be1e7c2258b53554efec1fd652921f10d7d85045aff93ab61/kiwisolver-1.4.7-cp310-cp310-win_amd64.whl", hash = "sha256:44756f9fd339de0fb6ee4f8c1696cfd19b2422e0d70b4cefc1cc7f1f64045a8c", size = 55877 }, - { url = "https://files.pythonhosted.org/packages/97/6c/cfcc128672f47a3e3c0d918ecb67830600078b025bfc32d858f2e2d5c6a4/kiwisolver-1.4.7-cp310-cp310-win_arm64.whl", hash = "sha256:78a42513018c41c2ffd262eb676442315cbfe3c44eed82385c2ed043bc63210a", size = 48347 }, - { url = "https://files.pythonhosted.org/packages/e9/44/77429fa0a58f941d6e1c58da9efe08597d2e86bf2b2cce6626834f49d07b/kiwisolver-1.4.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d2b0e12a42fb4e72d509fc994713d099cbb15ebf1103545e8a45f14da2dfca54", size = 122442 }, - { url = "https://files.pythonhosted.org/packages/e5/20/8c75caed8f2462d63c7fd65e16c832b8f76cda331ac9e615e914ee80bac9/kiwisolver-1.4.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2a8781ac3edc42ea4b90bc23e7d37b665d89423818e26eb6df90698aa2287c95", size = 65762 }, - { url = "https://files.pythonhosted.org/packages/f4/98/fe010f15dc7230f45bc4cf367b012d651367fd203caaa992fd1f5963560e/kiwisolver-1.4.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:46707a10836894b559e04b0fd143e343945c97fd170d69a2d26d640b4e297935", size = 64319 }, - { url = "https://files.pythonhosted.org/packages/8b/1b/b5d618f4e58c0675654c1e5051bcf42c776703edb21c02b8c74135541f60/kiwisolver-1.4.7-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef97b8df011141c9b0f6caf23b29379f87dd13183c978a30a3c546d2c47314cb", size = 1334260 }, - { url = "https://files.pythonhosted.org/packages/b8/01/946852b13057a162a8c32c4c8d2e9ed79f0bb5d86569a40c0b5fb103e373/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ab58c12a2cd0fc769089e6d38466c46d7f76aced0a1f54c77652446733d2d02", size = 1426589 }, - { url = "https://files.pythonhosted.org/packages/70/d1/c9f96df26b459e15cf8a965304e6e6f4eb291e0f7a9460b4ad97b047561e/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:803b8e1459341c1bb56d1c5c010406d5edec8a0713a0945851290a7930679b51", size = 1541080 }, - { url = "https://files.pythonhosted.org/packages/d3/73/2686990eb8b02d05f3de759d6a23a4ee7d491e659007dd4c075fede4b5d0/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f9a9e8a507420fe35992ee9ecb302dab68550dedc0da9e2880dd88071c5fb052", size = 1470049 }, - { url = "https://files.pythonhosted.org/packages/a7/4b/2db7af3ed3af7c35f388d5f53c28e155cd402a55432d800c543dc6deb731/kiwisolver-1.4.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18077b53dc3bb490e330669a99920c5e6a496889ae8c63b58fbc57c3d7f33a18", size = 1426376 }, - { url = "https://files.pythonhosted.org/packages/05/83/2857317d04ea46dc5d115f0df7e676997bbd968ced8e2bd6f7f19cfc8d7f/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6af936f79086a89b3680a280c47ea90b4df7047b5bdf3aa5c524bbedddb9e545", size = 2222231 }, - { url = "https://files.pythonhosted.org/packages/0d/b5/866f86f5897cd4ab6d25d22e403404766a123f138bd6a02ecb2cdde52c18/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:3abc5b19d24af4b77d1598a585b8a719beb8569a71568b66f4ebe1fb0449460b", size = 2368634 }, - { url = "https://files.pythonhosted.org/packages/c1/ee/73de8385403faba55f782a41260210528fe3273d0cddcf6d51648202d6d0/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:933d4de052939d90afbe6e9d5273ae05fb836cc86c15b686edd4b3560cc0ee36", size = 2329024 }, - { url = "https://files.pythonhosted.org/packages/a1/e7/cd101d8cd2cdfaa42dc06c433df17c8303d31129c9fdd16c0ea37672af91/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:65e720d2ab2b53f1f72fb5da5fb477455905ce2c88aaa671ff0a447c2c80e8e3", size = 2468484 }, - { url = "https://files.pythonhosted.org/packages/e1/72/84f09d45a10bc57a40bb58b81b99d8f22b58b2040c912b7eb97ebf625bf2/kiwisolver-1.4.7-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3bf1ed55088f214ba6427484c59553123fdd9b218a42bbc8c6496d6754b1e523", size = 2284078 }, - { url = "https://files.pythonhosted.org/packages/d2/d4/71828f32b956612dc36efd7be1788980cb1e66bfb3706e6dec9acad9b4f9/kiwisolver-1.4.7-cp311-cp311-win32.whl", hash = "sha256:4c00336b9dd5ad96d0a558fd18a8b6f711b7449acce4c157e7343ba92dd0cf3d", size = 46645 }, - { url = "https://files.pythonhosted.org/packages/a1/65/d43e9a20aabcf2e798ad1aff6c143ae3a42cf506754bcb6a7ed8259c8425/kiwisolver-1.4.7-cp311-cp311-win_amd64.whl", hash = "sha256:929e294c1ac1e9f615c62a4e4313ca1823ba37326c164ec720a803287c4c499b", size = 56022 }, - { url = "https://files.pythonhosted.org/packages/35/b3/9f75a2e06f1b4ca00b2b192bc2b739334127d27f1d0625627ff8479302ba/kiwisolver-1.4.7-cp311-cp311-win_arm64.whl", hash = "sha256:e33e8fbd440c917106b237ef1a2f1449dfbb9b6f6e1ce17c94cd6a1e0d438376", size = 48536 }, - { url = "https://files.pythonhosted.org/packages/97/9c/0a11c714cf8b6ef91001c8212c4ef207f772dd84540104952c45c1f0a249/kiwisolver-1.4.7-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:5360cc32706dab3931f738d3079652d20982511f7c0ac5711483e6eab08efff2", size = 121808 }, - { url = "https://files.pythonhosted.org/packages/f2/d8/0fe8c5f5d35878ddd135f44f2af0e4e1d379e1c7b0716f97cdcb88d4fd27/kiwisolver-1.4.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:942216596dc64ddb25adb215c3c783215b23626f8d84e8eff8d6d45c3f29f75a", size = 65531 }, - { url = "https://files.pythonhosted.org/packages/80/c5/57fa58276dfdfa612241d640a64ca2f76adc6ffcebdbd135b4ef60095098/kiwisolver-1.4.7-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:48b571ecd8bae15702e4f22d3ff6a0f13e54d3d00cd25216d5e7f658242065ee", size = 63894 }, - { url = "https://files.pythonhosted.org/packages/8b/e9/26d3edd4c4ad1c5b891d8747a4f81b1b0aba9fb9721de6600a4adc09773b/kiwisolver-1.4.7-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ad42ba922c67c5f219097b28fae965e10045ddf145d2928bfac2eb2e17673640", size = 1369296 }, - { url = "https://files.pythonhosted.org/packages/b6/67/3f4850b5e6cffb75ec40577ddf54f7b82b15269cc5097ff2e968ee32ea7d/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:612a10bdae23404a72941a0fc8fa2660c6ea1217c4ce0dbcab8a8f6543ea9e7f", size = 1461450 }, - { url = "https://files.pythonhosted.org/packages/52/be/86cbb9c9a315e98a8dc6b1d23c43cffd91d97d49318854f9c37b0e41cd68/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9e838bba3a3bac0fe06d849d29772eb1afb9745a59710762e4ba3f4cb8424483", size = 1579168 }, - { url = "https://files.pythonhosted.org/packages/0f/00/65061acf64bd5fd34c1f4ae53f20b43b0a017a541f242a60b135b9d1e301/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22f499f6157236c19f4bbbd472fa55b063db77a16cd74d49afe28992dff8c258", size = 1507308 }, - { url = "https://files.pythonhosted.org/packages/21/e4/c0b6746fd2eb62fe702118b3ca0cb384ce95e1261cfada58ff693aeec08a/kiwisolver-1.4.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693902d433cf585133699972b6d7c42a8b9f8f826ebcaf0132ff55200afc599e", size = 1464186 }, - { url = "https://files.pythonhosted.org/packages/0a/0f/529d0a9fffb4d514f2782c829b0b4b371f7f441d61aa55f1de1c614c4ef3/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4e77f2126c3e0b0d055f44513ed349038ac180371ed9b52fe96a32aa071a5107", size = 2247877 }, - { url = "https://files.pythonhosted.org/packages/d1/e1/66603ad779258843036d45adcbe1af0d1a889a07af4635f8b4ec7dccda35/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:657a05857bda581c3656bfc3b20e353c232e9193eb167766ad2dc58b56504948", size = 2404204 }, - { url = "https://files.pythonhosted.org/packages/8d/61/de5fb1ca7ad1f9ab7970e340a5b833d735df24689047de6ae71ab9d8d0e7/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:4bfa75a048c056a411f9705856abfc872558e33c055d80af6a380e3658766038", size = 2352461 }, - { url = "https://files.pythonhosted.org/packages/ba/d2/0edc00a852e369827f7e05fd008275f550353f1f9bcd55db9363d779fc63/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:34ea1de54beef1c104422d210c47c7d2a4999bdecf42c7b5718fbe59a4cac383", size = 2501358 }, - { url = "https://files.pythonhosted.org/packages/84/15/adc15a483506aec6986c01fb7f237c3aec4d9ed4ac10b756e98a76835933/kiwisolver-1.4.7-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:90da3b5f694b85231cf93586dad5e90e2d71b9428f9aad96952c99055582f520", size = 2314119 }, - { url = "https://files.pythonhosted.org/packages/36/08/3a5bb2c53c89660863a5aa1ee236912269f2af8762af04a2e11df851d7b2/kiwisolver-1.4.7-cp312-cp312-win32.whl", hash = "sha256:18e0cca3e008e17fe9b164b55735a325140a5a35faad8de92dd80265cd5eb80b", size = 46367 }, - { url = "https://files.pythonhosted.org/packages/19/93/c05f0a6d825c643779fc3c70876bff1ac221f0e31e6f701f0e9578690d70/kiwisolver-1.4.7-cp312-cp312-win_amd64.whl", hash = "sha256:58cb20602b18f86f83a5c87d3ee1c766a79c0d452f8def86d925e6c60fbf7bfb", size = 55884 }, - { url = "https://files.pythonhosted.org/packages/d2/f9/3828d8f21b6de4279f0667fb50a9f5215e6fe57d5ec0d61905914f5b6099/kiwisolver-1.4.7-cp312-cp312-win_arm64.whl", hash = "sha256:f5a8b53bdc0b3961f8b6125e198617c40aeed638b387913bf1ce78afb1b0be2a", size = 48528 }, - { url = "https://files.pythonhosted.org/packages/c4/06/7da99b04259b0f18b557a4effd1b9c901a747f7fdd84cf834ccf520cb0b2/kiwisolver-1.4.7-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:2e6039dcbe79a8e0f044f1c39db1986a1b8071051efba3ee4d74f5b365f5226e", size = 121913 }, - { url = "https://files.pythonhosted.org/packages/97/f5/b8a370d1aa593c17882af0a6f6755aaecd643640c0ed72dcfd2eafc388b9/kiwisolver-1.4.7-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a1ecf0ac1c518487d9d23b1cd7139a6a65bc460cd101ab01f1be82ecf09794b6", size = 65627 }, - { url = "https://files.pythonhosted.org/packages/2a/fc/6c0374f7503522539e2d4d1b497f5ebad3f8ed07ab51aed2af988dd0fb65/kiwisolver-1.4.7-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7ab9ccab2b5bd5702ab0803676a580fffa2aa178c2badc5557a84cc943fcf750", size = 63888 }, - { url = "https://files.pythonhosted.org/packages/bf/3e/0b7172793d0f41cae5c923492da89a2ffcd1adf764c16159ca047463ebd3/kiwisolver-1.4.7-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f816dd2277f8d63d79f9c8473a79fe54047bc0467754962840782c575522224d", size = 1369145 }, - { url = "https://files.pythonhosted.org/packages/77/92/47d050d6f6aced2d634258123f2688fbfef8ded3c5baf2c79d94d91f1f58/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf8bcc23ceb5a1b624572a1623b9f79d2c3b337c8c455405ef231933a10da379", size = 1461448 }, - { url = "https://files.pythonhosted.org/packages/9c/1b/8f80b18e20b3b294546a1adb41701e79ae21915f4175f311a90d042301cf/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dea0bf229319828467d7fca8c7c189780aa9ff679c94539eed7532ebe33ed37c", size = 1578750 }, - { url = "https://files.pythonhosted.org/packages/a4/fe/fe8e72f3be0a844f257cadd72689c0848c6d5c51bc1d60429e2d14ad776e/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c06a4c7cf15ec739ce0e5971b26c93638730090add60e183530d70848ebdd34", size = 1507175 }, - { url = "https://files.pythonhosted.org/packages/39/fa/cdc0b6105d90eadc3bee525fecc9179e2b41e1ce0293caaf49cb631a6aaf/kiwisolver-1.4.7-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:913983ad2deb14e66d83c28b632fd35ba2b825031f2fa4ca29675e665dfecbe1", size = 1463963 }, - { url = "https://files.pythonhosted.org/packages/6e/5c/0c03c4e542720c6177d4f408e56d1c8315899db72d46261a4e15b8b33a41/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5337ec7809bcd0f424c6b705ecf97941c46279cf5ed92311782c7c9c2026f07f", size = 2248220 }, - { url = "https://files.pythonhosted.org/packages/3d/ee/55ef86d5a574f4e767df7da3a3a7ff4954c996e12d4fbe9c408170cd7dcc/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:4c26ed10c4f6fa6ddb329a5120ba3b6db349ca192ae211e882970bfc9d91420b", size = 2404463 }, - { url = "https://files.pythonhosted.org/packages/0f/6d/73ad36170b4bff4825dc588acf4f3e6319cb97cd1fb3eb04d9faa6b6f212/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c619b101e6de2222c1fcb0531e1b17bbffbe54294bfba43ea0d411d428618c27", size = 2352842 }, - { url = "https://files.pythonhosted.org/packages/0b/16/fa531ff9199d3b6473bb4d0f47416cdb08d556c03b8bc1cccf04e756b56d/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:073a36c8273647592ea332e816e75ef8da5c303236ec0167196793eb1e34657a", size = 2501635 }, - { url = "https://files.pythonhosted.org/packages/78/7e/aa9422e78419db0cbe75fb86d8e72b433818f2e62e2e394992d23d23a583/kiwisolver-1.4.7-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:3ce6b2b0231bda412463e152fc18335ba32faf4e8c23a754ad50ffa70e4091ee", size = 2314556 }, - { url = "https://files.pythonhosted.org/packages/a8/b2/15f7f556df0a6e5b3772a1e076a9d9f6c538ce5f05bd590eca8106508e06/kiwisolver-1.4.7-cp313-cp313-win32.whl", hash = "sha256:f4c9aee212bc89d4e13f58be11a56cc8036cabad119259d12ace14b34476fd07", size = 46364 }, - { url = "https://files.pythonhosted.org/packages/0b/db/32e897e43a330eee8e4770bfd2737a9584b23e33587a0812b8e20aac38f7/kiwisolver-1.4.7-cp313-cp313-win_amd64.whl", hash = "sha256:8a3ec5aa8e38fc4c8af308917ce12c536f1c88452ce554027e55b22cbbfbff76", size = 55887 }, - { url = "https://files.pythonhosted.org/packages/c8/a4/df2bdca5270ca85fd25253049eb6708d4127be2ed0e5c2650217450b59e9/kiwisolver-1.4.7-cp313-cp313-win_arm64.whl", hash = "sha256:76c8094ac20ec259471ac53e774623eb62e6e1f56cd8690c67ce6ce4fcb05650", size = 48530 }, - { url = "https://files.pythonhosted.org/packages/ac/59/741b79775d67ab67ced9bb38552da688c0305c16e7ee24bba7a2be253fb7/kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:94252291e3fe68001b1dd747b4c0b3be12582839b95ad4d1b641924d68fd4643", size = 59491 }, - { url = "https://files.pythonhosted.org/packages/58/cc/fb239294c29a5656e99e3527f7369b174dd9cc7c3ef2dea7cb3c54a8737b/kiwisolver-1.4.7-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:5b7dfa3b546da08a9f622bb6becdb14b3e24aaa30adba66749d38f3cc7ea9706", size = 57648 }, - { url = "https://files.pythonhosted.org/packages/3b/ef/2f009ac1f7aab9f81efb2d837301d255279d618d27b6015780115ac64bdd/kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bd3de6481f4ed8b734da5df134cd5a6a64fe32124fe83dde1e5b5f29fe30b1e6", size = 84257 }, - { url = "https://files.pythonhosted.org/packages/81/e1/c64f50987f85b68b1c52b464bb5bf73e71570c0f7782d626d1eb283ad620/kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a91b5f9f1205845d488c928e8570dcb62b893372f63b8b6e98b863ebd2368ff2", size = 80906 }, - { url = "https://files.pythonhosted.org/packages/fd/71/1687c5c0a0be2cee39a5c9c389e546f9c6e215e46b691d00d9f646892083/kiwisolver-1.4.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40fa14dbd66b8b8f470d5fc79c089a66185619d31645f9b0773b88b19f7223c4", size = 79951 }, - { url = "https://files.pythonhosted.org/packages/ea/8b/d7497df4a1cae9367adf21665dd1f896c2a7aeb8769ad77b662c5e2bcce7/kiwisolver-1.4.7-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:eb542fe7933aa09d8d8f9d9097ef37532a7df6497819d16efe4359890a2f417a", size = 55715 }, + { url = "https://files.pythonhosted.org/packages/47/5f/4d8e9e852d98ecd26cdf8eaf7ed8bc33174033bba5e07001b289f07308fd/kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db", size = 124623 }, + { url = "https://files.pythonhosted.org/packages/1d/70/7f5af2a18a76fe92ea14675f8bd88ce53ee79e37900fa5f1a1d8e0b42998/kiwisolver-1.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72941acb7b67138f35b879bbe85be0f6c6a70cab78fe3ef6db9c024d9223e5b", size = 66720 }, + { url = "https://files.pythonhosted.org/packages/c6/13/e15f804a142353aefd089fadc8f1d985561a15358c97aca27b0979cb0785/kiwisolver-1.4.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ce2cf1e5688edcb727fdf7cd1bbd0b6416758996826a8be1d958f91880d0809d", size = 65413 }, + { url = "https://files.pythonhosted.org/packages/ce/6d/67d36c4d2054e83fb875c6b59d0809d5c530de8148846b1370475eeeece9/kiwisolver-1.4.8-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:c8bf637892dc6e6aad2bc6d4d69d08764166e5e3f69d469e55427b6ac001b19d", size = 1650826 }, + { url = "https://files.pythonhosted.org/packages/de/c6/7b9bb8044e150d4d1558423a1568e4f227193662a02231064e3824f37e0a/kiwisolver-1.4.8-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:034d2c891f76bd3edbdb3ea11140d8510dca675443da7304205a2eaa45d8334c", size = 1628231 }, + { url = "https://files.pythonhosted.org/packages/b6/38/ad10d437563063eaaedbe2c3540a71101fc7fb07a7e71f855e93ea4de605/kiwisolver-1.4.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d47b28d1dfe0793d5e96bce90835e17edf9a499b53969b03c6c47ea5985844c3", size = 1408938 }, + { url = "https://files.pythonhosted.org/packages/52/ce/c0106b3bd7f9e665c5f5bc1e07cc95b5dabd4e08e3dad42dbe2faad467e7/kiwisolver-1.4.8-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eb158fe28ca0c29f2260cca8c43005329ad58452c36f0edf298204de32a9a3ed", size = 1422799 }, + { url = "https://files.pythonhosted.org/packages/d0/87/efb704b1d75dc9758087ba374c0f23d3254505edaedd09cf9d247f7878b9/kiwisolver-1.4.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5536185fce131780ebd809f8e623bf4030ce1b161353166c49a3c74c287897f", size = 1354362 }, + { url = "https://files.pythonhosted.org/packages/eb/b3/fd760dc214ec9a8f208b99e42e8f0130ff4b384eca8b29dd0efc62052176/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:369b75d40abedc1da2c1f4de13f3482cb99e3237b38726710f4a793432b1c5ff", size = 2222695 }, + { url = "https://files.pythonhosted.org/packages/a2/09/a27fb36cca3fc01700687cc45dae7a6a5f8eeb5f657b9f710f788748e10d/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:641f2ddf9358c80faa22e22eb4c9f54bd3f0e442e038728f500e3b978d00aa7d", size = 2370802 }, + { url = "https://files.pythonhosted.org/packages/3d/c3/ba0a0346db35fe4dc1f2f2cf8b99362fbb922d7562e5f911f7ce7a7b60fa/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:d561d2d8883e0819445cfe58d7ddd673e4015c3c57261d7bdcd3710d0d14005c", size = 2334646 }, + { url = "https://files.pythonhosted.org/packages/41/52/942cf69e562f5ed253ac67d5c92a693745f0bed3c81f49fc0cbebe4d6b00/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:1732e065704b47c9afca7ffa272f845300a4eb959276bf6970dc07265e73b605", size = 2467260 }, + { url = "https://files.pythonhosted.org/packages/32/26/2d9668f30d8a494b0411d4d7d4ea1345ba12deb6a75274d58dd6ea01e951/kiwisolver-1.4.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:bcb1ebc3547619c3b58a39e2448af089ea2ef44b37988caf432447374941574e", size = 2288633 }, + { url = "https://files.pythonhosted.org/packages/98/99/0dd05071654aa44fe5d5e350729961e7bb535372935a45ac89a8924316e6/kiwisolver-1.4.8-cp310-cp310-win_amd64.whl", hash = "sha256:89c107041f7b27844179ea9c85d6da275aa55ecf28413e87624d033cf1f6b751", size = 71885 }, + { url = "https://files.pythonhosted.org/packages/6c/fc/822e532262a97442989335394d441cd1d0448c2e46d26d3e04efca84df22/kiwisolver-1.4.8-cp310-cp310-win_arm64.whl", hash = "sha256:b5773efa2be9eb9fcf5415ea3ab70fc785d598729fd6057bea38d539ead28271", size = 65175 }, + { url = "https://files.pythonhosted.org/packages/da/ed/c913ee28936c371418cb167b128066ffb20bbf37771eecc2c97edf8a6e4c/kiwisolver-1.4.8-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a4d3601908c560bdf880f07d94f31d734afd1bb71e96585cace0e38ef44c6d84", size = 124635 }, + { url = "https://files.pythonhosted.org/packages/4c/45/4a7f896f7467aaf5f56ef093d1f329346f3b594e77c6a3c327b2d415f521/kiwisolver-1.4.8-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:856b269c4d28a5c0d5e6c1955ec36ebfd1651ac00e1ce0afa3e28da95293b561", size = 66717 }, + { url = "https://files.pythonhosted.org/packages/5f/b4/c12b3ac0852a3a68f94598d4c8d569f55361beef6159dce4e7b624160da2/kiwisolver-1.4.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c2b9a96e0f326205af81a15718a9073328df1173a2619a68553decb7097fd5d7", size = 65413 }, + { url = "https://files.pythonhosted.org/packages/a9/98/1df4089b1ed23d83d410adfdc5947245c753bddfbe06541c4aae330e9e70/kiwisolver-1.4.8-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c5020c83e8553f770cb3b5fc13faac40f17e0b205bd237aebd21d53d733adb03", size = 1343994 }, + { url = "https://files.pythonhosted.org/packages/8d/bf/b4b169b050c8421a7c53ea1ea74e4ef9c335ee9013216c558a047f162d20/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dace81d28c787956bfbfbbfd72fdcef014f37d9b48830829e488fdb32b49d954", size = 1434804 }, + { url = "https://files.pythonhosted.org/packages/66/5a/e13bd341fbcf73325ea60fdc8af752addf75c5079867af2e04cc41f34434/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11e1022b524bd48ae56c9b4f9296bce77e15a2e42a502cceba602f804b32bb79", size = 1450690 }, + { url = "https://files.pythonhosted.org/packages/9b/4f/5955dcb376ba4a830384cc6fab7d7547bd6759fe75a09564910e9e3bb8ea/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b9b4d2892fefc886f30301cdd80debd8bb01ecdf165a449eb6e78f79f0fabd6", size = 1376839 }, + { url = "https://files.pythonhosted.org/packages/3a/97/5edbed69a9d0caa2e4aa616ae7df8127e10f6586940aa683a496c2c280b9/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a96c0e790ee875d65e340ab383700e2b4891677b7fcd30a699146f9384a2bb0", size = 1435109 }, + { url = "https://files.pythonhosted.org/packages/13/fc/e756382cb64e556af6c1809a1bbb22c141bbc2445049f2da06b420fe52bf/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:23454ff084b07ac54ca8be535f4174170c1094a4cff78fbae4f73a4bcc0d4dab", size = 2245269 }, + { url = "https://files.pythonhosted.org/packages/76/15/e59e45829d7f41c776d138245cabae6515cb4eb44b418f6d4109c478b481/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:87b287251ad6488e95b4f0b4a79a6d04d3ea35fde6340eb38fbd1ca9cd35bbbc", size = 2393468 }, + { url = "https://files.pythonhosted.org/packages/e9/39/483558c2a913ab8384d6e4b66a932406f87c95a6080112433da5ed668559/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:b21dbe165081142b1232a240fc6383fd32cdd877ca6cc89eab93e5f5883e1c25", size = 2355394 }, + { url = "https://files.pythonhosted.org/packages/01/aa/efad1fbca6570a161d29224f14b082960c7e08268a133fe5dc0f6906820e/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:768cade2c2df13db52475bd28d3a3fac8c9eff04b0e9e2fda0f3760f20b3f7fc", size = 2490901 }, + { url = "https://files.pythonhosted.org/packages/c9/4f/15988966ba46bcd5ab9d0c8296914436720dd67fca689ae1a75b4ec1c72f/kiwisolver-1.4.8-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d47cfb2650f0e103d4bf68b0b5804c68da97272c84bb12850d877a95c056bd67", size = 2312306 }, + { url = "https://files.pythonhosted.org/packages/2d/27/bdf1c769c83f74d98cbc34483a972f221440703054894a37d174fba8aa68/kiwisolver-1.4.8-cp311-cp311-win_amd64.whl", hash = "sha256:ed33ca2002a779a2e20eeb06aea7721b6e47f2d4b8a8ece979d8ba9e2a167e34", size = 71966 }, + { url = "https://files.pythonhosted.org/packages/4a/c9/9642ea855604aeb2968a8e145fc662edf61db7632ad2e4fb92424be6b6c0/kiwisolver-1.4.8-cp311-cp311-win_arm64.whl", hash = "sha256:16523b40aab60426ffdebe33ac374457cf62863e330a90a0383639ce14bf44b2", size = 65311 }, + { url = "https://files.pythonhosted.org/packages/fc/aa/cea685c4ab647f349c3bc92d2daf7ae34c8e8cf405a6dcd3a497f58a2ac3/kiwisolver-1.4.8-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:d6af5e8815fd02997cb6ad9bbed0ee1e60014438ee1a5c2444c96f87b8843502", size = 124152 }, + { url = "https://files.pythonhosted.org/packages/c5/0b/8db6d2e2452d60d5ebc4ce4b204feeb16176a851fd42462f66ade6808084/kiwisolver-1.4.8-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:bade438f86e21d91e0cf5dd7c0ed00cda0f77c8c1616bd83f9fc157fa6760d31", size = 66555 }, + { url = "https://files.pythonhosted.org/packages/60/26/d6a0db6785dd35d3ba5bf2b2df0aedc5af089962c6eb2cbf67a15b81369e/kiwisolver-1.4.8-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b83dc6769ddbc57613280118fb4ce3cd08899cc3369f7d0e0fab518a7cf37fdb", size = 65067 }, + { url = "https://files.pythonhosted.org/packages/c9/ed/1d97f7e3561e09757a196231edccc1bcf59d55ddccefa2afc9c615abd8e0/kiwisolver-1.4.8-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:111793b232842991be367ed828076b03d96202c19221b5ebab421ce8bcad016f", size = 1378443 }, + { url = "https://files.pythonhosted.org/packages/29/61/39d30b99954e6b46f760e6289c12fede2ab96a254c443639052d1b573fbc/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:257af1622860e51b1a9d0ce387bf5c2c4f36a90594cb9514f55b074bcc787cfc", size = 1472728 }, + { url = "https://files.pythonhosted.org/packages/0c/3e/804163b932f7603ef256e4a715e5843a9600802bb23a68b4e08c8c0ff61d/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:69b5637c3f316cab1ec1c9a12b8c5f4750a4c4b71af9157645bf32830e39c03a", size = 1478388 }, + { url = "https://files.pythonhosted.org/packages/8a/9e/60eaa75169a154700be74f875a4d9961b11ba048bef315fbe89cb6999056/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:782bb86f245ec18009890e7cb8d13a5ef54dcf2ebe18ed65f795e635a96a1c6a", size = 1413849 }, + { url = "https://files.pythonhosted.org/packages/bc/b3/9458adb9472e61a998c8c4d95cfdfec91c73c53a375b30b1428310f923e4/kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cc978a80a0db3a66d25767b03688f1147a69e6237175c0f4ffffaaedf744055a", size = 1475533 }, + { url = "https://files.pythonhosted.org/packages/e4/7a/0a42d9571e35798de80aef4bb43a9b672aa7f8e58643d7bd1950398ffb0a/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:36dbbfd34838500a31f52c9786990d00150860e46cd5041386f217101350f0d3", size = 2268898 }, + { url = "https://files.pythonhosted.org/packages/d9/07/1255dc8d80271400126ed8db35a1795b1a2c098ac3a72645075d06fe5c5d/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:eaa973f1e05131de5ff3569bbba7f5fd07ea0595d3870ed4a526d486fe57fa1b", size = 2425605 }, + { url = "https://files.pythonhosted.org/packages/84/df/5a3b4cf13780ef6f6942df67b138b03b7e79e9f1f08f57c49957d5867f6e/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:a66f60f8d0c87ab7f59b6fb80e642ebb29fec354a4dfad687ca4092ae69d04f4", size = 2375801 }, + { url = "https://files.pythonhosted.org/packages/8f/10/2348d068e8b0f635c8c86892788dac7a6b5c0cb12356620ab575775aad89/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:858416b7fb777a53f0c59ca08190ce24e9abbd3cffa18886a5781b8e3e26f65d", size = 2520077 }, + { url = "https://files.pythonhosted.org/packages/32/d8/014b89fee5d4dce157d814303b0fce4d31385a2af4c41fed194b173b81ac/kiwisolver-1.4.8-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:085940635c62697391baafaaeabdf3dd7a6c3643577dde337f4d66eba021b2b8", size = 2338410 }, + { url = "https://files.pythonhosted.org/packages/bd/72/dfff0cc97f2a0776e1c9eb5bef1ddfd45f46246c6533b0191887a427bca5/kiwisolver-1.4.8-cp312-cp312-win_amd64.whl", hash = "sha256:01c3d31902c7db5fb6182832713d3b4122ad9317c2c5877d0539227d96bb2e50", size = 71853 }, + { url = "https://files.pythonhosted.org/packages/dc/85/220d13d914485c0948a00f0b9eb419efaf6da81b7d72e88ce2391f7aed8d/kiwisolver-1.4.8-cp312-cp312-win_arm64.whl", hash = "sha256:a3c44cb68861de93f0c4a8175fbaa691f0aa22550c331fefef02b618a9dcb476", size = 65424 }, + { url = "https://files.pythonhosted.org/packages/79/b3/e62464a652f4f8cd9006e13d07abad844a47df1e6537f73ddfbf1bc997ec/kiwisolver-1.4.8-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:1c8ceb754339793c24aee1c9fb2485b5b1f5bb1c2c214ff13368431e51fc9a09", size = 124156 }, + { url = "https://files.pythonhosted.org/packages/8d/2d/f13d06998b546a2ad4f48607a146e045bbe48030774de29f90bdc573df15/kiwisolver-1.4.8-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:54a62808ac74b5e55a04a408cda6156f986cefbcf0ada13572696b507cc92fa1", size = 66555 }, + { url = "https://files.pythonhosted.org/packages/59/e3/b8bd14b0a54998a9fd1e8da591c60998dc003618cb19a3f94cb233ec1511/kiwisolver-1.4.8-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:68269e60ee4929893aad82666821aaacbd455284124817af45c11e50a4b42e3c", size = 65071 }, + { url = "https://files.pythonhosted.org/packages/f0/1c/6c86f6d85ffe4d0ce04228d976f00674f1df5dc893bf2dd4f1928748f187/kiwisolver-1.4.8-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:34d142fba9c464bc3bbfeff15c96eab0e7310343d6aefb62a79d51421fcc5f1b", size = 1378053 }, + { url = "https://files.pythonhosted.org/packages/4e/b9/1c6e9f6dcb103ac5cf87cb695845f5fa71379021500153566d8a8a9fc291/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ddc373e0eef45b59197de815b1b28ef89ae3955e7722cc9710fb91cd77b7f47", size = 1472278 }, + { url = "https://files.pythonhosted.org/packages/ee/81/aca1eb176de671f8bda479b11acdc42c132b61a2ac861c883907dde6debb/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:77e6f57a20b9bd4e1e2cedda4d0b986ebd0216236f0106e55c28aea3d3d69b16", size = 1478139 }, + { url = "https://files.pythonhosted.org/packages/49/f4/e081522473671c97b2687d380e9e4c26f748a86363ce5af48b4a28e48d06/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08e77738ed7538f036cd1170cbed942ef749137b1311fa2bbe2a7fda2f6bf3cc", size = 1413517 }, + { url = "https://files.pythonhosted.org/packages/8f/e9/6a7d025d8da8c4931522922cd706105aa32b3291d1add8c5427cdcd66e63/kiwisolver-1.4.8-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5ce1e481a74b44dd5e92ff03ea0cb371ae7a0268318e202be06c8f04f4f1246", size = 1474952 }, + { url = "https://files.pythonhosted.org/packages/82/13/13fa685ae167bee5d94b415991c4fc7bb0a1b6ebea6e753a87044b209678/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:fc2ace710ba7c1dfd1a3b42530b62b9ceed115f19a1656adefce7b1782a37794", size = 2269132 }, + { url = "https://files.pythonhosted.org/packages/ef/92/bb7c9395489b99a6cb41d502d3686bac692586db2045adc19e45ee64ed23/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:3452046c37c7692bd52b0e752b87954ef86ee2224e624ef7ce6cb21e8c41cc1b", size = 2425997 }, + { url = "https://files.pythonhosted.org/packages/ed/12/87f0e9271e2b63d35d0d8524954145837dd1a6c15b62a2d8c1ebe0f182b4/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:7e9a60b50fe8b2ec6f448fe8d81b07e40141bfced7f896309df271a0b92f80f3", size = 2376060 }, + { url = "https://files.pythonhosted.org/packages/02/6e/c8af39288edbce8bf0fa35dee427b082758a4b71e9c91ef18fa667782138/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:918139571133f366e8362fa4a297aeba86c7816b7ecf0bc79168080e2bd79957", size = 2520471 }, + { url = "https://files.pythonhosted.org/packages/13/78/df381bc7b26e535c91469f77f16adcd073beb3e2dd25042efd064af82323/kiwisolver-1.4.8-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e063ef9f89885a1d68dd8b2e18f5ead48653176d10a0e324e3b0030e3a69adeb", size = 2338793 }, + { url = "https://files.pythonhosted.org/packages/d0/dc/c1abe38c37c071d0fc71c9a474fd0b9ede05d42f5a458d584619cfd2371a/kiwisolver-1.4.8-cp313-cp313-win_amd64.whl", hash = "sha256:a17b7c4f5b2c51bb68ed379defd608a03954a1845dfed7cc0117f1cc8a9b7fd2", size = 71855 }, + { url = "https://files.pythonhosted.org/packages/a0/b6/21529d595b126ac298fdd90b705d87d4c5693de60023e0efcb4f387ed99e/kiwisolver-1.4.8-cp313-cp313-win_arm64.whl", hash = "sha256:3cd3bc628b25f74aedc6d374d5babf0166a92ff1317f46267f12d2ed54bc1d30", size = 65430 }, + { url = "https://files.pythonhosted.org/packages/34/bd/b89380b7298e3af9b39f49334e3e2a4af0e04819789f04b43d560516c0c8/kiwisolver-1.4.8-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:370fd2df41660ed4e26b8c9d6bbcad668fbe2560462cba151a721d49e5b6628c", size = 126294 }, + { url = "https://files.pythonhosted.org/packages/83/41/5857dc72e5e4148eaac5aa76e0703e594e4465f8ab7ec0fc60e3a9bb8fea/kiwisolver-1.4.8-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:84a2f830d42707de1d191b9490ac186bf7997a9495d4e9072210a1296345f7dc", size = 67736 }, + { url = "https://files.pythonhosted.org/packages/e1/d1/be059b8db56ac270489fb0b3297fd1e53d195ba76e9bbb30e5401fa6b759/kiwisolver-1.4.8-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:7a3ad337add5148cf51ce0b55642dc551c0b9d6248458a757f98796ca7348712", size = 66194 }, + { url = "https://files.pythonhosted.org/packages/e1/83/4b73975f149819eb7dcf9299ed467eba068ecb16439a98990dcb12e63fdd/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7506488470f41169b86d8c9aeff587293f530a23a23a49d6bc64dab66bedc71e", size = 1465942 }, + { url = "https://files.pythonhosted.org/packages/c7/2c/30a5cdde5102958e602c07466bce058b9d7cb48734aa7a4327261ac8e002/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f0121b07b356a22fb0414cec4666bbe36fd6d0d759db3d37228f496ed67c880", size = 1595341 }, + { url = "https://files.pythonhosted.org/packages/ff/9b/1e71db1c000385aa069704f5990574b8244cce854ecd83119c19e83c9586/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d6d6bd87df62c27d4185de7c511c6248040afae67028a8a22012b010bc7ad062", size = 1598455 }, + { url = "https://files.pythonhosted.org/packages/85/92/c8fec52ddf06231b31cbb779af77e99b8253cd96bd135250b9498144c78b/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:291331973c64bb9cce50bbe871fb2e675c4331dab4f31abe89f175ad7679a4d7", size = 1522138 }, + { url = "https://files.pythonhosted.org/packages/0b/51/9eb7e2cd07a15d8bdd976f6190c0164f92ce1904e5c0c79198c4972926b7/kiwisolver-1.4.8-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:893f5525bb92d3d735878ec00f781b2de998333659507d29ea4466208df37bed", size = 1582857 }, + { url = "https://files.pythonhosted.org/packages/0f/95/c5a00387a5405e68ba32cc64af65ce881a39b98d73cc394b24143bebc5b8/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:b47a465040146981dc9db8647981b8cb96366fbc8d452b031e4f8fdffec3f26d", size = 2293129 }, + { url = "https://files.pythonhosted.org/packages/44/83/eeb7af7d706b8347548313fa3a3a15931f404533cc54fe01f39e830dd231/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:99cea8b9dd34ff80c521aef46a1dddb0dcc0283cf18bde6d756f1e6f31772165", size = 2421538 }, + { url = "https://files.pythonhosted.org/packages/05/f9/27e94c1b3eb29e6933b6986ffc5fa1177d2cd1f0c8efc5f02c91c9ac61de/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:151dffc4865e5fe6dafce5480fab84f950d14566c480c08a53c663a0020504b6", size = 2390661 }, + { url = "https://files.pythonhosted.org/packages/d9/d4/3c9735faa36ac591a4afcc2980d2691000506050b7a7e80bcfe44048daa7/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:577facaa411c10421314598b50413aa1ebcf5126f704f1e5d72d7e4e9f020d90", size = 2546710 }, + { url = "https://files.pythonhosted.org/packages/4c/fa/be89a49c640930180657482a74970cdcf6f7072c8d2471e1babe17a222dc/kiwisolver-1.4.8-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:be4816dc51c8a471749d664161b434912eee82f2ea66bd7628bd14583a833e85", size = 2349213 }, + { url = "https://files.pythonhosted.org/packages/1f/f9/ae81c47a43e33b93b0a9819cac6723257f5da2a5a60daf46aa5c7226ea85/kiwisolver-1.4.8-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:e7a019419b7b510f0f7c9dceff8c5eae2392037eae483a7f9162625233802b0a", size = 60403 }, + { url = "https://files.pythonhosted.org/packages/58/ca/f92b5cb6f4ce0c1ebfcfe3e2e42b96917e16f7090e45b21102941924f18f/kiwisolver-1.4.8-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:286b18e86682fd2217a48fc6be6b0f20c1d0ed10958d8dc53453ad58d7be0bf8", size = 58657 }, + { url = "https://files.pythonhosted.org/packages/80/28/ae0240f732f0484d3a4dc885d055653c47144bdf59b670aae0ec3c65a7c8/kiwisolver-1.4.8-pp310-pypy310_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4191ee8dfd0be1c3666ccbac178c5a05d5f8d689bbe3fc92f3c4abec817f8fe0", size = 84948 }, + { url = "https://files.pythonhosted.org/packages/5d/eb/78d50346c51db22c7203c1611f9b513075f35c4e0e4877c5dde378d66043/kiwisolver-1.4.8-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cd2785b9391f2873ad46088ed7599a6a71e762e1ea33e87514b1a441ed1da1c", size = 81186 }, + { url = "https://files.pythonhosted.org/packages/43/f8/7259f18c77adca88d5f64f9a522792e178b2691f3748817a8750c2d216ef/kiwisolver-1.4.8-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c07b29089b7ba090b6f1a669f1411f27221c3662b3a1b7010e67b59bb5a6f10b", size = 80279 }, + { url = "https://files.pythonhosted.org/packages/3a/1d/50ad811d1c5dae091e4cf046beba925bcae0a610e79ae4c538f996f63ed5/kiwisolver-1.4.8-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:65ea09a5a3faadd59c2ce96dc7bf0f364986a315949dc6374f04396b0d60e09b", size = 71762 }, ] [[package]] @@ -2208,95 +1544,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/fc/88/65a3540a0e66f5a1636b0fea715c475e733ca4394452c1095dadfcfe7708/lancedb-0.16.0-cp38-abi3-win_amd64.whl", hash = "sha256:357a4cd2d7c5bf9677f84f7aa408d6c98c9d9012b3110979b126d40d30530e12", size = 25073405 }, ] -[[package]] -name = "langchain" -version = "0.3.11" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "aiohttp" }, - { name = "async-timeout", marker = "python_full_version < '3.11'" }, - { name = "langchain-core" }, - { name = "langchain-text-splitters" }, - { name = "langsmith" }, - { name = "numpy" }, - { name = "pydantic" }, - { name = "pyyaml" }, - { name = "requests" }, - { name = "sqlalchemy" }, - { name = "tenacity" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/03/6d/df5afcab81750ee1f9895ae33dd2f59f8f7b8a826611e2d73a9f1909d6ce/langchain-0.3.11.tar.gz", hash = "sha256:17868ea3f0cf5a46b4b88bf1961c4a12d32ea0778930e7d2eb5103e0287ff478", size = 420290 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ba/4a/26620afcff880f6058756786d9b858d348ac29c815e44f57b6c2c07bf86d/langchain-0.3.11-py3-none-any.whl", hash = "sha256:6655feded1f7569e5a4bd11e38de0a26c7c86646c0dea49afccceba42df60ad7", size = 1009036 }, -] - -[[package]] -name = "langchain-community" -version = "0.3.11" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "aiohttp" }, - { name = "dataclasses-json" }, - { name = "httpx-sse" }, - { name = "langchain" }, - { name = "langchain-core" }, - { name = "langsmith" }, - { name = "numpy" }, - { name = "pydantic-settings" }, - { name = "pyyaml" }, - { name = "requests" }, - { name = "sqlalchemy" }, - { name = "tenacity" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/11/55/cd4076894cce736efc48d787be68275f9ffc736449403cf4c1b11347dae3/langchain_community-0.3.11.tar.gz", hash = "sha256:31a96de1578f6037cd49acf287227d54e88e81f82e3e49cb4d90bfe05b1cdc32", size = 1681136 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/dc/c2/aeb43e7f879d429df40f742228dba747d790655f3eb0e2082b7d9854f0fd/langchain_community-0.3.11-py3-none-any.whl", hash = "sha256:c67091dc7652f44161bbea915c03a296f3c1ef2a8dfbcb475cdf23a1deb9790e", size = 2459045 }, -] - -[[package]] -name = "langchain-core" -version = "0.3.27" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "jsonpatch" }, - { name = "langsmith" }, - { name = "packaging" }, - { name = "pydantic" }, - { name = "pyyaml" }, - { name = "tenacity" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/77/2c/3ddc9d0d94dd7fc4ed8f71fda8b2cb6f3189e486ee224cb3b37fc7aba4bb/langchain_core-0.3.27.tar.gz", hash = "sha256:3d71835c4c630db03a19757565046029e89ee96a4b06788892599d49bb3fc58a", size = 330710 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/76/73/5d876d7c24cf82ff1d2c297c7da6ded4d857f7846763abe1bc72f7563e8e/langchain_core-0.3.27-py3-none-any.whl", hash = "sha256:5db42cd73f4f2d5d2550403a4c8b7dec2cd56f1501fe207d009b5b9632a5ca02", size = 411485 }, -] - -[[package]] -name = "langchain-openai" -version = "0.2.5" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "langchain-core" }, - { name = "openai" }, - { name = "tiktoken" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/b3/7a/2cf68955181b9571d7768dfc4229f54f21977206fe6d7a0eb39fc48be649/langchain_openai-0.2.5.tar.gz", hash = "sha256:55b98711a880474ec363267bf6cd0e2727dc00e8433731318d063a2184582c28", size = 43165 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/85/74/f0c5d1b00f9c63246c8106b795ea792bb7ac61e92db9101716f05cfc42c7/langchain_openai-0.2.5-py3-none-any.whl", hash = "sha256:745fd9d51a5a3a9cb8839d41f3786ab38dfc539e47c713a806cbca32f3d0875c", size = 50368 }, -] - -[[package]] -name = "langchain-text-splitters" -version = "0.3.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "langchain-core" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/47/63/0f7dae88d87e924d819e6a6375043499e3bc9931e306edd48b396abb4e42/langchain_text_splitters-0.3.2.tar.gz", hash = "sha256:81e6515d9901d6dd8e35fb31ccd4f30f76d44b771890c789dc835ef9f16204df", size = 20229 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ee/c6/5ba25c8bad647e92a92b3066177ab10d78efbd16c0b9919948cdcd18b027/langchain_text_splitters-0.3.2-py3-none-any.whl", hash = "sha256:0db28c53f41d1bc024cdb3b1646741f6d46d5371e90f31e7e7c9fbe75d01c726", size = 25564 }, -] - [[package]] name = "langdetect" version = "1.0.9" @@ -2308,7 +1555,7 @@ sdist = { url = "https://files.pythonhosted.org/packages/0e/72/a3add0e4eec4eb9e2 [[package]] name = "langfuse" -version = "2.57.0" +version = "2.57.11" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -2320,25 +1567,9 @@ dependencies = [ { name = "requests" }, { name = "wrapt" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/1c/50/22fd15606b6ac469d30f355693578f725dca1eb17f053301e62c4941e2ec/langfuse-2.57.0.tar.gz", hash = "sha256:8aa0b59af12c46417d1c9993f17921a984ec4688c0cd50004ef18647c9c5ae77", size = 142786 } +sdist = { url = "https://files.pythonhosted.org/packages/8a/fd/e2dc57452a9458c2dcd9c64908731b4fdc1363dba9a2f730ab76f9855040/langfuse-2.57.11.tar.gz", hash = "sha256:f1c220decdd9c858fb58916af1775ac999836859553c6ffef33ebf2197030697", size = 143290 } wheels = [ - { url = "https://files.pythonhosted.org/packages/d9/9c/1897e11cabd3f11b1e5cd087cb07cebf41fe323f784f0a7011099fd3eba3/langfuse-2.57.0-py3-none-any.whl", hash = "sha256:cb14b2393b73e5548ddd7e5cf2967210e24706e10b2699a727ece9077e69c990", size = 254784 }, -] - -[[package]] -name = "langsmith" -version = "0.1.139" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "httpx" }, - { name = "orjson" }, - { name = "pydantic" }, - { name = "requests" }, - { name = "requests-toolbelt" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/28/6d/15ab5402bdca9c7782049bbcebde643047450fdaa3c19e36839f72843f64/langsmith-0.1.139.tar.gz", hash = "sha256:2f9e4d32fef3ad7ef42c8506448cce3a31ad6b78bb4f3310db04ddaa1e9d744d", size = 291595 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/33/bf/5f94d4102c9497710dd0c7939e0a855d9c2d1008451a61651a5a2d28b472/langsmith-0.1.139-py3-none-any.whl", hash = "sha256:2a4a541bfbd0a9727255df28a60048c85bc8c4c6a276975923785c3fd82dc879", size = 302202 }, + { url = "https://files.pythonhosted.org/packages/ee/c6/cf4f817cbd7a7b7f6f3e2a46685fcba229e62426498155af6600785f4b06/langfuse-2.57.11-py3-none-any.whl", hash = "sha256:c9a074c68de62b7a7b144c02577a1a124df84274f13c80488f077147e93d6e78", size = 255407 }, ] [[package]] @@ -2363,121 +1594,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/9a/46/d96a6902c3529f96f8ea1fc2ba08fd48b50652141ddce9bf8faf0acdbbe6/litellm-1.57.2-py3-none-any.whl", hash = "sha256:b572c0d3d3c33ff3a4d18928ac6f051d10ac159814017a817d88ec7af9a8600c", size = 6582805 }, ] -[[package]] -name = "llama-index-core" -version = "0.12.10.post1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "aiohttp" }, - { name = "dataclasses-json" }, - { name = "deprecated" }, - { name = "dirtyjson" }, - { name = "filetype" }, - { name = "fsspec" }, - { name = "httpx" }, - { name = "nest-asyncio" }, - { name = "networkx" }, - { name = "nltk" }, - { name = "numpy" }, - { name = "pillow" }, - { name = "pydantic" }, - { name = "pyyaml" }, - { name = "requests" }, - { name = "sqlalchemy", extra = ["asyncio"] }, - { name = "tenacity" }, - { name = "tiktoken" }, - { name = "tqdm" }, - { name = "typing-extensions" }, - { name = "typing-inspect" }, - { name = "wrapt" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/f9/0b/945ed217995e1ab685eba9a35b530d50b9f5853af88446acaff0ce4f89bb/llama_index_core-0.12.10.post1.tar.gz", hash = "sha256:af27bea4d1494ba84983a649976e60e3de677a73946aa45ed12ce27e3a623ddf", size = 1330881 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3f/04/e2bad3ebef965dd0650544cdd869befe63fd02b275a0867f04e15964a0a9/llama_index_core-0.12.10.post1-py3-none-any.whl", hash = "sha256:897e8cd4efeff6842580b043bdf4008ac60f693df1de2bfd975307a4845707c2", size = 1583668 }, -] - -[[package]] -name = "lxml" -version = "5.3.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e7/6b/20c3a4b24751377aaa6307eb230b66701024012c29dd374999cc92983269/lxml-5.3.0.tar.gz", hash = "sha256:4e109ca30d1edec1ac60cdbe341905dc3b8f55b16855e03a54aaf59e51ec8c6f", size = 3679318 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a1/ce/2789e39eddf2b13fac29878bfa465f0910eb6b0096e29090e5176bc8cf43/lxml-5.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:dd36439be765e2dde7660212b5275641edbc813e7b24668831a5c8ac91180656", size = 8124570 }, - { url = "https://files.pythonhosted.org/packages/24/a8/f4010166a25d41715527129af2675981a50d3bbf7df09c5d9ab8ca24fbf9/lxml-5.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ae5fe5c4b525aa82b8076c1a59d642c17b6e8739ecf852522c6321852178119d", size = 4413042 }, - { url = "https://files.pythonhosted.org/packages/41/a4/7e45756cecdd7577ddf67a68b69c1db0f5ddbf0c9f65021ee769165ffc5a/lxml-5.3.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:501d0d7e26b4d261fca8132854d845e4988097611ba2531408ec91cf3fd9d20a", size = 5139213 }, - { url = "https://files.pythonhosted.org/packages/02/e2/ecf845b12323c92748077e1818b64e8b4dba509a4cb12920b3762ebe7552/lxml-5.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fb66442c2546446944437df74379e9cf9e9db353e61301d1a0e26482f43f0dd8", size = 4838814 }, - { url = "https://files.pythonhosted.org/packages/12/91/619f9fb72cf75e9ceb8700706f7276f23995f6ad757e6d400fbe35ca4990/lxml-5.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9e41506fec7a7f9405b14aa2d5c8abbb4dbbd09d88f9496958b6d00cb4d45330", size = 5425084 }, - { url = "https://files.pythonhosted.org/packages/25/3b/162a85a8f0fd2a3032ec3f936636911c6e9523a8e263fffcfd581ce98b54/lxml-5.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f7d4a670107d75dfe5ad080bed6c341d18c4442f9378c9f58e5851e86eb79965", size = 4875993 }, - { url = "https://files.pythonhosted.org/packages/43/af/dd3f58cc7d946da6ae42909629a2b1d5dd2d1b583334d4af9396697d6863/lxml-5.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41ce1f1e2c7755abfc7e759dc34d7d05fd221723ff822947132dc934d122fe22", size = 5012462 }, - { url = "https://files.pythonhosted.org/packages/69/c1/5ea46b2d4c98f5bf5c83fffab8a0ad293c9bc74df9ecfbafef10f77f7201/lxml-5.3.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:44264ecae91b30e5633013fb66f6ddd05c006d3e0e884f75ce0b4755b3e3847b", size = 4815288 }, - { url = "https://files.pythonhosted.org/packages/1d/51/a0acca077ad35da458f4d3f729ef98effd2b90f003440d35fc36323f8ae6/lxml-5.3.0-cp310-cp310-manylinux_2_28_ppc64le.whl", hash = "sha256:3c174dc350d3ec52deb77f2faf05c439331d6ed5e702fc247ccb4e6b62d884b7", size = 5472435 }, - { url = "https://files.pythonhosted.org/packages/4d/6b/0989c9368986961a6b0f55b46c80404c4b758417acdb6d87bfc3bd5f4967/lxml-5.3.0-cp310-cp310-manylinux_2_28_s390x.whl", hash = "sha256:2dfab5fa6a28a0b60a20638dc48e6343c02ea9933e3279ccb132f555a62323d8", size = 4976354 }, - { url = "https://files.pythonhosted.org/packages/05/9e/87492d03ff604fbf656ed2bf3e2e8d28f5d58ea1f00ff27ac27b06509079/lxml-5.3.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:b1c8c20847b9f34e98080da785bb2336ea982e7f913eed5809e5a3c872900f32", size = 5029973 }, - { url = "https://files.pythonhosted.org/packages/f9/cc/9ae1baf5472af88e19e2c454b3710c1be9ecafb20eb474eeabcd88a055d2/lxml-5.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:2c86bf781b12ba417f64f3422cfc302523ac9cd1d8ae8c0f92a1c66e56ef2e86", size = 4888837 }, - { url = "https://files.pythonhosted.org/packages/d2/10/5594ffaec8c120d75b17e3ad23439b740a51549a9b5fd7484b2179adfe8f/lxml-5.3.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:c162b216070f280fa7da844531169be0baf9ccb17263cf5a8bf876fcd3117fa5", size = 5530555 }, - { url = "https://files.pythonhosted.org/packages/ea/9b/de17f05377c8833343b629905571fb06cff2028f15a6f58ae2267662e341/lxml-5.3.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:36aef61a1678cb778097b4a6eeae96a69875d51d1e8f4d4b491ab3cfb54b5a03", size = 5405314 }, - { url = "https://files.pythonhosted.org/packages/8a/b4/227be0f1f3cca8255925985164c3838b8b36e441ff0cc10c1d3c6bdba031/lxml-5.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f65e5120863c2b266dbcc927b306c5b78e502c71edf3295dfcb9501ec96e5fc7", size = 5079303 }, - { url = "https://files.pythonhosted.org/packages/5c/ee/19abcebb7fc40319bb71cd6adefa1ad94d09b5660228715854d6cc420713/lxml-5.3.0-cp310-cp310-win32.whl", hash = "sha256:ef0c1fe22171dd7c7c27147f2e9c3e86f8bdf473fed75f16b0c2e84a5030ce80", size = 3475126 }, - { url = "https://files.pythonhosted.org/packages/a1/35/183d32551447e280032b2331738cd850da435a42f850b71ebeaab42c1313/lxml-5.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:052d99051e77a4f3e8482c65014cf6372e61b0a6f4fe9edb98503bb5364cfee3", size = 3805065 }, - { url = "https://files.pythonhosted.org/packages/5c/a8/449faa2a3cbe6a99f8d38dcd51a3ee8844c17862841a6f769ea7c2a9cd0f/lxml-5.3.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:74bcb423462233bc5d6066e4e98b0264e7c1bed7541fff2f4e34fe6b21563c8b", size = 8141056 }, - { url = "https://files.pythonhosted.org/packages/ac/8a/ae6325e994e2052de92f894363b038351c50ee38749d30cc6b6d96aaf90f/lxml-5.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a3d819eb6f9b8677f57f9664265d0a10dd6551d227afb4af2b9cd7bdc2ccbf18", size = 4425238 }, - { url = "https://files.pythonhosted.org/packages/f8/fb/128dddb7f9086236bce0eeae2bfb316d138b49b159f50bc681d56c1bdd19/lxml-5.3.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b8f5db71b28b8c404956ddf79575ea77aa8b1538e8b2ef9ec877945b3f46442", size = 5095197 }, - { url = "https://files.pythonhosted.org/packages/b4/f9/a181a8ef106e41e3086629c8bdb2d21a942f14c84a0e77452c22d6b22091/lxml-5.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c3406b63232fc7e9b8783ab0b765d7c59e7c59ff96759d8ef9632fca27c7ee4", size = 4809809 }, - { url = "https://files.pythonhosted.org/packages/25/2f/b20565e808f7f6868aacea48ddcdd7e9e9fb4c799287f21f1a6c7c2e8b71/lxml-5.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2ecdd78ab768f844c7a1d4a03595038c166b609f6395e25af9b0f3f26ae1230f", size = 5407593 }, - { url = "https://files.pythonhosted.org/packages/23/0e/caac672ec246d3189a16c4d364ed4f7d6bf856c080215382c06764058c08/lxml-5.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:168f2dfcfdedf611eb285efac1516c8454c8c99caf271dccda8943576b67552e", size = 4866657 }, - { url = "https://files.pythonhosted.org/packages/67/a4/1f5fbd3f58d4069000522196b0b776a014f3feec1796da03e495cf23532d/lxml-5.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa617107a410245b8660028a7483b68e7914304a6d4882b5ff3d2d3eb5948d8c", size = 4967017 }, - { url = "https://files.pythonhosted.org/packages/ee/73/623ecea6ca3c530dd0a4ed0d00d9702e0e85cd5624e2d5b93b005fe00abd/lxml-5.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:69959bd3167b993e6e710b99051265654133a98f20cec1d9b493b931942e9c16", size = 4810730 }, - { url = "https://files.pythonhosted.org/packages/1d/ce/fb84fb8e3c298f3a245ae3ea6221c2426f1bbaa82d10a88787412a498145/lxml-5.3.0-cp311-cp311-manylinux_2_28_ppc64le.whl", hash = "sha256:bd96517ef76c8654446fc3db9242d019a1bb5fe8b751ba414765d59f99210b79", size = 5455154 }, - { url = "https://files.pythonhosted.org/packages/b1/72/4d1ad363748a72c7c0411c28be2b0dc7150d91e823eadad3b91a4514cbea/lxml-5.3.0-cp311-cp311-manylinux_2_28_s390x.whl", hash = "sha256:ab6dd83b970dc97c2d10bc71aa925b84788c7c05de30241b9e96f9b6d9ea3080", size = 4969416 }, - { url = "https://files.pythonhosted.org/packages/42/07/b29571a58a3a80681722ea8ed0ba569211d9bb8531ad49b5cacf6d409185/lxml-5.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:eec1bb8cdbba2925bedc887bc0609a80e599c75b12d87ae42ac23fd199445654", size = 5013672 }, - { url = "https://files.pythonhosted.org/packages/b9/93/bde740d5a58cf04cbd38e3dd93ad1e36c2f95553bbf7d57807bc6815d926/lxml-5.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6a7095eeec6f89111d03dabfe5883a1fd54da319c94e0fb104ee8f23616b572d", size = 4878644 }, - { url = "https://files.pythonhosted.org/packages/56/b5/645c8c02721d49927c93181de4017164ec0e141413577687c3df8ff0800f/lxml-5.3.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:6f651ebd0b21ec65dfca93aa629610a0dbc13dbc13554f19b0113da2e61a4763", size = 5511531 }, - { url = "https://files.pythonhosted.org/packages/85/3f/6a99a12d9438316f4fc86ef88c5d4c8fb674247b17f3173ecadd8346b671/lxml-5.3.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:f422a209d2455c56849442ae42f25dbaaba1c6c3f501d58761c619c7836642ec", size = 5402065 }, - { url = "https://files.pythonhosted.org/packages/80/8a/df47bff6ad5ac57335bf552babfb2408f9eb680c074ec1ba412a1a6af2c5/lxml-5.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:62f7fdb0d1ed2065451f086519865b4c90aa19aed51081979ecd05a21eb4d1be", size = 5069775 }, - { url = "https://files.pythonhosted.org/packages/08/ae/e7ad0f0fbe4b6368c5ee1e3ef0c3365098d806d42379c46c1ba2802a52f7/lxml-5.3.0-cp311-cp311-win32.whl", hash = "sha256:c6379f35350b655fd817cd0d6cbeef7f265f3ae5fedb1caae2eb442bbeae9ab9", size = 3474226 }, - { url = "https://files.pythonhosted.org/packages/c3/b5/91c2249bfac02ee514ab135e9304b89d55967be7e53e94a879b74eec7a5c/lxml-5.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:9c52100e2c2dbb0649b90467935c4b0de5528833c76a35ea1a2691ec9f1ee7a1", size = 3814971 }, - { url = "https://files.pythonhosted.org/packages/eb/6d/d1f1c5e40c64bf62afd7a3f9b34ce18a586a1cccbf71e783cd0a6d8e8971/lxml-5.3.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e99f5507401436fdcc85036a2e7dc2e28d962550afe1cbfc07c40e454256a859", size = 8171753 }, - { url = "https://files.pythonhosted.org/packages/bd/83/26b1864921869784355459f374896dcf8b44d4af3b15d7697e9156cb2de9/lxml-5.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:384aacddf2e5813a36495233b64cb96b1949da72bef933918ba5c84e06af8f0e", size = 4441955 }, - { url = "https://files.pythonhosted.org/packages/e0/d2/e9bff9fb359226c25cda3538f664f54f2804f4b37b0d7c944639e1a51f69/lxml-5.3.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:874a216bf6afaf97c263b56371434e47e2c652d215788396f60477540298218f", size = 5050778 }, - { url = "https://files.pythonhosted.org/packages/88/69/6972bfafa8cd3ddc8562b126dd607011e218e17be313a8b1b9cc5a0ee876/lxml-5.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:65ab5685d56914b9a2a34d67dd5488b83213d680b0c5d10b47f81da5a16b0b0e", size = 4748628 }, - { url = "https://files.pythonhosted.org/packages/5d/ea/a6523c7c7f6dc755a6eed3d2f6d6646617cad4d3d6d8ce4ed71bfd2362c8/lxml-5.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aac0bbd3e8dd2d9c45ceb82249e8bdd3ac99131a32b4d35c8af3cc9db1657179", size = 5322215 }, - { url = "https://files.pythonhosted.org/packages/99/37/396fbd24a70f62b31d988e4500f2068c7f3fd399d2fd45257d13eab51a6f/lxml-5.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b369d3db3c22ed14c75ccd5af429086f166a19627e84a8fdade3f8f31426e52a", size = 4813963 }, - { url = "https://files.pythonhosted.org/packages/09/91/e6136f17459a11ce1757df864b213efbeab7adcb2efa63efb1b846ab6723/lxml-5.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c24037349665434f375645fa9d1f5304800cec574d0310f618490c871fd902b3", size = 4923353 }, - { url = "https://files.pythonhosted.org/packages/1d/7c/2eeecf87c9a1fca4f84f991067c693e67340f2b7127fc3eca8fa29d75ee3/lxml-5.3.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:62d172f358f33a26d6b41b28c170c63886742f5b6772a42b59b4f0fa10526cb1", size = 4740541 }, - { url = "https://files.pythonhosted.org/packages/3b/ed/4c38ba58defca84f5f0d0ac2480fdcd99fc7ae4b28fc417c93640a6949ae/lxml-5.3.0-cp312-cp312-manylinux_2_28_ppc64le.whl", hash = "sha256:c1f794c02903c2824fccce5b20c339a1a14b114e83b306ff11b597c5f71a1c8d", size = 5346504 }, - { url = "https://files.pythonhosted.org/packages/a5/22/bbd3995437e5745cb4c2b5d89088d70ab19d4feabf8a27a24cecb9745464/lxml-5.3.0-cp312-cp312-manylinux_2_28_s390x.whl", hash = "sha256:5d6a6972b93c426ace71e0be9a6f4b2cfae9b1baed2eed2006076a746692288c", size = 4898077 }, - { url = "https://files.pythonhosted.org/packages/0a/6e/94537acfb5b8f18235d13186d247bca478fea5e87d224644e0fe907df976/lxml-5.3.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:3879cc6ce938ff4eb4900d901ed63555c778731a96365e53fadb36437a131a99", size = 4946543 }, - { url = "https://files.pythonhosted.org/packages/8d/e8/4b15df533fe8e8d53363b23a41df9be907330e1fa28c7ca36893fad338ee/lxml-5.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:74068c601baff6ff021c70f0935b0c7bc528baa8ea210c202e03757c68c5a4ff", size = 4816841 }, - { url = "https://files.pythonhosted.org/packages/1a/e7/03f390ea37d1acda50bc538feb5b2bda6745b25731e4e76ab48fae7106bf/lxml-5.3.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:ecd4ad8453ac17bc7ba3868371bffb46f628161ad0eefbd0a855d2c8c32dd81a", size = 5417341 }, - { url = "https://files.pythonhosted.org/packages/ea/99/d1133ab4c250da85a883c3b60249d3d3e7c64f24faff494cf0fd23f91e80/lxml-5.3.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:7e2f58095acc211eb9d8b5771bf04df9ff37d6b87618d1cbf85f92399c98dae8", size = 5327539 }, - { url = "https://files.pythonhosted.org/packages/7d/ed/e6276c8d9668028213df01f598f385b05b55a4e1b4662ee12ef05dab35aa/lxml-5.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e63601ad5cd8f860aa99d109889b5ac34de571c7ee902d6812d5d9ddcc77fa7d", size = 5012542 }, - { url = "https://files.pythonhosted.org/packages/36/88/684d4e800f5aa28df2a991a6a622783fb73cf0e46235cfa690f9776f032e/lxml-5.3.0-cp312-cp312-win32.whl", hash = "sha256:17e8d968d04a37c50ad9c456a286b525d78c4a1c15dd53aa46c1d8e06bf6fa30", size = 3486454 }, - { url = "https://files.pythonhosted.org/packages/fc/82/ace5a5676051e60355bd8fb945df7b1ba4f4fb8447f2010fb816bfd57724/lxml-5.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:c1a69e58a6bb2de65902051d57fde951febad631a20a64572677a1052690482f", size = 3816857 }, - { url = "https://files.pythonhosted.org/packages/94/6a/42141e4d373903bfea6f8e94b2f554d05506dfda522ada5343c651410dc8/lxml-5.3.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:8c72e9563347c7395910de6a3100a4840a75a6f60e05af5e58566868d5eb2d6a", size = 8156284 }, - { url = "https://files.pythonhosted.org/packages/91/5e/fa097f0f7d8b3d113fb7312c6308af702f2667f22644441715be961f2c7e/lxml-5.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e92ce66cd919d18d14b3856906a61d3f6b6a8500e0794142338da644260595cd", size = 4432407 }, - { url = "https://files.pythonhosted.org/packages/2d/a1/b901988aa6d4ff937f2e5cfc114e4ec561901ff00660c3e56713642728da/lxml-5.3.0-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1d04f064bebdfef9240478f7a779e8c5dc32b8b7b0b2fc6a62e39b928d428e51", size = 5048331 }, - { url = "https://files.pythonhosted.org/packages/30/0f/b2a54f48e52de578b71bbe2a2f8160672a8a5e103df3a78da53907e8c7ed/lxml-5.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c2fb570d7823c2bbaf8b419ba6e5662137f8166e364a8b2b91051a1fb40ab8b", size = 4744835 }, - { url = "https://files.pythonhosted.org/packages/82/9d/b000c15538b60934589e83826ecbc437a1586488d7c13f8ee5ff1f79a9b8/lxml-5.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0c120f43553ec759f8de1fee2f4794452b0946773299d44c36bfe18e83caf002", size = 5316649 }, - { url = "https://files.pythonhosted.org/packages/e3/ee/ffbb9eaff5e541922611d2c56b175c45893d1c0b8b11e5a497708a6a3b3b/lxml-5.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:562e7494778a69086f0312ec9689f6b6ac1c6b65670ed7d0267e49f57ffa08c4", size = 4812046 }, - { url = "https://files.pythonhosted.org/packages/15/ff/7ff89d567485c7b943cdac316087f16b2399a8b997007ed352a1248397e5/lxml-5.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:423b121f7e6fa514ba0c7918e56955a1d4470ed35faa03e3d9f0e3baa4c7e492", size = 4918597 }, - { url = "https://files.pythonhosted.org/packages/c6/a3/535b6ed8c048412ff51268bdf4bf1cf052a37aa7e31d2e6518038a883b29/lxml-5.3.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:c00f323cc00576df6165cc9d21a4c21285fa6b9989c5c39830c3903dc4303ef3", size = 4738071 }, - { url = "https://files.pythonhosted.org/packages/7a/8f/cbbfa59cb4d4fd677fe183725a76d8c956495d7a3c7f111ab8f5e13d2e83/lxml-5.3.0-cp313-cp313-manylinux_2_28_ppc64le.whl", hash = "sha256:1fdc9fae8dd4c763e8a31e7630afef517eab9f5d5d31a278df087f307bf601f4", size = 5342213 }, - { url = "https://files.pythonhosted.org/packages/5c/fb/db4c10dd9958d4b52e34d1d1f7c1f434422aeaf6ae2bbaaff2264351d944/lxml-5.3.0-cp313-cp313-manylinux_2_28_s390x.whl", hash = "sha256:658f2aa69d31e09699705949b5fc4719cbecbd4a97f9656a232e7d6c7be1a367", size = 4893749 }, - { url = "https://files.pythonhosted.org/packages/f2/38/bb4581c143957c47740de18a3281a0cab7722390a77cc6e610e8ebf2d736/lxml-5.3.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:1473427aff3d66a3fa2199004c3e601e6c4500ab86696edffdbc84954c72d832", size = 4945901 }, - { url = "https://files.pythonhosted.org/packages/fc/d5/18b7de4960c731e98037bd48fa9f8e6e8f2558e6fbca4303d9b14d21ef3b/lxml-5.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a87de7dd873bf9a792bf1e58b1c3887b9264036629a5bf2d2e6579fe8e73edff", size = 4815447 }, - { url = "https://files.pythonhosted.org/packages/97/a8/cd51ceaad6eb849246559a8ef60ae55065a3df550fc5fcd27014361c1bab/lxml-5.3.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:0d7b36afa46c97875303a94e8f3ad932bf78bace9e18e603f2085b652422edcd", size = 5411186 }, - { url = "https://files.pythonhosted.org/packages/89/c3/1e3dabab519481ed7b1fdcba21dcfb8832f57000733ef0e71cf6d09a5e03/lxml-5.3.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:cf120cce539453ae086eacc0130a324e7026113510efa83ab42ef3fcfccac7fb", size = 5324481 }, - { url = "https://files.pythonhosted.org/packages/b6/17/71e9984cf0570cd202ac0a1c9ed5c1b8889b0fc8dc736f5ef0ffb181c284/lxml-5.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:df5c7333167b9674aa8ae1d4008fa4bc17a313cc490b2cca27838bbdcc6bb15b", size = 5011053 }, - { url = "https://files.pythonhosted.org/packages/69/68/9f7e6d3312a91e30829368c2b3217e750adef12a6f8eb10498249f4e8d72/lxml-5.3.0-cp313-cp313-win32.whl", hash = "sha256:c802e1c2ed9f0c06a65bc4ed0189d000ada8049312cfeab6ca635e39c9608957", size = 3485634 }, - { url = "https://files.pythonhosted.org/packages/7d/db/214290d58ad68c587bd5d6af3d34e56830438733d0d0856c0275fde43652/lxml-5.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:406246b96d552e0503e17a1006fd27edac678b3fcc9f1be71a2f94b4ff61528d", size = 3814417 }, - { url = "https://files.pythonhosted.org/packages/99/f7/b73a431c8500565aa500e99e60b448d305eaf7c0b4c893c7c5a8a69cc595/lxml-5.3.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7b1cd427cb0d5f7393c31b7496419da594fe600e6fdc4b105a54f82405e6626c", size = 3925431 }, - { url = "https://files.pythonhosted.org/packages/db/48/4a206623c0d093d0e3b15f415ffb4345b0bdf661a3d0b15a112948c033c7/lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51806cfe0279e06ed8500ce19479d757db42a30fd509940b1701be9c86a5ff9a", size = 4216683 }, - { url = "https://files.pythonhosted.org/packages/54/47/577820c45dd954523ae8453b632d91e76da94ca6d9ee40d8c98dd86f916b/lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ee70d08fd60c9565ba8190f41a46a54096afa0eeb8f76bd66f2c25d3b1b83005", size = 4326732 }, - { url = "https://files.pythonhosted.org/packages/68/de/96cb6d3269bc994b4f5ede8ca7bf0840f5de0a278bc6e50cb317ff71cafa/lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:8dc2c0395bea8254d8daebc76dcf8eb3a95ec2a46fa6fae5eaccee366bfe02ce", size = 4218377 }, - { url = "https://files.pythonhosted.org/packages/a5/43/19b1ef6cbffa4244a217f95cc5f41a6cb4720fed33510a49670b03c5f1a0/lxml-5.3.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:6ba0d3dcac281aad8a0e5b14c7ed6f9fa89c8612b47939fc94f80b16e2e9bc83", size = 4351237 }, - { url = "https://files.pythonhosted.org/packages/ba/b2/6a22fb5c0885da3b00e116aee81f0b829ec9ac8f736cd414b4a09413fc7d/lxml-5.3.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:6e91cf736959057f7aac7adfc83481e03615a8e8dd5758aa1d95ea69e8931dba", size = 3487557 }, -] - [[package]] name = "makefun" version = "1.15.6" @@ -2499,15 +1615,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/1e/bf/7a6a36ce2e4cafdfb202752be68850e22607fccd692847c45c1ae3c17ba6/Mako-1.3.8-py3-none-any.whl", hash = "sha256:42f48953c7eb91332040ff567eb7eea69b22e7a4affbc5ba8e845e8f730f6627", size = 78569 }, ] -[[package]] -name = "markdown" -version = "3.7" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/54/28/3af612670f82f4c056911fbbbb42760255801b3068c48de792d354ff4472/markdown-3.7.tar.gz", hash = "sha256:2ae2471477cfd02dbbf038d5d9bc226d40def84b4fe2986e49b59b6b472bbed2", size = 357086 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3f/08/83871f3c50fc983b88547c196d11cf8c3340e37c32d2e9d6152abe2c61f7/Markdown-3.7-py3-none-any.whl", hash = "sha256:7eb6df5690b81a1d7942992c97fad2938e956e79df20cbc6186e9c3a77b1c803", size = 106349 }, -] - [[package]] name = "markdown-it-py" version = "3.0.0" @@ -2578,18 +1685,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/4f/65/6079a46068dfceaeabb5dcad6d674f5f5c61a6fa5673746f42a9f4c233b3/MarkupSafe-3.0.2-cp313-cp313t-win_amd64.whl", hash = "sha256:e444a31f8db13eb18ada366ab3cf45fd4b31e4db1236a4448f68778c1d1a5a2f", size = 15739 }, ] -[[package]] -name = "marshmallow" -version = "3.23.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "packaging" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/ac/0f/33b98679f185f5ce58620595b32d4cf8e2fa5fb56d41eb463826558265c6/marshmallow-3.23.2.tar.gz", hash = "sha256:c448ac6455ca4d794773f00bae22c2f351d62d739929f761dce5eacb5c468d7f", size = 176929 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/64/38/8d37b19f6c882482cae7ba8db6d02fce3cba7b3895c93fc80352b30a18f5/marshmallow-3.23.2-py3-none-any.whl", hash = "sha256:bcaf2d6fd74fb1459f8450e85d994997ad3e70036452cbfa4ab685acb19479b3", size = 49326 }, -] - [[package]] name = "matplotlib" version = "3.10.0" @@ -2642,30 +1737,23 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/c9/b4/680aa700d99b48e8c4393fa08e9ab8c49c0555ee6f4c9c0a5e8ea8dfde5d/matplotlib-3.10.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ae80dc3a4add4665cf2faa90138384a7ffe2a4e37c58d83e115b54287c4f06ef", size = 8587361 }, ] -[[package]] -name = "mccabe" -version = "0.7.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e7/ff/0ffefdcac38932a54d2b5eed4e0ba8a408f215002cd178ad1df0f2806ff8/mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325", size = 9658 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/27/1a/1f68f9ba0c207934b35b86a8ca3aad8395a3d6dd7921c0686e23853ff5a9/mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e", size = 7350 }, -] - [[package]] name = "mcp" -version = "1.1.2" +version = "1.2.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, { name = "httpx" }, { name = "httpx-sse" }, { name = "pydantic" }, + { name = "pydantic-settings" }, { name = "sse-starlette" }, { name = "starlette" }, + { name = "uvicorn" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/9b/f3/5cf212e60681ea6da0dbb6e0d1bc0ab2dbf5eebc749b69663d46f114fea1/mcp-1.1.2.tar.gz", hash = "sha256:694aa9df7a8641b24953c935eb72c63136dc948981021525a0add199bdfee402", size = 57628 } +sdist = { url = "https://files.pythonhosted.org/packages/ab/a5/b08dc846ebedae9f17ced878e6975826e90e448cd4592f532f6a88a925a7/mcp-1.2.0.tar.gz", hash = "sha256:2b06c7ece98d6ea9e6379caa38d74b432385c338fb530cb82e2c70ea7add94f5", size = 102973 } wheels = [ - { url = "https://files.pythonhosted.org/packages/df/40/9883eac3718b860d4006eba1920bfcb628f0a1fe37fac46a4f4e391edca6/mcp-1.1.2-py3-none-any.whl", hash = "sha256:a4d32d60fd80a1702440ba4751b847a8a88957a1f7b059880953143e9759965a", size = 36652 }, + { url = "https://files.pythonhosted.org/packages/af/84/fca78f19ac8ce6c53ba416247c71baa53a9e791e98d3c81edbc20a77d6d1/mcp-1.2.0-py3-none-any.whl", hash = "sha256:1d0e77d8c14955a5aea1f5aa1f444c8e531c09355c829b20e42f7a142bc0755f", size = 66468 }, ] [[package]] @@ -2677,29 +1765,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b3/38/89ba8ad64ae25be8de66a6d463314cf1eb366222074cfda9ee839c56a4b4/mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8", size = 9979 }, ] -[[package]] -name = "milvus-lite" -version = "2.4.10" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "tqdm" }, -] -wheels = [ - { url = "https://files.pythonhosted.org/packages/7c/0b/262997e63e2eaaf5d9f93d73c9d3e75499c6ec058bd1307864be7efb6704/milvus_lite-2.4.10-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:fc4246d3ed7d1910847afce0c9ba18212e93a6e9b8406048436940578dfad5cb", size = 22281832 }, - { url = "https://files.pythonhosted.org/packages/17/20/9054ace78c61d64a6c24b8e3d6c8a73b23b447028e43c4d1e6c878e8294a/milvus_lite-2.4.10-py3-none-macosx_11_0_arm64.whl", hash = "sha256:74a8e07c5e3b057df17fbb46913388e84df1dc403a200f4e423799a58184c800", size = 19855994 }, - { url = "https://files.pythonhosted.org/packages/34/8e/7858d12d89bf9e84302c6ffd5faf776d7b2de4372a07461f726ce6f9929e/milvus_lite-2.4.10-py3-none-manylinux2014_aarch64.whl", hash = "sha256:240c7386b747bad696ecb5bd1f58d491e86b9d4b92dccee3315ed7256256eddc", size = 39614866 }, - { url = "https://files.pythonhosted.org/packages/84/65/639cb552c892ba5fef73301f878b2e7cabb59c918e0c49c9cf3026d49447/milvus_lite-2.4.10-py3-none-manylinux2014_x86_64.whl", hash = "sha256:211d2e334a043f9282bdd9755f76b9b2d93b23bffa7af240919ffce6a8dfe325", size = 49377774 }, -] - -[[package]] -name = "monotonic" -version = "1.6" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ea/ca/8e91948b782ddfbd194f323e7e7d9ba12e5877addf04fb2bf8fca38e86ac/monotonic-1.6.tar.gz", hash = "sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7", size = 7615 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9a/67/7e8406a29b6c45be7af7740456f7f37025f0506ae2e05fb9009a53946860/monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c", size = 8154 }, -] - [[package]] name = "multidict" version = "6.1.0" @@ -2790,61 +1855,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/da/d9/f7f9379981e39b8c2511c9e0326d212accacb82f12fbfdc1aa2ce2a7b2b6/multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3", size = 133351 }, ] -[[package]] -name = "mypy" -version = "1.13.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "mypy-extensions" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/e8/21/7e9e523537991d145ab8a0a2fd98548d67646dc2aaaf6091c31ad883e7c1/mypy-1.13.0.tar.gz", hash = "sha256:0291a61b6fbf3e6673e3405cfcc0e7650bebc7939659fdca2702958038bd835e", size = 3152532 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/5e/8c/206de95a27722b5b5a8c85ba3100467bd86299d92a4f71c6b9aa448bfa2f/mypy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6607e0f1dd1fb7f0aca14d936d13fd19eba5e17e1cd2a14f808fa5f8f6d8f60a", size = 11020731 }, - { url = "https://files.pythonhosted.org/packages/ab/bb/b31695a29eea76b1569fd28b4ab141a1adc9842edde080d1e8e1776862c7/mypy-1.13.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a21be69bd26fa81b1f80a61ee7ab05b076c674d9b18fb56239d72e21d9f4c80", size = 10184276 }, - { url = "https://files.pythonhosted.org/packages/a5/2d/4a23849729bb27934a0e079c9c1aad912167d875c7b070382a408d459651/mypy-1.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b2353a44d2179846a096e25691d54d59904559f4232519d420d64da6828a3a7", size = 12587706 }, - { url = "https://files.pythonhosted.org/packages/5c/c3/d318e38ada50255e22e23353a469c791379825240e71b0ad03e76ca07ae6/mypy-1.13.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0730d1c6a2739d4511dc4253f8274cdd140c55c32dfb0a4cf8b7a43f40abfa6f", size = 13105586 }, - { url = "https://files.pythonhosted.org/packages/4a/25/3918bc64952370c3dbdbd8c82c363804678127815febd2925b7273d9482c/mypy-1.13.0-cp310-cp310-win_amd64.whl", hash = "sha256:c5fc54dbb712ff5e5a0fca797e6e0aa25726c7e72c6a5850cfd2adbc1eb0a372", size = 9632318 }, - { url = "https://files.pythonhosted.org/packages/d0/19/de0822609e5b93d02579075248c7aa6ceaddcea92f00bf4ea8e4c22e3598/mypy-1.13.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:581665e6f3a8a9078f28d5502f4c334c0c8d802ef55ea0e7276a6e409bc0d82d", size = 10939027 }, - { url = "https://files.pythonhosted.org/packages/c8/71/6950fcc6ca84179137e4cbf7cf41e6b68b4a339a1f5d3e954f8c34e02d66/mypy-1.13.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3ddb5b9bf82e05cc9a627e84707b528e5c7caaa1c55c69e175abb15a761cec2d", size = 10108699 }, - { url = "https://files.pythonhosted.org/packages/26/50/29d3e7dd166e74dc13d46050b23f7d6d7533acf48f5217663a3719db024e/mypy-1.13.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:20c7ee0bc0d5a9595c46f38beb04201f2620065a93755704e141fcac9f59db2b", size = 12506263 }, - { url = "https://files.pythonhosted.org/packages/3f/1d/676e76f07f7d5ddcd4227af3938a9c9640f293b7d8a44dd4ff41d4db25c1/mypy-1.13.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3790ded76f0b34bc9c8ba4def8f919dd6a46db0f5a6610fb994fe8efdd447f73", size = 12984688 }, - { url = "https://files.pythonhosted.org/packages/9c/03/5a85a30ae5407b1d28fab51bd3e2103e52ad0918d1e68f02a7778669a307/mypy-1.13.0-cp311-cp311-win_amd64.whl", hash = "sha256:51f869f4b6b538229c1d1bcc1dd7d119817206e2bc54e8e374b3dfa202defcca", size = 9626811 }, - { url = "https://files.pythonhosted.org/packages/fb/31/c526a7bd2e5c710ae47717c7a5f53f616db6d9097caf48ad650581e81748/mypy-1.13.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5c7051a3461ae84dfb5dd15eff5094640c61c5f22257c8b766794e6dd85e72d5", size = 11077900 }, - { url = "https://files.pythonhosted.org/packages/83/67/b7419c6b503679d10bd26fc67529bc6a1f7a5f220bbb9f292dc10d33352f/mypy-1.13.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:39bb21c69a5d6342f4ce526e4584bc5c197fd20a60d14a8624d8743fffb9472e", size = 10074818 }, - { url = "https://files.pythonhosted.org/packages/ba/07/37d67048786ae84e6612575e173d713c9a05d0ae495dde1e68d972207d98/mypy-1.13.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:164f28cb9d6367439031f4c81e84d3ccaa1e19232d9d05d37cb0bd880d3f93c2", size = 12589275 }, - { url = "https://files.pythonhosted.org/packages/1f/17/b1018c6bb3e9f1ce3956722b3bf91bff86c1cefccca71cec05eae49d6d41/mypy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a4c1bfcdbce96ff5d96fc9b08e3831acb30dc44ab02671eca5953eadad07d6d0", size = 13037783 }, - { url = "https://files.pythonhosted.org/packages/cb/32/cd540755579e54a88099aee0287086d996f5a24281a673f78a0e14dba150/mypy-1.13.0-cp312-cp312-win_amd64.whl", hash = "sha256:a0affb3a79a256b4183ba09811e3577c5163ed06685e4d4b46429a271ba174d2", size = 9726197 }, - { url = "https://files.pythonhosted.org/packages/11/bb/ab4cfdc562cad80418f077d8be9b4491ee4fb257440da951b85cbb0a639e/mypy-1.13.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:a7b44178c9760ce1a43f544e595d35ed61ac2c3de306599fa59b38a6048e1aa7", size = 11069721 }, - { url = "https://files.pythonhosted.org/packages/59/3b/a393b1607cb749ea2c621def5ba8c58308ff05e30d9dbdc7c15028bca111/mypy-1.13.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:5d5092efb8516d08440e36626f0153b5006d4088c1d663d88bf79625af3d1d62", size = 10063996 }, - { url = "https://files.pythonhosted.org/packages/d1/1f/6b76be289a5a521bb1caedc1f08e76ff17ab59061007f201a8a18cc514d1/mypy-1.13.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:de2904956dac40ced10931ac967ae63c5089bd498542194b436eb097a9f77bc8", size = 12584043 }, - { url = "https://files.pythonhosted.org/packages/a6/83/5a85c9a5976c6f96e3a5a7591aa28b4a6ca3a07e9e5ba0cec090c8b596d6/mypy-1.13.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:7bfd8836970d33c2105562650656b6846149374dc8ed77d98424b40b09340ba7", size = 13036996 }, - { url = "https://files.pythonhosted.org/packages/b4/59/c39a6f752f1f893fccbcf1bdd2aca67c79c842402b5283563d006a67cf76/mypy-1.13.0-cp313-cp313-win_amd64.whl", hash = "sha256:9f73dba9ec77acb86457a8fc04b5239822df0c14a082564737833d2963677dbc", size = 9737709 }, - { url = "https://files.pythonhosted.org/packages/3b/86/72ce7f57431d87a7ff17d442f521146a6585019eb8f4f31b7c02801f78ad/mypy-1.13.0-py3-none-any.whl", hash = "sha256:9c250883f9fd81d212e0952c92dbfcc96fc237f4b7c92f56ac81fd48460b3e5a", size = 2647043 }, -] - -[[package]] -name = "mypy-extensions" -version = "1.0.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/98/a4/1ab47638b92648243faf97a5aeb6ea83059cc3624972ab6b8d2316078d3f/mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782", size = 4433 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/2a/e2/5d3f6ada4297caebe1a2add3b126fe800c96f56dbe5d1988a2cbe0b267aa/mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d", size = 4695 }, -] - -[[package]] -name = "neo4j" -version = "5.27.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "pytz" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/9c/b6/31ed9f3df8b948aecd31952193b803cd2007551f2f81aaa60d264e8d1950/neo4j-5.27.0.tar.gz", hash = "sha256:f82ee807cd15b178898d83f41a66372e11719a25dd487fd7bea48fd4b7323765", size = 223803 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f7/9a/cec819e5887804896db67b13215682b15e6f9201d9cf63890fee2b9a29e9/neo4j-5.27.0-py3-none-any.whl", hash = "sha256:929c14b9e5341267324eca170b39d1798b032bffacc26a0529eacaf678ae483f", size = 301679 }, -] - [[package]] name = "nest-asyncio" version = "1.6.0" @@ -2919,24 +1929,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/16/2e/86f24451c2d530c88daf997cb8d6ac622c1d40d19f5a031ed68a4b73a374/numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818", size = 15517754 }, ] -[[package]] -name = "oauthlib" -version = "3.2.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/6d/fa/fbf4001037904031639e6bfbfc02badfc7e12f137a8afa254df6c4c8a670/oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918", size = 177352 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/7e/80/cab10959dc1faead58dc8384a781dfbf93cb4d33d50988f7a69f1b7c9bbe/oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca", size = 151688 }, -] - -[[package]] -name = "olefile" -version = "0.47" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/69/1b/077b508e3e500e1629d366249c3ccb32f95e50258b231705c09e3c7a4366/olefile-0.47.zip", hash = "sha256:599383381a0bf3dfbd932ca0ca6515acd174ed48870cbf7fee123d698c192c1c", size = 112240 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/17/d3/b64c356a907242d719fc668b71befd73324e47ab46c8ebbbede252c154b2/olefile-0.47-py2.py3-none-any.whl", hash = "sha256:543c7da2a7adadf21214938bb79c83ea12b473a4b6ee4ad4bf854e7715e13d1f", size = 114565 }, -] - [[package]] name = "openai" version = "1.59.4" @@ -2956,163 +1948,64 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/99/01/1eefc235bb79174826b2fa0cad05bc2eab90eae97bf78c765887d7430e46/openai-1.59.4-py3-none-any.whl", hash = "sha256:82113498699998e98104f87c19a890e82df9b01251a0395484360575d3a1d98a", size = 454810 }, ] -[[package]] -name = "openpyxl" -version = "3.1.5" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "et-xmlfile" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/3d/f9/88d94a75de065ea32619465d2f77b29a0469500e99012523b91cc4141cd1/openpyxl-3.1.5.tar.gz", hash = "sha256:cf0e3cf56142039133628b5acffe8ef0c12bc902d2aadd3e0fe5878dc08d1050", size = 186464 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/c0/da/977ded879c29cbd04de313843e76868e6e13408a94ed6b987245dc7c8506/openpyxl-3.1.5-py2.py3-none-any.whl", hash = "sha256:5282c12b107bffeef825f4617dc029afaf41d0ea60823bbb665ef3079dc79de2", size = 250910 }, -] - -[[package]] -name = "opentelemetry-api" -version = "1.27.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "deprecated" }, - { name = "importlib-metadata" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/c9/83/93114b6de85a98963aec218a51509a52ed3f8de918fe91eb0f7299805c3f/opentelemetry_api-1.27.0.tar.gz", hash = "sha256:ed673583eaa5f81b5ce5e86ef7cdaf622f88ef65f0b9aab40b843dcae5bef342", size = 62693 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fb/1f/737dcdbc9fea2fa96c1b392ae47275165a7c641663fbb08a8d252968eed2/opentelemetry_api-1.27.0-py3-none-any.whl", hash = "sha256:953d5871815e7c30c81b56d910c707588000fff7a3ca1c73e6531911d53065e7", size = 63970 }, -] - -[[package]] -name = "opentelemetry-exporter-otlp-proto-common" -version = "1.27.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "opentelemetry-proto" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/cd/2e/7eaf4ba595fb5213cf639c9158dfb64aacb2e4c7d74bfa664af89fa111f4/opentelemetry_exporter_otlp_proto_common-1.27.0.tar.gz", hash = "sha256:159d27cf49f359e3798c4c3eb8da6ef4020e292571bd8c5604a2a573231dd5c8", size = 17860 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/41/27/4610ab3d9bb3cde4309b6505f98b3aabca04a26aa480aa18cede23149837/opentelemetry_exporter_otlp_proto_common-1.27.0-py3-none-any.whl", hash = "sha256:675db7fffcb60946f3a5c43e17d1168a3307a94a930ecf8d2ea1f286f3d4f79a", size = 17848 }, -] - -[[package]] -name = "opentelemetry-exporter-otlp-proto-grpc" -version = "1.27.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "deprecated" }, - { name = "googleapis-common-protos" }, - { name = "grpcio" }, - { name = "opentelemetry-api" }, - { name = "opentelemetry-exporter-otlp-proto-common" }, - { name = "opentelemetry-proto" }, - { name = "opentelemetry-sdk" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/a1/d0/c1e375b292df26e0ffebf194e82cd197e4c26cc298582bda626ce3ce74c5/opentelemetry_exporter_otlp_proto_grpc-1.27.0.tar.gz", hash = "sha256:af6f72f76bcf425dfb5ad11c1a6d6eca2863b91e63575f89bb7b4b55099d968f", size = 26244 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/8d/80/32217460c2c64c0568cea38410124ff680a9b65f6732867bbf857c4d8626/opentelemetry_exporter_otlp_proto_grpc-1.27.0-py3-none-any.whl", hash = "sha256:56b5bbd5d61aab05e300d9d62a6b3c134827bbd28d0b12f2649c2da368006c9e", size = 18541 }, -] - -[[package]] -name = "opentelemetry-proto" -version = "1.27.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "protobuf" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/9a/59/959f0beea798ae0ee9c979b90f220736fbec924eedbefc60ca581232e659/opentelemetry_proto-1.27.0.tar.gz", hash = "sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6", size = 34749 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/94/56/3d2d826834209b19a5141eed717f7922150224d1a982385d19a9444cbf8d/opentelemetry_proto-1.27.0-py3-none-any.whl", hash = "sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace", size = 52464 }, -] - -[[package]] -name = "opentelemetry-sdk" -version = "1.27.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "opentelemetry-api" }, - { name = "opentelemetry-semantic-conventions" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0d/9a/82a6ac0f06590f3d72241a587cb8b0b751bd98728e896cc4cbd4847248e6/opentelemetry_sdk-1.27.0.tar.gz", hash = "sha256:d525017dea0ccce9ba4e0245100ec46ecdc043f2d7b8315d56b19aff0904fa6f", size = 145019 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/c1/bd/a6602e71e315055d63b2ff07172bd2d012b4cba2d4e00735d74ba42fc4d6/opentelemetry_sdk-1.27.0-py3-none-any.whl", hash = "sha256:365f5e32f920faf0fd9e14fdfd92c086e317eaa5f860edba9cdc17a380d9197d", size = 110505 }, -] - -[[package]] -name = "opentelemetry-semantic-conventions" -version = "0.48b0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "deprecated" }, - { name = "opentelemetry-api" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/0a/89/1724ad69f7411772446067cdfa73b598694c8c91f7f8c922e344d96d81f9/opentelemetry_semantic_conventions-0.48b0.tar.gz", hash = "sha256:12d74983783b6878162208be57c9effcb89dc88691c64992d70bb89dc00daa1a", size = 89445 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/b7/7a/4f0063dbb0b6c971568291a8bc19a4ca70d3c185db2d956230dd67429dfc/opentelemetry_semantic_conventions-0.48b0-py3-none-any.whl", hash = "sha256:a0de9f45c413a8669788a38569c7e0a11ce6ce97861a628cca785deecdc32a1f", size = 149685 }, -] - -[[package]] -name = "orderly-set" -version = "5.2.3" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5d/9e/8fdcb9ab1b6983cc7c185a4ddafc27518118bd80e9ff2f30aba83636af37/orderly_set-5.2.3.tar.gz", hash = "sha256:571ed97c5a5fca7ddeb6b2d26c19aca896b0ed91f334d9c109edd2f265fb3017", size = 19698 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/cc/bb/a3a4eab8430f14c7d1476f9db261d32654cb3d1794c0266a46f6574e1190/orderly_set-5.2.3-py3-none-any.whl", hash = "sha256:d357cedcf67f4ebff0d4cbd5b0997e98eeb65dd24fdf5c990a501ae9e82c7d34", size = 12024 }, -] - [[package]] name = "orjson" -version = "3.10.12" +version = "3.10.15" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/e0/04/bb9f72987e7f62fb591d6c880c0caaa16238e4e530cbc3bdc84a7372d75f/orjson-3.10.12.tar.gz", hash = "sha256:0a78bbda3aea0f9f079057ee1ee8a1ecf790d4f1af88dd67493c6b8ee52506ff", size = 5438647 } +sdist = { url = "https://files.pythonhosted.org/packages/ae/f9/5dea21763eeff8c1590076918a446ea3d6140743e0e36f58f369928ed0f4/orjson-3.10.15.tar.gz", hash = "sha256:05ca7fe452a2e9d8d9d706a2984c95b9c2ebc5db417ce0b7a49b91d50642a23e", size = 5282482 } wheels = [ - { url = "https://files.pythonhosted.org/packages/72/d2/78652b67f86d093dca984ce3fa5bf819ee1462627da83e7d0b784a9a7c45/orjson-3.10.12-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:ece01a7ec71d9940cc654c482907a6b65df27251255097629d0dea781f255c6d", size = 248688 }, - { url = "https://files.pythonhosted.org/packages/70/cb/f8b6a52f3bc724edf8a62d8d1d8ee17cf19d6ae1cac89f077f0e7c30f396/orjson-3.10.12-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c34ec9aebc04f11f4b978dd6caf697a2df2dd9b47d35aa4cc606cabcb9df69d7", size = 136952 }, - { url = "https://files.pythonhosted.org/packages/a6/43/c55700df9814545bc8c35d87395ec4b9ee473a3c1f5ed72f8d3ad0298ee9/orjson-3.10.12-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fd6ec8658da3480939c79b9e9e27e0db31dffcd4ba69c334e98c9976ac29140e", size = 149089 }, - { url = "https://files.pythonhosted.org/packages/07/da/e7e7d73bd971710b736fbd8330b8830c5fa4fc0ac003b31af61f03b26dfc/orjson-3.10.12-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f17e6baf4cf01534c9de8a16c0c611f3d94925d1701bf5f4aff17003677d8ced", size = 140479 }, - { url = "https://files.pythonhosted.org/packages/08/49/c9dfddba56ff24eecfacf2f01a76cae4d249ac2995b1359bf63a74b1b318/orjson-3.10.12-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6402ebb74a14ef96f94a868569f5dccf70d791de49feb73180eb3c6fda2ade56", size = 156564 }, - { url = "https://files.pythonhosted.org/packages/96/df/174d2eff227dc23b4540a0c2efa6ec8fe406c442c4b7f0f556242f026d1f/orjson-3.10.12-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0000758ae7c7853e0a4a6063f534c61656ebff644391e1f81698c1b2d2fc8cd2", size = 131282 }, - { url = "https://files.pythonhosted.org/packages/6a/96/8628c53a52e2a0a1ee861d809092df72aabbd312c71de9ad6d49e2c039ab/orjson-3.10.12-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:888442dcee99fd1e5bd37a4abb94930915ca6af4db50e23e746cdf4d1e63db13", size = 139764 }, - { url = "https://files.pythonhosted.org/packages/38/17/08becb49e59e7bb7b29dc1dad19bc0c48635e627ee27e60eb5b64efcf7b1/orjson-3.10.12-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:c1f7a3ce79246aa0e92f5458d86c54f257fb5dfdc14a192651ba7ec2c00f8a05", size = 131913 }, - { url = "https://files.pythonhosted.org/packages/2a/05/f32acc2500e3fafee9445eb8b2a6ff19c4641035e6059c6c8d7bdb3abc9e/orjson-3.10.12-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:802a3935f45605c66fb4a586488a38af63cb37aaad1c1d94c982c40dcc452e85", size = 415782 }, - { url = "https://files.pythonhosted.org/packages/06/03/6cc740d998d8bb60e75d4b7e228d18964475239ac842cc1865d49d092545/orjson-3.10.12-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:1da1ef0113a2be19bb6c557fb0ec2d79c92ebd2fed4cfb1b26bab93f021fb885", size = 142383 }, - { url = "https://files.pythonhosted.org/packages/f8/30/39cac82547fe021615376245c558b216d3ae8c99bd6b2274f312e49f1c94/orjson-3.10.12-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:7a3273e99f367f137d5b3fecb5e9f45bcdbfac2a8b2f32fbc72129bbd48789c2", size = 130661 }, - { url = "https://files.pythonhosted.org/packages/95/29/c6837f4fc1eaa742eaf5abcd767ab6805493f44fe1f72b37c1743706c1d8/orjson-3.10.12-cp310-none-win32.whl", hash = "sha256:475661bf249fd7907d9b0a2a2421b4e684355a77ceef85b8352439a9163418c3", size = 143625 }, - { url = "https://files.pythonhosted.org/packages/f6/62/c6b955f2144421108fa441b5471e1d5f8654a7df9840b261106e04d5d15c/orjson-3.10.12-cp310-none-win_amd64.whl", hash = "sha256:87251dc1fb2b9e5ab91ce65d8f4caf21910d99ba8fb24b49fd0c118b2362d509", size = 135075 }, - { url = "https://files.pythonhosted.org/packages/d3/48/7c3cd094488f5a3bc58488555244609a8c4d105bc02f2b77e509debf0450/orjson-3.10.12-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a734c62efa42e7df94926d70fe7d37621c783dea9f707a98cdea796964d4cf74", size = 248687 }, - { url = "https://files.pythonhosted.org/packages/ff/90/e55f0e25c7fdd1f82551fe787f85df6f378170caca863c04c810cd8f2730/orjson-3.10.12-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:750f8b27259d3409eda8350c2919a58b0cfcd2054ddc1bd317a643afc646ef23", size = 136953 }, - { url = "https://files.pythonhosted.org/packages/2a/b3/109c020cf7fee747d400de53b43b183ca9d3ebda3906ad0b858eb5479718/orjson-3.10.12-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb52c22bfffe2857e7aa13b4622afd0dd9d16ea7cc65fd2bf318d3223b1b6252", size = 149090 }, - { url = "https://files.pythonhosted.org/packages/96/d4/35c0275dc1350707d182a1b5da16d1184b9439848060af541285407f18f9/orjson-3.10.12-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:440d9a337ac8c199ff8251e100c62e9488924c92852362cd27af0e67308c16ef", size = 140480 }, - { url = "https://files.pythonhosted.org/packages/3b/79/f863ff460c291ad2d882cc3b580cc444bd4ec60c9df55f6901e6c9a3f519/orjson-3.10.12-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a9e15c06491c69997dfa067369baab3bf094ecb74be9912bdc4339972323f252", size = 156564 }, - { url = "https://files.pythonhosted.org/packages/98/7e/8d5835449ddd873424ee7b1c4ba73a0369c1055750990d824081652874d6/orjson-3.10.12-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:362d204ad4b0b8724cf370d0cd917bb2dc913c394030da748a3bb632445ce7c4", size = 131279 }, - { url = "https://files.pythonhosted.org/packages/46/f5/d34595b6d7f4f984c6fef289269a7f98abcdc2445ebdf90e9273487dda6b/orjson-3.10.12-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2b57cbb4031153db37b41622eac67329c7810e5f480fda4cfd30542186f006ae", size = 139764 }, - { url = "https://files.pythonhosted.org/packages/b3/5b/ee6e9ddeab54a7b7806768151c2090a2d36025bc346a944f51cf172ef7f7/orjson-3.10.12-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:165c89b53ef03ce0d7c59ca5c82fa65fe13ddf52eeb22e859e58c237d4e33b9b", size = 131915 }, - { url = "https://files.pythonhosted.org/packages/c4/45/febee5951aef6db5cd8cdb260548101d7ece0ca9d4ddadadf1766306b7a4/orjson-3.10.12-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:5dee91b8dfd54557c1a1596eb90bcd47dbcd26b0baaed919e6861f076583e9da", size = 415783 }, - { url = "https://files.pythonhosted.org/packages/27/a5/5a8569e49f3a6c093bee954a3de95062a231196f59e59df13a48e2420081/orjson-3.10.12-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:77a4e1cfb72de6f905bdff061172adfb3caf7a4578ebf481d8f0530879476c07", size = 142387 }, - { url = "https://files.pythonhosted.org/packages/6e/05/02550fb38c5bf758f3994f55401233a2ef304e175f473f2ac6dbf464cc8b/orjson-3.10.12-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:038d42c7bc0606443459b8fe2d1f121db474c49067d8d14c6a075bbea8bf14dd", size = 130664 }, - { url = "https://files.pythonhosted.org/packages/8c/f4/ba31019d0646ce51f7ac75af6dabf98fd89dbf8ad87a9086da34710738e7/orjson-3.10.12-cp311-none-win32.whl", hash = "sha256:03b553c02ab39bed249bedd4abe37b2118324d1674e639b33fab3d1dafdf4d79", size = 143623 }, - { url = "https://files.pythonhosted.org/packages/83/fe/babf08842b989acf4c46103fefbd7301f026423fab47e6f3ba07b54d7837/orjson-3.10.12-cp311-none-win_amd64.whl", hash = "sha256:8b8713b9e46a45b2af6b96f559bfb13b1e02006f4242c156cbadef27800a55a8", size = 135074 }, - { url = "https://files.pythonhosted.org/packages/a1/2f/989adcafad49afb535da56b95d8f87d82e748548b2a86003ac129314079c/orjson-3.10.12-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:53206d72eb656ca5ac7d3a7141e83c5bbd3ac30d5eccfe019409177a57634b0d", size = 248678 }, - { url = "https://files.pythonhosted.org/packages/69/b9/8c075e21a50c387649db262b618ebb7e4d40f4197b949c146fc225dd23da/orjson-3.10.12-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac8010afc2150d417ebda810e8df08dd3f544e0dd2acab5370cfa6bcc0662f8f", size = 136763 }, - { url = "https://files.pythonhosted.org/packages/87/d3/78edf10b4ab14c19f6d918cf46a145818f4aca2b5a1773c894c5490d3a4c/orjson-3.10.12-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed459b46012ae950dd2e17150e838ab08215421487371fa79d0eced8d1461d70", size = 149137 }, - { url = "https://files.pythonhosted.org/packages/16/81/5db8852bdf990a0ddc997fa8f16b80895b8cc77c0fe3701569ed2b4b9e78/orjson-3.10.12-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dcb9673f108a93c1b52bfc51b0af422c2d08d4fc710ce9c839faad25020bb69", size = 140567 }, - { url = "https://files.pythonhosted.org/packages/fa/a6/9ce1e3e3db918512efadad489630c25841eb148513d21dab96f6b4157fa1/orjson-3.10.12-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:22a51ae77680c5c4652ebc63a83d5255ac7d65582891d9424b566fb3b5375ee9", size = 156620 }, - { url = "https://files.pythonhosted.org/packages/47/d4/05133d6bea24e292d2f7628b1e19986554f7d97b6412b3e51d812e38db2d/orjson-3.10.12-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:910fdf2ac0637b9a77d1aad65f803bac414f0b06f720073438a7bd8906298192", size = 131555 }, - { url = "https://files.pythonhosted.org/packages/b9/7a/b3fbffda8743135c7811e95dc2ab7cdbc5f04999b83c2957d046f1b3fac9/orjson-3.10.12-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:24ce85f7100160936bc2116c09d1a8492639418633119a2224114f67f63a4559", size = 139743 }, - { url = "https://files.pythonhosted.org/packages/b5/13/95bbcc9a6584aa083da5ce5004ce3d59ea362a542a0b0938d884fd8790b6/orjson-3.10.12-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8a76ba5fc8dd9c913640292df27bff80a685bed3a3c990d59aa6ce24c352f8fc", size = 131733 }, - { url = "https://files.pythonhosted.org/packages/e8/29/dddbb2ea6e7af426fcc3da65a370618a88141de75c6603313d70768d1df1/orjson-3.10.12-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:ff70ef093895fd53f4055ca75f93f047e088d1430888ca1229393a7c0521100f", size = 415788 }, - { url = "https://files.pythonhosted.org/packages/53/df/4aea59324ac539975919b4705ee086aced38e351a6eb3eea0f5071dd5661/orjson-3.10.12-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:f4244b7018b5753ecd10a6d324ec1f347da130c953a9c88432c7fbc8875d13be", size = 142347 }, - { url = "https://files.pythonhosted.org/packages/55/55/a52d83d7c49f8ff44e0daab10554490447d6c658771569e1c662aa7057fe/orjson-3.10.12-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:16135ccca03445f37921fa4b585cff9a58aa8d81ebcb27622e69bfadd220b32c", size = 130829 }, - { url = "https://files.pythonhosted.org/packages/a1/8b/b1beb1624dd4adf7d72e2d9b73c4b529e7851c0c754f17858ea13e368b33/orjson-3.10.12-cp312-none-win32.whl", hash = "sha256:2d879c81172d583e34153d524fcba5d4adafbab8349a7b9f16ae511c2cee8708", size = 143659 }, - { url = "https://files.pythonhosted.org/packages/13/91/634c9cd0bfc6a857fc8fab9bf1a1bd9f7f3345e0d6ca5c3d4569ceb6dcfa/orjson-3.10.12-cp312-none-win_amd64.whl", hash = "sha256:fc23f691fa0f5c140576b8c365bc942d577d861a9ee1142e4db468e4e17094fb", size = 135221 }, - { url = "https://files.pythonhosted.org/packages/1b/bb/3f560735f46fa6f875a9d7c4c2171a58cfb19f56a633d5ad5037a924f35f/orjson-3.10.12-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:47962841b2a8aa9a258b377f5188db31ba49af47d4003a32f55d6f8b19006543", size = 248662 }, - { url = "https://files.pythonhosted.org/packages/a3/df/54817902350636cc9270db20486442ab0e4db33b38555300a1159b439d16/orjson-3.10.12-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6334730e2532e77b6054e87ca84f3072bee308a45a452ea0bffbbbc40a67e296", size = 126055 }, - { url = "https://files.pythonhosted.org/packages/2e/77/55835914894e00332601a74540840f7665e81f20b3e2b9a97614af8565ed/orjson-3.10.12-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:accfe93f42713c899fdac2747e8d0d5c659592df2792888c6c5f829472e4f85e", size = 131507 }, - { url = "https://files.pythonhosted.org/packages/33/9e/b91288361898e3158062a876b5013c519a5d13e692ac7686e3486c4133ab/orjson-3.10.12-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a7974c490c014c48810d1dede6c754c3cc46598da758c25ca3b4001ac45b703f", size = 131686 }, - { url = "https://files.pythonhosted.org/packages/b2/15/08ce117d60a4d2d3fd24e6b21db463139a658e9f52d22c9c30af279b4187/orjson-3.10.12-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:3f250ce7727b0b2682f834a3facff88e310f52f07a5dcfd852d99637d386e79e", size = 415710 }, - { url = "https://files.pythonhosted.org/packages/71/af/c09da5ed58f9c002cf83adff7a4cdf3e6cee742aa9723395f8dcdb397233/orjson-3.10.12-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:f31422ff9486ae484f10ffc51b5ab2a60359e92d0716fcce1b3593d7bb8a9af6", size = 142305 }, - { url = "https://files.pythonhosted.org/packages/17/d1/8612038d44f33fae231e9ba480d273bac2b0383ce9e77cb06bede1224ae3/orjson-3.10.12-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5f29c5d282bb2d577c2a6bbde88d8fdcc4919c593f806aac50133f01b733846e", size = 130815 }, - { url = "https://files.pythonhosted.org/packages/67/2c/d5f87834be3591555cfaf9aecdf28f480a6f0b4afeaac53bad534bf9518f/orjson-3.10.12-cp313-none-win32.whl", hash = "sha256:f45653775f38f63dc0e6cd4f14323984c3149c05d6007b58cb154dd080ddc0dc", size = 143664 }, - { url = "https://files.pythonhosted.org/packages/6a/05/7d768fa3ca23c9b3e1e09117abeded1501119f1d8de0ab722938c91ab25d/orjson-3.10.12-cp313-none-win_amd64.whl", hash = "sha256:229994d0c376d5bdc91d92b3c9e6be2f1fbabd4cc1b59daae1443a46ee5e9825", size = 134944 }, + { url = "https://files.pythonhosted.org/packages/52/09/e5ff18ad009e6f97eb7edc5f67ef98b3ce0c189da9c3eaca1f9587cd4c61/orjson-3.10.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:552c883d03ad185f720d0c09583ebde257e41b9521b74ff40e08b7dec4559c04", size = 249532 }, + { url = "https://files.pythonhosted.org/packages/bd/b8/a75883301fe332bd433d9b0ded7d2bb706ccac679602c3516984f8814fb5/orjson-3.10.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e3e8d438d02e4854f70bfdc03a6bcdb697358dbaa6bcd19cbe24d24ece1f8", size = 125229 }, + { url = "https://files.pythonhosted.org/packages/83/4b/22f053e7a364cc9c685be203b1e40fc5f2b3f164a9b2284547504eec682e/orjson-3.10.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7c2c79fa308e6edb0ffab0a31fd75a7841bf2a79a20ef08a3c6e3b26814c8ca8", size = 150148 }, + { url = "https://files.pythonhosted.org/packages/63/64/1b54fc75ca328b57dd810541a4035fe48c12a161d466e3cf5b11a8c25649/orjson-3.10.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:73cb85490aa6bf98abd20607ab5c8324c0acb48d6da7863a51be48505646c814", size = 139748 }, + { url = "https://files.pythonhosted.org/packages/5e/ff/ff0c5da781807bb0a5acd789d9a7fbcb57f7b0c6e1916595da1f5ce69f3c/orjson-3.10.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:763dadac05e4e9d2bc14938a45a2d0560549561287d41c465d3c58aec818b164", size = 154559 }, + { url = "https://files.pythonhosted.org/packages/4e/9a/11e2974383384ace8495810d4a2ebef5f55aacfc97b333b65e789c9d362d/orjson-3.10.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a330b9b4734f09a623f74a7490db713695e13b67c959713b78369f26b3dee6bf", size = 130349 }, + { url = "https://files.pythonhosted.org/packages/2d/c4/dd9583aea6aefee1b64d3aed13f51d2aadb014028bc929fe52936ec5091f/orjson-3.10.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a61a4622b7ff861f019974f73d8165be1bd9a0855e1cad18ee167acacabeb061", size = 138514 }, + { url = "https://files.pythonhosted.org/packages/53/3e/dcf1729230654f5c5594fc752de1f43dcf67e055ac0d300c8cdb1309269a/orjson-3.10.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:acd271247691574416b3228db667b84775c497b245fa275c6ab90dc1ffbbd2b3", size = 130940 }, + { url = "https://files.pythonhosted.org/packages/e8/2b/b9759fe704789937705c8a56a03f6c03e50dff7df87d65cba9a20fec5282/orjson-3.10.15-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:e4759b109c37f635aa5c5cc93a1b26927bfde24b254bcc0e1149a9fada253d2d", size = 414713 }, + { url = "https://files.pythonhosted.org/packages/a7/6b/b9dfdbd4b6e20a59238319eb203ae07c3f6abf07eef909169b7a37ae3bba/orjson-3.10.15-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9e992fd5cfb8b9f00bfad2fd7a05a4299db2bbe92e6440d9dd2fab27655b3182", size = 141028 }, + { url = "https://files.pythonhosted.org/packages/7c/b5/40f5bbea619c7caf75eb4d652a9821875a8ed04acc45fe3d3ef054ca69fb/orjson-3.10.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f95fb363d79366af56c3f26b71df40b9a583b07bbaaf5b317407c4d58497852e", size = 129715 }, + { url = "https://files.pythonhosted.org/packages/38/60/2272514061cbdf4d672edbca6e59c7e01cd1c706e881427d88f3c3e79761/orjson-3.10.15-cp310-cp310-win32.whl", hash = "sha256:f9875f5fea7492da8ec2444839dcc439b0ef298978f311103d0b7dfd775898ab", size = 142473 }, + { url = "https://files.pythonhosted.org/packages/11/5d/be1490ff7eafe7fef890eb4527cf5bcd8cfd6117f3efe42a3249ec847b60/orjson-3.10.15-cp310-cp310-win_amd64.whl", hash = "sha256:17085a6aa91e1cd70ca8533989a18b5433e15d29c574582f76f821737c8d5806", size = 133564 }, + { url = "https://files.pythonhosted.org/packages/7a/a2/21b25ce4a2c71dbb90948ee81bd7a42b4fbfc63162e57faf83157d5540ae/orjson-3.10.15-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c4cc83960ab79a4031f3119cc4b1a1c627a3dc09df125b27c4201dff2af7eaa6", size = 249533 }, + { url = "https://files.pythonhosted.org/packages/b2/85/2076fc12d8225698a51278009726750c9c65c846eda741e77e1761cfef33/orjson-3.10.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ddbeef2481d895ab8be5185f2432c334d6dec1f5d1933a9c83014d188e102cef", size = 125230 }, + { url = "https://files.pythonhosted.org/packages/06/df/a85a7955f11274191eccf559e8481b2be74a7c6d43075d0a9506aa80284d/orjson-3.10.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9e590a0477b23ecd5b0ac865b1b907b01b3c5535f5e8a8f6ab0e503efb896334", size = 150148 }, + { url = "https://files.pythonhosted.org/packages/37/b3/94c55625a29b8767c0eed194cb000b3787e3c23b4cdd13be17bae6ccbb4b/orjson-3.10.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a6be38bd103d2fd9bdfa31c2720b23b5d47c6796bcb1d1b598e3924441b4298d", size = 139749 }, + { url = "https://files.pythonhosted.org/packages/53/ba/c608b1e719971e8ddac2379f290404c2e914cf8e976369bae3cad88768b1/orjson-3.10.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ff4f6edb1578960ed628a3b998fa54d78d9bb3e2eb2cfc5c2a09732431c678d0", size = 154558 }, + { url = "https://files.pythonhosted.org/packages/b2/c4/c1fb835bb23ad788a39aa9ebb8821d51b1c03588d9a9e4ca7de5b354fdd5/orjson-3.10.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0482b21d0462eddd67e7fce10b89e0b6ac56570424662b685a0d6fccf581e13", size = 130349 }, + { url = "https://files.pythonhosted.org/packages/78/14/bb2b48b26ab3c570b284eb2157d98c1ef331a8397f6c8bd983b270467f5c/orjson-3.10.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bb5cc3527036ae3d98b65e37b7986a918955f85332c1ee07f9d3f82f3a6899b5", size = 138513 }, + { url = "https://files.pythonhosted.org/packages/4a/97/d5b353a5fe532e92c46467aa37e637f81af8468aa894cd77d2ec8a12f99e/orjson-3.10.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d569c1c462912acdd119ccbf719cf7102ea2c67dd03b99edcb1a3048651ac96b", size = 130942 }, + { url = "https://files.pythonhosted.org/packages/b5/5d/a067bec55293cca48fea8b9928cfa84c623be0cce8141d47690e64a6ca12/orjson-3.10.15-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:1e6d33efab6b71d67f22bf2962895d3dc6f82a6273a965fab762e64fa90dc399", size = 414717 }, + { url = "https://files.pythonhosted.org/packages/6f/9a/1485b8b05c6b4c4db172c438cf5db5dcfd10e72a9bc23c151a1137e763e0/orjson-3.10.15-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:c33be3795e299f565681d69852ac8c1bc5c84863c0b0030b2b3468843be90388", size = 141033 }, + { url = "https://files.pythonhosted.org/packages/f8/d2/fc67523656e43a0c7eaeae9007c8b02e86076b15d591e9be11554d3d3138/orjson-3.10.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:eea80037b9fae5339b214f59308ef0589fc06dc870578b7cce6d71eb2096764c", size = 129720 }, + { url = "https://files.pythonhosted.org/packages/79/42/f58c7bd4e5b54da2ce2ef0331a39ccbbaa7699b7f70206fbf06737c9ed7d/orjson-3.10.15-cp311-cp311-win32.whl", hash = "sha256:d5ac11b659fd798228a7adba3e37c010e0152b78b1982897020a8e019a94882e", size = 142473 }, + { url = "https://files.pythonhosted.org/packages/00/f8/bb60a4644287a544ec81df1699d5b965776bc9848d9029d9f9b3402ac8bb/orjson-3.10.15-cp311-cp311-win_amd64.whl", hash = "sha256:cf45e0214c593660339ef63e875f32ddd5aa3b4adc15e662cdb80dc49e194f8e", size = 133570 }, + { url = "https://files.pythonhosted.org/packages/66/85/22fe737188905a71afcc4bf7cc4c79cd7f5bbe9ed1fe0aac4ce4c33edc30/orjson-3.10.15-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9d11c0714fc85bfcf36ada1179400862da3288fc785c30e8297844c867d7505a", size = 249504 }, + { url = "https://files.pythonhosted.org/packages/48/b7/2622b29f3afebe938a0a9037e184660379797d5fd5234e5998345d7a5b43/orjson-3.10.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dba5a1e85d554e3897fa9fe6fbcff2ed32d55008973ec9a2b992bd9a65d2352d", size = 125080 }, + { url = "https://files.pythonhosted.org/packages/ce/8f/0b72a48f4403d0b88b2a41450c535b3e8989e8a2d7800659a967efc7c115/orjson-3.10.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7723ad949a0ea502df656948ddd8b392780a5beaa4c3b5f97e525191b102fff0", size = 150121 }, + { url = "https://files.pythonhosted.org/packages/06/ec/acb1a20cd49edb2000be5a0404cd43e3c8aad219f376ac8c60b870518c03/orjson-3.10.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6fd9bc64421e9fe9bd88039e7ce8e58d4fead67ca88e3a4014b143cec7684fd4", size = 139796 }, + { url = "https://files.pythonhosted.org/packages/33/e1/f7840a2ea852114b23a52a1c0b2bea0a1ea22236efbcdb876402d799c423/orjson-3.10.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dadba0e7b6594216c214ef7894c4bd5f08d7c0135f4dd0145600be4fbcc16767", size = 154636 }, + { url = "https://files.pythonhosted.org/packages/fa/da/31543337febd043b8fa80a3b67de627669b88c7b128d9ad4cc2ece005b7a/orjson-3.10.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48f59114fe318f33bbaee8ebeda696d8ccc94c9e90bc27dbe72153094e26f41", size = 130621 }, + { url = "https://files.pythonhosted.org/packages/ed/78/66115dc9afbc22496530d2139f2f4455698be444c7c2475cb48f657cefc9/orjson-3.10.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:035fb83585e0f15e076759b6fedaf0abb460d1765b6a36f48018a52858443514", size = 138516 }, + { url = "https://files.pythonhosted.org/packages/22/84/cd4f5fb5427ffcf823140957a47503076184cb1ce15bcc1165125c26c46c/orjson-3.10.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d13b7fe322d75bf84464b075eafd8e7dd9eae05649aa2a5354cfa32f43c59f17", size = 130762 }, + { url = "https://files.pythonhosted.org/packages/93/1f/67596b711ba9f56dd75d73b60089c5c92057f1130bb3a25a0f53fb9a583b/orjson-3.10.15-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:7066b74f9f259849629e0d04db6609db4cf5b973248f455ba5d3bd58a4daaa5b", size = 414700 }, + { url = "https://files.pythonhosted.org/packages/7c/0c/6a3b3271b46443d90efb713c3e4fe83fa8cd71cda0d11a0f69a03f437c6e/orjson-3.10.15-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:88dc3f65a026bd3175eb157fea994fca6ac7c4c8579fc5a86fc2114ad05705b7", size = 141077 }, + { url = "https://files.pythonhosted.org/packages/3b/9b/33c58e0bfc788995eccd0d525ecd6b84b40d7ed182dd0751cd4c1322ac62/orjson-3.10.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b342567e5465bd99faa559507fe45e33fc76b9fb868a63f1642c6bc0735ad02a", size = 129898 }, + { url = "https://files.pythonhosted.org/packages/01/c1/d577ecd2e9fa393366a1ea0a9267f6510d86e6c4bb1cdfb9877104cac44c/orjson-3.10.15-cp312-cp312-win32.whl", hash = "sha256:0a4f27ea5617828e6b58922fdbec67b0aa4bb844e2d363b9244c47fa2180e665", size = 142566 }, + { url = "https://files.pythonhosted.org/packages/ed/eb/a85317ee1732d1034b92d56f89f1de4d7bf7904f5c8fb9dcdd5b1c83917f/orjson-3.10.15-cp312-cp312-win_amd64.whl", hash = "sha256:ef5b87e7aa9545ddadd2309efe6824bd3dd64ac101c15dae0f2f597911d46eaa", size = 133732 }, + { url = "https://files.pythonhosted.org/packages/06/10/fe7d60b8da538e8d3d3721f08c1b7bff0491e8fa4dd3bf11a17e34f4730e/orjson-3.10.15-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:bae0e6ec2b7ba6895198cd981b7cca95d1487d0147c8ed751e5632ad16f031a6", size = 249399 }, + { url = "https://files.pythonhosted.org/packages/6b/83/52c356fd3a61abd829ae7e4366a6fe8e8863c825a60d7ac5156067516edf/orjson-3.10.15-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f93ce145b2db1252dd86af37d4165b6faa83072b46e3995ecc95d4b2301b725a", size = 125044 }, + { url = "https://files.pythonhosted.org/packages/55/b2/d06d5901408e7ded1a74c7c20d70e3a127057a6d21355f50c90c0f337913/orjson-3.10.15-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7c203f6f969210128af3acae0ef9ea6aab9782939f45f6fe02d05958fe761ef9", size = 150066 }, + { url = "https://files.pythonhosted.org/packages/75/8c/60c3106e08dc593a861755781c7c675a566445cc39558677d505878d879f/orjson-3.10.15-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8918719572d662e18b8af66aef699d8c21072e54b6c82a3f8f6404c1f5ccd5e0", size = 139737 }, + { url = "https://files.pythonhosted.org/packages/6a/8c/ae00d7d0ab8a4490b1efeb01ad4ab2f1982e69cc82490bf8093407718ff5/orjson-3.10.15-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f71eae9651465dff70aa80db92586ad5b92df46a9373ee55252109bb6b703307", size = 154804 }, + { url = "https://files.pythonhosted.org/packages/22/86/65dc69bd88b6dd254535310e97bc518aa50a39ef9c5a2a5d518e7a223710/orjson-3.10.15-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e117eb299a35f2634e25ed120c37c641398826c2f5a3d3cc39f5993b96171b9e", size = 130583 }, + { url = "https://files.pythonhosted.org/packages/bb/00/6fe01ededb05d52be42fabb13d93a36e51f1fd9be173bd95707d11a8a860/orjson-3.10.15-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:13242f12d295e83c2955756a574ddd6741c81e5b99f2bef8ed8d53e47a01e4b7", size = 138465 }, + { url = "https://files.pythonhosted.org/packages/db/2f/4cc151c4b471b0cdc8cb29d3eadbce5007eb0475d26fa26ed123dca93b33/orjson-3.10.15-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:7946922ada8f3e0b7b958cc3eb22cfcf6c0df83d1fe5521b4a100103e3fa84c8", size = 130742 }, + { url = "https://files.pythonhosted.org/packages/9f/13/8a6109e4b477c518498ca37963d9c0eb1508b259725553fb53d53b20e2ea/orjson-3.10.15-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:b7155eb1623347f0f22c38c9abdd738b287e39b9982e1da227503387b81b34ca", size = 414669 }, + { url = "https://files.pythonhosted.org/packages/22/7b/1d229d6d24644ed4d0a803de1b0e2df832032d5beda7346831c78191b5b2/orjson-3.10.15-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:208beedfa807c922da4e81061dafa9c8489c6328934ca2a562efa707e049e561", size = 141043 }, + { url = "https://files.pythonhosted.org/packages/cc/d3/6dc91156cf12ed86bed383bcb942d84d23304a1e57b7ab030bf60ea130d6/orjson-3.10.15-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eca81f83b1b8c07449e1d6ff7074e82e3fd6777e588f1a6632127f286a968825", size = 129826 }, + { url = "https://files.pythonhosted.org/packages/b3/38/c47c25b86f6996f1343be721b6ea4367bc1c8bc0fc3f6bbcd995d18cb19d/orjson-3.10.15-cp313-cp313-win32.whl", hash = "sha256:c03cd6eea1bd3b949d0d007c8d57049aa2b39bd49f58b4b2af571a5d3833d890", size = 142542 }, + { url = "https://files.pythonhosted.org/packages/27/f1/1d7ec15b20f8ce9300bc850de1e059132b88990e46cd0ccac29cbf11e4f9/orjson-3.10.15-cp313-cp313-win_amd64.whl", hash = "sha256:fd56a26a04f6ba5fb2045b0acc487a63162a958ed837648c5781e1fe3316cfbf", size = 133444 }, ] [[package]] @@ -3192,11 +2085,11 @@ wheels = [ [[package]] name = "pathvalidate" -version = "3.2.1" +version = "3.2.3" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/b4/8c/8713d8dcd8e357b9358695b441ee974580a8addfaea4f01437df07577052/pathvalidate-3.2.1.tar.gz", hash = "sha256:f5d07b1e2374187040612a1fcd2bcb2919f8db180df254c9581bb90bf903377d", size = 59263 } +sdist = { url = "https://files.pythonhosted.org/packages/92/87/c7a2f51cc62df0495acb0ed2533a7c74cc895e569a1b020ee5f6e9fa4e21/pathvalidate-3.2.3.tar.gz", hash = "sha256:59b5b9278e30382d6d213497623043ebe63f10e29055be4419a9c04c721739cb", size = 61717 } wheels = [ - { url = "https://files.pythonhosted.org/packages/d3/5e/76a9d08b4b4e4583f269cb9f64de267f9aeae0dacef23307f53a14211716/pathvalidate-3.2.1-py3-none-any.whl", hash = "sha256:9a6255eb8f63c9e2135b9be97a5ce08f10230128c4ae7b3e935378b82b22c4c9", size = 23833 }, + { url = "https://files.pythonhosted.org/packages/50/14/c5a0e1a947909810fc4c043b84cac472b70e438148d34f5393be1bac663f/pathvalidate-3.2.3-py3-none-any.whl", hash = "sha256:5eaf0562e345d4b6d0c0239d0f690c3bd84d2a9a3c4c73b99ea667401b27bee1", size = 24130 }, ] [[package]] @@ -3248,83 +2141,71 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/7a/8a/166625d30f927e800e99f3f6556d8b3f4ad952c62d6a774844d73542b84b/pendulum-3.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:314c4038dc5e6a52991570f50edb2f08c339debdf8cea68ac355b32c4174e820", size = 293657 }, ] -[[package]] -name = "pgvector" -version = "0.3.6" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "numpy" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/7d/d8/fd6009cee3e03214667df488cdcf9609461d729968da94e4f95d6359d304/pgvector-0.3.6.tar.gz", hash = "sha256:31d01690e6ea26cea8a633cde5f0f55f5b246d9c8292d68efdef8c22ec994ade", size = 25421 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/fb/81/f457d6d361e04d061bef413749a6e1ab04d98cfeec6d8abcfe40184750f3/pgvector-0.3.6-py3-none-any.whl", hash = "sha256:f6c269b3c110ccb7496bac87202148ed18f34b390a0189c783e351062400a75a", size = 24880 }, -] - [[package]] name = "pillow" -version = "11.0.0" +version = "11.1.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a5/26/0d95c04c868f6bdb0c447e3ee2de5564411845e36a858cfd63766bc7b563/pillow-11.0.0.tar.gz", hash = "sha256:72bacbaf24ac003fea9bff9837d1eedb6088758d41e100c1552930151f677739", size = 46737780 } +sdist = { url = "https://files.pythonhosted.org/packages/f3/af/c097e544e7bd278333db77933e535098c259609c4eb3b85381109602fb5b/pillow-11.1.0.tar.gz", hash = "sha256:368da70808b36d73b4b390a8ffac11069f8a5c85f29eff1f1b01bcf3ef5b2a20", size = 46742715 } wheels = [ - { url = "https://files.pythonhosted.org/packages/98/fb/a6ce6836bd7fd93fbf9144bf54789e02babc27403b50a9e1583ee877d6da/pillow-11.0.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:6619654954dc4936fcff82db8eb6401d3159ec6be81e33c6000dfd76ae189947", size = 3154708 }, - { url = "https://files.pythonhosted.org/packages/6a/1d/1f51e6e912d8ff316bb3935a8cda617c801783e0b998bf7a894e91d3bd4c/pillow-11.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b3c5ac4bed7519088103d9450a1107f76308ecf91d6dabc8a33a2fcfb18d0fba", size = 2979223 }, - { url = "https://files.pythonhosted.org/packages/90/83/e2077b0192ca8a9ef794dbb74700c7e48384706467067976c2a95a0f40a1/pillow-11.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a65149d8ada1055029fcb665452b2814fe7d7082fcb0c5bed6db851cb69b2086", size = 4183167 }, - { url = "https://files.pythonhosted.org/packages/0e/74/467af0146970a98349cdf39e9b79a6cc8a2e7558f2c01c28a7b6b85c5bda/pillow-11.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:88a58d8ac0cc0e7f3a014509f0455248a76629ca9b604eca7dc5927cc593c5e9", size = 4283912 }, - { url = "https://files.pythonhosted.org/packages/85/b1/d95d4f7ca3a6c1ae120959605875a31a3c209c4e50f0029dc1a87566cf46/pillow-11.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:c26845094b1af3c91852745ae78e3ea47abf3dbcd1cf962f16b9a5fbe3ee8488", size = 4195815 }, - { url = "https://files.pythonhosted.org/packages/41/c3/94f33af0762ed76b5a237c5797e088aa57f2b7fa8ee7932d399087be66a8/pillow-11.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:1a61b54f87ab5786b8479f81c4b11f4d61702830354520837f8cc791ebba0f5f", size = 4366117 }, - { url = "https://files.pythonhosted.org/packages/ba/3c/443e7ef01f597497268899e1cca95c0de947c9bbf77a8f18b3c126681e5d/pillow-11.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:674629ff60030d144b7bca2b8330225a9b11c482ed408813924619c6f302fdbb", size = 4278607 }, - { url = "https://files.pythonhosted.org/packages/26/95/1495304448b0081e60c0c5d63f928ef48bb290acee7385804426fa395a21/pillow-11.0.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:598b4e238f13276e0008299bd2482003f48158e2b11826862b1eb2ad7c768b97", size = 4410685 }, - { url = "https://files.pythonhosted.org/packages/45/da/861e1df971ef0de9870720cb309ca4d553b26a9483ec9be3a7bf1de4a095/pillow-11.0.0-cp310-cp310-win32.whl", hash = "sha256:9a0f748eaa434a41fccf8e1ee7a3eed68af1b690e75328fd7a60af123c193b50", size = 2249185 }, - { url = "https://files.pythonhosted.org/packages/d5/4e/78f7c5202ea2a772a5ab05069c1b82503e6353cd79c7e474d4945f4b82c3/pillow-11.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:a5629742881bcbc1f42e840af185fd4d83a5edeb96475a575f4da50d6ede337c", size = 2566726 }, - { url = "https://files.pythonhosted.org/packages/77/e4/6e84eada35cbcc646fc1870f72ccfd4afacb0fae0c37ffbffe7f5dc24bf1/pillow-11.0.0-cp310-cp310-win_arm64.whl", hash = "sha256:ee217c198f2e41f184f3869f3e485557296d505b5195c513b2bfe0062dc537f1", size = 2254585 }, - { url = "https://files.pythonhosted.org/packages/f0/eb/f7e21b113dd48a9c97d364e0915b3988c6a0b6207652f5a92372871b7aa4/pillow-11.0.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:1c1d72714f429a521d8d2d018badc42414c3077eb187a59579f28e4270b4b0fc", size = 3154705 }, - { url = "https://files.pythonhosted.org/packages/25/b3/2b54a1d541accebe6bd8b1358b34ceb2c509f51cb7dcda8687362490da5b/pillow-11.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:499c3a1b0d6fc8213519e193796eb1a86a1be4b1877d678b30f83fd979811d1a", size = 2979222 }, - { url = "https://files.pythonhosted.org/packages/20/12/1a41eddad8265c5c19dda8fb6c269ce15ee25e0b9f8f26286e6202df6693/pillow-11.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c8b2351c85d855293a299038e1f89db92a2f35e8d2f783489c6f0b2b5f3fe8a3", size = 4190220 }, - { url = "https://files.pythonhosted.org/packages/a9/9b/8a8c4d07d77447b7457164b861d18f5a31ae6418ef5c07f6f878fa09039a/pillow-11.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f4dba50cfa56f910241eb7f883c20f1e7b1d8f7d91c750cd0b318bad443f4d5", size = 4291399 }, - { url = "https://files.pythonhosted.org/packages/fc/e4/130c5fab4a54d3991129800dd2801feeb4b118d7630148cd67f0e6269d4c/pillow-11.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:5ddbfd761ee00c12ee1be86c9c0683ecf5bb14c9772ddbd782085779a63dd55b", size = 4202709 }, - { url = "https://files.pythonhosted.org/packages/39/63/b3fc299528d7df1f678b0666002b37affe6b8751225c3d9c12cf530e73ed/pillow-11.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:45c566eb10b8967d71bf1ab8e4a525e5a93519e29ea071459ce517f6b903d7fa", size = 4372556 }, - { url = "https://files.pythonhosted.org/packages/c6/a6/694122c55b855b586c26c694937d36bb8d3b09c735ff41b2f315c6e66a10/pillow-11.0.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b4fd7bd29610a83a8c9b564d457cf5bd92b4e11e79a4ee4716a63c959699b306", size = 4287187 }, - { url = "https://files.pythonhosted.org/packages/ba/a9/f9d763e2671a8acd53d29b1e284ca298bc10a595527f6be30233cdb9659d/pillow-11.0.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:cb929ca942d0ec4fac404cbf520ee6cac37bf35be479b970c4ffadf2b6a1cad9", size = 4418468 }, - { url = "https://files.pythonhosted.org/packages/6e/0e/b5cbad2621377f11313a94aeb44ca55a9639adabcaaa073597a1925f8c26/pillow-11.0.0-cp311-cp311-win32.whl", hash = "sha256:006bcdd307cc47ba43e924099a038cbf9591062e6c50e570819743f5607404f5", size = 2249249 }, - { url = "https://files.pythonhosted.org/packages/dc/83/1470c220a4ff06cd75fc609068f6605e567ea51df70557555c2ab6516b2c/pillow-11.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:52a2d8323a465f84faaba5236567d212c3668f2ab53e1c74c15583cf507a0291", size = 2566769 }, - { url = "https://files.pythonhosted.org/packages/52/98/def78c3a23acee2bcdb2e52005fb2810ed54305602ec1bfcfab2bda6f49f/pillow-11.0.0-cp311-cp311-win_arm64.whl", hash = "sha256:16095692a253047fe3ec028e951fa4221a1f3ed3d80c397e83541a3037ff67c9", size = 2254611 }, - { url = "https://files.pythonhosted.org/packages/1c/a3/26e606ff0b2daaf120543e537311fa3ae2eb6bf061490e4fea51771540be/pillow-11.0.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:d2c0a187a92a1cb5ef2c8ed5412dd8d4334272617f532d4ad4de31e0495bd923", size = 3147642 }, - { url = "https://files.pythonhosted.org/packages/4f/d5/1caabedd8863526a6cfa44ee7a833bd97f945dc1d56824d6d76e11731939/pillow-11.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:084a07ef0821cfe4858fe86652fffac8e187b6ae677e9906e192aafcc1b69903", size = 2978999 }, - { url = "https://files.pythonhosted.org/packages/d9/ff/5a45000826a1aa1ac6874b3ec5a856474821a1b59d838c4f6ce2ee518fe9/pillow-11.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8069c5179902dcdce0be9bfc8235347fdbac249d23bd90514b7a47a72d9fecf4", size = 4196794 }, - { url = "https://files.pythonhosted.org/packages/9d/21/84c9f287d17180f26263b5f5c8fb201de0f88b1afddf8a2597a5c9fe787f/pillow-11.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f02541ef64077f22bf4924f225c0fd1248c168f86e4b7abdedd87d6ebaceab0f", size = 4300762 }, - { url = "https://files.pythonhosted.org/packages/84/39/63fb87cd07cc541438b448b1fed467c4d687ad18aa786a7f8e67b255d1aa/pillow-11.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:fcb4621042ac4b7865c179bb972ed0da0218a076dc1820ffc48b1d74c1e37fe9", size = 4210468 }, - { url = "https://files.pythonhosted.org/packages/7f/42/6e0f2c2d5c60f499aa29be14f860dd4539de322cd8fb84ee01553493fb4d/pillow-11.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:00177a63030d612148e659b55ba99527803288cea7c75fb05766ab7981a8c1b7", size = 4381824 }, - { url = "https://files.pythonhosted.org/packages/31/69/1ef0fb9d2f8d2d114db982b78ca4eeb9db9a29f7477821e160b8c1253f67/pillow-11.0.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8853a3bf12afddfdf15f57c4b02d7ded92c7a75a5d7331d19f4f9572a89c17e6", size = 4296436 }, - { url = "https://files.pythonhosted.org/packages/44/ea/dad2818c675c44f6012289a7c4f46068c548768bc6c7f4e8c4ae5bbbc811/pillow-11.0.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:3107c66e43bda25359d5ef446f59c497de2b5ed4c7fdba0894f8d6cf3822dafc", size = 4429714 }, - { url = "https://files.pythonhosted.org/packages/af/3a/da80224a6eb15bba7a0dcb2346e2b686bb9bf98378c0b4353cd88e62b171/pillow-11.0.0-cp312-cp312-win32.whl", hash = "sha256:86510e3f5eca0ab87429dd77fafc04693195eec7fd6a137c389c3eeb4cfb77c6", size = 2249631 }, - { url = "https://files.pythonhosted.org/packages/57/97/73f756c338c1d86bb802ee88c3cab015ad7ce4b838f8a24f16b676b1ac7c/pillow-11.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:8ec4a89295cd6cd4d1058a5e6aec6bf51e0eaaf9714774e1bfac7cfc9051db47", size = 2567533 }, - { url = "https://files.pythonhosted.org/packages/0b/30/2b61876e2722374558b871dfbfcbe4e406626d63f4f6ed92e9c8e24cac37/pillow-11.0.0-cp312-cp312-win_arm64.whl", hash = "sha256:27a7860107500d813fcd203b4ea19b04babe79448268403172782754870dac25", size = 2254890 }, - { url = "https://files.pythonhosted.org/packages/63/24/e2e15e392d00fcf4215907465d8ec2a2f23bcec1481a8ebe4ae760459995/pillow-11.0.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:bcd1fb5bb7b07f64c15618c89efcc2cfa3e95f0e3bcdbaf4642509de1942a699", size = 3147300 }, - { url = "https://files.pythonhosted.org/packages/43/72/92ad4afaa2afc233dc44184adff289c2e77e8cd916b3ddb72ac69495bda3/pillow-11.0.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0e038b0745997c7dcaae350d35859c9715c71e92ffb7e0f4a8e8a16732150f38", size = 2978742 }, - { url = "https://files.pythonhosted.org/packages/9e/da/c8d69c5bc85d72a8523fe862f05ababdc52c0a755cfe3d362656bb86552b/pillow-11.0.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ae08bd8ffc41aebf578c2af2f9d8749d91f448b3bfd41d7d9ff573d74f2a6b2", size = 4194349 }, - { url = "https://files.pythonhosted.org/packages/cd/e8/686d0caeed6b998351d57796496a70185376ed9c8ec7d99e1d19ad591fc6/pillow-11.0.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d69bfd8ec3219ae71bcde1f942b728903cad25fafe3100ba2258b973bd2bc1b2", size = 4298714 }, - { url = "https://files.pythonhosted.org/packages/ec/da/430015cec620d622f06854be67fd2f6721f52fc17fca8ac34b32e2d60739/pillow-11.0.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:61b887f9ddba63ddf62fd02a3ba7add935d053b6dd7d58998c630e6dbade8527", size = 4208514 }, - { url = "https://files.pythonhosted.org/packages/44/ae/7e4f6662a9b1cb5f92b9cc9cab8321c381ffbee309210940e57432a4063a/pillow-11.0.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:c6a660307ca9d4867caa8d9ca2c2658ab685de83792d1876274991adec7b93fa", size = 4380055 }, - { url = "https://files.pythonhosted.org/packages/74/d5/1a807779ac8a0eeed57f2b92a3c32ea1b696e6140c15bd42eaf908a261cd/pillow-11.0.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:73e3a0200cdda995c7e43dd47436c1548f87a30bb27fb871f352a22ab8dcf45f", size = 4296751 }, - { url = "https://files.pythonhosted.org/packages/38/8c/5fa3385163ee7080bc13026d59656267daaaaf3c728c233d530e2c2757c8/pillow-11.0.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:fba162b8872d30fea8c52b258a542c5dfd7b235fb5cb352240c8d63b414013eb", size = 4430378 }, - { url = "https://files.pythonhosted.org/packages/ca/1d/ad9c14811133977ff87035bf426875b93097fb50af747793f013979facdb/pillow-11.0.0-cp313-cp313-win32.whl", hash = "sha256:f1b82c27e89fffc6da125d5eb0ca6e68017faf5efc078128cfaa42cf5cb38798", size = 2249588 }, - { url = "https://files.pythonhosted.org/packages/fb/01/3755ba287dac715e6afdb333cb1f6d69740a7475220b4637b5ce3d78cec2/pillow-11.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:8ba470552b48e5835f1d23ecb936bb7f71d206f9dfeee64245f30c3270b994de", size = 2567509 }, - { url = "https://files.pythonhosted.org/packages/c0/98/2c7d727079b6be1aba82d195767d35fcc2d32204c7a5820f822df5330152/pillow-11.0.0-cp313-cp313-win_arm64.whl", hash = "sha256:846e193e103b41e984ac921b335df59195356ce3f71dcfd155aa79c603873b84", size = 2254791 }, - { url = "https://files.pythonhosted.org/packages/eb/38/998b04cc6f474e78b563716b20eecf42a2fa16a84589d23c8898e64b0ffd/pillow-11.0.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:4ad70c4214f67d7466bea6a08061eba35c01b1b89eaa098040a35272a8efb22b", size = 3150854 }, - { url = "https://files.pythonhosted.org/packages/13/8e/be23a96292113c6cb26b2aa3c8b3681ec62b44ed5c2bd0b258bd59503d3c/pillow-11.0.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:6ec0d5af64f2e3d64a165f490d96368bb5dea8b8f9ad04487f9ab60dc4bb6003", size = 2982369 }, - { url = "https://files.pythonhosted.org/packages/97/8a/3db4eaabb7a2ae8203cd3a332a005e4aba00067fc514aaaf3e9721be31f1/pillow-11.0.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c809a70e43c7977c4a42aefd62f0131823ebf7dd73556fa5d5950f5b354087e2", size = 4333703 }, - { url = "https://files.pythonhosted.org/packages/28/ac/629ffc84ff67b9228fe87a97272ab125bbd4dc462745f35f192d37b822f1/pillow-11.0.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:4b60c9520f7207aaf2e1d94de026682fc227806c6e1f55bba7606d1c94dd623a", size = 4412550 }, - { url = "https://files.pythonhosted.org/packages/d6/07/a505921d36bb2df6868806eaf56ef58699c16c388e378b0dcdb6e5b2fb36/pillow-11.0.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:1e2688958a840c822279fda0086fec1fdab2f95bf2b717b66871c4ad9859d7e8", size = 4461038 }, - { url = "https://files.pythonhosted.org/packages/d6/b9/fb620dd47fc7cc9678af8f8bd8c772034ca4977237049287e99dda360b66/pillow-11.0.0-cp313-cp313t-win32.whl", hash = "sha256:607bbe123c74e272e381a8d1957083a9463401f7bd01287f50521ecb05a313f8", size = 2253197 }, - { url = "https://files.pythonhosted.org/packages/df/86/25dde85c06c89d7fc5db17940f07aae0a56ac69aa9ccb5eb0f09798862a8/pillow-11.0.0-cp313-cp313t-win_amd64.whl", hash = "sha256:5c39ed17edea3bc69c743a8dd3e9853b7509625c2462532e62baa0732163a904", size = 2572169 }, - { url = "https://files.pythonhosted.org/packages/51/85/9c33f2517add612e17f3381aee7c4072779130c634921a756c97bc29fb49/pillow-11.0.0-cp313-cp313t-win_arm64.whl", hash = "sha256:75acbbeb05b86bc53cbe7b7e6fe00fbcf82ad7c684b3ad82e3d711da9ba287d3", size = 2256828 }, - { url = "https://files.pythonhosted.org/packages/36/57/42a4dd825eab762ba9e690d696d894ba366e06791936056e26e099398cda/pillow-11.0.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:1187739620f2b365de756ce086fdb3604573337cc28a0d3ac4a01ab6b2d2a6d2", size = 3119239 }, - { url = "https://files.pythonhosted.org/packages/98/f7/25f9f9e368226a1d6cf3507081a1a7944eddd3ca7821023377043f5a83c8/pillow-11.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fbbcb7b57dc9c794843e3d1258c0fbf0f48656d46ffe9e09b63bbd6e8cd5d0a2", size = 2950803 }, - { url = "https://files.pythonhosted.org/packages/59/01/98ead48a6c2e31e6185d4c16c978a67fe3ccb5da5c2ff2ba8475379bb693/pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d203af30149ae339ad1b4f710d9844ed8796e97fda23ffbc4cc472968a47d0b", size = 3281098 }, - { url = "https://files.pythonhosted.org/packages/51/c0/570255b2866a0e4d500a14f950803a2ec273bac7badc43320120b9262450/pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21a0d3b115009ebb8ac3d2ebec5c2982cc693da935f4ab7bb5c8ebe2f47d36f2", size = 3323665 }, - { url = "https://files.pythonhosted.org/packages/0e/75/689b4ec0483c42bfc7d1aacd32ade7a226db4f4fac57c6fdcdf90c0731e3/pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:73853108f56df97baf2bb8b522f3578221e56f646ba345a372c78326710d3830", size = 3310533 }, - { url = "https://files.pythonhosted.org/packages/3d/30/38bd6149cf53da1db4bad304c543ade775d225961c4310f30425995cb9ec/pillow-11.0.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e58876c91f97b0952eb766123bfef372792ab3f4e3e1f1a2267834c2ab131734", size = 3414886 }, - { url = "https://files.pythonhosted.org/packages/ec/3d/c32a51d848401bd94cabb8767a39621496491ee7cd5199856b77da9b18ad/pillow-11.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:224aaa38177597bb179f3ec87eeefcce8e4f85e608025e9cfac60de237ba6316", size = 2567508 }, + { url = "https://files.pythonhosted.org/packages/50/1c/2dcea34ac3d7bc96a1fd1bd0a6e06a57c67167fec2cff8d95d88229a8817/pillow-11.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:e1abe69aca89514737465752b4bcaf8016de61b3be1397a8fc260ba33321b3a8", size = 3229983 }, + { url = "https://files.pythonhosted.org/packages/14/ca/6bec3df25e4c88432681de94a3531cc738bd85dea6c7aa6ab6f81ad8bd11/pillow-11.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c640e5a06869c75994624551f45e5506e4256562ead981cce820d5ab39ae2192", size = 3101831 }, + { url = "https://files.pythonhosted.org/packages/d4/2c/668e18e5521e46eb9667b09e501d8e07049eb5bfe39d56be0724a43117e6/pillow-11.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a07dba04c5e22824816b2615ad7a7484432d7f540e6fa86af60d2de57b0fcee2", size = 4314074 }, + { url = "https://files.pythonhosted.org/packages/02/80/79f99b714f0fc25f6a8499ecfd1f810df12aec170ea1e32a4f75746051ce/pillow-11.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e267b0ed063341f3e60acd25c05200df4193e15a4a5807075cd71225a2386e26", size = 4394933 }, + { url = "https://files.pythonhosted.org/packages/81/aa/8d4ad25dc11fd10a2001d5b8a80fdc0e564ac33b293bdfe04ed387e0fd95/pillow-11.1.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:bd165131fd51697e22421d0e467997ad31621b74bfc0b75956608cb2906dda07", size = 4353349 }, + { url = "https://files.pythonhosted.org/packages/84/7a/cd0c3eaf4a28cb2a74bdd19129f7726277a7f30c4f8424cd27a62987d864/pillow-11.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:abc56501c3fd148d60659aae0af6ddc149660469082859fa7b066a298bde9482", size = 4476532 }, + { url = "https://files.pythonhosted.org/packages/8f/8b/a907fdd3ae8f01c7670dfb1499c53c28e217c338b47a813af8d815e7ce97/pillow-11.1.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:54ce1c9a16a9561b6d6d8cb30089ab1e5eb66918cb47d457bd996ef34182922e", size = 4279789 }, + { url = "https://files.pythonhosted.org/packages/6f/9a/9f139d9e8cccd661c3efbf6898967a9a337eb2e9be2b454ba0a09533100d/pillow-11.1.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:73ddde795ee9b06257dac5ad42fcb07f3b9b813f8c1f7f870f402f4dc54b5269", size = 4413131 }, + { url = "https://files.pythonhosted.org/packages/a8/68/0d8d461f42a3f37432203c8e6df94da10ac8081b6d35af1c203bf3111088/pillow-11.1.0-cp310-cp310-win32.whl", hash = "sha256:3a5fe20a7b66e8135d7fd617b13272626a28278d0e578c98720d9ba4b2439d49", size = 2291213 }, + { url = "https://files.pythonhosted.org/packages/14/81/d0dff759a74ba87715509af9f6cb21fa21d93b02b3316ed43bda83664db9/pillow-11.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:b6123aa4a59d75f06e9dd3dac5bf8bc9aa383121bb3dd9a7a612e05eabc9961a", size = 2625725 }, + { url = "https://files.pythonhosted.org/packages/ce/1f/8d50c096a1d58ef0584ddc37e6f602828515219e9d2428e14ce50f5ecad1/pillow-11.1.0-cp310-cp310-win_arm64.whl", hash = "sha256:a76da0a31da6fcae4210aa94fd779c65c75786bc9af06289cd1c184451ef7a65", size = 2375213 }, + { url = "https://files.pythonhosted.org/packages/dd/d6/2000bfd8d5414fb70cbbe52c8332f2283ff30ed66a9cde42716c8ecbe22c/pillow-11.1.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e06695e0326d05b06833b40b7ef477e475d0b1ba3a6d27da1bb48c23209bf457", size = 3229968 }, + { url = "https://files.pythonhosted.org/packages/d9/45/3fe487010dd9ce0a06adf9b8ff4f273cc0a44536e234b0fad3532a42c15b/pillow-11.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:96f82000e12f23e4f29346e42702b6ed9a2f2fea34a740dd5ffffcc8c539eb35", size = 3101806 }, + { url = "https://files.pythonhosted.org/packages/e3/72/776b3629c47d9d5f1c160113158a7a7ad177688d3a1159cd3b62ded5a33a/pillow-11.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a3cd561ded2cf2bbae44d4605837221b987c216cff94f49dfeed63488bb228d2", size = 4322283 }, + { url = "https://files.pythonhosted.org/packages/e4/c2/e25199e7e4e71d64eeb869f5b72c7ddec70e0a87926398785ab944d92375/pillow-11.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f189805c8be5ca5add39e6f899e6ce2ed824e65fb45f3c28cb2841911da19070", size = 4402945 }, + { url = "https://files.pythonhosted.org/packages/c1/ed/51d6136c9d5911f78632b1b86c45241c712c5a80ed7fa7f9120a5dff1eba/pillow-11.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:dd0052e9db3474df30433f83a71b9b23bd9e4ef1de13d92df21a52c0303b8ab6", size = 4361228 }, + { url = "https://files.pythonhosted.org/packages/48/a4/fbfe9d5581d7b111b28f1d8c2762dee92e9821bb209af9fa83c940e507a0/pillow-11.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:837060a8599b8f5d402e97197d4924f05a2e0d68756998345c829c33186217b1", size = 4484021 }, + { url = "https://files.pythonhosted.org/packages/39/db/0b3c1a5018117f3c1d4df671fb8e47d08937f27519e8614bbe86153b65a5/pillow-11.1.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:aa8dd43daa836b9a8128dbe7d923423e5ad86f50a7a14dc688194b7be5c0dea2", size = 4287449 }, + { url = "https://files.pythonhosted.org/packages/d9/58/bc128da7fea8c89fc85e09f773c4901e95b5936000e6f303222490c052f3/pillow-11.1.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0a2f91f8a8b367e7a57c6e91cd25af510168091fb89ec5146003e424e1558a96", size = 4419972 }, + { url = "https://files.pythonhosted.org/packages/5f/bb/58f34379bde9fe197f51841c5bbe8830c28bbb6d3801f16a83b8f2ad37df/pillow-11.1.0-cp311-cp311-win32.whl", hash = "sha256:c12fc111ef090845de2bb15009372175d76ac99969bdf31e2ce9b42e4b8cd88f", size = 2291201 }, + { url = "https://files.pythonhosted.org/packages/3a/c6/fce9255272bcf0c39e15abd2f8fd8429a954cf344469eaceb9d0d1366913/pillow-11.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fbd43429d0d7ed6533b25fc993861b8fd512c42d04514a0dd6337fb3ccf22761", size = 2625686 }, + { url = "https://files.pythonhosted.org/packages/c8/52/8ba066d569d932365509054859f74f2a9abee273edcef5cd75e4bc3e831e/pillow-11.1.0-cp311-cp311-win_arm64.whl", hash = "sha256:f7955ecf5609dee9442cbface754f2c6e541d9e6eda87fad7f7a989b0bdb9d71", size = 2375194 }, + { url = "https://files.pythonhosted.org/packages/95/20/9ce6ed62c91c073fcaa23d216e68289e19d95fb8188b9fb7a63d36771db8/pillow-11.1.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:2062ffb1d36544d42fcaa277b069c88b01bb7298f4efa06731a7fd6cc290b81a", size = 3226818 }, + { url = "https://files.pythonhosted.org/packages/b9/d8/f6004d98579a2596c098d1e30d10b248798cceff82d2b77aa914875bfea1/pillow-11.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a85b653980faad27e88b141348707ceeef8a1186f75ecc600c395dcac19f385b", size = 3101662 }, + { url = "https://files.pythonhosted.org/packages/08/d9/892e705f90051c7a2574d9f24579c9e100c828700d78a63239676f960b74/pillow-11.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9409c080586d1f683df3f184f20e36fb647f2e0bc3988094d4fd8c9f4eb1b3b3", size = 4329317 }, + { url = "https://files.pythonhosted.org/packages/8c/aa/7f29711f26680eab0bcd3ecdd6d23ed6bce180d82e3f6380fb7ae35fcf3b/pillow-11.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7fdadc077553621911f27ce206ffcbec7d3f8d7b50e0da39f10997e8e2bb7f6a", size = 4412999 }, + { url = "https://files.pythonhosted.org/packages/c8/c4/8f0fe3b9e0f7196f6d0bbb151f9fba323d72a41da068610c4c960b16632a/pillow-11.1.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:93a18841d09bcdd774dcdc308e4537e1f867b3dec059c131fde0327899734aa1", size = 4368819 }, + { url = "https://files.pythonhosted.org/packages/38/0d/84200ed6a871ce386ddc82904bfadc0c6b28b0c0ec78176871a4679e40b3/pillow-11.1.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:9aa9aeddeed452b2f616ff5507459e7bab436916ccb10961c4a382cd3e03f47f", size = 4496081 }, + { url = "https://files.pythonhosted.org/packages/84/9c/9bcd66f714d7e25b64118e3952d52841a4babc6d97b6d28e2261c52045d4/pillow-11.1.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:3cdcdb0b896e981678eee140d882b70092dac83ac1cdf6b3a60e2216a73f2b91", size = 4296513 }, + { url = "https://files.pythonhosted.org/packages/db/61/ada2a226e22da011b45f7104c95ebda1b63dcbb0c378ad0f7c2a710f8fd2/pillow-11.1.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:36ba10b9cb413e7c7dfa3e189aba252deee0602c86c309799da5a74009ac7a1c", size = 4431298 }, + { url = "https://files.pythonhosted.org/packages/e7/c4/fc6e86750523f367923522014b821c11ebc5ad402e659d8c9d09b3c9d70c/pillow-11.1.0-cp312-cp312-win32.whl", hash = "sha256:cfd5cd998c2e36a862d0e27b2df63237e67273f2fc78f47445b14e73a810e7e6", size = 2291630 }, + { url = "https://files.pythonhosted.org/packages/08/5c/2104299949b9d504baf3f4d35f73dbd14ef31bbd1ddc2c1b66a5b7dfda44/pillow-11.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:a697cd8ba0383bba3d2d3ada02b34ed268cb548b369943cd349007730c92bddf", size = 2626369 }, + { url = "https://files.pythonhosted.org/packages/37/f3/9b18362206b244167c958984b57c7f70a0289bfb59a530dd8af5f699b910/pillow-11.1.0-cp312-cp312-win_arm64.whl", hash = "sha256:4dd43a78897793f60766563969442020e90eb7847463eca901e41ba186a7d4a5", size = 2375240 }, + { url = "https://files.pythonhosted.org/packages/b3/31/9ca79cafdce364fd5c980cd3416c20ce1bebd235b470d262f9d24d810184/pillow-11.1.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ae98e14432d458fc3de11a77ccb3ae65ddce70f730e7c76140653048c71bfcbc", size = 3226640 }, + { url = "https://files.pythonhosted.org/packages/ac/0f/ff07ad45a1f172a497aa393b13a9d81a32e1477ef0e869d030e3c1532521/pillow-11.1.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:cc1331b6d5a6e144aeb5e626f4375f5b7ae9934ba620c0ac6b3e43d5e683a0f0", size = 3101437 }, + { url = "https://files.pythonhosted.org/packages/08/2f/9906fca87a68d29ec4530be1f893149e0cb64a86d1f9f70a7cfcdfe8ae44/pillow-11.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:758e9d4ef15d3560214cddbc97b8ef3ef86ce04d62ddac17ad39ba87e89bd3b1", size = 4326605 }, + { url = "https://files.pythonhosted.org/packages/b0/0f/f3547ee15b145bc5c8b336401b2d4c9d9da67da9dcb572d7c0d4103d2c69/pillow-11.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b523466b1a31d0dcef7c5be1f20b942919b62fd6e9a9be199d035509cbefc0ec", size = 4411173 }, + { url = "https://files.pythonhosted.org/packages/b1/df/bf8176aa5db515c5de584c5e00df9bab0713548fd780c82a86cba2c2fedb/pillow-11.1.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:9044b5e4f7083f209c4e35aa5dd54b1dd5b112b108648f5c902ad586d4f945c5", size = 4369145 }, + { url = "https://files.pythonhosted.org/packages/de/7c/7433122d1cfadc740f577cb55526fdc39129a648ac65ce64db2eb7209277/pillow-11.1.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:3764d53e09cdedd91bee65c2527815d315c6b90d7b8b79759cc48d7bf5d4f114", size = 4496340 }, + { url = "https://files.pythonhosted.org/packages/25/46/dd94b93ca6bd555588835f2504bd90c00d5438fe131cf01cfa0c5131a19d/pillow-11.1.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:31eba6bbdd27dde97b0174ddf0297d7a9c3a507a8a1480e1e60ef914fe23d352", size = 4296906 }, + { url = "https://files.pythonhosted.org/packages/a8/28/2f9d32014dfc7753e586db9add35b8a41b7a3b46540e965cb6d6bc607bd2/pillow-11.1.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b5d658fbd9f0d6eea113aea286b21d3cd4d3fd978157cbf2447a6035916506d3", size = 4431759 }, + { url = "https://files.pythonhosted.org/packages/33/48/19c2cbe7403870fbe8b7737d19eb013f46299cdfe4501573367f6396c775/pillow-11.1.0-cp313-cp313-win32.whl", hash = "sha256:f86d3a7a9af5d826744fabf4afd15b9dfef44fe69a98541f666f66fbb8d3fef9", size = 2291657 }, + { url = "https://files.pythonhosted.org/packages/3b/ad/285c556747d34c399f332ba7c1a595ba245796ef3e22eae190f5364bb62b/pillow-11.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:593c5fd6be85da83656b93ffcccc2312d2d149d251e98588b14fbc288fd8909c", size = 2626304 }, + { url = "https://files.pythonhosted.org/packages/e5/7b/ef35a71163bf36db06e9c8729608f78dedf032fc8313d19bd4be5c2588f3/pillow-11.1.0-cp313-cp313-win_arm64.whl", hash = "sha256:11633d58b6ee5733bde153a8dafd25e505ea3d32e261accd388827ee987baf65", size = 2375117 }, + { url = "https://files.pythonhosted.org/packages/79/30/77f54228401e84d6791354888549b45824ab0ffde659bafa67956303a09f/pillow-11.1.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:70ca5ef3b3b1c4a0812b5c63c57c23b63e53bc38e758b37a951e5bc466449861", size = 3230060 }, + { url = "https://files.pythonhosted.org/packages/ce/b1/56723b74b07dd64c1010fee011951ea9c35a43d8020acd03111f14298225/pillow-11.1.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:8000376f139d4d38d6851eb149b321a52bb8893a88dae8ee7d95840431977081", size = 3106192 }, + { url = "https://files.pythonhosted.org/packages/e1/cd/7bf7180e08f80a4dcc6b4c3a0aa9e0b0ae57168562726a05dc8aa8fa66b0/pillow-11.1.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9ee85f0696a17dd28fbcfceb59f9510aa71934b483d1f5601d1030c3c8304f3c", size = 4446805 }, + { url = "https://files.pythonhosted.org/packages/97/42/87c856ea30c8ed97e8efbe672b58c8304dee0573f8c7cab62ae9e31db6ae/pillow-11.1.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:dd0e081319328928531df7a0e63621caf67652c8464303fd102141b785ef9547", size = 4530623 }, + { url = "https://files.pythonhosted.org/packages/ff/41/026879e90c84a88e33fb00cc6bd915ac2743c67e87a18f80270dfe3c2041/pillow-11.1.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e63e4e5081de46517099dc30abe418122f54531a6ae2ebc8680bcd7096860eab", size = 4465191 }, + { url = "https://files.pythonhosted.org/packages/e5/fb/a7960e838bc5df57a2ce23183bfd2290d97c33028b96bde332a9057834d3/pillow-11.1.0-cp313-cp313t-win32.whl", hash = "sha256:dda60aa465b861324e65a78c9f5cf0f4bc713e4309f83bc387be158b077963d9", size = 2295494 }, + { url = "https://files.pythonhosted.org/packages/d7/6c/6ec83ee2f6f0fda8d4cf89045c6be4b0373ebfc363ba8538f8c999f63fcd/pillow-11.1.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ad5db5781c774ab9a9b2c4302bbf0c1014960a0a7be63278d13ae6fdf88126fe", size = 2631595 }, + { url = "https://files.pythonhosted.org/packages/cf/6c/41c21c6c8af92b9fea313aa47c75de49e2f9a467964ee33eb0135d47eb64/pillow-11.1.0-cp313-cp313t-win_arm64.whl", hash = "sha256:67cd427c68926108778a9005f2a04adbd5e67c442ed21d95389fe1d595458756", size = 2377651 }, + { url = "https://files.pythonhosted.org/packages/fa/c5/389961578fb677b8b3244fcd934f720ed25a148b9a5cc81c91bdf59d8588/pillow-11.1.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:8c730dc3a83e5ac137fbc92dfcfe1511ce3b2b5d7578315b63dbbb76f7f51d90", size = 3198345 }, + { url = "https://files.pythonhosted.org/packages/c4/fa/803c0e50ffee74d4b965229e816af55276eac1d5806712de86f9371858fd/pillow-11.1.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:7d33d2fae0e8b170b6a6c57400e077412240f6f5bb2a342cf1ee512a787942bb", size = 3072938 }, + { url = "https://files.pythonhosted.org/packages/dc/67/2a3a5f8012b5d8c63fe53958ba906c1b1d0482ebed5618057ef4d22f8076/pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a8d65b38173085f24bc07f8b6c505cbb7418009fa1a1fcb111b1f4961814a442", size = 3400049 }, + { url = "https://files.pythonhosted.org/packages/e5/a0/514f0d317446c98c478d1872497eb92e7cde67003fed74f696441e647446/pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:015c6e863faa4779251436db398ae75051469f7c903b043a48f078e437656f83", size = 3422431 }, + { url = "https://files.pythonhosted.org/packages/cd/00/20f40a935514037b7d3f87adfc87d2c538430ea625b63b3af8c3f5578e72/pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d44ff19eea13ae4acdaaab0179fa68c0c6f2f45d66a4d8ec1eda7d6cecbcc15f", size = 3446208 }, + { url = "https://files.pythonhosted.org/packages/28/3c/7de681727963043e093c72e6c3348411b0185eab3263100d4490234ba2f6/pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d3d8da4a631471dfaf94c10c85f5277b1f8e42ac42bade1ac67da4b4a7359b73", size = 3509746 }, + { url = "https://files.pythonhosted.org/packages/41/67/936f9814bdd74b2dfd4822f1f7725ab5d8ff4103919a1664eb4874c58b2f/pillow-11.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4637b88343166249fe8aa94e7c4a62a180c4b3898283bb5d3d2fd5fe10d8e4e0", size = 2626353 }, ] [[package]] @@ -3354,37 +2235,9 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a3/58/35da89ee790598a0700ea49b2a66594140f44dec458c07e8e3d4979137fc/ply-3.11-py2.py3-none-any.whl", hash = "sha256:096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce", size = 49567 }, ] -[[package]] -name = "portalocker" -version = "2.10.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "pywin32", marker = "platform_system == 'Windows'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/ed/d3/c6c64067759e87af98cc668c1cc75171347d0f1577fab7ca3749134e3cd4/portalocker-2.10.1.tar.gz", hash = "sha256:ef1bf844e878ab08aee7e40184156e1151f228f103aa5c6bd0724cc330960f8f", size = 40891 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9b/fb/a70a4214956182e0d7a9099ab17d50bfcba1056188e9b14f35b9e2b62a0d/portalocker-2.10.1-py3-none-any.whl", hash = "sha256:53a5984ebc86a025552264b459b46a2086e269b21823cb572f8f28ee759e45bf", size = 18423 }, -] - -[[package]] -name = "posthog" -version = "3.7.4" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "backoff" }, - { name = "monotonic" }, - { name = "python-dateutil" }, - { name = "requests" }, - { name = "six" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/77/a0/7607d4fd7c52b086671d8618e76cb5b9a642311fd6f352ebd7eb035319f2/posthog-3.7.4.tar.gz", hash = "sha256:19384bd09d330f9787a7e2446aba14c8057ece56144970ea2791072d4e40cd36", size = 50174 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d3/f2/5ee24cd69e2120bf87356c02ace0438b4e4fb78229fddcbf6f1c6be377d5/posthog-3.7.4-py2.py3-none-any.whl", hash = "sha256:21c18c6bf43b2de303ea4cd6e95804cc0f24c20cb2a96a8fd09da2ed50b62faa", size = 54777 }, -] - [[package]] name = "pre-commit" -version = "4.0.1" +version = "4.1.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "cfgv" }, @@ -3393,9 +2246,9 @@ dependencies = [ { name = "pyyaml" }, { name = "virtualenv" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/2e/c8/e22c292035f1bac8b9f5237a2622305bc0304e776080b246f3df57c4ff9f/pre_commit-4.0.1.tar.gz", hash = "sha256:80905ac375958c0444c65e9cebebd948b3cdb518f335a091a670a89d652139d2", size = 191678 } +sdist = { url = "https://files.pythonhosted.org/packages/2a/13/b62d075317d8686071eb843f0bb1f195eb332f48869d3c31a4c6f1e063ac/pre_commit-4.1.0.tar.gz", hash = "sha256:ae3f018575a588e30dfddfab9a05448bfbd6b73d78709617b5a2b853549716d4", size = 193330 } wheels = [ - { url = "https://files.pythonhosted.org/packages/16/8f/496e10d51edd6671ebe0432e33ff800aa86775d2d147ce7d43389324a525/pre_commit-4.0.1-py2.py3-none-any.whl", hash = "sha256:efde913840816312445dc98787724647c65473daefe420785f885e8ed9a06878", size = 218713 }, + { url = "https://files.pythonhosted.org/packages/43/b3/df14c580d82b9627d173ceea305ba898dca135feb360b6d84019d0803d3b/pre_commit-4.1.0-py2.py3-none-any.whl", hash = "sha256:d29e7cb346295bcc1cc75fc3e92e343495e3ea0196c9ec6ba53f49f10ab6ae7b", size = 220560 }, ] [[package]] @@ -3471,50 +2324,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/41/b6/c5319caea262f4821995dca2107483b94a3345d4607ad797c76cb9c36bcc/propcache-0.2.1-py3-none-any.whl", hash = "sha256:52277518d6aae65536e9cea52d4e7fd2f7a66f4aa2d30ed3f2fcea620ace3c54", size = 11818 }, ] -[[package]] -name = "protobuf" -version = "4.25.5" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/67/dd/48d5fdb68ec74d70fabcc252e434492e56f70944d9f17b6a15e3746d2295/protobuf-4.25.5.tar.gz", hash = "sha256:7f8249476b4a9473645db7f8ab42b02fe1488cbe5fb72fddd445e0665afd8584", size = 380315 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/00/35/1b3c5a5e6107859c4ca902f4fbb762e48599b78129a05d20684fef4a4d04/protobuf-4.25.5-cp310-abi3-win32.whl", hash = "sha256:5e61fd921603f58d2f5acb2806a929b4675f8874ff5f330b7d6f7e2e784bbcd8", size = 392457 }, - { url = "https://files.pythonhosted.org/packages/a7/ad/bf3f358e90b7e70bf7fb520702cb15307ef268262292d3bdb16ad8ebc815/protobuf-4.25.5-cp310-abi3-win_amd64.whl", hash = "sha256:4be0571adcbe712b282a330c6e89eae24281344429ae95c6d85e79e84780f5ea", size = 413449 }, - { url = "https://files.pythonhosted.org/packages/51/49/d110f0a43beb365758a252203c43eaaad169fe7749da918869a8c991f726/protobuf-4.25.5-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:b2fde3d805354df675ea4c7c6338c1aecd254dfc9925e88c6d31a2bcb97eb173", size = 394248 }, - { url = "https://files.pythonhosted.org/packages/c6/ab/0f384ca0bc6054b1a7b6009000ab75d28a5506e4459378b81280ae7fd358/protobuf-4.25.5-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:919ad92d9b0310070f8356c24b855c98df2b8bd207ebc1c0c6fcc9ab1e007f3d", size = 293717 }, - { url = "https://files.pythonhosted.org/packages/05/a6/094a2640be576d760baa34c902dcb8199d89bce9ed7dd7a6af74dcbbd62d/protobuf-4.25.5-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:fe14e16c22be926d3abfcb500e60cab068baf10b542b8c858fa27e098123e331", size = 294635 }, - { url = "https://files.pythonhosted.org/packages/33/90/f198a61df8381fb43ae0fe81b3d2718e8dcc51ae8502c7657ab9381fbc4f/protobuf-4.25.5-py3-none-any.whl", hash = "sha256:0aebecb809cae990f8129ada5ca273d9d670b76d9bfc9b1809f0a9c02b7dbf41", size = 156467 }, -] - -[[package]] -name = "psutil" -version = "6.1.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/10/2a30b13c61e7cf937f4adf90710776b7918ed0a9c434e2c38224732af310/psutil-6.1.0.tar.gz", hash = "sha256:353815f59a7f64cdaca1c0307ee13558a0512f6db064e92fe833784f08539c7a", size = 508565 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/01/9e/8be43078a171381953cfee33c07c0d628594b5dbfc5157847b85022c2c1b/psutil-6.1.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6e2dcd475ce8b80522e51d923d10c7871e45f20918e027ab682f94f1c6351688", size = 247762 }, - { url = "https://files.pythonhosted.org/packages/1d/cb/313e80644ea407f04f6602a9e23096540d9dc1878755f3952ea8d3d104be/psutil-6.1.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:0895b8414afafc526712c498bd9de2b063deaac4021a3b3c34566283464aff8e", size = 248777 }, - { url = "https://files.pythonhosted.org/packages/65/8e/bcbe2025c587b5d703369b6a75b65d41d1367553da6e3f788aff91eaf5bd/psutil-6.1.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9dcbfce5d89f1d1f2546a2090f4fcf87c7f669d1d90aacb7d7582addece9fb38", size = 284259 }, - { url = "https://files.pythonhosted.org/packages/58/4d/8245e6f76a93c98aab285a43ea71ff1b171bcd90c9d238bf81f7021fb233/psutil-6.1.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:498c6979f9c6637ebc3a73b3f87f9eb1ec24e1ce53a7c5173b8508981614a90b", size = 287255 }, - { url = "https://files.pythonhosted.org/packages/27/c2/d034856ac47e3b3cdfa9720d0e113902e615f4190d5d1bdb8df4b2015fb2/psutil-6.1.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d905186d647b16755a800e7263d43df08b790d709d575105d419f8b6ef65423a", size = 288804 }, - { url = "https://files.pythonhosted.org/packages/ea/55/5389ed243c878725feffc0d6a3bc5ef6764312b6fc7c081faaa2cfa7ef37/psutil-6.1.0-cp37-abi3-win32.whl", hash = "sha256:1ad45a1f5d0b608253b11508f80940985d1d0c8f6111b5cb637533a0e6ddc13e", size = 250386 }, - { url = "https://files.pythonhosted.org/packages/11/91/87fa6f060e649b1e1a7b19a4f5869709fbf750b7c8c262ee776ec32f3028/psutil-6.1.0-cp37-abi3-win_amd64.whl", hash = "sha256:a8fb3752b491d246034fa4d279ff076501588ce8cbcdbb62c32fd7a377d996be", size = 254228 }, -] - -[[package]] -name = "psycopg2" -version = "2.9.10" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/62/51/2007ea29e605957a17ac6357115d0c1a1b60c8c984951c19419b3474cdfd/psycopg2-2.9.10.tar.gz", hash = "sha256:12ec0b40b0273f95296233e8750441339298e6a572f7039da5b260e3c8b60e11", size = 385672 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/0a/a9/146b6bdc0d33539a359f5e134ee6dda9173fb8121c5b96af33fa299e50c4/psycopg2-2.9.10-cp310-cp310-win32.whl", hash = "sha256:5df2b672140f95adb453af93a7d669d7a7bf0a56bcd26f1502329166f4a61716", size = 1024527 }, - { url = "https://files.pythonhosted.org/packages/47/50/c509e56f725fd2572b59b69bd964edaf064deebf1c896b2452f6b46fdfb3/psycopg2-2.9.10-cp310-cp310-win_amd64.whl", hash = "sha256:c6f7b8561225f9e711a9c47087388a97fdc948211c10a4bccbf0ba68ab7b3b5a", size = 1163735 }, - { url = "https://files.pythonhosted.org/packages/20/a2/c51ca3e667c34e7852157b665e3d49418e68182081060231d514dd823225/psycopg2-2.9.10-cp311-cp311-win32.whl", hash = "sha256:47c4f9875125344f4c2b870e41b6aad585901318068acd01de93f3677a6522c2", size = 1024538 }, - { url = "https://files.pythonhosted.org/packages/33/39/5a9a229bb5414abeb86e33b8fc8143ab0aecce5a7f698a53e31367d30caa/psycopg2-2.9.10-cp311-cp311-win_amd64.whl", hash = "sha256:0435034157049f6846e95103bd8f5a668788dd913a7c30162ca9503fdf542cb4", size = 1163736 }, - { url = "https://files.pythonhosted.org/packages/3d/16/4623fad6076448df21c1a870c93a9774ad8a7b4dd1660223b59082dd8fec/psycopg2-2.9.10-cp312-cp312-win32.whl", hash = "sha256:65a63d7ab0e067e2cdb3cf266de39663203d38d6a8ed97f5ca0cb315c73fe067", size = 1025113 }, - { url = "https://files.pythonhosted.org/packages/66/de/baed128ae0fc07460d9399d82e631ea31a1f171c0c4ae18f9808ac6759e3/psycopg2-2.9.10-cp312-cp312-win_amd64.whl", hash = "sha256:4a579d6243da40a7b3182e0430493dbd55950c493d8c68f4eec0b302f6bbf20e", size = 1163951 }, - { url = "https://files.pythonhosted.org/packages/ae/49/a6cfc94a9c483b1fa401fbcb23aca7892f60c7269c5ffa2ac408364f80dc/psycopg2-2.9.10-cp313-cp313-win_amd64.whl", hash = "sha256:91fd603a2155da8d0cfcdbf8ab24a2d54bca72795b90d2a3ed2b6da8d979dee2", size = 2569060 }, -] - [[package]] name = "pwdlib" version = "0.2.1" @@ -3534,44 +2343,34 @@ bcrypt = [ [[package]] name = "pyarrow" -version = "18.1.0" +version = "15.0.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/7f/7b/640785a9062bb00314caa8a387abce547d2a420cf09bd6c715fe659ccffb/pyarrow-18.1.0.tar.gz", hash = "sha256:9386d3ca9c145b5539a1cfc75df07757dff870168c959b473a0bccbc3abc8c73", size = 1118671 } +dependencies = [ + { name = "numpy" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/b3/1b/bc36a07706f630709bfd5a7936d2875e153e3d084a6d95dae583c3ad9de7/pyarrow-15.0.0.tar.gz", hash = "sha256:876858f549d540898f927eba4ef77cd549ad8d24baa3207cf1b72e5788b50e83", size = 1063077 } wheels = [ - { url = "https://files.pythonhosted.org/packages/1a/bb/8d4a1573f66e0684f190dd2b55fd0b97a7214de8882d58a3867e777bf640/pyarrow-18.1.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e21488d5cfd3d8b500b3238a6c4b075efabc18f0f6d80b29239737ebd69caa6c", size = 29531620 }, - { url = "https://files.pythonhosted.org/packages/30/90/893acfad917533b624a97b9e498c0e8393908508a0a72d624fe935e632bf/pyarrow-18.1.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:b516dad76f258a702f7ca0250885fc93d1fa5ac13ad51258e39d402bd9e2e1e4", size = 30836521 }, - { url = "https://files.pythonhosted.org/packages/a3/2a/526545a7464b5fb2fa6e2c4bad16ca90e59e1843025c534fd907b7f73e5a/pyarrow-18.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f443122c8e31f4c9199cb23dca29ab9427cef990f283f80fe15b8e124bcc49b", size = 39213905 }, - { url = "https://files.pythonhosted.org/packages/8a/77/4b3fab91a30e19e233e738d0c5eca5a8f6dd05758bc349a2ca262c65de79/pyarrow-18.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a03da7f2758645d17b7b4f83c8bffeae5bbb7f974523fe901f36288d2eab71", size = 40128881 }, - { url = "https://files.pythonhosted.org/packages/aa/e2/a88e16c5e45e562449c52305bd3bc2f9d704295322d3434656e7ccac1444/pyarrow-18.1.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:ba17845efe3aa358ec266cf9cc2800fa73038211fb27968bfa88acd09261a470", size = 38627517 }, - { url = "https://files.pythonhosted.org/packages/6d/84/8037c20005ccc7b869726465be0957bd9c29cfc88612962030f08292ad06/pyarrow-18.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:3c35813c11a059056a22a3bef520461310f2f7eea5c8a11ef9de7062a23f8d56", size = 40060187 }, - { url = "https://files.pythonhosted.org/packages/2a/38/d6435c723ff73df8ae74626ea778262fbcc2b9b0d1a4f3db915b61711b05/pyarrow-18.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:9736ba3c85129d72aefa21b4f3bd715bc4190fe4426715abfff90481e7d00812", size = 25118314 }, - { url = "https://files.pythonhosted.org/packages/9e/4d/a4988e7d82f4fbc797715db4185939a658eeffb07a25bab7262bed1ea076/pyarrow-18.1.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:eaeabf638408de2772ce3d7793b2668d4bb93807deed1725413b70e3156a7854", size = 29554860 }, - { url = "https://files.pythonhosted.org/packages/59/03/3a42c5c1e4bd4c900ab62aa1ff6b472bdb159ba8f1c3e5deadab7222244f/pyarrow-18.1.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:3b2e2239339c538f3464308fd345113f886ad031ef8266c6f004d49769bb074c", size = 30867076 }, - { url = "https://files.pythonhosted.org/packages/75/7e/332055ac913373e89256dce9d14b7708f55f7bd5be631456c897f0237738/pyarrow-18.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f39a2e0ed32a0970e4e46c262753417a60c43a3246972cfc2d3eb85aedd01b21", size = 39212135 }, - { url = "https://files.pythonhosted.org/packages/8c/64/5099cdb325828722ef7ffeba9a4696f238eb0cdeae227f831c2d77fcf1bd/pyarrow-18.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31e9417ba9c42627574bdbfeada7217ad8a4cbbe45b9d6bdd4b62abbca4c6f6", size = 40125195 }, - { url = "https://files.pythonhosted.org/packages/83/88/1938d783727db1b178ff71bc6a6143d7939e406db83a9ec23cad3dad325c/pyarrow-18.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:01c034b576ce0eef554f7c3d8c341714954be9b3f5d5bc7117006b85fcf302fe", size = 38641884 }, - { url = "https://files.pythonhosted.org/packages/5e/b5/9e14e9f7590e0eaa435ecea84dabb137284a4dbba7b3c337b58b65b76d95/pyarrow-18.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:f266a2c0fc31995a06ebd30bcfdb7f615d7278035ec5b1cd71c48d56daaf30b0", size = 40076877 }, - { url = "https://files.pythonhosted.org/packages/4d/a3/817ac7fe0891a2d66e247e223080f3a6a262d8aefd77e11e8c27e6acf4e1/pyarrow-18.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:d4f13eee18433f99adefaeb7e01d83b59f73360c231d4782d9ddfaf1c3fbde0a", size = 25119811 }, - { url = "https://files.pythonhosted.org/packages/6a/50/12829e7111b932581e51dda51d5cb39207a056c30fe31ef43f14c63c4d7e/pyarrow-18.1.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:9f3a76670b263dc41d0ae877f09124ab96ce10e4e48f3e3e4257273cee61ad0d", size = 29514620 }, - { url = "https://files.pythonhosted.org/packages/d1/41/468c944eab157702e96abab3d07b48b8424927d4933541ab43788bb6964d/pyarrow-18.1.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:da31fbca07c435be88a0c321402c4e31a2ba61593ec7473630769de8346b54ee", size = 30856494 }, - { url = "https://files.pythonhosted.org/packages/68/f9/29fb659b390312a7345aeb858a9d9c157552a8852522f2c8bad437c29c0a/pyarrow-18.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:543ad8459bc438efc46d29a759e1079436290bd583141384c6f7a1068ed6f992", size = 39203624 }, - { url = "https://files.pythonhosted.org/packages/6e/f6/19360dae44200e35753c5c2889dc478154cd78e61b1f738514c9f131734d/pyarrow-18.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0743e503c55be0fdb5c08e7d44853da27f19dc854531c0570f9f394ec9671d54", size = 40139341 }, - { url = "https://files.pythonhosted.org/packages/bb/e6/9b3afbbcf10cc724312e824af94a2e993d8ace22994d823f5c35324cebf5/pyarrow-18.1.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:d4b3d2a34780645bed6414e22dda55a92e0fcd1b8a637fba86800ad737057e33", size = 38618629 }, - { url = "https://files.pythonhosted.org/packages/3a/2e/3b99f8a3d9e0ccae0e961978a0d0089b25fb46ebbcfb5ebae3cca179a5b3/pyarrow-18.1.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:c52f81aa6f6575058d8e2c782bf79d4f9fdc89887f16825ec3a66607a5dd8e30", size = 40078661 }, - { url = "https://files.pythonhosted.org/packages/76/52/f8da04195000099d394012b8d42c503d7041b79f778d854f410e5f05049a/pyarrow-18.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:0ad4892617e1a6c7a551cfc827e072a633eaff758fa09f21c4ee548c30bcaf99", size = 25092330 }, - { url = "https://files.pythonhosted.org/packages/cb/87/aa4d249732edef6ad88899399047d7e49311a55749d3c373007d034ee471/pyarrow-18.1.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:84e314d22231357d473eabec709d0ba285fa706a72377f9cc8e1cb3c8013813b", size = 29497406 }, - { url = "https://files.pythonhosted.org/packages/3c/c7/ed6adb46d93a3177540e228b5ca30d99fc8ea3b13bdb88b6f8b6467e2cb7/pyarrow-18.1.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:f591704ac05dfd0477bb8f8e0bd4b5dc52c1cadf50503858dce3a15db6e46ff2", size = 30835095 }, - { url = "https://files.pythonhosted.org/packages/41/d7/ed85001edfb96200ff606943cff71d64f91926ab42828676c0fc0db98963/pyarrow-18.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:acb7564204d3c40babf93a05624fc6a8ec1ab1def295c363afc40b0c9e66c191", size = 39194527 }, - { url = "https://files.pythonhosted.org/packages/59/16/35e28eab126342fa391593415d79477e89582de411bb95232f28b131a769/pyarrow-18.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:74de649d1d2ccb778f7c3afff6085bd5092aed4c23df9feeb45dd6b16f3811aa", size = 40131443 }, - { url = "https://files.pythonhosted.org/packages/0c/95/e855880614c8da20f4cd74fa85d7268c725cf0013dc754048593a38896a0/pyarrow-18.1.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:f96bd502cb11abb08efea6dab09c003305161cb6c9eafd432e35e76e7fa9b90c", size = 38608750 }, - { url = "https://files.pythonhosted.org/packages/54/9d/f253554b1457d4fdb3831b7bd5f8f00f1795585a606eabf6fec0a58a9c38/pyarrow-18.1.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:36ac22d7782554754a3b50201b607d553a8d71b78cdf03b33c1125be4b52397c", size = 40066690 }, - { url = "https://files.pythonhosted.org/packages/2f/58/8912a2563e6b8273e8aa7b605a345bba5a06204549826f6493065575ebc0/pyarrow-18.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:25dbacab8c5952df0ca6ca0af28f50d45bd31c1ff6fcf79e2d120b4a65ee7181", size = 25081054 }, - { url = "https://files.pythonhosted.org/packages/82/f9/d06ddc06cab1ada0c2f2fd205ac8c25c2701182de1b9c4bf7a0a44844431/pyarrow-18.1.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6a276190309aba7bc9d5bd2933230458b3521a4317acfefe69a354f2fe59f2bc", size = 29525542 }, - { url = "https://files.pythonhosted.org/packages/ab/94/8917e3b961810587ecbdaa417f8ebac0abb25105ae667b7aa11c05876976/pyarrow-18.1.0-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:ad514dbfcffe30124ce655d72771ae070f30bf850b48bc4d9d3b25993ee0e386", size = 30829412 }, - { url = "https://files.pythonhosted.org/packages/5e/e3/3b16c3190f3d71d3b10f6758d2d5f7779ef008c4fd367cedab3ed178a9f7/pyarrow-18.1.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aebc13a11ed3032d8dd6e7171eb6e86d40d67a5639d96c35142bd568b9299324", size = 39119106 }, - { url = "https://files.pythonhosted.org/packages/1d/d6/5d704b0d25c3c79532f8c0639f253ec2803b897100f64bcb3f53ced236e5/pyarrow-18.1.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d6cf5c05f3cee251d80e98726b5c7cc9f21bab9e9783673bac58e6dfab57ecc8", size = 40090940 }, - { url = "https://files.pythonhosted.org/packages/37/29/366bc7e588220d74ec00e497ac6710c2833c9176f0372fe0286929b2d64c/pyarrow-18.1.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:11b676cd410cf162d3f6a70b43fb9e1e40affbc542a1e9ed3681895f2962d3d9", size = 38548177 }, - { url = "https://files.pythonhosted.org/packages/c8/11/fabf6ecabb1fe5b7d96889228ca2a9158c4c3bb732e3b8ee3f7f6d40b703/pyarrow-18.1.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:b76130d835261b38f14fc41fdfb39ad8d672afb84c447126b84d5472244cfaba", size = 40043567 }, + { url = "https://files.pythonhosted.org/packages/33/de/8d8b373d0af779b5866f88ce2ba3774c7c36f712a1d00ed3251263325a2d/pyarrow-15.0.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:0a524532fd6dd482edaa563b686d754c70417c2f72742a8c990b322d4c03a15d", size = 27135268 }, + { url = "https://files.pythonhosted.org/packages/af/f0/f2145665535384d7048b60955aff4d90650e342d2131bfc23e27c4c6ea09/pyarrow-15.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:60a6bdb314affa9c2e0d5dddf3d9cbb9ef4a8dddaa68669975287d47ece67642", size = 24191267 }, + { url = "https://files.pythonhosted.org/packages/a9/e4/151ac8f5cb3fc51c80dbc8bc091a35674a896893eca97af3ed42ca47759f/pyarrow-15.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:66958fd1771a4d4b754cd385835e66a3ef6b12611e001d4e5edfcef5f30391e2", size = 36140271 }, + { url = "https://files.pythonhosted.org/packages/e5/d9/46f20f4ec32211534906eca1cc4156587fb06f6bce99fc73561c8e22a4a6/pyarrow-15.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f500956a49aadd907eaa21d4fff75f73954605eaa41f61cb94fb008cf2e00c6", size = 38391410 }, + { url = "https://files.pythonhosted.org/packages/5e/db/2c843e78e4e5f66c2a477a4f41989726e26e307e87d383928904f370aa3e/pyarrow-15.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:6f87d9c4f09e049c2cade559643424da84c43a35068f2a1c4653dc5b1408a929", size = 35634137 }, + { url = "https://files.pythonhosted.org/packages/d4/ca/ef67abb77f9dd51a0d3ff7fcebff58296068a046d7da352b9548070005ed/pyarrow-15.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:85239b9f93278e130d86c0e6bb455dcb66fc3fd891398b9d45ace8799a871a1e", size = 38313696 }, + { url = "https://files.pythonhosted.org/packages/5d/22/8fa2146c63476c14902c0cbeb34c363fb577745ee1d8bf69bd4a3a42e005/pyarrow-15.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:5b8d43e31ca16aa6e12402fcb1e14352d0d809de70edd185c7650fe80e0769e3", size = 24806824 }, + { url = "https://files.pythonhosted.org/packages/d5/fd/e7865a352e416f34057d6d6241c43d28901a67ce7531dca28c22fd4a6f36/pyarrow-15.0.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:fa7cd198280dbd0c988df525e50e35b5d16873e2cdae2aaaa6363cdb64e3eec5", size = 27173202 }, + { url = "https://files.pythonhosted.org/packages/de/33/fce52082865c1ad58ee3673f7cfbd19d24651ac2598244f940db29758da6/pyarrow-15.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8780b1a29d3c8b21ba6b191305a2a607de2e30dab399776ff0aa09131e266340", size = 24212865 }, + { url = "https://files.pythonhosted.org/packages/3b/c5/7f6adcf6dbb286e68b61112ab29236e5fb0fa7aaed9b823ab00bceb77f48/pyarrow-15.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fe0ec198ccc680f6c92723fadcb97b74f07c45ff3fdec9dd765deb04955ccf19", size = 36138202 }, + { url = "https://files.pythonhosted.org/packages/05/6d/8ab597e64dccb1fcd820e49cb381af7c25b8ea546a282eb30a1462e4acf7/pyarrow-15.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:036a7209c235588c2f07477fe75c07e6caced9b7b61bb897c8d4e52c4b5f9555", size = 38386862 }, + { url = "https://files.pythonhosted.org/packages/96/9e/00a64865d4e8e25f81db8bee45a101e4316ae1a33d4323e621c5681feab9/pyarrow-15.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2bd8a0e5296797faf9a3294e9fa2dc67aa7f10ae2207920dbebb785c77e9dbe5", size = 35652300 }, + { url = "https://files.pythonhosted.org/packages/85/55/636f006d963ddf77270fd294163e149b0719aaaf794de0d023aee88f6335/pyarrow-15.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:e8ebed6053dbe76883a822d4e8da36860f479d55a762bd9e70d8494aed87113e", size = 38327834 }, + { url = "https://files.pythonhosted.org/packages/db/1d/e8004776a69b5bad62b857367a9a2dff7c61d9606f341e549a174047349b/pyarrow-15.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:17d53a9d1b2b5bd7d5e4cd84d018e2a45bc9baaa68f7e6e3ebed45649900ba99", size = 24794223 }, + { url = "https://files.pythonhosted.org/packages/c0/54/408eec00be5afcc162f44e22c08d7127d7540e3827f5afaae8c8efaa8acb/pyarrow-15.0.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:9950a9c9df24090d3d558b43b97753b8f5867fb8e521f29876aa021c52fda351", size = 27085537 }, + { url = "https://files.pythonhosted.org/packages/a9/42/cf26eb201829c2d7656132a18056cb1d2037752cefc658b5ab9225a7de6f/pyarrow-15.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:003d680b5e422d0204e7287bb3fa775b332b3fce2996aa69e9adea23f5c8f970", size = 24181544 }, + { url = "https://files.pythonhosted.org/packages/4e/bd/194d125b3bc539fcf5fdd7c114a67777e0f2f6411dc29523e900f857b421/pyarrow-15.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f75fce89dad10c95f4bf590b765e3ae98bcc5ba9f6ce75adb828a334e26a3d40", size = 36137717 }, + { url = "https://files.pythonhosted.org/packages/2e/92/35ca0cf2ca392172c8a269bd7b62bcc8fbcff32492c5cd9bcbbf1adf0541/pyarrow-15.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ca9cb0039923bec49b4fe23803807e4ef39576a2bec59c32b11296464623dc2", size = 38399733 }, + { url = "https://files.pythonhosted.org/packages/fc/30/51adfac2367587073535dbd87da941d1a7f25d4ec2a71817bfe3e83277a5/pyarrow-15.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:9ed5a78ed29d171d0acc26a305a4b7f83c122d54ff5270810ac23c75813585e4", size = 35630638 }, + { url = "https://files.pythonhosted.org/packages/e7/4e/89fb1a40adbd6b09cc36ea295c1811135a9d9c1cd7f3716c36b5f0988777/pyarrow-15.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:6eda9e117f0402dfcd3cd6ec9bfee89ac5071c48fc83a84f3075b60efa96747f", size = 38333186 }, + { url = "https://files.pythonhosted.org/packages/1a/f7/f6df7992ef2339bbf31ba349de19af5b8fd75590129c4e8fcb719f24fe5f/pyarrow-15.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:9a3a6180c0e8f2727e6f1b1c87c72d3254cac909e609f35f22532e4115461177", size = 25263792 }, ] [[package]] @@ -3585,105 +2384,113 @@ wheels = [ [[package]] name = "pydantic" -version = "2.8.2" +version = "2.10.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "annotated-types" }, { name = "pydantic-core" }, { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/8c/99/d0a5dca411e0a017762258013ba9905cd6e7baa9a3fd1fe8b6529472902e/pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a", size = 739834 } +sdist = { url = "https://files.pythonhosted.org/packages/6a/c7/ca334c2ef6f2e046b1144fe4bb2a5da8a4c574e7f2ebf7e16b34a6a2fa92/pydantic-2.10.5.tar.gz", hash = "sha256:278b38dbbaec562011d659ee05f63346951b3a248a6f3642e1bc68894ea2b4ff", size = 761287 } wheels = [ - { url = "https://files.pythonhosted.org/packages/1f/fa/b7f815b8c9ad021c07f88875b601222ef5e70619391ade4a49234d12d278/pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8", size = 423875 }, + { url = "https://files.pythonhosted.org/packages/58/26/82663c79010b28eddf29dcdd0ea723439535fa917fce5905885c0e9ba562/pydantic-2.10.5-py3-none-any.whl", hash = "sha256:4dd4e322dbe55472cb7ca7e73f4b63574eecccf2835ffa2af9021ce113c83c53", size = 431426 }, ] [[package]] name = "pydantic-core" -version = "2.20.1" +version = "2.27.2" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "typing-extensions" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/12/e3/0d5ad91211dba310f7ded335f4dad871172b9cc9ce204f5a56d76ccd6247/pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4", size = 388371 } +sdist = { url = "https://files.pythonhosted.org/packages/fc/01/f3e5ac5e7c25833db5eb555f7b7ab24cd6f8c322d3a3ad2d67a952dc0abc/pydantic_core-2.27.2.tar.gz", hash = "sha256:eb026e5a4c1fee05726072337ff51d1efb6f59090b7da90d30ea58625b1ffb39", size = 413443 } wheels = [ - { url = "https://files.pythonhosted.org/packages/6b/9d/f30f080f745682e762512f3eef1f6e392c7d74a102e6e96de8a013a5db84/pydantic_core-2.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3acae97ffd19bf091c72df4d726d552c473f3576409b2a7ca36b2f535ffff4a3", size = 1837257 }, - { url = "https://files.pythonhosted.org/packages/f2/89/77e7aebdd4a235497ac1e07f0a99e9f40e47f6e0f6783fe30500df08fc42/pydantic_core-2.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:41f4c96227a67a013e7de5ff8f20fb496ce573893b7f4f2707d065907bffdbd6", size = 1776715 }, - { url = "https://files.pythonhosted.org/packages/18/50/5a4e9120b395108c2a0441a425356c0d26a655d7c617288bec1c28b854ac/pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f239eb799a2081495ea659d8d4a43a8f42cd1fe9ff2e7e436295c38a10c286a", size = 1789023 }, - { url = "https://files.pythonhosted.org/packages/c7/e5/f19e13ba86b968d024b56aa53f40b24828652ac026e5addd0ae49eeada02/pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:53e431da3fc53360db73eedf6f7124d1076e1b4ee4276b36fb25514544ceb4a3", size = 1775598 }, - { url = "https://files.pythonhosted.org/packages/c9/c7/f3c29bed28bd022c783baba5bf9946c4f694cb837a687e62f453c81eb5c6/pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1f62b2413c3a0e846c3b838b2ecd6c7a19ec6793b2a522745b0869e37ab5bc1", size = 1977691 }, - { url = "https://files.pythonhosted.org/packages/41/3e/f62c2a05c554fff34570f6788617e9670c83ed7bc07d62a55cccd1bc0be6/pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d41e6daee2813ecceea8eda38062d69e280b39df793f5a942fa515b8ed67953", size = 2693214 }, - { url = "https://files.pythonhosted.org/packages/ae/49/8a6fe79d35e2f3bea566d8ea0e4e6f436d4f749d7838c8e8c4c5148ae706/pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d482efec8b7dc6bfaedc0f166b2ce349df0011f5d2f1f25537ced4cfc34fd98", size = 2061047 }, - { url = "https://files.pythonhosted.org/packages/51/c6/585355c7c8561e11197dbf6333c57dd32f9f62165d48589b57ced2373d97/pydantic_core-2.20.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e93e1a4b4b33daed65d781a57a522ff153dcf748dee70b40c7258c5861e1768a", size = 1895106 }, - { url = "https://files.pythonhosted.org/packages/ce/23/829f6b87de0775919e82f8addef8b487ace1c77bb4cb754b217f7b1301b6/pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7c4ea22b6739b162c9ecaaa41d718dfad48a244909fe7ef4b54c0b530effc5a", size = 1968506 }, - { url = "https://files.pythonhosted.org/packages/ca/2f/f8ca8f0c40b3ee0a4d8730a51851adb14c5eda986ec09f8d754b2fba784e/pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4f2790949cf385d985a31984907fecb3896999329103df4e4983a4a41e13e840", size = 2110217 }, - { url = "https://files.pythonhosted.org/packages/bb/a0/1876656c7b17eb69cc683452cce6bb890dd722222a71b3de57ddb512f561/pydantic_core-2.20.1-cp310-none-win32.whl", hash = "sha256:5e999ba8dd90e93d57410c5e67ebb67ffcaadcea0ad973240fdfd3a135506250", size = 1709669 }, - { url = "https://files.pythonhosted.org/packages/be/4a/576524eefa9b301c088c4818dc50ff1c51a88fe29efd87ab75748ae15fd7/pydantic_core-2.20.1-cp310-none-win_amd64.whl", hash = "sha256:512ecfbefef6dac7bc5eaaf46177b2de58cdf7acac8793fe033b24ece0b9566c", size = 1902386 }, - { url = "https://files.pythonhosted.org/packages/61/db/f6a724db226d990a329910727cfac43539ff6969edc217286dd05cda3ef6/pydantic_core-2.20.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d2a8fa9d6d6f891f3deec72f5cc668e6f66b188ab14bb1ab52422fe8e644f312", size = 1834507 }, - { url = "https://files.pythonhosted.org/packages/9b/83/6f2bfe75209d557ae1c3550c1252684fc1827b8b12fbed84c3b4439e135d/pydantic_core-2.20.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:175873691124f3d0da55aeea1d90660a6ea7a3cfea137c38afa0a5ffabe37b88", size = 1773527 }, - { url = "https://files.pythonhosted.org/packages/93/ef/513ea76d7ca81f2354bb9c8d7839fc1157673e652613f7e1aff17d8ce05d/pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37eee5b638f0e0dcd18d21f59b679686bbd18917b87db0193ae36f9c23c355fc", size = 1787879 }, - { url = "https://files.pythonhosted.org/packages/31/0a/ac294caecf235f0cc651de6232f1642bb793af448d1cfc541b0dc1fd72b8/pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:25e9185e2d06c16ee438ed39bf62935ec436474a6ac4f9358524220f1b236e43", size = 1774694 }, - { url = "https://files.pythonhosted.org/packages/46/a4/08f12b5512f095963550a7cb49ae010e3f8f3f22b45e508c2cb4d7744fce/pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:150906b40ff188a3260cbee25380e7494ee85048584998c1e66df0c7a11c17a6", size = 1976369 }, - { url = "https://files.pythonhosted.org/packages/15/59/b2495be4410462aedb399071c71884042a2c6443319cbf62d00b4a7ed7a5/pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ad4aeb3e9a97286573c03df758fc7627aecdd02f1da04516a86dc159bf70121", size = 2691250 }, - { url = "https://files.pythonhosted.org/packages/3c/ae/fc99ce1ba791c9e9d1dee04ce80eef1dae5b25b27e3fc8e19f4e3f1348bf/pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3f3ed29cd9f978c604708511a1f9c2fdcb6c38b9aae36a51905b8811ee5cbf1", size = 2061462 }, - { url = "https://files.pythonhosted.org/packages/44/bb/eb07cbe47cfd638603ce3cb8c220f1a054b821e666509e535f27ba07ca5f/pydantic_core-2.20.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b0dae11d8f5ded51699c74d9548dcc5938e0804cc8298ec0aa0da95c21fff57b", size = 1893923 }, - { url = "https://files.pythonhosted.org/packages/ce/ef/5a52400553b8faa0e7f11fd7a2ba11e8d2feb50b540f9e7973c49b97eac0/pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:faa6b09ee09433b87992fb5a2859efd1c264ddc37280d2dd5db502126d0e7f27", size = 1966779 }, - { url = "https://files.pythonhosted.org/packages/4c/5b/fb37fe341344d9651f5c5f579639cd97d50a457dc53901aa8f7e9f28beb9/pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9dc1b507c12eb0481d071f3c1808f0529ad41dc415d0ca11f7ebfc666e66a18b", size = 2109044 }, - { url = "https://files.pythonhosted.org/packages/70/1a/6f7278802dbc66716661618807ab0dfa4fc32b09d1235923bbbe8b3a5757/pydantic_core-2.20.1-cp311-none-win32.whl", hash = "sha256:fa2fddcb7107e0d1808086ca306dcade7df60a13a6c347a7acf1ec139aa6789a", size = 1708265 }, - { url = "https://files.pythonhosted.org/packages/35/7f/58758c42c61b0bdd585158586fecea295523d49933cb33664ea888162daf/pydantic_core-2.20.1-cp311-none-win_amd64.whl", hash = "sha256:40a783fb7ee353c50bd3853e626f15677ea527ae556429453685ae32280c19c2", size = 1901750 }, - { url = "https://files.pythonhosted.org/packages/6f/47/ef0d60ae23c41aced42921728650460dc831a0adf604bfa66b76028cb4d0/pydantic_core-2.20.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:595ba5be69b35777474fa07f80fc260ea71255656191adb22a8c53aba4479231", size = 1839225 }, - { url = "https://files.pythonhosted.org/packages/6a/23/430f2878c9cd977a61bb39f71751d9310ec55cee36b3d5bf1752c6341fd0/pydantic_core-2.20.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a4f55095ad087474999ee28d3398bae183a66be4823f753cd7d67dd0153427c9", size = 1768604 }, - { url = "https://files.pythonhosted.org/packages/9e/2b/ec4e7225dee79e0dc80ccc3c35ab33cc2c4bbb8a1a7ecf060e5e453651ec/pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f9aa05d09ecf4c75157197f27cdc9cfaeb7c5f15021c6373932bf3e124af029f", size = 1789767 }, - { url = "https://files.pythonhosted.org/packages/64/b0/38b24a1fa6d2f96af3148362e10737ec073768cd44d3ec21dca3be40a519/pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e97fdf088d4b31ff4ba35db26d9cc472ac7ef4a2ff2badeabf8d727b3377fc52", size = 1772061 }, - { url = "https://files.pythonhosted.org/packages/5e/da/bb73274c42cb60decfa61e9eb0c9029da78b3b9af0a9de0309dbc8ff87b6/pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc633a9fe1eb87e250b5c57d389cf28998e4292336926b0b6cdaee353f89a237", size = 1974573 }, - { url = "https://files.pythonhosted.org/packages/c8/65/41693110fb3552556180460daffdb8bbeefb87fc026fd9aa4b849374015c/pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d573faf8eb7e6b1cbbcb4f5b247c60ca8be39fe2c674495df0eb4318303137fe", size = 2625596 }, - { url = "https://files.pythonhosted.org/packages/09/b3/a5a54b47cccd1ab661ed5775235c5e06924753c2d4817737c5667bfa19a8/pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26dc97754b57d2fd00ac2b24dfa341abffc380b823211994c4efac7f13b9e90e", size = 2099064 }, - { url = "https://files.pythonhosted.org/packages/52/fa/443a7a6ea54beaba45ff3a59f3d3e6e3004b7460bcfb0be77bcf98719d3b/pydantic_core-2.20.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:33499e85e739a4b60c9dac710c20a08dc73cb3240c9a0e22325e671b27b70d24", size = 1900345 }, - { url = "https://files.pythonhosted.org/packages/8e/e6/9aca9ffae60f9cdf0183069de3e271889b628d0fb175913fcb3db5618fb1/pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:bebb4d6715c814597f85297c332297c6ce81e29436125ca59d1159b07f423eb1", size = 1968252 }, - { url = "https://files.pythonhosted.org/packages/46/5e/6c716810ea20a6419188992973a73c2fb4eb99cd382368d0637ddb6d3c99/pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:516d9227919612425c8ef1c9b869bbbee249bc91912c8aaffb66116c0b447ebd", size = 2119191 }, - { url = "https://files.pythonhosted.org/packages/06/fc/6123b00a9240fbb9ae0babad7a005d51103d9a5d39c957a986f5cdd0c271/pydantic_core-2.20.1-cp312-none-win32.whl", hash = "sha256:469f29f9093c9d834432034d33f5fe45699e664f12a13bf38c04967ce233d688", size = 1717788 }, - { url = "https://files.pythonhosted.org/packages/d5/36/e61ad5a46607a469e2786f398cd671ebafcd9fb17f09a2359985c7228df5/pydantic_core-2.20.1-cp312-none-win_amd64.whl", hash = "sha256:035ede2e16da7281041f0e626459bcae33ed998cca6a0a007a5ebb73414ac72d", size = 1898188 }, - { url = "https://files.pythonhosted.org/packages/49/75/40b0e98b658fdba02a693b3bacb4c875a28bba87796c7b13975976597d8c/pydantic_core-2.20.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:0827505a5c87e8aa285dc31e9ec7f4a17c81a813d45f70b1d9164e03a813a686", size = 1838688 }, - { url = "https://files.pythonhosted.org/packages/75/02/d8ba2d4a266591a6a623c68b331b96523d4b62ab82a951794e3ed8907390/pydantic_core-2.20.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:19c0fa39fa154e7e0b7f82f88ef85faa2a4c23cc65aae2f5aea625e3c13c735a", size = 1768409 }, - { url = "https://files.pythonhosted.org/packages/91/ae/25ecd9bc4ce4993e99a1a3c9ab111c082630c914260e129572fafed4ecc2/pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4aa223cd1e36b642092c326d694d8bf59b71ddddc94cdb752bbbb1c5c91d833b", size = 1789317 }, - { url = "https://files.pythonhosted.org/packages/7a/80/72057580681cdbe55699c367963d9c661b569a1d39338b4f6239faf36cdc/pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c336a6d235522a62fef872c6295a42ecb0c4e1d0f1a3e500fe949415761b8a19", size = 1771949 }, - { url = "https://files.pythonhosted.org/packages/a2/be/d9bbabc55b05019013180f141fcaf3b14dbe15ca7da550e95b60c321009a/pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7eb6a0587eded33aeefea9f916899d42b1799b7b14b8f8ff2753c0ac1741edac", size = 1974392 }, - { url = "https://files.pythonhosted.org/packages/79/2d/7bcd938c6afb0f40293283f5f09988b61fb0a4f1d180abe7c23a2f665f8e/pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:70c8daf4faca8da5a6d655f9af86faf6ec2e1768f4b8b9d0226c02f3d6209703", size = 2625565 }, - { url = "https://files.pythonhosted.org/packages/ac/88/ca758e979457096008a4b16a064509028e3e092a1e85a5ed6c18ced8da88/pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9fa4c9bf273ca41f940bceb86922a7667cd5bf90e95dbb157cbb8441008482c", size = 2098784 }, - { url = "https://files.pythonhosted.org/packages/eb/de/2fad6d63c3c42e472e985acb12ec45b7f56e42e6f4cd6dfbc5e87ee8678c/pydantic_core-2.20.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:11b71d67b4725e7e2a9f6e9c0ac1239bbc0c48cce3dc59f98635efc57d6dac83", size = 1900198 }, - { url = "https://files.pythonhosted.org/packages/fe/50/077c7f35b6488dc369a6d22993af3a37901e198630f38ac43391ca730f5b/pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:270755f15174fb983890c49881e93f8f1b80f0b5e3a3cc1394a255706cabd203", size = 1968005 }, - { url = "https://files.pythonhosted.org/packages/5d/1f/f378631574ead46d636b9a04a80ff878b9365d4b361b1905ef1667d4182a/pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c81131869240e3e568916ef4c307f8b99583efaa60a8112ef27a366eefba8ef0", size = 2118920 }, - { url = "https://files.pythonhosted.org/packages/7a/ea/e4943f17df7a3031d709481fe4363d4624ae875a6409aec34c28c9e6cf59/pydantic_core-2.20.1-cp313-none-win32.whl", hash = "sha256:b91ced227c41aa29c672814f50dbb05ec93536abf8f43cd14ec9521ea09afe4e", size = 1717397 }, - { url = "https://files.pythonhosted.org/packages/13/63/b95781763e8d84207025071c0cec16d921c0163c7a9033ae4b9a0e020dc7/pydantic_core-2.20.1-cp313-none-win_amd64.whl", hash = "sha256:65db0f2eefcaad1a3950f498aabb4875c8890438bc80b19362cf633b87a8ab20", size = 1898013 }, - { url = "https://files.pythonhosted.org/packages/73/73/0c7265903f66cce39ed7ca939684fba344210cefc91ccc999cfd5b113fd3/pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a45f84b09ac9c3d35dfcf6a27fd0634d30d183205230a0ebe8373a0e8cfa0906", size = 1828190 }, - { url = "https://files.pythonhosted.org/packages/27/55/60b8b0e58b49ee3ed36a18562dd7c6bc06a551c390e387af5872a238f2ec/pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d02a72df14dfdbaf228424573a07af10637bd490f0901cee872c4f434a735b94", size = 1715252 }, - { url = "https://files.pythonhosted.org/packages/28/3d/d66314bad6bb777a36559195a007b31e916bd9e2c198f7bb8f4ccdceb4fa/pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2b27e6af28f07e2f195552b37d7d66b150adbaa39a6d327766ffd695799780f", size = 1782641 }, - { url = "https://files.pythonhosted.org/packages/9e/f5/f178f4354d0d6c1431a8f9ede71f3c4269ac4dc55d314fdb7555814276dc/pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:084659fac3c83fd674596612aeff6041a18402f1e1bc19ca39e417d554468482", size = 1928788 }, - { url = "https://files.pythonhosted.org/packages/9c/51/1f5e27bb194df79e30b593b608c66e881ed481241e2b9ed5bdf86d165480/pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:242b8feb3c493ab78be289c034a1f659e8826e2233786e36f2893a950a719bb6", size = 1886116 }, - { url = "https://files.pythonhosted.org/packages/ac/76/450d9258c58dc7c70b9e3aadf6bebe23ddd99e459c365e2adbde80e238da/pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:38cf1c40a921d05c5edc61a785c0ddb4bed67827069f535d794ce6bcded919fc", size = 1960125 }, - { url = "https://files.pythonhosted.org/packages/dd/9e/0309a7a4bea51771729515e413b3987be0789837de99087f7415e0db1f9b/pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e0bbdd76ce9aa5d4209d65f2b27fc6e5ef1312ae6c5333c26db3f5ade53a1e99", size = 2100407 }, - { url = "https://files.pythonhosted.org/packages/af/93/06d44e08277b3b818b75bd5f25e879d7693e4b7dd3505fde89916fcc9ca2/pydantic_core-2.20.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:254ec27fdb5b1ee60684f91683be95e5133c994cc54e86a0b0963afa25c8f8a6", size = 1914966 }, + { url = "https://files.pythonhosted.org/packages/3a/bc/fed5f74b5d802cf9a03e83f60f18864e90e3aed7223adaca5ffb7a8d8d64/pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa", size = 1895938 }, + { url = "https://files.pythonhosted.org/packages/71/2a/185aff24ce844e39abb8dd680f4e959f0006944f4a8a0ea372d9f9ae2e53/pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c", size = 1815684 }, + { url = "https://files.pythonhosted.org/packages/c3/43/fafabd3d94d159d4f1ed62e383e264f146a17dd4d48453319fd782e7979e/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7969e133a6f183be60e9f6f56bfae753585680f3b7307a8e555a948d443cc05a", size = 1829169 }, + { url = "https://files.pythonhosted.org/packages/a2/d1/f2dfe1a2a637ce6800b799aa086d079998959f6f1215eb4497966efd2274/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3de9961f2a346257caf0aa508a4da705467f53778e9ef6fe744c038119737ef5", size = 1867227 }, + { url = "https://files.pythonhosted.org/packages/7d/39/e06fcbcc1c785daa3160ccf6c1c38fea31f5754b756e34b65f74e99780b5/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e2bb4d3e5873c37bb3dd58714d4cd0b0e6238cebc4177ac8fe878f8b3aa8e74c", size = 2037695 }, + { url = "https://files.pythonhosted.org/packages/7a/67/61291ee98e07f0650eb756d44998214231f50751ba7e13f4f325d95249ab/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:280d219beebb0752699480fe8f1dc61ab6615c2046d76b7ab7ee38858de0a4e7", size = 2741662 }, + { url = "https://files.pythonhosted.org/packages/32/90/3b15e31b88ca39e9e626630b4c4a1f5a0dfd09076366f4219429e6786076/pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47956ae78b6422cbd46f772f1746799cbb862de838fd8d1fbd34a82e05b0983a", size = 1993370 }, + { url = "https://files.pythonhosted.org/packages/ff/83/c06d333ee3a67e2e13e07794995c1535565132940715931c1c43bfc85b11/pydantic_core-2.27.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:14d4a5c49d2f009d62a2a7140d3064f686d17a5d1a268bc641954ba181880236", size = 1996813 }, + { url = "https://files.pythonhosted.org/packages/7c/f7/89be1c8deb6e22618a74f0ca0d933fdcb8baa254753b26b25ad3acff8f74/pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:337b443af21d488716f8d0b6164de833e788aa6bd7e3a39c005febc1284f4962", size = 2005287 }, + { url = "https://files.pythonhosted.org/packages/b7/7d/8eb3e23206c00ef7feee17b83a4ffa0a623eb1a9d382e56e4aa46fd15ff2/pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:03d0f86ea3184a12f41a2d23f7ccb79cdb5a18e06993f8a45baa8dfec746f0e9", size = 2128414 }, + { url = "https://files.pythonhosted.org/packages/4e/99/fe80f3ff8dd71a3ea15763878d464476e6cb0a2db95ff1c5c554133b6b83/pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7041c36f5680c6e0f08d922aed302e98b3745d97fe1589db0a3eebf6624523af", size = 2155301 }, + { url = "https://files.pythonhosted.org/packages/2b/a3/e50460b9a5789ca1451b70d4f52546fa9e2b420ba3bfa6100105c0559238/pydantic_core-2.27.2-cp310-cp310-win32.whl", hash = "sha256:50a68f3e3819077be2c98110c1f9dcb3817e93f267ba80a2c05bb4f8799e2ff4", size = 1816685 }, + { url = "https://files.pythonhosted.org/packages/57/4c/a8838731cb0f2c2a39d3535376466de6049034d7b239c0202a64aaa05533/pydantic_core-2.27.2-cp310-cp310-win_amd64.whl", hash = "sha256:e0fd26b16394ead34a424eecf8a31a1f5137094cabe84a1bcb10fa6ba39d3d31", size = 1982876 }, + { url = "https://files.pythonhosted.org/packages/c2/89/f3450af9d09d44eea1f2c369f49e8f181d742f28220f88cc4dfaae91ea6e/pydantic_core-2.27.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8e10c99ef58cfdf2a66fc15d66b16c4a04f62bca39db589ae8cba08bc55331bc", size = 1893421 }, + { url = "https://files.pythonhosted.org/packages/9e/e3/71fe85af2021f3f386da42d291412e5baf6ce7716bd7101ea49c810eda90/pydantic_core-2.27.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:26f32e0adf166a84d0cb63be85c562ca8a6fa8de28e5f0d92250c6b7e9e2aff7", size = 1814998 }, + { url = "https://files.pythonhosted.org/packages/a6/3c/724039e0d848fd69dbf5806894e26479577316c6f0f112bacaf67aa889ac/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c19d1ea0673cd13cc2f872f6c9ab42acc4e4f492a7ca9d3795ce2b112dd7e15", size = 1826167 }, + { url = "https://files.pythonhosted.org/packages/2b/5b/1b29e8c1fb5f3199a9a57c1452004ff39f494bbe9bdbe9a81e18172e40d3/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e68c4446fe0810e959cdff46ab0a41ce2f2c86d227d96dc3847af0ba7def306", size = 1865071 }, + { url = "https://files.pythonhosted.org/packages/89/6c/3985203863d76bb7d7266e36970d7e3b6385148c18a68cc8915fd8c84d57/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9640b0059ff4f14d1f37321b94061c6db164fbe49b334b31643e0528d100d99", size = 2036244 }, + { url = "https://files.pythonhosted.org/packages/0e/41/f15316858a246b5d723f7d7f599f79e37493b2e84bfc789e58d88c209f8a/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:40d02e7d45c9f8af700f3452f329ead92da4c5f4317ca9b896de7ce7199ea459", size = 2737470 }, + { url = "https://files.pythonhosted.org/packages/a8/7c/b860618c25678bbd6d1d99dbdfdf0510ccb50790099b963ff78a124b754f/pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1fd185014191700554795c99b347d64f2bb637966c4cfc16998a0ca700d048", size = 1992291 }, + { url = "https://files.pythonhosted.org/packages/bf/73/42c3742a391eccbeab39f15213ecda3104ae8682ba3c0c28069fbcb8c10d/pydantic_core-2.27.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d81d2068e1c1228a565af076598f9e7451712700b673de8f502f0334f281387d", size = 1994613 }, + { url = "https://files.pythonhosted.org/packages/94/7a/941e89096d1175d56f59340f3a8ebaf20762fef222c298ea96d36a6328c5/pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a4207639fb02ec2dbb76227d7c751a20b1a6b4bc52850568e52260cae64ca3b", size = 2002355 }, + { url = "https://files.pythonhosted.org/packages/6e/95/2359937a73d49e336a5a19848713555605d4d8d6940c3ec6c6c0ca4dcf25/pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:3de3ce3c9ddc8bbd88f6e0e304dea0e66d843ec9de1b0042b0911c1663ffd474", size = 2126661 }, + { url = "https://files.pythonhosted.org/packages/2b/4c/ca02b7bdb6012a1adef21a50625b14f43ed4d11f1fc237f9d7490aa5078c/pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:30c5f68ded0c36466acede341551106821043e9afaad516adfb6e8fa80a4e6a6", size = 2153261 }, + { url = "https://files.pythonhosted.org/packages/72/9d/a241db83f973049a1092a079272ffe2e3e82e98561ef6214ab53fe53b1c7/pydantic_core-2.27.2-cp311-cp311-win32.whl", hash = "sha256:c70c26d2c99f78b125a3459f8afe1aed4d9687c24fd677c6a4436bc042e50d6c", size = 1812361 }, + { url = "https://files.pythonhosted.org/packages/e8/ef/013f07248041b74abd48a385e2110aa3a9bbfef0fbd97d4e6d07d2f5b89a/pydantic_core-2.27.2-cp311-cp311-win_amd64.whl", hash = "sha256:08e125dbdc505fa69ca7d9c499639ab6407cfa909214d500897d02afb816e7cc", size = 1982484 }, + { url = "https://files.pythonhosted.org/packages/10/1c/16b3a3e3398fd29dca77cea0a1d998d6bde3902fa2706985191e2313cc76/pydantic_core-2.27.2-cp311-cp311-win_arm64.whl", hash = "sha256:26f0d68d4b235a2bae0c3fc585c585b4ecc51382db0e3ba402a22cbc440915e4", size = 1867102 }, + { url = "https://files.pythonhosted.org/packages/d6/74/51c8a5482ca447871c93e142d9d4a92ead74de6c8dc5e66733e22c9bba89/pydantic_core-2.27.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9e0c8cfefa0ef83b4da9588448b6d8d2a2bf1a53c3f1ae5fca39eb3061e2f0b0", size = 1893127 }, + { url = "https://files.pythonhosted.org/packages/d3/f3/c97e80721735868313c58b89d2de85fa80fe8dfeeed84dc51598b92a135e/pydantic_core-2.27.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:83097677b8e3bd7eaa6775720ec8e0405f1575015a463285a92bfdfe254529ef", size = 1811340 }, + { url = "https://files.pythonhosted.org/packages/9e/91/840ec1375e686dbae1bd80a9e46c26a1e0083e1186abc610efa3d9a36180/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:172fce187655fece0c90d90a678424b013f8fbb0ca8b036ac266749c09438cb7", size = 1822900 }, + { url = "https://files.pythonhosted.org/packages/f6/31/4240bc96025035500c18adc149aa6ffdf1a0062a4b525c932065ceb4d868/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:519f29f5213271eeeeb3093f662ba2fd512b91c5f188f3bb7b27bc5973816934", size = 1869177 }, + { url = "https://files.pythonhosted.org/packages/fa/20/02fbaadb7808be578317015c462655c317a77a7c8f0ef274bc016a784c54/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05e3a55d124407fffba0dd6b0c0cd056d10e983ceb4e5dbd10dda135c31071d6", size = 2038046 }, + { url = "https://files.pythonhosted.org/packages/06/86/7f306b904e6c9eccf0668248b3f272090e49c275bc488a7b88b0823444a4/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c3ed807c7b91de05e63930188f19e921d1fe90de6b4f5cd43ee7fcc3525cb8c", size = 2685386 }, + { url = "https://files.pythonhosted.org/packages/8d/f0/49129b27c43396581a635d8710dae54a791b17dfc50c70164866bbf865e3/pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fb4aadc0b9a0c063206846d603b92030eb6f03069151a625667f982887153e2", size = 1997060 }, + { url = "https://files.pythonhosted.org/packages/0d/0f/943b4af7cd416c477fd40b187036c4f89b416a33d3cc0ab7b82708a667aa/pydantic_core-2.27.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:28ccb213807e037460326424ceb8b5245acb88f32f3d2777427476e1b32c48c4", size = 2004870 }, + { url = "https://files.pythonhosted.org/packages/35/40/aea70b5b1a63911c53a4c8117c0a828d6790483f858041f47bab0b779f44/pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:de3cd1899e2c279b140adde9357c4495ed9d47131b4a4eaff9052f23398076b3", size = 1999822 }, + { url = "https://files.pythonhosted.org/packages/f2/b3/807b94fd337d58effc5498fd1a7a4d9d59af4133e83e32ae39a96fddec9d/pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:220f892729375e2d736b97d0e51466252ad84c51857d4d15f5e9692f9ef12be4", size = 2130364 }, + { url = "https://files.pythonhosted.org/packages/fc/df/791c827cd4ee6efd59248dca9369fb35e80a9484462c33c6649a8d02b565/pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a0fcd29cd6b4e74fe8ddd2c90330fd8edf2e30cb52acda47f06dd615ae72da57", size = 2158303 }, + { url = "https://files.pythonhosted.org/packages/9b/67/4e197c300976af185b7cef4c02203e175fb127e414125916bf1128b639a9/pydantic_core-2.27.2-cp312-cp312-win32.whl", hash = "sha256:1e2cb691ed9834cd6a8be61228471d0a503731abfb42f82458ff27be7b2186fc", size = 1834064 }, + { url = "https://files.pythonhosted.org/packages/1f/ea/cd7209a889163b8dcca139fe32b9687dd05249161a3edda62860430457a5/pydantic_core-2.27.2-cp312-cp312-win_amd64.whl", hash = "sha256:cc3f1a99a4f4f9dd1de4fe0312c114e740b5ddead65bb4102884b384c15d8bc9", size = 1989046 }, + { url = "https://files.pythonhosted.org/packages/bc/49/c54baab2f4658c26ac633d798dab66b4c3a9bbf47cff5284e9c182f4137a/pydantic_core-2.27.2-cp312-cp312-win_arm64.whl", hash = "sha256:3911ac9284cd8a1792d3cb26a2da18f3ca26c6908cc434a18f730dc0db7bfa3b", size = 1885092 }, + { url = "https://files.pythonhosted.org/packages/41/b1/9bc383f48f8002f99104e3acff6cba1231b29ef76cfa45d1506a5cad1f84/pydantic_core-2.27.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7d14bd329640e63852364c306f4d23eb744e0f8193148d4044dd3dacdaacbd8b", size = 1892709 }, + { url = "https://files.pythonhosted.org/packages/10/6c/e62b8657b834f3eb2961b49ec8e301eb99946245e70bf42c8817350cbefc/pydantic_core-2.27.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:82f91663004eb8ed30ff478d77c4d1179b3563df6cdb15c0817cd1cdaf34d154", size = 1811273 }, + { url = "https://files.pythonhosted.org/packages/ba/15/52cfe49c8c986e081b863b102d6b859d9defc63446b642ccbbb3742bf371/pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71b24c7d61131bb83df10cc7e687433609963a944ccf45190cfc21e0887b08c9", size = 1823027 }, + { url = "https://files.pythonhosted.org/packages/b1/1c/b6f402cfc18ec0024120602bdbcebc7bdd5b856528c013bd4d13865ca473/pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fa8e459d4954f608fa26116118bb67f56b93b209c39b008277ace29937453dc9", size = 1868888 }, + { url = "https://files.pythonhosted.org/packages/bd/7b/8cb75b66ac37bc2975a3b7de99f3c6f355fcc4d89820b61dffa8f1e81677/pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce8918cbebc8da707ba805b7fd0b382816858728ae7fe19a942080c24e5b7cd1", size = 2037738 }, + { url = "https://files.pythonhosted.org/packages/c8/f1/786d8fe78970a06f61df22cba58e365ce304bf9b9f46cc71c8c424e0c334/pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eda3f5c2a021bbc5d976107bb302e0131351c2ba54343f8a496dc8783d3d3a6a", size = 2685138 }, + { url = "https://files.pythonhosted.org/packages/a6/74/d12b2cd841d8724dc8ffb13fc5cef86566a53ed358103150209ecd5d1999/pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd8086fa684c4775c27f03f062cbb9eaa6e17f064307e86b21b9e0abc9c0f02e", size = 1997025 }, + { url = "https://files.pythonhosted.org/packages/a0/6e/940bcd631bc4d9a06c9539b51f070b66e8f370ed0933f392db6ff350d873/pydantic_core-2.27.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8d9b3388db186ba0c099a6d20f0604a44eabdeef1777ddd94786cdae158729e4", size = 2004633 }, + { url = "https://files.pythonhosted.org/packages/50/cc/a46b34f1708d82498c227d5d80ce615b2dd502ddcfd8376fc14a36655af1/pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7a66efda2387de898c8f38c0cf7f14fca0b51a8ef0b24bfea5849f1b3c95af27", size = 1999404 }, + { url = "https://files.pythonhosted.org/packages/ca/2d/c365cfa930ed23bc58c41463bae347d1005537dc8db79e998af8ba28d35e/pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:18a101c168e4e092ab40dbc2503bdc0f62010e95d292b27827871dc85450d7ee", size = 2130130 }, + { url = "https://files.pythonhosted.org/packages/f4/d7/eb64d015c350b7cdb371145b54d96c919d4db516817f31cd1c650cae3b21/pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ba5dd002f88b78a4215ed2f8ddbdf85e8513382820ba15ad5ad8955ce0ca19a1", size = 2157946 }, + { url = "https://files.pythonhosted.org/packages/a4/99/bddde3ddde76c03b65dfd5a66ab436c4e58ffc42927d4ff1198ffbf96f5f/pydantic_core-2.27.2-cp313-cp313-win32.whl", hash = "sha256:1ebaf1d0481914d004a573394f4be3a7616334be70261007e47c2a6fe7e50130", size = 1834387 }, + { url = "https://files.pythonhosted.org/packages/71/47/82b5e846e01b26ac6f1893d3c5f9f3a2eb6ba79be26eef0b759b4fe72946/pydantic_core-2.27.2-cp313-cp313-win_amd64.whl", hash = "sha256:953101387ecf2f5652883208769a79e48db18c6df442568a0b5ccd8c2723abee", size = 1990453 }, + { url = "https://files.pythonhosted.org/packages/51/b2/b2b50d5ecf21acf870190ae5d093602d95f66c9c31f9d5de6062eb329ad1/pydantic_core-2.27.2-cp313-cp313-win_arm64.whl", hash = "sha256:ac4dbfd1691affb8f48c2c13241a2e3b60ff23247cbcf981759c768b6633cf8b", size = 1885186 }, + { url = "https://files.pythonhosted.org/packages/46/72/af70981a341500419e67d5cb45abe552a7c74b66326ac8877588488da1ac/pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2bf14caea37e91198329b828eae1618c068dfb8ef17bb33287a7ad4b61ac314e", size = 1891159 }, + { url = "https://files.pythonhosted.org/packages/ad/3d/c5913cccdef93e0a6a95c2d057d2c2cba347815c845cda79ddd3c0f5e17d/pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:b0cb791f5b45307caae8810c2023a184c74605ec3bcbb67d13846c28ff731ff8", size = 1768331 }, + { url = "https://files.pythonhosted.org/packages/f6/f0/a3ae8fbee269e4934f14e2e0e00928f9346c5943174f2811193113e58252/pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:688d3fd9fcb71f41c4c015c023d12a79d1c4c0732ec9eb35d96e3388a120dcf3", size = 1822467 }, + { url = "https://files.pythonhosted.org/packages/d7/7a/7bbf241a04e9f9ea24cd5874354a83526d639b02674648af3f350554276c/pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d591580c34f4d731592f0e9fe40f9cc1b430d297eecc70b962e93c5c668f15f", size = 1979797 }, + { url = "https://files.pythonhosted.org/packages/4f/5f/4784c6107731f89e0005a92ecb8a2efeafdb55eb992b8e9d0a2be5199335/pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:82f986faf4e644ffc189a7f1aafc86e46ef70372bb153e7001e8afccc6e54133", size = 1987839 }, + { url = "https://files.pythonhosted.org/packages/6d/a7/61246562b651dff00de86a5f01b6e4befb518df314c54dec187a78d81c84/pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:bec317a27290e2537f922639cafd54990551725fc844249e64c523301d0822fc", size = 1998861 }, + { url = "https://files.pythonhosted.org/packages/86/aa/837821ecf0c022bbb74ca132e117c358321e72e7f9702d1b6a03758545e2/pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:0296abcb83a797db256b773f45773da397da75a08f5fcaef41f2044adec05f50", size = 2116582 }, + { url = "https://files.pythonhosted.org/packages/81/b0/5e74656e95623cbaa0a6278d16cf15e10a51f6002e3ec126541e95c29ea3/pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0d75070718e369e452075a6017fbf187f788e17ed67a3abd47fa934d001863d9", size = 2151985 }, + { url = "https://files.pythonhosted.org/packages/63/37/3e32eeb2a451fddaa3898e2163746b0cffbbdbb4740d38372db0490d67f3/pydantic_core-2.27.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7e17b560be3c98a8e3aa66ce828bdebb9e9ac6ad5466fba92eb74c4c95cb1151", size = 2004715 }, ] [[package]] name = "pydantic-settings" -version = "2.7.0" +version = "2.7.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "pydantic" }, { name = "python-dotenv" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/86/41/19b62b99e7530cfa1d6ccd16199afd9289a12929bef1a03aa4382b22e683/pydantic_settings-2.7.0.tar.gz", hash = "sha256:ac4bfd4a36831a48dbf8b2d9325425b549a0a6f18cea118436d728eb4f1c4d66", size = 79743 } +sdist = { url = "https://files.pythonhosted.org/packages/73/7b/c58a586cd7d9ac66d2ee4ba60ca2d241fa837c02bca9bea80a9a8c3d22a9/pydantic_settings-2.7.1.tar.gz", hash = "sha256:10c9caad35e64bfb3c2fbf70a078c0e25cc92499782e5200747f942a065dec93", size = 79920 } wheels = [ - { url = "https://files.pythonhosted.org/packages/f9/00/57b4540deb5c3a39ba689bb519a4e03124b24ab8589e618be4aac2c769bd/pydantic_settings-2.7.0-py3-none-any.whl", hash = "sha256:e00c05d5fa6cbbb227c84bd7487c5c1065084119b750df7c8c1a554aed236eb5", size = 29549 }, + { url = "https://files.pythonhosted.org/packages/b4/46/93416fdae86d40879714f72956ac14df9c7b76f7d41a4d68aa9f71a0028b/pydantic_settings-2.7.1-py3-none-any.whl", hash = "sha256:590be9e6e24d06db33a4262829edef682500ef008565a969c73d39d5f8bfb3fd", size = 29718 }, ] [[package]] name = "pygments" -version = "2.18.0" +version = "2.19.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/8e/62/8336eff65bcbc8e4cb5d05b55faf041285951b6e80f33e2bff2024788f31/pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199", size = 4891905 } +sdist = { url = "https://files.pythonhosted.org/packages/7c/2d/c3338d48ea6cc0feb8446d8e6937e1408088a72a39937982cc6111d17f84/pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f", size = 4968581 } wheels = [ - { url = "https://files.pythonhosted.org/packages/f7/3f/01c8b82017c199075f8f788d0d906b9ffbbc5a47dc9918a945e13d5a2bda/pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a", size = 1205513 }, + { url = "https://files.pythonhosted.org/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c", size = 1225293 }, ] [[package]] @@ -3717,59 +2524,13 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/dd/24/126b0e37b30bf567ed31151f8adf009ee5d8eb68c613bc33e5f523f0d710/pylance-0.19.2-cp39-abi3-win_amd64.whl", hash = "sha256:70d47d94521fc973460c8d765c3960db79a1f676aab658434693ab3e5a7112c1", size = 28575346 }, ] -[[package]] -name = "pylint" -version = "3.3.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "astroid" }, - { name = "colorama", marker = "sys_platform == 'win32'" }, - { name = "dill" }, - { name = "isort" }, - { name = "mccabe" }, - { name = "platformdirs" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, - { name = "tomlkit" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/81/d8/4471b2cb4ad18b4af717918c468209bd2bd5a02c52f60be5ee8a71b5af2c/pylint-3.3.2.tar.gz", hash = "sha256:9ec054ec992cd05ad30a6df1676229739a73f8feeabf3912c995d17601052b01", size = 1516485 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/61/55/5eaf6c415f6ddb09b9b039278823a8e27fb81ea7a34ec80c6d9223b17f2e/pylint-3.3.2-py3-none-any.whl", hash = "sha256:77f068c287d49b8683cd7c6e624243c74f92890f767f106ffa1ddf3c0a54cb7a", size = 521873 }, -] - -[[package]] -name = "pymilvus" -version = "2.5.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "grpcio" }, - { name = "milvus-lite", marker = "sys_platform != 'win32'" }, - { name = "pandas" }, - { name = "protobuf" }, - { name = "python-dotenv" }, - { name = "setuptools" }, - { name = "ujson" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/f7/3d/e6b593cf456e4300e3aa58b76e55f392166c5df2ea3605666ad6200503fb/pymilvus-2.5.0.tar.gz", hash = "sha256:4da14a3bd957a4921166f9355fd1f1ac5c5e4e80b46f12f64d9c9a6dcb8cb395", size = 1238729 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/01/f1/76af6c8e1481879f5e0c0d885ab899ab8869fd939b27ac7a0b6c3b3b4ebe/pymilvus-2.5.0-py3-none-any.whl", hash = "sha256:a0e8653d8fe78019abfda79b3404ef7423f312501e8cbd7dc728051ce8732652", size = 212848 }, -] - -[[package]] -name = "pypandoc" -version = "1.14" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/3a/76/4813088c2df396b562a944887ec42983f268b75091c03b48bdaf657a7229/pypandoc-1.14.tar.gz", hash = "sha256:6b4c45f5f1b9fb5bb562079164806bdbbc3e837b5402bcf3f1139edc5730a197", size = 32742 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/ff/bd/cf1dd70b95f3366f3c457c5259ed8f032122210441407b6ed281d7fcbb8c/pypandoc-1.14-py3-none-any.whl", hash = "sha256:1315c7ad7fac7236dacf69a05b521ed2c3f1d0177f70e9b92bfffce6c023df22", size = 21266 }, -] - [[package]] name = "pyparsing" -version = "3.2.0" +version = "3.2.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/8c/d5/e5aeee5387091148a19e1145f63606619cb5f20b83fccb63efae6474e7b2/pyparsing-3.2.0.tar.gz", hash = "sha256:cbf74e27246d595d9a74b186b810f6fbb86726dbf3b9532efb343f6d7294fe9c", size = 920984 } +sdist = { url = "https://files.pythonhosted.org/packages/8b/1a/3544f4f299a47911c2ab3710f534e52fea62a633c96806995da5d25be4b2/pyparsing-3.2.1.tar.gz", hash = "sha256:61980854fd66de3a90028d679a954d5f2623e83144b5afe5ee86f43d762e5f0a", size = 1067694 } wheels = [ - { url = "https://files.pythonhosted.org/packages/be/ec/2eb3cd785efd67806c46c13a17339708ddc346cbb684eade7a6e6f79536a/pyparsing-3.2.0-py3-none-any.whl", hash = "sha256:93d9577b88da0bbea8cc8334ee8b918ed014968fd2ec383e868fb8afb1ccef84", size = 106921 }, + { url = "https://files.pythonhosted.org/packages/1c/a7/c8a2d361bf89c0d9577c934ebb7421b25dc84bf3a8e3ac0a40aed9acc547/pyparsing-3.2.1-py3-none-any.whl", hash = "sha256:506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1", size = 107716 }, ] [[package]] @@ -3784,60 +2545,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/3c/60/eccdd92dd4af3e4bea6d6a342f7588c618a15b9bec4b968af581e498bcc4/pypdf-4.3.1-py3-none-any.whl", hash = "sha256:64b31da97eda0771ef22edb1bfecd5deee4b72c3d1736b7df2689805076d6418", size = 295825 }, ] -[[package]] -name = "pytest" -version = "7.4.4" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "colorama", marker = "sys_platform == 'win32'" }, - { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, - { name = "iniconfig" }, - { name = "packaging" }, - { name = "pluggy" }, - { name = "tomli", marker = "python_full_version < '3.11'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/80/1f/9d8e98e4133ffb16c90f3b405c43e38d3abb715bb5d7a63a5a684f7e46a3/pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280", size = 1357116 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/51/ff/f6e8b8f39e08547faece4bd80f89d5a8de68a38b2d179cc1c4490ffa3286/pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8", size = 325287 }, -] - -[[package]] -name = "pytest-asyncio" -version = "0.21.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "pytest" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/ae/53/57663d99acaac2fcdafdc697e52a9b1b7d6fcf36616281ff9768a44e7ff3/pytest_asyncio-0.21.2.tar.gz", hash = "sha256:d67738fc232b94b326b9d060750beb16e0074210b98dd8b58a5239fa2a154f45", size = 30656 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/9c/ce/1e4b53c213dce25d6e8b163697fbce2d43799d76fa08eea6ad270451c370/pytest_asyncio-0.21.2-py3-none-any.whl", hash = "sha256:ab664c88bb7998f711d8039cacd4884da6430886ae8bbd4eded552ed2004f16b", size = 13368 }, -] - -[[package]] -name = "pytest-repeat" -version = "0.9.3" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "pytest" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/86/5e/99365eb229efff0b1bd475886150fc6db9937ab7e1bd21f6f65c1279e0eb/pytest_repeat-0.9.3.tar.gz", hash = "sha256:ffd3836dfcd67bb270bec648b330e20be37d2966448c4148c4092d1e8aba8185", size = 6272 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/49/a8/0a0aec0c2541b8baf4a0b95af2ba99abce217ee43534adf9cb7c908cf184/pytest_repeat-0.9.3-py3-none-any.whl", hash = "sha256:26ab2df18226af9d5ce441c858f273121e92ff55f5bb311d25755b8d7abdd8ed", size = 4196 }, -] - -[[package]] -name = "pytest-xdist" -version = "3.6.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "execnet" }, - { name = "pytest" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/41/c4/3c310a19bc1f1e9ef50075582652673ef2bfc8cd62afef9585683821902f/pytest_xdist-3.6.1.tar.gz", hash = "sha256:ead156a4db231eec769737f57668ef58a2084a34b2e55c4a8fa20d861107300d", size = 84060 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6d/82/1d96bf03ee4c0fdc3c0cbe61470070e659ca78dc0086fb88b66c185e2449/pytest_xdist-3.6.1-py3-none-any.whl", hash = "sha256:9ed4adfb68a016610848639bb7e02c9352d5d9f03d04809919e2dafc3be4cca7", size = 46108 }, -] - [[package]] name = "python-dateutil" version = "2.9.0.post0" @@ -3850,19 +2557,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892 }, ] -[[package]] -name = "python-docx" -version = "1.1.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "lxml" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/35/e4/386c514c53684772885009c12b67a7edd526c15157778ac1b138bc75063e/python_docx-1.1.2.tar.gz", hash = "sha256:0cf1f22e95b9002addca7948e16f2cd7acdfd498047f1941ca5d293db7762efd", size = 5656581 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3e/3d/330d9efbdb816d3f60bf2ad92f05e1708e4a1b9abe80461ac3444c83f749/python_docx-1.1.2-py3-none-any.whl", hash = "sha256:08c20d6058916fb19853fcf080f7f42b6270d89eac9fa5f8c15f691c0017fabe", size = 244315 }, -] - [[package]] name = "python-dotenv" version = "1.0.1" @@ -3872,24 +2566,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/6a/3e/b68c118422ec867fa7ab88444e1274aa40681c606d59ac27de5a5588f082/python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a", size = 19863 }, ] -[[package]] -name = "python-iso639" -version = "2024.10.22" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/8e/54/f88a3fb5802ce026f8111ab75cafc8d57b2cd455e49cada6a65c28e5726f/python_iso639-2024.10.22.tar.gz", hash = "sha256:750f21b6a0bc6baa24253a3d8aae92b582bf93aa40988361cd96852c2c6d9a52", size = 280240 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/31/62/aa1cc476c53f58a18860e98ed031468f42446b6bed7568e47058f659291e/python_iso639-2024.10.22-py3-none-any.whl", hash = "sha256:02d3ce2e01c6896b30b9cbbd3e1c8ee0d7221250b5d63ea9803e0d2a81fd1047", size = 274898 }, -] - -[[package]] -name = "python-magic" -version = "0.4.27" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/da/db/0b3e28ac047452d079d375ec6798bf76a036a08182dbb39ed38116a49130/python-magic-0.4.27.tar.gz", hash = "sha256:c1ba14b08e4a5f5c31a302b7721239695b2f0f058d125bd5ce1ee36b9d9d3c3b", size = 14677 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6c/73/9f872cb81fc5c3bb48f7227872c28975f998f3e7c2b1c16e95e6432bbb90/python_magic-0.4.27-py2.py3-none-any.whl", hash = "sha256:c212960ad306f700aa0d01e5d7a325d20548ff97eb9920dcd29513174f0294d3", size = 13840 }, -] - [[package]] name = "python-multipart" version = "0.0.17" @@ -3899,35 +2575,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b4/fb/275137a799169392f1fa88fff2be92f16eee38e982720a8aaadefc4a36b2/python_multipart-0.0.17-py3-none-any.whl", hash = "sha256:15dc4f487e0a9476cc1201261188ee0940165cffc94429b6fc565c4d3045cb5d", size = 24453 }, ] -[[package]] -name = "python-oxmsg" -version = "0.0.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "click" }, - { name = "olefile" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/4f/d4/4ec721fd433453fe05344f41f17458775d111e9f6c668ce1a0fccec0fecd/python_oxmsg-0.0.1.tar.gz", hash = "sha256:b65c1f93d688b85a9410afa824192a1ddc39da359b04a0bd2cbd3874e84d4994", size = 34541 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d4/c8/fb23e1e7723ba9200b75bc121f22f67498ae098a202f1646acc4f6a54f5c/python_oxmsg-0.0.1-py3-none-any.whl", hash = "sha256:8ea7d5dda1bc161a413213da9e18ed152927c1fda2feaf5d1f02192d8ad45eea", size = 31426 }, -] - -[[package]] -name = "python-pptx" -version = "1.0.2" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "lxml" }, - { name = "pillow" }, - { name = "typing-extensions" }, - { name = "xlsxwriter" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/52/a9/0c0db8d37b2b8a645666f7fd8accea4c6224e013c42b1d5c17c93590cd06/python_pptx-1.0.2.tar.gz", hash = "sha256:479a8af0eaf0f0d76b6f00b0887732874ad2e3188230315290cd1f9dd9cc7095", size = 10109297 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d9/4f/00be2196329ebbff56ce564aa94efb0fbc828d00de250b1980de1a34ab49/python_pptx-1.0.2-py3-none-any.whl", hash = "sha256:160838e0b8565a8b1f67947675886e9fea18aa5e795db7ae531606d68e785cba", size = 472788 }, -] - [[package]] name = "pytz" version = "2024.2" @@ -3937,25 +2584,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/11/c3/005fcca25ce078d2cc29fd559379817424e94885510568bc1bc53d7d5846/pytz-2024.2-py2.py3-none-any.whl", hash = "sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725", size = 508002 }, ] -[[package]] -name = "pywin32" -version = "308" -source = { registry = "https://pypi.org/simple" } -wheels = [ - { url = "https://files.pythonhosted.org/packages/72/a6/3e9f2c474895c1bb61b11fa9640be00067b5c5b363c501ee9c3fa53aec01/pywin32-308-cp310-cp310-win32.whl", hash = "sha256:796ff4426437896550d2981b9c2ac0ffd75238ad9ea2d3bfa67a1abd546d262e", size = 5927028 }, - { url = "https://files.pythonhosted.org/packages/d9/b4/84e2463422f869b4b718f79eb7530a4c1693e96b8a4e5e968de38be4d2ba/pywin32-308-cp310-cp310-win_amd64.whl", hash = "sha256:4fc888c59b3c0bef905ce7eb7e2106a07712015ea1c8234b703a088d46110e8e", size = 6558484 }, - { url = "https://files.pythonhosted.org/packages/9f/8f/fb84ab789713f7c6feacaa08dad3ec8105b88ade8d1c4f0f0dfcaaa017d6/pywin32-308-cp310-cp310-win_arm64.whl", hash = "sha256:a5ab5381813b40f264fa3495b98af850098f814a25a63589a8e9eb12560f450c", size = 7971454 }, - { url = "https://files.pythonhosted.org/packages/eb/e2/02652007469263fe1466e98439831d65d4ca80ea1a2df29abecedf7e47b7/pywin32-308-cp311-cp311-win32.whl", hash = "sha256:5d8c8015b24a7d6855b1550d8e660d8daa09983c80e5daf89a273e5c6fb5095a", size = 5928156 }, - { url = "https://files.pythonhosted.org/packages/48/ef/f4fb45e2196bc7ffe09cad0542d9aff66b0e33f6c0954b43e49c33cad7bd/pywin32-308-cp311-cp311-win_amd64.whl", hash = "sha256:575621b90f0dc2695fec346b2d6302faebd4f0f45c05ea29404cefe35d89442b", size = 6559559 }, - { url = "https://files.pythonhosted.org/packages/79/ef/68bb6aa865c5c9b11a35771329e95917b5559845bd75b65549407f9fc6b4/pywin32-308-cp311-cp311-win_arm64.whl", hash = "sha256:100a5442b7332070983c4cd03f2e906a5648a5104b8a7f50175f7906efd16bb6", size = 7972495 }, - { url = "https://files.pythonhosted.org/packages/00/7c/d00d6bdd96de4344e06c4afbf218bc86b54436a94c01c71a8701f613aa56/pywin32-308-cp312-cp312-win32.whl", hash = "sha256:587f3e19696f4bf96fde9d8a57cec74a57021ad5f204c9e627e15c33ff568897", size = 5939729 }, - { url = "https://files.pythonhosted.org/packages/21/27/0c8811fbc3ca188f93b5354e7c286eb91f80a53afa4e11007ef661afa746/pywin32-308-cp312-cp312-win_amd64.whl", hash = "sha256:00b3e11ef09ede56c6a43c71f2d31857cf7c54b0ab6e78ac659497abd2834f47", size = 6543015 }, - { url = "https://files.pythonhosted.org/packages/9d/0f/d40f8373608caed2255781a3ad9a51d03a594a1248cd632d6a298daca693/pywin32-308-cp312-cp312-win_arm64.whl", hash = "sha256:9b4de86c8d909aed15b7011182c8cab38c8850de36e6afb1f0db22b8959e3091", size = 7976033 }, - { url = "https://files.pythonhosted.org/packages/a9/a4/aa562d8935e3df5e49c161b427a3a2efad2ed4e9cf81c3de636f1fdddfd0/pywin32-308-cp313-cp313-win32.whl", hash = "sha256:1c44539a37a5b7b21d02ab34e6a4d314e0788f1690d65b48e9b0b89f31abbbed", size = 5938579 }, - { url = "https://files.pythonhosted.org/packages/c7/50/b0efb8bb66210da67a53ab95fd7a98826a97ee21f1d22949863e6d588b22/pywin32-308-cp313-cp313-win_amd64.whl", hash = "sha256:fd380990e792eaf6827fcb7e187b2b4b1cede0585e3d0c9e84201ec27b9905e4", size = 6542056 }, - { url = "https://files.pythonhosted.org/packages/26/df/2b63e3e4f2df0224f8aaf6d131f54fe4e8c96400eb9df563e2aae2e1a1f9/pywin32-308-cp313-cp313-win_arm64.whl", hash = "sha256:ef313c46d4c18dfb82a2431e3051ac8f112ccee1a34f29c263c583c568db63cd", size = 7974986 }, -] - [[package]] name = "pyyaml" version = "6.0.2" @@ -4000,121 +2628,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/fa/de/02b54f42487e3d3c6efb3f89428677074ca7bf43aae402517bc7cca949f3/PyYAML-6.0.2-cp313-cp313-win_amd64.whl", hash = "sha256:8388ee1976c416731879ac16da0aff3f63b286ffdd57cdeb95f3f2e085687563", size = 156446 }, ] -[[package]] -name = "qdrant-client" -version = "1.12.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "grpcio" }, - { name = "grpcio-tools" }, - { name = "httpx", extra = ["http2"] }, - { name = "numpy" }, - { name = "portalocker" }, - { name = "pydantic" }, - { name = "urllib3" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/15/5e/ec560881e086f893947c8798949c72de5cfae9453fd05c2250f8dfeaa571/qdrant_client-1.12.1.tar.gz", hash = "sha256:35e8e646f75b7b883b3d2d0ee4c69c5301000bba41c82aa546e985db0f1aeb72", size = 237441 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/68/c0/eef4fe9dad6d41333f7dc6567fa8144ffc1837c8a0edfc2317d50715335f/qdrant_client-1.12.1-py3-none-any.whl", hash = "sha256:b2d17ce18e9e767471368380dd3bbc4a0e3a0e2061fedc9af3542084b48451e0", size = 267171 }, -] - -[[package]] -name = "rapidfuzz" -version = "3.11.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a4/aa/25e5a20131369d82c7b8288c99c2c3011ec47a3f5953ccc9cb8145720be5/rapidfuzz-3.11.0.tar.gz", hash = "sha256:a53ca4d3f52f00b393fab9b5913c5bafb9afc27d030c8a1db1283da6917a860f", size = 57983000 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/4e/70/820ebf9eb22ad97b9e0bb9fd1ad8c6be4c8db5a0974d12ce27b5c9a30db0/rapidfuzz-3.11.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:eb8a54543d16ab1b69e2c5ed96cabbff16db044a50eddfc028000138ca9ddf33", size = 1954240 }, - { url = "https://files.pythonhosted.org/packages/41/bc/e39abdc28160d8147ccab0aa922a29be50529dcf149615a68a324ff6f9b1/rapidfuzz-3.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:231c8b2efbd7f8d2ecd1ae900363ba168b8870644bb8f2b5aa96e4a7573bde19", size = 1427139 }, - { url = "https://files.pythonhosted.org/packages/b6/2d/19b8e5d80257b13d73ba994552b78a69ac2ed70f1de716f1b02fcb84d09c/rapidfuzz-3.11.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:54e7f442fb9cca81e9df32333fb075ef729052bcabe05b0afc0441f462299114", size = 1419602 }, - { url = "https://files.pythonhosted.org/packages/8c/82/1fc80cc531ec712872025c19118d78eb23aff09c7144b380c2c4b544b0d1/rapidfuzz-3.11.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:906f1f2a1b91c06599b3dd1be207449c5d4fc7bd1e1fa2f6aef161ea6223f165", size = 5635370 }, - { url = "https://files.pythonhosted.org/packages/3c/5c/007b90af25f98e301b5f7a095059b09f602701443d555724c9226a45514c/rapidfuzz-3.11.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed59044aea9eb6c663112170f2399b040d5d7b162828b141f2673e822093fa8", size = 1680848 }, - { url = "https://files.pythonhosted.org/packages/01/04/e481530eff5d1cf337b86a3095dd4de0b758c37291e51eb0d8c4f7d49719/rapidfuzz-3.11.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1cb1965a28b0fa64abdee130c788a0bc0bb3cf9ef7e3a70bf055c086c14a3d7e", size = 1682131 }, - { url = "https://files.pythonhosted.org/packages/10/15/b0ec18edfe6146d8915679644ab7584cd0165724d6a53bcc43bd59f8edb5/rapidfuzz-3.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b488b244931d0291412917e6e46ee9f6a14376625e150056fe7c4426ef28225", size = 3134097 }, - { url = "https://files.pythonhosted.org/packages/8b/0e/cf0a5d62977381bca981fc171fd6c85dc52ca1239eaacf9c1d38978c5866/rapidfuzz-3.11.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f0ba13557fec9d5ffc0a22826754a7457cc77f1b25145be10b7bb1d143ce84c6", size = 2332928 }, - { url = "https://files.pythonhosted.org/packages/dc/71/568d383eb36586c9e7e13f1327203e2be0938e5ff070c1fa2a99b418808e/rapidfuzz-3.11.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:3871fa7dfcef00bad3c7e8ae8d8fd58089bad6fb21f608d2bf42832267ca9663", size = 6940409 }, - { url = "https://files.pythonhosted.org/packages/ba/23/02972657d69e6d3aae2cdbd67debad080410ff9ef8849d8eab5e580a48a5/rapidfuzz-3.11.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:b2669eafee38c5884a6e7cc9769d25c19428549dcdf57de8541cf9e82822e7db", size = 2715928 }, - { url = "https://files.pythonhosted.org/packages/17/17/d964d770faa4e25e125618c00e31607cf8ce639d518fc29d200edf06cfda/rapidfuzz-3.11.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:ffa1bb0e26297b0f22881b219ffc82a33a3c84ce6174a9d69406239b14575bd5", size = 3265078 }, - { url = "https://files.pythonhosted.org/packages/bc/13/a117412b1e4ed0bb23b9891a45a59812d96fde8c076b8b8b828aa7ca3710/rapidfuzz-3.11.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:45b15b8a118856ac9caac6877f70f38b8a0d310475d50bc814698659eabc1cdb", size = 4169215 }, - { url = "https://files.pythonhosted.org/packages/9f/0d/89ef496aedf885db4bfe7f46ac6727666afe0d9d8ca5b4f9c7cc8eef0378/rapidfuzz-3.11.0-cp310-cp310-win32.whl", hash = "sha256:22033677982b9c4c49676f215b794b0404073f8974f98739cb7234e4a9ade9ad", size = 1841736 }, - { url = "https://files.pythonhosted.org/packages/47/9a/69019f4e9c8a42e4aca0169dbae71602aba4e0fa4c5e84515f3ed682e59a/rapidfuzz-3.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:be15496e7244361ff0efcd86e52559bacda9cd975eccf19426a0025f9547c792", size = 1614955 }, - { url = "https://files.pythonhosted.org/packages/37/65/6fb036e39d175299ce44e5186ee2d08b9ea02d732ed6dbd70280f63b4eba/rapidfuzz-3.11.0-cp310-cp310-win_arm64.whl", hash = "sha256:714a7ba31ba46b64d30fccfe95f8013ea41a2e6237ba11a805a27cdd3bce2573", size = 863543 }, - { url = "https://files.pythonhosted.org/packages/40/ac/9ca008834104ad138fbfe2d7ae4443ada55e00c4eb4272d288897e8763b8/rapidfuzz-3.11.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8724a978f8af7059c5323d523870bf272a097478e1471295511cf58b2642ff83", size = 1955019 }, - { url = "https://files.pythonhosted.org/packages/4c/55/d026c01c9312c9c2a413679052a9bb884743fc5655e59339116d83a2125b/rapidfuzz-3.11.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8b63cb1f2eb371ef20fb155e95efd96e060147bdd4ab9fc400c97325dfee9fe1", size = 1427753 }, - { url = "https://files.pythonhosted.org/packages/d1/a0/5f3fae81dd1efdf47da19641e321ae84b4f49a5a7b2ab3ff78bd04a0ae7f/rapidfuzz-3.11.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82497f244aac10b20710448645f347d862364cc4f7d8b9ba14bd66b5ce4dec18", size = 1411472 }, - { url = "https://files.pythonhosted.org/packages/3c/3f/770b0fca00faf42983fe21fbd379f429dc2600c58d7015f969fb1f73c1db/rapidfuzz-3.11.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:339607394941801e6e3f6c1ecd413a36e18454e7136ed1161388de674f47f9d9", size = 5614973 }, - { url = "https://files.pythonhosted.org/packages/08/6f/e3df1c41adf27f4b8a95c9de947ed49e7311a676cd05bdd62a17bb1f21ec/rapidfuzz-3.11.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84819390a36d6166cec706b9d8f0941f115f700b7faecab5a7e22fc367408bc3", size = 1665667 }, - { url = "https://files.pythonhosted.org/packages/1a/9b/6c91b98dc70270c35913f359c17e30d4185c83663c4721363540f4c03016/rapidfuzz-3.11.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eea8d9e20632d68f653455265b18c35f90965e26f30d4d92f831899d6682149b", size = 1676166 }, - { url = "https://files.pythonhosted.org/packages/59/9d/eec7a1bfd3566fb17617b41bfb19556c483241d6864eea3c01b88efe5459/rapidfuzz-3.11.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b659e1e2ea2784a9a397075a7fc395bfa4fe66424042161c4bcaf6e4f637b38", size = 3130890 }, - { url = "https://files.pythonhosted.org/packages/26/7c/0a4bb5fbb03a362ea3e1409515d3ae641d9bc869c1375d97d8c47e369cc0/rapidfuzz-3.11.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1315cd2a351144572e31fe3df68340d4b83ddec0af8b2e207cd32930c6acd037", size = 2339850 }, - { url = "https://files.pythonhosted.org/packages/f8/c1/6b839db83caaa47721398b76390a3145202beb108fa433e842879b497439/rapidfuzz-3.11.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:a7743cca45b4684c54407e8638f6d07b910d8d811347b9d42ff21262c7c23245", size = 6941921 }, - { url = "https://files.pythonhosted.org/packages/cc/c9/eaac43bb5e44f3594afddbbdb1a28d7bc0bcb69f93ed9a2ef0c949a48fb2/rapidfuzz-3.11.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:5bb636b0150daa6d3331b738f7c0f8b25eadc47f04a40e5c23c4bfb4c4e20ae3", size = 2717551 }, - { url = "https://files.pythonhosted.org/packages/ef/d3/06ca5ee6b7f030f6527ea1e80fe9a4ab3597e86bc783574e3fc2b05a5265/rapidfuzz-3.11.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:42f4dd264ada7a9aa0805ea0da776dc063533917773cf2df5217f14eb4429eae", size = 3259550 }, - { url = "https://files.pythonhosted.org/packages/74/d8/094e75ee0424cce329901a0ff98c1821fd5d9dbc11bcdc9a3fddd2a09c4c/rapidfuzz-3.11.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:51f24cb39e64256221e6952f22545b8ce21cacd59c0d3e367225da8fc4b868d8", size = 4173546 }, - { url = "https://files.pythonhosted.org/packages/d7/81/f263059e3d9f11b076751ac7ef4eba303fa7f11e32155658953f1697c274/rapidfuzz-3.11.0-cp311-cp311-win32.whl", hash = "sha256:aaf391fb6715866bc14681c76dc0308f46877f7c06f61d62cc993b79fc3c4a2a", size = 1842172 }, - { url = "https://files.pythonhosted.org/packages/33/04/dc42c787f02505a4ca0a961172e8353ceee74ea378b795f3e49686e944b7/rapidfuzz-3.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:ebadd5b8624d8ad503e505a99b8eb26fe3ea9f8e9c2234e805a27b269e585842", size = 1621122 }, - { url = "https://files.pythonhosted.org/packages/4e/0f/461e709bd641922a32bc034976963acbb11d8cf0af28b526f3f35ae07975/rapidfuzz-3.11.0-cp311-cp311-win_arm64.whl", hash = "sha256:d895998fec712544c13cfe833890e0226585cf0391dd3948412441d5d68a2b8c", size = 864792 }, - { url = "https://files.pythonhosted.org/packages/c5/54/954ae2dc7dcb53f5f0953379a4a175d9c2f5e393656ab042843e53780d32/rapidfuzz-3.11.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f382fec4a7891d66fb7163c90754454030bb9200a13f82ee7860b6359f3f2fa8", size = 1938694 }, - { url = "https://files.pythonhosted.org/packages/f9/74/4682d3370821db5374c0f192d1e4123598190cb53d88936016187f80f154/rapidfuzz-3.11.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:dfaefe08af2a928e72344c800dcbaf6508e86a4ed481e28355e8d4b6a6a5230e", size = 1423836 }, - { url = "https://files.pythonhosted.org/packages/e7/78/ce3d72767e186a9deca30dccb5096cfb03ec49e8e3abf2836ab10d1b4f74/rapidfuzz-3.11.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:92ebb7c12f682b5906ed98429f48a3dd80dd0f9721de30c97a01473d1a346576", size = 1393199 }, - { url = "https://files.pythonhosted.org/packages/3c/21/26bdbe846726ff7793789da07e155699cafa3ba3ed3bee86d472b4762121/rapidfuzz-3.11.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9a1b3ebc62d4bcdfdeba110944a25ab40916d5383c5e57e7c4a8dc0b6c17211a", size = 5543400 }, - { url = "https://files.pythonhosted.org/packages/c9/d5/78e922cfbfc67011ecee9f6c2fd630dee68650d23b9ce78316386a3d8c88/rapidfuzz-3.11.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9c6d7fea39cb33e71de86397d38bf7ff1a6273e40367f31d05761662ffda49e4", size = 1642855 }, - { url = "https://files.pythonhosted.org/packages/df/bb/dcf084c03c46968c3fbc52a33f2a725e0b8bb54ed714f0866c7dad747358/rapidfuzz-3.11.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:99aebef8268f2bc0b445b5640fd3312e080bd17efd3fbae4486b20ac00466308", size = 1669853 }, - { url = "https://files.pythonhosted.org/packages/ec/3a/9aa7a2c5b611e8d465e82c1d5f8278be7335769165f68f3ffc5a169f4a23/rapidfuzz-3.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4469307f464ae3089acf3210b8fc279110d26d10f79e576f385a98f4429f7d97", size = 3129941 }, - { url = "https://files.pythonhosted.org/packages/d3/15/2bbab50a2634b25593e36241ab9629be253b8c6ea28a34ba6b856bfea661/rapidfuzz-3.11.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:eb97c53112b593f89a90b4f6218635a9d1eea1d7f9521a3b7d24864228bbc0aa", size = 2302199 }, - { url = "https://files.pythonhosted.org/packages/c6/7c/e3ed92b89c657348c41708fe3b856ebc982c4b220b47299bdef8da374b20/rapidfuzz-3.11.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:ef8937dae823b889c0273dfa0f0f6c46a3658ac0d851349c464d1b00e7ff4252", size = 6904702 }, - { url = "https://files.pythonhosted.org/packages/bd/4f/eed77097068bffb692d6389ae19a531c52a896275e9f5c00566207767537/rapidfuzz-3.11.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:d95f9e9f3777b96241d8a00d6377cc9c716981d828b5091082d0fe3a2924b43e", size = 2679287 }, - { url = "https://files.pythonhosted.org/packages/1f/dc/d2d5dcd5b33a5b394485c67aa13674c8345826af8d3ba0702c06ab2f6430/rapidfuzz-3.11.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:b1d67d67f89e4e013a5295e7523bc34a7a96f2dba5dd812c7c8cb65d113cbf28", size = 3224946 }, - { url = "https://files.pythonhosted.org/packages/8f/af/17c0c29ded64e464e626dd43fc2e3028c1fa929d10e8201fb2aec654e5b3/rapidfuzz-3.11.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d994cf27e2f874069884d9bddf0864f9b90ad201fcc9cb2f5b82bacc17c8d5f2", size = 4144678 }, - { url = "https://files.pythonhosted.org/packages/66/5d/5dc02c87d9a0e64e0abd728d3255ddce8475e06b6be3f732a460f0a360c9/rapidfuzz-3.11.0-cp312-cp312-win32.whl", hash = "sha256:ba26d87fe7fcb56c4a53b549a9e0e9143f6b0df56d35fe6ad800c902447acd5b", size = 1824882 }, - { url = "https://files.pythonhosted.org/packages/b7/da/a37d532cbefd7242191abf18f438b315bf5c72d742f78414a8ec1b7396cf/rapidfuzz-3.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:b1f7efdd7b7adb32102c2fa481ad6f11923e2deb191f651274be559d56fc913b", size = 1606419 }, - { url = "https://files.pythonhosted.org/packages/92/d0/1406d6e110aff87303e98f47adc5e76ef2e69d51cdd08b2d463520158cab/rapidfuzz-3.11.0-cp312-cp312-win_arm64.whl", hash = "sha256:ed78c8e94f57b44292c1a0350f580e18d3a3c5c0800e253f1583580c1b417ad2", size = 858655 }, - { url = "https://files.pythonhosted.org/packages/8a/30/984f1013d28b88304386c8e70b5d63db4765c28be8d9ef68d177c9addc77/rapidfuzz-3.11.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e60814edd0c9b511b5f377d48b9782b88cfe8be07a98f99973669299c8bb318a", size = 1931354 }, - { url = "https://files.pythonhosted.org/packages/a4/8a/41d4f95c5742a8a47c0e96c02957f72f8c34411cecde87fe371d5e09807e/rapidfuzz-3.11.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3f28952da055dbfe75828891cd3c9abf0984edc8640573c18b48c14c68ca5e06", size = 1417918 }, - { url = "https://files.pythonhosted.org/packages/e3/26/031ac8366831da6afc5f25462196eab0e0caf9422c83c007307e23a6f010/rapidfuzz-3.11.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5e8f93bc736020351a6f8e71666e1f486bb8bd5ce8112c443a30c77bfde0eb68", size = 1388327 }, - { url = "https://files.pythonhosted.org/packages/17/1b/927edcd3b540770d3d6d52fe079c6bffdb99e9dfa4b73585bee2a8bd6504/rapidfuzz-3.11.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:76a4a11ba8f678c9e5876a7d465ab86def047a4fcc043617578368755d63a1bc", size = 5513214 }, - { url = "https://files.pythonhosted.org/packages/0d/a2/c1e4f35e7bfbbd97a665f8cd119d8bd4a085f1721366cd76582dc022131b/rapidfuzz-3.11.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dc0e0d41ad8a056a9886bac91ff9d9978e54a244deb61c2972cc76b66752de9c", size = 1638560 }, - { url = "https://files.pythonhosted.org/packages/39/3f/6827972efddb1e357a0b6165ae9e310d7dc5c078af3023893365c212641b/rapidfuzz-3.11.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5e8ea35f2419c7d56b3e75fbde2698766daedb374f20eea28ac9b1f668ef4f74", size = 1667185 }, - { url = "https://files.pythonhosted.org/packages/cc/5d/6902b93e1273e69ea087afd16e7504099bcb8d712a9f69cb649ea05ca7e1/rapidfuzz-3.11.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd340bbd025302276b5aa221dccfe43040c7babfc32f107c36ad783f2ffd8775", size = 3107466 }, - { url = "https://files.pythonhosted.org/packages/a6/02/bdb2048c9b8edf4cd82c2e8f6a8ed9af0fbdf91810ca2b36d1be6fc996d8/rapidfuzz-3.11.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:494eef2c68305ab75139034ea25328a04a548d297712d9cf887bf27c158c388b", size = 2302041 }, - { url = "https://files.pythonhosted.org/packages/12/91/0bbe51e3c15c02578487fd10a14692a40677ea974098d8d376bafd627a89/rapidfuzz-3.11.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:5a167344c1d6db06915fb0225592afdc24d8bafaaf02de07d4788ddd37f4bc2f", size = 6899969 }, - { url = "https://files.pythonhosted.org/packages/27/9d/09b85adfd5829f60bd6dbe53ba66dad22f93a281d494a5638b5f20fb6a8a/rapidfuzz-3.11.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:8c7af25bda96ac799378ac8aba54a8ece732835c7b74cfc201b688a87ed11152", size = 2669022 }, - { url = "https://files.pythonhosted.org/packages/cb/07/6fb723963243335c3bf73925914b6998649d642eff550187454d5bb3d077/rapidfuzz-3.11.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:d2a0f7e17f33e7890257367a1662b05fecaf56625f7dbb6446227aaa2b86448b", size = 3229475 }, - { url = "https://files.pythonhosted.org/packages/3a/8e/e9af6da2e235aa29ad2bb0a1fc2472b2949ed8d9ff8fb0f05b4bfbbf7675/rapidfuzz-3.11.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4d0d26c7172bdb64f86ee0765c5b26ea1dc45c52389175888ec073b9b28f4305", size = 4143861 }, - { url = "https://files.pythonhosted.org/packages/fd/d8/4677e36e958b4d95d039d254d597db9c020896c8130911dc36b136373b87/rapidfuzz-3.11.0-cp313-cp313-win32.whl", hash = "sha256:6ad02bab756751c90fa27f3069d7b12146613061341459abf55f8190d899649f", size = 1822624 }, - { url = "https://files.pythonhosted.org/packages/e8/97/1c782140e688ea2c3337d94516c635c575aa39fe62782fd53ad5d2119df4/rapidfuzz-3.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:b1472986fd9c5d318399a01a0881f4a0bf4950264131bb8e2deba9df6d8c362b", size = 1604273 }, - { url = "https://files.pythonhosted.org/packages/a6/83/8b713d50bec947e945a79be47f772484307fc876c426fb26c6f369098389/rapidfuzz-3.11.0-cp313-cp313-win_arm64.whl", hash = "sha256:c408f09649cbff8da76f8d3ad878b64ba7f7abdad1471efb293d2c075e80c822", size = 857385 }, - { url = "https://files.pythonhosted.org/packages/30/5a/8ac67667663d24cc4d4b76f63783e58ef03e4d4843d02dab6b2f8470ea5e/rapidfuzz-3.11.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:f06e3c4c0a8badfc4910b9fd15beb1ad8f3b8fafa8ea82c023e5e607b66a78e4", size = 1853100 }, - { url = "https://files.pythonhosted.org/packages/dc/72/b043c26e93fb1bc5dfab1e5dd0f8d2f6135c2aa48e6db0660d4ecc5b157a/rapidfuzz-3.11.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:fe7aaf5a54821d340d21412f7f6e6272a9b17a0cbafc1d68f77f2fc11009dcd5", size = 1361961 }, - { url = "https://files.pythonhosted.org/packages/5c/4a/29916c0dd853d22ef7b988af43f4e34d327581e16f60b4c9b0f229fa306c/rapidfuzz-3.11.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25398d9ac7294e99876a3027ffc52c6bebeb2d702b1895af6ae9c541ee676702", size = 1354313 }, - { url = "https://files.pythonhosted.org/packages/41/39/f352af4ede7faeeea20bae2537f1fa60c3bbbf2696f0f2f3dda696745239/rapidfuzz-3.11.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9a52eea839e4bdc72c5e60a444d26004da00bb5bc6301e99b3dde18212e41465", size = 5478019 }, - { url = "https://files.pythonhosted.org/packages/99/8e/86f8a11ac0edda63ff5314d992aa1576fff5d8233f4310d46a6bb0551122/rapidfuzz-3.11.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c87319b0ab9d269ab84f6453601fd49b35d9e4a601bbaef43743f26fabf496c", size = 3056881 }, - { url = "https://files.pythonhosted.org/packages/98/53/222dceb24a83c7d7d76086b6d5bfd3d6aa9988ea73d356d287b5c437c0d5/rapidfuzz-3.11.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:3048c6ed29d693fba7d2a7caf165f5e0bb2b9743a0989012a98a47b975355cca", size = 1543944 }, -] - -[[package]] -name = "redis" -version = "5.2.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "async-timeout", marker = "python_full_version < '3.11.3'" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/47/da/d283a37303a995cd36f8b92db85135153dc4f7a8e4441aa827721b442cfb/redis-5.2.1.tar.gz", hash = "sha256:16f2e22dff21d5125e8481515e386711a34cbec50f0e44413dd7d9c060a54e0f", size = 4608355 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3c/5f/fa26b9b2672cbe30e07d9a5bdf39cf16e3b80b42916757c5f92bca88e4ba/redis-5.2.1-py3-none-any.whl", hash = "sha256:ee7e1056b9aea0f04c6c2ed59452947f34c4940ee025f5dd83e6a6418b6989e4", size = 261502 }, -] - [[package]] name = "referencing" -version = "0.35.1" +version = "0.36.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "attrs" }, { name = "rpds-py" }, + { name = "typing-extensions", marker = "python_full_version < '3.13'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/99/5b/73ca1f8e72fff6fa52119dbd185f73a907b1989428917b24cff660129b6d/referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c", size = 62991 } +sdist = { url = "https://files.pythonhosted.org/packages/27/32/fd98246df7a0f309b58cae68b10b6b219ef2eb66747f00dfb34422687087/referencing-0.36.1.tar.gz", hash = "sha256:ca2e6492769e3602957e9b831b94211599d2aade9477f5d44110d2530cf9aade", size = 74661 } wheels = [ - { url = "https://files.pythonhosted.org/packages/b7/59/2056f61236782a2c86b33906c025d4f4a0b17be0161b63b70fd9e8775d36/referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de", size = 26684 }, + { url = "https://files.pythonhosted.org/packages/cc/fa/9f193ef0c9074b659009f06d7cbacc6f25b072044815bcf799b76533dbb8/referencing-0.36.1-py3-none-any.whl", hash = "sha256:363d9c65f080d0d70bc41c721dce3c7f3e77fc09f269cd5c8813da18069a6794", size = 26777 }, ] [[package]] @@ -4201,31 +2726,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6", size = 64928 }, ] -[[package]] -name = "requests-oauthlib" -version = "1.3.1" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "oauthlib" }, - { name = "requests" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/95/52/531ef197b426646f26b53815a7d2a67cb7a331ef098bb276db26a68ac49f/requests-oauthlib-1.3.1.tar.gz", hash = "sha256:75beac4a47881eeb94d5ea5d6ad31ef88856affe2332b9aafb52c6452ccf0d7a", size = 52027 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/6f/bb/5deac77a9af870143c684ab46a7934038a53eb4aa975bc0687ed6ca2c610/requests_oauthlib-1.3.1-py2.py3-none-any.whl", hash = "sha256:2577c501a2fb8d05a304c09d090d6e47c306fef15809d102b327cf8364bddab5", size = 23892 }, -] - -[[package]] -name = "requests-toolbelt" -version = "1.0.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "requests" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/f3/61/d7545dafb7ac2230c70d38d31cbfe4cc64f7144dc41f6e4e4b78ecd9f5bb/requests-toolbelt-1.0.0.tar.gz", hash = "sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6", size = 206888 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/3f/51/d4db610ef29373b879047326cbf6fa98b6c1969d6f6dc423279de2b1be2c/requests_toolbelt-1.0.0-py2.py3-none-any.whl", hash = "sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06", size = 54481 }, -] - [[package]] name = "requirements-parser" version = "0.11.0" @@ -4338,106 +2838,43 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/9f/2e/c5c1689e80298d4e94c75b70faada4c25445739d91b94c211244a3ed7ed1/rpds_py-0.22.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:177c7c0fce2855833819c98e43c262007f42ce86651ffbb84f37883308cb0e7d", size = 233338 }, ] -[[package]] -name = "ruff" -version = "0.2.2" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/70/06/b2e9ee5f17dab59476fcb6cc6fdd268e8340d95b7dfc760ed93f4243f16f/ruff-0.2.2.tar.gz", hash = "sha256:e62ed7f36b3068a30ba39193a14274cd706bc486fad521276458022f7bccb31d", size = 2040633 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/13/21/e56126ca3b56e6d05a0f6744558305f6589327945ee01b85ffe85a0f37bf/ruff-0.2.2-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:0a9efb032855ffb3c21f6405751d5e147b0c6b631e3ca3f6b20f917572b97eb6", size = 14894866 }, - { url = "https://files.pythonhosted.org/packages/b6/1e/fd238f116e2fab69a2fbb4c3ab8903225836cb6d900ff8139c03c2f6f7b7/ruff-0.2.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:d450b7fbff85913f866a5384d8912710936e2b96da74541c82c1b458472ddb39", size = 7634941 }, - { url = "https://files.pythonhosted.org/packages/4c/53/30651b54241f4f26796cbc5b7cdcafebf5ecd7a30997e7a08673e8050b30/ruff-0.2.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecd46e3106850a5c26aee114e562c329f9a1fbe9e4821b008c4404f64ff9ce73", size = 7332185 }, - { url = "https://files.pythonhosted.org/packages/1c/8a/8c14e40da4cb8d651fc78f769e938552069e7bc34e9e65f7335f3469f9d2/ruff-0.2.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e22676a5b875bd72acd3d11d5fa9075d3a5f53b877fe7b4793e4673499318ba", size = 6739587 }, - { url = "https://files.pythonhosted.org/packages/db/71/5be31e5505307e852020d624049ae6610e1ebb68431bb03251904aa082c6/ruff-0.2.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1695700d1e25a99d28f7a1636d85bafcc5030bba9d0578c0781ba1790dbcf51c", size = 7813597 }, - { url = "https://files.pythonhosted.org/packages/45/20/89df4f35f0644b529b9e8bb4c9a0a4633ad2fcba888941caaba744ae5768/ruff-0.2.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:b0c232af3d0bd8f521806223723456ffebf8e323bd1e4e82b0befb20ba18388e", size = 8465022 }, - { url = "https://files.pythonhosted.org/packages/ec/c2/d2f2b750971593580b29d965bd7bc36a7f5e971b3de24e342235ae7578a9/ruff-0.2.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f63d96494eeec2fc70d909393bcd76c69f35334cdbd9e20d089fb3f0640216ca", size = 8196736 }, - { url = "https://files.pythonhosted.org/packages/bc/83/0dfcc589d8d4d27c551dfb5d50ef57b58fc6432298bc115010f7a0642f48/ruff-0.2.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6a61ea0ff048e06de273b2e45bd72629f470f5da8f71daf09fe481278b175001", size = 8896228 }, - { url = "https://files.pythonhosted.org/packages/27/f1/3bf230a048561fd03bc779f2a3e5b05d8ea8cb1c91456a4246c5673b8ef5/ruff-0.2.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e1439c8f407e4f356470e54cdecdca1bd5439a0673792dbe34a2b0a551a2fe3", size = 7817875 }, - { url = "https://files.pythonhosted.org/packages/63/ad/57e10d775d94a22eabdbe272d6ebb687d10ff0312ad8cd81dbc3bdf74081/ruff-0.2.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:940de32dc8853eba0f67f7198b3e79bc6ba95c2edbfdfac2144c8235114d6726", size = 7248228 }, - { url = "https://files.pythonhosted.org/packages/1d/65/250a8dd655563a31d7f38af35e5a2860a54bc66c121084f36c63d46dd687/ruff-0.2.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:0c126da55c38dd917621552ab430213bdb3273bb10ddb67bc4b761989210eb6e", size = 6735053 }, - { url = "https://files.pythonhosted.org/packages/ac/e5/6684718861b205985164afb9a1a8ab83deb4fa2326c903570e9d1af9347a/ruff-0.2.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:3b65494f7e4bed2e74110dac1f0d17dc8e1f42faaa784e7c58a98e335ec83d7e", size = 7471896 }, - { url = "https://files.pythonhosted.org/packages/4c/40/25de7bd89d5af3cd033d42935c7ea2bc79f52fa2f2cf4cbd8f1dbc2cae2b/ruff-0.2.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1ec49be4fe6ddac0503833f3ed8930528e26d1e60ad35c2446da372d16651ce9", size = 7883633 }, - { url = "https://files.pythonhosted.org/packages/49/98/9c678bd07561bcdf2129df8284b5708e0393e7c52256db9b30b1b1043cfd/ruff-0.2.2-py3-none-win32.whl", hash = "sha256:d920499b576f6c68295bc04e7b17b6544d9d05f196bb3aac4358792ef6f34325", size = 6909240 }, - { url = "https://files.pythonhosted.org/packages/47/d2/23fe9d73dadec045cbffc0c2046a34f7b829f217abd76fb2d6ef7114d792/ruff-0.2.2-py3-none-win_amd64.whl", hash = "sha256:cc9a91ae137d687f43a44c900e5d95e9617cb37d4c989e462980ba27039d239d", size = 7593466 }, - { url = "https://files.pythonhosted.org/packages/1a/83/0d002e72ba3c15a74e5ac63d31f57d222d8f297e637d065db28f1253f109/ruff-0.2.2-py3-none-win_arm64.whl", hash = "sha256:c9d15fc41e6054bfc7200478720570078f0b41c9ae4f010bcc16bd6f4d1aacdd", size = 7222811 }, -] - [[package]] name = "s3transfer" -version = "0.10.4" +version = "0.11.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "botocore" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c0/0a/1cdbabf9edd0ea7747efdf6c9ab4e7061b085aa7f9bfc36bb1601563b069/s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7", size = 145287 } +sdist = { url = "https://files.pythonhosted.org/packages/1a/aa/fdd958c626b00e3f046d4004363e7f1a2aba4354f78d65ceb3b217fa5eb8/s3transfer-0.11.1.tar.gz", hash = "sha256:3f25c900a367c8b7f7d8f9c34edc87e300bde424f779dc9f0a8ae4f9df9264f6", size = 146952 } wheels = [ - { url = "https://files.pythonhosted.org/packages/66/05/7957af15543b8c9799209506df4660cba7afc4cf94bfb60513827e96bed6/s3transfer-0.10.4-py3-none-any.whl", hash = "sha256:244a76a24355363a68164241438de1b72f8781664920260c48465896b712a41e", size = 83175 }, + { url = "https://files.pythonhosted.org/packages/5f/ce/22673f4a85ccc640735b4f8d12178a0f41b5d3c6eda7f33756d10ce56901/s3transfer-0.11.1-py3-none-any.whl", hash = "sha256:8fa0aa48177be1f3425176dfe1ab85dcd3d962df603c3dbfc585e6bf857ef0ff", size = 84111 }, ] [[package]] name = "safetensors" -version = "0.4.5" +version = "0.5.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/cb/46/a1c56ed856c6ac3b1a8b37abe5be0cac53219367af1331e721b04d122577/safetensors-0.4.5.tar.gz", hash = "sha256:d73de19682deabb02524b3d5d1f8b3aaba94c72f1bbfc7911b9b9d5d391c0310", size = 65702 } +sdist = { url = "https://files.pythonhosted.org/packages/f4/4f/2ef9ef1766f8c194b01b67a63a444d2e557c8fe1d82faf3ebd85f370a917/safetensors-0.5.2.tar.gz", hash = "sha256:cb4a8d98ba12fa016f4241932b1fc5e702e5143f5374bba0bbcf7ddc1c4cf2b8", size = 66957 } wheels = [ - { url = "https://files.pythonhosted.org/packages/38/10/0798ec2c8704c2d172620d8a3725bed92cdd75516357b1a3e64d4229ea4e/safetensors-0.4.5-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:a63eaccd22243c67e4f2b1c3e258b257effc4acd78f3b9d397edc8cf8f1298a7", size = 392312 }, - { url = "https://files.pythonhosted.org/packages/2b/9e/9648d8dbb485c40a4a0212b7537626ae440b48156cc74601ca0b7a7615e0/safetensors-0.4.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:23fc9b4ec7b602915cbb4ec1a7c1ad96d2743c322f20ab709e2c35d1b66dad27", size = 381858 }, - { url = "https://files.pythonhosted.org/packages/8b/67/49556aeacc00df353767ed31d68b492fecf38c3f664c52692e4d92aa0032/safetensors-0.4.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6885016f34bef80ea1085b7e99b3c1f92cb1be78a49839203060f67b40aee761", size = 441382 }, - { url = "https://files.pythonhosted.org/packages/5d/ce/e9f4869a37bb11229e6cdb4e73a6ef23b4f360eee9dca5f7e40982779704/safetensors-0.4.5-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:133620f443450429322f238fda74d512c4008621227fccf2f8cf4a76206fea7c", size = 439001 }, - { url = "https://files.pythonhosted.org/packages/a0/27/aee8cf031b89c34caf83194ec6b7f2eed28d053fff8b6da6d00c85c56035/safetensors-0.4.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4fb3e0609ec12d2a77e882f07cced530b8262027f64b75d399f1504ffec0ba56", size = 478026 }, - { url = "https://files.pythonhosted.org/packages/da/33/1d9fc4805c623636e7d460f28eec92ebd1856f7a552df8eb78398a1ef4de/safetensors-0.4.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d0f1dd769f064adc33831f5e97ad07babbd728427f98e3e1db6902e369122737", size = 495545 }, - { url = "https://files.pythonhosted.org/packages/b9/df/6f766b56690709d22e83836e4067a1109a7d84ea152a6deb5692743a2805/safetensors-0.4.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c6d156bdb26732feada84f9388a9f135528c1ef5b05fae153da365ad4319c4c5", size = 435016 }, - { url = "https://files.pythonhosted.org/packages/90/fa/7bc3f18086201b1e55a42c88b822ae197d0158e12c54cd45c887305f1b7e/safetensors-0.4.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9e347d77e2c77eb7624400ccd09bed69d35c0332f417ce8c048d404a096c593b", size = 456273 }, - { url = "https://files.pythonhosted.org/packages/3e/59/2ae50150d37a65c1c5f01aec74dc737707b8bbecdc76307e5a1a12c8a376/safetensors-0.4.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:9f556eea3aec1d3d955403159fe2123ddd68e880f83954ee9b4a3f2e15e716b6", size = 619669 }, - { url = "https://files.pythonhosted.org/packages/fe/43/10f0bb597aef62c9c154152e265057089f3c729bdd980e6c32c3ec2407a4/safetensors-0.4.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9483f42be3b6bc8ff77dd67302de8ae411c4db39f7224dec66b0eb95822e4163", size = 605212 }, - { url = "https://files.pythonhosted.org/packages/7c/75/ede6887ea0ceaba55730988bfc7668dc147a8758f907fa6db26fbb681b8e/safetensors-0.4.5-cp310-none-win32.whl", hash = "sha256:7389129c03fadd1ccc37fd1ebbc773f2b031483b04700923c3511d2a939252cc", size = 272652 }, - { url = "https://files.pythonhosted.org/packages/ba/f0/919c72a9eef843781e652d0650f2819039943e69b69d5af2d0451a23edc3/safetensors-0.4.5-cp310-none-win_amd64.whl", hash = "sha256:e98ef5524f8b6620c8cdef97220c0b6a5c1cef69852fcd2f174bb96c2bb316b1", size = 285879 }, - { url = "https://files.pythonhosted.org/packages/9a/a5/25bcf75e373412daf1fd88045ab3aa8140a0d804ef0e70712c4f2c5b94d8/safetensors-0.4.5-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:21f848d7aebd5954f92538552d6d75f7c1b4500f51664078b5b49720d180e47c", size = 392256 }, - { url = "https://files.pythonhosted.org/packages/08/8c/ece3bf8756506a890bd980eca02f47f9d98dfbf5ce16eda1368f53560f67/safetensors-0.4.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bb07000b19d41e35eecef9a454f31a8b4718a185293f0d0b1c4b61d6e4487971", size = 381490 }, - { url = "https://files.pythonhosted.org/packages/39/83/c4a7ce01d626e46ea2b45887f2e59b16441408031e2ce2f9fe01860c6946/safetensors-0.4.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:09dedf7c2fda934ee68143202acff6e9e8eb0ddeeb4cfc24182bef999efa9f42", size = 441093 }, - { url = "https://files.pythonhosted.org/packages/47/26/cc52de647e71bd9a0b0d78ead0d31d9c462b35550a817aa9e0cab51d6db4/safetensors-0.4.5-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:59b77e4b7a708988d84f26de3ebead61ef1659c73dcbc9946c18f3b1786d2688", size = 438960 }, - { url = "https://files.pythonhosted.org/packages/06/78/332538546775ee97e749867df2d58f2282d9c48a1681e4891eed8b94ec94/safetensors-0.4.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5d3bc83e14d67adc2e9387e511097f254bd1b43c3020440e708858c684cbac68", size = 478031 }, - { url = "https://files.pythonhosted.org/packages/d9/03/a3c8663f1ddda54e624ecf43fce651659b49e8e1603c52c3e464b442acfa/safetensors-0.4.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39371fc551c1072976073ab258c3119395294cf49cdc1f8476794627de3130df", size = 494754 }, - { url = "https://files.pythonhosted.org/packages/e6/ee/69e498a892f208bd1da4104d4b9be887f8611bf4942144718b6738482250/safetensors-0.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a6c19feda32b931cae0acd42748a670bdf56bee6476a046af20181ad3fee4090", size = 435013 }, - { url = "https://files.pythonhosted.org/packages/a2/61/f0cfce984515b86d1260f556ba3b782158e2855e6a318446ac2613786fa9/safetensors-0.4.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a659467495de201e2f282063808a41170448c78bada1e62707b07a27b05e6943", size = 455984 }, - { url = "https://files.pythonhosted.org/packages/e7/a9/3e3b48fcaade3eb4e347d39ebf0bd44291db21a3e4507854b42a7cb910ac/safetensors-0.4.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:bad5e4b2476949bcd638a89f71b6916fa9a5cae5c1ae7eede337aca2100435c0", size = 619513 }, - { url = "https://files.pythonhosted.org/packages/80/23/2a7a1be24258c0e44c1d356896fd63dc0545a98d2d0184925fa09cd3ec76/safetensors-0.4.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a3a315a6d0054bc6889a17f5668a73f94f7fe55121ff59e0a199e3519c08565f", size = 604841 }, - { url = "https://files.pythonhosted.org/packages/b4/5c/34d082ff1fffffd8545fb22cbae3285ab4236f1f0cfc64b7e58261c2363b/safetensors-0.4.5-cp311-none-win32.whl", hash = "sha256:a01e232e6d3d5cf8b1667bc3b657a77bdab73f0743c26c1d3c5dd7ce86bd3a92", size = 272602 }, - { url = "https://files.pythonhosted.org/packages/6d/41/948c96c8a7e9fef57c2e051f1871c108a6dbbc6d285598bdb1d89b98617c/safetensors-0.4.5-cp311-none-win_amd64.whl", hash = "sha256:cbd39cae1ad3e3ef6f63a6f07296b080c951f24cec60188378e43d3713000c04", size = 285973 }, - { url = "https://files.pythonhosted.org/packages/bf/ac/5a63082f931e99200db95fd46fb6734f050bb6e96bf02521904c6518b7aa/safetensors-0.4.5-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:473300314e026bd1043cef391bb16a8689453363381561b8a3e443870937cc1e", size = 392015 }, - { url = "https://files.pythonhosted.org/packages/73/95/ab32aa6e9bdc832ff87784cdf9da26192b93de3ef82b8d1ada8f345c5044/safetensors-0.4.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:801183a0f76dc647f51a2d9141ad341f9665602a7899a693207a82fb102cc53e", size = 381774 }, - { url = "https://files.pythonhosted.org/packages/d6/6c/7e04b7626809fc63f3698f4c50e43aff2864b40089aa4506c918a75b8eed/safetensors-0.4.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1524b54246e422ad6fb6aea1ac71edeeb77666efa67230e1faf6999df9b2e27f", size = 441134 }, - { url = "https://files.pythonhosted.org/packages/58/2b/ffe7c86a277e6c1595fbdf415cfe2903f253f574a5405e93fda8baaa582c/safetensors-0.4.5-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:b3139098e3e8b2ad7afbca96d30ad29157b50c90861084e69fcb80dec7430461", size = 438467 }, - { url = "https://files.pythonhosted.org/packages/67/9c/f271bd804e08c7fda954d17b70ff281228a88077337a9e70feace4f4cc93/safetensors-0.4.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:65573dc35be9059770808e276b017256fa30058802c29e1038eb1c00028502ea", size = 476566 }, - { url = "https://files.pythonhosted.org/packages/4c/ad/4cf76a3e430a8a26108407fa6cb93e6f80d996a5cb75d9540c8fe3862990/safetensors-0.4.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd33da8e9407559f8779c82a0448e2133737f922d71f884da27184549416bfed", size = 492253 }, - { url = "https://files.pythonhosted.org/packages/d9/40/a6f75ea449a9647423ec8b6f72c16998d35aa4b43cb38536ac060c5c7bf5/safetensors-0.4.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3685ce7ed036f916316b567152482b7e959dc754fcc4a8342333d222e05f407c", size = 434769 }, - { url = "https://files.pythonhosted.org/packages/52/47/d4b49b1231abf3131f7bb0bc60ebb94b27ee33e0a1f9569da05f8ac65dee/safetensors-0.4.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:dde2bf390d25f67908278d6f5d59e46211ef98e44108727084d4637ee70ab4f1", size = 457166 }, - { url = "https://files.pythonhosted.org/packages/c3/cd/006468b03b0fa42ff82d795d47c4193e99001e96c3f08bd62ef1b5cab586/safetensors-0.4.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:7469d70d3de970b1698d47c11ebbf296a308702cbaae7fcb993944751cf985f4", size = 619280 }, - { url = "https://files.pythonhosted.org/packages/22/4d/b6208d918e83daa84b424c0ac3191ae61b44b3191613a3a5a7b38f94b8ad/safetensors-0.4.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3a6ba28118636a130ccbb968bc33d4684c48678695dba2590169d5ab03a45646", size = 605390 }, - { url = "https://files.pythonhosted.org/packages/e8/20/bf0e01825dc01ed75538021a98b9a046e60ead63c6c6700764c821a8c873/safetensors-0.4.5-cp312-none-win32.whl", hash = "sha256:c859c7ed90b0047f58ee27751c8e56951452ed36a67afee1b0a87847d065eec6", size = 273250 }, - { url = "https://files.pythonhosted.org/packages/f1/5f/ab6b6cec85b40789801f35b7d2fb579ae242d8193929974a106d5ff5c835/safetensors-0.4.5-cp312-none-win_amd64.whl", hash = "sha256:b5a8810ad6a6f933fff6c276eae92c1da217b39b4d8b1bc1c0b8af2d270dc532", size = 286307 }, - { url = "https://files.pythonhosted.org/packages/90/61/0e27b1403e311cba0be20026bee4ee822d90eda7dad372179e7f18bb99f3/safetensors-0.4.5-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:25e5f8e2e92a74f05b4ca55686234c32aac19927903792b30ee6d7bd5653d54e", size = 392062 }, - { url = "https://files.pythonhosted.org/packages/b1/9f/cc31fafc9f5d79da10a83a820ca37f069bab0717895ad8cbcacf629dd1c5/safetensors-0.4.5-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:81efb124b58af39fcd684254c645e35692fea81c51627259cdf6d67ff4458916", size = 382517 }, - { url = "https://files.pythonhosted.org/packages/a4/c7/4fda8a0ebb96662550433378f4a74c677fa5fc4d0a43a7ec287d1df254a9/safetensors-0.4.5-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:585f1703a518b437f5103aa9cf70e9bd437cb78eea9c51024329e4fb8a3e3679", size = 441378 }, - { url = "https://files.pythonhosted.org/packages/14/31/9abb431f6209de9c80dab83e1112ebd769f1e32e7ab7ab228a02424a4693/safetensors-0.4.5-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:4b99fbf72e3faf0b2f5f16e5e3458b93b7d0a83984fe8d5364c60aa169f2da89", size = 438831 }, - { url = "https://files.pythonhosted.org/packages/37/37/99bfb195578a808b8d045159ee9264f8da58d017ac0701853dcacda14d4e/safetensors-0.4.5-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b17b299ca9966ca983ecda1c0791a3f07f9ca6ab5ded8ef3d283fff45f6bcd5f", size = 477112 }, - { url = "https://files.pythonhosted.org/packages/7d/05/fac3ef107e60d2a78532bed171a91669d4bb259e1236f5ea8c67a6976c75/safetensors-0.4.5-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:76ded72f69209c9780fdb23ea89e56d35c54ae6abcdec67ccb22af8e696e449a", size = 493373 }, - { url = "https://files.pythonhosted.org/packages/cf/7a/825800ee8c68214b4fd3506d5e19209338c69b41e01c6e14dd13969cc8b9/safetensors-0.4.5-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2783956926303dcfeb1de91a4d1204cd4089ab441e622e7caee0642281109db3", size = 435422 }, - { url = "https://files.pythonhosted.org/packages/5e/6c/7a3233c08bde558d6c33a41219119866cb596139a4673cc6c24024710ffd/safetensors-0.4.5-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d94581aab8c6b204def4d7320f07534d6ee34cd4855688004a4354e63b639a35", size = 457382 }, - { url = "https://files.pythonhosted.org/packages/a0/58/0b7bcba3788ff503990cf9278d611b56c029400612ba93e772c987b5aa03/safetensors-0.4.5-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:67e1e7cb8678bb1b37ac48ec0df04faf689e2f4e9e81e566b5c63d9f23748523", size = 619301 }, - { url = "https://files.pythonhosted.org/packages/82/cc/9c2cf58611daf1c83ce5d37f9de66353e23fcda36008b13fd3409a760aa3/safetensors-0.4.5-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:dbd280b07e6054ea68b0cb4b16ad9703e7d63cd6890f577cb98acc5354780142", size = 605580 }, - { url = "https://files.pythonhosted.org/packages/cf/ff/037ae4c0ee32db496669365e66079b6329906c6814722b159aa700e67208/safetensors-0.4.5-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:fdadf66b5a22ceb645d5435a0be7a0292ce59648ca1d46b352f13cff3ea80410", size = 392951 }, - { url = "https://files.pythonhosted.org/packages/f1/d6/6621e16b35bf83ae099eaab07338f04991a26c9aa43879d05f19f35e149c/safetensors-0.4.5-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d42ffd4c2259f31832cb17ff866c111684c87bd930892a1ba53fed28370c918c", size = 383417 }, - { url = "https://files.pythonhosted.org/packages/ae/88/3068e1bb16f5e9f9068901de3cf7b3db270b9bfe6e7d51d4b55c1da0425d/safetensors-0.4.5-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd8a1f6d2063a92cd04145c7fd9e31a1c7d85fbec20113a14b487563fdbc0597", size = 442311 }, - { url = "https://files.pythonhosted.org/packages/f7/15/a2bb77ebbaa76b61ec2e9f731fe4db7f9473fd855d881957c51b3a168892/safetensors-0.4.5-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:951d2fcf1817f4fb0ef0b48f6696688a4e852a95922a042b3f96aaa67eedc920", size = 436678 }, - { url = "https://files.pythonhosted.org/packages/ec/79/9608c4546cdbfe3860dd7aa59e3562c9289113398b1a0bd89b68ce0a9d41/safetensors-0.4.5-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ac85d9a8c1af0e3132371d9f2d134695a06a96993c2e2f0bbe25debb9e3f67a", size = 457316 }, - { url = "https://files.pythonhosted.org/packages/0f/23/b17b483f2857835962ad33e38014efd4911791187e177bc23b057d35bee8/safetensors-0.4.5-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e3cec4a29eb7fe8da0b1c7988bc3828183080439dd559f720414450de076fcab", size = 620565 }, - { url = "https://files.pythonhosted.org/packages/19/46/5d11dc300feaad285c2f1bd784ff3f689f5e0ab6be49aaf568f3a77019eb/safetensors-0.4.5-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:21742b391b859e67b26c0b2ac37f52c9c0944a879a25ad2f9f9f3cd61e7fda8f", size = 606660 }, + { url = "https://files.pythonhosted.org/packages/96/d1/017e31e75e274492a11a456a9e7c171f8f7911fe50735b4ec6ff37221220/safetensors-0.5.2-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:45b6092997ceb8aa3801693781a71a99909ab9cc776fbc3fa9322d29b1d3bef2", size = 427067 }, + { url = "https://files.pythonhosted.org/packages/24/84/e9d3ff57ae50dd0028f301c9ee064e5087fe8b00e55696677a0413c377a7/safetensors-0.5.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:6d0d6a8ee2215a440e1296b843edf44fd377b055ba350eaba74655a2fe2c4bae", size = 408856 }, + { url = "https://files.pythonhosted.org/packages/f1/1d/fe95f5dd73db16757b11915e8a5106337663182d0381811c81993e0014a9/safetensors-0.5.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86016d40bcaa3bcc9a56cd74d97e654b5f4f4abe42b038c71e4f00a089c4526c", size = 450088 }, + { url = "https://files.pythonhosted.org/packages/cf/21/e527961b12d5ab528c6e47b92d5f57f33563c28a972750b238b871924e49/safetensors-0.5.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:990833f70a5f9c7d3fc82c94507f03179930ff7d00941c287f73b6fcbf67f19e", size = 458966 }, + { url = "https://files.pythonhosted.org/packages/a5/8b/1a037d7a57f86837c0b41905040369aea7d8ca1ec4b2a77592372b2ec380/safetensors-0.5.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3dfa7c2f3fe55db34eba90c29df94bcdac4821043fc391cb5d082d9922013869", size = 509915 }, + { url = "https://files.pythonhosted.org/packages/61/3d/03dd5cfd33839df0ee3f4581a20bd09c40246d169c0e4518f20b21d5f077/safetensors-0.5.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:46ff2116150ae70a4e9c490d2ab6b6e1b1b93f25e520e540abe1b81b48560c3a", size = 527664 }, + { url = "https://files.pythonhosted.org/packages/c5/dc/8952caafa9a10a3c0f40fa86bacf3190ae7f55fa5eef87415b97b29cb97f/safetensors-0.5.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ab696dfdc060caffb61dbe4066b86419107a24c804a4e373ba59be699ebd8d5", size = 461978 }, + { url = "https://files.pythonhosted.org/packages/60/da/82de1fcf1194e3dbefd4faa92dc98b33c06bed5d67890e0962dd98e18287/safetensors-0.5.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:03c937100f38c9ff4c1507abea9928a6a9b02c9c1c9c3609ed4fb2bf413d4975", size = 491253 }, + { url = "https://files.pythonhosted.org/packages/5a/9a/d90e273c25f90c3ba1b0196a972003786f04c39e302fbd6649325b1272bb/safetensors-0.5.2-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:a00e737948791b94dad83cf0eafc09a02c4d8c2171a239e8c8572fe04e25960e", size = 628644 }, + { url = "https://files.pythonhosted.org/packages/70/3c/acb23e05aa34b4f5edd2e7f393f8e6480fbccd10601ab42cd03a57d4ab5f/safetensors-0.5.2-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:d3a06fae62418ec8e5c635b61a8086032c9e281f16c63c3af46a6efbab33156f", size = 721648 }, + { url = "https://files.pythonhosted.org/packages/71/45/eaa3dba5253a7c6931230dc961641455710ab231f8a89cb3c4c2af70f8c8/safetensors-0.5.2-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:1506e4c2eda1431099cebe9abf6c76853e95d0b7a95addceaa74c6019c65d8cf", size = 659588 }, + { url = "https://files.pythonhosted.org/packages/b0/71/2f9851164f821064d43b481ddbea0149c2d676c4f4e077b178e7eeaa6660/safetensors-0.5.2-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5c5b5d9da594f638a259fca766046f44c97244cc7ab8bef161b3e80d04becc76", size = 632533 }, + { url = "https://files.pythonhosted.org/packages/00/f1/5680e2ef61d9c61454fad82c344f0e40b8741a9dbd1e31484f0d31a9b1c3/safetensors-0.5.2-cp38-abi3-win32.whl", hash = "sha256:fe55c039d97090d1f85277d402954dd6ad27f63034fa81985a9cc59655ac3ee2", size = 291167 }, + { url = "https://files.pythonhosted.org/packages/86/ca/aa489392ec6fb59223ffce825461e1f811a3affd417121a2088be7a5758b/safetensors-0.5.2-cp38-abi3-win_amd64.whl", hash = "sha256:78abdddd03a406646107f973c7843276e7b64e5e32623529dc17f3d94a20f589", size = 303756 }, ] [[package]] name = "scikit-learn" -version = "1.6.0" +version = "1.6.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "joblib" }, @@ -4445,75 +2882,82 @@ dependencies = [ { name = "scipy" }, { name = "threadpoolctl" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/fa/19/5aa2002044afc297ecaf1e3517ed07bba4aece3b5613b5160c1212995fc8/scikit_learn-1.6.0.tar.gz", hash = "sha256:9d58481f9f7499dff4196927aedd4285a0baec8caa3790efbe205f13de37dd6e", size = 7074944 } +sdist = { url = "https://files.pythonhosted.org/packages/9e/a5/4ae3b3a0755f7b35a280ac90b28817d1f380318973cff14075ab41ef50d9/scikit_learn-1.6.1.tar.gz", hash = "sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e", size = 7068312 } wheels = [ - { url = "https://files.pythonhosted.org/packages/c0/97/55060f91a5e7c4df945e5a69b16148b5f2256e6e1ea3f17da8e27edf9953/scikit_learn-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:366fb3fa47dce90afed3d6106183f4978d6f24cfd595c2373424171b915ee718", size = 12060299 }, - { url = "https://files.pythonhosted.org/packages/36/7b/8c5dfc64a8344ebf2ae493d59af4b3650588051f654e164ff4f9952877b3/scikit_learn-1.6.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:59cd96a8d9f8dfd546f5d6e9787e1b989e981388d7803abbc9efdcde61e47460", size = 11105443 }, - { url = "https://files.pythonhosted.org/packages/25/9f/61544f2a5cae1bc27c97f0ec9ffcc9837e469f215817608840a4ccbb277a/scikit_learn-1.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efa7a579606c73a0b3d210e33ea410ea9e1af7933fe324cb7e6fbafae4ea5948", size = 12637137 }, - { url = "https://files.pythonhosted.org/packages/50/79/d21599fc44d2d497ced440480670b6314ebc00308e3bae0d0ebca44cd481/scikit_learn-1.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a46d3ca0f11a540b8eaddaf5e38172d8cd65a86cb3e3632161ec96c0cffb774c", size = 13490128 }, - { url = "https://files.pythonhosted.org/packages/ff/87/788da20cfefcd261123d4bb015b2de076e49cdd3b811b55e6811acd3cb21/scikit_learn-1.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:5be4577769c5dde6e1b53de8e6520f9b664ab5861dd57acee47ad119fd7405d6", size = 11118524 }, - { url = "https://files.pythonhosted.org/packages/07/95/070d6e70f735d13f1c10afebb65ba3526125b7d6c6fc7022651a4a061148/scikit_learn-1.6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1f50b4f24cf12a81c3c09958ae3b864d7534934ca66ded3822de4996d25d7285", size = 12095168 }, - { url = "https://files.pythonhosted.org/packages/72/3d/0381e3a59ebd4154e6a61b0ceaf299c3c141035033dd3b868776cd9af02d/scikit_learn-1.6.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:eb9ae21f387826da14b0b9cb1034f5048ddb9182da429c689f5f4a87dc96930b", size = 11108880 }, - { url = "https://files.pythonhosted.org/packages/fe/2d/0999ae3eed2ac67b1b3cd7fc33370bd5ca59a7514ffe43ae2b6f3cd85b9b/scikit_learn-1.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0baa91eeb8c32632628874a5c91885eaedd23b71504d24227925080da075837a", size = 12585449 }, - { url = "https://files.pythonhosted.org/packages/0e/ec/1b15b59c6cc7a993320a52234369e787f50345a4753e50d5a015a91e1a20/scikit_learn-1.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c716d13ba0a2f8762d96ff78d3e0cde90bc9c9b5c13d6ab6bb9b2d6ca6705fd", size = 13489728 }, - { url = "https://files.pythonhosted.org/packages/96/a2/cbfb5743de748d574ffdfd557e9cb29ba4f8b8a3e07836c6c176f713de2f/scikit_learn-1.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:9aafd94bafc841b626681e626be27bf1233d5a0f20f0a6fdb4bee1a1963c6643", size = 11132946 }, - { url = "https://files.pythonhosted.org/packages/18/0c/a5de627aa57b028aea7026cb3bbeaf63be3158adc118212d6cc7843d939a/scikit_learn-1.6.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:04a5ba45c12a5ff81518aa4f1604e826a45d20e53da47b15871526cda4ff5174", size = 12096999 }, - { url = "https://files.pythonhosted.org/packages/a3/7d/02a96e6fb28ddb213e84b1b4a44148d26ec96fc9db9c74e050277e009892/scikit_learn-1.6.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:21fadfc2ad7a1ce8bd1d90f23d17875b84ec765eecbbfc924ff11fb73db582ce", size = 11160579 }, - { url = "https://files.pythonhosted.org/packages/70/28/77b071f541d75247e6c3403f19aaa634371e972691f6aa1838ca9fd4cc52/scikit_learn-1.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30f34bb5fde90e020653bb84dcb38b6c83f90c70680dbd8c38bd9becbad7a127", size = 12246543 }, - { url = "https://files.pythonhosted.org/packages/17/0e/e6bb84074f1081245a165c0ee775ecef24beae9d2f2e24bcac0c9f155f13/scikit_learn-1.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1dad624cffe3062276a0881d4e441bc9e3b19d02d17757cd6ae79a9d192a0027", size = 13140402 }, - { url = "https://files.pythonhosted.org/packages/21/1d/3df58df8bd425f425df9f90b316618ace62b7f1f838ac1580191025cc735/scikit_learn-1.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:2fce7950a3fad85e0a61dc403df0f9345b53432ac0e47c50da210d22c60b6d85", size = 11103596 }, - { url = "https://files.pythonhosted.org/packages/2e/f4/c3b51920cf310169d19d07855a7bdf51a9b065314877d9a58c0c60d08eea/scikit_learn-1.6.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e5453b2e87ef8accedc5a8a4e6709f887ca01896cd7cc8a174fe39bd4bb00aef", size = 12002532 }, - { url = "https://files.pythonhosted.org/packages/e4/76/cfb0778a84c30df272f1c41fc7b3bd3ffac6e8b02ee6a078a592d35cf73f/scikit_learn-1.6.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:5fe11794236fb83bead2af26a87ced5d26e3370b8487430818b915dafab1724e", size = 11088997 }, - { url = "https://files.pythonhosted.org/packages/2b/8d/4563419d742b852e50871fa3494a8dd0304610601359209a2e614e200260/scikit_learn-1.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61fe3dcec0d82ae280877a818ab652f4988371e32dd5451e75251bece79668b1", size = 12203192 }, - { url = "https://files.pythonhosted.org/packages/15/a4/f4fdcdd11d82837804c888097ad02aa6381c4bbd57b9d3074ecf9eba8f42/scikit_learn-1.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b44e3a51e181933bdf9a4953cc69c6025b40d2b49e238233f149b98849beb4bf", size = 13164436 }, - { url = "https://files.pythonhosted.org/packages/1a/e1/32bdcf8f918de5a156da6886aba24a3b5718d267954bd34555be896289f0/scikit_learn-1.6.0-cp313-cp313-win_amd64.whl", hash = "sha256:a17860a562bac54384454d40b3f6155200c1c737c9399e6a97962c63fce503ac", size = 11064779 }, - { url = "https://files.pythonhosted.org/packages/c6/8d/14464bea220bc02879f9e8d905c4b0a44b5c12afde6c375720b6f41d9407/scikit_learn-1.6.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:98717d3c152f6842d36a70f21e1468fb2f1a2f8f2624d9a3f382211798516426", size = 11962472 }, - { url = "https://files.pythonhosted.org/packages/b4/69/66899cdc65986188e0e255e52ee93dee5101a72f139ee05f263dfff2053a/scikit_learn-1.6.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:34e20bfac8ff0ebe0ff20fb16a4d6df5dc4cc9ce383e00c2ab67a526a3c67b18", size = 11104864 }, - { url = "https://files.pythonhosted.org/packages/3c/32/2c63bc108cc5438b116a0c6fd25c6126dd14c03118724385f10a3d218ee8/scikit_learn-1.6.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eba06d75815406091419e06dd650b91ebd1c5f836392a0d833ff36447c2b1bfa", size = 12435734 }, - { url = "https://files.pythonhosted.org/packages/0c/f5/9434dff19e04a334bfb30df90511904263c48a422a9952d91d8de5c3aa62/scikit_learn-1.6.0-cp313-cp313t-win_amd64.whl", hash = "sha256:b6916d1cec1ff163c7d281e699d7a6a709da2f2c5ec7b10547e08cc788ddd3ae", size = 11329803 }, + { url = "https://files.pythonhosted.org/packages/2e/3a/f4597eb41049110b21ebcbb0bcb43e4035017545daa5eedcfeb45c08b9c5/scikit_learn-1.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e", size = 12067702 }, + { url = "https://files.pythonhosted.org/packages/37/19/0423e5e1fd1c6ec5be2352ba05a537a473c1677f8188b9306097d684b327/scikit_learn-1.6.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0c8d036eb937dbb568c6242fa598d551d88fb4399c0344d95c001980ec1c7d36", size = 11112765 }, + { url = "https://files.pythonhosted.org/packages/70/95/d5cb2297a835b0f5fc9a77042b0a2d029866379091ab8b3f52cc62277808/scikit_learn-1.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8634c4bd21a2a813e0a7e3900464e6d593162a29dd35d25bdf0103b3fce60ed5", size = 12643991 }, + { url = "https://files.pythonhosted.org/packages/b7/91/ab3c697188f224d658969f678be86b0968ccc52774c8ab4a86a07be13c25/scikit_learn-1.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:775da975a471c4f6f467725dff0ced5c7ac7bda5e9316b260225b48475279a1b", size = 13497182 }, + { url = "https://files.pythonhosted.org/packages/17/04/d5d556b6c88886c092cc989433b2bab62488e0f0dafe616a1d5c9cb0efb1/scikit_learn-1.6.1-cp310-cp310-win_amd64.whl", hash = "sha256:8a600c31592bd7dab31e1c61b9bbd6dea1b3433e67d264d17ce1017dbdce8002", size = 11125517 }, + { url = "https://files.pythonhosted.org/packages/6c/2a/e291c29670795406a824567d1dfc91db7b699799a002fdaa452bceea8f6e/scikit_learn-1.6.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:72abc587c75234935e97d09aa4913a82f7b03ee0b74111dcc2881cba3c5a7b33", size = 12102620 }, + { url = "https://files.pythonhosted.org/packages/25/92/ee1d7a00bb6b8c55755d4984fd82608603a3cc59959245068ce32e7fb808/scikit_learn-1.6.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:b3b00cdc8f1317b5f33191df1386c0befd16625f49d979fe77a8d44cae82410d", size = 11116234 }, + { url = "https://files.pythonhosted.org/packages/30/cd/ed4399485ef364bb25f388ab438e3724e60dc218c547a407b6e90ccccaef/scikit_learn-1.6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc4765af3386811c3ca21638f63b9cf5ecf66261cc4815c1db3f1e7dc7b79db2", size = 12592155 }, + { url = "https://files.pythonhosted.org/packages/a8/f3/62fc9a5a659bb58a03cdd7e258956a5824bdc9b4bb3c5d932f55880be569/scikit_learn-1.6.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25fc636bdaf1cc2f4a124a116312d837148b5e10872147bdaf4887926b8c03d8", size = 13497069 }, + { url = "https://files.pythonhosted.org/packages/a1/a6/c5b78606743a1f28eae8f11973de6613a5ee87366796583fb74c67d54939/scikit_learn-1.6.1-cp311-cp311-win_amd64.whl", hash = "sha256:fa909b1a36e000a03c382aade0bd2063fd5680ff8b8e501660c0f59f021a6415", size = 11139809 }, + { url = "https://files.pythonhosted.org/packages/0a/18/c797c9b8c10380d05616db3bfb48e2a3358c767affd0857d56c2eb501caa/scikit_learn-1.6.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:926f207c804104677af4857b2c609940b743d04c4c35ce0ddc8ff4f053cddc1b", size = 12104516 }, + { url = "https://files.pythonhosted.org/packages/c4/b7/2e35f8e289ab70108f8cbb2e7a2208f0575dc704749721286519dcf35f6f/scikit_learn-1.6.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:2c2cae262064e6a9b77eee1c8e768fc46aa0b8338c6a8297b9b6759720ec0ff2", size = 11167837 }, + { url = "https://files.pythonhosted.org/packages/a4/f6/ff7beaeb644bcad72bcfd5a03ff36d32ee4e53a8b29a639f11bcb65d06cd/scikit_learn-1.6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1061b7c028a8663fb9a1a1baf9317b64a257fcb036dae5c8752b2abef31d136f", size = 12253728 }, + { url = "https://files.pythonhosted.org/packages/29/7a/8bce8968883e9465de20be15542f4c7e221952441727c4dad24d534c6d99/scikit_learn-1.6.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e69fab4ebfc9c9b580a7a80111b43d214ab06250f8a7ef590a4edf72464dd86", size = 13147700 }, + { url = "https://files.pythonhosted.org/packages/62/27/585859e72e117fe861c2079bcba35591a84f801e21bc1ab85bce6ce60305/scikit_learn-1.6.1-cp312-cp312-win_amd64.whl", hash = "sha256:70b1d7e85b1c96383f872a519b3375f92f14731e279a7b4c6cfd650cf5dffc52", size = 11110613 }, + { url = "https://files.pythonhosted.org/packages/2e/59/8eb1872ca87009bdcdb7f3cdc679ad557b992c12f4b61f9250659e592c63/scikit_learn-1.6.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2ffa1e9e25b3d93990e74a4be2c2fc61ee5af85811562f1288d5d055880c4322", size = 12010001 }, + { url = "https://files.pythonhosted.org/packages/9d/05/f2fc4effc5b32e525408524c982c468c29d22f828834f0625c5ef3d601be/scikit_learn-1.6.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:dc5cf3d68c5a20ad6d571584c0750ec641cc46aeef1c1507be51300e6003a7e1", size = 11096360 }, + { url = "https://files.pythonhosted.org/packages/c8/e4/4195d52cf4f113573fb8ebc44ed5a81bd511a92c0228889125fac2f4c3d1/scikit_learn-1.6.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c06beb2e839ecc641366000ca84f3cf6fa9faa1777e29cf0c04be6e4d096a348", size = 12209004 }, + { url = "https://files.pythonhosted.org/packages/94/be/47e16cdd1e7fcf97d95b3cb08bde1abb13e627861af427a3651fcb80b517/scikit_learn-1.6.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8ca8cb270fee8f1f76fa9bfd5c3507d60c6438bbee5687f81042e2bb98e5a97", size = 13171776 }, + { url = "https://files.pythonhosted.org/packages/34/b0/ca92b90859070a1487827dbc672f998da95ce83edce1270fc23f96f1f61a/scikit_learn-1.6.1-cp313-cp313-win_amd64.whl", hash = "sha256:7a1c43c8ec9fde528d664d947dc4c0789be4077a3647f232869f41d9bf50e0fb", size = 11071865 }, + { url = "https://files.pythonhosted.org/packages/12/ae/993b0fb24a356e71e9a894e42b8a9eec528d4c70217353a1cd7a48bc25d4/scikit_learn-1.6.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:a17c1dea1d56dcda2fac315712f3651a1fea86565b64b48fa1bc090249cbf236", size = 11955804 }, + { url = "https://files.pythonhosted.org/packages/d6/54/32fa2ee591af44507eac86406fa6bba968d1eb22831494470d0a2e4a1eb1/scikit_learn-1.6.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6a7aa5f9908f0f28f4edaa6963c0a6183f1911e63a69aa03782f0d924c830a35", size = 11100530 }, + { url = "https://files.pythonhosted.org/packages/3f/58/55856da1adec655bdce77b502e94a267bf40a8c0b89f8622837f89503b5a/scikit_learn-1.6.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0650e730afb87402baa88afbf31c07b84c98272622aaba002559b614600ca691", size = 12433852 }, + { url = "https://files.pythonhosted.org/packages/ff/4f/c83853af13901a574f8f13b645467285a48940f185b690936bb700a50863/scikit_learn-1.6.1-cp313-cp313t-win_amd64.whl", hash = "sha256:3f59fe08dc03ea158605170eb52b22a105f238a5d512c4470ddeca71feae8e5f", size = 11337256 }, ] [[package]] name = "scipy" -version = "1.14.1" +version = "1.15.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "numpy" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/62/11/4d44a1f274e002784e4dbdb81e0ea96d2de2d1045b2132d5af62cc31fd28/scipy-1.14.1.tar.gz", hash = "sha256:5a275584e726026a5699459aa72f828a610821006228e841b94275c4a7c08417", size = 58620554 } +sdist = { url = "https://files.pythonhosted.org/packages/76/c6/8eb0654ba0c7d0bb1bf67bf8fbace101a8e4f250f7722371105e8b6f68fc/scipy-1.15.1.tar.gz", hash = "sha256:033a75ddad1463970c96a88063a1df87ccfddd526437136b6ee81ff0312ebdf6", size = 59407493 } wheels = [ - { url = "https://files.pythonhosted.org/packages/64/68/3bc0cfaf64ff507d82b1e5d5b64521df4c8bf7e22bc0b897827cbee9872c/scipy-1.14.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:b28d2ca4add7ac16ae8bb6632a3c86e4b9e4d52d3e34267f6e1b0c1f8d87e389", size = 39069598 }, - { url = "https://files.pythonhosted.org/packages/43/a5/8d02f9c372790326ad405d94f04d4339482ec082455b9e6e288f7100513b/scipy-1.14.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d0d2821003174de06b69e58cef2316a6622b60ee613121199cb2852a873f8cf3", size = 29879676 }, - { url = "https://files.pythonhosted.org/packages/07/42/0e0bea9666fcbf2cb6ea0205db42c81b1f34d7b729ba251010edf9c80ebd/scipy-1.14.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:8bddf15838ba768bb5f5083c1ea012d64c9a444e16192762bd858f1e126196d0", size = 23088696 }, - { url = "https://files.pythonhosted.org/packages/15/47/298ab6fef5ebf31b426560e978b8b8548421d4ed0bf99263e1eb44532306/scipy-1.14.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:97c5dddd5932bd2a1a31c927ba5e1463a53b87ca96b5c9bdf5dfd6096e27efc3", size = 25470699 }, - { url = "https://files.pythonhosted.org/packages/d8/df/cdb6be5274bc694c4c22862ac3438cb04f360ed9df0aecee02ce0b798380/scipy-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ff0a7e01e422c15739ecd64432743cf7aae2b03f3084288f399affcefe5222d", size = 35606631 }, - { url = "https://files.pythonhosted.org/packages/47/78/b0c2c23880dd1e99e938ad49ccfb011ae353758a2dc5ed7ee59baff684c3/scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e32dced201274bf96899e6491d9ba3e9a5f6b336708656466ad0522d8528f69", size = 41178528 }, - { url = "https://files.pythonhosted.org/packages/5d/aa/994b45c34b897637b853ec04334afa55a85650a0d11dacfa67232260fb0a/scipy-1.14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8426251ad1e4ad903a4514712d2fa8fdd5382c978010d1c6f5f37ef286a713ad", size = 42784535 }, - { url = "https://files.pythonhosted.org/packages/e7/1c/8daa6df17a945cb1a2a1e3bae3c49643f7b3b94017ff01a4787064f03f84/scipy-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:a49f6ed96f83966f576b33a44257d869756df6cf1ef4934f59dd58b25e0327e5", size = 44772117 }, - { url = "https://files.pythonhosted.org/packages/b2/ab/070ccfabe870d9f105b04aee1e2860520460ef7ca0213172abfe871463b9/scipy-1.14.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:2da0469a4ef0ecd3693761acbdc20f2fdeafb69e6819cc081308cc978153c675", size = 39076999 }, - { url = "https://files.pythonhosted.org/packages/a7/c5/02ac82f9bb8f70818099df7e86c3ad28dae64e1347b421d8e3adf26acab6/scipy-1.14.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c0ee987efa6737242745f347835da2cc5bb9f1b42996a4d97d5c7ff7928cb6f2", size = 29894570 }, - { url = "https://files.pythonhosted.org/packages/ed/05/7f03e680cc5249c4f96c9e4e845acde08eb1aee5bc216eff8a089baa4ddb/scipy-1.14.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3a1b111fac6baec1c1d92f27e76511c9e7218f1695d61b59e05e0fe04dc59617", size = 23103567 }, - { url = "https://files.pythonhosted.org/packages/5e/fc/9f1413bef53171f379d786aabc104d4abeea48ee84c553a3e3d8c9f96a9c/scipy-1.14.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8475230e55549ab3f207bff11ebfc91c805dc3463ef62eda3ccf593254524ce8", size = 25499102 }, - { url = "https://files.pythonhosted.org/packages/c2/4b/b44bee3c2ddc316b0159b3d87a3d467ef8d7edfd525e6f7364a62cd87d90/scipy-1.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:278266012eb69f4a720827bdd2dc54b2271c97d84255b2faaa8f161a158c3b37", size = 35586346 }, - { url = "https://files.pythonhosted.org/packages/93/6b/701776d4bd6bdd9b629c387b5140f006185bd8ddea16788a44434376b98f/scipy-1.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fef8c87f8abfb884dac04e97824b61299880c43f4ce675dd2cbeadd3c9b466d2", size = 41165244 }, - { url = "https://files.pythonhosted.org/packages/06/57/e6aa6f55729a8f245d8a6984f2855696c5992113a5dc789065020f8be753/scipy-1.14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b05d43735bb2f07d689f56f7b474788a13ed8adc484a85aa65c0fd931cf9ccd2", size = 42817917 }, - { url = "https://files.pythonhosted.org/packages/ea/c2/5ecadc5fcccefaece775feadcd795060adf5c3b29a883bff0e678cfe89af/scipy-1.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:716e389b694c4bb564b4fc0c51bc84d381735e0d39d3f26ec1af2556ec6aad94", size = 44781033 }, - { url = "https://files.pythonhosted.org/packages/c0/04/2bdacc8ac6387b15db6faa40295f8bd25eccf33f1f13e68a72dc3c60a99e/scipy-1.14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:631f07b3734d34aced009aaf6fedfd0eb3498a97e581c3b1e5f14a04164a456d", size = 39128781 }, - { url = "https://files.pythonhosted.org/packages/c8/53/35b4d41f5fd42f5781dbd0dd6c05d35ba8aa75c84ecddc7d44756cd8da2e/scipy-1.14.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:af29a935803cc707ab2ed7791c44288a682f9c8107bc00f0eccc4f92c08d6e07", size = 29939542 }, - { url = "https://files.pythonhosted.org/packages/66/67/6ef192e0e4d77b20cc33a01e743b00bc9e68fb83b88e06e636d2619a8767/scipy-1.14.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2843f2d527d9eebec9a43e6b406fb7266f3af25a751aa91d62ff416f54170bc5", size = 23148375 }, - { url = "https://files.pythonhosted.org/packages/f6/32/3a6dedd51d68eb7b8e7dc7947d5d841bcb699f1bf4463639554986f4d782/scipy-1.14.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:eb58ca0abd96911932f688528977858681a59d61a7ce908ffd355957f7025cfc", size = 25578573 }, - { url = "https://files.pythonhosted.org/packages/f0/5a/efa92a58dc3a2898705f1dc9dbaf390ca7d4fba26d6ab8cfffb0c72f656f/scipy-1.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30ac8812c1d2aab7131a79ba62933a2a76f582d5dbbc695192453dae67ad6310", size = 35319299 }, - { url = "https://files.pythonhosted.org/packages/8e/ee/8a26858ca517e9c64f84b4c7734b89bda8e63bec85c3d2f432d225bb1886/scipy-1.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f9ea80f2e65bdaa0b7627fb00cbeb2daf163caa015e59b7516395fe3bd1e066", size = 40849331 }, - { url = "https://files.pythonhosted.org/packages/a5/cd/06f72bc9187840f1c99e1a8750aad4216fc7dfdd7df46e6280add14b4822/scipy-1.14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:edaf02b82cd7639db00dbff629995ef185c8df4c3ffa71a5562a595765a06ce1", size = 42544049 }, - { url = "https://files.pythonhosted.org/packages/aa/7d/43ab67228ef98c6b5dd42ab386eae2d7877036970a0d7e3dd3eb47a0d530/scipy-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:2ff38e22128e6c03ff73b6bb0f85f897d2362f8c052e3b8ad00532198fbdae3f", size = 44521212 }, - { url = "https://files.pythonhosted.org/packages/50/ef/ac98346db016ff18a6ad7626a35808f37074d25796fd0234c2bb0ed1e054/scipy-1.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1729560c906963fc8389f6aac023739ff3983e727b1a4d87696b7bf108316a79", size = 39091068 }, - { url = "https://files.pythonhosted.org/packages/b9/cc/70948fe9f393b911b4251e96b55bbdeaa8cca41f37c26fd1df0232933b9e/scipy-1.14.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:4079b90df244709e675cdc8b93bfd8a395d59af40b72e339c2287c91860deb8e", size = 29875417 }, - { url = "https://files.pythonhosted.org/packages/3b/2e/35f549b7d231c1c9f9639f9ef49b815d816bf54dd050da5da1c11517a218/scipy-1.14.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73", size = 23084508 }, - { url = "https://files.pythonhosted.org/packages/3f/d6/b028e3f3e59fae61fb8c0f450db732c43dd1d836223a589a8be9f6377203/scipy-1.14.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0c2f95de3b04e26f5f3ad5bb05e74ba7f68b837133a4492414b3afd79dfe540e", size = 25503364 }, - { url = "https://files.pythonhosted.org/packages/a7/2f/6c142b352ac15967744d62b165537a965e95d557085db4beab2a11f7943b/scipy-1.14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d", size = 35292639 }, - { url = "https://files.pythonhosted.org/packages/56/46/2449e6e51e0d7c3575f289f6acb7f828938eaab8874dbccfeb0cd2b71a27/scipy-1.14.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5149e3fd2d686e42144a093b206aef01932a0059c2a33ddfa67f5f035bdfe13e", size = 40798288 }, - { url = "https://files.pythonhosted.org/packages/32/cd/9d86f7ed7f4497c9fd3e39f8918dd93d9f647ba80d7e34e4946c0c2d1a7c/scipy-1.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06", size = 42524647 }, - { url = "https://files.pythonhosted.org/packages/f5/1b/6ee032251bf4cdb0cc50059374e86a9f076308c1512b61c4e003e241efb7/scipy-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84", size = 44469524 }, + { url = "https://files.pythonhosted.org/packages/86/53/b204ce5a4433f1864001b9d16f103b9c25f5002a602ae83585d0ea5f9c4a/scipy-1.15.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:c64ded12dcab08afff9e805a67ff4480f5e69993310e093434b10e85dc9d43e1", size = 41414518 }, + { url = "https://files.pythonhosted.org/packages/c7/fc/54ffa7a8847f7f303197a6ba65a66104724beba2e38f328135a78f0dc480/scipy-1.15.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5b190b935e7db569960b48840e5bef71dc513314cc4e79a1b7d14664f57fd4ff", size = 32519265 }, + { url = "https://files.pythonhosted.org/packages/f1/77/a98b8ba03d6f371dc31a38719affd53426d4665729dcffbed4afe296784a/scipy-1.15.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:4b17d4220df99bacb63065c76b0d1126d82bbf00167d1730019d2a30d6ae01ea", size = 24792859 }, + { url = "https://files.pythonhosted.org/packages/a7/78/70bb9f0df7444b18b108580934bfef774822e28fd34a68e5c263c7d2828a/scipy-1.15.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:63b9b6cd0333d0eb1a49de6f834e8aeaefe438df8f6372352084535ad095219e", size = 27886506 }, + { url = "https://files.pythonhosted.org/packages/14/a7/f40f6033e06de4176ddd6cc8c3ae9f10a226c3bca5d6b4ab883bc9914a14/scipy-1.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f151e9fb60fbf8e52426132f473221a49362091ce7a5e72f8aa41f8e0da4f25", size = 38375041 }, + { url = "https://files.pythonhosted.org/packages/17/03/390a1c5c61fd76b0fa4b3c5aa3bdd7e60f6c46f712924f1a9df5705ec046/scipy-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21e10b1dd56ce92fba3e786007322542361984f8463c6d37f6f25935a5a6ef52", size = 40597556 }, + { url = "https://files.pythonhosted.org/packages/4e/70/fa95b3ae026b97eeca58204a90868802e5155ac71b9d7bdee92b68115dd3/scipy-1.15.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5dff14e75cdbcf07cdaa1c7707db6017d130f0af9ac41f6ce443a93318d6c6e0", size = 42938505 }, + { url = "https://files.pythonhosted.org/packages/d6/07/427859116bdd71847c898180f01802691f203c3e2455a1eb496130ff07c5/scipy-1.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:f82fcf4e5b377f819542fbc8541f7b5fbcf1c0017d0df0bc22c781bf60abc4d8", size = 43909663 }, + { url = "https://files.pythonhosted.org/packages/8e/2e/7b71312da9c2dabff53e7c9a9d08231bc34d9d8fdabe88a6f1155b44591c/scipy-1.15.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:5bd8d27d44e2c13d0c1124e6a556454f52cd3f704742985f6b09e75e163d20d2", size = 41424362 }, + { url = "https://files.pythonhosted.org/packages/81/8c/ab85f1aa1cc200c796532a385b6ebf6a81089747adc1da7482a062acc46c/scipy-1.15.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:be3deeb32844c27599347faa077b359584ba96664c5c79d71a354b80a0ad0ce0", size = 32535910 }, + { url = "https://files.pythonhosted.org/packages/3b/9c/6f4b787058daa8d8da21ddff881b4320e28de4704a65ec147adb50cb2230/scipy-1.15.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:5eb0ca35d4b08e95da99a9f9c400dc9f6c21c424298a0ba876fdc69c7afacedf", size = 24809398 }, + { url = "https://files.pythonhosted.org/packages/16/2b/949460a796df75fc7a1ee1becea202cf072edbe325ebe29f6d2029947aa7/scipy-1.15.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:74bb864ff7640dea310a1377d8567dc2cb7599c26a79ca852fc184cc851954ac", size = 27918045 }, + { url = "https://files.pythonhosted.org/packages/5f/36/67fe249dd7ccfcd2a38b25a640e3af7e59d9169c802478b6035ba91dfd6d/scipy-1.15.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:667f950bf8b7c3a23b4199db24cb9bf7512e27e86d0e3813f015b74ec2c6e3df", size = 38332074 }, + { url = "https://files.pythonhosted.org/packages/fc/da/452e1119e6f720df3feb588cce3c42c5e3d628d4bfd4aec097bd30b7de0c/scipy-1.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:395be70220d1189756068b3173853029a013d8c8dd5fd3d1361d505b2aa58fa7", size = 40588469 }, + { url = "https://files.pythonhosted.org/packages/7f/71/5f94aceeac99a4941478af94fe9f459c6752d497035b6b0761a700f5f9ff/scipy-1.15.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ce3a000cd28b4430426db2ca44d96636f701ed12e2b3ca1f2b1dd7abdd84b39a", size = 42965214 }, + { url = "https://files.pythonhosted.org/packages/af/25/caa430865749d504271757cafd24066d596217e83326155993980bc22f97/scipy-1.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:3fe1d95944f9cf6ba77aa28b82dd6bb2a5b52f2026beb39ecf05304b8392864b", size = 43896034 }, + { url = "https://files.pythonhosted.org/packages/d8/6e/a9c42d0d39e09ed7fd203d0ac17adfea759cba61ab457671fe66e523dbec/scipy-1.15.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c09aa9d90f3500ea4c9b393ee96f96b0ccb27f2f350d09a47f533293c78ea776", size = 41478318 }, + { url = "https://files.pythonhosted.org/packages/04/ee/e3e535c81828618878a7433992fecc92fa4df79393f31a8fea1d05615091/scipy-1.15.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:0ac102ce99934b162914b1e4a6b94ca7da0f4058b6d6fd65b0cef330c0f3346f", size = 32596696 }, + { url = "https://files.pythonhosted.org/packages/c4/5e/b1b0124be8e76f87115f16b8915003eec4b7060298117715baf13f51942c/scipy-1.15.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:09c52320c42d7f5c7748b69e9f0389266fd4f82cf34c38485c14ee976cb8cb04", size = 24870366 }, + { url = "https://files.pythonhosted.org/packages/14/36/c00cb73eefda85946172c27913ab995c6ad4eee00fa4f007572e8c50cd51/scipy-1.15.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:cdde8414154054763b42b74fe8ce89d7f3d17a7ac5dd77204f0e142cdc9239e9", size = 28007461 }, + { url = "https://files.pythonhosted.org/packages/68/94/aff5c51b3799349a9d1e67a056772a0f8a47db371e83b498d43467806557/scipy-1.15.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c9d8fc81d6a3b6844235e6fd175ee1d4c060163905a2becce8e74cb0d7554ce", size = 38068174 }, + { url = "https://files.pythonhosted.org/packages/b0/3c/0de11ca154e24a57b579fb648151d901326d3102115bc4f9a7a86526ce54/scipy-1.15.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fb57b30f0017d4afa5fe5f5b150b8f807618819287c21cbe51130de7ccdaed2", size = 40249869 }, + { url = "https://files.pythonhosted.org/packages/15/09/472e8d0a6b33199d1bb95e49bedcabc0976c3724edd9b0ef7602ccacf41e/scipy-1.15.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:491d57fe89927fa1aafbe260f4cfa5ffa20ab9f1435025045a5315006a91b8f5", size = 42629068 }, + { url = "https://files.pythonhosted.org/packages/ff/ba/31c7a8131152822b3a2cdeba76398ffb404d81d640de98287d236da90c49/scipy-1.15.1-cp312-cp312-win_amd64.whl", hash = "sha256:900f3fa3db87257510f011c292a5779eb627043dd89731b9c461cd16ef76ab3d", size = 43621992 }, + { url = "https://files.pythonhosted.org/packages/2b/bf/dd68965a4c5138a630eeed0baec9ae96e5d598887835bdde96cdd2fe4780/scipy-1.15.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:100193bb72fbff37dbd0bf14322314fc7cbe08b7ff3137f11a34d06dc0ee6b85", size = 41441136 }, + { url = "https://files.pythonhosted.org/packages/ef/5e/4928581312922d7e4d416d74c416a660addec4dd5ea185401df2269ba5a0/scipy-1.15.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:2114a08daec64980e4b4cbdf5bee90935af66d750146b1d2feb0d3ac30613692", size = 32533699 }, + { url = "https://files.pythonhosted.org/packages/32/90/03f99c43041852837686898c66767787cd41c5843d7a1509c39ffef683e9/scipy-1.15.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:6b3e71893c6687fc5e29208d518900c24ea372a862854c9888368c0b267387ab", size = 24807289 }, + { url = "https://files.pythonhosted.org/packages/9d/52/bfe82b42ae112eaba1af2f3e556275b8727d55ac6e4932e7aef337a9d9d4/scipy-1.15.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:837299eec3d19b7e042923448d17d95a86e43941104d33f00da7e31a0f715d3c", size = 27929844 }, + { url = "https://files.pythonhosted.org/packages/f6/77/54ff610bad600462c313326acdb035783accc6a3d5f566d22757ad297564/scipy-1.15.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82add84e8a9fb12af5c2c1a3a3f1cb51849d27a580cb9e6bd66226195142be6e", size = 38031272 }, + { url = "https://files.pythonhosted.org/packages/f1/26/98585cbf04c7cf503d7eb0a1966df8a268154b5d923c5fe0c1ed13154c49/scipy-1.15.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:070d10654f0cb6abd295bc96c12656f948e623ec5f9a4eab0ddb1466c000716e", size = 40210217 }, + { url = "https://files.pythonhosted.org/packages/fd/3f/3d2285eb6fece8bc5dbb2f9f94d61157d61d155e854fd5fea825b8218f12/scipy-1.15.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:55cc79ce4085c702ac31e49b1e69b27ef41111f22beafb9b49fea67142b696c4", size = 42587785 }, + { url = "https://files.pythonhosted.org/packages/48/7d/5b5251984bf0160d6533695a74a5fddb1fa36edd6f26ffa8c871fbd4782a/scipy-1.15.1-cp313-cp313-win_amd64.whl", hash = "sha256:c352c1b6d7cac452534517e022f8f7b8d139cd9f27e6fbd9f3cbd0bfd39f5bef", size = 43640439 }, + { url = "https://files.pythonhosted.org/packages/e7/b8/0e092f592d280496de52e152582030f8a270b194f87f890e1a97c5599b81/scipy-1.15.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0458839c9f873062db69a03de9a9765ae2e694352c76a16be44f93ea45c28d2b", size = 41619862 }, + { url = "https://files.pythonhosted.org/packages/f6/19/0b6e1173aba4db9e0b7aa27fe45019857fb90d6904038b83927cbe0a6c1d/scipy-1.15.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:af0b61c1de46d0565b4b39c6417373304c1d4f5220004058bdad3061c9fa8a95", size = 32610387 }, + { url = "https://files.pythonhosted.org/packages/e7/02/754aae3bd1fa0f2479ade3cfdf1732ecd6b05853f63eee6066a32684563a/scipy-1.15.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:71ba9a76c2390eca6e359be81a3e879614af3a71dfdabb96d1d7ab33da6f2364", size = 24883814 }, + { url = "https://files.pythonhosted.org/packages/1f/ac/d7906201604a2ea3b143bb0de51b3966f66441ba50b7dc182c4505b3edf9/scipy-1.15.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14eaa373c89eaf553be73c3affb11ec6c37493b7eaaf31cf9ac5dffae700c2e0", size = 27944865 }, + { url = "https://files.pythonhosted.org/packages/84/9d/8f539002b5e203723af6a6f513a45e0a7671e9dabeedb08f417ac17e4edc/scipy-1.15.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f735bc41bd1c792c96bc426dece66c8723283695f02df61dcc4d0a707a42fc54", size = 39883261 }, + { url = "https://files.pythonhosted.org/packages/97/c0/62fd3bab828bcccc9b864c5997645a3b86372a35941cdaf677565c25c98d/scipy-1.15.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2722a021a7929d21168830790202a75dbb20b468a8133c74a2c0230c72626b6c", size = 42093299 }, + { url = "https://files.pythonhosted.org/packages/e4/1f/5d46a8d94e9f6d2c913cbb109e57e7eed914de38ea99e2c4d69a9fc93140/scipy-1.15.1-cp313-cp313t-win_amd64.whl", hash = "sha256:bc7136626261ac1ed988dca56cfc4ab5180f75e0ee52e58f1e6aa74b5f3eacd5", size = 43181730 }, ] [[package]] @@ -4527,15 +2971,15 @@ wheels = [ [[package]] name = "sentry-sdk" -version = "2.19.2" +version = "2.20.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "certifi" }, { name = "urllib3" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/36/4a/eccdcb8c2649d53440ae1902447b86e2e2ad1bc84207c80af9696fa07614/sentry_sdk-2.19.2.tar.gz", hash = "sha256:467df6e126ba242d39952375dd816fbee0f217d119bf454a8ce74cf1e7909e8d", size = 299047 } +sdist = { url = "https://files.pythonhosted.org/packages/68/e8/6a366c0cd5e129dda6ecb20ff097f70b18182c248d4c27e813c21f98992a/sentry_sdk-2.20.0.tar.gz", hash = "sha256:afa82713a92facf847df3c6f63cec71eb488d826a50965def3d7722aa6f0fdab", size = 300125 } wheels = [ - { url = "https://files.pythonhosted.org/packages/31/4d/74597bb6bcc23abc774b8901277652c61331a9d4d0a8d1bdb20679b9bbcb/sentry_sdk-2.19.2-py2.py3-none-any.whl", hash = "sha256:ebdc08228b4d131128e568d696c210d846e5b9d70aa0327dec6b1272d9d40b84", size = 322942 }, + { url = "https://files.pythonhosted.org/packages/e6/0f/6f7e6cd0f4a141752caef3f79300148422fdf2b8b68b531f30b2b0c0cbda/sentry_sdk-2.20.0-py2.py3-none-any.whl", hash = "sha256:c359a1edf950eb5e80cffd7d9111f3dbeef57994cb4415df37d39fda2cf22364", size = 322576 }, ] [package.optional-dependencies] @@ -4545,11 +2989,11 @@ fastapi = [ [[package]] name = "setuptools" -version = "75.6.0" +version = "75.8.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/43/54/292f26c208734e9a7f067aea4a7e282c080750c4546559b58e2e45413ca0/setuptools-75.6.0.tar.gz", hash = "sha256:8199222558df7c86216af4f84c30e9b34a61d8ba19366cc914424cdbd28252f6", size = 1337429 } +sdist = { url = "https://files.pythonhosted.org/packages/92/ec/089608b791d210aec4e7f97488e67ab0d33add3efccb83a056cbafe3a2a6/setuptools-75.8.0.tar.gz", hash = "sha256:c5afc8f407c626b8313a86e10311dd3f661c6cd9c09d4bf8c15c0e11f9f2b0e6", size = 1343222 } wheels = [ - { url = "https://files.pythonhosted.org/packages/55/21/47d163f615df1d30c094f6c8bbb353619274edccf0327b185cc2493c2c33/setuptools-75.6.0-py3-none-any.whl", hash = "sha256:ce74b49e8f7110f9bf04883b730f4765b774ef3ef28f722cce7c273d253aaf7d", size = 1224032 }, + { url = "https://files.pythonhosted.org/packages/69/8a/b9dc7678803429e4a3bc9ba462fa3dd9066824d3c607490235c6a796be5a/setuptools-75.8.0-py3-none-any.whl", hash = "sha256:e3982f444617239225d675215d51f6ba05f845d4eec313da4418fdbb56fb27e3", size = 1228782 }, ] [[package]] @@ -4633,11 +3077,11 @@ wheels = [ [[package]] name = "smmap" -version = "5.0.1" +version = "5.0.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/88/04/b5bf6d21dc4041000ccba7eb17dd3055feb237e7ffc2c20d3fae3af62baa/smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62", size = 22291 } +sdist = { url = "https://files.pythonhosted.org/packages/44/cd/a040c4b3119bbe532e5b0732286f805445375489fceaec1f48306068ee3b/smmap-5.0.2.tar.gz", hash = "sha256:26ea65a03958fa0c8a1c7e8c7a58fdc77221b8910f6be2131affade476898ad5", size = 22329 } wheels = [ - { url = "https://files.pythonhosted.org/packages/a7/a5/10f97f73544edcdef54409f1d839f6049a0d79df68adbc1ceb24d1aaca42/smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da", size = 24282 }, + { url = "https://files.pythonhosted.org/packages/04/be/d09147ad1ec7934636ad912901c5fd7667e1c858e19d355237db0d0cd5e4/smmap-5.0.2-py3-none-any.whl", hash = "sha256:b30115f0def7d7531d22a0fb6502488d879e75b260a9db4d0819cfb25403af5e", size = 24303 }, ] [[package]] @@ -4649,15 +3093,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235 }, ] -[[package]] -name = "soupsieve" -version = "2.6" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/d7/ce/fbaeed4f9fb8b2daa961f90591662df6a86c1abf25c548329a86920aedfb/soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb", size = 101569 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/d1/c2/fe97d779f3ef3b15f05c94a2f1e3d21732574ed441687474db9d342a7315/soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9", size = 36186 }, -] - [[package]] name = "sqlalchemy" version = "2.0.36" @@ -4733,23 +3168,14 @@ wheels = [ [[package]] name = "starlette" -version = "0.36.3" +version = "0.45.3" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/be/47/1bba49d42d63f4453f0a64a20acbf2d0bd2f5a8cde6a166ee66c074a08f8/starlette-0.36.3.tar.gz", hash = "sha256:90a671733cfb35771d8cc605e0b679d23b992f8dcfad48cc60b38cb29aeb7080", size = 2842113 } +sdist = { url = "https://files.pythonhosted.org/packages/ff/fb/2984a686808b89a6781526129a4b51266f678b2d2b97ab2d325e56116df8/starlette-0.45.3.tar.gz", hash = "sha256:2cbcba2a75806f8a41c722141486f37c28e30a0921c5f6fe4346cb0dcee1302f", size = 2574076 } wheels = [ - { url = "https://files.pythonhosted.org/packages/eb/f7/372e3953b6e6fbfe0b70a1bb52612eae16e943f4288516480860fcd4ac41/starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044", size = 71481 }, -] - -[[package]] -name = "tabulate" -version = "0.9.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ec/fe/802052aecb21e3797b8f7902564ab6ea0d60ff8ca23952079064155d1ae1/tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c", size = 81090 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f", size = 35252 }, + { url = "https://files.pythonhosted.org/packages/d9/61/f2b52e107b1fc8944b33ef56bf6ac4ebbe16d91b94d2b87ce013bf63fb84/starlette-0.45.3-py3-none-any.whl", hash = "sha256:dfb6d332576f136ec740296c7e8bb8c8a7125044e7c6da30744718880cdd059d", size = 71507 }, ] [[package]] @@ -4883,45 +3309,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/44/69/d21eb253fa91622da25585d362a874fa4710be600f0ea9446d8d0217cec1/tokenizers-0.21.0-cp39-abi3-win_amd64.whl", hash = "sha256:87841da5a25a3a5f70c102de371db120f41873b854ba65e52bccd57df5a3780c", size = 2389192 }, ] -[[package]] -name = "tomli" -version = "2.2.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/18/87/302344fed471e44a87289cf4967697d07e532f2421fdaf868a303cbae4ff/tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff", size = 17175 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/43/ca/75707e6efa2b37c77dadb324ae7d9571cb424e61ea73fad7c56c2d14527f/tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249", size = 131077 }, - { url = "https://files.pythonhosted.org/packages/c7/16/51ae563a8615d472fdbffc43a3f3d46588c264ac4f024f63f01283becfbb/tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6", size = 123429 }, - { url = "https://files.pythonhosted.org/packages/f1/dd/4f6cd1e7b160041db83c694abc78e100473c15d54620083dbd5aae7b990e/tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a", size = 226067 }, - { url = "https://files.pythonhosted.org/packages/a9/6b/c54ede5dc70d648cc6361eaf429304b02f2871a345bbdd51e993d6cdf550/tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee", size = 236030 }, - { url = "https://files.pythonhosted.org/packages/1f/47/999514fa49cfaf7a92c805a86c3c43f4215621855d151b61c602abb38091/tomli-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e", size = 240898 }, - { url = "https://files.pythonhosted.org/packages/73/41/0a01279a7ae09ee1573b423318e7934674ce06eb33f50936655071d81a24/tomli-2.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4", size = 229894 }, - { url = "https://files.pythonhosted.org/packages/55/18/5d8bc5b0a0362311ce4d18830a5d28943667599a60d20118074ea1b01bb7/tomli-2.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106", size = 245319 }, - { url = "https://files.pythonhosted.org/packages/92/a3/7ade0576d17f3cdf5ff44d61390d4b3febb8a9fc2b480c75c47ea048c646/tomli-2.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8", size = 238273 }, - { url = "https://files.pythonhosted.org/packages/72/6f/fa64ef058ac1446a1e51110c375339b3ec6be245af9d14c87c4a6412dd32/tomli-2.2.1-cp311-cp311-win32.whl", hash = "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff", size = 98310 }, - { url = "https://files.pythonhosted.org/packages/6a/1c/4a2dcde4a51b81be3530565e92eda625d94dafb46dbeb15069df4caffc34/tomli-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b", size = 108309 }, - { url = "https://files.pythonhosted.org/packages/52/e1/f8af4c2fcde17500422858155aeb0d7e93477a0d59a98e56cbfe75070fd0/tomli-2.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea", size = 132762 }, - { url = "https://files.pythonhosted.org/packages/03/b8/152c68bb84fc00396b83e7bbddd5ec0bd3dd409db4195e2a9b3e398ad2e3/tomli-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8", size = 123453 }, - { url = "https://files.pythonhosted.org/packages/c8/d6/fc9267af9166f79ac528ff7e8c55c8181ded34eb4b0e93daa767b8841573/tomli-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192", size = 233486 }, - { url = "https://files.pythonhosted.org/packages/5c/51/51c3f2884d7bab89af25f678447ea7d297b53b5a3b5730a7cb2ef6069f07/tomli-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222", size = 242349 }, - { url = "https://files.pythonhosted.org/packages/ab/df/bfa89627d13a5cc22402e441e8a931ef2108403db390ff3345c05253935e/tomli-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77", size = 252159 }, - { url = "https://files.pythonhosted.org/packages/9e/6e/fa2b916dced65763a5168c6ccb91066f7639bdc88b48adda990db10c8c0b/tomli-2.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6", size = 237243 }, - { url = "https://files.pythonhosted.org/packages/b4/04/885d3b1f650e1153cbb93a6a9782c58a972b94ea4483ae4ac5cedd5e4a09/tomli-2.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd", size = 259645 }, - { url = "https://files.pythonhosted.org/packages/9c/de/6b432d66e986e501586da298e28ebeefd3edc2c780f3ad73d22566034239/tomli-2.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e", size = 244584 }, - { url = "https://files.pythonhosted.org/packages/1c/9a/47c0449b98e6e7d1be6cbac02f93dd79003234ddc4aaab6ba07a9a7482e2/tomli-2.2.1-cp312-cp312-win32.whl", hash = "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98", size = 98875 }, - { url = "https://files.pythonhosted.org/packages/ef/60/9b9638f081c6f1261e2688bd487625cd1e660d0a85bd469e91d8db969734/tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4", size = 109418 }, - { url = "https://files.pythonhosted.org/packages/04/90/2ee5f2e0362cb8a0b6499dc44f4d7d48f8fff06d28ba46e6f1eaa61a1388/tomli-2.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7", size = 132708 }, - { url = "https://files.pythonhosted.org/packages/c0/ec/46b4108816de6b385141f082ba99e315501ccd0a2ea23db4a100dd3990ea/tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c", size = 123582 }, - { url = "https://files.pythonhosted.org/packages/a0/bd/b470466d0137b37b68d24556c38a0cc819e8febe392d5b199dcd7f578365/tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13", size = 232543 }, - { url = "https://files.pythonhosted.org/packages/d9/e5/82e80ff3b751373f7cead2815bcbe2d51c895b3c990686741a8e56ec42ab/tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281", size = 241691 }, - { url = "https://files.pythonhosted.org/packages/05/7e/2a110bc2713557d6a1bfb06af23dd01e7dde52b6ee7dadc589868f9abfac/tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272", size = 251170 }, - { url = "https://files.pythonhosted.org/packages/64/7b/22d713946efe00e0adbcdfd6d1aa119ae03fd0b60ebed51ebb3fa9f5a2e5/tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140", size = 236530 }, - { url = "https://files.pythonhosted.org/packages/38/31/3a76f67da4b0cf37b742ca76beaf819dca0ebef26d78fc794a576e08accf/tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2", size = 258666 }, - { url = "https://files.pythonhosted.org/packages/07/10/5af1293da642aded87e8a988753945d0cf7e00a9452d3911dd3bb354c9e2/tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744", size = 243954 }, - { url = "https://files.pythonhosted.org/packages/5b/b9/1ed31d167be802da0fc95020d04cd27b7d7065cc6fbefdd2f9186f60d7bd/tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec", size = 98724 }, - { url = "https://files.pythonhosted.org/packages/c7/32/b0963458706accd9afcfeb867c0f9175a741bf7b19cd424230714d722198/tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69", size = 109383 }, - { url = "https://files.pythonhosted.org/packages/6e/c2/61d3e0f47e2b74ef40a68b9e6ad5984f6241a942f7cd3bbfbdbd03861ea9/tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc", size = 14257 }, -] - [[package]] name = "tomlkit" version = "0.13.2" @@ -4954,7 +3341,7 @@ name = "tqdm" version = "4.67.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "colorama", marker = "platform_system == 'Windows'" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 } wheels = [ @@ -4963,7 +3350,7 @@ wheels = [ [[package]] name = "transformers" -version = "4.47.1" +version = "4.48.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "filelock" }, @@ -4977,23 +3364,9 @@ dependencies = [ { name = "tokenizers" }, { name = "tqdm" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/15/1a/936aeb4f88112f670b604f5748034568dbc2b9bbb457a8d4518b1a15510a/transformers-4.47.1.tar.gz", hash = "sha256:6c29c05a5f595e278481166539202bf8641281536df1c42357ee58a45d0a564a", size = 8707421 } +sdist = { url = "https://files.pythonhosted.org/packages/21/6b/caf620fae7fbf35947c81e7dd0834493b9ad9b71bb9e433025ac7a07e79a/transformers-4.48.1.tar.gz", hash = "sha256:7c1931facc3ee8adcbf86fc7a87461d54c1e40eca3bb57fef1ee9f3ecd32187e", size = 8365872 } wheels = [ - { url = "https://files.pythonhosted.org/packages/f2/3a/8bdab26e09c5a242182b7ba9152e216d5ab4ae2d78c4298eb4872549cd35/transformers-4.47.1-py3-none-any.whl", hash = "sha256:d2f5d19bb6283cd66c893ec7e6d931d6370bbf1cc93633326ff1f41a40046c9c", size = 10133598 }, -] - -[[package]] -name = "tweepy" -version = "4.14.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "oauthlib" }, - { name = "requests" }, - { name = "requests-oauthlib" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/75/1c/0db8c3cf9d31bf63853ff612d201060ae78e6db03468a70e063bef0eda62/tweepy-4.14.0.tar.gz", hash = "sha256:1f9f1707d6972de6cff6c5fd90dfe6a449cd2e0d70bd40043ffab01e07a06c8c", size = 88623 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/4d/78/ba0065d5636bbf4a35b78c4f81b74e7858b609cdf69e629d6da5c91b9d92/tweepy-4.14.0-py3-none-any.whl", hash = "sha256:db6d3844ccc0c6d27f339f12ba8acc89912a961da513c1ae50fa2be502a56afb", size = 98520 }, + { url = "https://files.pythonhosted.org/packages/7b/9f/92d3091c44cb19add044064af1bf1345cd35fbb84d32a3690f912800a295/transformers-4.48.1-py3-none-any.whl", hash = "sha256:24be0564b0a36d9e433d9a65de248f1545b6f6edce1737669605eb6a8141bbbb", size = 9665001 }, ] [[package]] @@ -5013,11 +3386,11 @@ wheels = [ [[package]] name = "types-setuptools" -version = "75.6.0.20241126" +version = "75.8.0.20250110" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/c2/d2/15ede73bc3faf647af2c7bfefa90dde563a4b6bb580b1199f6255463c272/types_setuptools-75.6.0.20241126.tar.gz", hash = "sha256:7bf25ad4be39740e469f9268b6beddda6e088891fa5a27e985c6ce68bf62ace0", size = 48569 } +sdist = { url = "https://files.pythonhosted.org/packages/f7/42/5713e90d4f9683f2301d900f33e4fc2405ad8ac224dda30f6cb7f4cd215b/types_setuptools-75.8.0.20250110.tar.gz", hash = "sha256:96f7ec8bbd6e0a54ea180d66ad68ad7a1d7954e7281a710ea2de75e355545271", size = 48185 } wheels = [ - { url = "https://files.pythonhosted.org/packages/3b/a0/898a1363592d372d4103b76b7c723d84fcbde5fa4ed0c3a29102805ed7db/types_setuptools-75.6.0.20241126-py3-none-any.whl", hash = "sha256:aaae310a0e27033c1da8457d4d26ac673b0c8a0de7272d6d4708e263f2ea3b9b", size = 72732 }, + { url = "https://files.pythonhosted.org/packages/cf/a3/dbfd106751b11c728cec21cc62cbfe7ff7391b935c4b6e8f0bdc2e6fd541/types_setuptools-75.8.0.20250110-py3-none-any.whl", hash = "sha256:a9f12980bbf9bcdc23ecd80755789085bad6bfce4060c2275bc2b4ca9f2bc480", size = 71521 }, ] [[package]] @@ -5029,19 +3402,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d", size = 37438 }, ] -[[package]] -name = "typing-inspect" -version = "0.9.0" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "mypy-extensions" }, - { name = "typing-extensions" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/dc/74/1789779d91f1961fa9438e9a8710cdae6bd138c80d7303996933d117264a/typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78", size = 13825 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/65/f3/107a22063bf27bdccf2024833d3445f4eea42b2e598abfbd46f6a63b6cb0/typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f", size = 8827 }, -] - [[package]] name = "tzdata" version = "2024.2" @@ -5051,239 +3411,41 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a6/ab/7e5f53c3b9d14972843a647d8d7a853969a58aecc7559cb3267302c94774/tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd", size = 346586 }, ] -[[package]] -name = "ujson" -version = "5.10.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/f0/00/3110fd566786bfa542adb7932d62035e0c0ef662a8ff6544b6643b3d6fd7/ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1", size = 7154885 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/7d/91/91678e49a9194f527e60115db84368c237ac7824992224fac47dcb23a5c6/ujson-5.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2601aa9ecdbee1118a1c2065323bda35e2c5a2cf0797ef4522d485f9d3ef65bd", size = 55354 }, - { url = "https://files.pythonhosted.org/packages/de/2f/1ed8c9b782fa4f44c26c1c4ec686d728a4865479da5712955daeef0b2e7b/ujson-5.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:348898dd702fc1c4f1051bc3aacbf894caa0927fe2c53e68679c073375f732cf", size = 51808 }, - { url = "https://files.pythonhosted.org/packages/51/bf/a3a38b2912288143e8e613c6c4c3f798b5e4e98c542deabf94c60237235f/ujson-5.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22cffecf73391e8abd65ef5f4e4dd523162a3399d5e84faa6aebbf9583df86d6", size = 51995 }, - { url = "https://files.pythonhosted.org/packages/b4/6d/0df8f7a6f1944ba619d93025ce468c9252aa10799d7140e07014dfc1a16c/ujson-5.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26b0e2d2366543c1bb4fbd457446f00b0187a2bddf93148ac2da07a53fe51569", size = 53566 }, - { url = "https://files.pythonhosted.org/packages/d5/ec/370741e5e30d5f7dc7f31a478d5bec7537ce6bfb7f85e72acefbe09aa2b2/ujson-5.10.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:caf270c6dba1be7a41125cd1e4fc7ba384bf564650beef0df2dd21a00b7f5770", size = 58499 }, - { url = "https://files.pythonhosted.org/packages/fe/29/72b33a88f7fae3c398f9ba3e74dc2e5875989b25f1c1f75489c048a2cf4e/ujson-5.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a245d59f2ffe750446292b0094244df163c3dc96b3ce152a2c837a44e7cda9d1", size = 997881 }, - { url = "https://files.pythonhosted.org/packages/70/5c/808fbf21470e7045d56a282cf5e85a0450eacdb347d871d4eb404270ee17/ujson-5.10.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:94a87f6e151c5f483d7d54ceef83b45d3a9cca7a9cb453dbdbb3f5a6f64033f5", size = 1140631 }, - { url = "https://files.pythonhosted.org/packages/8f/6a/e1e8281408e6270d6ecf2375af14d9e2f41c402ab6b161ecfa87a9727777/ujson-5.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:29b443c4c0a113bcbb792c88bea67b675c7ca3ca80c3474784e08bba01c18d51", size = 1043511 }, - { url = "https://files.pythonhosted.org/packages/cb/ca/e319acbe4863919ec62498bc1325309f5c14a3280318dca10fe1db3cb393/ujson-5.10.0-cp310-cp310-win32.whl", hash = "sha256:c18610b9ccd2874950faf474692deee4223a994251bc0a083c114671b64e6518", size = 38626 }, - { url = "https://files.pythonhosted.org/packages/78/ec/dc96ca379de33f73b758d72e821ee4f129ccc32221f4eb3f089ff78d8370/ujson-5.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:924f7318c31874d6bb44d9ee1900167ca32aa9b69389b98ecbde34c1698a250f", size = 42076 }, - { url = "https://files.pythonhosted.org/packages/23/ec/3c551ecfe048bcb3948725251fb0214b5844a12aa60bee08d78315bb1c39/ujson-5.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a5b366812c90e69d0f379a53648be10a5db38f9d4ad212b60af00bd4048d0f00", size = 55353 }, - { url = "https://files.pythonhosted.org/packages/8d/9f/4731ef0671a0653e9f5ba18db7c4596d8ecbf80c7922dd5fe4150f1aea76/ujson-5.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:502bf475781e8167f0f9d0e41cd32879d120a524b22358e7f205294224c71126", size = 51813 }, - { url = "https://files.pythonhosted.org/packages/1f/2b/44d6b9c1688330bf011f9abfdb08911a9dc74f76926dde74e718d87600da/ujson-5.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b91b5d0d9d283e085e821651184a647699430705b15bf274c7896f23fe9c9d8", size = 51988 }, - { url = "https://files.pythonhosted.org/packages/29/45/f5f5667427c1ec3383478092a414063ddd0dfbebbcc533538fe37068a0a3/ujson-5.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:129e39af3a6d85b9c26d5577169c21d53821d8cf68e079060602e861c6e5da1b", size = 53561 }, - { url = "https://files.pythonhosted.org/packages/26/21/a0c265cda4dd225ec1be595f844661732c13560ad06378760036fc622587/ujson-5.10.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f77b74475c462cb8b88680471193064d3e715c7c6074b1c8c412cb526466efe9", size = 58497 }, - { url = "https://files.pythonhosted.org/packages/28/36/8fde862094fd2342ccc427a6a8584fed294055fdee341661c78660f7aef3/ujson-5.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:7ec0ca8c415e81aa4123501fee7f761abf4b7f386aad348501a26940beb1860f", size = 997877 }, - { url = "https://files.pythonhosted.org/packages/90/37/9208e40d53baa6da9b6a1c719e0670c3f474c8fc7cc2f1e939ec21c1bc93/ujson-5.10.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:ab13a2a9e0b2865a6c6db9271f4b46af1c7476bfd51af1f64585e919b7c07fd4", size = 1140632 }, - { url = "https://files.pythonhosted.org/packages/89/d5/2626c87c59802863d44d19e35ad16b7e658e4ac190b0dead17ff25460b4c/ujson-5.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:57aaf98b92d72fc70886b5a0e1a1ca52c2320377360341715dd3933a18e827b1", size = 1043513 }, - { url = "https://files.pythonhosted.org/packages/2f/ee/03662ce9b3f16855770f0d70f10f0978ba6210805aa310c4eebe66d36476/ujson-5.10.0-cp311-cp311-win32.whl", hash = "sha256:2987713a490ceb27edff77fb184ed09acdc565db700ee852823c3dc3cffe455f", size = 38616 }, - { url = "https://files.pythonhosted.org/packages/3e/20/952dbed5895835ea0b82e81a7be4ebb83f93b079d4d1ead93fcddb3075af/ujson-5.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:f00ea7e00447918ee0eff2422c4add4c5752b1b60e88fcb3c067d4a21049a720", size = 42071 }, - { url = "https://files.pythonhosted.org/packages/e8/a6/fd3f8bbd80842267e2d06c3583279555e8354c5986c952385199d57a5b6c/ujson-5.10.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:98ba15d8cbc481ce55695beee9f063189dce91a4b08bc1d03e7f0152cd4bbdd5", size = 55642 }, - { url = "https://files.pythonhosted.org/packages/a8/47/dd03fd2b5ae727e16d5d18919b383959c6d269c7b948a380fdd879518640/ujson-5.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a9d2edbf1556e4f56e50fab7d8ff993dbad7f54bac68eacdd27a8f55f433578e", size = 51807 }, - { url = "https://files.pythonhosted.org/packages/25/23/079a4cc6fd7e2655a473ed9e776ddbb7144e27f04e8fc484a0fb45fe6f71/ujson-5.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6627029ae4f52d0e1a2451768c2c37c0c814ffc04f796eb36244cf16b8e57043", size = 51972 }, - { url = "https://files.pythonhosted.org/packages/04/81/668707e5f2177791869b624be4c06fb2473bf97ee33296b18d1cf3092af7/ujson-5.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8ccb77b3e40b151e20519c6ae6d89bfe3f4c14e8e210d910287f778368bb3d1", size = 53686 }, - { url = "https://files.pythonhosted.org/packages/bd/50/056d518a386d80aaf4505ccf3cee1c40d312a46901ed494d5711dd939bc3/ujson-5.10.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3caf9cd64abfeb11a3b661329085c5e167abbe15256b3b68cb5d914ba7396f3", size = 58591 }, - { url = "https://files.pythonhosted.org/packages/fc/d6/aeaf3e2d6fb1f4cfb6bf25f454d60490ed8146ddc0600fae44bfe7eb5a72/ujson-5.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6e32abdce572e3a8c3d02c886c704a38a1b015a1fb858004e03d20ca7cecbb21", size = 997853 }, - { url = "https://files.pythonhosted.org/packages/f8/d5/1f2a5d2699f447f7d990334ca96e90065ea7f99b142ce96e85f26d7e78e2/ujson-5.10.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:a65b6af4d903103ee7b6f4f5b85f1bfd0c90ba4eeac6421aae436c9988aa64a2", size = 1140689 }, - { url = "https://files.pythonhosted.org/packages/f2/2c/6990f4ccb41ed93744aaaa3786394bca0875503f97690622f3cafc0adfde/ujson-5.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:604a046d966457b6cdcacc5aa2ec5314f0e8c42bae52842c1e6fa02ea4bda42e", size = 1043576 }, - { url = "https://files.pythonhosted.org/packages/14/f5/a2368463dbb09fbdbf6a696062d0c0f62e4ae6fa65f38f829611da2e8fdd/ujson-5.10.0-cp312-cp312-win32.whl", hash = "sha256:6dea1c8b4fc921bf78a8ff00bbd2bfe166345f5536c510671bccececb187c80e", size = 38764 }, - { url = "https://files.pythonhosted.org/packages/59/2d/691f741ffd72b6c84438a93749ac57bf1a3f217ac4b0ea4fd0e96119e118/ujson-5.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:38665e7d8290188b1e0d57d584eb8110951a9591363316dd41cf8686ab1d0abc", size = 42211 }, - { url = "https://files.pythonhosted.org/packages/0d/69/b3e3f924bb0e8820bb46671979770c5be6a7d51c77a66324cdb09f1acddb/ujson-5.10.0-cp313-cp313-macosx_10_9_x86_64.whl", hash = "sha256:618efd84dc1acbd6bff8eaa736bb6c074bfa8b8a98f55b61c38d4ca2c1f7f287", size = 55646 }, - { url = "https://files.pythonhosted.org/packages/32/8a/9b748eb543c6cabc54ebeaa1f28035b1bd09c0800235b08e85990734c41e/ujson-5.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:38d5d36b4aedfe81dfe251f76c0467399d575d1395a1755de391e58985ab1c2e", size = 51806 }, - { url = "https://files.pythonhosted.org/packages/39/50/4b53ea234413b710a18b305f465b328e306ba9592e13a791a6a6b378869b/ujson-5.10.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:67079b1f9fb29ed9a2914acf4ef6c02844b3153913eb735d4bf287ee1db6e557", size = 51975 }, - { url = "https://files.pythonhosted.org/packages/b4/9d/8061934f960cdb6dd55f0b3ceeff207fcc48c64f58b43403777ad5623d9e/ujson-5.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7d0e0ceeb8fe2468c70ec0c37b439dd554e2aa539a8a56365fd761edb418988", size = 53693 }, - { url = "https://files.pythonhosted.org/packages/f5/be/7bfa84b28519ddbb67efc8410765ca7da55e6b93aba84d97764cd5794dbc/ujson-5.10.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:59e02cd37bc7c44d587a0ba45347cc815fb7a5fe48de16bf05caa5f7d0d2e816", size = 58594 }, - { url = "https://files.pythonhosted.org/packages/48/eb/85d465abafb2c69d9699cfa5520e6e96561db787d36c677370e066c7e2e7/ujson-5.10.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:2a890b706b64e0065f02577bf6d8ca3b66c11a5e81fb75d757233a38c07a1f20", size = 997853 }, - { url = "https://files.pythonhosted.org/packages/9f/76/2a63409fc05d34dd7d929357b7a45e3a2c96f22b4225cd74becd2ba6c4cb/ujson-5.10.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:621e34b4632c740ecb491efc7f1fcb4f74b48ddb55e65221995e74e2d00bbff0", size = 1140694 }, - { url = "https://files.pythonhosted.org/packages/45/ed/582c4daba0f3e1688d923b5cb914ada1f9defa702df38a1916c899f7c4d1/ujson-5.10.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:b9500e61fce0cfc86168b248104e954fead61f9be213087153d272e817ec7b4f", size = 1043580 }, - { url = "https://files.pythonhosted.org/packages/d7/0c/9837fece153051e19c7bade9f88f9b409e026b9525927824cdf16293b43b/ujson-5.10.0-cp313-cp313-win32.whl", hash = "sha256:4c4fc16f11ac1612f05b6f5781b384716719547e142cfd67b65d035bd85af165", size = 38766 }, - { url = "https://files.pythonhosted.org/packages/d7/72/6cb6728e2738c05bbe9bd522d6fc79f86b9a28402f38663e85a28fddd4a0/ujson-5.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:4573fd1695932d4f619928fd09d5d03d917274381649ade4328091ceca175539", size = 42212 }, - { url = "https://files.pythonhosted.org/packages/95/53/e5f5e733fc3525e65f36f533b0dbece5e5e2730b760e9beacf7e3d9d8b26/ujson-5.10.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5b6fee72fa77dc172a28f21693f64d93166534c263adb3f96c413ccc85ef6e64", size = 51846 }, - { url = "https://files.pythonhosted.org/packages/59/1f/f7bc02a54ea7b47f3dc2d125a106408f18b0f47b14fc737f0913483ae82b/ujson-5.10.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:61d0af13a9af01d9f26d2331ce49bb5ac1fb9c814964018ac8df605b5422dcb3", size = 48103 }, - { url = "https://files.pythonhosted.org/packages/1a/3a/d3921b6f29bc744d8d6c56db5f8bbcbe55115fd0f2b79c3c43ff292cc7c9/ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecb24f0bdd899d368b715c9e6664166cf694d1e57be73f17759573a6986dd95a", size = 47257 }, - { url = "https://files.pythonhosted.org/packages/f1/04/f4e3883204b786717038064afd537389ba7d31a72b437c1372297cb651ea/ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbd8fd427f57a03cff3ad6574b5e299131585d9727c8c366da4624a9069ed746", size = 48468 }, - { url = "https://files.pythonhosted.org/packages/17/cd/9c6547169eb01a22b04cbb638804ccaeb3c2ec2afc12303464e0f9b2ee5a/ujson-5.10.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:beeaf1c48e32f07d8820c705ff8e645f8afa690cca1544adba4ebfa067efdc88", size = 54266 }, - { url = "https://files.pythonhosted.org/packages/70/bf/ecd14d3cf6127f8a990b01f0ad20e257f5619a555f47d707c57d39934894/ujson-5.10.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:baed37ea46d756aca2955e99525cc02d9181de67f25515c468856c38d52b5f3b", size = 42224 }, -] - -[[package]] -name = "unstructured" -version = "0.16.11" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "backoff" }, - { name = "beautifulsoup4" }, - { name = "chardet" }, - { name = "dataclasses-json" }, - { name = "emoji" }, - { name = "filetype" }, - { name = "html5lib" }, - { name = "langdetect" }, - { name = "lxml" }, - { name = "nltk" }, - { name = "numpy" }, - { name = "psutil" }, - { name = "python-iso639" }, - { name = "python-magic" }, - { name = "python-oxmsg" }, - { name = "rapidfuzz" }, - { name = "requests" }, - { name = "tqdm" }, - { name = "typing-extensions" }, - { name = "unstructured-client" }, - { name = "wrapt" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/08/c3/5bd80074a63c972f0f9adac5276955f6cbcceb71ac05ae72cc524ad93813/unstructured-0.16.11.tar.gz", hash = "sha256:33ebf68aae11ce33c8a96335296557b5abd8ba96eaba3e5a1554c0b9eee40bb5", size = 1664314 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/59/67/71d1e61e8127dd9ab66117d3c5ebfc6f87c1d00bf13ff3bcc837feed6e09/unstructured-0.16.11-py3-none-any.whl", hash = "sha256:a92d5bc2c2b7bb23369641fb7a7f0daba1775639199306ce4cd83ca564a03763", size = 1748042 }, -] - -[package.optional-dependencies] -csv = [ - { name = "pandas" }, -] -doc = [ - { name = "python-docx" }, -] -docx = [ - { name = "python-docx" }, -] -epub = [ - { name = "pypandoc" }, -] -md = [ - { name = "markdown" }, -] -odt = [ - { name = "pypandoc" }, - { name = "python-docx" }, -] -org = [ - { name = "pypandoc" }, -] -ppt = [ - { name = "python-pptx" }, -] -pptx = [ - { name = "python-pptx" }, -] -rst = [ - { name = "pypandoc" }, -] -rtf = [ - { name = "pypandoc" }, -] -tsv = [ - { name = "pandas" }, -] -xlsx = [ - { name = "networkx" }, - { name = "openpyxl" }, - { name = "pandas" }, - { name = "xlrd" }, -] - -[[package]] -name = "unstructured-client" -version = "0.25.9" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "certifi" }, - { name = "charset-normalizer" }, - { name = "cryptography" }, - { name = "dataclasses-json" }, - { name = "deepdiff" }, - { name = "httpx" }, - { name = "idna" }, - { name = "jsonpath-python" }, - { name = "marshmallow" }, - { name = "mypy-extensions" }, - { name = "nest-asyncio" }, - { name = "packaging" }, - { name = "pypdf" }, - { name = "python-dateutil" }, - { name = "requests" }, - { name = "requests-toolbelt" }, - { name = "six" }, - { name = "typing-extensions" }, - { name = "typing-inspect" }, - { name = "urllib3" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/cf/b2/1214a9391951754a770d6be81a67093e827a198f610dbaa971fea2b65a3a/unstructured-client-0.25.9.tar.gz", hash = "sha256:fcc461623f58fefb0e22508e28bf653a8f6934b9779cb4a90dd68d77a39fb5b2", size = 39986 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/42/71/f0e594858f251ee2ac2edfe532714fd47afcc4e9294a3862a7c19ec13cf6/unstructured_client-0.25.9-py3-none-any.whl", hash = "sha256:c984c01878c8fc243be7c842467d1113a194d885ab6396ae74258ee42717c5b5", size = 45296 }, -] - [[package]] name = "urllib3" -version = "2.2.3" +version = "2.3.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/ed/63/22ba4ebfe7430b76388e7cd448d5478814d3032121827c12a2cc287e2260/urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9", size = 300677 } +sdist = { url = "https://files.pythonhosted.org/packages/aa/63/e53da845320b757bf29ef6a9062f5c669fe997973f966045cb019c3f4b66/urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d", size = 307268 } wheels = [ - { url = "https://files.pythonhosted.org/packages/ce/d9/5f4c13cecde62396b0d3fe530a50ccea91e7dfc1ccf0e09c228841bb5ba8/urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac", size = 126338 }, + { url = "https://files.pythonhosted.org/packages/c8/19/4ec628951a74043532ca2cf5d97b7b14863931476d117c471e8e2b1eb39f/urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df", size = 128369 }, ] [[package]] name = "uvicorn" -version = "0.22.0" +version = "0.34.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "click" }, { name = "h11" }, + { name = "typing-extensions", marker = "python_full_version < '3.11'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/c6/dd/0d3bab50ab4ef8bec849f89fec2adc2fabcc397018c30e57d9f0d4009c5e/uvicorn-0.22.0.tar.gz", hash = "sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8", size = 37688 } +sdist = { url = "https://files.pythonhosted.org/packages/4b/4d/938bd85e5bf2edeec766267a5015ad969730bb91e31b44021dfe8b22df6c/uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9", size = 76568 } wheels = [ - { url = "https://files.pythonhosted.org/packages/ad/bd/d47ee02312640fcf26c7e1c807402d5c5eab468571153a94ec8f7ada0e46/uvicorn-0.22.0-py3-none-any.whl", hash = "sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996", size = 58345 }, -] - -[[package]] -name = "validators" -version = "0.33.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/5d/af/5ad4fed95276e3eb7628d858c88cd205799bcad847e46223760a3129cbb1/validators-0.33.0.tar.gz", hash = "sha256:535867e9617f0100e676a1257ba1e206b9bfd847ddc171e4d44811f07ff0bfbf", size = 70741 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/04/22/91b4bd36df27e651daedd93d03d5d3bb6029fdb0b55494e45ee46c36c570/validators-0.33.0-py3-none-any.whl", hash = "sha256:134b586a98894f8139865953899fc2daeb3d0c35569552c5518f089ae43ed075", size = 43298 }, + { url = "https://files.pythonhosted.org/packages/61/14/33a3a1352cfa71812a3a21e8c9bfb83f60b0011f5e36f2b1399d51928209/uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4", size = 62315 }, ] [[package]] name = "virtualenv" -version = "20.28.0" +version = "20.29.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "distlib" }, { name = "filelock" }, { name = "platformdirs" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/bf/75/53316a5a8050069228a2f6d11f32046cfa94fbb6cc3f08703f59b873de2e/virtualenv-20.28.0.tar.gz", hash = "sha256:2c9c3262bb8e7b87ea801d715fae4495e6032450c71d2309be9550e7364049aa", size = 7650368 } +sdist = { url = "https://files.pythonhosted.org/packages/a7/ca/f23dcb02e161a9bba141b1c08aa50e8da6ea25e6d780528f1d385a3efe25/virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35", size = 7658028 } wheels = [ - { url = "https://files.pythonhosted.org/packages/10/f9/0919cf6f1432a8c4baa62511f8f8da8225432d22e83e3476f5be1a1edc6e/virtualenv-20.28.0-py3-none-any.whl", hash = "sha256:23eae1b4516ecd610481eda647f3a7c09aea295055337331bb4e6892ecce47b0", size = 4276702 }, -] - -[[package]] -name = "weaviate-client" -version = "4.6.7" -source = { registry = "https://pypi.org/simple" } -dependencies = [ - { name = "authlib" }, - { name = "grpcio" }, - { name = "grpcio-health-checking" }, - { name = "grpcio-tools" }, - { name = "httpx" }, - { name = "pydantic" }, - { name = "requests" }, - { name = "validators" }, -] -sdist = { url = "https://files.pythonhosted.org/packages/24/01/96606279fb32b5f48bef649cd36205de9d4b63649d0014c66c8267170af1/weaviate_client-4.6.7.tar.gz", hash = "sha256:202b32e160536f5f44e4a635d30c3d3a0790b1a7ff997f5e243919d1ac5b68a1", size = 634078 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/76/03/ec9746f437e1247e2f66dbd1e4ef157d6d2df121dafdcea74ac4d08fa4ea/weaviate_client-4.6.7-py3-none-any.whl", hash = "sha256:8793de35264cab33a84fe8cb8c422a257fe4d8334657aaddd8ead853da3fb34a", size = 328880 }, -] - -[[package]] -name = "webencodings" -version = "0.5.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/0b/02/ae6ceac1baeda530866a85075641cec12989bd8d31af6d5ab4a3e8c92f47/webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923", size = 9721 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774 }, + { url = "https://files.pythonhosted.org/packages/89/9b/599bcfc7064fbe5740919e78c5df18e5dceb0887e676256a1061bb5ae232/virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779", size = 4282379 }, ] [[package]] @@ -5302,74 +3464,66 @@ wheels = [ [[package]] name = "wrapt" -version = "1.17.0" +version = "1.17.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/24/a1/fc03dca9b0432725c2e8cdbf91a349d2194cf03d8523c124faebe581de09/wrapt-1.17.0.tar.gz", hash = "sha256:16187aa2317c731170a88ef35e8937ae0f533c402872c1ee5e6d079fcf320801", size = 55542 } +sdist = { url = "https://files.pythonhosted.org/packages/c3/fc/e91cc220803d7bc4db93fb02facd8461c37364151b8494762cc88b0fbcef/wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3", size = 55531 } wheels = [ - { url = "https://files.pythonhosted.org/packages/99/f9/85220321e9bb1a5f72ccce6604395ae75fcb463d87dad0014dc1010bd1f1/wrapt-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a0c23b8319848426f305f9cb0c98a6e32ee68a36264f45948ccf8e7d2b941f8", size = 38766 }, - { url = "https://files.pythonhosted.org/packages/ff/71/ff624ff3bde91ceb65db6952cdf8947bc0111d91bd2359343bc2fa7c57fd/wrapt-1.17.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1ca5f060e205f72bec57faae5bd817a1560fcfc4af03f414b08fa29106b7e2d", size = 83262 }, - { url = "https://files.pythonhosted.org/packages/9f/0a/814d4a121a643af99cfe55a43e9e6dd08f4a47cdac8e8f0912c018794715/wrapt-1.17.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e185ec6060e301a7e5f8461c86fb3640a7beb1a0f0208ffde7a65ec4074931df", size = 74990 }, - { url = "https://files.pythonhosted.org/packages/cd/c7/b8c89bf5ca5c4e6a2d0565d149d549cdb4cffb8916d1d1b546b62fb79281/wrapt-1.17.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb90765dd91aed05b53cd7a87bd7f5c188fcd95960914bae0d32c5e7f899719d", size = 82712 }, - { url = "https://files.pythonhosted.org/packages/19/7c/5977aefa8460906c1ff914fd42b11cf6c09ded5388e46e1cc6cea4ab15e9/wrapt-1.17.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:879591c2b5ab0a7184258274c42a126b74a2c3d5a329df16d69f9cee07bba6ea", size = 81705 }, - { url = "https://files.pythonhosted.org/packages/ae/e7/233402d7bd805096bb4a8ec471f5a141421a01de3c8c957cce569772c056/wrapt-1.17.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:fce6fee67c318fdfb7f285c29a82d84782ae2579c0e1b385b7f36c6e8074fffb", size = 74636 }, - { url = "https://files.pythonhosted.org/packages/93/81/b6c32d8387d9cfbc0134f01585dee7583315c3b46dfd3ae64d47693cd078/wrapt-1.17.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0698d3a86f68abc894d537887b9bbf84d29bcfbc759e23f4644be27acf6da301", size = 81299 }, - { url = "https://files.pythonhosted.org/packages/d1/c3/1fae15d453468c98f09519076f8d401b476d18d8d94379e839eed14c4c8b/wrapt-1.17.0-cp310-cp310-win32.whl", hash = "sha256:69d093792dc34a9c4c8a70e4973a3361c7a7578e9cd86961b2bbf38ca71e4e22", size = 36425 }, - { url = "https://files.pythonhosted.org/packages/c6/f4/77e0886c95556f2b4caa8908ea8eb85f713fc68296a2113f8c63d50fe0fb/wrapt-1.17.0-cp310-cp310-win_amd64.whl", hash = "sha256:f28b29dc158ca5d6ac396c8e0a2ef45c4e97bb7e65522bfc04c989e6fe814575", size = 38748 }, - { url = "https://files.pythonhosted.org/packages/0e/40/def56538acddc2f764c157d565b9f989072a1d2f2a8e384324e2e104fc7d/wrapt-1.17.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:74bf625b1b4caaa7bad51d9003f8b07a468a704e0644a700e936c357c17dd45a", size = 38766 }, - { url = "https://files.pythonhosted.org/packages/89/e2/8c299f384ae4364193724e2adad99f9504599d02a73ec9199bf3f406549d/wrapt-1.17.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f2a28eb35cf99d5f5bd12f5dd44a0f41d206db226535b37b0c60e9da162c3ed", size = 83730 }, - { url = "https://files.pythonhosted.org/packages/29/ef/fcdb776b12df5ea7180d065b28fa6bb27ac785dddcd7202a0b6962bbdb47/wrapt-1.17.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:81b1289e99cf4bad07c23393ab447e5e96db0ab50974a280f7954b071d41b489", size = 75470 }, - { url = "https://files.pythonhosted.org/packages/55/b5/698bd0bf9fbb3ddb3a2feefbb7ad0dea1205f5d7d05b9cbab54f5db731aa/wrapt-1.17.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f2939cd4a2a52ca32bc0b359015718472d7f6de870760342e7ba295be9ebaf9", size = 83168 }, - { url = "https://files.pythonhosted.org/packages/ce/07/701a5cee28cb4d5df030d4b2649319e36f3d9fdd8000ef1d84eb06b9860d/wrapt-1.17.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6a9653131bda68a1f029c52157fd81e11f07d485df55410401f745007bd6d339", size = 82307 }, - { url = "https://files.pythonhosted.org/packages/42/92/c48ba92cda6f74cb914dc3c5bba9650dc80b790e121c4b987f3a46b028f5/wrapt-1.17.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:4e4b4385363de9052dac1a67bfb535c376f3d19c238b5f36bddc95efae15e12d", size = 75101 }, - { url = "https://files.pythonhosted.org/packages/8a/0a/9276d3269334138b88a2947efaaf6335f61d547698e50dff672ade24f2c6/wrapt-1.17.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bdf62d25234290db1837875d4dceb2151e4ea7f9fff2ed41c0fde23ed542eb5b", size = 81835 }, - { url = "https://files.pythonhosted.org/packages/b9/4c/39595e692753ef656ea94b51382cc9aea662fef59d7910128f5906486f0e/wrapt-1.17.0-cp311-cp311-win32.whl", hash = "sha256:5d8fd17635b262448ab8f99230fe4dac991af1dabdbb92f7a70a6afac8a7e346", size = 36412 }, - { url = "https://files.pythonhosted.org/packages/63/bb/c293a67fb765a2ada48f48cd0f2bb957da8161439da4c03ea123b9894c02/wrapt-1.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:92a3d214d5e53cb1db8b015f30d544bc9d3f7179a05feb8f16df713cecc2620a", size = 38744 }, - { url = "https://files.pythonhosted.org/packages/85/82/518605474beafff11f1a34759f6410ab429abff9f7881858a447e0d20712/wrapt-1.17.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:89fc28495896097622c3fc238915c79365dd0ede02f9a82ce436b13bd0ab7569", size = 38904 }, - { url = "https://files.pythonhosted.org/packages/80/6c/17c3b2fed28edfd96d8417c865ef0b4c955dc52c4e375d86f459f14340f1/wrapt-1.17.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:875d240fdbdbe9e11f9831901fb8719da0bd4e6131f83aa9f69b96d18fae7504", size = 88622 }, - { url = "https://files.pythonhosted.org/packages/4a/11/60ecdf3b0fd3dca18978d89acb5d095a05f23299216e925fcd2717c81d93/wrapt-1.17.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5ed16d95fd142e9c72b6c10b06514ad30e846a0d0917ab406186541fe68b451", size = 80920 }, - { url = "https://files.pythonhosted.org/packages/d2/50/dbef1a651578a3520d4534c1e434989e3620380c1ad97e309576b47f0ada/wrapt-1.17.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18b956061b8db634120b58f668592a772e87e2e78bc1f6a906cfcaa0cc7991c1", size = 89170 }, - { url = "https://files.pythonhosted.org/packages/44/a2/78c5956bf39955288c9e0dd62e807b308c3aa15a0f611fbff52aa8d6b5ea/wrapt-1.17.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:daba396199399ccabafbfc509037ac635a6bc18510ad1add8fd16d4739cdd106", size = 86748 }, - { url = "https://files.pythonhosted.org/packages/99/49/2ee413c78fc0bdfebe5bee590bf3becdc1fab0096a7a9c3b5c9666b2415f/wrapt-1.17.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4d63f4d446e10ad19ed01188d6c1e1bb134cde8c18b0aa2acfd973d41fcc5ada", size = 79734 }, - { url = "https://files.pythonhosted.org/packages/c0/8c/4221b7b270e36be90f0930fe15a4755a6ea24093f90b510166e9ed7861ea/wrapt-1.17.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8a5e7cc39a45fc430af1aefc4d77ee6bad72c5bcdb1322cfde852c15192b8bd4", size = 87552 }, - { url = "https://files.pythonhosted.org/packages/4c/6b/1aaccf3efe58eb95e10ce8e77c8909b7a6b0da93449a92c4e6d6d10b3a3d/wrapt-1.17.0-cp312-cp312-win32.whl", hash = "sha256:0a0a1a1ec28b641f2a3a2c35cbe86c00051c04fffcfcc577ffcdd707df3f8635", size = 36647 }, - { url = "https://files.pythonhosted.org/packages/b3/4f/243f88ac49df005b9129194c6511b3642818b3e6271ddea47a15e2ee4934/wrapt-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:3c34f6896a01b84bab196f7119770fd8466c8ae3dfa73c59c0bb281e7b588ce7", size = 38830 }, - { url = "https://files.pythonhosted.org/packages/67/9c/38294e1bb92b055222d1b8b6591604ca4468b77b1250f59c15256437644f/wrapt-1.17.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:714c12485aa52efbc0fc0ade1e9ab3a70343db82627f90f2ecbc898fdf0bb181", size = 38904 }, - { url = "https://files.pythonhosted.org/packages/78/b6/76597fb362cbf8913a481d41b14b049a8813cd402a5d2f84e57957c813ae/wrapt-1.17.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da427d311782324a376cacb47c1a4adc43f99fd9d996ffc1b3e8529c4074d393", size = 88608 }, - { url = "https://files.pythonhosted.org/packages/bc/69/b500884e45b3881926b5f69188dc542fb5880019d15c8a0df1ab1dfda1f7/wrapt-1.17.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba1739fb38441a27a676f4de4123d3e858e494fac05868b7a281c0a383c098f4", size = 80879 }, - { url = "https://files.pythonhosted.org/packages/52/31/f4cc58afe29eab8a50ac5969963010c8b60987e719c478a5024bce39bc42/wrapt-1.17.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e711fc1acc7468463bc084d1b68561e40d1eaa135d8c509a65dd534403d83d7b", size = 89119 }, - { url = "https://files.pythonhosted.org/packages/aa/9c/05ab6bf75dbae7a9d34975fb6ee577e086c1c26cde3b6cf6051726d33c7c/wrapt-1.17.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:140ea00c87fafc42739bd74a94a5a9003f8e72c27c47cd4f61d8e05e6dec8721", size = 86778 }, - { url = "https://files.pythonhosted.org/packages/0e/6c/4b8d42e3db355603d35fe5c9db79c28f2472a6fd1ccf4dc25ae46739672a/wrapt-1.17.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:73a96fd11d2b2e77d623a7f26e004cc31f131a365add1ce1ce9a19e55a1eef90", size = 79793 }, - { url = "https://files.pythonhosted.org/packages/69/23/90e3a2ee210c0843b2c2a49b3b97ffcf9cad1387cb18cbeef9218631ed5a/wrapt-1.17.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:0b48554952f0f387984da81ccfa73b62e52817a4386d070c75e4db7d43a28c4a", size = 87606 }, - { url = "https://files.pythonhosted.org/packages/5f/06/3683126491ca787d8d71d8d340e775d40767c5efedb35039d987203393b7/wrapt-1.17.0-cp313-cp313-win32.whl", hash = "sha256:498fec8da10e3e62edd1e7368f4b24aa362ac0ad931e678332d1b209aec93045", size = 36651 }, - { url = "https://files.pythonhosted.org/packages/f1/bc/3bf6d2ca0d2c030d324ef9272bea0a8fdaff68f3d1fa7be7a61da88e51f7/wrapt-1.17.0-cp313-cp313-win_amd64.whl", hash = "sha256:fd136bb85f4568fffca995bd3c8d52080b1e5b225dbf1c2b17b66b4c5fa02838", size = 38835 }, - { url = "https://files.pythonhosted.org/packages/ce/b5/251165c232d87197a81cd362eeb5104d661a2dd3aa1f0b33e4bf61dda8b8/wrapt-1.17.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:17fcf043d0b4724858f25b8826c36e08f9fb2e475410bece0ec44a22d533da9b", size = 40146 }, - { url = "https://files.pythonhosted.org/packages/89/33/1e1bdd3e866eeb73d8c4755db1ceb8a80d5bd51ee4648b3f2247adec4e67/wrapt-1.17.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4a557d97f12813dc5e18dad9fa765ae44ddd56a672bb5de4825527c847d6379", size = 113444 }, - { url = "https://files.pythonhosted.org/packages/9f/7c/94f53b065a43f5dc1fbdd8b80fd8f41284315b543805c956619c0b8d92f0/wrapt-1.17.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0229b247b0fc7dee0d36176cbb79dbaf2a9eb7ecc50ec3121f40ef443155fb1d", size = 101246 }, - { url = "https://files.pythonhosted.org/packages/62/5d/640360baac6ea6018ed5e34e6e80e33cfbae2aefde24f117587cd5efd4b7/wrapt-1.17.0-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8425cfce27b8b20c9b89d77fb50e368d8306a90bf2b6eef2cdf5cd5083adf83f", size = 109320 }, - { url = "https://files.pythonhosted.org/packages/e3/cf/6c7a00ae86a2e9482c91170aefe93f4ccda06c1ac86c4de637c69133da59/wrapt-1.17.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9c900108df470060174108012de06d45f514aa4ec21a191e7ab42988ff42a86c", size = 110193 }, - { url = "https://files.pythonhosted.org/packages/cd/cc/aa718df0d20287e8f953ce0e2f70c0af0fba1d3c367db7ee8bdc46ea7003/wrapt-1.17.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:4e547b447073fc0dbfcbff15154c1be8823d10dab4ad401bdb1575e3fdedff1b", size = 100460 }, - { url = "https://files.pythonhosted.org/packages/f7/16/9f3ac99fe1f6caaa789d67b4e3c562898b532c250769f5255fa8b8b93983/wrapt-1.17.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:914f66f3b6fc7b915d46c1cc424bc2441841083de01b90f9e81109c9759e43ab", size = 106347 }, - { url = "https://files.pythonhosted.org/packages/64/85/c77a331b2c06af49a687f8b926fc2d111047a51e6f0b0a4baa01ff3a673a/wrapt-1.17.0-cp313-cp313t-win32.whl", hash = "sha256:a4192b45dff127c7d69b3bdfb4d3e47b64179a0b9900b6351859f3001397dabf", size = 37971 }, - { url = "https://files.pythonhosted.org/packages/05/9b/b2469f8be9efed24283fd7b9eeb8e913e9bc0715cf919ea8645e428ab7af/wrapt-1.17.0-cp313-cp313t-win_amd64.whl", hash = "sha256:4f643df3d4419ea3f856c5c3f40fec1d65ea2e89ec812c83f7767c8730f9827a", size = 40755 }, - { url = "https://files.pythonhosted.org/packages/4b/d9/a8ba5e9507a9af1917285d118388c5eb7a81834873f45df213a6fe923774/wrapt-1.17.0-py3-none-any.whl", hash = "sha256:d2c63b93548eda58abf5188e505ffed0229bf675f7c3090f8e36ad55b8cbc371", size = 23592 }, -] - -[[package]] -name = "xlrd" -version = "2.0.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a6/b3/19a2540d21dea5f908304375bd43f5ed7a4c28a370dc9122c565423e6b44/xlrd-2.0.1.tar.gz", hash = "sha256:f72f148f54442c6b056bf931dbc34f986fd0c3b0b6b5a58d013c9aef274d0c88", size = 100259 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a6/0c/c2a72d51fe56e08a08acc85d13013558a2d793028ae7385448a6ccdfae64/xlrd-2.0.1-py2.py3-none-any.whl", hash = "sha256:6a33ee89877bd9abc1158129f6e94be74e2679636b8a205b43b85206c3f0bbdd", size = 96531 }, -] - -[[package]] -name = "xlsxwriter" -version = "3.2.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a6/c3/b36fa44a0610a0f65d2e65ba6a262cbe2554b819f1449731971f7c16ea3c/XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c", size = 198732 } -wheels = [ - { url = "https://files.pythonhosted.org/packages/a7/ea/53d1fe468e63e092cf16e2c18d16f50c29851242f9dd12d6a66e0d7f0d02/XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e", size = 159925 }, + { url = "https://files.pythonhosted.org/packages/5a/d1/1daec934997e8b160040c78d7b31789f19b122110a75eca3d4e8da0049e1/wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984", size = 53307 }, + { url = "https://files.pythonhosted.org/packages/1b/7b/13369d42651b809389c1a7153baa01d9700430576c81a2f5c5e460df0ed9/wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22", size = 38486 }, + { url = "https://files.pythonhosted.org/packages/62/bf/e0105016f907c30b4bd9e377867c48c34dc9c6c0c104556c9c9126bd89ed/wrapt-1.17.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:80dd7db6a7cb57ffbc279c4394246414ec99537ae81ffd702443335a61dbf3a7", size = 38777 }, + { url = "https://files.pythonhosted.org/packages/27/70/0f6e0679845cbf8b165e027d43402a55494779295c4b08414097b258ac87/wrapt-1.17.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a6e821770cf99cc586d33833b2ff32faebdbe886bd6322395606cf55153246c", size = 83314 }, + { url = "https://files.pythonhosted.org/packages/0f/77/0576d841bf84af8579124a93d216f55d6f74374e4445264cb378a6ed33eb/wrapt-1.17.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b60fb58b90c6d63779cb0c0c54eeb38941bae3ecf7a73c764c52c88c2dcb9d72", size = 74947 }, + { url = "https://files.pythonhosted.org/packages/90/ec/00759565518f268ed707dcc40f7eeec38637d46b098a1f5143bff488fe97/wrapt-1.17.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b870b5df5b71d8c3359d21be8f0d6c485fa0ebdb6477dda51a1ea54a9b558061", size = 82778 }, + { url = "https://files.pythonhosted.org/packages/f8/5a/7cffd26b1c607b0b0c8a9ca9d75757ad7620c9c0a9b4a25d3f8a1480fafc/wrapt-1.17.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4011d137b9955791f9084749cba9a367c68d50ab8d11d64c50ba1688c9b457f2", size = 81716 }, + { url = "https://files.pythonhosted.org/packages/7e/09/dccf68fa98e862df7e6a60a61d43d644b7d095a5fc36dbb591bbd4a1c7b2/wrapt-1.17.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:1473400e5b2733e58b396a04eb7f35f541e1fb976d0c0724d0223dd607e0f74c", size = 74548 }, + { url = "https://files.pythonhosted.org/packages/b7/8e/067021fa3c8814952c5e228d916963c1115b983e21393289de15128e867e/wrapt-1.17.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3cedbfa9c940fdad3e6e941db7138e26ce8aad38ab5fe9dcfadfed9db7a54e62", size = 81334 }, + { url = "https://files.pythonhosted.org/packages/4b/0d/9d4b5219ae4393f718699ca1c05f5ebc0c40d076f7e65fd48f5f693294fb/wrapt-1.17.2-cp310-cp310-win32.whl", hash = "sha256:582530701bff1dec6779efa00c516496968edd851fba224fbd86e46cc6b73563", size = 36427 }, + { url = "https://files.pythonhosted.org/packages/72/6a/c5a83e8f61aec1e1aeef939807602fb880e5872371e95df2137142f5c58e/wrapt-1.17.2-cp310-cp310-win_amd64.whl", hash = "sha256:58705da316756681ad3c9c73fd15499aa4d8c69f9fd38dc8a35e06c12468582f", size = 38774 }, + { url = "https://files.pythonhosted.org/packages/cd/f7/a2aab2cbc7a665efab072344a8949a71081eed1d2f451f7f7d2b966594a2/wrapt-1.17.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ff04ef6eec3eee8a5efef2401495967a916feaa353643defcc03fc74fe213b58", size = 53308 }, + { url = "https://files.pythonhosted.org/packages/50/ff/149aba8365fdacef52b31a258c4dc1c57c79759c335eff0b3316a2664a64/wrapt-1.17.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4db983e7bca53819efdbd64590ee96c9213894272c776966ca6306b73e4affda", size = 38488 }, + { url = "https://files.pythonhosted.org/packages/65/46/5a917ce85b5c3b490d35c02bf71aedaa9f2f63f2d15d9949cc4ba56e8ba9/wrapt-1.17.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9abc77a4ce4c6f2a3168ff34b1da9b0f311a8f1cfd694ec96b0603dff1c79438", size = 38776 }, + { url = "https://files.pythonhosted.org/packages/ca/74/336c918d2915a4943501c77566db41d1bd6e9f4dbc317f356b9a244dfe83/wrapt-1.17.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b929ac182f5ace000d459c59c2c9c33047e20e935f8e39371fa6e3b85d56f4a", size = 83776 }, + { url = "https://files.pythonhosted.org/packages/09/99/c0c844a5ccde0fe5761d4305485297f91d67cf2a1a824c5f282e661ec7ff/wrapt-1.17.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f09b286faeff3c750a879d336fb6d8713206fc97af3adc14def0cdd349df6000", size = 75420 }, + { url = "https://files.pythonhosted.org/packages/b4/b0/9fc566b0fe08b282c850063591a756057c3247b2362b9286429ec5bf1721/wrapt-1.17.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a7ed2d9d039bd41e889f6fb9364554052ca21ce823580f6a07c4ec245c1f5d6", size = 83199 }, + { url = "https://files.pythonhosted.org/packages/9d/4b/71996e62d543b0a0bd95dda485219856def3347e3e9380cc0d6cf10cfb2f/wrapt-1.17.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:129a150f5c445165ff941fc02ee27df65940fcb8a22a61828b1853c98763a64b", size = 82307 }, + { url = "https://files.pythonhosted.org/packages/39/35/0282c0d8789c0dc9bcc738911776c762a701f95cfe113fb8f0b40e45c2b9/wrapt-1.17.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1fb5699e4464afe5c7e65fa51d4f99e0b2eadcc176e4aa33600a3df7801d6662", size = 75025 }, + { url = "https://files.pythonhosted.org/packages/4f/6d/90c9fd2c3c6fee181feecb620d95105370198b6b98a0770cba090441a828/wrapt-1.17.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9a2bce789a5ea90e51a02dfcc39e31b7f1e662bc3317979aa7e5538e3a034f72", size = 81879 }, + { url = "https://files.pythonhosted.org/packages/8f/fa/9fb6e594f2ce03ef03eddbdb5f4f90acb1452221a5351116c7c4708ac865/wrapt-1.17.2-cp311-cp311-win32.whl", hash = "sha256:4afd5814270fdf6380616b321fd31435a462019d834f83c8611a0ce7484c7317", size = 36419 }, + { url = "https://files.pythonhosted.org/packages/47/f8/fb1773491a253cbc123c5d5dc15c86041f746ed30416535f2a8df1f4a392/wrapt-1.17.2-cp311-cp311-win_amd64.whl", hash = "sha256:acc130bc0375999da18e3d19e5a86403667ac0c4042a094fefb7eec8ebac7cf3", size = 38773 }, + { url = "https://files.pythonhosted.org/packages/a1/bd/ab55f849fd1f9a58ed7ea47f5559ff09741b25f00c191231f9f059c83949/wrapt-1.17.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:d5e2439eecc762cd85e7bd37161d4714aa03a33c5ba884e26c81559817ca0925", size = 53799 }, + { url = "https://files.pythonhosted.org/packages/53/18/75ddc64c3f63988f5a1d7e10fb204ffe5762bc663f8023f18ecaf31a332e/wrapt-1.17.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3fc7cb4c1c744f8c05cd5f9438a3caa6ab94ce8344e952d7c45a8ed59dd88392", size = 38821 }, + { url = "https://files.pythonhosted.org/packages/48/2a/97928387d6ed1c1ebbfd4efc4133a0633546bec8481a2dd5ec961313a1c7/wrapt-1.17.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8fdbdb757d5390f7c675e558fd3186d590973244fab0c5fe63d373ade3e99d40", size = 38919 }, + { url = "https://files.pythonhosted.org/packages/73/54/3bfe5a1febbbccb7a2f77de47b989c0b85ed3a6a41614b104204a788c20e/wrapt-1.17.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bb1d0dbf99411f3d871deb6faa9aabb9d4e744d67dcaaa05399af89d847a91d", size = 88721 }, + { url = "https://files.pythonhosted.org/packages/25/cb/7262bc1b0300b4b64af50c2720ef958c2c1917525238d661c3e9a2b71b7b/wrapt-1.17.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d18a4865f46b8579d44e4fe1e2bcbc6472ad83d98e22a26c963d46e4c125ef0b", size = 80899 }, + { url = "https://files.pythonhosted.org/packages/2a/5a/04cde32b07a7431d4ed0553a76fdb7a61270e78c5fd5a603e190ac389f14/wrapt-1.17.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc570b5f14a79734437cb7b0500376b6b791153314986074486e0b0fa8d71d98", size = 89222 }, + { url = "https://files.pythonhosted.org/packages/09/28/2e45a4f4771fcfb109e244d5dbe54259e970362a311b67a965555ba65026/wrapt-1.17.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6d9187b01bebc3875bac9b087948a2bccefe464a7d8f627cf6e48b1bbae30f82", size = 86707 }, + { url = "https://files.pythonhosted.org/packages/c6/d2/dcb56bf5f32fcd4bd9aacc77b50a539abdd5b6536872413fd3f428b21bed/wrapt-1.17.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:9e8659775f1adf02eb1e6f109751268e493c73716ca5761f8acb695e52a756ae", size = 79685 }, + { url = "https://files.pythonhosted.org/packages/80/4e/eb8b353e36711347893f502ce91c770b0b0929f8f0bed2670a6856e667a9/wrapt-1.17.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e8b2816ebef96d83657b56306152a93909a83f23994f4b30ad4573b00bd11bb9", size = 87567 }, + { url = "https://files.pythonhosted.org/packages/17/27/4fe749a54e7fae6e7146f1c7d914d28ef599dacd4416566c055564080fe2/wrapt-1.17.2-cp312-cp312-win32.whl", hash = "sha256:468090021f391fe0056ad3e807e3d9034e0fd01adcd3bdfba977b6fdf4213ea9", size = 36672 }, + { url = "https://files.pythonhosted.org/packages/15/06/1dbf478ea45c03e78a6a8c4be4fdc3c3bddea5c8de8a93bc971415e47f0f/wrapt-1.17.2-cp312-cp312-win_amd64.whl", hash = "sha256:ec89ed91f2fa8e3f52ae53cd3cf640d6feff92ba90d62236a81e4e563ac0e991", size = 38865 }, + { url = "https://files.pythonhosted.org/packages/ce/b9/0ffd557a92f3b11d4c5d5e0c5e4ad057bd9eb8586615cdaf901409920b14/wrapt-1.17.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6ed6ffac43aecfe6d86ec5b74b06a5be33d5bb9243d055141e8cabb12aa08125", size = 53800 }, + { url = "https://files.pythonhosted.org/packages/c0/ef/8be90a0b7e73c32e550c73cfb2fa09db62234227ece47b0e80a05073b375/wrapt-1.17.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:35621ae4c00e056adb0009f8e86e28eb4a41a4bfa8f9bfa9fca7d343fe94f998", size = 38824 }, + { url = "https://files.pythonhosted.org/packages/36/89/0aae34c10fe524cce30fe5fc433210376bce94cf74d05b0d68344c8ba46e/wrapt-1.17.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a604bf7a053f8362d27eb9fefd2097f82600b856d5abe996d623babd067b1ab5", size = 38920 }, + { url = "https://files.pythonhosted.org/packages/3b/24/11c4510de906d77e0cfb5197f1b1445d4fec42c9a39ea853d482698ac681/wrapt-1.17.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5cbabee4f083b6b4cd282f5b817a867cf0b1028c54d445b7ec7cfe6505057cf8", size = 88690 }, + { url = "https://files.pythonhosted.org/packages/71/d7/cfcf842291267bf455b3e266c0c29dcb675b5540ee8b50ba1699abf3af45/wrapt-1.17.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:49703ce2ddc220df165bd2962f8e03b84c89fee2d65e1c24a7defff6f988f4d6", size = 80861 }, + { url = "https://files.pythonhosted.org/packages/d5/66/5d973e9f3e7370fd686fb47a9af3319418ed925c27d72ce16b791231576d/wrapt-1.17.2-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8112e52c5822fc4253f3901b676c55ddf288614dc7011634e2719718eaa187dc", size = 89174 }, + { url = "https://files.pythonhosted.org/packages/a7/d3/8e17bb70f6ae25dabc1aaf990f86824e4fd98ee9cadf197054e068500d27/wrapt-1.17.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9fee687dce376205d9a494e9c121e27183b2a3df18037f89d69bd7b35bcf59e2", size = 86721 }, + { url = "https://files.pythonhosted.org/packages/6f/54/f170dfb278fe1c30d0ff864513cff526d624ab8de3254b20abb9cffedc24/wrapt-1.17.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:18983c537e04d11cf027fbb60a1e8dfd5190e2b60cc27bc0808e653e7b218d1b", size = 79763 }, + { url = "https://files.pythonhosted.org/packages/4a/98/de07243751f1c4a9b15c76019250210dd3486ce098c3d80d5f729cba029c/wrapt-1.17.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:703919b1633412ab54bcf920ab388735832fdcb9f9a00ae49387f0fe67dad504", size = 87585 }, + { url = "https://files.pythonhosted.org/packages/f9/f0/13925f4bd6548013038cdeb11ee2cbd4e37c30f8bfd5db9e5a2a370d6e20/wrapt-1.17.2-cp313-cp313-win32.whl", hash = "sha256:abbb9e76177c35d4e8568e58650aa6926040d6a9f6f03435b7a522bf1c487f9a", size = 36676 }, + { url = "https://files.pythonhosted.org/packages/bf/ae/743f16ef8c2e3628df3ddfd652b7d4c555d12c84b53f3d8218498f4ade9b/wrapt-1.17.2-cp313-cp313-win_amd64.whl", hash = "sha256:69606d7bb691b50a4240ce6b22ebb319c1cfb164e5f6569835058196e0f3a845", size = 38871 }, + { url = "https://files.pythonhosted.org/packages/3d/bc/30f903f891a82d402ffb5fda27ec1d621cc97cb74c16fea0b6141f1d4e87/wrapt-1.17.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:4a721d3c943dae44f8e243b380cb645a709ba5bd35d3ad27bc2ed947e9c68192", size = 56312 }, + { url = "https://files.pythonhosted.org/packages/8a/04/c97273eb491b5f1c918857cd26f314b74fc9b29224521f5b83f872253725/wrapt-1.17.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:766d8bbefcb9e00c3ac3b000d9acc51f1b399513f44d77dfe0eb026ad7c9a19b", size = 40062 }, + { url = "https://files.pythonhosted.org/packages/4e/ca/3b7afa1eae3a9e7fefe499db9b96813f41828b9fdb016ee836c4c379dadb/wrapt-1.17.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e496a8ce2c256da1eb98bd15803a79bee00fc351f5dfb9ea82594a3f058309e0", size = 40155 }, + { url = "https://files.pythonhosted.org/packages/89/be/7c1baed43290775cb9030c774bc53c860db140397047cc49aedaf0a15477/wrapt-1.17.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d615e4fe22f4ad3528448c193b218e077656ca9ccb22ce2cb20db730f8d306", size = 113471 }, + { url = "https://files.pythonhosted.org/packages/32/98/4ed894cf012b6d6aae5f5cc974006bdeb92f0241775addad3f8cd6ab71c8/wrapt-1.17.2-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a5aaeff38654462bc4b09023918b7f21790efb807f54c000a39d41d69cf552cb", size = 101208 }, + { url = "https://files.pythonhosted.org/packages/ea/fd/0c30f2301ca94e655e5e057012e83284ce8c545df7661a78d8bfca2fac7a/wrapt-1.17.2-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a7d15bbd2bc99e92e39f49a04653062ee6085c0e18b3b7512a4f2fe91f2d681", size = 109339 }, + { url = "https://files.pythonhosted.org/packages/75/56/05d000de894c4cfcb84bcd6b1df6214297b8089a7bd324c21a4765e49b14/wrapt-1.17.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e3890b508a23299083e065f435a492b5435eba6e304a7114d2f919d400888cc6", size = 110232 }, + { url = "https://files.pythonhosted.org/packages/53/f8/c3f6b2cf9b9277fb0813418e1503e68414cd036b3b099c823379c9575e6d/wrapt-1.17.2-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:8c8b293cd65ad716d13d8dd3624e42e5a19cc2a2f1acc74b30c2c13f15cb61a6", size = 100476 }, + { url = "https://files.pythonhosted.org/packages/a7/b1/0bb11e29aa5139d90b770ebbfa167267b1fc548d2302c30c8f7572851738/wrapt-1.17.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c82b8785d98cdd9fed4cac84d765d234ed3251bd6afe34cb7ac523cb93e8b4f", size = 106377 }, + { url = "https://files.pythonhosted.org/packages/6a/e1/0122853035b40b3f333bbb25f1939fc1045e21dd518f7f0922b60c156f7c/wrapt-1.17.2-cp313-cp313t-win32.whl", hash = "sha256:13e6afb7fe71fe7485a4550a8844cc9ffbe263c0f1a1eea569bc7091d4898555", size = 37986 }, + { url = "https://files.pythonhosted.org/packages/09/5e/1655cf481e079c1f22d0cabdd4e51733679932718dc23bf2db175f329b76/wrapt-1.17.2-cp313-cp313t-win_amd64.whl", hash = "sha256:eaf675418ed6b3b31c7a989fd007fa7c3be66ce14e5c3b27336383604c9da85c", size = 40750 }, + { url = "https://files.pythonhosted.org/packages/2d/82/f56956041adef78f849db6b289b282e72b55ab8045a75abad81898c28d19/wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8", size = 23594 }, ] [[package]] @@ -5447,11 +3601,11 @@ wheels = [ [[package]] name = "xyzservices" -version = "2024.9.0" +version = "2025.1.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/a0/16/ae87cbd2d6bfc40a419077521c35aadf5121725b7bee3d7c51b56f50958b/xyzservices-2024.9.0.tar.gz", hash = "sha256:68fb8353c9dbba4f1ff6c0f2e5e4e596bb9e1db7f94f4f7dfbcb26e25aa66fde", size = 1131900 } +sdist = { url = "https://files.pythonhosted.org/packages/47/11/3ae1c07b3446b643bec33822efeb0452e885a294172c4fe9551968211749/xyzservices-2025.1.0.tar.gz", hash = "sha256:5cdbb0907c20be1be066c6e2dc69c645842d1113a4e83e642065604a21f254ba", size = 1133574 } wheels = [ - { url = "https://files.pythonhosted.org/packages/4c/d3/e07ce413d16ef64e885bea37551eac4c5ca3ddd440933f9c94594273d0d9/xyzservices-2024.9.0-py3-none-any.whl", hash = "sha256:776ae82b78d6e5ca63dd6a94abb054df8130887a4a308473b54a6bd364de8644", size = 85130 }, + { url = "https://files.pythonhosted.org/packages/9a/6e/49408735dae940a0c1c225c6b908fd83bd6e3f5fae120f865754e72f78cb/xyzservices-2025.1.0-py3-none-any.whl", hash = "sha256:fa599956c5ab32dad1689960b3bb08fdcdbe0252cc82d84fc60ae415dc648907", size = 88368 }, ] [[package]] diff --git a/cognee/__init__.py b/cognee/__init__.py index 4ffd39577..241dd1ad6 100644 --- a/cognee/__init__.py +++ b/cognee/__init__.py @@ -4,7 +4,7 @@ from .api.v1.config.config import config from .api.v1.datasets.datasets import datasets from .api.v1.prune import prune from .api.v1.search import SearchType, get_search_history, search -from .api.v1.visualize import visualize +from .api.v1.visualize import visualize_graph from .shared.utils import create_cognee_style_network_with_logo # Pipelines diff --git a/cognee/api/client.py b/cognee/api/client.py index 227ada304..dcdf4720c 100644 --- a/cognee/api/client.py +++ b/cognee/api/client.py @@ -10,7 +10,7 @@ from fastapi.middleware.cors import CORSMiddleware from cognee.api.v1.permissions.routers import get_permissions_router from cognee.api.v1.settings.routers import get_settings_router from cognee.api.v1.datasets.routers import get_datasets_router -from cognee.api.v1.cognify.routers import get_cognify_router +from cognee.api.v1.cognify.routers import get_code_pipeline_router, get_cognify_router from cognee.api.v1.search.routers import get_search_router from cognee.api.v1.add.routers import get_add_router from fastapi import Request @@ -169,6 +169,10 @@ app.include_router(get_settings_router(), prefix="/api/v1/settings", tags=["sett app.include_router(get_visualize_router(), prefix="/api/v1/visualize", tags=["visualize"]) +app.include_router( + get_code_pipeline_router(), prefix="/api/v1/code-pipeline", tags=["code-pipeline"] +) + def start_api_server(host: str = "0.0.0.0", port: int = 8000): """ diff --git a/cognee/api/v1/add/add_v2.py b/cognee/api/v1/add/add_v2.py index 1ec30e67b..dbdb93a59 100644 --- a/cognee/api/v1/add/add_v2.py +++ b/cognee/api/v1/add/add_v2.py @@ -2,7 +2,7 @@ from typing import Union, BinaryIO from cognee.modules.users.models import User from cognee.modules.users.methods import get_default_user from cognee.modules.pipelines import run_tasks, Task -from cognee.tasks.ingestion import ingest_data_with_metadata, resolve_data_directories +from cognee.tasks.ingestion import ingest_data, resolve_data_directories from cognee.infrastructure.databases.relational import ( create_db_and_tables as create_relational_db_and_tables, ) @@ -22,7 +22,7 @@ async def add( if user is None: user = await get_default_user() - tasks = [Task(resolve_data_directories), Task(ingest_data_with_metadata, dataset_name, user)] + tasks = [Task(resolve_data_directories), Task(ingest_data, dataset_name, user)] pipeline = run_tasks(tasks, data, "add_pipeline") diff --git a/cognee/api/v1/cognify/code_graph_pipeline.py b/cognee/api/v1/cognify/code_graph_pipeline.py index 2d077f39b..c73e90c19 100644 --- a/cognee/api/v1/cognify/code_graph_pipeline.py +++ b/cognee/api/v1/cognify/code_graph_pipeline.py @@ -1,6 +1,5 @@ import asyncio import logging -from pathlib import Path from cognee.base_config import get_base_config from cognee.modules.cognify.config import get_cognify_config @@ -10,7 +9,7 @@ from cognee.modules.users.methods import get_default_user from cognee.shared.data_models import KnowledgeGraph, MonitoringTool from cognee.tasks.documents import classify_documents, extract_chunks_from_documents from cognee.tasks.graph import extract_graph_from_data -from cognee.tasks.ingestion import ingest_data_with_metadata +from cognee.tasks.ingestion import ingest_data from cognee.tasks.repo_processor import ( enrich_dependency_graph, expand_dependency_graph, @@ -21,6 +20,7 @@ from cognee.tasks.repo_processor import ( from cognee.tasks.repo_processor.get_source_code_chunks import get_source_code_chunks from cognee.tasks.storage import add_data_points from cognee.tasks.summarization import summarize_code, summarize_text +from cognee.infrastructure.llm import get_max_chunk_tokens monitoring = get_base_config().monitoring_tool if monitoring == MonitoringTool.LANGFUSE: @@ -33,22 +33,9 @@ update_status_lock = asyncio.Lock() @observe async def run_code_graph_pipeline(repo_path, include_docs=True): - import os - import pathlib - import cognee from cognee.infrastructure.databases.relational import create_db_and_tables - file_path = Path(__file__).parent - data_directory_path = str( - pathlib.Path(os.path.join(file_path, ".data_storage/code_graph")).resolve() - ) - cognee.config.data_root_directory(data_directory_path) - cognee_directory_path = str( - pathlib.Path(os.path.join(file_path, ".cognee_system/code_graph")).resolve() - ) - cognee.config.system_root_directory(cognee_directory_path) - await cognee.prune.prune_data() await cognee.prune.prune_system(metadata=True) await create_db_and_tables() @@ -68,10 +55,10 @@ async def run_code_graph_pipeline(repo_path, include_docs=True): if include_docs: non_code_tasks = [ Task(get_non_py_files, task_config={"batch_size": 50}), - Task(ingest_data_with_metadata, dataset_name="repo_docs", user=user), + Task(ingest_data, dataset_name="repo_docs", user=user), Task(get_data_list_for_user, dataset_name="repo_docs", user=user), Task(classify_documents), - Task(extract_chunks_from_documents, max_tokens=cognee_config.max_tokens), + Task(extract_chunks_from_documents, max_chunk_tokens=get_max_chunk_tokens()), Task( extract_graph_from_data, graph_model=KnowledgeGraph, task_config={"batch_size": 50} ), diff --git a/cognee/api/v1/cognify/cognify_v2.py b/cognee/api/v1/cognify/cognify_v2.py index 680c05828..978205d2f 100644 --- a/cognee/api/v1/cognify/cognify_v2.py +++ b/cognee/api/v1/cognify/cognify_v2.py @@ -4,6 +4,7 @@ from typing import Union from pydantic import BaseModel +from cognee.infrastructure.llm import get_max_chunk_tokens from cognee.modules.cognify.config import get_cognify_config from cognee.modules.data.methods import get_datasets, get_datasets_by_name from cognee.modules.data.methods.get_dataset_data import get_dataset_data @@ -24,6 +25,7 @@ from cognee.tasks.documents import ( ) from cognee.tasks.graph import extract_graph_from_data from cognee.tasks.storage import add_data_points +from cognee.tasks.storage.descriptive_metrics import store_descriptive_metrics from cognee.tasks.storage.index_graph_edges import index_graph_edges from cognee.tasks.summarization import summarize_text @@ -36,6 +38,7 @@ async def cognify( datasets: Union[str, list[str]] = None, user: User = None, graph_model: BaseModel = KnowledgeGraph, + tasks: list[Task] = None, ): if user is None: user = await get_default_user() @@ -55,18 +58,19 @@ async def cognify( awaitables = [] + if tasks is None: + tasks = await get_default_tasks(user, graph_model) + for dataset in datasets: dataset_name = generate_dataset_name(dataset.name) if dataset_name in existing_datasets_map: - awaitables.append(run_cognify_pipeline(dataset, user, graph_model)) + awaitables.append(run_cognify_pipeline(dataset, user, tasks)) return await asyncio.gather(*awaitables) -async def run_cognify_pipeline( - dataset: Dataset, user: User, graph_model: BaseModel = KnowledgeGraph -): +async def run_cognify_pipeline(dataset: Dataset, user: User, tasks: list[Task]): data_documents: list[Data] = await get_dataset_data(dataset_id=dataset.id) document_ids_str = [str(document.id) for document in data_documents] @@ -96,22 +100,12 @@ async def run_cognify_pipeline( ) try: - cognee_config = get_cognify_config() + if not isinstance(tasks, list): + raise ValueError("Tasks must be a list") - tasks = [ - Task(classify_documents), - Task(check_permissions_on_documents, user=user, permissions=["write"]), - Task(extract_chunks_from_documents), # Extract text chunks based on the document type. - Task( - extract_graph_from_data, graph_model=graph_model, task_config={"batch_size": 10} - ), # Generate knowledge graphs from the document chunks. - Task( - summarize_text, - summarization_model=cognee_config.summarization_model, - task_config={"batch_size": 10}, - ), - Task(add_data_points, only_root=True, task_config={"batch_size": 10}), - ] + for task in tasks: + if not isinstance(task, Task): + raise ValueError(f"Task {task} is not an instance of Task") pipeline = run_tasks(tasks, data_documents, "cognify_pipeline") @@ -146,3 +140,34 @@ async def run_cognify_pipeline( def generate_dataset_name(dataset_name: str) -> str: return dataset_name.replace(".", "_").replace(" ", "_") + + +async def get_default_tasks( + user: User = None, graph_model: BaseModel = KnowledgeGraph +) -> list[Task]: + if user is None: + user = await get_default_user() + + try: + cognee_config = get_cognify_config() + default_tasks = [ + Task(classify_documents), + Task(check_permissions_on_documents, user=user, permissions=["write"]), + Task( + extract_chunks_from_documents, max_chunk_tokens=get_max_chunk_tokens() + ), # Extract text chunks based on the document type. + Task( + extract_graph_from_data, graph_model=graph_model, task_config={"batch_size": 10} + ), # Generate knowledge graphs from the document chunks. + Task( + summarize_text, + summarization_model=cognee_config.summarization_model, + task_config={"batch_size": 10}, + ), + Task(add_data_points, task_config={"batch_size": 10}), + Task(store_descriptive_metrics), + ] + except Exception as error: + send_telemetry("cognee.cognify DEFAULT TASKS CREATION ERRORED", user.id) + raise error + return default_tasks diff --git a/cognee/api/v1/cognify/routers/__init__.py b/cognee/api/v1/cognify/routers/__init__.py index 6e5f9cc9d..a6da4a179 100644 --- a/cognee/api/v1/cognify/routers/__init__.py +++ b/cognee/api/v1/cognify/routers/__init__.py @@ -1 +1,2 @@ from .get_cognify_router import get_cognify_router +from .get_code_pipeline_router import get_code_pipeline_router diff --git a/cognee/api/v1/cognify/routers/get_code_pipeline_router.py b/cognee/api/v1/cognify/routers/get_code_pipeline_router.py new file mode 100644 index 000000000..c4d436ce1 --- /dev/null +++ b/cognee/api/v1/cognify/routers/get_code_pipeline_router.py @@ -0,0 +1,57 @@ +from fastapi import APIRouter +from pydantic import BaseModel +from cognee.api.v1.cognify.code_graph_pipeline import run_code_graph_pipeline +from cognee.modules.retrieval.description_to_codepart_search import ( + code_description_to_code_part_search, +) +from fastapi.responses import JSONResponse + + +class CodePipelineIndexPayloadDTO(BaseModel): + repo_path: str + include_docs: bool = False + + +class CodePipelineRetrievePayloadDTO(BaseModel): + query: str + fullInput: str + + +def get_code_pipeline_router() -> APIRouter: + router = APIRouter() + + @router.post("/index", response_model=None) + async def code_pipeline_index(payload: CodePipelineIndexPayloadDTO): + """This endpoint is responsible for running the indexation on code repo.""" + try: + async for result in run_code_graph_pipeline(payload.repo_path, payload.include_docs): + print(result) + except Exception as error: + return JSONResponse(status_code=409, content={"error": str(error)}) + + @router.post("/retrieve", response_model=list[dict]) + async def code_pipeline_retrieve(payload: CodePipelineRetrievePayloadDTO): + """This endpoint is responsible for retrieving the context.""" + try: + query = ( + payload.fullInput.replace("cognee ", "") + if payload.fullInput.startswith("cognee ") + else payload.fullInput + ) + + retrieved_codeparts, __ = await code_description_to_code_part_search( + query, include_docs=False + ) + + return [ + { + "name": codepart.attributes["id"], + "description": codepart.attributes["id"], + "content": codepart.attributes["source_code"], + } + for codepart in retrieved_codeparts + ] + except Exception as error: + return JSONResponse(status_code=409, content={"error": str(error)}) + + return router diff --git a/cognee/api/v1/settings/routers/get_settings_router.py b/cognee/api/v1/settings/routers/get_settings_router.py index 138bea661..e2842e3cd 100644 --- a/cognee/api/v1/settings/routers/get_settings_router.py +++ b/cognee/api/v1/settings/routers/get_settings_router.py @@ -21,7 +21,7 @@ class SettingsDTO(OutDTO): class LLMConfigInputDTO(InDTO): - provider: Union[Literal["openai"], Literal["ollama"], Literal["anthropic"]] + provider: Union[Literal["openai"], Literal["ollama"], Literal["anthropic"], Literal["gemini"]] model: str api_key: str diff --git a/cognee/api/v1/visualize/visualize.py b/cognee/api/v1/visualize/visualize.py index 3267f9d3d..4c4c613c8 100644 --- a/cognee/api/v1/visualize/visualize.py +++ b/cognee/api/v1/visualize/visualize.py @@ -10,5 +10,6 @@ async def visualize_graph(label: str = "name"): logging.info(graph_data) graph = await create_cognee_style_network_with_logo(graph_data, label=label) + logging.info("The HTML file has been stored on your home directory! Navigate there with cd ~") return graph diff --git a/cognee/infrastructure/databases/exceptions/EmbeddingException.py b/cognee/infrastructure/databases/exceptions/EmbeddingException.py index 130282857..df3ba93c0 100644 --- a/cognee/infrastructure/databases/exceptions/EmbeddingException.py +++ b/cognee/infrastructure/databases/exceptions/EmbeddingException.py @@ -1,4 +1,14 @@ -class EmbeddingException(Exception): +from cognee.exceptions import CogneeApiError +from fastapi import status + + +class EmbeddingException(CogneeApiError): """Custom exception for handling embedding-related errors.""" - pass + def __init__( + self, + message: str = "Embedding Exception.", + name: str = "EmbeddingException", + status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, + ): + super().__init__(message, name, status_code) diff --git a/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py b/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py index 3543418fc..a5c1f3eb3 100644 --- a/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py +++ b/cognee/infrastructure/databases/graph/neo4j_driver/adapter.py @@ -62,10 +62,12 @@ class Neo4jAdapter(GraphDBInterface): async def add_node(self, node: DataPoint): serialized_properties = self.serialize_properties(node.model_dump()) - query = dedent("""MERGE (node {id: $node_id}) + query = dedent( + """MERGE (node {id: $node_id}) ON CREATE SET node += $properties, node.updated_at = timestamp() ON MATCH SET node += $properties, node.updated_at = timestamp() - RETURN ID(node) AS internal_id, node.id AS nodeId""") + RETURN ID(node) AS internal_id, node.id AS nodeId""" + ) params = { "node_id": str(node.id), @@ -182,13 +184,15 @@ class Neo4jAdapter(GraphDBInterface): ): serialized_properties = self.serialize_properties(edge_properties) - query = dedent("""MATCH (from_node {id: $from_node}), + query = dedent( + """MATCH (from_node {id: $from_node}), (to_node {id: $to_node}) MERGE (from_node)-[r]->(to_node) ON CREATE SET r += $properties, r.updated_at = timestamp(), r.type = $relationship_name ON MATCH SET r += $properties, r.updated_at = timestamp() RETURN r - """) + """ + ) params = { "from_node": str(from_node), @@ -201,12 +205,20 @@ class Neo4jAdapter(GraphDBInterface): async def add_edges(self, edges: list[tuple[str, str, str, dict[str, Any]]]) -> None: query = """ - UNWIND $edges AS edge - MATCH (from_node {id: edge.from_node}) - MATCH (to_node {id: edge.to_node}) - CALL apoc.create.relationship(from_node, edge.relationship_name, edge.properties, to_node) YIELD rel - RETURN rel - """ + UNWIND $edges AS edge + MATCH (from_node {id: edge.from_node}) + MATCH (to_node {id: edge.to_node}) + CALL apoc.merge.relationship( + from_node, + edge.relationship_name, + { + source_node_id: edge.from_node, + target_node_id: edge.to_node + }, + edge.properties, + to_node + ) YIELD rel + RETURN rel""" edges = [ { @@ -426,6 +438,15 @@ class Neo4jAdapter(GraphDBInterface): return serialized_properties + async def get_model_independent_graph_data(self): + query_nodes = "MATCH (n) RETURN collect(n) AS nodes" + nodes = await self.query(query_nodes) + + query_edges = "MATCH (n)-[r]->(m) RETURN collect([n, r, m]) AS elements" + edges = await self.query(query_edges) + + return (nodes, edges) + async def get_graph_data(self): query = "MATCH (n) RETURN ID(n) AS id, labels(n) AS labels, properties(n) AS properties" diff --git a/cognee/infrastructure/databases/graph/networkx/adapter.py b/cognee/infrastructure/databases/graph/networkx/adapter.py index 75969c798..ddc1707d3 100644 --- a/cognee/infrastructure/databases/graph/networkx/adapter.py +++ b/cognee/infrastructure/databases/graph/networkx/adapter.py @@ -247,10 +247,11 @@ class NetworkXAdapter(GraphDBInterface): if not file_path: file_path = self.filename - graph_data = nx.readwrite.json_graph.node_link_data(self.graph) + graph_data = nx.readwrite.json_graph.node_link_data(self.graph, edges="links") async with aiofiles.open(file_path, "w") as file: - await file.write(json.dumps(graph_data, cls=JSONEncoder)) + json_data = json.dumps(graph_data, cls=JSONEncoder) + await file.write(json_data) async def load_graph_from_file(self, file_path: str = None): """Asynchronously load the graph from a file in JSON format.""" @@ -265,19 +266,32 @@ class NetworkXAdapter(GraphDBInterface): graph_data = json.loads(await file.read()) for node in graph_data["nodes"]: try: - node["id"] = UUID(node["id"]) + if not isinstance(node["id"], UUID): + node["id"] = UUID(node["id"]) except Exception as e: print(e) pass - if "updated_at" in node: + + if isinstance(node.get("updated_at"), int): + node["updated_at"] = datetime.fromtimestamp( + node["updated_at"] / 1000, tz=timezone.utc + ) + elif isinstance(node.get("updated_at"), str): node["updated_at"] = datetime.strptime( node["updated_at"], "%Y-%m-%dT%H:%M:%S.%f%z" ) for edge in graph_data["links"]: try: - source_id = UUID(edge["source"]) - target_id = UUID(edge["target"]) + if not isinstance(edge["source"], UUID): + source_id = UUID(edge["source"]) + else: + source_id = edge["source"] + + if not isinstance(edge["target"], UUID): + target_id = UUID(edge["target"]) + else: + target_id = edge["target"] edge["source"] = source_id edge["target"] = target_id @@ -287,12 +301,16 @@ class NetworkXAdapter(GraphDBInterface): print(e) pass - if "updated_at" in edge: + if isinstance(edge["updated_at"], int): # Handle timestamp in milliseconds + edge["updated_at"] = datetime.fromtimestamp( + edge["updated_at"] / 1000, tz=timezone.utc + ) + elif isinstance(edge["updated_at"], str): edge["updated_at"] = datetime.strptime( edge["updated_at"], "%Y-%m-%dT%H:%M:%S.%f%z" ) - self.graph = nx.readwrite.json_graph.node_link_graph(graph_data) + self.graph = nx.readwrite.json_graph.node_link_graph(graph_data, edges="links") for node_id, node_data in self.graph.nodes(data=True): node_data["id"] = node_id diff --git a/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py b/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py index 77bfd74e6..dd8934c34 100644 --- a/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py +++ b/cognee/infrastructure/databases/hybrid/falkordb/FalkorDBAdapter.py @@ -88,23 +88,27 @@ class FalkorDBAdapter(VectorDBInterface, GraphDBInterface): } ) - return dedent(f""" + return dedent( + f""" MERGE (node:{node_label} {{id: '{str(data_point.id)}'}}) ON CREATE SET node += ({{{node_properties}}}), node.updated_at = timestamp() ON MATCH SET node += ({{{node_properties}}}), node.updated_at = timestamp() - """).strip() + """ + ).strip() async def create_edge_query(self, edge: tuple[str, str, str, dict]) -> str: properties = await self.stringify_properties(edge[3]) properties = f"{{{properties}}}" - return dedent(f""" + return dedent( + f""" MERGE (source {{id:'{edge[0]}'}}) MERGE (target {{id: '{edge[1]}'}}) MERGE (source)-[edge:{edge[2]} {properties}]->(target) ON MATCH SET edge.updated_at = timestamp() ON CREATE SET edge.updated_at = timestamp() - """).strip() + """ + ).strip() async def create_collection(self, collection_name: str): pass @@ -195,12 +199,14 @@ class FalkorDBAdapter(VectorDBInterface, GraphDBInterface): self.query(query) async def has_edges(self, edges): - query = dedent(""" + query = dedent( + """ UNWIND $edges AS edge MATCH (a)-[r]->(b) WHERE id(a) = edge.from_node AND id(b) = edge.to_node AND type(r) = edge.relationship_name RETURN edge.from_node AS from_node, edge.to_node AS to_node, edge.relationship_name AS relationship_name, count(r) > 0 AS edge_exists - """).strip() + """ + ).strip() params = { "edges": [ @@ -279,14 +285,16 @@ class FalkorDBAdapter(VectorDBInterface, GraphDBInterface): [label, attribute_name] = collection_name.split(".") - query = dedent(f""" + query = dedent( + f""" CALL db.idx.vector.queryNodes( '{label}', '{attribute_name}', {limit}, vecf32({query_vector}) ) YIELD node, score - """).strip() + """ + ).strip() result = self.query(query) diff --git a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py index 6c3c5029d..257c89b8f 100644 --- a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py +++ b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py @@ -77,14 +77,51 @@ class SQLAlchemyAdapter: text(f"DROP TABLE IF EXISTS {schema_name}.{table_name} CASCADE;") ) - async def insert_data(self, schema_name: str, table_name: str, data: list[dict]): - columns = ", ".join(data[0].keys()) - values = ", ".join([f"({', '.join([f':{key}' for key in row.keys()])})" for row in data]) - insert_query = text(f"INSERT INTO {schema_name}.{table_name} ({columns}) VALUES {values};") + async def insert_data( + self, + table_name: str, + data: list[dict], + schema_name: Optional[str] = "public", + ) -> int: + """ + Insert data into specified table using SQLAlchemy Core with batch optimization + Returns number of inserted rows - async with self.engine.begin() as connection: - await connection.execute(insert_query, data) - await connection.close() + Usage Example: + from cognee.infrastructure.databases.relational.get_relational_engine import get_relational_engine + from uuid import UUID + db = get_relational_engine() + table_name = "groups" + data = { + "id": UUID("c70a3cec-3309-44df-8ee6-eced820cf438"), + "name": "test" + } + await db.insert_data(table_name, data) + """ + if not data: + logger.info("No data provided for insertion") + return 0 + + try: + # Use SQLAlchemy Core insert with execution options + async with self.engine.begin() as conn: + # Dialect-agnostic table reference + if self.engine.dialect.name == "sqlite": + # Foreign key constraints are disabled by default in SQLite (for backwards compatibility), + # so must be enabled for each database connection/session separately. + await conn.execute(text("PRAGMA foreign_keys=ON")) + table = await self.get_table(table_name) # SQLite ignores schemas + else: + table = await self.get_table(table_name, schema_name) + + result = await conn.execute(table.insert().values(data)) + + # Return rowcount for validation + return result.rowcount + + except Exception as e: + logger.error(f"Insert failed: {str(e)}") + raise e # Re-raise for error handling upstream async def get_schema_list(self) -> List[str]: """ @@ -93,10 +130,12 @@ class SQLAlchemyAdapter: if self.engine.dialect.name == "postgresql": async with self.engine.begin() as connection: result = await connection.execute( - text(""" + text( + """ SELECT schema_name FROM information_schema.schemata WHERE schema_name NOT IN ('pg_catalog', 'pg_toast', 'information_schema'); - """) + """ + ) ) return [schema[0] for schema in result.fetchall()] return [] diff --git a/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py b/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py index 27061ce45..650fe5adb 100644 --- a/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py +++ b/cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py @@ -6,6 +6,9 @@ import litellm import os from cognee.infrastructure.databases.vector.embeddings.EmbeddingEngine import EmbeddingEngine from cognee.infrastructure.databases.exceptions.EmbeddingException import EmbeddingException +from cognee.infrastructure.llm.tokenizer.Gemini import GeminiTokenizer +from cognee.infrastructure.llm.tokenizer.HuggingFace import HuggingFaceTokenizer +from cognee.infrastructure.llm.tokenizer.TikToken import TikTokenTokenizer litellm.set_verbose = False logger = logging.getLogger("LiteLLMEmbeddingEngine") @@ -15,32 +18,38 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine): api_key: str endpoint: str api_version: str + provider: str model: str dimensions: int mock: bool + MAX_RETRIES = 5 + def __init__( self, - model: Optional[str] = "text-embedding-3-large", + model: Optional[str] = "openai/text-embedding-3-large", + provider: str = "openai", dimensions: Optional[int] = 3072, api_key: str = None, endpoint: str = None, api_version: str = None, + max_tokens: int = 512, ): self.api_key = api_key self.endpoint = endpoint self.api_version = api_version + self.provider = provider self.model = model self.dimensions = dimensions + self.max_tokens = max_tokens + self.tokenizer = self.get_tokenizer() + self.retry_count = 0 enable_mocking = os.getenv("MOCK_EMBEDDING", "false") if isinstance(enable_mocking, bool): enable_mocking = str(enable_mocking).lower() self.mock = enable_mocking in ("true", "1", "yes") - MAX_RETRIES = 5 - retry_count = 0 - async def embed_text(self, text: List[str]) -> List[List[float]]: async def exponential_backoff(attempt): wait_time = min(10 * (2**attempt), 60) # Max 60 seconds @@ -55,14 +64,14 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine): return [data["embedding"] for data in response["data"]] else: response = await litellm.aembedding( - self.model, + model=self.model, input=text, api_key=self.api_key, api_base=self.endpoint, api_version=self.api_version, ) - self.retry_count = 0 + self.retry_count = 0 # Reset retry count on successful call return [data["embedding"] for data in response.data] @@ -90,13 +99,16 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine): raise Exception("Rate limit exceeded and no more retries left.") await exponential_backoff(self.retry_count) - self.retry_count += 1 return await self.embed_text(text) - except (litellm.exceptions.BadRequestError, litellm.llms.OpenAI.openai.OpenAIError): - raise EmbeddingException("Failed to index data points.") + except ( + litellm.exceptions.BadRequestError, + litellm.exceptions.NotFoundError, + ) as e: + logger.error(f"Embedding error with model {self.model}: {str(e)}") + raise EmbeddingException(f"Failed to index data points using model {self.model}") except Exception as error: logger.error("Error embedding text: %s", str(error)) @@ -104,3 +116,18 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine): def get_vector_size(self) -> int: return self.dimensions + + def get_tokenizer(self): + logger.debug(f"Loading tokenizer for model {self.model}...") + # If model also contains provider information, extract only model information + model = self.model.split("/")[-1] + + if "openai" in self.provider.lower(): + tokenizer = TikTokenTokenizer(model=model, max_tokens=self.max_tokens) + elif "gemini" in self.provider.lower(): + tokenizer = GeminiTokenizer(model=model, max_tokens=self.max_tokens) + else: + tokenizer = HuggingFaceTokenizer(model=self.model, max_tokens=self.max_tokens) + + logger.debug(f"Tokenizer loaded for model: {self.model}") + return tokenizer diff --git a/cognee/infrastructure/databases/vector/embeddings/config.py b/cognee/infrastructure/databases/vector/embeddings/config.py index 042c063f8..315caf7ef 100644 --- a/cognee/infrastructure/databases/vector/embeddings/config.py +++ b/cognee/infrastructure/databases/vector/embeddings/config.py @@ -4,12 +4,13 @@ from pydantic_settings import BaseSettings, SettingsConfigDict class EmbeddingConfig(BaseSettings): - embedding_model: Optional[str] = "text-embedding-3-large" + embedding_provider: Optional[str] = "openai" + embedding_model: Optional[str] = "openai/text-embedding-3-large" embedding_dimensions: Optional[int] = 3072 embedding_endpoint: Optional[str] = None embedding_api_key: Optional[str] = None embedding_api_version: Optional[str] = None - + embedding_max_tokens: Optional[int] = 8191 model_config = SettingsConfigDict(env_file=".env", extra="allow") diff --git a/cognee/infrastructure/databases/vector/embeddings/get_embedding_engine.py b/cognee/infrastructure/databases/vector/embeddings/get_embedding_engine.py index 6bfb4dd15..d3011f059 100644 --- a/cognee/infrastructure/databases/vector/embeddings/get_embedding_engine.py +++ b/cognee/infrastructure/databases/vector/embeddings/get_embedding_engine.py @@ -10,9 +10,11 @@ def get_embedding_engine() -> EmbeddingEngine: return LiteLLMEmbeddingEngine( # If OpenAI API is used for embeddings, litellm needs only the api_key. + provider=config.embedding_provider, api_key=config.embedding_api_key or llm_config.llm_api_key, endpoint=config.embedding_endpoint, api_version=config.embedding_api_version, model=config.embedding_model, dimensions=config.embedding_dimensions, + max_tokens=config.embedding_max_tokens, ) diff --git a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py index 2caa8be1e..7dc59151f 100644 --- a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py +++ b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py @@ -152,7 +152,9 @@ class LanceDBAdapter(VectorDBInterface): connection = await self.get_connection() collection = await connection.open_table(collection_name) - results = await collection.vector_search(query_vector).to_pandas() + collection_size = await collection.count_rows() + + results = await collection.vector_search(query_vector).limit(collection_size).to_pandas() result_values = list(results.to_dict("index").values()) @@ -250,9 +252,16 @@ class LanceDBAdapter(VectorDBInterface): ) async def prune(self): - # Clean up the database if it was set up as temporary + connection = await self.get_connection() + collection_names = await connection.table_names() + + for collection_name in collection_names: + collection = await connection.open_table(collection_name) + await collection.delete("id IS NOT NULL") + await connection.drop_table(collection_name) + if self.url.startswith("/"): - LocalStorage.remove_all(self.url) # Remove the temporary directory and files inside + LocalStorage.remove_all(self.url) def get_data_point_schema(self, model_type): return copy_model( diff --git a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py index df22e8f18..3700fd0fa 100644 --- a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py +++ b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py @@ -14,9 +14,9 @@ from ...relational.ModelBase import Base from ...relational.sqlalchemy.SqlAlchemyAdapter import SQLAlchemyAdapter from ..embeddings.EmbeddingEngine import EmbeddingEngine from ..models.ScoredResult import ScoredResult -from ..utils import normalize_distances from ..vector_db_interface import VectorDBInterface from .serialize_data import serialize_data +from ..utils import normalize_distances class IndexSchema(DataPoint): @@ -247,12 +247,22 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface): # Extract distances and find min/max for normalization for vector in closest_items: - # TODO: Add normalization of similarity score - vector_list.append(vector) + vector_list.append( + { + "id": UUID(str(vector.id)), + "payload": vector.payload, + "_distance": vector.similarity, + } + ) + + # Normalize vector distance and add this as score information to vector_list + normalized_values = normalize_distances(vector_list) + for i in range(0, len(normalized_values)): + vector_list[i]["score"] = normalized_values[i] # Create and return ScoredResult objects return [ - ScoredResult(id=UUID(str(row.id)), payload=row.payload, score=row.similarity) + ScoredResult(id=row.get("id"), payload=row.get("payload"), score=row.get("score")) for row in vector_list ] diff --git a/cognee/infrastructure/engine/models/DataPoint.py b/cognee/infrastructure/engine/models/DataPoint.py index db0d9308a..85697f891 100644 --- a/cognee/infrastructure/engine/models/DataPoint.py +++ b/cognee/infrastructure/engine/models/DataPoint.py @@ -1,25 +1,31 @@ from datetime import datetime, timezone -from typing import Optional +from typing import Optional, Any, Dict from uuid import UUID, uuid4 from pydantic import BaseModel, Field from typing_extensions import TypedDict +import pickle +# Define metadata type class MetaData(TypedDict): index_fields: list[str] +# Updated DataPoint model with versioning and new fields class DataPoint(BaseModel): __tablename__ = "data_point" id: UUID = Field(default_factory=uuid4) - updated_at: Optional[datetime] = datetime.now(timezone.utc) + created_at: int = Field( + default_factory=lambda: int(datetime.now(timezone.utc).timestamp() * 1000) + ) + updated_at: int = Field( + default_factory=lambda: int(datetime.now(timezone.utc).timestamp() * 1000) + ) + version: int = 1 # Default version topological_rank: Optional[int] = 0 _metadata: Optional[MetaData] = {"index_fields": [], "type": "DataPoint"} - # class Config: - # underscore_attrs_are_private = True - @classmethod def get_embeddable_data(self, data_point): if ( @@ -31,11 +37,11 @@ class DataPoint(BaseModel): if isinstance(attribute, str): return attribute.strip() - else: - return attribute + return attribute @classmethod def get_embeddable_properties(self, data_point): + """Retrieve all embeddable properties.""" if data_point._metadata and len(data_point._metadata["index_fields"]) > 0: return [ getattr(data_point, field, None) for field in data_point._metadata["index_fields"] @@ -45,4 +51,40 @@ class DataPoint(BaseModel): @classmethod def get_embeddable_property_names(self, data_point): + """Retrieve names of embeddable properties.""" return data_point._metadata["index_fields"] or [] + + def update_version(self): + """Update the version and updated_at timestamp.""" + self.version += 1 + self.updated_at = int(datetime.now(timezone.utc).timestamp() * 1000) + + # JSON Serialization + def to_json(self) -> str: + """Serialize the instance to a JSON string.""" + return self.json() + + @classmethod + def from_json(self, json_str: str): + """Deserialize the instance from a JSON string.""" + return self.model_validate_json(json_str) + + # Pickle Serialization + def to_pickle(self) -> bytes: + """Serialize the instance to pickle-compatible bytes.""" + return pickle.dumps(self.dict()) + + @classmethod + def from_pickle(self, pickled_data: bytes): + """Deserialize the instance from pickled bytes.""" + data = pickle.loads(pickled_data) + return self(**data) + + def to_dict(self, **kwargs) -> Dict[str, Any]: + """Serialize model to a dictionary.""" + return self.model_dump(**kwargs) + + @classmethod + def from_dict(cls, data: Dict[str, Any]) -> "DataPoint": + """Deserialize model from a dictionary.""" + return cls.model_validate(data) diff --git a/cognee/infrastructure/llm/__init__.py b/cognee/infrastructure/llm/__init__.py index 7fb3be736..36d7e56ad 100644 --- a/cognee/infrastructure/llm/__init__.py +++ b/cognee/infrastructure/llm/__init__.py @@ -1 +1,2 @@ from .config import get_llm_config +from .utils import get_max_chunk_tokens diff --git a/cognee/infrastructure/llm/anthropic/adapter.py b/cognee/infrastructure/llm/anthropic/adapter.py index 1fba732a0..cfeb15d25 100644 --- a/cognee/infrastructure/llm/anthropic/adapter.py +++ b/cognee/infrastructure/llm/anthropic/adapter.py @@ -14,11 +14,12 @@ class AnthropicAdapter(LLMInterface): name = "Anthropic" model: str - def __init__(self, model: str = None): + def __init__(self, max_tokens: int, model: str = None): self.aclient = instructor.patch( create=anthropic.Anthropic().messages.create, mode=instructor.Mode.ANTHROPIC_TOOLS ) self.model = model + self.max_tokens = max_tokens async def acreate_structured_output( self, text_input: str, system_prompt: str, response_model: Type[BaseModel] diff --git a/cognee/infrastructure/llm/config.py b/cognee/infrastructure/llm/config.py index 67fc82683..48c94423e 100644 --- a/cognee/infrastructure/llm/config.py +++ b/cognee/infrastructure/llm/config.py @@ -11,6 +11,7 @@ class LLMConfig(BaseSettings): llm_api_version: Optional[str] = None llm_temperature: float = 0.0 llm_streaming: bool = False + llm_max_tokens: int = 16384 transcription_model: str = "whisper-1" model_config = SettingsConfigDict(env_file=".env", extra="allow") @@ -24,6 +25,7 @@ class LLMConfig(BaseSettings): "api_version": self.llm_api_version, "temperature": self.llm_temperature, "streaming": self.llm_streaming, + "max_tokens": self.llm_max_tokens, "transcription_model": self.transcription_model, } diff --git a/cognee/infrastructure/llm/gemini/__init__.py b/cognee/infrastructure/llm/gemini/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/cognee/infrastructure/llm/gemini/adapter.py b/cognee/infrastructure/llm/gemini/adapter.py new file mode 100644 index 000000000..f37fb1c80 --- /dev/null +++ b/cognee/infrastructure/llm/gemini/adapter.py @@ -0,0 +1,155 @@ +from typing import Type, Optional +from pydantic import BaseModel +import logging +import litellm +import asyncio +from litellm import acompletion, JSONSchemaValidationError +from cognee.shared.data_models import MonitoringTool +from cognee.exceptions import InvalidValueError +from cognee.infrastructure.llm.llm_interface import LLMInterface +from cognee.infrastructure.llm.prompts import read_query_prompt +from cognee.base_config import get_base_config + +logger = logging.getLogger(__name__) + +monitoring = get_base_config().monitoring_tool +if monitoring == MonitoringTool.LANGFUSE: + from langfuse.decorators import observe + + +class GeminiAdapter(LLMInterface): + MAX_RETRIES = 5 + + def __init__( + self, + api_key: str, + model: str, + max_tokens: int, + endpoint: Optional[str] = None, + api_version: Optional[str] = None, + streaming: bool = False, + ) -> None: + self.api_key = api_key + self.model = model + self.endpoint = endpoint + self.api_version = api_version + self.streaming = streaming + self.max_tokens = max_tokens + + @observe(as_type="generation") + async def acreate_structured_output( + self, text_input: str, system_prompt: str, response_model: Type[BaseModel] + ) -> BaseModel: + try: + response_schema = { + "type": "object", + "properties": { + "summary": {"type": "string"}, + "description": {"type": "string"}, + "nodes": { + "type": "array", + "items": { + "type": "object", + "properties": { + "name": {"type": "string"}, + "type": {"type": "string"}, + "description": {"type": "string"}, + "id": {"type": "string"}, + "label": {"type": "string"}, + }, + "required": ["name", "type", "description", "id", "label"], + }, + }, + "edges": { + "type": "array", + "items": { + "type": "object", + "properties": { + "source_node_id": {"type": "string"}, + "target_node_id": {"type": "string"}, + "relationship_name": {"type": "string"}, + }, + "required": ["source_node_id", "target_node_id", "relationship_name"], + }, + }, + }, + "required": ["summary", "description", "nodes", "edges"], + } + + simplified_prompt = f""" +{system_prompt} + +IMPORTANT: Your response must be a valid JSON object with these required fields: +1. summary: A brief summary +2. description: A detailed description +3. nodes: Array of nodes with name, type, description, id, and label +4. edges: Array of edges with source_node_id, target_node_id, and relationship_name + +Example structure: +{{ + "summary": "Brief summary", + "description": "Detailed description", + "nodes": [ + {{ + "name": "Example Node", + "type": "Concept", + "description": "Node description", + "id": "example-id", + "label": "Concept" + }} + ], + "edges": [ + {{ + "source_node_id": "source-id", + "target_node_id": "target-id", + "relationship_name": "relates_to" + }} + ] +}}""" + + messages = [ + {"role": "system", "content": simplified_prompt}, + {"role": "user", "content": text_input}, + ] + + try: + response = await acompletion( + model=f"{self.model}", + messages=messages, + api_key=self.api_key, + max_tokens=self.max_tokens, + temperature=0.1, + response_format={"type": "json_object", "schema": response_schema}, + timeout=10, + num_retries=self.MAX_RETRIES, + ) + + if response.choices and response.choices[0].message.content: + content = response.choices[0].message.content + return response_model.model_validate_json(content) + + except litellm.exceptions.BadRequestError as e: + logger.error(f"Bad request error: {str(e)}") + raise ValueError(f"Invalid request: {str(e)}") + + raise ValueError("Failed to get valid response after retries") + + except JSONSchemaValidationError as e: + logger.error(f"Schema validation failed: {str(e)}") + logger.debug(f"Raw response: {e.raw_response}") + raise ValueError(f"Response failed schema validation: {str(e)}") + + def show_prompt(self, text_input: str, system_prompt: str) -> str: + """Format and display the prompt for a user query.""" + if not text_input: + text_input = "No user input provided." + if not system_prompt: + raise InvalidValueError(message="No system prompt path provided.") + system_prompt = read_query_prompt(system_prompt) + + formatted_prompt = ( + f"""System Prompt:\n{system_prompt}\n\nUser Input:\n{text_input}\n""" + if system_prompt + else None + ) + return formatted_prompt diff --git a/cognee/infrastructure/llm/generic_llm_api/adapter.py b/cognee/infrastructure/llm/generic_llm_api/adapter.py index a910c0780..98002b2cb 100644 --- a/cognee/infrastructure/llm/generic_llm_api/adapter.py +++ b/cognee/infrastructure/llm/generic_llm_api/adapter.py @@ -2,6 +2,7 @@ import asyncio from typing import List, Type + from pydantic import BaseModel import instructor from cognee.infrastructure.llm.llm_interface import LLMInterface @@ -16,11 +17,12 @@ class GenericAPIAdapter(LLMInterface): model: str api_key: str - def __init__(self, endpoint, api_key: str, model: str, name: str): + def __init__(self, endpoint, api_key: str, model: str, name: str, max_tokens: int): self.name = name self.model = model self.api_key = api_key self.endpoint = endpoint + self.max_tokens = max_tokens llm_config = get_llm_config() diff --git a/cognee/infrastructure/llm/get_llm_client.py b/cognee/infrastructure/llm/get_llm_client.py index 0f64014e3..5e26345e8 100644 --- a/cognee/infrastructure/llm/get_llm_client.py +++ b/cognee/infrastructure/llm/get_llm_client.py @@ -12,6 +12,7 @@ class LLMProvider(Enum): OLLAMA = "ollama" ANTHROPIC = "anthropic" CUSTOM = "custom" + GEMINI = "gemini" def get_llm_client(): @@ -20,6 +21,15 @@ def get_llm_client(): provider = LLMProvider(llm_config.llm_provider) + # Check if max_token value is defined in liteLLM for given model + # if not use value from cognee configuration + from cognee.infrastructure.llm.utils import ( + get_model_max_tokens, + ) # imported here to avoid circular imports + + model_max_tokens = get_model_max_tokens(llm_config.llm_model) + max_tokens = model_max_tokens if model_max_tokens else llm_config.llm_max_tokens + if provider == LLMProvider.OPENAI: if llm_config.llm_api_key is None: raise InvalidValueError(message="LLM API key is not set.") @@ -32,6 +42,7 @@ def get_llm_client(): api_version=llm_config.llm_api_version, model=llm_config.llm_model, transcription_model=llm_config.transcription_model, + max_tokens=max_tokens, streaming=llm_config.llm_streaming, ) @@ -42,13 +53,17 @@ def get_llm_client(): from .generic_llm_api.adapter import GenericAPIAdapter return GenericAPIAdapter( - llm_config.llm_endpoint, llm_config.llm_api_key, llm_config.llm_model, "Ollama" + llm_config.llm_endpoint, + llm_config.llm_api_key, + llm_config.llm_model, + "Ollama", + max_tokens=max_tokens, ) elif provider == LLMProvider.ANTHROPIC: from .anthropic.adapter import AnthropicAdapter - return AnthropicAdapter(llm_config.llm_model) + return AnthropicAdapter(max_tokens=max_tokens, model=llm_config.llm_model) elif provider == LLMProvider.CUSTOM: if llm_config.llm_api_key is None: @@ -57,7 +72,26 @@ def get_llm_client(): from .generic_llm_api.adapter import GenericAPIAdapter return GenericAPIAdapter( - llm_config.llm_endpoint, llm_config.llm_api_key, llm_config.llm_model, "Custom" + llm_config.llm_endpoint, + llm_config.llm_api_key, + llm_config.llm_model, + "Custom", + max_tokens=max_tokens, + ) + + elif provider == LLMProvider.GEMINI: + if llm_config.llm_api_key is None: + raise InvalidValueError(message="LLM API key is not set.") + + from .gemini.adapter import GeminiAdapter + + return GeminiAdapter( + api_key=llm_config.llm_api_key, + model=llm_config.llm_model, + max_tokens=max_tokens, + endpoint=llm_config.llm_endpoint, + api_version=llm_config.llm_api_version, + streaming=llm_config.llm_streaming, ) else: diff --git a/cognee/infrastructure/llm/openai/adapter.py b/cognee/infrastructure/llm/openai/adapter.py index d45662380..c9f87d211 100644 --- a/cognee/infrastructure/llm/openai/adapter.py +++ b/cognee/infrastructure/llm/openai/adapter.py @@ -23,6 +23,8 @@ class OpenAIAdapter(LLMInterface): api_key: str api_version: str + MAX_RETRIES = 5 + """Adapter for OpenAI's GPT-3, GPT=4 API""" def __init__( @@ -32,6 +34,7 @@ class OpenAIAdapter(LLMInterface): api_version: str, model: str, transcription_model: str, + max_tokens: int, streaming: bool = False, ): self.aclient = instructor.from_litellm(litellm.acompletion) @@ -41,6 +44,7 @@ class OpenAIAdapter(LLMInterface): self.api_key = api_key self.endpoint = endpoint self.api_version = api_version + self.max_tokens = max_tokens self.streaming = streaming @observe(as_type="generation") @@ -66,7 +70,7 @@ class OpenAIAdapter(LLMInterface): api_base=self.endpoint, api_version=self.api_version, response_model=response_model, - max_retries=5, + max_retries=self.MAX_RETRIES, ) @observe @@ -92,7 +96,7 @@ class OpenAIAdapter(LLMInterface): api_base=self.endpoint, api_version=self.api_version, response_model=response_model, - max_retries=5, + max_retries=self.MAX_RETRIES, ) def create_transcript(self, input): @@ -110,7 +114,7 @@ class OpenAIAdapter(LLMInterface): api_key=self.api_key, api_base=self.endpoint, api_version=self.api_version, - max_retries=5, + max_retries=self.MAX_RETRIES, ) return transcription @@ -142,7 +146,7 @@ class OpenAIAdapter(LLMInterface): api_base=self.endpoint, api_version=self.api_version, max_tokens=300, - max_retries=5, + max_retries=self.MAX_RETRIES, ) def show_prompt(self, text_input: str, system_prompt: str) -> str: diff --git a/cognee/infrastructure/llm/prompts/llm_judge_prompts.py b/cognee/infrastructure/llm/prompts/llm_judge_prompts.py new file mode 100644 index 000000000..9b94ebdad --- /dev/null +++ b/cognee/infrastructure/llm/prompts/llm_judge_prompts.py @@ -0,0 +1,9 @@ +# LLM-as-a-judge metrics as described here: https://arxiv.org/abs/2404.16130 + +llm_judge_prompts = { + "correctness": "Determine whether the actual output is factually correct based on the expected output.", + "comprehensiveness": "Determine how much detail the answer provides to cover all the aspects and details of the question.", + "diversity": "Determine how varied and rich the answer is in providing different perspectives and insights on the question.", + "empowerment": "Determine how well the answer helps the reader understand and make informed judgements about the topic.", + "directness": "Determine how specifically and clearly the answer addresses the question.", +} diff --git a/cognee/infrastructure/llm/tokenizer/Gemini/__init__.py b/cognee/infrastructure/llm/tokenizer/Gemini/__init__.py new file mode 100644 index 000000000..4ed4ad4d5 --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/Gemini/__init__.py @@ -0,0 +1 @@ +from .adapter import GeminiTokenizer diff --git a/cognee/infrastructure/llm/tokenizer/Gemini/adapter.py b/cognee/infrastructure/llm/tokenizer/Gemini/adapter.py new file mode 100644 index 000000000..61acdd7ab --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/Gemini/adapter.py @@ -0,0 +1,45 @@ +from typing import List, Any, Union + +from ..tokenizer_interface import TokenizerInterface + + +class GeminiTokenizer(TokenizerInterface): + def __init__( + self, + model: str, + max_tokens: int = 3072, + ): + self.model = model + self.max_tokens = max_tokens + + # Get LLM API key from config + from cognee.infrastructure.databases.vector.embeddings.config import get_embedding_config + from cognee.infrastructure.llm.config import get_llm_config + + config = get_embedding_config() + llm_config = get_llm_config() + + import google.generativeai as genai + + genai.configure(api_key=config.embedding_api_key or llm_config.llm_api_key) + + def extract_tokens(self, text: str) -> List[Any]: + raise NotImplementedError + + def decode_single_token(self, encoding: int): + # Gemini tokenizer doesn't have the option to decode tokens + raise NotImplementedError + + def count_tokens(self, text: str) -> int: + """ + Returns the number of tokens in the given text. + Args: + text: str + + Returns: + number of tokens in the given text + + """ + import google.generativeai as genai + + return len(genai.embed_content(model=f"models/{self.model}", content=text)) diff --git a/cognee/infrastructure/llm/tokenizer/HuggingFace/__init__.py b/cognee/infrastructure/llm/tokenizer/HuggingFace/__init__.py new file mode 100644 index 000000000..7cdfb9aa0 --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/HuggingFace/__init__.py @@ -0,0 +1 @@ +from .adapter import HuggingFaceTokenizer diff --git a/cognee/infrastructure/llm/tokenizer/HuggingFace/adapter.py b/cognee/infrastructure/llm/tokenizer/HuggingFace/adapter.py new file mode 100644 index 000000000..e26a5b1ca --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/HuggingFace/adapter.py @@ -0,0 +1,38 @@ +from typing import List, Any + +from ..tokenizer_interface import TokenizerInterface + + +class HuggingFaceTokenizer(TokenizerInterface): + def __init__( + self, + model: str, + max_tokens: int = 512, + ): + self.model = model + self.max_tokens = max_tokens + + # Import here to make it an optional dependency + from transformers import AutoTokenizer + + self.tokenizer = AutoTokenizer.from_pretrained(model) + + def extract_tokens(self, text: str) -> List[Any]: + tokens = self.tokenizer.tokenize(text) + return tokens + + def count_tokens(self, text: str) -> int: + """ + Returns the number of tokens in the given text. + Args: + text: str + + Returns: + number of tokens in the given text + + """ + return len(self.tokenizer.tokenize(text)) + + def decode_single_token(self, encoding: int): + # Gemini tokenizer doesn't have the option to decode tokens + raise NotImplementedError diff --git a/cognee/infrastructure/llm/tokenizer/TikToken/__init__.py b/cognee/infrastructure/llm/tokenizer/TikToken/__init__.py new file mode 100644 index 000000000..4c7a39401 --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/TikToken/__init__.py @@ -0,0 +1 @@ +from .adapter import TikTokenTokenizer diff --git a/cognee/infrastructure/llm/tokenizer/TikToken/adapter.py b/cognee/infrastructure/llm/tokenizer/TikToken/adapter.py new file mode 100644 index 000000000..7a01fe511 --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/TikToken/adapter.py @@ -0,0 +1,72 @@ +from typing import List, Any +import tiktoken + +from ..tokenizer_interface import TokenizerInterface + + +class TikTokenTokenizer(TokenizerInterface): + """ + Tokenizer adapter for OpenAI. + Inteded to be used as part of LLM Embedding and LLM Adapters classes + """ + + def __init__( + self, + model: str, + max_tokens: int = 8191, + ): + self.model = model + self.max_tokens = max_tokens + # Initialize TikToken for GPT based on model + self.tokenizer = tiktoken.encoding_for_model(self.model) + + def extract_tokens(self, text: str) -> List[Any]: + # Using TikToken's method to tokenize text + token_ids = self.tokenizer.encode(text) + return token_ids + + def decode_token_list(self, tokens: List[Any]) -> List[Any]: + if not isinstance(tokens, list): + tokens = [tokens] + return [self.tokenizer.decode(i) for i in tokens] + + def decode_single_token(self, token: int): + return self.tokenizer.decode_single_token_bytes(token).decode("utf-8", errors="replace") + + def count_tokens(self, text: str) -> int: + """ + Returns the number of tokens in the given text. + Args: + text: str + + Returns: + number of tokens in the given text + + """ + num_tokens = len(self.tokenizer.encode(text)) + return num_tokens + + def trim_text_to_max_tokens(self, text: str) -> str: + """ + Trims the text so that the number of tokens does not exceed max_tokens. + + Args: + text (str): Original text string to be trimmed. + + Returns: + str: Trimmed version of text or original text if under the limit. + """ + # First check the number of tokens + num_tokens = self.count_tokens(text) + + # If the number of tokens is within the limit, return the text as is + if num_tokens <= self.max_tokens: + return text + + # If the number exceeds the limit, trim the text + # This is a simple trim, it may cut words in half; consider using word boundaries for a cleaner cut + encoded_text = self.tokenizer.encode(text) + trimmed_encoded_text = encoded_text[: self.max_tokens] + # Decoding the trimmed text + trimmed_text = self.tokenizer.decode(trimmed_encoded_text) + return trimmed_text diff --git a/cognee/infrastructure/llm/tokenizer/__init__.py b/cognee/infrastructure/llm/tokenizer/__init__.py new file mode 100644 index 000000000..0cc895c13 --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/__init__.py @@ -0,0 +1 @@ +from .tokenizer_interface import TokenizerInterface diff --git a/cognee/infrastructure/llm/tokenizer/tokenizer_interface.py b/cognee/infrastructure/llm/tokenizer/tokenizer_interface.py new file mode 100644 index 000000000..456c69f64 --- /dev/null +++ b/cognee/infrastructure/llm/tokenizer/tokenizer_interface.py @@ -0,0 +1,18 @@ +from typing import List, Protocol, Any +from abc import abstractmethod + + +class TokenizerInterface(Protocol): + """Tokenizer interface""" + + @abstractmethod + def extract_tokens(self, text: str) -> List[Any]: + raise NotImplementedError + + @abstractmethod + def count_tokens(self, text: str) -> int: + raise NotImplementedError + + @abstractmethod + def decode_single_token(self, token: int) -> str: + raise NotImplementedError diff --git a/cognee/infrastructure/llm/utils.py b/cognee/infrastructure/llm/utils.py new file mode 100644 index 000000000..e0aa8945a --- /dev/null +++ b/cognee/infrastructure/llm/utils.py @@ -0,0 +1,38 @@ +import logging +import litellm + +from cognee.infrastructure.databases.vector import get_vector_engine +from cognee.infrastructure.llm.get_llm_client import get_llm_client + +logger = logging.getLogger(__name__) + + +def get_max_chunk_tokens(): + # Calculate max chunk size based on the following formula + embedding_engine = get_vector_engine().embedding_engine + llm_client = get_llm_client() + + # We need to make sure chunk size won't take more than half of LLM max context token size + # but it also can't be bigger than the embedding engine max token size + llm_cutoff_point = llm_client.max_tokens // 2 # Round down the division + max_chunk_tokens = min(embedding_engine.max_tokens, llm_cutoff_point) + + return max_chunk_tokens + + +def get_model_max_tokens(model_name: str): + """ + Args: + model_name: name of LLM or embedding model + + Returns: Number of max tokens of model, or None if model is unknown + """ + max_tokens = None + + if model_name in litellm.model_cost: + max_tokens = litellm.model_cost[model_name]["max_tokens"] + logger.debug(f"Max input tokens for {model_name}: {max_tokens}") + else: + logger.info("Model not found in LiteLLM's model_cost.") + + return max_tokens diff --git a/cognee/modules/chunking/TextChunker.py b/cognee/modules/chunking/TextChunker.py index 78c02b9c9..57663f95e 100644 --- a/cognee/modules/chunking/TextChunker.py +++ b/cognee/modules/chunking/TextChunker.py @@ -14,17 +14,15 @@ class TextChunker: chunk_size = 0 token_count = 0 - def __init__( - self, document, get_text: callable, max_tokens: Optional[int] = None, chunk_size: int = 1024 - ): + def __init__(self, document, get_text: callable, max_chunk_tokens: int, chunk_size: int = 1024): self.document = document self.max_chunk_size = chunk_size self.get_text = get_text - self.max_tokens = max_tokens if max_tokens else float("inf") + self.max_chunk_tokens = max_chunk_tokens def check_word_count_and_token_count(self, word_count_before, token_count_before, chunk_data): word_count_fits = word_count_before + chunk_data["word_count"] <= self.max_chunk_size - token_count_fits = token_count_before + chunk_data["token_count"] <= self.max_tokens + token_count_fits = token_count_before + chunk_data["token_count"] <= self.max_chunk_tokens return word_count_fits and token_count_fits def read(self): @@ -32,7 +30,7 @@ class TextChunker: for content_text in self.get_text(): for chunk_data in chunk_by_paragraph( content_text, - self.max_tokens, + self.max_chunk_tokens, self.max_chunk_size, batch_paragraphs=True, ): @@ -48,13 +46,13 @@ class TextChunker: id=chunk_data["chunk_id"], text=chunk_data["text"], word_count=chunk_data["word_count"], + token_count=chunk_data["token_count"], is_part_of=self.document, chunk_index=self.chunk_index, cut_type=chunk_data["cut_type"], contains=[], _metadata={ "index_fields": ["text"], - "metadata_id": self.document.metadata_id, }, ) paragraph_chunks = [] @@ -68,13 +66,13 @@ class TextChunker: ), text=chunk_text, word_count=self.chunk_size, + token_count=self.token_count, is_part_of=self.document, chunk_index=self.chunk_index, cut_type=paragraph_chunks[len(paragraph_chunks) - 1]["cut_type"], contains=[], _metadata={ "index_fields": ["text"], - "metadata_id": self.document.metadata_id, }, ) except Exception as e: @@ -91,11 +89,12 @@ class TextChunker: id=uuid5(NAMESPACE_OID, f"{str(self.document.id)}-{self.chunk_index}"), text=" ".join(chunk["text"] for chunk in paragraph_chunks), word_count=self.chunk_size, + token_count=self.token_count, is_part_of=self.document, chunk_index=self.chunk_index, cut_type=paragraph_chunks[len(paragraph_chunks) - 1]["cut_type"], contains=[], - _metadata={"index_fields": ["text"], "metadata_id": self.document.metadata_id}, + _metadata={"index_fields": ["text"]}, ) except Exception as e: print(e) diff --git a/cognee/modules/chunking/models/DocumentChunk.py b/cognee/modules/chunking/models/DocumentChunk.py index a232d50a1..894a810d2 100644 --- a/cognee/modules/chunking/models/DocumentChunk.py +++ b/cognee/modules/chunking/models/DocumentChunk.py @@ -9,6 +9,7 @@ class DocumentChunk(DataPoint): __tablename__ = "document_chunk" text: str word_count: int + token_count: int chunk_index: int cut_type: str is_part_of: Document diff --git a/cognee/modules/cognify/config.py b/cognee/modules/cognify/config.py index dd94d8b41..4ba0f4bd6 100644 --- a/cognee/modules/cognify/config.py +++ b/cognee/modules/cognify/config.py @@ -8,7 +8,6 @@ import os class CognifyConfig(BaseSettings): classification_model: object = DefaultContentPrediction summarization_model: object = SummarizedContent - max_tokens: Optional[int] = os.getenv("MAX_TOKENS") model_config = SettingsConfigDict(env_file=".env", extra="allow") def to_dict(self) -> dict: diff --git a/cognee/modules/data/models/Data.py b/cognee/modules/data/models/Data.py index cf8918db7..54d8bce1b 100644 --- a/cognee/modules/data/models/Data.py +++ b/cognee/modules/data/models/Data.py @@ -1,13 +1,11 @@ from datetime import datetime, timezone -from typing import List from uuid import uuid4 -from sqlalchemy import UUID, Column, DateTime, String -from sqlalchemy.orm import Mapped, relationship +from sqlalchemy import UUID, Column, DateTime, String, JSON, Integer +from sqlalchemy.orm import relationship from cognee.infrastructure.databases.relational import Base from .DatasetData import DatasetData -from .Metadata import Metadata class Data(Base): @@ -21,6 +19,8 @@ class Data(Base): raw_data_location = Column(String) owner_id = Column(UUID, index=True) content_hash = Column(String) + external_metadata = Column(JSON) + token_count = Column(Integer) created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)) updated_at = Column(DateTime(timezone=True), onupdate=lambda: datetime.now(timezone.utc)) @@ -32,13 +32,6 @@ class Data(Base): cascade="all, delete", ) - metadata_relationship = relationship( - "Metadata", - back_populates="data", - lazy="noload", - cascade="all, delete", - ) - def to_json(self) -> dict: return { "id": str(self.id), diff --git a/cognee/modules/data/models/GraphMetrics.py b/cognee/modules/data/models/GraphMetrics.py new file mode 100644 index 000000000..2103214c8 --- /dev/null +++ b/cognee/modules/data/models/GraphMetrics.py @@ -0,0 +1,27 @@ +from datetime import datetime, timezone + +from sqlalchemy import Column, DateTime, Float, Integer, JSON, UUID + +from cognee.infrastructure.databases.relational import Base +from uuid import uuid4 + + +class GraphMetrics(Base): + __tablename__ = "graph_metrics_table" + + # TODO: Change ID to reflect unique id of graph database + id = Column(UUID, primary_key=True, default=uuid4) + num_tokens = Column(Integer, nullable=True) + num_nodes = Column(Integer, nullable=True) + num_edges = Column(Integer, nullable=True) + mean_degree = Column(Float, nullable=True) + edge_density = Column(Float, nullable=True) + num_connected_components = Column(Integer, nullable=True) + sizes_of_connected_components = Column(JSON, nullable=True) + num_selfloops = Column(Integer, nullable=True) + diameter = Column(Integer, nullable=True) + avg_shortest_path_length = Column(Float, nullable=True) + avg_clustering = Column(Float, nullable=True) + + created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)) + updated_at = Column(DateTime(timezone=True), onupdate=lambda: datetime.now(timezone.utc)) diff --git a/cognee/modules/data/models/Metadata.py b/cognee/modules/data/models/Metadata.py deleted file mode 100644 index ab41d94be..000000000 --- a/cognee/modules/data/models/Metadata.py +++ /dev/null @@ -1,21 +0,0 @@ -from datetime import datetime, timezone -from uuid import uuid4 - -from sqlalchemy import UUID, Column, DateTime, String, ForeignKey -from sqlalchemy.orm import relationship - -from cognee.infrastructure.databases.relational import Base - - -class Metadata(Base): - __tablename__ = "metadata_table" - - id = Column(UUID, primary_key=True, default=uuid4) - metadata_repr = Column(String) - metadata_source = Column(String) - - created_at = Column(DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)) - updated_at = Column(DateTime(timezone=True), onupdate=lambda: datetime.now(timezone.utc)) - - data_id = Column(UUID, ForeignKey("data.id", ondelete="CASCADE"), primary_key=False) - data = relationship("Data", back_populates="metadata_relationship") diff --git a/cognee/modules/data/operations/delete_metadata.py b/cognee/modules/data/operations/delete_metadata.py deleted file mode 100644 index df94f52ed..000000000 --- a/cognee/modules/data/operations/delete_metadata.py +++ /dev/null @@ -1,19 +0,0 @@ -import warnings -from uuid import UUID - -from sqlalchemy import select - -from cognee.infrastructure.databases.relational import get_relational_engine - -from ..models.Metadata import Metadata - - -async def delete_metadata(metadata_id: UUID): - db_engine = get_relational_engine() - async with db_engine.get_async_session() as session: - metadata = await session.get(Metadata, metadata_id) - if metadata is None: - warnings.warn(f"metadata for metadata_id: {metadata_id} not found") - - session.delete(metadata) - session.commit() diff --git a/cognee/modules/data/operations/get_metadata.py b/cognee/modules/data/operations/get_metadata.py deleted file mode 100644 index f827c47c3..000000000 --- a/cognee/modules/data/operations/get_metadata.py +++ /dev/null @@ -1,17 +0,0 @@ -import json -from uuid import UUID - -from sqlalchemy import select - -from cognee.infrastructure.databases.relational import get_relational_engine - -from ..models.Metadata import Metadata - - -async def get_metadata(metadata_id: UUID) -> Metadata: - db_engine = get_relational_engine() - - async with db_engine.get_async_session() as session: - metadata = await session.get(Metadata, metadata_id) - - return metadata diff --git a/cognee/modules/data/operations/write_metadata.py b/cognee/modules/data/operations/write_metadata.py deleted file mode 100644 index 3c2c839c2..000000000 --- a/cognee/modules/data/operations/write_metadata.py +++ /dev/null @@ -1,65 +0,0 @@ -import inspect -import json -import re -import warnings -from uuid import UUID -from sqlalchemy import select -from typing import Any, BinaryIO, Union - -from cognee.infrastructure.databases.relational import get_relational_engine -from cognee.infrastructure.files.utils.get_file_metadata import FileMetadata -from ..models.Metadata import Metadata - - -async def write_metadata( - data_item: Union[BinaryIO, str, Any], data_id: UUID, file_metadata: FileMetadata -) -> UUID: - metadata_dict = get_metadata_dict(data_item, file_metadata) - db_engine = get_relational_engine() - async with db_engine.get_async_session() as session: - metadata = ( - await session.execute(select(Metadata).filter(Metadata.data_id == data_id)) - ).scalar_one_or_none() - - if metadata is not None: - metadata.metadata_repr = json.dumps(metadata_dict) - metadata.metadata_source = parse_type(type(data_item)) - await session.merge(metadata) - else: - metadata = Metadata( - id=data_id, - metadata_repr=json.dumps(metadata_dict), - metadata_source=parse_type(type(data_item)), - data_id=data_id, - ) - session.add(metadata) - - await session.commit() - - -def parse_type(type_: Any) -> str: - pattern = r".+'([\w_\.]+)'" - match = re.search(pattern, str(type_)) - if match: - return match.group(1) - else: - raise Exception(f"type: {type_} could not be parsed") - - -def get_metadata_dict( - data_item: Union[BinaryIO, str, Any], file_metadata: FileMetadata -) -> dict[str, Any]: - if isinstance(data_item, str): - return file_metadata - elif isinstance(data_item, BinaryIO): - return file_metadata - elif hasattr(data_item, "dict") and inspect.ismethod(getattr(data_item, "dict")): - return {**file_metadata, **data_item.dict()} - else: - warnings.warn( - f"metadata of type {type(data_item)}: {str(data_item)[:20]}... does not have dict method. Defaulting to string method" - ) - try: - return {**dict(file_metadata), "content": str(data_item)} - except Exception as e: - raise Exception(f"Could not cast metadata to string: {e}") diff --git a/cognee/modules/data/processing/document_types/AudioDocument.py b/cognee/modules/data/processing/document_types/AudioDocument.py index b7d2476b4..75152fd3d 100644 --- a/cognee/modules/data/processing/document_types/AudioDocument.py +++ b/cognee/modules/data/processing/document_types/AudioDocument.py @@ -13,14 +13,14 @@ class AudioDocument(Document): result = get_llm_client().create_transcript(self.raw_data_location) return result.text - def read(self, chunk_size: int, chunker: str, max_tokens: Optional[int] = None): + def read(self, chunk_size: int, chunker: str, max_chunk_tokens: int): # Transcribe the audio file text = self.create_transcript() chunker_func = ChunkerConfig.get_chunker(chunker) chunker = chunker_func( - self, chunk_size=chunk_size, get_text=lambda: [text], max_tokens=max_tokens + self, chunk_size=chunk_size, get_text=lambda: [text], max_chunk_tokens=max_chunk_tokens ) yield from chunker.read() diff --git a/cognee/modules/data/processing/document_types/Document.py b/cognee/modules/data/processing/document_types/Document.py index 7ecdf289e..76ff1e045 100644 --- a/cognee/modules/data/processing/document_types/Document.py +++ b/cognee/modules/data/processing/document_types/Document.py @@ -7,9 +7,9 @@ from cognee.infrastructure.engine import DataPoint class Document(DataPoint): name: str raw_data_location: str - metadata_id: UUID + external_metadata: Optional[str] mime_type: str _metadata: dict = {"index_fields": ["name"], "type": "Document"} - def read(self, chunk_size: int, chunker=str, max_tokens: Optional[int] = None) -> str: + def read(self, chunk_size: int, chunker=str, max_chunk_tokens: Optional[int] = None) -> str: pass diff --git a/cognee/modules/data/processing/document_types/ImageDocument.py b/cognee/modules/data/processing/document_types/ImageDocument.py index c055b8253..5f4cb287c 100644 --- a/cognee/modules/data/processing/document_types/ImageDocument.py +++ b/cognee/modules/data/processing/document_types/ImageDocument.py @@ -13,13 +13,13 @@ class ImageDocument(Document): result = get_llm_client().transcribe_image(self.raw_data_location) return result.choices[0].message.content - def read(self, chunk_size: int, chunker: str, max_tokens: Optional[int] = None): + def read(self, chunk_size: int, chunker: str, max_chunk_tokens: int): # Transcribe the image file text = self.transcribe_image() chunker_func = ChunkerConfig.get_chunker(chunker) chunker = chunker_func( - self, chunk_size=chunk_size, get_text=lambda: [text], max_tokens=max_tokens + self, chunk_size=chunk_size, get_text=lambda: [text], max_chunk_tokens=max_chunk_tokens ) yield from chunker.read() diff --git a/cognee/modules/data/processing/document_types/PdfDocument.py b/cognee/modules/data/processing/document_types/PdfDocument.py index 768f91264..8273e0177 100644 --- a/cognee/modules/data/processing/document_types/PdfDocument.py +++ b/cognee/modules/data/processing/document_types/PdfDocument.py @@ -9,7 +9,7 @@ from .Document import Document class PdfDocument(Document): type: str = "pdf" - def read(self, chunk_size: int, chunker: str, max_tokens: Optional[int] = None): + def read(self, chunk_size: int, chunker: str, max_chunk_tokens: int): file = PdfReader(self.raw_data_location) def get_text(): @@ -19,7 +19,7 @@ class PdfDocument(Document): chunker_func = ChunkerConfig.get_chunker(chunker) chunker = chunker_func( - self, chunk_size=chunk_size, get_text=get_text, max_tokens=max_tokens + self, chunk_size=chunk_size, get_text=get_text, max_chunk_tokens=max_chunk_tokens ) yield from chunker.read() diff --git a/cognee/modules/data/processing/document_types/TextDocument.py b/cognee/modules/data/processing/document_types/TextDocument.py index b62ccd56e..6bef959de 100644 --- a/cognee/modules/data/processing/document_types/TextDocument.py +++ b/cognee/modules/data/processing/document_types/TextDocument.py @@ -7,7 +7,7 @@ from .Document import Document class TextDocument(Document): type: str = "text" - def read(self, chunk_size: int, chunker: str, max_tokens: Optional[int] = None): + def read(self, chunk_size: int, chunker: str, max_chunk_tokens: int): def get_text(): with open(self.raw_data_location, mode="r", encoding="utf-8") as file: while True: @@ -21,7 +21,7 @@ class TextDocument(Document): chunker_func = ChunkerConfig.get_chunker(chunker) chunker = chunker_func( - self, chunk_size=chunk_size, get_text=get_text, max_tokens=max_tokens + self, chunk_size=chunk_size, get_text=get_text, max_chunk_tokens=max_chunk_tokens ) yield from chunker.read() diff --git a/cognee/modules/data/processing/document_types/UnstructuredDocument.py b/cognee/modules/data/processing/document_types/UnstructuredDocument.py index 1c291d0dc..254958d14 100644 --- a/cognee/modules/data/processing/document_types/UnstructuredDocument.py +++ b/cognee/modules/data/processing/document_types/UnstructuredDocument.py @@ -10,7 +10,7 @@ from .Document import Document class UnstructuredDocument(Document): type: str = "unstructured" - def read(self, chunk_size: int, chunker: str, max_tokens: Optional[int] = None) -> str: + def read(self, chunk_size: int, chunker: str, max_chunk_tokens: int) -> str: def get_text(): try: from unstructured.partition.auto import partition @@ -29,6 +29,8 @@ class UnstructuredDocument(Document): yield text - chunker = TextChunker(self, chunk_size=chunk_size, get_text=get_text, max_tokens=max_tokens) + chunker = TextChunker( + self, chunk_size=chunk_size, get_text=get_text, max_chunk_tokens=max_chunk_tokens + ) yield from chunker.read() diff --git a/cognee/modules/graph/cognee_graph/CogneeGraph.py b/cognee/modules/graph/cognee_graph/CogneeGraph.py index 491f83b5a..f9d9a74ec 100644 --- a/cognee/modules/graph/cognee_graph/CogneeGraph.py +++ b/cognee/modules/graph/cognee_graph/CogneeGraph.py @@ -113,8 +113,10 @@ class CogneeGraph(CogneeAbstractGraph): except (ValueError, TypeError) as e: print(f"Error projecting graph: {e}") + raise e except Exception as ex: print(f"Unexpected error: {ex}") + raise ex async def map_vector_distances_to_graph_nodes(self, node_distances) -> None: for category, scored_results in node_distances.items(): diff --git a/cognee/modules/graph/utils/get_graph_from_model.py b/cognee/modules/graph/utils/get_graph_from_model.py index f4d2ed77a..2798b48b6 100644 --- a/cognee/modules/graph/utils/get_graph_from_model.py +++ b/cognee/modules/graph/utils/get_graph_from_model.py @@ -8,7 +8,6 @@ async def get_graph_from_model( added_nodes: dict, added_edges: dict, visited_properties: dict = None, - only_root=False, include_root=True, ): if str(data_point.id) in added_nodes: @@ -98,7 +97,7 @@ async def get_graph_from_model( ) added_edges[str(edge_key)] = True - if str(field_value.id) in added_nodes or only_root: + if str(field_value.id) in added_nodes: continue property_nodes, property_edges = await get_graph_from_model( diff --git a/cognee/modules/retrieval/description_to_codepart_search.py b/cognee/modules/retrieval/description_to_codepart_search.py index 243fdbde3..3e0728a3d 100644 --- a/cognee/modules/retrieval/description_to_codepart_search.py +++ b/cognee/modules/retrieval/description_to_codepart_search.py @@ -62,6 +62,8 @@ async def code_description_to_code_part( "Search initiated by user %s with query: '%s' and top_k: %d", user.id, query, top_k ) + context_from_documents = "" + try: if include_docs: search_results = await search(SearchType.INSIGHTS, query_text=query) @@ -131,14 +133,7 @@ async def code_description_to_code_part( len(code_pieces_to_return), ) - context = "" - for code_piece in code_pieces_to_return: - context = context + code_piece.get_attribute("source_code") - - if include_docs: - context = context_from_documents + context - - return context + return code_pieces_to_return, context_from_documents except Exception as exec_error: logging.error( diff --git a/cognee/modules/settings/get_settings.py b/cognee/modules/settings/get_settings.py index 93fd67cff..063c18971 100644 --- a/cognee/modules/settings/get_settings.py +++ b/cognee/modules/settings/get_settings.py @@ -13,6 +13,7 @@ class ModelName(Enum): openai = "openai" ollama = "ollama" anthropic = "anthropic" + gemini = "gemini" class LLMConfig(BaseModel): @@ -72,6 +73,10 @@ def get_settings() -> SettingsDict: "value": "anthropic", "label": "Anthropic", }, + { + "value": "gemini", + "label": "Gemini", + }, ] return SettingsDict.model_validate( @@ -136,6 +141,12 @@ def get_settings() -> SettingsDict: "label": "Claude 3 Haiku", }, ], + "gemini": [ + { + "value": "gemini-2.0-flash-exp", + "label": "Gemini 2.0 Flash", + }, + ], }, }, vector_db={ diff --git a/cognee/shared/utils.py b/cognee/shared/utils.py index affd92c87..4e5523fd2 100644 --- a/cognee/shared/utils.py +++ b/cognee/shared/utils.py @@ -10,10 +10,6 @@ import graphistry import networkx as nx import pandas as pd import matplotlib.pyplot as plt -import tiktoken -import nltk -import base64 - import logging import sys @@ -23,13 +19,40 @@ from cognee.infrastructure.databases.graph import get_graph_engine from uuid import uuid4 import pathlib - +import nltk from cognee.shared.exceptions import IngestionError # Analytics Proxy Url, currently hosted by Vercel proxy_url = "https://test.prometh.ai" +def get_entities(tagged_tokens): + nltk.download("maxent_ne_chunker", quiet=True) + from nltk.chunk import ne_chunk + + return ne_chunk(tagged_tokens) + + +def extract_pos_tags(sentence): + """Extract Part-of-Speech (POS) tags for words in a sentence.""" + + # Ensure that the necessary NLTK resources are downloaded + nltk.download("words", quiet=True) + nltk.download("punkt", quiet=True) + nltk.download("averaged_perceptron_tagger", quiet=True) + + from nltk.tag import pos_tag + from nltk.tokenize import word_tokenize + + # Tokenize the sentence into words + tokens = word_tokenize(sentence) + + # Tag each word with its corresponding POS tag + pos_tags = pos_tag(tokens) + + return pos_tags + + def get_anonymous_id(): """Creates or reads a anonymous user id""" home_dir = str(pathlib.Path(pathlib.Path(__file__).parent.parent.parent.resolve())) @@ -75,15 +98,6 @@ def send_telemetry(event_name: str, user_id, additional_properties: dict = {}): print(f"Error sending telemetry through proxy: {response.status_code}") -def num_tokens_from_string(string: str, encoding_name: str) -> int: - """Returns the number of tokens in a text string.""" - - # tiktoken.get_encoding("cl100k_base") - encoding = tiktoken.encoding_for_model(encoding_name) - num_tokens = len(encoding.encode(string)) - return num_tokens - - def get_file_content_hash(file_obj: Union[str, BinaryIO]) -> str: h = hashlib.md5() @@ -109,34 +123,6 @@ def get_file_content_hash(file_obj: Union[str, BinaryIO]) -> str: raise IngestionError(message=f"Failed to load data from {file}: {e}") -def trim_text_to_max_tokens(text: str, max_tokens: int, encoding_name: str) -> str: - """ - Trims the text so that the number of tokens does not exceed max_tokens. - - Args: - text (str): Original text string to be trimmed. - max_tokens (int): Maximum number of tokens allowed. - encoding_name (str): The name of the token encoding to use. - - Returns: - str: Trimmed version of text or original text if under the limit. - """ - # First check the number of tokens - num_tokens = num_tokens_from_string(text, encoding_name) - - # If the number of tokens is within the limit, return the text as is - if num_tokens <= max_tokens: - return text - - # If the number exceeds the limit, trim the text - # This is a simple trim, it may cut words in half; consider using word boundaries for a cleaner cut - encoded_text = tiktoken.get_encoding(encoding_name).encode(text) - trimmed_encoded_text = encoded_text[:max_tokens] - # Decoding the trimmed text - trimmed_text = tiktoken.get_encoding(encoding_name).decode(trimmed_encoded_text) - return trimmed_text - - def generate_color_palette(unique_layers): colormap = plt.cm.get_cmap("viridis", len(unique_layers)) colors = [colormap(i) for i in range(len(unique_layers))] @@ -243,33 +229,6 @@ async def render_graph( # return df.replace([np.inf, -np.inf, np.nan], None) -def get_entities(tagged_tokens): - nltk.download("maxent_ne_chunker", quiet=True) - from nltk.chunk import ne_chunk - - return ne_chunk(tagged_tokens) - - -def extract_pos_tags(sentence): - """Extract Part-of-Speech (POS) tags for words in a sentence.""" - - # Ensure that the necessary NLTK resources are downloaded - nltk.download("words", quiet=True) - nltk.download("punkt", quiet=True) - nltk.download("averaged_perceptron_tagger", quiet=True) - - from nltk.tag import pos_tag - from nltk.tokenize import word_tokenize - - # Tokenize the sentence into words - tokens = word_tokenize(sentence) - - # Tag each word with its corresponding POS tag - pos_tags = pos_tag(tokens) - - return pos_tags - - logging.basicConfig(level=logging.INFO) @@ -396,6 +355,7 @@ async def create_cognee_style_network_with_logo( from bokeh.embed import file_html from bokeh.resources import CDN + from bokeh.io import export_png logging.info("Converting graph to serializable format...") G = await convert_to_serializable_graph(G) @@ -445,13 +405,14 @@ async def create_cognee_style_network_with_logo( logging.info(f"Saving visualization to {output_filename}...") html_content = file_html(p, CDN, title) - with open(output_filename, "w") as f: + + home_dir = os.path.expanduser("~") + + # Construct the final output file path + output_filepath = os.path.join(home_dir, output_filename) + with open(output_filepath, "w") as f: f.write(html_content) - logging.info("Visualization complete.") - - if bokeh_object: - return p return html_content @@ -512,7 +473,7 @@ if __name__ == "__main__": G, output_filename="example_network.html", title="Example Cognee Network", - node_attribute="group", # Attribute to use for coloring nodes + label="group", # Attribute to use for coloring nodes layout_func=nx.spring_layout, # Layout function layout_scale=3.0, # Scale for the layout logo_alpha=0.2, diff --git a/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py b/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py index 4c058de18..7cab3f73d 100644 --- a/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py +++ b/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py @@ -10,7 +10,29 @@ from cognee.modules.chunking.models.DocumentChunk import DocumentChunk async def chunk_naive_llm_classifier( data_chunks: list[DocumentChunk], classification_model: Type[BaseModel] -): +) -> list[DocumentChunk]: + """ + Classifies a list of document chunks using a specified classification model and updates vector and graph databases with the classification results. + + Vector Database Structure: + - Collection Name: `classification` + - Payload Schema: + - uuid (str): Unique identifier for the classification. + - text (str): Text label of the classification. + - chunk_id (str): Identifier of the chunk associated with this classification. + - document_id (str): Identifier of the document associated with this classification. + + Graph Database Structure: + - Nodes: + - Represent document chunks, classification types, and classification subtypes. + - Edges: + - `is_media_type`: Links document chunks to their classification type. + - `is_subtype_of`: Links classification subtypes to their parent type. + - `is_classified_as`: Links document chunks to their classification subtypes. + Notes: + - The function assumes that vector and graph database engines (`get_vector_engine` and `get_graph_engine`) are properly initialized and accessible. + - Classification labels are processed to ensure uniqueness using UUIDs based on their values. + """ if len(data_chunks) == 0: return data_chunks diff --git a/cognee/tasks/chunks/chunk_by_paragraph.py b/cognee/tasks/chunks/chunk_by_paragraph.py index 24d566074..52f1f6674 100644 --- a/cognee/tasks/chunks/chunk_by_paragraph.py +++ b/cognee/tasks/chunks/chunk_by_paragraph.py @@ -1,8 +1,6 @@ -from typing import Any, Dict, Iterator, Optional, Union +from typing import Any, Dict, Iterator from uuid import NAMESPACE_OID, uuid5 -import tiktoken - from cognee.infrastructure.databases.vector import get_vector_engine from .chunk_by_sentence import chunk_by_sentence @@ -10,13 +8,19 @@ from .chunk_by_sentence import chunk_by_sentence def chunk_by_paragraph( data: str, - max_tokens: Optional[Union[int, float]] = None, + max_chunk_tokens, paragraph_length: int = 1024, batch_paragraphs: bool = True, ) -> Iterator[Dict[str, Any]]: """ Chunks text by paragraph while preserving exact text reconstruction capability. When chunks are joined with empty string "", they reproduce the original text exactly. + + Notes: + - Tokenization is handled using our tokenization adapters, ensuring compatibility with the vector engine's embedding model. + - If `batch_paragraphs` is False, each paragraph will be yielded as a separate chunk. + - Handles cases where paragraphs exceed the specified token or word limits by splitting them as needed. + - Remaining text at the end of the input will be yielded as a final chunk. """ current_chunk = "" current_word_count = 0 @@ -24,24 +28,17 @@ def chunk_by_paragraph( paragraph_ids = [] last_cut_type = None current_token_count = 0 - if not max_tokens: - max_tokens = float("inf") - - vector_engine = get_vector_engine() - embedding_model = vector_engine.embedding_engine.model - embedding_model = embedding_model.split("/")[-1] for paragraph_id, sentence, word_count, end_type in chunk_by_sentence( data, maximum_length=paragraph_length ): # Check if this sentence would exceed length limit - - tokenizer = tiktoken.encoding_for_model(embedding_model) - token_count = len(tokenizer.encode(sentence)) + embedding_engine = get_vector_engine().embedding_engine + token_count = embedding_engine.tokenizer.count_tokens(sentence) if current_word_count > 0 and ( current_word_count + word_count > paragraph_length - or current_token_count + token_count > max_tokens + or current_token_count + token_count > max_chunk_tokens ): # Yield current chunk chunk_dict = { diff --git a/cognee/tasks/chunks/chunk_by_sentence.py b/cognee/tasks/chunks/chunk_by_sentence.py index 128ed4047..7c8798927 100644 --- a/cognee/tasks/chunks/chunk_by_sentence.py +++ b/cognee/tasks/chunks/chunk_by_sentence.py @@ -1,9 +1,19 @@ -from uuid import uuid4 -from typing import Optional +from uuid import uuid4, UUID +from typing import Optional, Iterator, Tuple from .chunk_by_word import chunk_by_word -def chunk_by_sentence(data: str, maximum_length: Optional[int] = None): +def chunk_by_sentence( + data: str, maximum_length: Optional[int] = None +) -> Iterator[Tuple[UUID, str, int, Optional[str]]]: + """ + Splits the input text into sentences based on word-level processing, with optional sentence length constraints. + + Notes: + - Relies on the `chunk_by_word` function for word-level tokenization and classification. + - Ensures sentences within paragraphs are uniquely identifiable using UUIDs. + - Handles cases where the text ends mid-sentence by appending a special "sentence_cut" type. + """ sentence = "" paragraph_id = uuid4() word_count = 0 diff --git a/cognee/tasks/chunks/chunk_by_word.py b/cognee/tasks/chunks/chunk_by_word.py index c42d0cfa1..3a0d6911a 100644 --- a/cognee/tasks/chunks/chunk_by_word.py +++ b/cognee/tasks/chunks/chunk_by_word.py @@ -1,4 +1,6 @@ import re +from typing import Iterator, Tuple + SENTENCE_ENDINGS = r"[.;!?…]" PARAGRAPH_ENDINGS = r"[\n\r]" @@ -34,7 +36,7 @@ def is_real_paragraph_end(last_char: str, current_pos: int, text: str) -> bool: return False -def chunk_by_word(data: str): +def chunk_by_word(data: str) -> Iterator[Tuple[str, str]]: """ Chunks text into words and endings while preserving whitespace. Whitespace is included with the preceding word. diff --git a/cognee/tasks/chunks/query_chunks.py b/cognee/tasks/chunks/query_chunks.py index 5a6d4f666..c0023dbbd 100644 --- a/cognee/tasks/chunks/query_chunks.py +++ b/cognee/tasks/chunks/query_chunks.py @@ -3,11 +3,19 @@ from cognee.infrastructure.databases.vector import get_vector_engine async def query_chunks(query: str) -> list[dict]: """ + + Queries the vector database to retrieve chunks related to the given query string. + Parameters: - query (str): The query string to filter nodes by. Returns: - list(dict): A list of objects providing information about the chunks related to query. + + Notes: + - The function uses the `search` method of the vector engine to find matches. + - Limits the results to the top 5 matching chunks to balance performance and relevance. + - Ensure that the vector database is properly initialized and contains the "document_chunk_text" collection. """ vector_engine = get_vector_engine() diff --git a/cognee/tasks/chunks/remove_disconnected_chunks.py b/cognee/tasks/chunks/remove_disconnected_chunks.py index 60443ecfc..723e4ca63 100644 --- a/cognee/tasks/chunks/remove_disconnected_chunks.py +++ b/cognee/tasks/chunks/remove_disconnected_chunks.py @@ -3,6 +3,14 @@ from cognee.modules.chunking.models.DocumentChunk import DocumentChunk async def remove_disconnected_chunks(data_chunks: list[DocumentChunk]) -> list[DocumentChunk]: + """ + Removes disconnected or obsolete chunks from the graph database. + + Notes: + - Obsolete chunks are defined as chunks with no "next_chunk" predecessor. + - Fully disconnected nodes are identified and deleted separately. + - This function assumes that the graph database is properly initialized and accessible. + """ graph_engine = await get_graph_engine() document_ids = set((data_chunk.document_id for data_chunk in data_chunks)) diff --git a/cognee/tasks/completion/graph_query_completion.py b/cognee/tasks/completion/graph_query_completion.py index b130d4f7b..16d27c721 100644 --- a/cognee/tasks/completion/graph_query_completion.py +++ b/cognee/tasks/completion/graph_query_completion.py @@ -6,6 +6,10 @@ from cognee.modules.retrieval.brute_force_triplet_search import brute_force_trip def retrieved_edges_to_string(retrieved_edges: list) -> str: + """ + Converts a list of retrieved graph edges into a human-readable string format. + + """ edge_strings = [] for edge in retrieved_edges: node1_string = edge.node1.attributes.get("text") or edge.node1.attributes.get("name") @@ -18,11 +22,19 @@ def retrieved_edges_to_string(retrieved_edges: list) -> str: async def graph_query_completion(query: str) -> list: """ + Executes a query on the graph database and retrieves a relevant completion based on the found data. + Parameters: - query (str): The query string to compute. Returns: - list: Answer to the query. + + Notes: + - The `brute_force_triplet_search` is used to retrieve relevant graph data. + - Prompts are dynamically rendered and provided to the LLM for contextual understanding. + - Ensure that the LLM client and graph database are properly configured and accessible. + """ found_triplets = await brute_force_triplet_search(query, top_k=5) diff --git a/cognee/tasks/completion/query_completion.py b/cognee/tasks/completion/query_completion.py index 12e5168b0..51599ad9c 100644 --- a/cognee/tasks/completion/query_completion.py +++ b/cognee/tasks/completion/query_completion.py @@ -6,11 +6,20 @@ from cognee.infrastructure.llm.prompts import read_query_prompt, render_prompt async def query_completion(query: str) -> list: """ + + Executes a query against a vector database and computes a relevant response using an LLM. + Parameters: - query (str): The query string to compute. Returns: - list: Answer to the query. + + Notes: + - Limits the search to the top 1 matching chunk for simplicity and relevance. + - Ensure that the vector database and LLM client are properly configured and accessible. + - The response model used for the LLM output is expected to be a string. + """ vector_engine = get_vector_engine() diff --git a/cognee/tasks/documents/check_permissions_on_documents.py b/cognee/tasks/documents/check_permissions_on_documents.py index 7d18cbf3a..41666f2b2 100644 --- a/cognee/tasks/documents/check_permissions_on_documents.py +++ b/cognee/tasks/documents/check_permissions_on_documents.py @@ -1,8 +1,19 @@ from cognee.modules.data.processing.document_types import Document from cognee.modules.users.permissions.methods import check_permission_on_documents +from typing import List -async def check_permissions_on_documents(documents: list[Document], user, permissions): +async def check_permissions_on_documents( + documents: list[Document], user, permissions +) -> List[Document]: + """ + Validates a user's permissions on a list of documents. + + Notes: + - This function assumes that `check_permission_on_documents` raises an exception if the permission check fails. + - It is designed to validate multiple permissions in a sequential manner for the same set of documents. + - Ensure that the `Document` and `user` objects conform to the expected structure and interfaces. + """ document_ids = [document.id for document in documents] for permission in permissions: diff --git a/cognee/tasks/documents/classify_documents.py b/cognee/tasks/documents/classify_documents.py index 118da5738..7211ebced 100644 --- a/cognee/tasks/documents/classify_documents.py +++ b/cognee/tasks/documents/classify_documents.py @@ -1,4 +1,5 @@ from cognee.modules.data.models import Data +import json from cognee.modules.data.processing.document_types import ( Document, PdfDocument, @@ -7,7 +8,6 @@ from cognee.modules.data.processing.document_types import ( TextDocument, UnstructuredDocument, ) -from cognee.modules.data.operations.get_metadata import get_metadata EXTENSION_TO_DOCUMENT_CLASS = { "pdf": PdfDocument, # Text documents @@ -50,16 +50,22 @@ EXTENSION_TO_DOCUMENT_CLASS = { async def classify_documents(data_documents: list[Data]) -> list[Document]: + """ + Classifies a list of data items into specific document types based on file extensions. + + Notes: + - The function relies on `get_metadata` to retrieve metadata information for each data item. + - Ensure the `Data` objects and their attributes (e.g., `extension`, `id`) are valid before calling this function. + """ documents = [] for data_item in data_documents: - metadata = await get_metadata(data_item.id) document = EXTENSION_TO_DOCUMENT_CLASS[data_item.extension]( id=data_item.id, title=f"{data_item.name}.{data_item.extension}", raw_data_location=data_item.raw_data_location, name=data_item.name, mime_type=data_item.mime_type, - metadata_id=metadata.id, + external_metadata=json.dumps(data_item.external_metadata, indent=4), ) documents.append(document) diff --git a/cognee/tasks/documents/extract_chunks_from_documents.py b/cognee/tasks/documents/extract_chunks_from_documents.py index 5ce224002..a65f32fc9 100644 --- a/cognee/tasks/documents/extract_chunks_from_documents.py +++ b/cognee/tasks/documents/extract_chunks_from_documents.py @@ -1,16 +1,46 @@ -from typing import Optional +from typing import AsyncGenerator from cognee.modules.data.processing.document_types.Document import Document +from sqlalchemy import select +from cognee.modules.data.models import Data +from cognee.infrastructure.databases.relational import get_relational_engine +from uuid import UUID + + +async def update_document_token_count(document_id: UUID, token_count: int) -> None: + db_engine = get_relational_engine() + async with db_engine.get_async_session() as session: + document_data_point = ( + await session.execute(select(Data).filter(Data.id == document_id)) + ).scalar_one_or_none() + + if document_data_point: + document_data_point.token_count = token_count + await session.merge(document_data_point) + await session.commit() + else: + raise ValueError(f"Document with id {document_id} not found.") async def extract_chunks_from_documents( documents: list[Document], + max_chunk_tokens: int, chunk_size: int = 1024, chunker="text_chunker", - max_tokens: Optional[int] = None, -): +) -> AsyncGenerator: + """ + Extracts chunks of data from a list of documents based on the specified chunking parameters. + + Notes: + - The `read` method of the `Document` class must be implemented to support the chunking operation. + - The `chunker` parameter determines the chunking logic and should align with the document type. + """ for document in documents: + document_token_count = 0 for document_chunk in document.read( - chunk_size=chunk_size, chunker=chunker, max_tokens=max_tokens + chunk_size=chunk_size, chunker=chunker, max_chunk_tokens=max_chunk_tokens ): + document_token_count += document_chunk.token_count yield document_chunk + + await update_document_token_count(document.id, document_token_count) diff --git a/cognee/tasks/graph/extract_graph_from_code.py b/cognee/tasks/graph/extract_graph_from_code.py index 8688b0af5..42375a683 100644 --- a/cognee/tasks/graph/extract_graph_from_code.py +++ b/cognee/tasks/graph/extract_graph_from_code.py @@ -1,12 +1,21 @@ import asyncio -from typing import Type +from typing import Type, List from pydantic import BaseModel from cognee.modules.data.extraction.knowledge_graph import extract_content_graph from cognee.modules.chunking.models.DocumentChunk import DocumentChunk from cognee.tasks.storage import add_data_points -async def extract_graph_from_code(data_chunks: list[DocumentChunk], graph_model: Type[BaseModel]): +async def extract_graph_from_code( + data_chunks: list[DocumentChunk], graph_model: Type[BaseModel] +) -> List[DocumentChunk]: + """ + Extracts a knowledge graph from the text content of document chunks using a specified graph model. + + Notes: + - The `extract_content_graph` function processes each chunk's text to extract graph information. + - Graph nodes are stored using the `add_data_points` function for later retrieval or analysis. + """ chunk_graphs = await asyncio.gather( *[extract_content_graph(chunk.text, graph_model) for chunk in data_chunks] ) diff --git a/cognee/tasks/graph/extract_graph_from_data.py b/cognee/tasks/graph/extract_graph_from_data.py index b05c55a9e..4f025a914 100644 --- a/cognee/tasks/graph/extract_graph_from_data.py +++ b/cognee/tasks/graph/extract_graph_from_data.py @@ -1,5 +1,5 @@ import asyncio -from typing import Type +from typing import Type, List from pydantic import BaseModel @@ -13,7 +13,14 @@ from cognee.modules.graph.utils import ( from cognee.tasks.storage import add_data_points -async def extract_graph_from_data(data_chunks: list[DocumentChunk], graph_model: Type[BaseModel]): +async def extract_graph_from_data( + data_chunks: list[DocumentChunk], graph_model: Type[BaseModel] +) -> List[DocumentChunk]: + """ + Extracts and integrates a knowledge graph from the text content of document chunks using a specified graph model. + + """ + chunk_graphs = await asyncio.gather( *[extract_content_graph(chunk.text, graph_model) for chunk in data_chunks] ) diff --git a/cognee/tasks/ingestion/__init__.py b/cognee/tasks/ingestion/__init__.py index 8b873b273..9c7180be2 100644 --- a/cognee/tasks/ingestion/__init__.py +++ b/cognee/tasks/ingestion/__init__.py @@ -1,6 +1,3 @@ -from .ingest_data import ingest_data -from .save_data_to_storage import save_data_to_storage from .save_data_item_to_storage import save_data_item_to_storage -from .save_data_item_with_metadata_to_storage import save_data_item_with_metadata_to_storage -from .ingest_data_with_metadata import ingest_data_with_metadata +from .ingest_data import ingest_data from .resolve_data_directories import resolve_data_directories diff --git a/cognee/tasks/ingestion/ingest_data.py b/cognee/tasks/ingestion/ingest_data.py index cf7dd38ad..04ce41517 100644 --- a/cognee/tasks/ingestion/ingest_data.py +++ b/cognee/tasks/ingestion/ingest_data.py @@ -1,16 +1,24 @@ +from typing import Any, List + import dlt import cognee.modules.ingestion as ingestion - -from uuid import UUID -from cognee.shared.utils import send_telemetry -from cognee.modules.users.models import User from cognee.infrastructure.databases.relational import get_relational_engine from cognee.modules.data.methods import create_dataset +from cognee.modules.data.models.DatasetData import DatasetData +from cognee.modules.users.models import User from cognee.modules.users.permissions.methods import give_permission_on_document +from cognee.shared.utils import send_telemetry from .get_dlt_destination import get_dlt_destination +from .save_data_item_to_storage import ( + save_data_item_to_storage, +) + +from typing import Union, BinaryIO +import inspect +import warnings -async def ingest_data(file_paths: list[str], dataset_name: str, user: User): +async def ingest_data(data: Any, dataset_name: str, user: User): destination = get_dlt_destination() pipeline = dlt.pipeline( @@ -18,12 +26,18 @@ async def ingest_data(file_paths: list[str], dataset_name: str, user: User): destination=destination, ) - @dlt.resource(standalone=True, merge_key="id") - async def data_resources(file_paths: str): + def get_external_metadata_dict(data_item: Union[BinaryIO, str, Any]) -> dict[str, Any]: + if hasattr(data_item, "dict") and inspect.ismethod(getattr(data_item, "dict")): + return {"metadata": data_item.dict(), "origin": str(type(data_item))} + else: + return {} + + @dlt.resource(standalone=True, primary_key="id", merge_key="id") + async def data_resources(file_paths: List[str], user: User): for file_path in file_paths: with open(file_path.replace("file://", ""), mode="rb") as file: classified_data = ingestion.classify(file) - data_id = ingestion.identify(classified_data) + data_id = ingestion.identify(classified_data, user) file_metadata = classified_data.get_metadata() yield { "id": data_id, @@ -31,71 +45,112 @@ async def ingest_data(file_paths: list[str], dataset_name: str, user: User): "file_path": file_metadata["file_path"], "extension": file_metadata["extension"], "mime_type": file_metadata["mime_type"], + "content_hash": file_metadata["content_hash"], + "owner_id": str(user.id), } - async def data_storing(table_name, dataset_name, user: User): - db_engine = get_relational_engine() + async def data_storing(data: Any, dataset_name: str, user: User): + if not isinstance(data, list): + # Convert data to a list as we work with lists further down. + data = [data] + + file_paths = [] + + # Process data + for data_item in data: + file_path = await save_data_item_to_storage(data_item, dataset_name) + + file_paths.append(file_path) + + # Ingest data and add metadata + with open(file_path.replace("file://", ""), mode="rb") as file: + classified_data = ingestion.classify(file) + + # data_id is the hash of file contents + owner id to avoid duplicate data + data_id = ingestion.identify(classified_data, user) + + file_metadata = classified_data.get_metadata() - async with db_engine.get_async_session() as session: - # Read metadata stored with dlt - files_metadata = await db_engine.get_all_data_from_table(table_name, dataset_name) - for file_metadata in files_metadata: from sqlalchemy import select + from cognee.modules.data.models import Data - dataset = await create_dataset(dataset_name, user.id, session) + db_engine = get_relational_engine() - data = ( - await session.execute(select(Data).filter(Data.id == UUID(file_metadata["id"]))) - ).scalar_one_or_none() + async with db_engine.get_async_session() as session: + dataset = await create_dataset(dataset_name, user.id, session) - if data is not None: - data.name = file_metadata["name"] - data.raw_data_location = file_metadata["file_path"] - data.extension = file_metadata["extension"] - data.mime_type = file_metadata["mime_type"] + # Check to see if data should be updated + data_point = ( + await session.execute(select(Data).filter(Data.id == data_id)) + ).scalar_one_or_none() - await session.merge(data) - await session.commit() - else: - data = Data( - id=UUID(file_metadata["id"]), - name=file_metadata["name"], - raw_data_location=file_metadata["file_path"], - extension=file_metadata["extension"], - mime_type=file_metadata["mime_type"], - ) + if data_point is not None: + data_point.name = file_metadata["name"] + data_point.raw_data_location = file_metadata["file_path"] + data_point.extension = file_metadata["extension"] + data_point.mime_type = file_metadata["mime_type"] + data_point.owner_id = user.id + data_point.content_hash = file_metadata["content_hash"] + data_point.external_metadata = (get_external_metadata_dict(data_item),) + await session.merge(data_point) + else: + data_point = Data( + id=data_id, + name=file_metadata["name"], + raw_data_location=file_metadata["file_path"], + extension=file_metadata["extension"], + mime_type=file_metadata["mime_type"], + owner_id=user.id, + content_hash=file_metadata["content_hash"], + external_metadata=get_external_metadata_dict(data_item), + token_count=-1, + ) + + # Check if data is already in dataset + dataset_data = ( + await session.execute( + select(DatasetData).filter( + DatasetData.data_id == data_id, DatasetData.dataset_id == dataset.id + ) + ) + ).scalar_one_or_none() + # If data is not present in dataset add it + if dataset_data is None: + dataset.data.append(data_point) - dataset.data.append(data) await session.commit() - await give_permission_on_document(user, UUID(file_metadata["id"]), "read") - await give_permission_on_document(user, UUID(file_metadata["id"]), "write") + await give_permission_on_document(user, data_id, "read") + await give_permission_on_document(user, data_id, "write") + return file_paths send_telemetry("cognee.add EXECUTION STARTED", user_id=user.id) db_engine = get_relational_engine() + file_paths = await data_storing(data, dataset_name, user) + # Note: DLT pipeline has its own event loop, therefore objects created in another event loop # can't be used inside the pipeline if db_engine.engine.dialect.name == "sqlite": # To use sqlite with dlt dataset_name must be set to "main". # Sqlite doesn't support schemas run_info = pipeline.run( - data_resources(file_paths), + data_resources(file_paths, user), table_name="file_metadata", dataset_name="main", write_disposition="merge", ) else: + # Data should be stored in the same schema to allow deduplication run_info = pipeline.run( - data_resources(file_paths), + data_resources(file_paths, user), table_name="file_metadata", - dataset_name=dataset_name, + dataset_name="public", write_disposition="merge", ) - await data_storing("file_metadata", dataset_name, user) send_telemetry("cognee.add EXECUTION COMPLETED", user_id=user.id) return run_info diff --git a/cognee/tasks/ingestion/ingest_data_with_metadata.py b/cognee/tasks/ingestion/ingest_data_with_metadata.py deleted file mode 100644 index 04396485c..000000000 --- a/cognee/tasks/ingestion/ingest_data_with_metadata.py +++ /dev/null @@ -1,145 +0,0 @@ -from typing import Any, List - -import dlt -import cognee.modules.ingestion as ingestion -from cognee.infrastructure.databases.relational import get_relational_engine -from cognee.modules.data.methods import create_dataset -from cognee.modules.data.models.DatasetData import DatasetData -from cognee.modules.users.models import User -from cognee.modules.users.permissions.methods import give_permission_on_document -from cognee.shared.utils import send_telemetry -from cognee.modules.data.operations.write_metadata import write_metadata -from .get_dlt_destination import get_dlt_destination -from .save_data_item_with_metadata_to_storage import ( - save_data_item_with_metadata_to_storage, -) - - -async def ingest_data_with_metadata(data: Any, dataset_name: str, user: User): - destination = get_dlt_destination() - - pipeline = dlt.pipeline( - pipeline_name="file_load_from_filesystem", - destination=destination, - ) - - @dlt.resource(standalone=True, primary_key="id", merge_key="id") - async def data_resources(file_paths: List[str], user: User): - for file_path in file_paths: - with open(file_path.replace("file://", ""), mode="rb") as file: - classified_data = ingestion.classify(file) - data_id = ingestion.identify(classified_data, user) - file_metadata = classified_data.get_metadata() - yield { - "id": data_id, - "name": file_metadata["name"], - "file_path": file_metadata["file_path"], - "extension": file_metadata["extension"], - "mime_type": file_metadata["mime_type"], - "content_hash": file_metadata["content_hash"], - "owner_id": str(user.id), - } - - async def data_storing(data: Any, dataset_name: str, user: User): - if not isinstance(data, list): - # Convert data to a list as we work with lists further down. - data = [data] - - file_paths = [] - - # Process data - for data_item in data: - file_path = await save_data_item_with_metadata_to_storage(data_item, dataset_name) - - file_paths.append(file_path) - - # Ingest data and add metadata - with open(file_path.replace("file://", ""), mode="rb") as file: - classified_data = ingestion.classify(file) - - # data_id is the hash of file contents + owner id to avoid duplicate data - data_id = ingestion.identify(classified_data, user) - - file_metadata = classified_data.get_metadata() - - from sqlalchemy import select - - from cognee.modules.data.models import Data - - db_engine = get_relational_engine() - - async with db_engine.get_async_session() as session: - dataset = await create_dataset(dataset_name, user.id, session) - - # Check to see if data should be updated - data_point = ( - await session.execute(select(Data).filter(Data.id == data_id)) - ).scalar_one_or_none() - - if data_point is not None: - data_point.name = file_metadata["name"] - data_point.raw_data_location = file_metadata["file_path"] - data_point.extension = file_metadata["extension"] - data_point.mime_type = file_metadata["mime_type"] - data_point.owner_id = user.id - data_point.content_hash = file_metadata["content_hash"] - await session.merge(data_point) - else: - data_point = Data( - id=data_id, - name=file_metadata["name"], - raw_data_location=file_metadata["file_path"], - extension=file_metadata["extension"], - mime_type=file_metadata["mime_type"], - owner_id=user.id, - content_hash=file_metadata["content_hash"], - ) - - # Check if data is already in dataset - dataset_data = ( - await session.execute( - select(DatasetData).filter( - DatasetData.data_id == data_id, DatasetData.dataset_id == dataset.id - ) - ) - ).scalar_one_or_none() - # If data is not present in dataset add it - if dataset_data is None: - dataset.data.append(data_point) - - await session.commit() - await write_metadata(data_item, data_point.id, file_metadata) - - await give_permission_on_document(user, data_id, "read") - await give_permission_on_document(user, data_id, "write") - return file_paths - - send_telemetry("cognee.add EXECUTION STARTED", user_id=user.id) - - db_engine = get_relational_engine() - - file_paths = await data_storing(data, dataset_name, user) - - # Note: DLT pipeline has its own event loop, therefore objects created in another event loop - # can't be used inside the pipeline - if db_engine.engine.dialect.name == "sqlite": - # To use sqlite with dlt dataset_name must be set to "main". - # Sqlite doesn't support schemas - run_info = pipeline.run( - data_resources(file_paths, user), - table_name="file_metadata", - dataset_name="main", - write_disposition="merge", - ) - else: - # Data should be stored in the same schema to allow deduplication - run_info = pipeline.run( - data_resources(file_paths, user), - table_name="file_metadata", - dataset_name="public", - write_disposition="merge", - ) - - send_telemetry("cognee.add EXECUTION COMPLETED", user_id=user.id) - - return run_info diff --git a/cognee/tasks/ingestion/save_data_item_to_storage.py b/cognee/tasks/ingestion/save_data_item_to_storage.py index 9191f7ebc..3f9d572c9 100644 --- a/cognee/tasks/ingestion/save_data_item_to_storage.py +++ b/cognee/tasks/ingestion/save_data_item_to_storage.py @@ -1,12 +1,18 @@ -from typing import Union, BinaryIO +from typing import Union, BinaryIO, Any from cognee.modules.ingestion.exceptions import IngestionError from cognee.modules.ingestion import save_data_to_file -def save_data_item_to_storage(data_item: Union[BinaryIO, str], dataset_name: str) -> str: +async def save_data_item_to_storage(data_item: Union[BinaryIO, str, Any], dataset_name: str) -> str: + if "llama_index" in str(type(data_item)): + # Dynamic import is used because the llama_index module is optional. + from .transform_data import get_data_from_llama_index + + file_path = get_data_from_llama_index(data_item, dataset_name) + # data is a file object coming from upload. - if hasattr(data_item, "file"): + elif hasattr(data_item, "file"): file_path = save_data_to_file(data_item.file, filename=data_item.filename) elif isinstance(data_item, str): diff --git a/cognee/tasks/ingestion/save_data_item_with_metadata_to_storage.py b/cognee/tasks/ingestion/save_data_item_with_metadata_to_storage.py deleted file mode 100644 index 92697abb7..000000000 --- a/cognee/tasks/ingestion/save_data_item_with_metadata_to_storage.py +++ /dev/null @@ -1,30 +0,0 @@ -from typing import Union, BinaryIO, Any - -from cognee.modules.ingestion.exceptions import IngestionError -from cognee.modules.ingestion import save_data_to_file - - -async def save_data_item_with_metadata_to_storage( - data_item: Union[BinaryIO, str, Any], dataset_name: str -) -> str: - if "llama_index" in str(type(data_item)): - # Dynamic import is used because the llama_index module is optional. - from .transform_data import get_data_from_llama_index - - file_path = get_data_from_llama_index(data_item, dataset_name) - - # data is a file object coming from upload. - elif hasattr(data_item, "file"): - file_path = save_data_to_file(data_item.file, filename=data_item.filename) - - elif isinstance(data_item, str): - # data is a file path - if data_item.startswith("file://") or data_item.startswith("/"): - file_path = data_item.replace("file://", "") - # data is text - else: - file_path = save_data_to_file(data_item) - else: - raise IngestionError(message=f"Data type not supported: {type(data_item)}") - - return file_path diff --git a/cognee/tasks/ingestion/save_data_to_storage.py b/cognee/tasks/ingestion/save_data_to_storage.py deleted file mode 100644 index a56857261..000000000 --- a/cognee/tasks/ingestion/save_data_to_storage.py +++ /dev/null @@ -1,16 +0,0 @@ -from typing import Union, BinaryIO -from cognee.tasks.ingestion.save_data_item_to_storage import save_data_item_to_storage - - -def save_data_to_storage(data: Union[BinaryIO, str], dataset_name) -> list[str]: - if not isinstance(data, list): - # Convert data to a list as we work with lists further down. - data = [data] - - file_paths = [] - - for data_item in data: - file_path = save_data_item_to_storage(data_item, dataset_name) - file_paths.append(file_path) - - return file_paths diff --git a/cognee/tasks/repo_processor/get_non_code_files.py b/cognee/tasks/repo_processor/get_non_code_files.py index 12f32e841..add991239 100644 --- a/cognee/tasks/repo_processor/get_non_code_files.py +++ b/cognee/tasks/repo_processor/get_non_code_files.py @@ -8,7 +8,6 @@ from cognee.modules.data.methods import get_datasets from cognee.modules.data.methods.get_dataset_data import get_dataset_data from cognee.modules.data.methods.get_datasets_by_name import get_datasets_by_name from cognee.modules.data.models import Data -from cognee.modules.data.operations.write_metadata import write_metadata from cognee.modules.ingestion.data_types import BinaryData from cognee.modules.users.methods import get_default_user from cognee.shared.CodeGraphEntities import Repository diff --git a/cognee/tasks/repo_processor/get_source_code_chunks.py b/cognee/tasks/repo_processor/get_source_code_chunks.py index 82fa46cf0..5607c6c37 100644 --- a/cognee/tasks/repo_processor/get_source_code_chunks.py +++ b/cognee/tasks/repo_processor/get_source_code_chunks.py @@ -3,33 +3,32 @@ from typing import AsyncGenerator, Generator from uuid import NAMESPACE_OID, uuid5 import parso -import tiktoken from cognee.infrastructure.databases.vector import get_vector_engine from cognee.infrastructure.engine import DataPoint from cognee.shared.CodeGraphEntities import CodeFile, CodePart, SourceCodeChunk +from cognee.infrastructure.llm import get_max_chunk_tokens logger = logging.getLogger(__name__) -def _count_tokens(tokenizer: tiktoken.Encoding, source_code: str) -> int: - return len(tokenizer.encode(source_code)) - - def _get_naive_subchunk_token_counts( - tokenizer: tiktoken.Encoding, source_code: str, max_subchunk_tokens: int = 8000 + source_code: str, max_subchunk_tokens ) -> list[tuple[str, int]]: """Splits source code into subchunks of up to max_subchunk_tokens and counts tokens.""" - token_ids = tokenizer.encode(source_code) + tokenizer = get_vector_engine().embedding_engine.tokenizer + token_ids = tokenizer.extract_tokens(source_code) subchunk_token_counts = [] for start_idx in range(0, len(token_ids), max_subchunk_tokens): subchunk_token_ids = token_ids[start_idx : start_idx + max_subchunk_tokens] token_count = len(subchunk_token_ids) + # Note: This can't work with Gemini embeddings as they keep their method of encoding text + # to tokens hidden and don't offer a decoder + # TODO: Add support for different tokenizers for this function subchunk = "".join( - tokenizer.decode_single_token_bytes(token_id).decode("utf-8", errors="replace") - for token_id in subchunk_token_ids + tokenizer.decode_single_token(token_id) for token_id in subchunk_token_ids ) subchunk_token_counts.append((subchunk, token_count)) @@ -37,15 +36,14 @@ def _get_naive_subchunk_token_counts( def _get_subchunk_token_counts( - tokenizer: tiktoken.Encoding, source_code: str, - max_subchunk_tokens: int = 8000, + max_subchunk_tokens, depth: int = 0, max_depth: int = 100, ) -> list[tuple[str, int]]: """Splits source code into subchunk and counts tokens for each subchunk.""" if depth > max_depth: - return _get_naive_subchunk_token_counts(tokenizer, source_code, max_subchunk_tokens) + return _get_naive_subchunk_token_counts(source_code, max_subchunk_tokens) try: module = parso.parse(source_code) @@ -64,7 +62,8 @@ def _get_subchunk_token_counts( subchunk_token_counts = [] for child in module.children: subchunk = child.get_code() - token_count = _count_tokens(tokenizer, subchunk) + tokenizer = get_vector_engine().embedding_engine.tokenizer + token_count = tokenizer.count_tokens(subchunk) if token_count == 0: continue @@ -75,13 +74,13 @@ def _get_subchunk_token_counts( if child.type == "string": subchunk_token_counts.extend( - _get_naive_subchunk_token_counts(tokenizer, subchunk, max_subchunk_tokens) + _get_naive_subchunk_token_counts(subchunk, max_subchunk_tokens) ) continue subchunk_token_counts.extend( _get_subchunk_token_counts( - tokenizer, subchunk, max_subchunk_tokens, depth=depth + 1, max_depth=max_depth + subchunk, max_subchunk_tokens, depth=depth + 1, max_depth=max_depth ) ) @@ -89,7 +88,7 @@ def _get_subchunk_token_counts( def _get_chunk_source_code( - code_token_counts: list[tuple[str, int]], overlap: float, max_tokens: int + code_token_counts: list[tuple[str, int]], overlap: float ) -> tuple[list[tuple[str, int]], str]: """Generates a chunk of source code from tokenized subchunks with overlap handling.""" current_count = 0 @@ -99,16 +98,16 @@ def _get_chunk_source_code( for i, (child_code, token_count) in enumerate(code_token_counts): current_count += token_count cumulative_counts.append(current_count) - if current_count > max_tokens: + if current_count > get_max_chunk_tokens(): break current_source_code += f"\n{child_code}" - if current_count <= max_tokens: + if current_count <= get_max_chunk_tokens(): return [], current_source_code.strip() cutoff = 1 for i, cum_count in enumerate(cumulative_counts): - if cum_count > (1 - overlap) * max_tokens: + if cum_count > (1 - overlap) * get_max_chunk_tokens(): break cutoff = i @@ -117,29 +116,23 @@ def _get_chunk_source_code( def get_source_code_chunks_from_code_part( code_file_part: CodePart, - max_tokens: int = 8192, overlap: float = 0.25, - granularity: float = 0.1, - model_name: str = "text-embedding-3-large", + granularity: float = 0.09, ) -> Generator[SourceCodeChunk, None, None]: """Yields source code chunks from a CodePart object, with configurable token limits and overlap.""" if not code_file_part.source_code: logger.error(f"No source code in CodeFile {code_file_part.id}") return - vector_engine = get_vector_engine() - embedding_model = vector_engine.embedding_engine.model - model_name = embedding_model.split("/")[-1] - tokenizer = tiktoken.encoding_for_model(model_name) - max_subchunk_tokens = max(1, int(granularity * max_tokens)) + max_subchunk_tokens = max(1, int(granularity * get_max_chunk_tokens())) subchunk_token_counts = _get_subchunk_token_counts( - tokenizer, code_file_part.source_code, max_subchunk_tokens + code_file_part.source_code, max_subchunk_tokens ) previous_chunk = None while subchunk_token_counts: subchunk_token_counts, chunk_source_code = _get_chunk_source_code( - subchunk_token_counts, overlap, max_tokens + subchunk_token_counts, overlap ) if not chunk_source_code: continue @@ -157,7 +150,6 @@ async def get_source_code_chunks( data_points: list[DataPoint], ) -> AsyncGenerator[list[DataPoint], None]: """Processes code graph datapoints, create SourceCodeChink datapoints.""" - # TODO: Add support for other embedding models, with max_token mapping for data_point in data_points: try: yield data_point @@ -173,5 +165,7 @@ async def get_source_code_chunks( yield source_code_chunk except Exception as e: logger.error(f"Error processing code part: {e}") + raise e except Exception as e: logger.error(f"Error processing data point: {e}") + raise e diff --git a/cognee/tasks/storage/add_data_points.py b/cognee/tasks/storage/add_data_points.py index 21cc5a3c2..540575b5b 100644 --- a/cognee/tasks/storage/add_data_points.py +++ b/cognee/tasks/storage/add_data_points.py @@ -5,7 +5,7 @@ from cognee.modules.graph.utils import deduplicate_nodes_and_edges, get_graph_fr from .index_data_points import index_data_points -async def add_data_points(data_points: list[DataPoint], only_root=False): +async def add_data_points(data_points: list[DataPoint]): nodes = [] edges = [] @@ -20,7 +20,6 @@ async def add_data_points(data_points: list[DataPoint], only_root=False): added_nodes=added_nodes, added_edges=added_edges, visited_properties=visited_properties, - only_root=only_root, ) for data_point in data_points ] diff --git a/cognee/tasks/storage/descriptive_metrics.py b/cognee/tasks/storage/descriptive_metrics.py new file mode 100644 index 000000000..f7a854e53 --- /dev/null +++ b/cognee/tasks/storage/descriptive_metrics.py @@ -0,0 +1,48 @@ +from cognee.infrastructure.engine import DataPoint +from cognee.modules.data.processing.document_types import Document +from cognee.infrastructure.databases.relational import get_relational_engine +from sqlalchemy import select +from sqlalchemy.sql import func +from cognee.modules.data.models import Data +from cognee.modules.data.models import GraphMetrics +import uuid +from cognee.infrastructure.databases.graph import get_graph_engine + + +async def fetch_token_count(db_engine) -> int: + """ + Fetches and sums token counts from the database. + + Returns: + int: The total number of tokens across all documents. + """ + + async with db_engine.get_async_session() as session: + token_count_sum = await session.execute(select(func.sum(Data.token_count))) + token_count_sum = token_count_sum.scalar() + + return token_count_sum + + +async def calculate_graph_metrics(graph_data): + nodes, edges = graph_data + graph_metrics = { + "num_nodes": len(nodes), + "num_edges": len(edges), + } + return graph_metrics + + +async def store_descriptive_metrics(data_points: list[DataPoint]): + db_engine = get_relational_engine() + graph_engine = await get_graph_engine() + graph_data = await graph_engine.get_graph_data() + + token_count_sum = await fetch_token_count(db_engine) + graph_metrics = await calculate_graph_metrics(graph_data) + + table_name = "graph_metrics_table" + metrics_dict = {"id": uuid.uuid4(), "num_tokens": token_count_sum} | graph_metrics + + await db_engine.insert_data(table_name, metrics_dict) + return data_points diff --git a/cognee/tasks/temporal_awareness/graphiti_model.py b/cognee/tasks/temporal_awareness/graphiti_model.py new file mode 100644 index 000000000..fa255b542 --- /dev/null +++ b/cognee/tasks/temporal_awareness/graphiti_model.py @@ -0,0 +1,12 @@ +from cognee.infrastructure.engine import DataPoint +from typing import ClassVar, Optional + + +class GraphitiNode(DataPoint): + __tablename__ = "graphitinode" + content: Optional[str] = None + name: Optional[str] = None + summary: Optional[str] = None + pydantic_type: str = "GraphitiNode" + + _metadata: dict = {"index_fields": ["name", "summary", "content"], "type": "GraphitiNode"} diff --git a/cognee/tasks/temporal_awareness/index_graphiti_objects.py b/cognee/tasks/temporal_awareness/index_graphiti_objects.py new file mode 100644 index 000000000..1fbc1f41a --- /dev/null +++ b/cognee/tasks/temporal_awareness/index_graphiti_objects.py @@ -0,0 +1,86 @@ +import logging +from collections import Counter + +from cognee.tasks.temporal_awareness.graphiti_model import GraphitiNode +from cognee.infrastructure.databases.vector import get_vector_engine +from cognee.infrastructure.databases.graph import get_graph_engine +from cognee.modules.graph.models.EdgeType import EdgeType + + +async def index_and_transform_graphiti_nodes_and_edges(): + try: + created_indexes = {} + index_points = {} + + vector_engine = get_vector_engine() + graph_engine = await get_graph_engine() + except Exception as e: + logging.error("Failed to initialize engines: %s", e) + raise RuntimeError("Initialization error") from e + + await graph_engine.query("""MATCH (n) SET n.id = n.uuid RETURN n""") + await graph_engine.query( + """MATCH (source)-[r]->(target) SET r.source_node_id = source.id, + r.target_node_id = target.id, + r.relationship_name = type(r) RETURN r""" + ) + await graph_engine.query("""MATCH (n) SET n.text = COALESCE(n.summary, n.content) RETURN n""") + + nodes_data, edges_data = await graph_engine.get_model_independent_graph_data() + + for node_data in nodes_data[0]["nodes"]: + graphiti_node = GraphitiNode( + **{key: node_data[key] for key in ("content", "name", "summary") if key in node_data}, + id=node_data.get("uuid"), + ) + + data_point_type = type(graphiti_node) + + for field_name in graphiti_node._metadata["index_fields"]: + index_name = f"{data_point_type.__tablename__}.{field_name}" + + if index_name not in created_indexes: + await vector_engine.create_vector_index(data_point_type.__tablename__, field_name) + created_indexes[index_name] = True + + if index_name not in index_points: + index_points[index_name] = [] + + if getattr(graphiti_node, field_name, None) is not None: + indexed_data_point = graphiti_node.model_copy() + indexed_data_point._metadata["index_fields"] = [field_name] + index_points[index_name].append(indexed_data_point) + + for index_name, indexable_points in index_points.items(): + index_name, field_name = index_name.split(".") + await vector_engine.index_data_points(index_name, field_name, indexable_points) + + edge_types = Counter( + edge[1][1] + for edge in edges_data[0]["elements"] + if isinstance(edge, list) and len(edge) == 3 + ) + + for text, count in edge_types.items(): + edge = EdgeType(relationship_name=text, number_of_edges=count) + data_point_type = type(edge) + + for field_name in edge._metadata["index_fields"]: + index_name = f"{data_point_type.__tablename__}.{field_name}" + + if index_name not in created_indexes: + await vector_engine.create_vector_index(data_point_type.__tablename__, field_name) + created_indexes[index_name] = True + + if index_name not in index_points: + index_points[index_name] = [] + + indexed_data_point = edge.model_copy() + indexed_data_point._metadata["index_fields"] = [field_name] + index_points[index_name].append(indexed_data_point) + + for index_name, indexable_points in index_points.items(): + index_name, field_name = index_name.split(".") + await vector_engine.index_data_points(index_name, field_name, indexable_points) + + return None diff --git a/cognee/tests/integration/documents/AudioDocument_test.py b/cognee/tests/integration/documents/AudioDocument_test.py index e07a2431b..38b547140 100644 --- a/cognee/tests/integration/documents/AudioDocument_test.py +++ b/cognee/tests/integration/documents/AudioDocument_test.py @@ -29,12 +29,12 @@ def test_AudioDocument(): id=uuid.uuid4(), name="audio-dummy-test", raw_data_location="", - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="", ) with patch.object(AudioDocument, "create_transcript", return_value=TEST_TEXT): for ground_truth, paragraph_data in zip( - GROUND_TRUTH, document.read(chunk_size=64, chunker="text_chunker") + GROUND_TRUTH, document.read(chunk_size=64, chunker="text_chunker", max_chunk_tokens=512) ): assert ground_truth["word_count"] == paragraph_data.word_count, ( f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' diff --git a/cognee/tests/integration/documents/ImageDocument_test.py b/cognee/tests/integration/documents/ImageDocument_test.py index b8d585419..faa54fa27 100644 --- a/cognee/tests/integration/documents/ImageDocument_test.py +++ b/cognee/tests/integration/documents/ImageDocument_test.py @@ -18,12 +18,12 @@ def test_ImageDocument(): id=uuid.uuid4(), name="image-dummy-test", raw_data_location="", - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="", ) with patch.object(ImageDocument, "transcribe_image", return_value=TEST_TEXT): for ground_truth, paragraph_data in zip( - GROUND_TRUTH, document.read(chunk_size=64, chunker="text_chunker") + GROUND_TRUTH, document.read(chunk_size=64, chunker="text_chunker", max_chunk_tokens=512) ): assert ground_truth["word_count"] == paragraph_data.word_count, ( f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' diff --git a/cognee/tests/integration/documents/PdfDocument_test.py b/cognee/tests/integration/documents/PdfDocument_test.py index fc4307846..e9530fc12 100644 --- a/cognee/tests/integration/documents/PdfDocument_test.py +++ b/cognee/tests/integration/documents/PdfDocument_test.py @@ -20,12 +20,12 @@ def test_PdfDocument(): id=uuid.uuid4(), name="Test document.pdf", raw_data_location=test_file_path, - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="", ) for ground_truth, paragraph_data in zip( - GROUND_TRUTH, document.read(chunk_size=1024, chunker="text_chunker") + GROUND_TRUTH, document.read(chunk_size=1024, chunker="text_chunker", max_chunk_tokens=2048) ): assert ground_truth["word_count"] == paragraph_data.word_count, ( f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' diff --git a/cognee/tests/integration/documents/TextDocument_test.py b/cognee/tests/integration/documents/TextDocument_test.py index 6daec62b7..99e28a3ac 100644 --- a/cognee/tests/integration/documents/TextDocument_test.py +++ b/cognee/tests/integration/documents/TextDocument_test.py @@ -32,12 +32,13 @@ def test_TextDocument(input_file, chunk_size): id=uuid.uuid4(), name=input_file, raw_data_location=test_file_path, - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="", ) for ground_truth, paragraph_data in zip( - GROUND_TRUTH[input_file], document.read(chunk_size=chunk_size, chunker="text_chunker") + GROUND_TRUTH[input_file], + document.read(chunk_size=chunk_size, chunker="text_chunker", max_chunk_tokens=1024), ): assert ground_truth["word_count"] == paragraph_data.word_count, ( f'{ground_truth["word_count"] = } != {paragraph_data.word_count = }' diff --git a/cognee/tests/integration/documents/UnstructuredDocument_test.py b/cognee/tests/integration/documents/UnstructuredDocument_test.py index 773dc2293..d76843c0a 100644 --- a/cognee/tests/integration/documents/UnstructuredDocument_test.py +++ b/cognee/tests/integration/documents/UnstructuredDocument_test.py @@ -39,7 +39,7 @@ def test_UnstructuredDocument(): id=uuid.uuid4(), name="example.pptx", raw_data_location=pptx_file_path, - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="application/vnd.openxmlformats-officedocument.presentationml.presentation", ) @@ -47,7 +47,7 @@ def test_UnstructuredDocument(): id=uuid.uuid4(), name="example.docx", raw_data_location=docx_file_path, - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document", ) @@ -55,7 +55,7 @@ def test_UnstructuredDocument(): id=uuid.uuid4(), name="example.csv", raw_data_location=csv_file_path, - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="text/csv", ) @@ -63,12 +63,14 @@ def test_UnstructuredDocument(): id=uuid.uuid4(), name="example.xlsx", raw_data_location=xlsx_file_path, - metadata_id=uuid.uuid4(), + external_metadata="", mime_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", ) # Test PPTX - for paragraph_data in pptx_document.read(chunk_size=1024, chunker="text_chunker"): + for paragraph_data in pptx_document.read( + chunk_size=1024, chunker="text_chunker", max_chunk_tokens=1024 + ): assert 19 == paragraph_data.word_count, f" 19 != {paragraph_data.word_count = }" assert 104 == len(paragraph_data.text), f" 104 != {len(paragraph_data.text) = }" assert "sentence_cut" == paragraph_data.cut_type, ( @@ -76,7 +78,9 @@ def test_UnstructuredDocument(): ) # Test DOCX - for paragraph_data in docx_document.read(chunk_size=1024, chunker="text_chunker"): + for paragraph_data in docx_document.read( + chunk_size=1024, chunker="text_chunker", max_chunk_tokens=1024 + ): assert 16 == paragraph_data.word_count, f" 16 != {paragraph_data.word_count = }" assert 145 == len(paragraph_data.text), f" 145 != {len(paragraph_data.text) = }" assert "sentence_end" == paragraph_data.cut_type, ( @@ -84,7 +88,9 @@ def test_UnstructuredDocument(): ) # TEST CSV - for paragraph_data in csv_document.read(chunk_size=1024, chunker="text_chunker"): + for paragraph_data in csv_document.read( + chunk_size=1024, chunker="text_chunker", max_chunk_tokens=1024 + ): assert 15 == paragraph_data.word_count, f" 15 != {paragraph_data.word_count = }" assert "A A A A A A A A A,A A A A A A,A A" == paragraph_data.text, ( f"Read text doesn't match expected text: {paragraph_data.text}" @@ -94,7 +100,9 @@ def test_UnstructuredDocument(): ) # Test XLSX - for paragraph_data in xlsx_document.read(chunk_size=1024, chunker="text_chunker"): + for paragraph_data in xlsx_document.read( + chunk_size=1024, chunker="text_chunker", max_chunk_tokens=1024 + ): assert 36 == paragraph_data.word_count, f" 36 != {paragraph_data.word_count = }" assert 171 == len(paragraph_data.text), f" 171 != {len(paragraph_data.text) = }" assert "sentence_cut" == paragraph_data.cut_type, ( diff --git a/cognee/tests/unit/interfaces/graph/get_graph_from_model_unit_test.py b/cognee/tests/unit/interfaces/graph/get_graph_from_model_unit_test.py new file mode 100644 index 000000000..70d1f348e --- /dev/null +++ b/cognee/tests/unit/interfaces/graph/get_graph_from_model_unit_test.py @@ -0,0 +1,151 @@ +import pytest +from typing import List, Optional +from cognee.infrastructure.engine import DataPoint + +from cognee.modules.graph.utils import get_graph_from_model + + +class Document(DataPoint): + path: str + _metadata = {"index_fields": [], "type": "Document"} + + +class DocumentChunk(DataPoint): + part_of: Document + text: str + contains: List["Entity"] = None + _metadata = {"index_fields": ["text"], "type": "DocumentChunk"} + + +class EntityType(DataPoint): + name: str + _metadata = {"index_fields": ["name"], "type": "EntityType"} + + +class Entity(DataPoint): + name: str + is_type: EntityType + _metadata = {"index_fields": ["name"], "type": "Entity"} + + +DocumentChunk.model_rebuild() + + +@pytest.mark.asyncio +async def test_get_graph_from_model_simple_structure(): + """Tests simple pydantic structure for get_graph_from_model""" + + entitytype = EntityType( + name="TestType", + ) + + entity = Entity(name="TestEntity", is_type=entitytype) + + added_nodes = {} + added_edges = {} + visited_properties = {} + + nodes, edges = await get_graph_from_model(entity, added_nodes, added_edges, visited_properties) + + assert len(nodes) == 2, f"Expected 2 nodes, got {len(nodes)}" + assert len(edges) == 1, f"Expected 1 edges, got {len(edges)}" + + edge_key = str(entity.id) + str(entitytype.id) + "is_type" + assert edge_key in added_edges, f"Edge {edge_key} not found" + + +@pytest.mark.asyncio +async def test_get_graph_from_model_with_document_and_chunk(): + """Tests multiple entities to document connection""" + doc = Document(path="test/path") + doc_chunk = DocumentChunk(part_of=doc, text="This is a chunk of text", contains=[]) + entity_type = EntityType(name="Person") + entity = Entity(name="Alice", is_type=entity_type) + entity2 = Entity(name="Alice2", is_type=entity_type) + doc_chunk.contains.append(entity) + doc_chunk.contains.append(entity2) + + added_nodes = {} + added_edges = {} + visited_properties = {} + + nodes, edges = await get_graph_from_model( + doc_chunk, added_nodes, added_edges, visited_properties + ) + + assert len(nodes) == 5, f"Expected 5 nodes, got {len(nodes)}" + assert len(edges) == 5, f"Expected 5 edges, got {len(edges)}" + + +@pytest.mark.asyncio +async def test_get_graph_from_model_duplicate_references(): + """Tests duplicated objects in document list""" + doc = Document(path="test/path") + doc_chunk = DocumentChunk(part_of=doc, text="Chunk with duplicates", contains=[]) + + entity_type = EntityType(name="Animal") + shared_entity = Entity(name="Cat", is_type=entity_type) + + doc_chunk.contains.extend([shared_entity, shared_entity, shared_entity]) + + added_nodes = {} + added_edges = {} + visited_properties = {} + + nodes, edges = await get_graph_from_model( + doc_chunk, added_nodes, added_edges, visited_properties + ) + + assert len(nodes) == 4, f"Expected 4 nodes, got {len(nodes)}" + assert len(edges) == 3, f"Expected 3 edges, got {len(edges)}" + + +@pytest.mark.asyncio +async def test_get_graph_from_model_multi_level_nesting(): + """Tests multi level nested structure extraction""" + doc = Document(path="multi-level/path") + + chunk1 = DocumentChunk(part_of=doc, text="Chunk 1 text", contains=[]) + chunk2 = DocumentChunk(part_of=doc, text="Chunk 2 text", contains=[]) + + entity_type_vehicle = EntityType(name="Vehicle") + entity_type_person = EntityType(name="Person") + + entity_car = Entity(name="Car", is_type=entity_type_vehicle) + entity_bike = Entity(name="Bike", is_type=entity_type_vehicle) + entity_alice = Entity(name="Alice", is_type=entity_type_person) + + chunk1.contains.extend([entity_car, entity_bike]) + chunk2.contains.append(entity_alice) + + added_nodes = {} + added_edges = {} + visited_properties = {} + + nodes, edges = await get_graph_from_model(chunk1, added_nodes, added_edges, visited_properties) + + nodes2, edges2 = await get_graph_from_model( + chunk2, added_nodes, added_edges, visited_properties + ) + + all_nodes = nodes + nodes2 + all_edges = edges + edges2 + + assert len(all_nodes) == 8, f"Expected 8 nodes, got {len(all_nodes)}" + assert len(all_edges) == 8, f"Expected 8 edges, got {len(all_edges)}" + + +@pytest.mark.asyncio +async def test_get_graph_from_model_no_contains(): + """Tests graph from model with empty contains element""" + doc = Document(path="empty-contains/path") + chunk = DocumentChunk(part_of=doc, text="A chunk with no entities", contains=[]) + + added_nodes = {} + added_edges = {} + visited_properties = {} + + nodes, edges = await get_graph_from_model(chunk, added_nodes, added_edges, visited_properties) + + assert len(nodes) == 2, f"Expected 2 nodes, got {len(nodes)}" + assert len(edges) == 1, f"Expected 1 edge, got {len(edges)}" diff --git a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py index d8680a604..5555a7dc9 100644 --- a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py +++ b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_2_test.py @@ -8,14 +8,24 @@ from cognee.tests.unit.processing.chunks.test_input import INPUT_TEXTS paragraph_lengths = [64, 256, 1024] batch_paragraphs_vals = [True, False] +max_chunk_tokens_vals = [512, 1024, 4096] @pytest.mark.parametrize( - "input_text,paragraph_length,batch_paragraphs", - list(product(list(INPUT_TEXTS.values()), paragraph_lengths, batch_paragraphs_vals)), + "input_text,max_chunk_tokens,paragraph_length,batch_paragraphs", + list( + product( + list(INPUT_TEXTS.values()), + max_chunk_tokens_vals, + paragraph_lengths, + batch_paragraphs_vals, + ) + ), ) -def test_chunk_by_paragraph_isomorphism(input_text, paragraph_length, batch_paragraphs): - chunks = chunk_by_paragraph(input_text, paragraph_length, batch_paragraphs) +def test_chunk_by_paragraph_isomorphism( + input_text, max_chunk_tokens, paragraph_length, batch_paragraphs +): + chunks = chunk_by_paragraph(input_text, max_chunk_tokens, paragraph_length, batch_paragraphs) reconstructed_text = "".join([chunk["text"] for chunk in chunks]) assert reconstructed_text == input_text, ( f"texts are not identical: {len(input_text) = }, {len(reconstructed_text) = }" @@ -23,13 +33,23 @@ def test_chunk_by_paragraph_isomorphism(input_text, paragraph_length, batch_para @pytest.mark.parametrize( - "input_text,paragraph_length,batch_paragraphs", - list(product(list(INPUT_TEXTS.values()), paragraph_lengths, batch_paragraphs_vals)), + "input_text,max_chunk_tokens,paragraph_length,batch_paragraphs", + list( + product( + list(INPUT_TEXTS.values()), + max_chunk_tokens_vals, + paragraph_lengths, + batch_paragraphs_vals, + ) + ), ) -def test_paragraph_chunk_length(input_text, paragraph_length, batch_paragraphs): +def test_paragraph_chunk_length(input_text, max_chunk_tokens, paragraph_length, batch_paragraphs): chunks = list( chunk_by_paragraph( - data=input_text, paragraph_length=paragraph_length, batch_paragraphs=batch_paragraphs + data=input_text, + max_chunk_tokens=max_chunk_tokens, + paragraph_length=paragraph_length, + batch_paragraphs=batch_paragraphs, ) ) @@ -42,12 +62,24 @@ def test_paragraph_chunk_length(input_text, paragraph_length, batch_paragraphs): @pytest.mark.parametrize( - "input_text,paragraph_length,batch_paragraphs", - list(product(list(INPUT_TEXTS.values()), paragraph_lengths, batch_paragraphs_vals)), + "input_text,max_chunk_tokens,paragraph_length,batch_paragraphs", + list( + product( + list(INPUT_TEXTS.values()), + max_chunk_tokens_vals, + paragraph_lengths, + batch_paragraphs_vals, + ) + ), ) -def test_chunk_by_paragraph_chunk_numbering(input_text, paragraph_length, batch_paragraphs): +def test_chunk_by_paragraph_chunk_numbering( + input_text, max_chunk_tokens, paragraph_length, batch_paragraphs +): chunks = chunk_by_paragraph( - data=input_text, paragraph_length=paragraph_length, batch_paragraphs=batch_paragraphs + data=input_text, + max_chunk_tokens=max_chunk_tokens, + paragraph_length=paragraph_length, + batch_paragraphs=batch_paragraphs, ) chunk_indices = np.array([chunk["chunk_index"] for chunk in chunks]) assert np.all(chunk_indices == np.arange(len(chunk_indices))), ( diff --git a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py index e420b2e9f..ed706830e 100644 --- a/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py +++ b/cognee/tests/unit/processing/chunks/chunk_by_paragraph_test.py @@ -50,7 +50,7 @@ Third paragraph is cut and is missing the dot at the end""", def run_chunking_test(test_text, expected_chunks): chunks = [] for chunk_data in chunk_by_paragraph( - data=test_text, paragraph_length=12, batch_paragraphs=False + data=test_text, paragraph_length=12, batch_paragraphs=False, max_chunk_tokens=512 ): chunks.append(chunk_data) diff --git a/cognee/tests/unit/processing/utils/utils_test.py b/cognee/tests/unit/processing/utils/utils_test.py index f8c325100..067ab6ea7 100644 --- a/cognee/tests/unit/processing/utils/utils_test.py +++ b/cognee/tests/unit/processing/utils/utils_test.py @@ -11,9 +11,7 @@ from cognee.shared.exceptions import IngestionError from cognee.shared.utils import ( get_anonymous_id, send_telemetry, - num_tokens_from_string, get_file_content_hash, - trim_text_to_max_tokens, prepare_edges, prepare_nodes, create_cognee_style_network_with_logo, @@ -45,15 +43,6 @@ def test_get_anonymous_id(mock_open_file, mock_makedirs, temp_dir): # args, kwargs = mock_post.call_args # assert kwargs["json"]["event_name"] == "test_event" -# -# @patch("tiktoken.encoding_for_model") -# def test_num_tokens_from_string(mock_encoding): -# mock_encoding.return_value.encode = lambda x: list(x) -# -# assert num_tokens_from_string("hello", "test_encoding") == 5 -# assert num_tokens_from_string("world", "test_encoding") == 5 -# - @patch("builtins.open", new_callable=mock_open, read_data=b"test_data") def test_get_file_content_hash_file(mock_open_file): @@ -73,18 +62,6 @@ def test_get_file_content_hash_stream(): assert result == expected_hash -# def test_trim_text_to_max_tokens(): -# text = "This is a test string with multiple words." -# encoding_name = "test_encoding" -# -# with patch("tiktoken.get_encoding") as mock_get_encoding: -# mock_get_encoding.return_value.encode = lambda x: list(x) -# mock_get_encoding.return_value.decode = lambda x: "".join(x) -# -# result = trim_text_to_max_tokens(text, 5, encoding_name) -# assert result == text[:5] - - def test_prepare_edges(): graph = nx.MultiDiGraph() graph.add_edge("A", "B", key="AB", weight=1) diff --git a/entrypoint.sh b/entrypoint.sh index ea9da9dd6..ec32ba08d 100755 --- a/entrypoint.sh +++ b/entrypoint.sh @@ -30,4 +30,4 @@ if [ "$ENVIRONMENT" = "dev" ]; then else gunicorn -w 3 -k uvicorn.workers.UvicornWorker -t 30000 --bind=0.0.0.0:8000 --log-level error cognee.api.client:app # python ./cognee/api/client.py -fi +fi \ No newline at end of file diff --git a/evals/deepeval_metrics.py b/evals/deepeval_metrics.py index 9ce1e9e4f..51d6c9181 100644 --- a/evals/deepeval_metrics.py +++ b/evals/deepeval_metrics.py @@ -2,14 +2,57 @@ from deepeval.metrics import BaseMetric, GEval from deepeval.test_case import LLMTestCase, LLMTestCaseParams from evals.official_hotpot_metrics import exact_match_score, f1_score +from cognee.infrastructure.llm.prompts.llm_judge_prompts import llm_judge_prompts correctness_metric = GEval( name="Correctness", model="gpt-4o-mini", evaluation_params=[LLMTestCaseParams.ACTUAL_OUTPUT, LLMTestCaseParams.EXPECTED_OUTPUT], - evaluation_steps=[ - "Determine whether the actual output is factually correct based on the expected output." + evaluation_steps=[llm_judge_prompts["correctness"]], +) + +comprehensiveness_metric = GEval( + name="Comprehensiveness", + model="gpt-4o-mini", + evaluation_params=[ + LLMTestCaseParams.INPUT, + LLMTestCaseParams.ACTUAL_OUTPUT, + LLMTestCaseParams.EXPECTED_OUTPUT, ], + evaluation_steps=[llm_judge_prompts["comprehensiveness"]], +) + +diversity_metric = GEval( + name="Diversity", + model="gpt-4o-mini", + evaluation_params=[ + LLMTestCaseParams.INPUT, + LLMTestCaseParams.ACTUAL_OUTPUT, + LLMTestCaseParams.EXPECTED_OUTPUT, + ], + evaluation_steps=[llm_judge_prompts["diversity"]], +) + +empowerment_metric = GEval( + name="Empowerment", + model="gpt-4o-mini", + evaluation_params=[ + LLMTestCaseParams.INPUT, + LLMTestCaseParams.ACTUAL_OUTPUT, + LLMTestCaseParams.EXPECTED_OUTPUT, + ], + evaluation_steps=[llm_judge_prompts["empowerment"]], +) + +directness_metric = GEval( + name="Directness", + model="gpt-4o-mini", + evaluation_params=[ + LLMTestCaseParams.INPUT, + LLMTestCaseParams.ACTUAL_OUTPUT, + LLMTestCaseParams.EXPECTED_OUTPUT, + ], + evaluation_steps=[llm_judge_prompts["directness"]], ) diff --git a/evals/eval_on_hotpot.py b/evals/eval_on_hotpot.py index 5a95ea05d..75ad82954 100644 --- a/evals/eval_on_hotpot.py +++ b/evals/eval_on_hotpot.py @@ -1,61 +1,42 @@ import argparse import asyncio -import json import statistics -from pathlib import Path - -import deepeval.metrics -import wget from deepeval.dataset import EvaluationDataset from deepeval.test_case import LLMTestCase from tqdm import tqdm - -import cognee -import evals.deepeval_metrics -from cognee.api.v1.search import SearchType -from cognee.base_config import get_base_config +import logging from cognee.infrastructure.llm.get_llm_client import get_llm_client from cognee.infrastructure.llm.prompts import read_query_prompt, render_prompt +from evals.qa_dataset_utils import load_qa_dataset +from evals.qa_metrics_utils import get_metrics +from evals.qa_context_provider_utils import qa_context_providers, valid_pipeline_slices +import random +import os +import json +from pathlib import Path + +logger = logging.getLogger(__name__) -async def answer_without_cognee(instance): - args = { - "question": instance["question"], - "context": instance["context"], - } - user_prompt = render_prompt("context_for_question.txt", args) - system_prompt = read_query_prompt("answer_hotpot_question.txt") +async def answer_qa_instance(instance, context_provider, contexts_filename): + if os.path.exists(contexts_filename): + with open(contexts_filename, "r") as file: + preloaded_contexts = json.load(file) + else: + preloaded_contexts = {} - llm_client = get_llm_client() - answer_prediction = await llm_client.acreate_structured_output( - text_input=user_prompt, - system_prompt=system_prompt, - response_model=str, - ) - return answer_prediction + if instance["_id"] in preloaded_contexts: + context = preloaded_contexts[instance["_id"]] + else: + context = await context_provider(instance) + preloaded_contexts[instance["_id"]] = context - -async def answer_with_cognee(instance): - await cognee.prune.prune_data() - await cognee.prune.prune_system(metadata=True) - - for title, sentences in instance["context"]: - await cognee.add("\n".join(sentences), dataset_name="HotPotQA") - - for n in range(1, 4): - print(n) - - await cognee.cognify("HotPotQA") - - search_results = await cognee.search(SearchType.INSIGHTS, query_text=instance["question"]) - search_results_second = await cognee.search( - SearchType.SUMMARIES, query_text=instance["question"] - ) - search_results = search_results + search_results_second + with open(contexts_filename, "w") as file: + json.dump(preloaded_contexts, file) args = { "question": instance["question"], - "context": search_results, + "context": context, } user_prompt = render_prompt("context_for_question.txt", args) system_prompt = read_query_prompt("answer_hotpot_using_cognee_search.txt") @@ -70,7 +51,7 @@ async def answer_with_cognee(instance): return answer_prediction -async def eval_answers(instances, answers, eval_metric): +async def deepeval_answers(instances, answers, eval_metrics): test_cases = [] for instance, answer in zip(instances, answers): @@ -80,67 +61,132 @@ async def eval_answers(instances, answers, eval_metric): test_cases.append(test_case) eval_set = EvaluationDataset(test_cases) - eval_results = eval_set.evaluate([eval_metric]) + eval_results = eval_set.evaluate(eval_metrics) return eval_results -async def eval_on_hotpotQA(answer_provider, num_samples, eval_metric): - base_config = get_base_config() - data_root_dir = base_config.data_root_directory +async def deepeval_on_instances( + instances, context_provider, eval_metrics, answers_filename, contexts_filename +): + if os.path.exists(answers_filename): + with open(answers_filename, "r") as file: + preloaded_answers = json.load(file) + else: + preloaded_answers = {} - if not Path(data_root_dir).exists(): - Path(data_root_dir).mkdir() - - filepath = data_root_dir / Path("hotpot_dev_fullwiki_v1.json") - if not filepath.exists(): - url = "http://curtis.ml.cmu.edu/datasets/hotpot/hotpot_dev_fullwiki_v1.json" - wget.download(url, out=data_root_dir) - - with open(filepath, "r") as file: - dataset = json.load(file) - - instances = dataset if not num_samples else dataset[:num_samples] answers = [] for instance in tqdm(instances, desc="Getting answers"): - answer = await answer_provider(instance) + if instance["_id"] in preloaded_answers: + answer = preloaded_answers[instance["_id"]] + else: + answer = await answer_qa_instance(instance, context_provider, contexts_filename) + preloaded_answers[instance["_id"]] = answer answers.append(answer) - eval_results = await eval_answers(instances, answers, eval_metric) - avg_score = statistics.mean( - [result.metrics_data[0].score for result in eval_results.test_results] + with open(answers_filename, "w") as file: + json.dump(preloaded_answers, file) + + eval_results = await deepeval_answers(instances, answers, eval_metrics) + score_lists_dict = {} + for instance_result in eval_results.test_results: + for metric_result in instance_result.metrics_data: + if metric_result.name not in score_lists_dict: + score_lists_dict[metric_result.name] = [] + score_lists_dict[metric_result.name].append(metric_result.score) + + avg_scores = { + metric_name: statistics.mean(scorelist) + for metric_name, scorelist in score_lists_dict.items() + } + + return avg_scores + + +async def eval_on_QA_dataset( + dataset_name_or_filename: str, context_provider_name, num_samples, metric_name_list, out_path +): + dataset = load_qa_dataset(dataset_name_or_filename) + context_provider = qa_context_providers[context_provider_name] + eval_metrics = get_metrics(metric_name_list) + + out_path = Path(out_path) + if not out_path.exists(): + out_path.mkdir(parents=True, exist_ok=True) + + random.seed(43) + instances = dataset if not num_samples else random.sample(dataset, num_samples) + + contexts_filename = out_path / Path( + f"contexts_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json" + ) + if "promptfoo_metrics" in eval_metrics: + promptfoo_results = await eval_metrics["promptfoo_metrics"].measure( + instances, context_provider, contexts_filename + ) + else: + promptfoo_results = {} + + answers_filename = out_path / Path( + f"answers_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json" + ) + deepeval_results = await deepeval_on_instances( + instances, + context_provider, + eval_metrics["deepeval_metrics"], + answers_filename, + contexts_filename, ) - return avg_score + results = promptfoo_results | deepeval_results + + return results -if __name__ == "__main__": +async def incremental_eval_on_QA_dataset( + dataset_name_or_filename: str, num_samples, metric_name_list, out_path +): + pipeline_slice_names = valid_pipeline_slices.keys() + + incremental_results = {} + for pipeline_slice_name in pipeline_slice_names: + results = await eval_on_QA_dataset( + dataset_name_or_filename, pipeline_slice_name, num_samples, metric_name_list, out_path + ) + incremental_results[pipeline_slice_name] = results + + return incremental_results + + +async def main(): parser = argparse.ArgumentParser() - parser.add_argument("--with_cognee", action="store_true") - parser.add_argument("--num_samples", type=int, default=500) + parser.add_argument("--dataset", type=str, required=True, help="Which dataset to evaluate on") parser.add_argument( - "--metric", + "--rag_option", type=str, - default="correctness_metric", - help="Valid options are Deepeval metrics (e.g. AnswerRelevancyMetric) \ - and metrics defined in evals/deepeval_metrics.py, e.g. f1_score_metric", + choices=list(qa_context_providers.keys()) + ["cognee_incremental"], + required=True, + help="RAG option to use for providing context", ) + parser.add_argument("--num_samples", type=int, default=500) + parser.add_argument("--metrics", type=str, nargs="+", default=["Correctness"]) + parser.add_argument("--out_dir", type=str, help="Dir to save eval results") args = parser.parse_args() - try: - metric_cls = getattr(deepeval.metrics, args.metric) - metric = metric_cls() - except AttributeError: - metric = getattr(evals.deepeval_metrics, args.metric) - if isinstance(metric, type): - metric = metric() + if args.rag_option == "cognee_incremental": + avg_scores = await incremental_eval_on_QA_dataset( + args.dataset, args.num_samples, args.metrics, args.out_dir + ) - if args.with_cognee: - answer_provider = answer_with_cognee else: - answer_provider = answer_without_cognee + avg_scores = await eval_on_QA_dataset( + args.dataset, args.rag_option, args.num_samples, args.metrics, args.out_dir + ) - avg_score = asyncio.run(eval_on_hotpotQA(answer_provider, args.num_samples, metric)) - print(f"Average {args.metric}: {avg_score}") + logger.info(f"{avg_scores}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/evals/eval_swe_bench.py b/evals/eval_swe_bench.py index a8b4c8a1d..b10eab3e2 100644 --- a/evals/eval_swe_bench.py +++ b/evals/eval_swe_bench.py @@ -34,6 +34,15 @@ def check_install_package(package_name): async def generate_patch_with_cognee(instance): + import os + from cognee import config + + file_path = Path(__file__).parent + data_directory_path = str(Path(os.path.join(file_path, ".data_storage/code_graph")).resolve()) + + config.data_root_directory(data_directory_path) + config.system_root_directory(data_directory_path) + repo_path = download_github_repo(instance, "../RAW_GIT_REPOS") include_docs = True problem_statement = instance["problem_statement"] @@ -42,10 +51,17 @@ async def generate_patch_with_cognee(instance): async for result in run_code_graph_pipeline(repo_path, include_docs=include_docs): print(result) - retrieved_codeparts = await code_description_to_code_part_search( + retrieved_codeparts, context_from_documents = await code_description_to_code_part_search( problem_statement, include_docs=include_docs ) + context = "" + for code_piece in retrieved_codeparts: + context = context + code_piece.get_attribute("source_code") + + if include_docs: + context = context_from_documents + context + prompt = "\n".join( [ problem_statement, @@ -53,7 +69,7 @@ async def generate_patch_with_cognee(instance): PATCH_EXAMPLE, "", "This is the additional context to solve the problem (description from documentation together with codeparts):", - retrieved_codeparts, + context, ] ) diff --git a/evals/multimetric_qa_eval_run.py b/evals/multimetric_qa_eval_run.py new file mode 100644 index 000000000..7f219e8b9 --- /dev/null +++ b/evals/multimetric_qa_eval_run.py @@ -0,0 +1,75 @@ +import subprocess +import json +import argparse +import os +from typing import List +import sys + + +def run_command(command: List[str]): + try: + process = subprocess.Popen( + command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1 + ) + + while True: + stdout_line = process.stdout.readline() + stderr_line = process.stderr.readline() + + if stdout_line == "" and stderr_line == "" and process.poll() is not None: + break + + if stdout_line: + print(stdout_line.rstrip()) + if stderr_line: + print(f"Error: {stderr_line.rstrip()}", file=sys.stderr) + + if process.returncode != 0: + raise subprocess.CalledProcessError(process.returncode, command) + finally: + process.stdout.close() + process.stderr.close() + + +def run_evals_for_paramsfile(params_file, out_dir): + with open(params_file, "r") as file: + parameters = json.load(file) + + for metric in parameters["metric_names"]: + params = parameters + params["metric_names"] = [metric] + + temp_paramfile = params_file.replace(".json", f"_{metric}.json") + with open(temp_paramfile, "w") as file: + json.dump(params, file) + + command = [ + "python", + "evals/run_qa_eval.py", + "--params_file", + temp_paramfile, + "--out_dir", + out_dir, + ] + + run_command(command) + + if os.path.exists(temp_paramfile): + os.remove(temp_paramfile) + + +def main(): + parser = argparse.ArgumentParser() + + parser.add_argument( + "--params_file", type=str, required=True, help="Which dataset to evaluate on" + ) + parser.add_argument("--out_dir", type=str, help="Dir to save eval results") + + args = parser.parse_args() + + run_evals_for_paramsfile(args.params_file, args.out_dir) + + +if __name__ == "__main__": + main() diff --git a/evals/official_hotpot_metrics.py b/evals/official_hotpot_metrics.py index 70444f7be..c09ab2a9d 100644 --- a/evals/official_hotpot_metrics.py +++ b/evals/official_hotpot_metrics.py @@ -4,11 +4,8 @@ These are the official evaluation metrics for HotpotQA taken from https://hotpot import re import string -import sys from collections import Counter -import ujson as json - def normalize_answer(s): def remove_articles(text): diff --git a/evals/promptfoo_config_template.yaml b/evals/promptfoo_config_template.yaml new file mode 100644 index 000000000..f2201fca2 --- /dev/null +++ b/evals/promptfoo_config_template.yaml @@ -0,0 +1,7 @@ +# yaml-language-server: $schema=https://promptfoo.dev/config-schema.json + +# Learn more about building a configuration: https://promptfoo.dev/docs/configuration/guide + +description: "My eval" +providers: + - id: openai:gpt-4o-mini diff --git a/evals/promptfoo_metrics.py b/evals/promptfoo_metrics.py new file mode 100644 index 000000000..f21fab2f9 --- /dev/null +++ b/evals/promptfoo_metrics.py @@ -0,0 +1,92 @@ +from evals.promptfoo_wrapper import PromptfooWrapper +import os +import yaml +import json +import shutil +from cognee.infrastructure.llm.prompts.llm_judge_prompts import llm_judge_prompts + + +def is_valid_promptfoo_metric(metric_name: str): + try: + prefix, suffix = metric_name.split(".") + except ValueError: + return False + if prefix != "promptfoo": + return False + if suffix not in llm_judge_prompts: + return False + return True + + +class PromptfooMetric: + def __init__(self, metric_name_list): + promptfoo_path = shutil.which("promptfoo") + self.wrapper = PromptfooWrapper(promptfoo_path=promptfoo_path) + self.prompts = {} + for metric_name in metric_name_list: + if is_valid_promptfoo_metric(metric_name): + self.prompts[metric_name] = llm_judge_prompts[metric_name.split(".")[1]] + else: + raise Exception(f"{metric_name} is not a valid promptfoo metric") + + async def measure(self, instances, context_provider, contexts_filename): + with open(os.path.join(os.getcwd(), "evals/promptfoo_config_template.yaml"), "r") as file: + config = yaml.safe_load(file) + + config["defaultTest"] = { + "assert": [ + {"type": "llm-rubric", "value": prompt, "name": metric_name} + for metric_name, prompt in self.prompts.items() + ] + } + + tests = [] + if os.path.exists(contexts_filename): + with open(contexts_filename, "r") as file: + preloaded_contexts = json.load(file) + else: + preloaded_contexts = {} + + for instance in instances: + if instance["_id"] in preloaded_contexts: + context = preloaded_contexts[instance["_id"]] + else: + context = await context_provider(instance) + preloaded_contexts[instance["_id"]] = context + + test = { + "vars": { + "name": instance["question"][:15], + "question": instance["question"], + "context": context, + } + } + tests.append(test) + + config["tests"] = tests + with open(contexts_filename, "w") as file: + json.dump(preloaded_contexts, file) + + # Write the updated YAML back, preserving formatting and structure + updated_yaml_file_path = os.path.join(os.getcwd(), "config_with_context.yaml") + with open(updated_yaml_file_path, "w") as file: + yaml.dump(config, file) + + self.wrapper.run_eval( + prompt_file=os.path.join(os.getcwd(), "evals/promptfooprompt.json"), + config_file=os.path.join(os.getcwd(), "config_with_context.yaml"), + out_format="json", + ) + + file_path = os.path.join(os.getcwd(), "benchmark_results.json") + + # Read and parse the JSON file + with open(file_path, "r") as file: + results = json.load(file) + + scores = {} + + for result in results["results"]["results"][0]["gradingResult"]["componentResults"]: + scores[result["assertion"]["name"]] = result["score"] + + return scores diff --git a/evals/promptfoo_wrapper.py b/evals/promptfoo_wrapper.py new file mode 100644 index 000000000..97a03bbf8 --- /dev/null +++ b/evals/promptfoo_wrapper.py @@ -0,0 +1,157 @@ +import subprocess +import json +import logging +import os +from typing import List, Optional, Dict, Generator +import shutil +import platform +from dotenv import load_dotenv + +logger = logging.getLogger(__name__) + +# Load environment variables from .env file +load_dotenv() + + +class PromptfooWrapper: + """ + A Python wrapper class around the promptfoo CLI tool, allowing you to: + - Evaluate prompts against different language models. + - Compare responses from multiple models. + - Pass configuration and prompt files. + - Retrieve the outputs in a structured format, including binary output if needed. + + This class assumes you have the promptfoo CLI installed and accessible in your environment. + For more details on promptfoo, see: https://github.com/promptfoo/promptfoo + """ + + def __init__(self, promptfoo_path: str = ""): + """ + Initialize the wrapper with the path to the promptfoo executable. + + :param promptfoo_path: Path to the promptfoo binary (default: 'promptfoo') + """ + self.promptfoo_path = promptfoo_path + logger.debug(f"Initialized PromptfooWrapper with binary at: {self.promptfoo_path}") + + def _validate_path(self, file_path: Optional[str]) -> None: + """ + Validate that a file path is accessible if provided. + Raise FileNotFoundError if it does not exist. + """ + if file_path and not os.path.isfile(file_path): + logger.error(f"File not found: {file_path}") + raise FileNotFoundError(f"File not found: {file_path}") + + def _get_node_bin_dir(self) -> str: + """ + Determine the Node.js binary directory dynamically for macOS and Linux. + """ + node_executable = shutil.which("node") + if not node_executable: + logger.error("Node.js is not installed or not found in the system PATH.") + raise EnvironmentError("Node.js is not installed or not in PATH.") + + # Determine the Node.js binary directory + node_bin_dir = os.path.dirname(node_executable) + + # Special handling for macOS, where Homebrew installs Node in /usr/local or /opt/homebrew + if platform.system() == "Darwin": # macOS + logger.debug("Running on macOS") + brew_prefix = os.popen("brew --prefix node").read().strip() + if brew_prefix and os.path.exists(brew_prefix): + node_bin_dir = os.path.join(brew_prefix, "bin") + logger.debug(f"Detected Node.js binary directory using Homebrew: {node_bin_dir}") + + # For Linux, Node.js installed via package managers should work out of the box + logger.debug(f"Detected Node.js binary directory: {node_bin_dir}") + return node_bin_dir + + def _run_command( + self, + cmd: List[str], + filename, + ) -> Generator[Dict, None, None]: + """ + Run a given command using subprocess and parse the output. + """ + logger.debug(f"Running command: {' '.join(cmd)}") + + # Make a copy of the current environment + env = os.environ.copy() + + try: + node_bin_dir = self._get_node_bin_dir() + print(node_bin_dir) + env["PATH"] = f"{node_bin_dir}:{env['PATH']}" + + except EnvironmentError as e: + logger.error(f"Failed to set Node.js binary directory: {e}") + raise + + # Add node's bin directory to the PATH + # node_bin_dir = "/Users/vasilije/Library/Application Support/JetBrains/PyCharm2024.2/node/versions/20.15.0/bin" + # # env["PATH"] = f"{node_bin_dir}:{env['PATH']}" + + result = subprocess.run(cmd, capture_output=True, text=True, check=False, env=env) + + print(result.stderr) + with open(filename, "r", encoding="utf-8") as file: + read_data = json.load(file) + print(f"{filename} created and written.") + + # Log raw stdout for debugging + logger.debug(f"Raw command output:\n{result.stdout}") + + # Use the parse_promptfoo_output function to yield parsed results + return read_data + + def run_eval( + self, + prompt_file: Optional[str] = None, + config_file: Optional[str] = None, + eval_file: Optional[str] = None, + out_format: str = "json", + extra_args: Optional[List[str]] = None, + binary_output: bool = False, + ) -> Dict: + """ + Run the `promptfoo eval` command with the provided parameters and return parsed results. + + :param prompt_file: Path to a file containing one or more prompts. + :param config_file: Path to a config file specifying models, scoring methods, etc. + :param eval_file: Path to an eval file with test data. + :param out_format: Output format, e.g., 'json', 'yaml', or 'table'. + :param extra_args: Additional command-line arguments for fine-tuning evaluation. + :param binary_output: If True, interpret output as binary data instead of text. + :return: List of parsed results (each result is a dictionary). + """ + self._validate_path(prompt_file) + self._validate_path(config_file) + self._validate_path(eval_file) + + filename = "benchmark_results" + + filename = os.path.join(os.getcwd(), f"{filename}.json") + # Create an empty JSON file + with open(filename, "w") as file: + json.dump({}, file) + + cmd = [self.promptfoo_path, "eval"] + if prompt_file: + cmd.extend(["--prompts", prompt_file]) + if config_file: + cmd.extend(["--config", config_file]) + if eval_file: + cmd.extend(["--eval", eval_file]) + cmd.extend(["--output", filename]) + if extra_args: + cmd.extend(extra_args) + + # Log the constructed command for debugging + logger.debug(f"Constructed command: {' '.join(cmd)}") + + # Collect results from the generator + results = self._run_command(cmd, filename=filename) + logger.debug(f"Parsed results: {json.dumps(results, indent=4)}") + return results diff --git a/evals/promptfooprompt.json b/evals/promptfooprompt.json new file mode 100644 index 000000000..fb6351406 --- /dev/null +++ b/evals/promptfooprompt.json @@ -0,0 +1,10 @@ +[ + { + "role": "system", + "content": "Answer the question using the provided context. Be as brief as possible." + }, + { + "role": "user", + "content": "The question is: `{{ question }}` \n And here is the context: `{{ context }}`" + } +] diff --git a/evals/qa_context_provider_utils.py b/evals/qa_context_provider_utils.py new file mode 100644 index 000000000..2cef1e628 --- /dev/null +++ b/evals/qa_context_provider_utils.py @@ -0,0 +1,149 @@ +import cognee +from cognee.api.v1.search import SearchType +from cognee.infrastructure.databases.vector import get_vector_engine +from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search +from cognee.tasks.completion.graph_query_completion import retrieved_edges_to_string +from functools import partial +from cognee.api.v1.cognify.cognify_v2 import get_default_tasks +import logging + +logger = logging.getLogger(__name__) + + +async def get_raw_context(instance: dict) -> str: + return instance["context"] + + +async def cognify_instance(instance: dict, task_indices: list[int] = None): + await cognee.prune.prune_data() + await cognee.prune.prune_system(metadata=True) + for title, sentences in instance["context"]: + await cognee.add("\n".join(sentences), dataset_name="QA") + all_cognify_tasks = await get_default_tasks() + if task_indices: + selected_tasks = [all_cognify_tasks[ind] for ind in task_indices] + else: + selected_tasks = all_cognify_tasks + await cognee.cognify("QA", tasks=selected_tasks) + + +def _insight_to_string(triplet: tuple) -> str: + if not (isinstance(triplet, tuple) and len(triplet) == 3): + logger.warning("Invalid input: Expected a tuple of length 3.") + return "" + + node1, edge, node2 = triplet + + if not (isinstance(node1, dict) and isinstance(edge, dict) and isinstance(node2, dict)): + logger.warning("Invalid input: Each element in the tuple must be a dictionary.") + return "" + + node1_name = node1["name"] if "name" in node1 else "N/A" + node1_description = ( + node1["description"] + if "description" in node1 + else node1["text"] + if "text" in node1 + else "N/A" + ) + node1_string = f"name: {node1_name}, description: {node1_description}" + node2_name = node2["name"] if "name" in node2 else "N/A" + node2_description = ( + node2["description"] + if "description" in node2 + else node2["text"] + if "text" in node2 + else "N/A" + ) + node2_string = f"name: {node2_name}, description: {node2_description}" + + edge_string = edge.get("relationship_name", "") + + if not edge_string: + logger.warning("Missing required field: 'relationship_name' in edge dictionary.") + return "" + + triplet_str = f"{node1_string} -- {edge_string} -- {node2_string}" + return triplet_str + + +async def get_context_with_cognee( + instance: dict, + task_indices: list[int] = None, + search_types: list[SearchType] = [SearchType.INSIGHTS, SearchType.SUMMARIES, SearchType.CHUNKS], +) -> str: + await cognify_instance(instance, task_indices) + + search_results = [] + for search_type in search_types: + raw_search_results = await cognee.search(search_type, query_text=instance["question"]) + + if search_type == SearchType.INSIGHTS: + res_list = [_insight_to_string(edge) for edge in raw_search_results] + else: + res_list = [ + context_item.get("text", "") + for context_item in raw_search_results + if isinstance(context_item, dict) + ] + if all(not text for text in res_list): + logger.warning( + "res_list contains only empty strings: No valid 'text' entries found in raw_search_results." + ) + + search_results += res_list + + search_results_str = "\n".join(search_results) + + return search_results_str + + +def create_cognee_context_getter( + task_indices=None, search_types=[SearchType.SUMMARIES, SearchType.CHUNKS] +): + return partial(get_context_with_cognee, task_indices=task_indices, search_types=search_types) + + +async def get_context_with_simple_rag(instance: dict) -> str: + await cognify_instance(instance) + + vector_engine = get_vector_engine() + found_chunks = await vector_engine.search("document_chunk_text", instance["question"], limit=5) + + search_results_str = "\n".join([context_item.payload["text"] for context_item in found_chunks]) + + return search_results_str + + +async def get_context_with_brute_force_triplet_search(instance: dict) -> str: + await cognify_instance(instance) + + found_triplets = await brute_force_triplet_search(instance["question"], top_k=5) + + search_results_str = retrieved_edges_to_string(found_triplets) + + return search_results_str + + +valid_pipeline_slices = { + "extract_graph": { + "slice": [0, 1, 2, 3, 5], + "search_types": [SearchType.INSIGHTS, SearchType.CHUNKS], + }, + "summarize": { + "slice": [0, 1, 2, 3, 4, 5], + "search_types": [SearchType.INSIGHTS, SearchType.SUMMARIES, SearchType.CHUNKS], + }, +} + +qa_context_providers = { + "no_rag": get_raw_context, + "cognee": get_context_with_cognee, + "simple_rag": get_context_with_simple_rag, + "brute_force": get_context_with_brute_force_triplet_search, +} | { + name: create_cognee_context_getter( + task_indices=value["slice"], search_types=value["search_types"] + ) + for name, value in valid_pipeline_slices.items() +} diff --git a/evals/qa_dataset_utils.py b/evals/qa_dataset_utils.py new file mode 100644 index 000000000..ac97a180c --- /dev/null +++ b/evals/qa_dataset_utils.py @@ -0,0 +1,82 @@ +from cognee.root_dir import get_absolute_path +import json +import requests +from jsonschema import ValidationError, validate +from pathlib import Path + + +qa_datasets = { + "hotpotqa": { + "filename": "hotpot_dev_fullwiki_v1.json", + "URL": "http://curtis.ml.cmu.edu/datasets/hotpot/hotpot_dev_fullwiki_v1.json", + }, + "2wikimultihop": { + "filename": "data/dev.json", + "URL": "https://www.dropbox.com/scl/fi/heid2pkiswhfaqr5g0piw/data.zip?rlkey=ira57daau8lxfj022xvk1irju&e=1", + }, +} + +qa_json_schema = { + "type": "array", + "items": { + "type": "object", + "properties": { + "answer": {"type": "string"}, + "question": {"type": "string"}, + "context": {"type": "array"}, + }, + "required": ["answer", "question", "context"], + "additionalProperties": True, + }, +} + + +def download_qa_dataset(dataset_name: str, filepath: Path): + if dataset_name not in qa_datasets: + raise ValueError(f"{dataset_name} is not a supported dataset.") + + url = qa_datasets[dataset_name]["URL"] + + if dataset_name == "2wikimultihop": + raise Exception( + "Please download 2wikimultihop dataset (data.zip) manually from \ + https://www.dropbox.com/scl/fi/heid2pkiswhfaqr5g0piw/data.zip?rlkey=ira57daau8lxfj022xvk1irju&e=1 \ + and unzip it." + ) + + response = requests.get(url, stream=True) + + if response.status_code == 200: + with open(filepath, "wb") as file: + for chunk in response.iter_content(chunk_size=8192): + file.write(chunk) + print(f"Dataset {dataset_name} downloaded and saved to {filepath}") + else: + print(f"Failed to download {dataset_name}. Status code: {response.status_code}") + + +def load_qa_dataset(dataset_name_or_filename: str) -> list[dict]: + if dataset_name_or_filename in qa_datasets: + dataset_name = dataset_name_or_filename + filename = qa_datasets[dataset_name]["filename"] + + data_root_dir = get_absolute_path("../.data") + if not Path(data_root_dir).exists(): + Path(data_root_dir).mkdir() + + filepath = data_root_dir / Path(filename) + if not filepath.exists(): + download_qa_dataset(dataset_name, filepath) + else: + filename = dataset_name_or_filename + filepath = Path(filename) + + with open(filepath, "r") as file: + dataset = json.load(file) + + try: + validate(instance=dataset, schema=qa_json_schema) + except ValidationError as e: + raise ValidationError(f"Invalid QA dataset: {e.message}") + + return dataset diff --git a/evals/qa_eval_parameters.json b/evals/qa_eval_parameters.json new file mode 100644 index 000000000..8ae82b2e8 --- /dev/null +++ b/evals/qa_eval_parameters.json @@ -0,0 +1,18 @@ +{ + "dataset": [ + "hotpotqa" + ], + "rag_option": [ + "cognee_incremental", + "no_rag", + "simple_rag", + "brute_force" + ], + "num_samples": [ + 2 + ], + "metric_names": [ + "Correctness", + "Comprehensiveness" + ] +} diff --git a/evals/qa_eval_utils.py b/evals/qa_eval_utils.py new file mode 100644 index 000000000..f49f51f24 --- /dev/null +++ b/evals/qa_eval_utils.py @@ -0,0 +1,65 @@ +import itertools +import matplotlib.pyplot as plt +from jsonschema import ValidationError, validate +import pandas as pd +from pathlib import Path + +paramset_json_schema = { + "type": "object", + "properties": { + "dataset": { + "type": "array", + "items": {"type": "string"}, + }, + "rag_option": { + "type": "array", + "items": {"type": "string"}, + }, + "num_samples": { + "type": "array", + "items": {"type": "integer", "minimum": 1}, + }, + "metric_names": { + "type": "array", + "items": {"type": "string"}, + }, + }, + "required": ["dataset", "rag_option", "num_samples", "metric_names"], + "additionalProperties": False, +} + + +def save_table_as_image(df, image_path): + plt.figure(figsize=(10, 6)) + plt.axis("tight") + plt.axis("off") + plt.table(cellText=df.values, colLabels=df.columns, rowLabels=df.index, loc="center") + plt.title(f"{df.index.name}") + plt.savefig(image_path, bbox_inches="tight") + plt.close() + + +def save_results_as_image(results, out_path): + for dataset, num_samples_data in results.items(): + for num_samples, table_data in num_samples_data.items(): + for rag_option, metric_data in table_data.items(): + for name, value in metric_data.items(): + metric_name = name + break + df = pd.DataFrame.from_dict(table_data, orient="index") + df.index.name = f"Dataset: {dataset}, Num Samples: {num_samples}" + image_path = out_path / Path(f"table_{dataset}_{num_samples}_{metric_name}.png") + save_table_as_image(df, image_path) + + +def get_combinations(parameters): + try: + validate(instance=parameters, schema=paramset_json_schema) + except ValidationError as e: + raise ValidationError(f"Invalid parameter set: {e.message}") + + # params_for_combos = {k: v for k, v in parameters.items() if k != "metric_name"} + params_for_combos = {k: v for k, v in parameters.items()} + keys, values = zip(*params_for_combos.items()) + combinations = [dict(zip(keys, combo)) for combo in itertools.product(*values)] + return combinations diff --git a/evals/qa_metrics_utils.py b/evals/qa_metrics_utils.py new file mode 100644 index 000000000..80d3bc16f --- /dev/null +++ b/evals/qa_metrics_utils.py @@ -0,0 +1,66 @@ +from evals.deepeval_metrics import ( + correctness_metric, + comprehensiveness_metric, + diversity_metric, + empowerment_metric, + directness_metric, + f1_score_metric, + em_score_metric, +) +from deepeval.metrics import AnswerRelevancyMetric +import deepeval.metrics +from evals.promptfoo_metrics import is_valid_promptfoo_metric, PromptfooMetric + +native_deepeval_metrics = {"AnswerRelevancy": AnswerRelevancyMetric} + +custom_deepeval_metrics = { + "Correctness": correctness_metric, + "Comprehensiveness": comprehensiveness_metric, + "Diversity": diversity_metric, + "Empowerment": empowerment_metric, + "Directness": directness_metric, + "F1": f1_score_metric, + "EM": em_score_metric, +} + +qa_metrics = native_deepeval_metrics | custom_deepeval_metrics + + +def get_deepeval_metric(metric_name: str): + if metric_name in qa_metrics: + metric = qa_metrics[metric_name] + else: + try: + metric_cls = getattr(deepeval.metrics, metric_name) + metric = metric_cls() + except AttributeError: + raise Exception(f"Metric {metric_name} not supported") + + if isinstance(metric, type): + metric = metric() + + return metric + + +def get_metrics(metric_name_list: list[str]): + metrics = { + "deepeval_metrics": [], + } + + promptfoo_metric_names = [] + + for metric_name in metric_name_list: + if ( + (metric_name in native_deepeval_metrics) + or (metric_name in custom_deepeval_metrics) + or hasattr(deepeval.metrics, metric_name) + ): + metric = get_deepeval_metric(metric_name) + metrics["deepeval_metrics"].append(metric) + elif is_valid_promptfoo_metric(metric_name): + promptfoo_metric_names.append(metric_name) + + if len(promptfoo_metric_names) > 0: + metrics["promptfoo_metrics"] = PromptfooMetric(promptfoo_metric_names) + + return metrics diff --git a/evals/run_qa_eval.py b/evals/run_qa_eval.py new file mode 100644 index 000000000..26f53adaa --- /dev/null +++ b/evals/run_qa_eval.py @@ -0,0 +1,59 @@ +import asyncio +from evals.eval_on_hotpot import eval_on_QA_dataset, incremental_eval_on_QA_dataset +from evals.qa_eval_utils import get_combinations, save_results_as_image +import argparse +from pathlib import Path +import json + + +async def run_evals_on_paramset(paramset: dict, out_path: str): + combinations = get_combinations(paramset) + json_path = Path(out_path) / Path("results.json") + results = {} + for params in combinations: + dataset = params["dataset"] + num_samples = params["num_samples"] + rag_option = params["rag_option"] + + if dataset not in results: + results[dataset] = {} + if num_samples not in results[dataset]: + results[dataset][num_samples] = {} + + if rag_option == "cognee_incremental": + result = await incremental_eval_on_QA_dataset( + dataset, num_samples, paramset["metric_names"], out_path + ) + results[dataset][num_samples] |= result + else: + result = await eval_on_QA_dataset( + dataset, rag_option, num_samples, paramset["metric_names"], out_path + ) + results[dataset][num_samples][rag_option] = result + + with open(json_path, "w") as file: + json.dump(results, file, indent=1) + + save_results_as_image(results, out_path) + + return results + + +async def main(): + parser = argparse.ArgumentParser() + + parser.add_argument( + "--params_file", type=str, required=True, help="Which dataset to evaluate on" + ) + parser.add_argument("--out_dir", type=str, help="Dir to save eval results") + + args = parser.parse_args() + + with open(args.params_file, "r") as file: + parameters = json.load(file) + + await run_evals_on_paramset(parameters, args.out_dir) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/python/dynamic_steps_example.py b/examples/python/dynamic_steps_example.py index 4422dd39d..75881c5be 100644 --- a/examples/python/dynamic_steps_example.py +++ b/examples/python/dynamic_steps_example.py @@ -204,4 +204,9 @@ if __name__ == "__main__": "retriever": retrieve, } - asyncio.run(main(steps_to_enable)) + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + loop.run_until_complete(main(steps_to_enable)) + finally: + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/examples/python/graphiti_example.py b/examples/python/graphiti_example.py index 248361321..2a79110ea 100644 --- a/examples/python/graphiti_example.py +++ b/examples/python/graphiti_example.py @@ -1,12 +1,20 @@ import asyncio import cognee -from cognee.api.v1.search import SearchType +import logging from cognee.modules.pipelines import Task, run_tasks -from cognee.tasks.temporal_awareness import ( - build_graph_with_temporal_awareness, - search_graph_with_temporal_awareness, +from cognee.shared.utils import setup_logging +from cognee.tasks.temporal_awareness import build_graph_with_temporal_awareness +from cognee.infrastructure.databases.relational import ( + create_db_and_tables as create_relational_db_and_tables, ) +from cognee.tasks.temporal_awareness.index_graphiti_objects import ( + index_and_transform_graphiti_nodes_and_edges, +) +from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search +from cognee.tasks.completion.graph_query_completion import retrieved_edges_to_string +from cognee.infrastructure.llm.prompts import read_query_prompt, render_prompt +from cognee.infrastructure.llm.get_llm_client import get_llm_client text_list = [ "Kamala Harris is the Attorney General of California. She was previously " @@ -16,11 +24,15 @@ text_list = [ async def main(): + await cognee.prune.prune_data() + await cognee.prune.prune_system(metadata=True) + await create_relational_db_and_tables() + + for text in text_list: + await cognee.add(text) + tasks = [ Task(build_graph_with_temporal_awareness, text_list=text_list), - Task( - search_graph_with_temporal_awareness, query="Who was the California Attorney General?" - ), ] pipeline = run_tasks(tasks) @@ -28,6 +40,38 @@ async def main(): async for result in pipeline: print(result) + await index_and_transform_graphiti_nodes_and_edges() + + query = "When was Kamala Harris in office?" + triplets = await brute_force_triplet_search( + query=query, + top_k=3, + collections=["graphitinode_content", "graphitinode_name", "graphitinode_summary"], + ) + + args = { + "question": query, + "context": retrieved_edges_to_string(triplets), + } + + user_prompt = render_prompt("graph_context_for_question.txt", args) + system_prompt = read_query_prompt("answer_simple_question_restricted.txt") + + llm_client = get_llm_client() + computed_answer = await llm_client.acreate_structured_output( + text_input=user_prompt, + system_prompt=system_prompt, + response_model=str, + ) + + print(computed_answer) + if __name__ == "__main__": - asyncio.run(main()) + setup_logging(logging.ERROR) + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + loop.run_until_complete(main()) + finally: + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/examples/python/multimedia_example.py b/examples/python/multimedia_example.py index 6c8bc5995..5b7a581fc 100644 --- a/examples/python/multimedia_example.py +++ b/examples/python/multimedia_example.py @@ -1,9 +1,11 @@ import os import asyncio import pathlib +import logging import cognee from cognee.api.v1.search import SearchType +from cognee.shared.utils import setup_logging # Prerequisites: # 1. Copy `.env.template` and rename it to `.env`. @@ -45,4 +47,10 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) + setup_logging(logging.ERROR) + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + loop.run_until_complete(main()) + finally: + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/examples/python/simple_example.py b/examples/python/simple_example.py index bf3c95de1..27441bb45 100644 --- a/examples/python/simple_example.py +++ b/examples/python/simple_example.py @@ -1,6 +1,8 @@ import asyncio import cognee +import logging from cognee.api.v1.search import SearchType +from cognee.shared.utils import setup_logging # Prerequisites: # 1. Copy `.env.template` and rename it to `.env`. @@ -66,4 +68,10 @@ async def main(): if __name__ == "__main__": - asyncio.run(main()) + setup_logging(logging.ERROR) + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + try: + loop.run_until_complete(main()) + finally: + loop.run_until_complete(loop.shutdown_asyncgens()) diff --git a/modal_deployment.py b/modal_deployment.py new file mode 100644 index 000000000..5622f96e6 --- /dev/null +++ b/modal_deployment.py @@ -0,0 +1,94 @@ +import modal +import os +import logging +import asyncio +import cognee +import signal + +from cognee.api.v1.search import SearchType +from cognee.shared.utils import setup_logging + +app = modal.App("cognee-runner") + +image = ( + modal.Image.from_dockerfile(path="Dockerfile_modal", force_build=False) + .copy_local_file("pyproject.toml", "pyproject.toml") + .copy_local_file("poetry.lock", "poetry.lock") + .env({"ENV": os.getenv("ENV"), "LLM_API_KEY": os.getenv("LLM_API_KEY")}) + .poetry_install_from_file(poetry_pyproject_toml="pyproject.toml") + .pip_install("protobuf", "h2") +) + + +@app.function(image=image, concurrency_limit=10) +async def entry(text: str, query: str): + setup_logging(logging.ERROR) + await cognee.prune.prune_data() + await cognee.prune.prune_system(metadata=True) + await cognee.add(text) + await cognee.cognify() + search_results = await cognee.search(SearchType.GRAPH_COMPLETION, query_text=query) + + return { + "text": text, + "query": query, + "answer": search_results[0] if search_results else None, + } + + +@app.local_entrypoint() +async def main(): + text_queries = [ + { + "text": "NASA's Artemis program aims to return humans to the Moon by 2026, focusing on sustainable exploration and preparing for future Mars missions.", + "query": "When does NASA plan to return humans to the Moon under the Artemis program?", + }, + { + "text": "According to a 2022 UN report, global food waste amounts to approximately 931 million tons annually, with households contributing 61% of the total.", + "query": "How much food waste do households contribute annually according to the 2022 UN report?", + }, + { + "text": "The 2021 census data revealed that Tokyo's population reached 14 million, reflecting a 2.1% increase compared to the previous census conducted in 2015.", + "query": "What was Tokyo's population according to the 2021 census data?", + }, + { + "text": "A recent study published in the Journal of Nutrition found that consuming 30 grams of almonds daily can lower LDL cholesterol levels by 7% over a 12-week period.", + "query": "How much can daily almond consumption lower LDL cholesterol according to the study?", + }, + { + "text": "Amazon's Prime membership grew to 200 million subscribers in 2023, marking a 10% increase from the previous year, driven by exclusive content and faster delivery options.", + "query": "How many Prime members did Amazon have in 2023?", + }, + { + "text": "A new report by the International Energy Agency states that global renewable energy capacity increased by 295 gigawatts in 2022, primarily driven by solar and wind power expansion.", + "query": "By how much did global renewable energy capacity increase in 2022 according to the report?", + }, + { + "text": "The World Health Organization reported in 2023 that the global life expectancy has risen to 73.4 years, an increase of 5.5 years since the year 2000.", + "query": "What is the current global life expectancy according to the WHO's 2023 report?", + }, + { + "text": "The FIFA World Cup 2022 held in Qatar attracted a record-breaking audience of 5 billion people across various digital and traditional broadcasting platforms.", + "query": "How many people watched the FIFA World Cup 2022?", + }, + { + "text": "The European Space Agency's JUICE mission, launched in 2023, aims to explore Jupiter's icy moons, including Ganymede, Europa, and Callisto, over the next decade.", + "query": "Which moons is the JUICE mission set to explore?", + }, + { + "text": "According to a report by the International Labour Organization, the global unemployment rate in 2023 was estimated at 5.4%, reflecting a slight decrease compared to the previous year.", + "query": "What was the global unemployment rate in 2023 according to the ILO?", + }, + ] + + tasks = [entry.remote.aio(item["text"], item["query"]) for item in text_queries] + + results = await asyncio.gather(*tasks) + + print("\nFinal Results:") + + for result in results: + print(result) + print("----") + + os.kill(os.getpid(), signal.SIGTERM) diff --git a/notebooks/cognee_demo.ipynb b/notebooks/cognee_demo.ipynb index f59f6338c..a90c02958 100644 --- a/notebooks/cognee_demo.ipynb +++ b/notebooks/cognee_demo.ipynb @@ -265,6 +265,7 @@ }, { "cell_type": "code", + "execution_count": null, "id": "df16431d0f48b006", "metadata": { "ExecuteTime": { @@ -272,6 +273,7 @@ "start_time": "2024-12-24T11:53:59.347420Z" } }, + "outputs": [], "source": [ "job_position = \"\"\"Senior Data Scientist (Machine Learning)\n", "\n", @@ -298,12 +300,11 @@ "Strong problem-solving skills and attention to detail.\n", "Candidate CVs\n", "\"\"\"\n" - ], - "outputs": [], - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": null, "id": "9086abf3af077ab4", "metadata": { "ExecuteTime": { @@ -311,6 +312,7 @@ "start_time": "2024-12-24T11:53:59.363662Z" } }, + "outputs": [], "source": [ "job_1 = \"\"\"\n", "CV 1: Relevant\n", @@ -343,12 +345,11 @@ "Big Data Technologies: Hadoop, Spark\n", "Data Visualization: Tableau, Matplotlib\n", "\"\"\"" - ], - "outputs": [], - "execution_count": 2 + ] }, { "cell_type": "code", + "execution_count": null, "id": "a9de0cc07f798b7f", "metadata": { "ExecuteTime": { @@ -356,6 +357,7 @@ "start_time": "2024-12-24T11:53:59.371152Z" } }, + "outputs": [], "source": [ "job_2 = \"\"\"\n", "CV 2: Relevant\n", @@ -387,12 +389,11 @@ "Data Visualization: Seaborn, Plotly\n", "Databases: MySQL, MongoDB\n", "\"\"\"" - ], - "outputs": [], - "execution_count": 3 + ] }, { "cell_type": "code", + "execution_count": null, "id": "185ff1c102d06111", "metadata": { "ExecuteTime": { @@ -400,6 +401,7 @@ "start_time": "2024-12-24T11:53:59.959103Z" } }, + "outputs": [], "source": [ "job_3 = \"\"\"\n", "CV 3: Relevant\n", @@ -431,12 +433,11 @@ "Statistical Analysis: SAS, SPSS\n", "Cloud Platforms: AWS, Azure\n", "\"\"\"" - ], - "outputs": [], - "execution_count": 4 + ] }, { "cell_type": "code", + "execution_count": null, "id": "d55ce4c58f8efb67", "metadata": { "ExecuteTime": { @@ -444,6 +445,7 @@ "start_time": "2024-12-24T11:54:00.654716Z" } }, + "outputs": [], "source": [ "job_4 = \"\"\"\n", "CV 4: Not Relevant\n", @@ -473,12 +475,11 @@ "Web Design: HTML, CSS\n", "Specialties: Branding and Identity, Typography\n", "\"\"\"" - ], - "outputs": [], - "execution_count": 5 + ] }, { "cell_type": "code", + "execution_count": null, "id": "ca4ecc32721ad332", "metadata": { "ExecuteTime": { @@ -486,6 +487,7 @@ "start_time": "2024-12-24T11:54:01.183028Z" } }, + "outputs": [], "source": [ "job_5 = \"\"\"\n", "CV 5: Not Relevant\n", @@ -515,9 +517,7 @@ "CRM Software: Salesforce, Zoho\n", "Negotiation and Relationship Building\n", "\"\"\"" - ], - "outputs": [], - "execution_count": 6 + ] }, { "cell_type": "markdown", @@ -529,6 +529,7 @@ }, { "cell_type": "code", + "execution_count": null, "id": "bce39dc6", "metadata": { "ExecuteTime": { @@ -536,6 +537,7 @@ "start_time": "2024-12-24T11:54:04.414132Z" } }, + "outputs": [], "source": [ "import os\n", "\n", @@ -573,12 +575,11 @@ "# os.environ[\"DB_PORT\"]=\"5432\"\n", "# os.environ[\"DB_USERNAME\"]=\"cognee\"\n", "# os.environ[\"DB_PASSWORD\"]=\"cognee\"" - ], - "outputs": [], - "execution_count": 7 + ] }, { "cell_type": "code", + "execution_count": null, "id": "9f1a1dbd", "metadata": { "ExecuteTime": { @@ -586,6 +587,7 @@ "start_time": "2024-12-24T11:54:07.425202Z" } }, + "outputs": [], "source": [ "# Reset the cognee system with the following command:\n", "\n", @@ -593,32 +595,7 @@ "\n", "await cognee.prune.prune_data()\n", "await cognee.prune.prune_system(metadata=True)" - ], - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "File /Users/vasilije/cognee/cognee/.cognee_system/databases/cognee_graph.pkl not found. Initializing an empty graph." - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Database deleted successfully.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vasilije/cognee/.venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "execution_count": 8 + ] }, { "cell_type": "markdown", @@ -630,6 +607,7 @@ }, { "cell_type": "code", + "execution_count": null, "id": "904df61ba484a8e5", "metadata": { "ExecuteTime": { @@ -637,41 +615,12 @@ "start_time": "2024-12-24T11:54:23.756587Z" } }, + "outputs": [], "source": [ "import cognee\n", "\n", "await cognee.add([job_1, job_2, job_3, job_4, job_5, job_position], \"example\")" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "User df77f15b-a077-4c86-a3e4-c059bf4cacb9 has registered.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/vasilije/cognee/.venv/lib/python3.11/site-packages/dlt/destinations/impl/sqlalchemy/merge_job.py:194: SAWarning: Table 'file_metadata' already exists within the given MetaData - not copying.\n", - " staging_table_obj = table_obj.to_metadata(\n", - "/Users/vasilije/cognee/.venv/lib/python3.11/site-packages/dlt/destinations/impl/sqlalchemy/merge_job.py:229: SAWarning: implicitly coercing SELECT object to scalar subquery; please use the .scalar_subquery() method to produce a scalar subquery.\n", - " order_by=order_dir_func(order_by_col),\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pipeline file_load_from_filesystem load step completed in 0.03 seconds\n", - "1 load package(s) were loaded to destination sqlalchemy and into dataset main\n", - "The sqlalchemy destination used sqlite:////Users/vasilije/cognee/cognee/.cognee_system/databases/cognee_db location to store data\n", - "Load package 1735041267.4777632 is LOADED and contains no failed jobs\n" - ] - } - ], - "execution_count": 9 + ] }, { "cell_type": "markdown", @@ -683,6 +632,7 @@ }, { "cell_type": "code", + "execution_count": null, "id": "7c431fdef4921ae0", "metadata": { "ExecuteTime": { @@ -690,6 +640,7 @@ "start_time": "2024-12-24T11:54:44.723877Z" } }, + "outputs": [], "source": [ "from cognee.shared.data_models import KnowledgeGraph\n", "from cognee.modules.data.models import Dataset, Data\n", @@ -699,6 +650,7 @@ "from cognee.modules.pipelines import run_tasks\n", "from cognee.modules.users.models import User\n", "from cognee.tasks.documents import check_permissions_on_documents, classify_documents, extract_chunks_from_documents\n", + "from cognee.infrastructure.llm import get_max_chunk_tokens\n", "from cognee.tasks.graph import extract_graph_from_data\n", "from cognee.tasks.storage import add_data_points\n", "from cognee.tasks.summarization import summarize_text\n", @@ -712,7 +664,7 @@ " tasks = [\n", " Task(classify_documents),\n", " Task(check_permissions_on_documents, user = user, permissions = [\"write\"]),\n", - " Task(extract_chunks_from_documents), # Extract text chunks based on the document type.\n", + " Task(extract_chunks_from_documents, max_chunk_tokens=get_max_chunk_tokens()), # Extract text chunks based on the document type.\n", " Task(extract_graph_from_data, graph_model = KnowledgeGraph, task_config = { \"batch_size\": 10 }), # Generate knowledge graphs from the document chunks.\n", " Task(\n", " summarize_text,\n", @@ -728,12 +680,11 @@ " print(result)\n", " except Exception as error:\n", " raise error\n" - ], - "outputs": [], - "execution_count": 10 + ] }, { "cell_type": "code", + "execution_count": null, "id": "f0a91b99c6215e09", "metadata": { "ExecuteTime": { @@ -741,6 +692,7 @@ "start_time": "2024-12-24T11:54:47.384342Z" } }, + "outputs": [], "source": [ "from cognee.modules.users.methods import get_default_user\n", "from cognee.modules.data.methods import get_datasets_by_name\n", @@ -750,27 +702,7 @@ "datasets = await get_datasets_by_name([\"example\"], user.id)\n", "\n", "await run_cognify_pipeline(datasets[0], user)" - ], - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "File /Users/vasilije/cognee/cognee/.cognee_system/databases/cognee_graph.pkl not found. Initializing an empty graph./Users/vasilije/cognee/.venv/lib/python3.11/site-packages/pydantic/main.py:1522: RuntimeWarning: fields may not start with an underscore, ignoring \"_metadata\"\n", - " warnings.warn(f'fields may not start with an underscore, ignoring \"{f_name}\"', RuntimeWarning)\n", - "/Users/vasilije/cognee/.venv/lib/python3.11/site-packages/pydantic/main.py:1522: RuntimeWarning: fields may not start with an underscore, ignoring \"__tablename__\"\n", - " warnings.warn(f'fields may not start with an underscore, ignoring \"{f_name}\"', RuntimeWarning)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[TextSummary(id=UUID('92b5d0a7-f980-529d-bb5b-48e72825a01a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='Experienced Senior Data Scientist with expertise in machine learning and predictive modeling, demonstrating over 8 years in the field.', made_from=DocumentChunk(id=UUID('70b823e2-5b12-57b5-ad8d-798e1d721f8e'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='\\nCV 1: Relevant\\nName: Dr. Emily Carter\\nContact Information:\\n\\nEmail: emily.carter@example.com\\nPhone: (555) 123-4567\\nSummary:\\n\\nSenior Data Scientist with over 8 years of experience in machine learning and predictive analytics. Expertise in developing advanced algorithms and deploying scalable models in production environments.\\n\\nEducation:\\n\\nPh.D. in Computer Science, Stanford University (2014)\\nB.S. in Mathematics, University of California, Berkeley (2010)\\nExperience:\\n\\nSenior Data Scientist, InnovateAI Labs (2016 – Present)\\nLed a team in developing machine learning models for natural language processing applications.\\nImplemented deep learning algorithms that improved prediction accuracy by 25%.\\nCollaborated with cross-functional teams to integrate models into cloud-based platforms.\\nData Scientist, DataWave Analytics (2014 – 2016)\\nDeveloped predictive models for customer segmentation and churn analysis.\\nAnalyzed large datasets using Hadoop and Spark frameworks.\\nSkills:\\n\\nProgramming Languages: Python, R, SQL\\nMachin e Learning: TensorFlow, Keras, Scikit-Learn\\nBig Data Technologies: Hadoop, Spark\\nData Visualization: Tableau, Matplotlib\\n', word_count=133, chunk_index=0, cut_type='sentence_cut', is_part_of=TextDocument(id=UUID('11a2b08a-c160-5961-80b7-b3498eafa973'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='text_85410f4ad1197f5974aef9aed6f103c8', raw_data_location='/Users/vasilije/cognee/cognee/.data_storage/data/text_85410f4ad1197f5974aef9aed6f103c8.txt', metadata_id=UUID('11a2b08a-c160-5961-80b7-b3498eafa973'), mime_type='text/plain', type='text'), contains=[Entity(id=UUID('29e771c8-4c3f-52de-9511-6b705878e130'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='dr. emily carter', is_a=EntityType(id=UUID('d072ba0f-e1a9-58bf-9974-e1802adc8134'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='person', description='person'), description='Senior Data Scientist with over 8 years of experience in machine learning and predictive analytics.'), Entity(id=UUID('ce8b394a-b30e-52fc-b80a-6352edc60e5b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='stanford university', is_a=EntityType(id=UUID('d3d7b6b4-9b0d-52e8-9e09-a9e9cf4b5a4d'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='organization', description='organization'), description='Prestigious university located in Stanford, California.'), Entity(id=UUID('2c02c93c-9cd1-56b8-9cc0-55ff0b290e57'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='university of california, berkeley', is_a=EntityType(id=UUID('d3d7b6b4-9b0d-52e8-9e09-a9e9cf4b5a4d'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='organization', description='organization'), description='Public research university located in Berkeley, California.'), Entity(id=UUID('9780afb1-dccc-53eb-9a30-c0d4ce033711'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='innovateai labs', is_a=EntityType(id=UUID('d3d7b6b4-9b0d-52e8-9e09-a9e9cf4b5a4d'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='organization', description='organization'), description='A lab focused on artificial intelligence projects.'), Entity(id=UUID('50d0a685-5300-544f-b081-edca4b625886'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='datawave analytics', is_a=EntityType(id=UUID('d3d7b6b4-9b0d-52e8-9e09-a9e9cf4b5a4d'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='organization', description='organization'), description='Analytics firm specialized in data-driven insights.'), Entity(id=UUID('c95db510-e2ee-5a00-bded-20bbcb50c492'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='python', is_a=EntityType(id=UUID('80d409bb-e431-5939-a1ad-3acd96267128'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='programming language', description='programming language'), description='A high-level programming language used for general-purpose programming.'), Entity(id=UUID('39bd9707-8098-52ed-9cbf-bbdd26b963fb'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='r', is_a=EntityType(id=UUID('80d409bb-e431-5939-a1ad-3acd96267128'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='programming language', description='programming language'), description='A programming language and environment for statistical computing and graphics.'), Entity(id=UUID('1ff6821a-b207-5050-83e9-37ff67a27d03'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='sql', is_a=EntityType(id=UUID('80d409bb-e431-5939-a1ad-3acd96267128'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='programming language', description='programming language'), description='A domain-specific language used in programming and managing relational databases.'), Entity(id=UUID('6e72f6f5-0452-5d42-a4e8-4aba6a614cb1'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='tensorflow', is_a=EntityType(id=UUID('9ffe9ce7-8938-5a5c-8d03-5f1a4c5210a1'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='machine learning framework', description='machine learning framework'), description='An open-source software library for dataflow and differentiable programming across a range of tasks.'), Entity(id=UUID('ab85cdff-2a98-5c6d-99a3-df1f40f4ec16'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='keras', is_a=EntityType(id=UUID('9ffe9ce7-8938-5a5c-8d03-5f1a4c5210a1'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='machine learning framework', description='machine learning framework'), description='An open-source neural network library written in Python that runs on top of TensorFlow.'), Entity(id=UUID('37eecdcc-fb56-519c-bc18-d0d3afea0c0d'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='scikit-learn', is_a=EntityType(id=UUID('9ffe9ce7-8938-5a5c-8d03-5f1a4c5210a1'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='machine learning framework', description='machine learning framework'), description='A free software machine learning library for the Python programming language.'), Entity(id=UUID('f9a0eeca-c9ff-53b3-90eb-347254d7d7eb'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='hadoop', is_a=EntityType(id=UUID('7c2287d0-16fc-53dc-86ce-8d8e61c8642c'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='big data technology', description='big data technology'), description='An open-source framework for storing and processing large datasets in a distributed computing environment.'), Entity(id=UUID('46a235af-5ed5-5023-a4ec-c253e3f93031'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='spark', is_a=EntityType(id=UUID('7c2287d0-16fc-53dc-86ce-8d8e61c8642c'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='big data technology', description='big data technology'), description='An open-source unified analytics engine for large-scale data processing.'), Entity(id=UUID('c55004f3-8a6d-5130-b8bd-ed8278daa9a4'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='tableau', is_a=EntityType(id=UUID('674cc5fa-7849-575a-917f-90b7b77f52b3'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='data visualization software', description='data visualization software'), description='A visual analytics platform transforming the way we use data to solve problems.'), Entity(id=UUID('3c7adf8f-ef23-5330-a3fe-6a0b791cee2b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='matplotlib', is_a=EntityType(id=UUID('3f3619fc-ebd1-50ed-adde-cf94e8bb3c1b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='data visualization library', description='data visualization library'), description='A plotting library for the Python programming language and its numerical mathematics extension NumPy.')])), TextSummary(id=UUID('2f680bef-2edd-566e-b98c-78d549799e77'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='Senior Data Scientist specializing in Machine Learning at TechNova Solutions', made_from=DocumentChunk(id=UUID('eb6617b8-c78c-519b-b765-1eefc2e3a0d7'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='Senior Data Scientist (Machine Learning)\\n\\nCompany: TechNova Solutions\\nLocation: San Francisco, CA\\n\\nJob Description:\\n\\nTechNova Solutions is seeking a Senior Data Scientist specializing in Machine Learning to join our dynamic analytics team. The ideal candidate will have a strong background in developing and deploying machine learning models, working with large datasets, and translating complex data into actionable insights.\\n\\nResponsibilities:\\n\\nDevelop and implement advanced machine learning algorithms and models.\\nAnalyze large, complex datasets to extract meaningful patterns and insights.\\nCollaborate with cross-functional teams to integrate predictive models into products.\\nStay updated with the latest advancements in machine learning and data science.\\nMentor junior data scientists and provide technical guidance.\\nQualifications:\\n\\nMaster’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.\\n5+ years of experience in data science and machine learning.\\nProficient in Python, R, and SQL.\\nExpe rience with deep learning frameworks (e.g., TensorFlow, PyTorch).\\nStrong problem-solving skills and attention to detail.\\nCandidate CVs\\n', word_count=153, chunk_index=0, cut_type='sentence_cut', is_part_of=TextDocument(id=UUID('171f3035-4c37-5f7b-97c8-6b222404cc9a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='text_81a5a96a9a7325d40521ea453778ebe0', raw_data_location='/Users/vasilije/cognee/cognee/.data_storage/data/text_81a5a96a9a7325d40521ea453778ebe0.txt', metadata_id=UUID('171f3035-4c37-5f7b-97c8-6b222404cc9a'), mime_type='text/plain', type='text'), contains=[Entity(id=UUID('453a45c9-14e7-5b73-adb8-55991096fef0'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='technova solutions', is_a=EntityType(id=UUID('a6ed6bf1-fe31-5dfe-8ab4-484691fdf219'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='company', description='company'), description='A technology company specializing in data analytics and machine learning.'), Entity(id=UUID('435dbd37-ab20-503c-9e99-ab8b8a3484e5'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='senior data scientist', is_a=EntityType(id=UUID('524c6bbb-1534-5a51-8068-18dd4ae171eb'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='profession', description='profession'), description='A role focused on advanced data analysis and machine learning.'), Entity(id=UUID('198e2ab8-75e9-5931-97ab-da9a5a8e188c'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='san francisco, ca', is_a=EntityType(id=UUID('19dd7d4d-a966-5ed5-82a0-6ae377761a29'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='location', description='location'), description='A city in California, USA.'), Entity(id=UUID('5187986a-7305-5a63-b057-8f2c097419eb'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='machine learning', is_a=EntityType(id=UUID('0198571b-3e94-50ea-8b9f-19e3a31080c0'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='field', description='field'), description='A subset of artificial intelligence focused on the development of algorithms that enable computers to learn from data.'), Entity(id=UUID('d6545b21-153c-58ba-be47-46e5216521a3'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='data science', is_a=EntityType(id=UUID('0198571b-3e94-50ea-8b9f-19e3a31080c0'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='field', description='field'), description='A multidisciplinary field that uses scientific methods to extract knowledge and insights from data.'), Entity(id=UUID('c0d95499-de6b-5fcf-b0f5-9cbf427ad5c6'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='pytorch', is_a=EntityType(id=UUID('36a32bd3-8880-547a-949b-8447477d1ef5'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='framework', description='framework'), description='An open-source machine learning framework for deep learning.'), Entity(id=UUID('62b4dda1-de4a-5098-a56e-d3fe81f84dbc'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='masters or ph.d. in data science', is_a=EntityType(id=UUID('a49b283a-ce92-50e0-b7fa-ca7c628eb01a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='degree', description='degree'), description='Advanced academic degree in data science or related fields.')])), TextSummary(id=UUID('5c988618-db52-5979-9cf8-db80c0098285'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='Data Scientist with expertise in machine learning and statistical analysis, adept at managing extensive datasets and converting data into practical business solutions.', made_from=DocumentChunk(id=UUID('a6e82ac7-e791-5d6b-b4a9-f5e41cbe95bf'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='\\nCV 2: Relevant\\nName: Michael Rodriguez\\nContact Information:\\n\\nEmail: michael.rodriguez@example.com\\nPhone: (555) 234-5678\\nSummary:\\n\\nData Scientist with a strong background in machine learning and statistical modeling. Skilled in handling large datasets and translating data into actionable business insights.\\n\\nEducation:\\n\\nM.S. in Data Science, Carnegie Mellon University (2013)\\nB.S. in Computer Science, University of Michigan (2011)\\nExperience:\\n\\nSenior Data Scientist, Alpha Analytics (2017 – Present)\\nDeveloped machine learning models to optimize marketing strategies.\\nReduced customer acquisition cost by 15% through predictive modeling.\\nData Scientist, TechInsights (2013 – 2017)\\nAnalyzed user behavior data to improve product features.\\nImplemented A/B testing frameworks to evaluate product changes.\\nSkills:\\n\\nProgramming Languages: Python, Java, SQL\\nMachine Learning: Scikit-Learn, XGBoost\\nData Visualization: Seaborn, Plotly\\nDatabases: MySQL, MongoDB\\n', word_count=108, chunk_index=0, cut_type='sentence_cut', is_part_of=TextDocument(id=UUID('1f078b0a-3cc1-57a9-9802-f78565d49f29'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='text_f0f63a5c88dbbeef1eca23d32848220c', raw_data_location='/Users/vasilije/cognee/cognee/.data_storage/data/text_f0f63a5c88dbbeef1eca23d32848220c.txt', metadata_id=UUID('1f078b0a-3cc1-57a9-9802-f78565d49f29'), mime_type='text/plain', type='text'), contains=[Entity(id=UUID('73ae630f-7b09-5dce-8c18-45d0a57b30f9'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='michael rodriguez', is_a=EntityType(id=UUID('d072ba0f-e1a9-58bf-9974-e1802adc8134'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='person', description='person'), description='Data Scientist with a strong background in machine learning and statistical modeling.'), Entity(id=UUID('5534e0b0-d0c4-5ab9-82e9-91bed36f70bd'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='carnegie mellon university', is_a=EntityType(id=UUID('912b273c-683d-53ea-8ffe-aadef0b84237'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='educational institution', description='educational institution'), description='University known for its data science program.'), Entity(id=UUID('0af613e0-c11b-550d-ada2-2c2aa6550884'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='university of michigan', is_a=EntityType(id=UUID('912b273c-683d-53ea-8ffe-aadef0b84237'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='educational institution', description='educational institution'), description='University known for its computer science program.'), Entity(id=UUID('04a91fef-8a07-5d50-8f1b-46f3afeec497'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='alpha analytics', is_a=EntityType(id=UUID('a6ed6bf1-fe31-5dfe-8ab4-484691fdf219'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='company', description='company'), description='Company where Michael Rodriguez works as a Senior Data Scientist.'), Entity(id=UUID('3f848ed6-902f-5a8e-9577-cb67f8c17acd'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='techinsights', is_a=EntityType(id=UUID('a6ed6bf1-fe31-5dfe-8ab4-484691fdf219'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='company', description='company'), description='Company where Michael Rodriguez worked as a Data Scientist.')])), TextSummary(id=UUID('ee6cb607-27eb-5b87-bf2a-305721534263'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='Sales Manager with proven ability to enhance revenue and cultivate effective teams. Strong communicator and leader.', made_from=DocumentChunk(id=UUID('7e35407f-7c59-5429-8824-23f1d17118c0'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text=\"\\nCV 5: Not Relevant\\nName: Jessica Miller\\nContact Information:\\n\\nEmail: jessica.miller@example.com\\nPhone: (555) 567-8901\\nSummary:\\n\\nExperienced Sales Manager with a strong track record in driving sales growth and building high-performing teams. Excellent communication and leadership skills.\\n\\nEducation:\\n\\nB.A. in Business Administration, University of Southern California (2010)\\nExperience:\\n\\nSales Manager, Global Enterprises (2015 – Present)\\nManaged a sales team of 15 members, achieving a 20% increase in annual revenue.\\nDeveloped sales strategies that expanded customer base by 25%.\\nSales Representative, Market Leaders Inc. (2010 – 2015)\\nConsistently exceeded sales targets and received the 'Top Salesperson' award in 2013.\\nSkills:\\n\\nSales Strategy and Planning\\nTeam Leadership and Development\\nCRM Software: Salesforce, Zoho\\nNegotiation and Relationship Building\\n\", word_count=102, chunk_index=0, cut_type='sentence_cut', is_part_of=TextDocument(id=UUID('3c323fc9-9165-52da-a079-2627a9556b08'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='text_9b35c7df1f5d4dc84e78270c0bf9cac6', raw_data_location='/Users/vasilije/cognee/cognee/.data_storage/data/text_9b35c7df1f5d4dc84e78270c0bf9cac6.txt', metadata_id=UUID('3c323fc9-9165-52da-a079-2627a9556b08'), mime_type='text/plain', type='text'), contains=[Entity(id=UUID('36a5e3c8-c5f5-5ab5-8d59-ea69d8b36932'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='jessica miller', is_a=EntityType(id=UUID('d072ba0f-e1a9-58bf-9974-e1802adc8134'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='person', description='person'), description='An experienced sales manager with a strong track record in driving sales growth and building high-performing teams.'), Entity(id=UUID('5c32691d-c0e4-5378-9aab-dda8b0fa3931'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='global enterprises', is_a=EntityType(id=UUID('a6ed6bf1-fe31-5dfe-8ab4-484691fdf219'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='company', description='company'), description='A company where Jessica Miller worked as a Sales Manager.'), Entity(id=UUID('67544857-983a-5152-801d-4fc9d35d14e4'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='market leaders inc.', is_a=EntityType(id=UUID('a6ed6bf1-fe31-5dfe-8ab4-484691fdf219'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='company', description='company'), description='A company where Jessica Miller worked as a Sales Representative.'), Entity(id=UUID('f39d6c00-689b-5fd2-9021-893b28ac6ff2'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='university of southern california', is_a=EntityType(id=UUID('912b273c-683d-53ea-8ffe-aadef0b84237'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='educational institution', description='educational institution'), description='University where Jessica Miller obtained her degree in Business Administration.'), Entity(id=UUID('0abc801d-38ca-5003-b974-b60f1956c94a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='2010', is_a=EntityType(id=UUID('d61d99ac-b291-5666-9748-3e80e1c8b56a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='date', description='date'), description='Year Jessica Miller graduated from University of Southern California.'), Entity(id=UUID('7c8b43c1-e133-52e6-99aa-239534f1ed45'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='2015', is_a=EntityType(id=UUID('d61d99ac-b291-5666-9748-3e80e1c8b56a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='date', description='date'), description='Year Jessica Miller started working as Sales Manager at Global Enterprises.'), Entity(id=UUID('2f4749e9-e1e4-5af0-be80-2a10d07557ff'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='present', is_a=EntityType(id=UUID('d61d99ac-b291-5666-9748-3e80e1c8b56a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='date', description='date'), description=\"Current time indicative of Jessica Miller's ongoing role.\")])), TextSummary(id=UUID('d8a8668e-b122-5713-b289-932407bb294e'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='Creative Graphic Designer with 8+ years of expertise in visual design and branding, skilled in Adobe Creative Suite, dedicated to crafting engaging visuals.', made_from=DocumentChunk(id=UUID('c401b5b1-21d8-5830-8c7b-48e7d94c5b95'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='\\nCV 4: Not Relevant\\nName: David Thompson\\nContact Information:\\n\\nEmail: david.thompson@example.com\\nPhone: (555) 456-7890\\nSummary:\\n\\nCreative Graphic Designer with over 8 years of experience in visual design and branding. Proficient in Adobe Creative Suite and passionate about creating compelling visuals.\\n\\nEducation:\\n\\nB.F.A. in Graphic Design, Rhode Island School of Design (2012)\\nExperience:\\n\\nSenior Graphic Designer, CreativeWorks Agency (2015 – Present)\\nLed design projects for clients in various industries.\\nCreated branding materials that increased client engagement by 30%.\\nGraphic Designer, Visual Innovations (2012 – 2015)\\nDesigned marketing collateral, including brochures, logos, and websites.\\nCollaborated with the marketing team to develop cohesive brand strategies.\\nSkills:\\n\\nDesign Software: Adobe Photoshop, Illustrator, InDesign\\nWeb Design: HTML, CSS\\nSpecialties: Branding and Identity, Typography\\n', word_count=108, chunk_index=0, cut_type='sentence_cut', is_part_of=TextDocument(id=UUID('e71daf63-15a0-50fe-a909-766bc8fd311b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='text_9abf20fa7defd7e49296c51b4e38edf2', raw_data_location='/Users/vasilije/cognee/cognee/.data_storage/data/text_9abf20fa7defd7e49296c51b4e38edf2.txt', metadata_id=UUID('e71daf63-15a0-50fe-a909-766bc8fd311b'), mime_type='text/plain', type='text'), contains=[Entity(id=UUID('a4777597-06c7-562c-bc44-56f74571a01a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='david thompson', is_a=EntityType(id=UUID('d072ba0f-e1a9-58bf-9974-e1802adc8134'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='person', description='person'), description='Creative Graphic Designer with over 8 years of experience in visual design and branding.'), Entity(id=UUID('ca20272a-3e88-552f-92fe-491e23f117f8'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='creativeworks agency', is_a=EntityType(id=UUID('d3d7b6b4-9b0d-52e8-9e09-a9e9cf4b5a4d'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='organization', description='organization'), description='An agency where David Thompson is a Senior Graphic Designer.'), Entity(id=UUID('1e97bb97-4d29-5fb8-863a-15ab51f1dd46'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='visual innovations', is_a=EntityType(id=UUID('d3d7b6b4-9b0d-52e8-9e09-a9e9cf4b5a4d'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='organization', description='organization'), description='An organization where David Thompson worked as a Graphic Designer.'), Entity(id=UUID('60b027fe-7bb4-535d-8a47-19f1a491591b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='rhode island school of design', is_a=EntityType(id=UUID('b5866225-05ad-5cfc-908e-c22916c6a1c6'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='institution', description='institution'), description='Educational institution where David Thompson earned his B.F.A. in Graphic Design.'), Entity(id=UUID('7e3df89c-2691-580b-84dc-378cb1df3db6'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='adobe creative suite', is_a=EntityType(id=UUID('2d66edc2-1e14-55ab-8304-680b514a597a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='software', description='software'), description='A suite of graphic design, video editing, and web development applications.'), Entity(id=UUID('2a0f9b58-c695-5bad-baa2-fd2da02da013'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='html', is_a=EntityType(id=UUID('c90c7d6b-3532-5dcf-91e1-4a0e1f179794'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='language', description='language'), description='A markup language for creating web pages and applications.'), Entity(id=UUID('9b062f3c-fe02-5427-9b44-b287a1cac367'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='css', is_a=EntityType(id=UUID('c90c7d6b-3532-5dcf-91e1-4a0e1f179794'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='language', description='language'), description='A stylesheet language used for describing the presentation of a document written in HTML.')])), TextSummary(id=UUID('8aedca6b-fa78-5987-a79b-3b0bebff8eb1'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='Data Scientist with 6 years of expertise in machine learning, focused on utilizing data for business improvement and product enhancement.', made_from=DocumentChunk(id=UUID('00692e43-9f02-54d0-b695-44bf47342d36'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, text='\\nCV 3: Relevant\\nName: Sarah Nguyen\\nContact Information:\\n\\nEmail: sarah.nguyen@example.com\\nPhone: (555) 345-6789\\nSummary:\\n\\nData Scientist specializing in machine learning with 6 years of experience. Passionate about leveraging data to drive business solutions and improve product performance.\\n\\nEducation:\\n\\nM.S. in Statistics, University of Washington (2014)\\nB.S. in Applied Mathematics, University of Texas at Austin (2012)\\nExperience:\\n\\nData Scientist, QuantumTech (2016 – Present)\\nDesigned and implemented machine learning algorithms for financial forecasting.\\nImproved model efficiency by 20% through algorithm optimization.\\nJunior Data Scientist, DataCore Solutions (2014 – 2016)\\nAssisted in developing predictive models for supply chain optimization.\\nConducted data cleaning and preprocessing on large datasets.\\nSkills:\\n\\nProgramming Languages: Python, R\\nMachine Learning Frameworks: PyTorch, Scikit-Learn\\nStatistical Analysis: SAS, SPSS\\nCloud Platforms: AWS, Azure\\n', word_count=110, chunk_index=0, cut_type='sentence_cut', is_part_of=TextDocument(id=UUID('e7d6246b-e414-5b9d-8daa-6d4434b7fa47'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='text_f8c7482e727f228001b0046ed68d656f', raw_data_location='/Users/vasilije/cognee/cognee/.data_storage/data/text_f8c7482e727f228001b0046ed68d656f.txt', metadata_id=UUID('e7d6246b-e414-5b9d-8daa-6d4434b7fa47'), mime_type='text/plain', type='text'), contains=[Entity(id=UUID('4d8dda57-2681-5264-a2bd-e2ddfe66a785'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='sarah nguyen', is_a=EntityType(id=UUID('d072ba0f-e1a9-58bf-9974-e1802adc8134'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='person', description='person'), description='Data Scientist specializing in machine learning with 6 years of experience.'), Entity(id=UUID('ae74a35b-d5f1-5622-ade1-6703d5e069fb'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='university of washington', is_a=EntityType(id=UUID('912b273c-683d-53ea-8ffe-aadef0b84237'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='educational institution', description='educational institution'), description='University located in Seattle, Washington.'), Entity(id=UUID('301b3cf8-5a5c-585e-80bd-f79901e4368c'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='university of texas at austin', is_a=EntityType(id=UUID('912b273c-683d-53ea-8ffe-aadef0b84237'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='educational institution', description='educational institution'), description='Public research university located in Austin, Texas.'), Entity(id=UUID('0d980f2a-09dd-581e-acc3-cc2d87c1bab4'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='quantumtech', is_a=EntityType(id=UUID('a6ed6bf1-fe31-5dfe-8ab4-484691fdf219'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='company', description='company'), description='Company where Sarah Nguyen works as a Data Scientist from 2016 to present.'), Entity(id=UUID('95ac0551-38fc-5187-a422-533aeb7e8db0'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='datacore solutions', is_a=EntityType(id=UUID('a6ed6bf1-fe31-5dfe-8ab4-484691fdf219'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='company', description='company'), description='Company where Sarah Nguyen worked as a Junior Data Scientist from 2014 to 2016.'), Entity(id=UUID('3edcdf3f-25af-57a3-8878-8008bd7ea05a'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='aws', is_a=EntityType(id=UUID('d84d991a-dab3-5c36-8806-df076ccb731b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='cloud platform', description='cloud platform'), description='Amazon Web Services, a cloud computing platform.'), Entity(id=UUID('8b431923-4aa2-5886-a661-b8de0f888a9b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='azure', is_a=EntityType(id=UUID('d84d991a-dab3-5c36-8806-df076ccb731b'), updated_at=datetime.datetime(2024, 12, 24, 11, 54, 13, 481297, tzinfo=datetime.timezone.utc), topological_rank=0, name='cloud platform', description='cloud platform'), description='Microsoft Azure, a cloud computing service created by Microsoft.')]))]\n" - ] - } - ], - "execution_count": 11 + ] }, { "cell_type": "markdown", @@ -782,6 +714,7 @@ }, { "cell_type": "code", + "execution_count": null, "id": "080389e5", "metadata": { "ExecuteTime": { @@ -789,6 +722,7 @@ "start_time": "2024-12-29T16:55:46.922951Z" } }, + "outputs": [], "source": [ "import os\n", "from cognee.shared.utils import render_graph\n", @@ -801,42 +735,23 @@ "\n", "graph_url = await render_graph(graph_engine.graph)\n", "print(graph_url)" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Graph is visualized at: https://hub.graphistry.com/graph/graph.html?dataset=cc21b1d2d6074323aa37af53e693b1a4&type=arrow&viztoken=db05565e-79e9-4fe3-99b2-b7a2e6d48eff&usertag=5f822e63-pygraphistry-0.33.9&splashAfter=1735491366&info=true\n", - "https://hub.graphistry.com/graph/graph.html?dataset=cc21b1d2d6074323aa37af53e693b1a4&type=arrow&viztoken=db05565e-79e9-4fe3-99b2-b7a2e6d48eff&usertag=5f822e63-pygraphistry-0.33.9&splashAfter=1735491366&info=true\n" - ] - } - ], - "execution_count": 12 + ] }, { + "cell_type": "code", + "execution_count": null, + "id": "8f69caa0e353a889", "metadata": { "ExecuteTime": { "end_time": "2024-12-29T16:56:06.571404Z", "start_time": "2024-12-29T16:56:06.569280Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "graph_engine = await get_graph_engine()\n", "print(graph_url)" - ], - "id": "8f69caa0e353a889", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "https://hub.graphistry.com/graph/graph.html?dataset=cc21b1d2d6074323aa37af53e693b1a4&type=arrow&viztoken=db05565e-79e9-4fe3-99b2-b7a2e6d48eff&usertag=5f822e63-pygraphistry-0.33.9&splashAfter=1735491366&info=true\n" - ] - } - ], - "execution_count": 13 + ] }, { "cell_type": "markdown", @@ -848,6 +763,7 @@ }, { "cell_type": "code", + "execution_count": null, "id": "e5e7dfc8", "metadata": { "ExecuteTime": { @@ -855,6 +771,7 @@ "start_time": "2024-12-24T13:44:16.047897Z" } }, + "outputs": [], "source": [ "async def search(\n", " vector_engine,\n", @@ -883,26 +800,7 @@ "results = await search(vector_engine, \"entity_name\", \"sarah.nguyen@example.com\")\n", "for result in results:\n", " print(result)" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'id': '4d8dda57-2681-5264-a2bd-e2ddfe66a785', 'payload': {'id': '4d8dda57-2681-5264-a2bd-e2ddfe66a785', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'sarah nguyen'}, 'score': 0.5708460211753845}\n", - "{'id': '198e2ab8-75e9-5931-97ab-da9a5a8e188c', 'payload': {'id': '198e2ab8-75e9-5931-97ab-da9a5a8e188c', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'san francisco, ca'}, 'score': 1.349550724029541}\n", - "{'id': '435dbd37-ab20-503c-9e99-ab8b8a3484e5', 'payload': {'id': '435dbd37-ab20-503c-9e99-ab8b8a3484e5', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'senior data scientist'}, 'score': 1.3934645652770996}\n", - "{'id': '36a5e3c8-c5f5-5ab5-8d59-ea69d8b36932', 'payload': {'id': '36a5e3c8-c5f5-5ab5-8d59-ea69d8b36932', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'jessica miller'}, 'score': 1.4042469263076782}\n", - "{'id': '73ae630f-7b09-5dce-8c18-45d0a57b30f9', 'payload': {'id': '73ae630f-7b09-5dce-8c18-45d0a57b30f9', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'michael rodriguez'}, 'score': 1.4521806240081787}\n", - "{'id': '29e771c8-4c3f-52de-9511-6b705878e130', 'payload': {'id': '29e771c8-4c3f-52de-9511-6b705878e130', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'dr. emily carter'}, 'score': 1.471205472946167}\n", - "{'id': 'ce8b394a-b30e-52fc-b80a-6352edc60e5b', 'payload': {'id': 'ce8b394a-b30e-52fc-b80a-6352edc60e5b', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'stanford university'}, 'score': 1.4871069192886353}\n", - "{'id': '9780afb1-dccc-53eb-9a30-c0d4ce033711', 'payload': {'id': '9780afb1-dccc-53eb-9a30-c0d4ce033711', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'innovateai labs'}, 'score': 1.498255968093872}\n", - "{'id': '301b3cf8-5a5c-585e-80bd-f79901e4368c', 'payload': {'id': '301b3cf8-5a5c-585e-80bd-f79901e4368c', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'university of texas at austin'}, 'score': 1.5053001642227173}\n", - "{'id': '2c02c93c-9cd1-56b8-9cc0-55ff0b290e57', 'payload': {'id': '2c02c93c-9cd1-56b8-9cc0-55ff0b290e57', 'updated_at': datetime.datetime(2024, 12, 24, 11, 54, 13, 481297), 'topological_rank': 0, 'text': 'university of california, berkeley'}, 'score': 1.5213639736175537}\n" - ] - } - ], - "execution_count": 23 + ] }, { "cell_type": "markdown", @@ -981,455 +879,351 @@ ] }, { + "cell_type": "markdown", + "id": "c9ffa271", + "metadata": {}, + "source": [ + "### Now let's add evals" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afae18ac6a794925", "metadata": { "ExecuteTime": { "end_time": "2024-12-24T13:46:09.644509Z", "start_time": "2024-12-24T13:46:04.538592Z" } }, - "cell_type": "code", + "outputs": [], "source": [ - "!pip install wget\n", - "!pip install deepeval\n", - "!pip install ujson" - ], - "id": "afae18ac6a794925", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requirement already satisfied: wget in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (3.2)\r\n", - "\r\n", - "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m23.2.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m24.3.1\u001B[0m\r\n", - "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n", - "Requirement already satisfied: deepeval in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (2.0.9)\r\n", - "Requirement already satisfied: requests in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (2.32.3)\r\n", - "Requirement already satisfied: tqdm in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (4.67.1)\r\n", - "Requirement already satisfied: pytest in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (7.4.4)\r\n", - "Requirement already satisfied: tabulate in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.9.0)\r\n", - "Requirement already satisfied: typer in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.15.1)\r\n", - "Requirement already satisfied: rich in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (13.9.4)\r\n", - "Requirement already satisfied: protobuf in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (4.25.5)\r\n", - "Requirement already satisfied: pydantic in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (2.8.2)\r\n", - "Requirement already satisfied: sentry-sdk in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (2.19.2)\r\n", - "Requirement already satisfied: pytest-repeat in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.9.3)\r\n", - "Requirement already satisfied: pytest-xdist in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (3.6.1)\r\n", - "Requirement already satisfied: portalocker in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (3.0.0)\r\n", - "Requirement already satisfied: langchain in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.3.13)\r\n", - "Requirement already satisfied: langchain-core in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.3.28)\r\n", - "Requirement already satisfied: langchain_openai in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.2.14)\r\n", - "Requirement already satisfied: langchain-community in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.3.13)\r\n", - "Requirement already satisfied: docx2txt~=0.8 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (0.8)\r\n", - "Requirement already satisfied: importlib-metadata>=6.0.2 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (8.4.0)\r\n", - "Requirement already satisfied: tenacity<=9.0.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (8.5.0)\r\n", - "Requirement already satisfied: opentelemetry-api<2.0.0,>=1.24.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (1.27.0)\r\n", - "Requirement already satisfied: opentelemetry-sdk<2.0.0,>=1.24.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (1.27.0)\r\n", - "Requirement already satisfied: opentelemetry-exporter-otlp-proto-grpc<2.0.0,>=1.24.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (1.27.0)\r\n", - "Requirement already satisfied: grpcio==1.60.1 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (1.60.1)\r\n", - "Requirement already satisfied: nest-asyncio in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deepeval) (1.6.0)\r\n", - "Requirement already satisfied: zipp>=0.5 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from importlib-metadata>=6.0.2->deepeval) (3.21.0)\r\n", - "Requirement already satisfied: deprecated>=1.2.6 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from opentelemetry-api<2.0.0,>=1.24.0->deepeval) (1.2.15)\r\n", - "Requirement already satisfied: googleapis-common-protos~=1.52 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from opentelemetry-exporter-otlp-proto-grpc<2.0.0,>=1.24.0->deepeval) (1.66.0)\r\n", - "Requirement already satisfied: opentelemetry-exporter-otlp-proto-common==1.27.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from opentelemetry-exporter-otlp-proto-grpc<2.0.0,>=1.24.0->deepeval) (1.27.0)\r\n", - "Requirement already satisfied: opentelemetry-proto==1.27.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from opentelemetry-exporter-otlp-proto-grpc<2.0.0,>=1.24.0->deepeval) (1.27.0)\r\n", - "Requirement already satisfied: opentelemetry-semantic-conventions==0.48b0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from opentelemetry-sdk<2.0.0,>=1.24.0->deepeval) (0.48b0)\r\n", - "Requirement already satisfied: typing-extensions>=3.7.4 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from opentelemetry-sdk<2.0.0,>=1.24.0->deepeval) (4.12.2)\r\n", - "Requirement already satisfied: PyYAML>=5.3 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain->deepeval) (6.0.2)\r\n", - "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain->deepeval) (2.0.35)\r\n", - "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain->deepeval) (3.10.10)\r\n", - "Requirement already satisfied: langchain-text-splitters<0.4.0,>=0.3.3 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain->deepeval) (0.3.4)\r\n", - "Requirement already satisfied: langsmith<0.3,>=0.1.17 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain->deepeval) (0.2.4)\r\n", - "Requirement already satisfied: numpy<2,>=1.22.4 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain->deepeval) (1.26.4)\r\n", - "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain-core->deepeval) (1.33)\r\n", - "Requirement already satisfied: packaging<25,>=23.2 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain-core->deepeval) (24.2)\r\n", - "Requirement already satisfied: annotated-types>=0.4.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from pydantic->deepeval) (0.7.0)\r\n", - "Requirement already satisfied: pydantic-core==2.20.1 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from pydantic->deepeval) (2.20.1)\r\n", - "Requirement already satisfied: charset-normalizer<4,>=2 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from requests->deepeval) (3.4.0)\r\n", - "Requirement already satisfied: idna<4,>=2.5 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from requests->deepeval) (3.10)\r\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from requests->deepeval) (2.2.3)\r\n", - "Requirement already satisfied: certifi>=2017.4.17 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from requests->deepeval) (2024.12.14)\r\n", - "Requirement already satisfied: dataclasses-json<0.7,>=0.5.7 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain-community->deepeval) (0.6.7)\r\n", - "Requirement already satisfied: httpx-sse<0.5.0,>=0.4.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain-community->deepeval) (0.4.0)\r\n", - "Requirement already satisfied: pydantic-settings<3.0.0,>=2.4.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain-community->deepeval) (2.7.0)\r\n", - "Requirement already satisfied: openai<2.0.0,>=1.58.1 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain_openai->deepeval) (1.58.1)\r\n", - "Requirement already satisfied: tiktoken<1,>=0.7 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langchain_openai->deepeval) (0.7.0)\r\n", - "Requirement already satisfied: iniconfig in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from pytest->deepeval) (2.0.0)\r\n", - "Requirement already satisfied: pluggy<2.0,>=0.12 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from pytest->deepeval) (1.5.0)\r\n", - "Requirement already satisfied: execnet>=2.1 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from pytest-xdist->deepeval) (2.1.1)\r\n", - "Requirement already satisfied: markdown-it-py>=2.2.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from rich->deepeval) (3.0.0)\r\n", - "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from rich->deepeval) (2.18.0)\r\n", - "Requirement already satisfied: click>=8.0.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from typer->deepeval) (8.1.7)\r\n", - "Requirement already satisfied: shellingham>=1.3.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from typer->deepeval) (1.5.4)\r\n", - "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain->deepeval) (2.4.4)\r\n", - "Requirement already satisfied: aiosignal>=1.1.2 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain->deepeval) (1.3.2)\r\n", - "Requirement already satisfied: attrs>=17.3.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain->deepeval) (24.3.0)\r\n", - "Requirement already satisfied: frozenlist>=1.1.1 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain->deepeval) (1.5.0)\r\n", - "Requirement already satisfied: multidict<7.0,>=4.5 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain->deepeval) (6.1.0)\r\n", - "Requirement already satisfied: yarl<2.0,>=1.12.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from aiohttp<4.0.0,>=3.8.3->langchain->deepeval) (1.18.3)\r\n", - "Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from dataclasses-json<0.7,>=0.5.7->langchain-community->deepeval) (3.23.2)\r\n", - "Requirement already satisfied: typing-inspect<1,>=0.4.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from dataclasses-json<0.7,>=0.5.7->langchain-community->deepeval) (0.9.0)\r\n", - "Requirement already satisfied: wrapt<2,>=1.10 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from deprecated>=1.2.6->opentelemetry-api<2.0.0,>=1.24.0->deepeval) (1.17.0)\r\n", - "Requirement already satisfied: jsonpointer>=1.9 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from jsonpatch<2.0,>=1.33->langchain-core->deepeval) (3.0.0)\r\n", - "Requirement already satisfied: httpx<1,>=0.23.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langsmith<0.3,>=0.1.17->langchain->deepeval) (0.27.0)\r\n", - "Requirement already satisfied: orjson<4.0.0,>=3.9.14 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langsmith<0.3,>=0.1.17->langchain->deepeval) (3.10.12)\r\n", - "Requirement already satisfied: requests-toolbelt<2.0.0,>=1.0.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from langsmith<0.3,>=0.1.17->langchain->deepeval) (1.0.0)\r\n", - "Requirement already satisfied: mdurl~=0.1 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from markdown-it-py>=2.2.0->rich->deepeval) (0.1.2)\r\n", - "Requirement already satisfied: anyio<5,>=3.5.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from openai<2.0.0,>=1.58.1->langchain_openai->deepeval) (4.7.0)\r\n", - "Requirement already satisfied: distro<2,>=1.7.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from openai<2.0.0,>=1.58.1->langchain_openai->deepeval) (1.9.0)\r\n", - "Requirement already satisfied: jiter<1,>=0.4.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from openai<2.0.0,>=1.58.1->langchain_openai->deepeval) (0.5.0)\r\n", - "Requirement already satisfied: sniffio in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from openai<2.0.0,>=1.58.1->langchain_openai->deepeval) (1.3.1)\r\n", - "Requirement already satisfied: python-dotenv>=0.21.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from pydantic-settings<3.0.0,>=2.4.0->langchain-community->deepeval) (1.0.1)\r\n", - "Requirement already satisfied: regex>=2022.1.18 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from tiktoken<1,>=0.7->langchain_openai->deepeval) (2024.11.6)\r\n", - "Requirement already satisfied: httpcore==1.* in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from httpx<1,>=0.23.0->langsmith<0.3,>=0.1.17->langchain->deepeval) (1.0.7)\r\n", - "Requirement already satisfied: h11<0.15,>=0.13 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from httpcore==1.*->httpx<1,>=0.23.0->langsmith<0.3,>=0.1.17->langchain->deepeval) (0.14.0)\r\n", - "Requirement already satisfied: mypy-extensions>=0.3.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain-community->deepeval) (1.0.0)\r\n", - "Requirement already satisfied: propcache>=0.2.0 in /Users/vasilije/cognee/.venv/lib/python3.11/site-packages (from yarl<2.0,>=1.12.0->aiohttp<4.0.0,>=3.8.3->langchain->deepeval) (0.2.1)\r\n", - "\r\n", - "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m23.2.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m24.3.1\u001B[0m\r\n", - "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n", - "Collecting ujson\r\n", - " Obtaining dependency information for ujson from https://files.pythonhosted.org/packages/8d/9f/4731ef0671a0653e9f5ba18db7c4596d8ecbf80c7922dd5fe4150f1aea76/ujson-5.10.0-cp311-cp311-macosx_11_0_arm64.whl.metadata\r\n", - " Downloading ujson-5.10.0-cp311-cp311-macosx_11_0_arm64.whl.metadata (9.3 kB)\r\n", - "Downloading ujson-5.10.0-cp311-cp311-macosx_11_0_arm64.whl (51 kB)\r\n", - "\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m51.8/51.8 kB\u001B[0m \u001B[31m1.7 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\r\n", - "\u001B[?25hInstalling collected packages: ujson\r\n", - "Successfully installed ujson-5.10.0\r\n", - "\r\n", - "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m23.2.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m24.3.1\u001B[0m\r\n", - "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n" - ] - } - ], - "execution_count": 29 + "!pip install \"cognee[deepeval]\"" + ] }, { + "cell_type": "code", + "execution_count": null, + "id": "5f36b67668fdb646", "metadata": { "ExecuteTime": { "end_time": "2024-12-24T15:29:11.123483Z", "start_time": "2024-12-24T15:29:11.120888Z" } }, - "cell_type": "code", - "source": [ - "# from evals.eval_on_hotpot import eval_on_hotpotQA\n", - "# from evals.eval_on_hotpot import answer_with_cognee\n", - "# from evals.eval_on_hotpot import answer_without_cognee\n", - "# from evals.eval_on_hotpot import eval_answers\n", - "# from cognee.base_config import get_base_config\n", - "# from pathlib import Path\n", - "# from tqdm import tqdm\n", - "# import wget\n", - "# import json\n", - "# import statistics" - ], - "id": "5f36b67668fdb646", "outputs": [], - "execution_count": 2 + "source": [ + "from evals.eval_on_hotpot import deepeval_answers, answer_qa_instance\n", + "from evals.qa_dataset_utils import load_qa_dataset\n", + "from evals.qa_metrics_utils import get_metrics\n", + "from evals.qa_context_provider_utils import qa_context_providers\n", + "from pathlib import Path\n", + "from tqdm import tqdm\n", + "import statistics\n", + "import random" + ] }, { - "metadata": { - "ExecuteTime": { - "end_time": "2024-12-24T15:57:30.764970Z", - "start_time": "2024-12-24T15:57:07.861187Z" - } - }, "cell_type": "code", - "source": [ - "# answer_provider = answer_without_cognee # For native LLM answers use answer_without_cognee\n", - "# num_samples = 10 # With cognee, it takes ~1m10s per sample\n", - "# \n", - "# base_config = get_base_config()\n", - "# data_root_dir = base_config.data_root_directory\n", - "# \n", - "# if not Path(data_root_dir).exists():\n", - "# Path(data_root_dir).mkdir()\n", - "# \n", - "# filepath = data_root_dir / Path(\"hotpot_dev_fullwiki_v1.json\")\n", - "# if not filepath.exists():\n", - "# url = 'http://curtis.ml.cmu.edu/datasets/hotpot/hotpot_dev_fullwiki_v1.json'\n", - "# wget.download(url, out=data_root_dir)\n", - "# \n", - "# with open(filepath, \"r\") as file:\n", - "# dataset = json.load(file)\n", - "# instances = dataset if not num_samples else dataset[:num_samples]\n", - "# answers = []\n", - "# for instance in tqdm(instances, desc=\"Getting answers\"):\n", - "# answer = await answer_provider(instance)\n", - "# answers.append(answer)" - ], - "id": "d5af4b516c6621a3", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Getting answers: 100%|██████████| 10/10 [00:13<00:00, 1.31s/it]\n" - ] - } - ], - "execution_count": 9 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-12-24T15:57:30.787382Z", - "start_time": "2024-12-24T15:57:30.785259Z" - } - }, - "cell_type": "code", - "source": [ - "# from evals.deepeval_metrics import f1_score_metric\n", - "# from evals.deepeval_metrics import em_score_metric" - ], - "id": "2bf69048a272158c", + "execution_count": null, + "id": "de91ee0a", + "metadata": {}, "outputs": [], - "execution_count": 10 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2024-12-24T15:57:30.828509Z", - "start_time": "2024-12-24T15:57:30.795197Z" - } - }, - "cell_type": "code", "source": [ - "# f1_metric = f1_score_metric()\n", - "# eval_results = await eval_answers(instances, answers, f1_metric)\n", - "# avg_f1_score = statistics.mean([result.metrics_data[0].score for result in eval_results.test_results])\n", - "# print(\"F1 score: \", avg_f1_score)" - ], - "id": "72ba5f89cccbee6b", - "outputs": [ - { - "data": { - "text/plain": [ - "✨ You're running DeepEval's latest \u001B[38;2;106;0;255mOfficial hotpot F1 score Metric\u001B[0m! \u001B[1;38;2;55;65;81m(\u001B[0m\u001B[38;2;55;65;81musing \u001B[0m\u001B[3;38;2;55;65;81mNone\u001B[0m\u001B[38;2;55;65;81m, \u001B[0m\u001B[38;2;55;65;81mstrict\u001B[0m\u001B[38;2;55;65;81m=\u001B[0m\u001B[3;38;2;55;65;81mFalse\u001B[0m\u001B[38;2;55;65;81m, \u001B[0m\u001B[38;2;55;65;81masync_mode\u001B[0m\u001B[38;2;55;65;81m=\u001B[0m\u001B[3;38;2;55;65;81mTrue\u001B[0m\u001B[1;38;2;55;65;81m)\u001B[0m\u001B[38;2;55;65;81m...\u001B[0m\n" - ], - "text/html": [ - "
✨ You're running DeepEval's latest Official hotpot F1 score Metric! (using None, strict=False, async_mode=True)...\n",
-       "
\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Event loop is already running. Applying nest_asyncio patch to allow async execution...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Evaluating 10 test case(s) in parallel: |██████████|100% (10/10) [Time Taken: 00:00, 407.84test case/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.0, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: Were Scott Derrickson and Ed Wood of the same nationality?\n", - " - actual output: Scott Derrickson is described as an American filmmaker in the context. Ed Wood is referenced as a cult filmmaker in the American biographical film \"Ed Wood.\" Therefore, both Scott Derrickson and Ed Wood are of the same nationality: American.\n", - " - expected output: yes\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.04255319148936171, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: What government position was held by the woman who portrayed Corliss Archer in the film Kiss and Tell?\n", - " - actual output: The woman who portrayed Corliss Archer in the film \"Kiss and Tell\" was Shirley Temple. After her acting career, she held the position of U.S. Ambassador to Czechoslovakia from 1989 to 1992, and she was also a member of the U.S. delegation to the United Nations from 1969 to 1970.\n", - " - expected output: Chief of Protocol\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.05882352941176471, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: What science fantasy young adult series, told in first person, has a set of companion books narrating the stories of enslaved worlds and alien species?\n", - " - actual output: The book series that fits the description is \"Animorphs\". It is a science fantasy young adult series told in the first person with multiple narrators, and it deals with themes relevant to enslaved worlds and alien species.\n", - " - expected output: Animorphs\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.0, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: Are the Laleli Mosque and Esma Sultan Mansion located in the same neighborhood?\n", - " - actual output: The Laleli Mosque is located in Laleli, Fatih, Istanbul. The Esma Sultan Mansion is located in the Ortaköy neighborhood of Istanbul. Therefore, they are not located in the same neighborhood.\n", - " - expected output: no\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.22222222222222218, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: The director of the romantic comedy \"Big Stone Gap\" is based in what New York city?\n", - " - actual output: The director of the romantic comedy \"Big Stone Gap\" is Adriana Trigiani, and there is no specific New York city mentioned in the provided context.\n", - " - expected output: Greenwich Village, New York City\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.11764705882352941, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: 2014 S/S is the debut album of a South Korean boy group that was formed by who?\n", - " - actual output: The South Korean boy group that debuted with the album \"2014 S/S\" was formed by FNC Entertainment.\n", - " - expected output: YG Entertainment\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.18181818181818182, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: Who was known by his stage name Aladin and helped organizations improve their performance as a consultant?\n", - " - actual output: Eenasul Fateh, known by his stage name Aladin, is a Bangladeshi-British cultural practitioner, magician, live artist, and former international management consultant.\n", - " - expected output: Eenasul Fateh\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.0, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: The arena where the Lewiston Maineiacs played their home games can seat how many people?\n", - " - actual output: The Lewiston Maineiacs played their home games at the Androscoggin Bank Colisée. The capacity of the arena is not directly stated in the context, but it is implied from the information provided.\n", - " - expected output: 3,677 seated\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.12903225806451613, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: Who is older, Annie Morton or Terry Richardson?\n", - " - actual output: Annie Morton was born on October 8, 1970, while Terry Richardson's birthdate is not provided in the context. Therefore, based on the available information, Annie Morton is older than Terry Richardson.\n", - " - expected output: Terry Richardson\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Metrics Summary\n", - "\n", - " - ❌ Official hotpot F1 score (score: 0.0, threshold: 0.5, strict: False, evaluation model: None, reason: None, error: None)\n", - "\n", - "For test case:\n", - "\n", - " - input: Are Local H and For Against both from the United States?\n", - " - actual output: Yes, Local H is from the United States, specifically mentioned as a band from the Chicago suburbs, and For Against is also a band mentioned as being from the United States, although specific details about For Against's origin are not provided in the context.\n", - " - expected output: yes\n", - " - context: None\n", - " - retrieval context: None\n", - "\n", - "======================================================================\n", - "\n", - "Overall Metric Pass Rates\n", - "\n", - "Official hotpot F1 score: 0.00% pass rate\n", - "\n", - "======================================================================\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "data": { - "text/plain": [ - "\u001B[38;2;5;245;141m✓\u001B[0m Tests finished 🎉! Run \u001B[32m'deepeval login'\u001B[0m to save and analyze evaluation results on Confident AI. \n", - "‼️ Friendly reminder 😇: You can also run evaluations with ALL of deepeval's metrics directly on Confident AI \n", - "instead.\n" - ], - "text/html": [ - "
✓ Tests finished 🎉! Run 'deepeval login' to save and analyze evaluation results on Confident AI. \n",
-       "‼️  Friendly reminder 😇: You can also run evaluations with ALL of deepeval's metrics directly on Confident AI \n",
-       "instead.\n",
-       "
\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "F1 score: 0.0752096441829576\n" - ] - } - ], - "execution_count": 11 + "num_samples = 10 # With cognee, it takes ~1m10s per sample\n", + "dataset_name_or_filename = \"hotpotqa\"\n", + "dataset = load_qa_dataset(dataset_name_or_filename)" + ] }, { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-05T19:23:30.332977Z", - "start_time": "2025-01-05T19:23:30.331538Z" - } - }, "cell_type": "code", - "source": "", - "id": "783985c35d1126de", + "execution_count": null, + "id": "04bbea26", + "metadata": {}, "outputs": [], - "execution_count": null + "source": [ + "context_provider_name = \"cognee\"\n", + "context_provider = qa_context_providers[context_provider_name]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1194d32c", + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "instances = dataset if not num_samples else random.sample(dataset, num_samples)\n", + "\n", + "out_path = \"out\" \n", + "if not Path(out_path).exists():\n", + " Path(out_path).mkdir()\n", + "contexts_filename = out_path / Path(\n", + " f\"contexts_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json\"\n", + " )\n", + "\n", + "answers = []\n", + "for instance in tqdm(instances, desc=\"Getting answers\"):\n", + " answer = await answer_qa_instance(instance, context_provider, contexts_filename)\n", + " answers.append(answer)" + ] + }, + { + "cell_type": "markdown", + "id": "7e8e491a", + "metadata": {}, + "source": [ + "#### Define Metrics for Evaluation and Calculate Score\n", + "**Options**: \n", + "- **Correctness**: Is the actual output factually correct based on the expected output?\n", + "- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question?\n", + "- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question?\n", + "- **Empowerment**: How well does the answer help the reader understand and make informed judgements about the topic?\n", + "- **Directness**: How specifically and clearly does the answer address the question?\n", + "- **F1 Score**: the harmonic mean of the precision and recall, using word-level Exact Match\n", + "- **EM Score**: the rate at which the predicted strings exactly match their references, ignoring white spaces and capitalization." + ] + }, + { + "cell_type": "markdown", + "id": "a65c70dd", + "metadata": {}, + "source": [ + "##### Calculate `\"Correctness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ede84200", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Correctness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df790d87", + "metadata": {}, + "outputs": [], + "source": [ + "Correctness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Correctness)" + ] + }, + { + "cell_type": "markdown", + "id": "a3dad48f", + "metadata": {}, + "source": [ + "##### Calculating `\"Comprehensiveness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20f98ae2", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Comprehensiveness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b35110d3", + "metadata": {}, + "outputs": [], + "source": [ + "Comprehensiveness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Comprehensiveness)" + ] + }, + { + "cell_type": "markdown", + "id": "9020eaaa", + "metadata": {}, + "source": [ + "##### Calculating `\"Diversity\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f5aa9c70", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Diversity\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fa460a81", + "metadata": {}, + "outputs": [], + "source": [ + "Diversity = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Diversity)" + ] + }, + { + "cell_type": "markdown", + "id": "636b37f2", + "metadata": {}, + "source": [ + "##### Calculating`\"Empowerment\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a685df3", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Empowerment\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44125ae7", + "metadata": {}, + "outputs": [], + "source": [ + "Empowerment = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Empowerment)" + ] + }, + { + "cell_type": "markdown", + "id": "5837fa32", + "metadata": {}, + "source": [ + "##### Calculating `\"Directness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f6b32b6", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Directness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "91c79165", + "metadata": {}, + "outputs": [], + "source": [ + "Directness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Directness)" + ] + }, + { + "cell_type": "markdown", + "id": "912293c4", + "metadata": {}, + "source": [ + "##### Calculating `\"F1\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a80d6f2e", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"F1\"]\n", + "eval_metrics = get_metrics(metric_name_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e644f1f", + "metadata": {}, + "outputs": [], + "source": [ + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12d00f5e", + "metadata": {}, + "outputs": [], + "source": [ + "F1_score = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(F1_score)" + ] + }, + { + "cell_type": "markdown", + "id": "68680dd7", + "metadata": {}, + "source": [ + "##### Calculating `\"EM\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dfe28005", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"EM\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01dffe4d", + "metadata": {}, + "outputs": [], + "source": [ + "EM = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(EM)" + ] }, { "cell_type": "markdown", @@ -1439,27 +1233,11 @@ "# Give us a star if you like it!\n", "https://github.com/topoteretes/cognee" ] - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "", - "id": "d042efe5d38144fa" - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "", - "id": "9436af97520e0ae" } ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "cognee-c83GrcRT-py3.11", "language": "python", "name": "python3" }, @@ -1473,7 +1251,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/notebooks/cognee_graphiti_demo.ipynb b/notebooks/cognee_graphiti_demo.ipynb new file mode 100644 index 000000000..7d979bf96 --- /dev/null +++ b/notebooks/cognee_graphiti_demo.ipynb @@ -0,0 +1,261 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": "# Cognee Graphiti integration demo" + }, + { + "cell_type": "markdown", + "metadata": { + "vscode": { + "languageId": "plaintext" + } + }, + "source": "First we import the necessary libaries" + }, + { + "cell_type": "code", + "metadata": {}, + "source": [ + "import cognee\n", + "import logging\n", + "import warnings\n", + "from cognee.modules.pipelines import Task, run_tasks\n", + "from cognee.shared.utils import setup_logging\n", + "from cognee.tasks.temporal_awareness import build_graph_with_temporal_awareness\n", + "from cognee.infrastructure.databases.relational import (\n", + " create_db_and_tables as create_relational_db_and_tables,\n", + ")\n", + "from cognee.tasks.temporal_awareness.index_graphiti_objects import (\n", + " index_and_transform_graphiti_nodes_and_edges,\n", + ")\n", + "from cognee.modules.retrieval.brute_force_triplet_search import brute_force_triplet_search\n", + "from cognee.tasks.completion.graph_query_completion import retrieved_edges_to_string\n", + "from cognee.infrastructure.llm.prompts import read_query_prompt, render_prompt\n", + "from cognee.infrastructure.llm.get_llm_client import get_llm_client" + ], + "outputs": [], + "execution_count": null + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Set environment variables" + ] + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-15T10:43:57.893763Z", + "start_time": "2025-01-15T10:43:57.891332Z" + } + }, + "source": [ + "import os\n", + "\n", + "# We ignore warnigns for now\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "# API key for cognee\n", + "if \"LLM_API_KEY\" not in os.environ:\n", + " os.environ[\"LLM_API_KEY\"] = \"\"\n", + "\n", + "# API key for graphiti\n", + "if \"OPENAI_API_KEY\" not in os.environ:\n", + " os.environ[\"OPENAI_API_KEY\"] = \"\"\n", + "\n", + "# Graphiti integration is only tested with neo4j + pgvector + postgres for now\n", + "GRAPH_DATABASE_PROVIDER=\"neo4j\"\n", + "GRAPH_DATABASE_URL=\"bolt://localhost:7687\"\n", + "GRAPH_DATABASE_USERNAME=\"neo4j\"\n", + "GRAPH_DATABASE_PASSWORD=\"pleaseletmein\"\n", + "\n", + "os.environ[\"VECTOR_DB_PROVIDER\"] = \"pgvector\"\n", + "\n", + "os.environ[\"DB_PROVIDER\"] = \"postgres\"\n", + "\n", + "os.environ[\"DB_NAME\"] = \"cognee_db\"\n", + "\n", + "os.environ[\"DB_HOST\"]=\"127.0.0.1\"\n", + "os.environ[\"DB_PORT\"]=\"5432\"\n", + "os.environ[\"DB_USERNAME\"]=\"cognee\"\n", + "os.environ[\"DB_PASSWORD\"]=\"cognee\"" + ], + "outputs": [], + "execution_count": 2 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## Input texts with temporal information" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-15T10:43:57.928664Z", + "start_time": "2025-01-15T10:43:57.927105Z" + } + }, + "source": [ + "text_list = [\n", + " \"Kamala Harris is the Attorney General of California. She was previously \"\n", + " \"the district attorney for San Francisco.\",\n", + " \"As AG, Harris was in office from January 3, 2011 – January 3, 2017\",\n", + "]" + ], + "outputs": [], + "execution_count": 3 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": "## Running graphiti + transforming its graph into cognee's core system (graph transformation + vector embeddings)" + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-15T10:44:25.008501Z", + "start_time": "2025-01-15T10:43:57.932240Z" + } + }, + "source": [ + "# 🔧 Setting Up Logging to Suppress Errors\n", + "setup_logging(logging.ERROR) # Keeping logs clean and focused\n", + "\n", + "# 🧹 Pruning Old Data and Metadata\n", + "await cognee.prune.prune_data() # Removing outdated data\n", + "await cognee.prune.prune_system(metadata=True)\n", + "\n", + "# 🏗️ Creating Relational Database and Tables\n", + "await create_relational_db_and_tables()\n", + "\n", + "# 📚 Adding Text Data to Cognee\n", + "for text in text_list:\n", + " await cognee.add(text)\n", + "\n", + "# 🕰️ Building Temporal-Aware Graphs\n", + "tasks = [\n", + " Task(build_graph_with_temporal_awareness, text_list=text_list),\n", + "]\n", + "\n", + "# 🚀 Running the Task Pipeline\n", + "pipeline = run_tasks(tasks)\n", + "\n", + "# 🌟 Processing Pipeline Results\n", + "async for result in pipeline:\n", + " print(f\"✅ Result Processed: {result}\")\n", + "\n", + "# 🔄 Indexing and Transforming Graph Data\n", + "await index_and_transform_graphiti_nodes_and_edges()" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Database deleted successfully.\n", + "Database deleted successfully.\n", + "User d3b51a32-38e1-4fe5-8270-6dc1d6ebfdf0 has registered.\n", + "Pipeline file_load_from_filesystem load step completed in 0.10 seconds\n", + "1 load package(s) were loaded to destination sqlalchemy and into dataset public\n", + "The sqlalchemy destination used postgresql://cognee:***@127.0.0.1:5432/cognee_db location to store data\n", + "Load package 1736937839.7739599 is LOADED and contains no failed jobs\n", + "Pipeline file_load_from_filesystem load step completed in 0.06 seconds\n", + "1 load package(s) were loaded to destination sqlalchemy and into dataset public\n", + "The sqlalchemy destination used postgresql://cognee:***@127.0.0.1:5432/cognee_db location to store data\n", + "Load package 1736937841.8467042 is LOADED and contains no failed jobs\n", + "Graph database initialized.\n", + "Added text: Kamala Harris is the Attorney Gener...\n", + "Added text: As AG, Harris was in office from Ja...\n", + "✅ Result Processed: \n" + ] + } + ], + "execution_count": 4 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "## Retrieving and generating answer from graphiti graph with cognee retriever" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2025-01-15T10:44:27.844438Z", + "start_time": "2025-01-15T10:44:25.013325Z" + } + }, + "cell_type": "code", + "source": [ + "# Step 1: Formulating the Query 🔍\n", + "query = \"When was Kamala Harris in office?\"\n", + "\n", + "# Step 2: Searching for Relevant Triplets 📊\n", + "triplets = await brute_force_triplet_search(\n", + " query=query,\n", + " top_k=3,\n", + " collections=[\"graphitinode_content\", \"graphitinode_name\", \"graphitinode_summary\"],\n", + ")\n", + "\n", + "# Step 3: Preparing the Context for the LLM\n", + "context = retrieved_edges_to_string(triplets)\n", + "\n", + "args = {\n", + " \"question\": query,\n", + " \"context\": context\n", + "}\n", + "\n", + "# Step 4: Generating Prompts ✍️\n", + "user_prompt = render_prompt(\"graph_context_for_question.txt\", args)\n", + "system_prompt = read_query_prompt(\"answer_simple_question_restricted.txt\")\n", + "\n", + "# Step 5: Interacting with the LLM 🤖\n", + "llm_client = get_llm_client()\n", + "computed_answer = await llm_client.acreate_structured_output(\n", + " text_input=user_prompt, # Input prompt for the user context\n", + " system_prompt=system_prompt, # System-level instructions for the model\n", + " response_model=str,\n", + ")\n", + "\n", + "# Step 6: Displaying the Computed Answer ✨\n", + "print(f\"💡 Answer: {computed_answer}\")" + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "💡 Answer: Kamala Harris was in office as Attorney General of California from January 3, 2011, to January 3, 2017.\n" + ] + } + ], + "execution_count": 5 + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/cognee_hotpot_eval.ipynb b/notebooks/cognee_hotpot_eval.ipynb index 445a13c1d..2ec83cc3b 100644 --- a/notebooks/cognee_hotpot_eval.ipynb +++ b/notebooks/cognee_hotpot_eval.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Evaluation on the hotpotQA dataset" + "# Evaluation on the hotpotQA dataset" ] }, { @@ -13,23 +13,30 @@ "metadata": {}, "outputs": [], "source": [ - "from evals.eval_on_hotpot import eval_on_hotpotQA\n", - "from evals.eval_on_hotpot import answer_with_cognee\n", - "from evals.eval_on_hotpot import answer_without_cognee\n", - "from evals.eval_on_hotpot import eval_answers\n", - "from cognee.base_config import get_base_config\n", + "!pip install \"cognee[deepeval]\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from evals.eval_on_hotpot import deepeval_answers, answer_qa_instance\n", + "from evals.qa_dataset_utils import load_qa_dataset\n", + "from evals.qa_metrics_utils import get_metrics\n", + "from evals.qa_context_provider_utils import qa_context_providers\n", "from pathlib import Path\n", "from tqdm import tqdm\n", - "import wget\n", - "import json\n", - "import statistics" + "import statistics\n", + "import random" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Getting the answers for the first num_samples questions of the dataset" + "## Load Dataset" ] }, { @@ -38,27 +45,69 @@ "metadata": {}, "outputs": [], "source": [ - "answer_provider = answer_with_cognee # For native LLM answers use answer_without_cognee\n", "num_samples = 10 # With cognee, it takes ~1m10s per sample\n", + "dataset_name_or_filename = \"hotpotqa\"\n", + "dataset = load_qa_dataset(dataset_name_or_filename)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define Context Provider\n", + "**Options**: \n", + "- **cognee**: context with cognee \n", + "- **no_rag**: raw context \n", + "- **simple_rag**: context with simple rag \n", + "- **brute_force**: context with brute force triplet search" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Here, \"cognee\" is used as context provider\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "context_provider_name = \"cognee\"\n", + "context_provider = qa_context_providers[context_provider_name]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Generate Answers for QA Instances\n", + "1. **Random Sampling**: Selects a random subset of the dataset if `num_samples` is defined.\n", + "2. **Context Filename**: Defines the file path for storing contexts generated by the context provider.\n", + "3. **Answer Generation**: Iterates over the QA instances using `tqdm` for progress tracking and generates answers using the `answer_qa_instance` function asynchronously." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "instances = dataset if not num_samples else random.sample(dataset, num_samples)\n", "\n", - "base_config = get_base_config()\n", - "data_root_dir = base_config.data_root_directory\n", + "out_path = \"out\" \n", + "if not Path(out_path).exists():\n", + " Path(out_path).mkdir()\n", + "contexts_filename = out_path / Path(\n", + " f\"contexts_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json\"\n", + " )\n", "\n", - "if not Path(data_root_dir).exists():\n", - " Path(data_root_dir).mkdir()\n", - "\n", - "filepath = data_root_dir / Path(\"hotpot_dev_fullwiki_v1.json\")\n", - "if not filepath.exists():\n", - " url = \"http://curtis.ml.cmu.edu/datasets/hotpot/hotpot_dev_fullwiki_v1.json\"\n", - " wget.download(url, out=data_root_dir)\n", - "\n", - "with open(filepath, \"r\") as file:\n", - " dataset = json.load(file)\n", - "\n", - "instances = dataset if not num_samples else dataset[:num_samples]\n", "answers = []\n", "for instance in tqdm(instances, desc=\"Getting answers\"):\n", - " answer = await answer_provider(instance)\n", + " answer = await answer_qa_instance(instance, context_provider, contexts_filename)\n", " answers.append(answer)" ] }, @@ -66,62 +115,24 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Calculating the official HotpotQA benchmark metrics: F1 score and EM" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from evals.deepeval_metrics import f1_score_metric\n", - "from evals.deepeval_metrics import em_score_metric" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "f1_metric = f1_score_metric()\n", - "eval_results = await eval_answers(instances, answers, f1_metric)\n", - "avg_f1_score = statistics.mean(\n", - " [result.metrics_data[0].score for result in eval_results.test_results]\n", - ")\n", - "print(\"F1 score: \", avg_f1_score)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "em_metric = em_score_metric()\n", - "eval_results = await eval_answers(instances, answers, em_metric)\n", - "avg_em_score = statistics.mean(\n", - " [result.metrics_data[0].score for result in eval_results.test_results]\n", - ")\n", - "print(\"EM score: \", avg_em_score)" + "#### Define Metrics for Evaluation and Calculate Score\n", + "**Options**: \n", + "- **Correctness**: Is the actual output factually correct based on the expected output?\n", + "- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question?\n", + "- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question?\n", + "- **Empowerment**: How well does the answer help the reader understand and make informed judgements about the topic?\n", + "- **Directness**: How specifically and clearly does the answer address the question?\n", + "- **F1 Score**: the harmonic mean of the precision and recall, using word-level Exact Match\n", + "- **EM Score**: the rate at which the predicted strings exactly match their references, ignoring white spaces and capitalization.\n", + "\n", + "We can also calculate scores based on the same metrics with promptfoo" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Calculating a custom metric called Correctness\n", - "##### Correctness is judged by an LLM" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "from evals.deepeval_metrics import correctness_metric" + "##### Calculating `\"Correctness\"`" ] }, { @@ -130,29 +141,28 @@ "metadata": {}, "outputs": [], "source": [ - "eval_results = await eval_answers(\n", - " instances, answers, correctness_metric\n", - ") # note that instantiation is not needed for correctness metric as it is already an instance\n", - "avg_correctness_score = statistics.mean(\n", + "metric_name_list = [\"Correctness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Correctness = statistics.mean(\n", " [result.metrics_data[0].score for result in eval_results.test_results]\n", ")\n", - "print(\"Correctness score: \", avg_correctness_score)" + "print(Correctness)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Using a metric from Deepeval" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from deepeval.metrics import AnswerRelevancyMetric" + "##### Calculating `\"Comprehensiveness\"`" ] }, { @@ -161,21 +171,28 @@ "metadata": {}, "outputs": [], "source": [ - "relevancy_metric = AnswerRelevancyMetric()\n", - "eval_results = await eval_answers(\n", - " instances, answers, relevancy_metric\n", - ") # note that instantiation is not needed for correctness metric as it is already an instance\n", - "avg_relevancy_score = statistics.mean(\n", + "metric_name_list = [\"Comprehensiveness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Comprehensiveness = statistics.mean(\n", " [result.metrics_data[0].score for result in eval_results.test_results]\n", ")\n", - "print(\"Relevancy score: \", avg_relevancy_score)" + "print(Comprehensiveness)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Answering and eval in one step" + "##### Calculating `\"Diversity\"`" ] }, { @@ -184,12 +201,9 @@ "metadata": {}, "outputs": [], "source": [ - "answer_provider = answer_without_cognee\n", - "f1_metric = f1_score_metric()\n", - "f1_score = await eval_on_hotpotQA(\n", - " answer_provider, num_samples=10, eval_metric=f1_metric\n", - ") # takes ~1m10s per sample\n", - "print(\"F1 score: \", f1_score)" + "metric_name_list = [\"Diversity\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " ] }, { @@ -197,17 +211,958 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "Diversity = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Diversity)" + ] }, { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "##### Calculating`\"Empowerment\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Empowerment\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Empowerment = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Empowerment)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Directness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Directness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Directness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Directness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"F1 Score\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"F1\"]\n", + "eval_metrics = get_metrics(metric_name_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "F1_score = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(F1_score)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Exact Match (EM) Score\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"EM\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "EM = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(EM)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### \"no_rag\" as context provider" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "context_provider_name = \"no_rag\"\n", + "context_provider = qa_context_providers[context_provider_name]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Generate Answers for QA Instances" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "instances = dataset if not num_samples else random.sample(dataset, num_samples)\n", + "\n", + "out_path = \"out\" \n", + "if not Path(out_path).exists():\n", + " Path(out_path).mkdir()\n", + "contexts_filename = out_path / Path(\n", + " f\"contexts_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json\"\n", + " )\n", + "\n", + "answers = []\n", + "for instance in tqdm(instances, desc=\"Getting answers\"):\n", + " answer = await answer_qa_instance(instance, context_provider, contexts_filename)\n", + " answers.append(answer)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define Metrics for Evaluation and Calculate Score" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculate `\"Correctness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Correctness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Correctness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Correctness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Comprehensiveness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Comprehensiveness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Comprehensiveness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Comprehensiveness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Diversity\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Diversity\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Diversity = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Diversity)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating`\"Empowerment\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Empowerment\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Empowerment = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Empowerment)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Directness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Directness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Directness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Directness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"F1 Score\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"F1\"]\n", + "eval_metrics = get_metrics(metric_name_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "F1_score = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(F1_score)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Exact Match (EM) Score\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"EM\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "EM = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(EM)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### \"simple_rag\" as context provider\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "context_provider_name = \"simple_rag\"\n", + "context_provider = qa_context_providers[context_provider_name]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Generate Answers for QA Instances" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "instances = dataset if not num_samples else random.sample(dataset, num_samples)\n", + "\n", + "out_path = \"out\" \n", + "if not Path(out_path).exists():\n", + " Path(out_path).mkdir()\n", + "contexts_filename = out_path / Path(\n", + " f\"contexts_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json\"\n", + " )\n", + "\n", + "answers = []\n", + "for instance in tqdm(instances, desc=\"Getting answers\"):\n", + " answer = await answer_qa_instance(instance, context_provider, contexts_filename)\n", + " answers.append(answer)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define Metrics for Evaluation and Calculate Score" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculate `\"Correctness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Correctness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Correctness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Correctness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Comprehensiveness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Comprehensiveness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Comprehensiveness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Comprehensiveness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Diversity\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Diversity\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Diversity = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Diversity)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating`\"Empowerment\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Empowerment\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Empowerment = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Empowerment)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Directness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Directness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Directness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Directness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"F1\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"F1 Score\"]\n", + "eval_metrics = get_metrics(metric_name_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "F1_score = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(F1_score)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Exact Match (EM) Score\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"EM\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "EM = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(EM)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### \"brute_force\" as context provider\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "context_provider_name = \"brute_force\"\n", + "context_provider = qa_context_providers[context_provider_name]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Generate Answers for QA Instances" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "instances = dataset if not num_samples else random.sample(dataset, num_samples)\n", + "\n", + "out_path = \"out\" \n", + "if not Path(out_path).exists():\n", + " Path(out_path).mkdir()\n", + "contexts_filename = out_path / Path(\n", + " f\"contexts_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json\"\n", + " )\n", + "\n", + "answers = []\n", + "for instance in tqdm(instances, desc=\"Getting answers\"):\n", + " answer = await answer_qa_instance(instance, context_provider, contexts_filename)\n", + " answers.append(answer)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define Metrics for Evaluation and Calculate Score" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculate `\"Correctness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Correctness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Correctness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Correctness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Comprehensiveness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Comprehensiveness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Comprehensiveness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Comprehensiveness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Diversity\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Diversity\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Diversity = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Diversity)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating`\"Empowerment\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Empowerment\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Empowerment = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Empowerment)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Directness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Directness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "Directness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Directness)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"F1 Score\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"F1\"]\n", + "eval_metrics = get_metrics(metric_name_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "F1_score = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(F1_score)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Calculating `\"Exact Match (EM) Score\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"EM\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "EM = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(EM)" + ] } ], "metadata": { "kernelspec": { - "display_name": "myenv", + "display_name": "cognee-c83GrcRT-py3.11", "language": "python", "name": "python3" }, @@ -221,7 +1176,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.20" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/notebooks/cognee_llama_index.ipynb b/notebooks/cognee_llama_index.ipynb index c7c28af5f..82db4d4ae 100644 --- a/notebooks/cognee_llama_index.ipynb +++ b/notebooks/cognee_llama_index.ipynb @@ -118,10 +118,10 @@ ] }, { - "cell_type": "code", - "execution_count": null, "metadata": {}, + "cell_type": "code", "outputs": [], + "execution_count": null, "source": [ "from typing import Union, BinaryIO\n", "\n", @@ -133,7 +133,7 @@ ")\n", "from cognee.modules.users.models import User\n", "from cognee.modules.users.methods import get_default_user\n", - "from cognee.tasks.ingestion.ingest_data_with_metadata import ingest_data_with_metadata\n", + "from cognee.tasks.ingestion.ingest_data import ingest_data\n", "import cognee\n", "\n", "# Create a clean slate for cognee -- reset data and system state\n", @@ -153,7 +153,7 @@ " if user is None:\n", " user = await get_default_user()\n", "\n", - " await ingest_data_with_metadata(data, dataset_name, user)\n", + " await ingest_data(data, dataset_name, user)\n", "\n", "\n", "await add(documents)\n", diff --git a/notebooks/data/graphrag b/notebooks/data/graphrag new file mode 160000 index 000000000..130b84db9 --- /dev/null +++ b/notebooks/data/graphrag @@ -0,0 +1 @@ +Subproject commit 130b84db9270734756d16918e5c86034777140fc diff --git a/notebooks/hr_demo.ipynb b/notebooks/hr_demo.ipynb index c6c3c3ed1..63df77775 100644 --- a/notebooks/hr_demo.ipynb +++ b/notebooks/hr_demo.ipynb @@ -618,76 +618,339 @@ "cell_type": "markdown", "id": "e519e30c0423c2a", "metadata": {}, - "source": "## Let's add evals" - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "b22ae3d868fa5606", - "metadata": { - "ExecuteTime": { - "end_time": "2024-12-19T18:01:11.387716Z", - "start_time": "2024-12-19T18:01:11.278042Z" - } - }, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'deepeval'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mevals\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_on_hotpot\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m eval_on_hotpotQA\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mevals\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_on_hotpot\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m answer_with_cognee\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mevals\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meval_on_hotpot\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m answer_without_cognee\n", - "File \u001b[0;32m~/cognee/evals/eval_on_hotpot.py:7\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mstatistics\u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpathlib\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Path\n\u001b[0;32m----> 7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mdeepeval\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmetrics\u001b[39;00m\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mwget\u001b[39;00m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdeepeval\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdataset\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m EvaluationDataset\n", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'deepeval'" - ] - } - ], "source": [ - "from evals.eval_on_hotpot import eval_on_hotpotQA\n", - "from evals.eval_on_hotpot import answer_with_cognee\n", - "from evals.eval_on_hotpot import answer_without_cognee\n", - "from evals.eval_on_hotpot import eval_answers\n", - "from cognee.base_config import get_base_config\n", - "from pathlib import Path\n", - "from tqdm import tqdm\n", - "import wget\n", - "import json\n", - "import statistics" + "## Let's add evals" ] }, { "cell_type": "code", "execution_count": null, - "id": "728355d390e3a01b", + "id": "3845443e", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install \"cognee[deepeval]\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a2c3c70", + "metadata": {}, + "outputs": [], + "source": [ + "from evals.eval_on_hotpot import deepeval_answers, answer_qa_instance\n", + "from evals.qa_dataset_utils import load_qa_dataset\n", + "from evals.qa_metrics_utils import get_metrics\n", + "from evals.qa_context_provider_utils import qa_context_providers\n", + "from pathlib import Path\n", + "from tqdm import tqdm\n", + "import statistics\n", + "import random" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "53a609d8", "metadata": {}, "outputs": [], "source": [ - "answer_provider = answer_with_cognee # For native LLM answers use answer_without_cognee\n", "num_samples = 10 # With cognee, it takes ~1m10s per sample\n", + "dataset_name_or_filename = \"hotpotqa\"\n", + "dataset = load_qa_dataset(dataset_name_or_filename)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7351ab8f", + "metadata": {}, + "outputs": [], + "source": [ + "context_provider_name = \"cognee\"\n", + "context_provider = qa_context_providers[context_provider_name]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9346115b", + "metadata": {}, + "outputs": [], + "source": [ + "random.seed(42)\n", + "instances = dataset if not num_samples else random.sample(dataset, num_samples)\n", "\n", - "base_config = get_base_config()\n", - "data_root_dir = base_config.data_root_directory\n", + "out_path = \"out\" \n", + "if not Path(out_path).exists():\n", + " Path(out_path).mkdir()\n", + "contexts_filename = out_path / Path(\n", + " f\"contexts_{dataset_name_or_filename.split('.')[0]}_{context_provider_name}.json\"\n", + " )\n", "\n", - "if not Path(data_root_dir).exists():\n", - " Path(data_root_dir).mkdir()\n", - "\n", - "filepath = data_root_dir / Path(\"hotpot_dev_fullwiki_v1.json\")\n", - "if not filepath.exists():\n", - " url = \"http://curtis.ml.cmu.edu/datasets/hotpot/hotpot_dev_fullwiki_v1.json\"\n", - " wget.download(url, out=data_root_dir)\n", - "\n", - "with open(filepath, \"r\") as file:\n", - " dataset = json.load(file)\n", - "\n", - "instances = dataset if not num_samples else dataset[:num_samples]\n", "answers = []\n", "for instance in tqdm(instances, desc=\"Getting answers\"):\n", - " answer = answer_provider(instance)\n", + " answer = await answer_qa_instance(instance, context_provider, contexts_filename)\n", " answers.append(answer)" ] }, + { + "cell_type": "markdown", + "id": "1e7d872d", + "metadata": {}, + "source": [ + "#### Define Metrics for Evaluation and Calculate Score\n", + "**Options**: \n", + "- **Correctness**: Is the actual output factually correct based on the expected output?\n", + "- **Comprehensiveness**: How much detail does the answer provide to cover all aspects and details of the question?\n", + "- **Diversity**: How varied and rich is the answer in providing different perspectives and insights on the question?\n", + "- **Empowerment**: How well does the answer help the reader understand and make informed judgements about the topic?\n", + "- **Directness**: How specifically and clearly does the answer address the question?\n", + "- **F1 Score**: the harmonic mean of the precision and recall, using word-level Exact Match\n", + "- **EM Score**: the rate at which the predicted strings exactly match their references, ignoring white spaces and capitalization." + ] + }, + { + "cell_type": "markdown", + "id": "c81e2b46", + "metadata": {}, + "source": [ + "##### Calculate `\"Correctness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae728344", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Correctness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "764aac6d", + "metadata": {}, + "outputs": [], + "source": [ + "Correctness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Correctness)" + ] + }, + { + "cell_type": "markdown", + "id": "6d3bbdc5", + "metadata": {}, + "source": [ + "##### Calculating `\"Comprehensiveness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9793ef78", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Comprehensiveness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9add448a", + "metadata": {}, + "outputs": [], + "source": [ + "Comprehensiveness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Comprehensiveness)" + ] + }, + { + "cell_type": "markdown", + "id": "bce2fa25", + "metadata": {}, + "source": [ + "##### Calculating `\"Diversity\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f60a179e", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Diversity\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ccbd0ab", + "metadata": {}, + "outputs": [], + "source": [ + "Diversity = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Diversity)" + ] + }, + { + "cell_type": "markdown", + "id": "191cab63", + "metadata": {}, + "source": [ + "##### Calculating`\"Empowerment\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "66bec0bf", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Empowerment\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b043a8f", + "metadata": {}, + "outputs": [], + "source": [ + "Empowerment = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Empowerment)" + ] + }, + { + "cell_type": "markdown", + "id": "2cac3be9", + "metadata": {}, + "source": [ + "##### Calculating `\"Directness\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "adaa17c0", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"Directness\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3a8f97c9", + "metadata": {}, + "outputs": [], + "source": [ + "Directness = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(Directness)" + ] + }, + { + "cell_type": "markdown", + "id": "1ad6feb8", + "metadata": {}, + "source": [ + "##### Calculating `\"F1\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bdc48259", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"F1\"]\n", + "eval_metrics = get_metrics(metric_name_list)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c43c17c8", + "metadata": {}, + "outputs": [], + "source": [ + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8bfcc46d", + "metadata": {}, + "outputs": [], + "source": [ + "F1_score = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(F1_score)" + ] + }, + { + "cell_type": "markdown", + "id": "2583f948", + "metadata": {}, + "source": [ + "##### Calculating `\"EM\"`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "90a8f630", + "metadata": {}, + "outputs": [], + "source": [ + "metric_name_list = [\"EM\"]\n", + "eval_metrics = get_metrics(metric_name_list)\n", + "eval_results = await deepeval_answers(instances, answers, eval_metrics[\"deepeval_metrics\"]) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d1b1ea1", + "metadata": {}, + "outputs": [], + "source": [ + "EM = statistics.mean(\n", + " [result.metrics_data[0].score for result in eval_results.test_results]\n", + ")\n", + "print(EM)" + ] + }, { "cell_type": "markdown", "id": "288ab570", @@ -700,7 +963,7 @@ ], "metadata": { "kernelspec": { - "display_name": ".venv", + "display_name": "cognee-c83GrcRT-py3.11", "language": "python", "name": "python3" }, @@ -714,7 +977,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/notebooks/llama_index_cognee_integration.ipynb b/notebooks/llama_index_cognee_integration.ipynb index 772c0a8c7..b1d92100e 100644 --- a/notebooks/llama_index_cognee_integration.ipynb +++ b/notebooks/llama_index_cognee_integration.ipynb @@ -1,8 +1,15 @@ { "cells": [ { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1EpokQ8Y_5jIJ7HdixZms81Oqgh2sp7-E?usp=sharing)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, "source": [ "## LlamaIndex Cognee GraphRAG Integration\n", "\n", @@ -45,22 +52,22 @@ "### 1. Setting Up the Environment\n", "\n", "Start by importing the required libraries and defining the environment:" - ], - "id": "d0d7a82d729bbef6" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, - "source": "!pip install llama-index-graph-rag-cognee==0.1.1", - "id": "598b52e384086512" + "metadata": {}, + "outputs": [], + "source": [ + "!pip install llama-index-graph-rag-cognee==0.1.2" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import os\n", "import asyncio\n", @@ -69,26 +76,24 @@ "\n", "if \"OPENAI_API_KEY\" not in os.environ:\n", " os.environ[\"OPENAI_API_KEY\"] = \"\"" - ], - "id": "892a1b1198ec662f" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "Ensure you’ve set up your API keys and installed necessary dependencies.\n", "\n", "### 2. Preparing the Dataset\n", "\n", "We’ll use a brief profile of an individual as our sample dataset:" - ], - "id": "a1f16f5ca5249ebb" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "documents = [\n", " Document(\n", @@ -98,24 +103,22 @@ " text=\"David Thompson, Creative Graphic Designer with over 8 years of experience in visual design and branding.\"\n", " ),\n", " ]" - ], - "id": "198022c34636a3a0" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "### 3. Initializing CogneeGraphRAG\n", "\n", "Instantiate the Cognee framework with configurations for LLM, graph, and database providers:" - ], - "id": "781ae78e52ff49a" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "cogneeRAG = CogneeGraphRAG(\n", " llm_api_key=os.environ[\"OPENAI_API_KEY\"],\n", @@ -126,126 +129,122 @@ " relational_db_provider=\"sqlite\",\n", " relational_db_name=\"cognee_db\",\n", ")" - ], - "id": "17e466821ab88d50" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "### 4. Adding Data to Cognee\n", "\n", "Load the dataset into the cognee framework:" - ], - "id": "2a55d5be9de0ce81" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, - "source": "await cogneeRAG.add(documents, \"test\")", - "id": "238b716429aba541" + "metadata": {}, + "outputs": [], + "source": [ + "await cogneeRAG.add(documents, \"dataset\")" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "This step prepares the data for graph-based processing.\n", "\n", "### 5. Processing Data into a Knowledge Graph\n", "\n", "Transform the data into a structured knowledge graph:" - ], - "id": "23e5316aa7e5dbc7" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, - "source": "await cogneeRAG.process_data(\"test\")", - "id": "c3b3063d428b07a2" + "metadata": {}, + "outputs": [], + "source": [ + "await cogneeRAG.process_data(\"dataset\")" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "The graph now contains nodes and relationships derived from the dataset, creating a powerful structure for exploration.\n", "\n", "### 6. Performing Searches\n", "\n", "### Answer prompt based on knowledge graph approach:" - ], - "id": "e32327de54e98dc8" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "search_results = await cogneeRAG.search(\"Tell me who are the people mentioned?\")\n", "\n", "print(\"\\n\\nAnswer based on knowledge graph:\\n\")\n", "for result in search_results:\n", " print(f\"{result}\\n\")" - ], - "id": "fddbf5916d1e50e5" + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "### Answer prompt based on RAG approach:", - "id": "9246aed7f69ceb7e" + "metadata": {}, + "source": [ + "### Answer prompt based on RAG approach:" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "search_results = await cogneeRAG.rag_search(\"Tell me who are the people mentioned?\")\n", "\n", "print(\"\\n\\nAnswer based on RAG:\\n\")\n", "for result in search_results:\n", " print(f\"{result}\\n\")" - ], - "id": "fe77c7a7c57fe4e4" + ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "In conclusion, the results demonstrate a significant advantage of the knowledge graph-based approach (Graphrag) over the RAG approach. Graphrag successfully identified all the mentioned individuals across multiple documents, showcasing its ability to aggregate and infer information from a global context. In contrast, the RAG approach was limited to identifying individuals within a single document due to its chunking-based processing constraints. This highlights Graphrag's superior capability in comprehensively resolving queries that span across a broader corpus of interconnected data.", - "id": "89cc99628392eb99" + "metadata": {}, + "source": [ + "In conclusion, the results demonstrate a significant advantage of the knowledge graph-based approach (Graphrag) over the RAG approach. Graphrag successfully identified all the mentioned individuals across multiple documents, showcasing its ability to aggregate and infer information from a global context. In contrast, the RAG approach was limited to identifying individuals within a single document due to its chunking-based processing constraints. This highlights Graphrag's superior capability in comprehensively resolving queries that span across a broader corpus of interconnected data." + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "### 7. Finding Related Nodes\n", "\n", "Explore relationships in the knowledge graph:" - ], - "id": "44c9b67c09763610" + ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "related_nodes = await cogneeRAG.get_related_nodes(\"person\")\n", "\n", "print(\"\\n\\nRelated nodes are:\\n\")\n", "for node in related_nodes:\n", " print(f\"{node}\\n\")" - ], - "id": "efbc1511586f46fe" + ] }, { - "metadata": {}, "cell_type": "markdown", + "metadata": {}, "source": [ "## Why Choose Cognee and LlamaIndex?\n", "\n", @@ -274,12 +273,15 @@ "\n", "Try running it yourself\n", "\n", - "Join cognee community" - ], - "id": "d0f82c2c6eb7793" + "[join the cognee community](https://discord.gg/tV7pr5XSj7)" + ] } ], - "metadata": {}, + "metadata": { + "language_info": { + "name": "python" + } + }, "nbformat": 4, "nbformat_minor": 2 } diff --git a/poetry.lock b/poetry.lock index ddcaf6618..ee4e41039 100644 --- a/poetry.lock +++ b/poetry.lock @@ -168,13 +168,13 @@ docs = ["sphinx (==7.2.6)", "sphinx-mdinclude (==0.5.3)"] [[package]] name = "alembic" -version = "1.14.0" +version = "1.14.1" description = "A database migration tool for SQLAlchemy." optional = false python-versions = ">=3.8" files = [ - {file = "alembic-1.14.0-py3-none-any.whl", hash = "sha256:99bd884ca390466db5e27ffccff1d179ec5c05c965cfefc0607e69f9e411cb25"}, - {file = "alembic-1.14.0.tar.gz", hash = "sha256:b00892b53b3642d0b8dbedba234dbf1924b69be83a9a769d5a624b01094e304b"}, + {file = "alembic-1.14.1-py3-none-any.whl", hash = "sha256:1acdd7a3a478e208b0503cd73614d5e4c6efafa4e73518bb60e4f2846a37b1c5"}, + {file = "alembic-1.14.1.tar.gz", hash = "sha256:496e888245a53adf1498fcab31713a469c65836f8de76e01399aa1c3e90dd213"}, ] [package.dependencies] @@ -183,7 +183,7 @@ SQLAlchemy = ">=1.3.0" typing-extensions = ">=4" [package.extras] -tz = ["backports.zoneinfo"] +tz = ["backports.zoneinfo", "tzdata"] [[package]] name = "annotated-types" @@ -452,13 +452,13 @@ test = ["distro (>=1.9.0,<1.10.0)", "flake8 (>=6.1,<7.0)", "flake8-pyi (>=24.1.0 [[package]] name = "attrs" -version = "24.3.0" +version = "25.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" files = [ - {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"}, - {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"}, + {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"}, + {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"}, ] [package.extras] @@ -609,32 +609,32 @@ xyzservices = ">=2021.09.1" [[package]] name = "boto3" -version = "1.35.94" +version = "1.36.6" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.35.94-py3-none-any.whl", hash = "sha256:516c514fb447d6f216833d06a0781c003fcf43099a4ca2f5a363a8afe0942070"}, - {file = "boto3-1.35.94.tar.gz", hash = "sha256:5aa606239f0fe0dca0506e0ad6bbe4c589048e7e6c2486cee5ec22b6aa7ec2f8"}, + {file = "boto3-1.36.6-py3-none-any.whl", hash = "sha256:6d473f0f340d02b4e9ad5b8e68786a09728101a8b950231b89ebdaf72b6dca21"}, + {file = "boto3-1.36.6.tar.gz", hash = "sha256:b36feae061dc0793cf311468956a0a9e99215ce38bc99a1a4e55a5b105f16297"}, ] [package.dependencies] -botocore = ">=1.35.94,<1.36.0" +botocore = ">=1.36.6,<1.37.0" jmespath = ">=0.7.1,<2.0.0" -s3transfer = ">=0.10.0,<0.11.0" +s3transfer = ">=0.11.0,<0.12.0" [package.extras] crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.35.94" +version = "1.36.6" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.35.94-py3-none-any.whl", hash = "sha256:d784d944865d8279c79d2301fc09ac28b5221d4e7328fb4e23c642c253b9932c"}, - {file = "botocore-1.35.94.tar.gz", hash = "sha256:2b3309b356541faa4d88bb957dcac1d8004aa44953c0b7d4521a6cc5d3d5d6ba"}, + {file = "botocore-1.36.6-py3-none-any.whl", hash = "sha256:f77bbbb03fb420e260174650fb5c0cc142ec20a96967734eed2b0ef24334ef34"}, + {file = "botocore-1.36.6.tar.gz", hash = "sha256:4864c53d638da191a34daf3ede3ff1371a3719d952cc0c6bd24ce2836a38dd77"}, ] [package.dependencies] @@ -643,7 +643,18 @@ python-dateutil = ">=2.1,<3.0.0" urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""} [package.extras] -crt = ["awscrt (==0.22.0)"] +crt = ["awscrt (==0.23.4)"] + +[[package]] +name = "cachetools" +version = "5.5.1" +description = "Extensible memoizing collections and decorators" +optional = true +python-versions = ">=3.7" +files = [ + {file = "cachetools-5.5.1-py3-none-any.whl", hash = "sha256:b76651fdc3b24ead3c648bbdeeb940c1b04d365b38b4af66788f9ec4a81d42bb"}, + {file = "cachetools-5.5.1.tar.gz", hash = "sha256:70f238fbba50383ef62e55c6aff6d9673175fe59f7c6782c7a0b9e38f4a9df95"}, +] [[package]] name = "certifi" @@ -1246,18 +1257,18 @@ optimize = ["orjson"] [[package]] name = "deepeval" -version = "2.1.1" +version = "2.2.6" description = "The Open-Source LLM Evaluation Framework." optional = true -python-versions = "<3.13,>=3.9" +python-versions = "<3.14,>=3.9" files = [ - {file = "deepeval-2.1.1-py3-none-any.whl", hash = "sha256:6b3c48c184ed7d904bea379427f62aad8bbf50ddfa493957d8adb160520ab429"}, - {file = "deepeval-2.1.1.tar.gz", hash = "sha256:8554b7abad140c4948d5ae33670beaabd7c3c969cd216ead4ef74268032d4f2d"}, + {file = "deepeval-2.2.6-py3-none-any.whl", hash = "sha256:0148a3fc05bff9aa4a21b7c4bd23c7b610957469fe55440f5826b4b7c38797a3"}, + {file = "deepeval-2.2.6.tar.gz", hash = "sha256:337b5a8a07dc94e5f72c6db0f5670bc77445edb662a019ccec61f438d150c281"}, ] [package.dependencies] docx2txt = ">=0.8,<1.0" -grpcio = "1.60.1" +grpcio = "1.67.1" importlib-metadata = ">=6.0.2" langchain = "*" langchain-community = "*" @@ -1297,20 +1308,20 @@ files = [ [[package]] name = "deprecated" -version = "1.2.15" +version = "1.2.17" description = "Python @deprecated decorator to deprecate old python classes, functions or methods." optional = true python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" files = [ - {file = "Deprecated-1.2.15-py2.py3-none-any.whl", hash = "sha256:353bc4a8ac4bfc96800ddab349d89c25dec1079f65fd53acdcc1e0b975b21320"}, - {file = "deprecated-1.2.15.tar.gz", hash = "sha256:683e561a90de76239796e6b6feac66b99030d2dd3fcf61ef996330f14bbb9b0d"}, + {file = "Deprecated-1.2.17-py2.py3-none-any.whl", hash = "sha256:69cdc0a751671183f569495e2efb14baee4344b0236342eec29f1fde25d61818"}, + {file = "deprecated-1.2.17.tar.gz", hash = "sha256:0114a10f0bbb750b90b2c2296c90cf7e9eaeb0abb5cf06c80de2c60138de0a82"}, ] [package.dependencies] wrapt = ">=1.10,<2" [package.extras] -dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"] +dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools", "tox"] [[package]] name = "deprecation" @@ -1528,13 +1539,13 @@ idna = ">=2.0.0" [[package]] name = "emoji" -version = "2.14.0" +version = "2.14.1" description = "Emoji for Python" optional = true python-versions = ">=3.7" files = [ - {file = "emoji-2.14.0-py3-none-any.whl", hash = "sha256:fcc936bf374b1aec67dda5303ae99710ba88cc9cdce2d1a71c5f2204e6d78799"}, - {file = "emoji-2.14.0.tar.gz", hash = "sha256:f68ac28915a2221667cddb3e6c589303c3c6954c6c5af6fefaec7f9bdf72fdca"}, + {file = "emoji-2.14.1-py3-none-any.whl", hash = "sha256:35a8a486c1460addb1499e3bf7929d3889b2e2841a57401903699fef595e942b"}, + {file = "emoji-2.14.1.tar.gz", hash = "sha256:f8c50043d79a2c1410ebfae833ae1868d5941a67a6cd4d18377e2eb0bd79346b"}, ] [package.extras] @@ -1581,13 +1592,13 @@ testing = ["hatch", "pre-commit", "pytest", "tox"] [[package]] name = "executing" -version = "2.1.0" +version = "2.2.0" description = "Get the currently executing AST node of a frame, and other information" optional = true python-versions = ">=3.8" files = [ - {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"}, - {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"}, + {file = "executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa"}, + {file = "executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755"}, ] [package.extras] @@ -1608,49 +1619,49 @@ redis = ">=5.0.1,<6.0.0" [[package]] name = "fastapi" -version = "0.115.6" +version = "0.115.7" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.6-py3-none-any.whl", hash = "sha256:e9240b29e36fa8f4bb7290316988e90c381e5092e0cbe84e7818cc3713bcf305"}, - {file = "fastapi-0.115.6.tar.gz", hash = "sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"}, + {file = "fastapi-0.115.7-py3-none-any.whl", hash = "sha256:eb6a8c8bf7f26009e8147111ff15b5177a0e19bb4a45bc3486ab14804539d21e"}, + {file = "fastapi-0.115.7.tar.gz", hash = "sha256:0f106da6c01d88a6786b3248fb4d7a940d071f6f488488898ad5d354b25ed015"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.40.0,<0.42.0" +starlette = ">=0.40.0,<0.46.0" typing-extensions = ">=4.8.0" [package.extras] -all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] -standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"] +all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=3.1.5)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.18)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=3.1.5)", "python-multipart (>=0.0.18)", "uvicorn[standard] (>=0.12.0)"] [[package]] name = "fastapi-users" -version = "14.0.1" +version = "14.0.0" description = "Ready-to-use and customizable users management for FastAPI" optional = false python-versions = ">=3.9" files = [ - {file = "fastapi_users-14.0.1-py3-none-any.whl", hash = "sha256:074df59676dccf79412d2880bdcb661ab1fabc2ecec1f043b4e6a23be97ed9e1"}, - {file = "fastapi_users-14.0.1.tar.gz", hash = "sha256:8c032b3a75c6fb2b1f5eab8ffce5321176e9916efe1fe93e7c15ee55f0b02236"}, + {file = "fastapi_users-14.0.0-py3-none-any.whl", hash = "sha256:e1230e044ddc2209b890b5b5c6fc1d13def961298d40e01c2d28f8bc2fe8c4c7"}, + {file = "fastapi_users-14.0.0.tar.gz", hash = "sha256:6dceefbd2db87a17f791ef431d616bb5ce40cb123da7922969b704cbee5e7384"}, ] [package.dependencies] email-validator = ">=1.1.0,<2.3" fastapi = ">=0.65.2" -fastapi-users-db-sqlalchemy = {version = ">=7.0.0", optional = true, markers = "extra == \"sqlalchemy\""} +fastapi-users-db-sqlalchemy = {version = ">=6.0.0", optional = true, markers = "extra == \"sqlalchemy\""} makefun = ">=1.11.2,<2.0.0" pwdlib = {version = "0.2.1", extras = ["argon2", "bcrypt"]} -pyjwt = {version = "2.10.1", extras = ["crypto"]} -python-multipart = "0.0.20" +pyjwt = {version = "2.9.0", extras = ["crypto"]} +python-multipart = "0.0.17" [package.extras] -beanie = ["fastapi-users-db-beanie (>=4.0.0)"] +beanie = ["fastapi-users-db-beanie (>=3.0.0)"] oauth = ["httpx-oauth (>=0.13)"] redis = ["redis (>=4.3.3,<6.0.0)"] -sqlalchemy = ["fastapi-users-db-sqlalchemy (>=7.0.0)"] +sqlalchemy = ["fastapi-users-db-sqlalchemy (>=6.0.0)"] [[package]] name = "fastapi-users-db-sqlalchemy" @@ -1683,18 +1694,18 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc [[package]] name = "filelock" -version = "3.16.1" +version = "3.17.0" description = "A platform independent file lock." optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"}, - {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"}, + {file = "filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338"}, + {file = "filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e"}, ] [package.extras] -docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"] -testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"] +docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"] typing = ["typing-extensions (>=4.12.2)"] [[package]] @@ -1710,61 +1721,61 @@ files = [ [[package]] name = "fonttools" -version = "4.55.3" +version = "4.55.6" description = "Tools to manipulate font files" optional = false python-versions = ">=3.8" files = [ - {file = "fonttools-4.55.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1dcc07934a2165ccdc3a5a608db56fb3c24b609658a5b340aee4ecf3ba679dc0"}, - {file = "fonttools-4.55.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f7d66c15ba875432a2d2fb419523f5d3d347f91f48f57b8b08a2dfc3c39b8a3f"}, - {file = "fonttools-4.55.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:27e4ae3592e62eba83cd2c4ccd9462dcfa603ff78e09110680a5444c6925d841"}, - {file = "fonttools-4.55.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62d65a3022c35e404d19ca14f291c89cc5890032ff04f6c17af0bd1927299674"}, - {file = "fonttools-4.55.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:d342e88764fb201286d185093781bf6628bbe380a913c24adf772d901baa8276"}, - {file = "fonttools-4.55.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:dd68c87a2bfe37c5b33bcda0fba39b65a353876d3b9006fde3adae31f97b3ef5"}, - {file = "fonttools-4.55.3-cp310-cp310-win32.whl", hash = "sha256:1bc7ad24ff98846282eef1cbeac05d013c2154f977a79886bb943015d2b1b261"}, - {file = "fonttools-4.55.3-cp310-cp310-win_amd64.whl", hash = "sha256:b54baf65c52952db65df39fcd4820668d0ef4766c0ccdf32879b77f7c804d5c5"}, - {file = "fonttools-4.55.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:8c4491699bad88efe95772543cd49870cf756b019ad56294f6498982408ab03e"}, - {file = "fonttools-4.55.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5323a22eabddf4b24f66d26894f1229261021dacd9d29e89f7872dd8c63f0b8b"}, - {file = "fonttools-4.55.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5480673f599ad410695ca2ddef2dfefe9df779a9a5cda89503881e503c9c7d90"}, - {file = "fonttools-4.55.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da9da6d65cd7aa6b0f806556f4985bcbf603bf0c5c590e61b43aa3e5a0f822d0"}, - {file = "fonttools-4.55.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e894b5bd60d9f473bed7a8f506515549cc194de08064d829464088d23097331b"}, - {file = "fonttools-4.55.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:aee3b57643827e237ff6ec6d28d9ff9766bd8b21e08cd13bff479e13d4b14765"}, - {file = "fonttools-4.55.3-cp311-cp311-win32.whl", hash = "sha256:eb6ca911c4c17eb51853143624d8dc87cdcdf12a711fc38bf5bd21521e79715f"}, - {file = "fonttools-4.55.3-cp311-cp311-win_amd64.whl", hash = "sha256:6314bf82c54c53c71805318fcf6786d986461622dd926d92a465199ff54b1b72"}, - {file = "fonttools-4.55.3-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:f9e736f60f4911061235603a6119e72053073a12c6d7904011df2d8fad2c0e35"}, - {file = "fonttools-4.55.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:7a8aa2c5e5b8b3bcb2e4538d929f6589a5c6bdb84fd16e2ed92649fb5454f11c"}, - {file = "fonttools-4.55.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07f8288aacf0a38d174445fc78377a97fb0b83cfe352a90c9d9c1400571963c7"}, - {file = "fonttools-4.55.3-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8d5e8916c0970fbc0f6f1bece0063363bb5857a7f170121a4493e31c3db3314"}, - {file = "fonttools-4.55.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:ae3b6600565b2d80b7c05acb8e24d2b26ac407b27a3f2e078229721ba5698427"}, - {file = "fonttools-4.55.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:54153c49913f45065c8d9e6d0c101396725c5621c8aee744719300f79771d75a"}, - {file = "fonttools-4.55.3-cp312-cp312-win32.whl", hash = "sha256:827e95fdbbd3e51f8b459af5ea10ecb4e30af50221ca103bea68218e9615de07"}, - {file = "fonttools-4.55.3-cp312-cp312-win_amd64.whl", hash = "sha256:e6e8766eeeb2de759e862004aa11a9ea3d6f6d5ec710551a88b476192b64fd54"}, - {file = "fonttools-4.55.3-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a430178ad3e650e695167cb53242dae3477b35c95bef6525b074d87493c4bf29"}, - {file = "fonttools-4.55.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:529cef2ce91dc44f8e407cc567fae6e49a1786f2fefefa73a294704c415322a4"}, - {file = "fonttools-4.55.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e75f12c82127486fac2d8bfbf5bf058202f54bf4f158d367e41647b972342ca"}, - {file = "fonttools-4.55.3-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:859c358ebf41db18fb72342d3080bce67c02b39e86b9fbcf1610cca14984841b"}, - {file = "fonttools-4.55.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:546565028e244a701f73df6d8dd6be489d01617863ec0c6a42fa25bf45d43048"}, - {file = "fonttools-4.55.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:aca318b77f23523309eec4475d1fbbb00a6b133eb766a8bdc401faba91261abe"}, - {file = "fonttools-4.55.3-cp313-cp313-win32.whl", hash = "sha256:8c5ec45428edaa7022f1c949a632a6f298edc7b481312fc7dc258921e9399628"}, - {file = "fonttools-4.55.3-cp313-cp313-win_amd64.whl", hash = "sha256:11e5de1ee0d95af4ae23c1a138b184b7f06e0b6abacabf1d0db41c90b03d834b"}, - {file = "fonttools-4.55.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:caf8230f3e10f8f5d7593eb6d252a37caf58c480b19a17e250a63dad63834cf3"}, - {file = "fonttools-4.55.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b586ab5b15b6097f2fb71cafa3c98edfd0dba1ad8027229e7b1e204a58b0e09d"}, - {file = "fonttools-4.55.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a8c2794ded89399cc2169c4d0bf7941247b8d5932b2659e09834adfbb01589aa"}, - {file = "fonttools-4.55.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf4fe7c124aa3f4e4c1940880156e13f2f4d98170d35c749e6b4f119a872551e"}, - {file = "fonttools-4.55.3-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:86721fbc389ef5cc1e2f477019e5069e8e4421e8d9576e9c26f840dbb04678de"}, - {file = "fonttools-4.55.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:89bdc5d88bdeec1b15af790810e267e8332d92561dce4f0748c2b95c9bdf3926"}, - {file = "fonttools-4.55.3-cp38-cp38-win32.whl", hash = "sha256:bc5dbb4685e51235ef487e4bd501ddfc49be5aede5e40f4cefcccabc6e60fb4b"}, - {file = "fonttools-4.55.3-cp38-cp38-win_amd64.whl", hash = "sha256:cd70de1a52a8ee2d1877b6293af8a2484ac82514f10b1c67c1c5762d38073e56"}, - {file = "fonttools-4.55.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bdcc9f04b36c6c20978d3f060e5323a43f6222accc4e7fcbef3f428e216d96af"}, - {file = "fonttools-4.55.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c3ca99e0d460eff46e033cd3992a969658c3169ffcd533e0a39c63a38beb6831"}, - {file = "fonttools-4.55.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22f38464daa6cdb7b6aebd14ab06609328fe1e9705bb0fcc7d1e69de7109ee02"}, - {file = "fonttools-4.55.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed63959d00b61959b035c7d47f9313c2c1ece090ff63afea702fe86de00dbed4"}, - {file = "fonttools-4.55.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5e8d657cd7326eeaba27de2740e847c6b39dde2f8d7cd7cc56f6aad404ddf0bd"}, - {file = "fonttools-4.55.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:fb594b5a99943042c702c550d5494bdd7577f6ef19b0bc73877c948a63184a32"}, - {file = "fonttools-4.55.3-cp39-cp39-win32.whl", hash = "sha256:dc5294a3d5c84226e3dbba1b6f61d7ad813a8c0238fceea4e09aa04848c3d851"}, - {file = "fonttools-4.55.3-cp39-cp39-win_amd64.whl", hash = "sha256:aedbeb1db64496d098e6be92b2e63b5fac4e53b1b92032dfc6988e1ea9134a4d"}, - {file = "fonttools-4.55.3-py3-none-any.whl", hash = "sha256:f412604ccbeee81b091b420272841e5ec5ef68967a9790e80bffd0e30b8e2977"}, - {file = "fonttools-4.55.3.tar.gz", hash = "sha256:3983313c2a04d6cc1fe9251f8fc647754cf49a61dac6cb1e7249ae67afaafc45"}, + {file = "fonttools-4.55.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:57d55fc965e5dd20c8a60d880e0f43bafb506be87af0b650bdc42591e41e0d0d"}, + {file = "fonttools-4.55.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:127999618afe3a2490fad54bab0650c5fbeab1f8109bdc0205f6ad34306deb8b"}, + {file = "fonttools-4.55.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3226d40cb92787e09dcc3730f54b3779dfe56bdfea624e263685ba17a6faac4"}, + {file = "fonttools-4.55.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e82772f70b84e17aa36e9f236feb2a4f73cb686ec1e162557a36cf759d1acd58"}, + {file = "fonttools-4.55.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:a632f85bd73e002b771bcbcdc512038fa5d2e09bb18c03a22fb8d400ea492ddf"}, + {file = "fonttools-4.55.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:791e0cf862cdd3a252df395f1bb5f65e3a760f1da3c7ce184d0f7998c266614d"}, + {file = "fonttools-4.55.6-cp310-cp310-win32.whl", hash = "sha256:94f7f2c5c5f3a6422e954ecb6d37cc363e27d6f94050a7ed3f79f12157af6bb2"}, + {file = "fonttools-4.55.6-cp310-cp310-win_amd64.whl", hash = "sha256:2d15e02b93a46982a8513a208e8f89148bca8297640527365625be56151687d0"}, + {file = "fonttools-4.55.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0879f99eabbf2171dfadd9c8c75cec2b7b3aa9cd1f3955dd799c69d60a5189ef"}, + {file = "fonttools-4.55.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d77d83ca77a4c3156a2f4cbc7f09f5a8503795da658fa255b987ad433a191266"}, + {file = "fonttools-4.55.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07478132407736ee5e54f9f534e73923ae28e9bb6dba17764a35e3caf7d7fea3"}, + {file = "fonttools-4.55.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1c06fbc2fd76b9bab03eddfd8aa9fb7c0981d314d780e763c80aa76be1c9982"}, + {file = "fonttools-4.55.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:09ed667c4753e1270994e5398cce8703e6423c41702a55b08f843b2907b1be65"}, + {file = "fonttools-4.55.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0ee6ed68af8d57764d69da099db163aaf37d62ba246cfd42f27590e3e6724b55"}, + {file = "fonttools-4.55.6-cp311-cp311-win32.whl", hash = "sha256:9f99e7876518b2d059a9cc67c506168aebf9c71ac8d81006d75e684222f291d2"}, + {file = "fonttools-4.55.6-cp311-cp311-win_amd64.whl", hash = "sha256:3aa6c684007723895aade9b2fe76d07008c9dc90fd1ef6c310b3ca9c8566729f"}, + {file = "fonttools-4.55.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:51120695ee13001533e50abd40eec32c01b9c6f44c5567db38a7acd3eedcd19d"}, + {file = "fonttools-4.55.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:76ac5a595f86892b49ba86ba2e46185adc76328ce6eff0583b30e5c3ab02a914"}, + {file = "fonttools-4.55.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b7535a5ac386e549e2b00b34c59b53f805e2423000676723b6867df3c10df04"}, + {file = "fonttools-4.55.6-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c42009177d3690894288082d5e3dac6bdc9f5d38e25054535e341a19cf5183a4"}, + {file = "fonttools-4.55.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:88f74bc19dbab3dee6a00ca67ca54bb4793e44ff0c4dcf1fa61d68651ae3fa0a"}, + {file = "fonttools-4.55.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:bc6f58976ffc19fe1630119a2736153b66151d023c6f30065f31c9e8baed1303"}, + {file = "fonttools-4.55.6-cp312-cp312-win32.whl", hash = "sha256:4259159715142c10b0f4d121ef14da3fa6eafc719289d9efa4b20c15e57fef82"}, + {file = "fonttools-4.55.6-cp312-cp312-win_amd64.whl", hash = "sha256:d91fce2e9a87cc0db9f8042281b6458f99854df810cfefab2baf6ab2acc0f4b4"}, + {file = "fonttools-4.55.6-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:9394813cc73fa22c5413ec1c5745c0a16f68dd2b890f7c55eaba5cb40187ed55"}, + {file = "fonttools-4.55.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ac817559a7d245454231374e194b4e457dca6fefa5b52af466ab0516e9a09c6e"}, + {file = "fonttools-4.55.6-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34405f1314f1e88b1877a9f9e497fe45190e8c4b29a6c7cd85ed7f666a57d702"}, + {file = "fonttools-4.55.6-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:af5469bbf555047efd8752d85faeb2a3510916ddc6c50dd6fb168edf1677408f"}, + {file = "fonttools-4.55.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:8a8004a19195eb8a8a13de69e26ec9ed60a5bc1fde336d0021b47995b368fac9"}, + {file = "fonttools-4.55.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:73a4aaf672e7b2265c6354a69cbbadf71b7f3133ecb74e98fec4c67c366698a3"}, + {file = "fonttools-4.55.6-cp313-cp313-win32.whl", hash = "sha256:73bdff9c44d36c57ea84766afc20517eda0c9bb1571b4a09876646264bd5ff3b"}, + {file = "fonttools-4.55.6-cp313-cp313-win_amd64.whl", hash = "sha256:132fa22be8a99784de8cb171b30425a581f04a40ec1c05183777fb2b1fe3bac9"}, + {file = "fonttools-4.55.6-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8398928acb8a57073606feb9a310682d4a7e2d7536f2c61719261f4c0974504c"}, + {file = "fonttools-4.55.6-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c2f78ebfdef578d4db7c44bc207ac5f9a5c1f22c9db606460dcc8ad48e183338"}, + {file = "fonttools-4.55.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fb545f3a4ebada908fa717ec732277de18dd10161f03ee3b3144d34477804de"}, + {file = "fonttools-4.55.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1062daa0390b32bfd062ded2b450db9e9cf10e5a9919561c13f535e818b1952b"}, + {file = "fonttools-4.55.6-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:860ab9ed3f9e088d3bdb77b9074e656635f173b039e77d550b603cba052a0dca"}, + {file = "fonttools-4.55.6-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:03701e7de70c71eb5965cb200986b0c11dfa3cf8e843e4f517ee30a0f43f0a25"}, + {file = "fonttools-4.55.6-cp38-cp38-win32.whl", hash = "sha256:f66561fbfb75785d06513b8025a50be37bf970c3c413e87581cc6eff10bc78f1"}, + {file = "fonttools-4.55.6-cp38-cp38-win_amd64.whl", hash = "sha256:edf159a8f1e48dc4683a715b36da76dd2f82954b16bfe11a215d58e963d31cfc"}, + {file = "fonttools-4.55.6-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:61aa1997c520bee4cde14ffabe81efc4708c500c8c81dce37831551627a2be56"}, + {file = "fonttools-4.55.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7954ea66a8d835f279c17d8474597a001ddd65a2c1ca97e223041bfbbe11f65e"}, + {file = "fonttools-4.55.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3f4e88f15f5ed4d2e4bdfcc98540bb3987ae25904f9be304be9a604e7a7050a1"}, + {file = "fonttools-4.55.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d419483a6295e83cabddb56f1c7b7bfdc8169de2fcb5c68d622bd11140355f9"}, + {file = "fonttools-4.55.6-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:acc74884afddc2656bffc50100945ff407574538c152931c402fccddc46f0abc"}, + {file = "fonttools-4.55.6-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:a55489c7e9d5ea69690a2afad06723c3d0c48c6d276a25391ea97cb31a16b37c"}, + {file = "fonttools-4.55.6-cp39-cp39-win32.whl", hash = "sha256:8c9de8d16d02ecc8b65e3f3d2d1e3002be2c4a3f094d580faf76d7f768bd45fe"}, + {file = "fonttools-4.55.6-cp39-cp39-win_amd64.whl", hash = "sha256:471961af7a4b8461fac0c8ee044b4986e6fe3746d4c83a1aacbdd85b4eb53f93"}, + {file = "fonttools-4.55.6-py3-none-any.whl", hash = "sha256:d20ab5a78d0536c26628eaadba661e7ae2427b1e5c748a0a510a44d914e1b155"}, + {file = "fonttools-4.55.6.tar.gz", hash = "sha256:1beb4647a0df5ceaea48015656525eb8081af226fe96554089fd3b274d239ef0"}, ] [package.extras] @@ -1995,6 +2006,135 @@ files = [ {file = "giturlparse-0.12.0.tar.gz", hash = "sha256:c0fff7c21acc435491b1779566e038757a205c1ffdcb47e4f81ea52ad8c3859a"}, ] +[[package]] +name = "google-ai-generativelanguage" +version = "0.6.15" +description = "Google Ai Generativelanguage API client library" +optional = true +python-versions = ">=3.7" +files = [ + {file = "google_ai_generativelanguage-0.6.15-py3-none-any.whl", hash = "sha256:5a03ef86377aa184ffef3662ca28f19eeee158733e45d7947982eb953c6ebb6c"}, + {file = "google_ai_generativelanguage-0.6.15.tar.gz", hash = "sha256:8f6d9dc4c12b065fe2d0289026171acea5183ebf2d0b11cefe12f3821e159ec3"}, +] + +[package.dependencies] +google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]} +google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev" +proto-plus = ">=1.22.3,<2.0.0dev" +protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev" + +[[package]] +name = "google-api-core" +version = "2.24.0" +description = "Google API client core library" +optional = true +python-versions = ">=3.7" +files = [ + {file = "google_api_core-2.24.0-py3-none-any.whl", hash = "sha256:10d82ac0fca69c82a25b3efdeefccf6f28e02ebb97925a8cce8edbfe379929d9"}, + {file = "google_api_core-2.24.0.tar.gz", hash = "sha256:e255640547a597a4da010876d333208ddac417d60add22b6851a0c66a831fcaf"}, +] + +[package.dependencies] +google-auth = ">=2.14.1,<3.0.dev0" +googleapis-common-protos = ">=1.56.2,<2.0.dev0" +grpcio = [ + {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}, + {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, +] +grpcio-status = [ + {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}, + {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}, +] +proto-plus = ">=1.22.3,<2.0.0dev" +protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0" +requests = ">=2.18.0,<3.0.0.dev0" + +[package.extras] +async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"] +grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"] +grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] +grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] + +[[package]] +name = "google-api-python-client" +version = "2.159.0" +description = "Google API Client Library for Python" +optional = true +python-versions = ">=3.7" +files = [ + {file = "google_api_python_client-2.159.0-py2.py3-none-any.whl", hash = "sha256:baef0bb631a60a0bd7c0bf12a5499e3a40cd4388484de7ee55c1950bf820a0cf"}, + {file = "google_api_python_client-2.159.0.tar.gz", hash = "sha256:55197f430f25c907394b44fa078545ffef89d33fd4dca501b7db9f0d8e224bd6"}, +] + +[package.dependencies] +google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0.dev0" +google-auth = ">=1.32.0,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0.dev0" +google-auth-httplib2 = ">=0.2.0,<1.0.0" +httplib2 = ">=0.19.0,<1.dev0" +uritemplate = ">=3.0.1,<5" + +[[package]] +name = "google-auth" +version = "2.38.0" +description = "Google Authentication Library" +optional = true +python-versions = ">=3.7" +files = [ + {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"}, + {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"}, +] + +[package.dependencies] +cachetools = ">=2.0.0,<6.0" +pyasn1-modules = ">=0.2.1" +rsa = ">=3.1.4,<5" + +[package.extras] +aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"] +enterprise-cert = ["cryptography", "pyopenssl"] +pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"] +pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"] +reauth = ["pyu2f (>=0.1.5)"] +requests = ["requests (>=2.20.0,<3.0.0.dev0)"] + +[[package]] +name = "google-auth-httplib2" +version = "0.2.0" +description = "Google Authentication Library: httplib2 transport" +optional = true +python-versions = "*" +files = [ + {file = "google-auth-httplib2-0.2.0.tar.gz", hash = "sha256:38aa7badf48f974f1eb9861794e9c0cb2a0511a4ec0679b1f886d108f5640e05"}, + {file = "google_auth_httplib2-0.2.0-py2.py3-none-any.whl", hash = "sha256:b65a0a2123300dd71281a7bf6e64d65a0759287df52729bdd1ae2e47dc311a3d"}, +] + +[package.dependencies] +google-auth = "*" +httplib2 = ">=0.19.0" + +[[package]] +name = "google-generativeai" +version = "0.8.4" +description = "Google Generative AI High level API client library and tools." +optional = true +python-versions = ">=3.9" +files = [ + {file = "google_generativeai-0.8.4-py3-none-any.whl", hash = "sha256:e987b33ea6decde1e69191ddcaec6ef974458864d243de7191db50c21a7c5b82"}, +] + +[package.dependencies] +google-ai-generativelanguage = "0.6.15" +google-api-core = "*" +google-api-python-client = "*" +google-auth = ">=2.15.0" +protobuf = "*" +pydantic = "*" +tqdm = "*" +typing-extensions = "*" + +[package.extras] +dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "pyyaml"] + [[package]] name = "googleapis-common-protos" version = "1.66.0" @@ -2138,13 +2278,13 @@ test = ["objgraph", "psutil"] [[package]] name = "griffe" -version = "1.5.4" +version = "1.5.5" description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API." optional = false python-versions = ">=3.9" files = [ - {file = "griffe-1.5.4-py3-none-any.whl", hash = "sha256:ed33af890586a5bebc842fcb919fc694b3dc1bc55b7d9e0228de41ce566b4a1d"}, - {file = "griffe-1.5.4.tar.gz", hash = "sha256:073e78ad3e10c8378c2f798bd4ef87b92d8411e9916e157fd366a17cc4fd4e52"}, + {file = "griffe-1.5.5-py3-none-any.whl", hash = "sha256:2761b1e8876c6f1f9ab1af274df93ea6bbadd65090de5f38f4cb5cc84897c7dd"}, + {file = "griffe-1.5.5.tar.gz", hash = "sha256:35ee5b38b93d6a839098aad0f92207e6ad6b70c3e8866c08ca669275b8cba585"}, ] [package.dependencies] @@ -2171,151 +2311,169 @@ typing-extensions = ">=4.7,<5" [[package]] name = "grpcio" -version = "1.60.1" +version = "1.67.1" description = "HTTP/2-based RPC framework" optional = true -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "grpcio-1.60.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:14e8f2c84c0832773fb3958240c69def72357bc11392571f87b2d7b91e0bb092"}, - {file = "grpcio-1.60.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:33aed0a431f5befeffd9d346b0fa44b2c01aa4aeae5ea5b2c03d3e25e0071216"}, - {file = "grpcio-1.60.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:fead980fbc68512dfd4e0c7b1f5754c2a8e5015a04dea454b9cada54a8423525"}, - {file = "grpcio-1.60.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:082081e6a36b6eb5cf0fd9a897fe777dbb3802176ffd08e3ec6567edd85bc104"}, - {file = "grpcio-1.60.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:55ccb7db5a665079d68b5c7c86359ebd5ebf31a19bc1a91c982fd622f1e31ff2"}, - {file = "grpcio-1.60.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:9b54577032d4f235452f77a83169b6527bf4b77d73aeada97d45b2aaf1bf5ce0"}, - {file = "grpcio-1.60.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7d142bcd604166417929b071cd396aa13c565749a4c840d6c702727a59d835eb"}, - {file = "grpcio-1.60.1-cp310-cp310-win32.whl", hash = "sha256:2a6087f234cb570008a6041c8ffd1b7d657b397fdd6d26e83d72283dae3527b1"}, - {file = "grpcio-1.60.1-cp310-cp310-win_amd64.whl", hash = "sha256:f2212796593ad1d0235068c79836861f2201fc7137a99aa2fea7beeb3b101177"}, - {file = "grpcio-1.60.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:79ae0dc785504cb1e1788758c588c711f4e4a0195d70dff53db203c95a0bd303"}, - {file = "grpcio-1.60.1-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:4eec8b8c1c2c9b7125508ff7c89d5701bf933c99d3910e446ed531cd16ad5d87"}, - {file = "grpcio-1.60.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:8c9554ca8e26241dabe7951aa1fa03a1ba0856688ecd7e7bdbdd286ebc272e4c"}, - {file = "grpcio-1.60.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91422ba785a8e7a18725b1dc40fbd88f08a5bb4c7f1b3e8739cab24b04fa8a03"}, - {file = "grpcio-1.60.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cba6209c96828711cb7c8fcb45ecef8c8859238baf15119daa1bef0f6c84bfe7"}, - {file = "grpcio-1.60.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c71be3f86d67d8d1311c6076a4ba3b75ba5703c0b856b4e691c9097f9b1e8bd2"}, - {file = "grpcio-1.60.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:af5ef6cfaf0d023c00002ba25d0751e5995fa0e4c9eec6cd263c30352662cbce"}, - {file = "grpcio-1.60.1-cp311-cp311-win32.whl", hash = "sha256:a09506eb48fa5493c58f946c46754ef22f3ec0df64f2b5149373ff31fb67f3dd"}, - {file = "grpcio-1.60.1-cp311-cp311-win_amd64.whl", hash = "sha256:49c9b6a510e3ed8df5f6f4f3c34d7fbf2d2cae048ee90a45cd7415abab72912c"}, - {file = "grpcio-1.60.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:b58b855d0071575ea9c7bc0d84a06d2edfbfccec52e9657864386381a7ce1ae9"}, - {file = "grpcio-1.60.1-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:a731ac5cffc34dac62053e0da90f0c0b8560396a19f69d9703e88240c8f05858"}, - {file = "grpcio-1.60.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:cf77f8cf2a651fbd869fbdcb4a1931464189cd210abc4cfad357f1cacc8642a6"}, - {file = "grpcio-1.60.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c557e94e91a983e5b1e9c60076a8fd79fea1e7e06848eb2e48d0ccfb30f6e073"}, - {file = "grpcio-1.60.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:069fe2aeee02dfd2135d562d0663fe70fbb69d5eed6eb3389042a7e963b54de8"}, - {file = "grpcio-1.60.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:cb0af13433dbbd1c806e671d81ec75bd324af6ef75171fd7815ca3074fe32bfe"}, - {file = "grpcio-1.60.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:2f44c32aef186bbba254129cea1df08a20be414144ac3bdf0e84b24e3f3b2e05"}, - {file = "grpcio-1.60.1-cp312-cp312-win32.whl", hash = "sha256:a212e5dea1a4182e40cd3e4067ee46be9d10418092ce3627475e995cca95de21"}, - {file = "grpcio-1.60.1-cp312-cp312-win_amd64.whl", hash = "sha256:6e490fa5f7f5326222cb9f0b78f207a2b218a14edf39602e083d5f617354306f"}, - {file = "grpcio-1.60.1-cp37-cp37m-linux_armv7l.whl", hash = "sha256:4216e67ad9a4769117433814956031cb300f85edc855252a645a9a724b3b6594"}, - {file = "grpcio-1.60.1-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:73e14acd3d4247169955fae8fb103a2b900cfad21d0c35f0dcd0fdd54cd60367"}, - {file = "grpcio-1.60.1-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:6ecf21d20d02d1733e9c820fb5c114c749d888704a7ec824b545c12e78734d1c"}, - {file = "grpcio-1.60.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:33bdea30dcfd4f87b045d404388469eb48a48c33a6195a043d116ed1b9a0196c"}, - {file = "grpcio-1.60.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:53b69e79d00f78c81eecfb38f4516080dc7f36a198b6b37b928f1c13b3c063e9"}, - {file = "grpcio-1.60.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:39aa848794b887120b1d35b1b994e445cc028ff602ef267f87c38122c1add50d"}, - {file = "grpcio-1.60.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:72153a0d2e425f45b884540a61c6639436ddafa1829a42056aa5764b84108b8e"}, - {file = "grpcio-1.60.1-cp37-cp37m-win_amd64.whl", hash = "sha256:50d56280b482875d1f9128ce596e59031a226a8b84bec88cb2bf76c289f5d0de"}, - {file = "grpcio-1.60.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:6d140bdeb26cad8b93c1455fa00573c05592793c32053d6e0016ce05ba267549"}, - {file = "grpcio-1.60.1-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:bc808924470643b82b14fe121923c30ec211d8c693e747eba8a7414bc4351a23"}, - {file = "grpcio-1.60.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:70c83bb530572917be20c21f3b6be92cd86b9aecb44b0c18b1d3b2cc3ae47df0"}, - {file = "grpcio-1.60.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9b106bc52e7f28170e624ba61cc7dc6829566e535a6ec68528f8e1afbed1c41f"}, - {file = "grpcio-1.60.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:30e980cd6db1088c144b92fe376747328d5554bc7960ce583ec7b7d81cd47287"}, - {file = "grpcio-1.60.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:0c5807e9152eff15f1d48f6b9ad3749196f79a4a050469d99eecb679be592acc"}, - {file = "grpcio-1.60.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f1c3dc536b3ee124e8b24feb7533e5c70b9f2ef833e3b2e5513b2897fd46763a"}, - {file = "grpcio-1.60.1-cp38-cp38-win32.whl", hash = "sha256:d7404cebcdb11bb5bd40bf94131faf7e9a7c10a6c60358580fe83913f360f929"}, - {file = "grpcio-1.60.1-cp38-cp38-win_amd64.whl", hash = "sha256:c8754c75f55781515a3005063d9a05878b2cfb3cb7e41d5401ad0cf19de14872"}, - {file = "grpcio-1.60.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:0250a7a70b14000fa311de04b169cc7480be6c1a769b190769d347939d3232a8"}, - {file = "grpcio-1.60.1-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:660fc6b9c2a9ea3bb2a7e64ba878c98339abaf1811edca904ac85e9e662f1d73"}, - {file = "grpcio-1.60.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:76eaaba891083fcbe167aa0f03363311a9f12da975b025d30e94b93ac7a765fc"}, - {file = "grpcio-1.60.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5d97c65ea7e097056f3d1ead77040ebc236feaf7f71489383d20f3b4c28412a"}, - {file = "grpcio-1.60.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bb2a2911b028f01c8c64d126f6b632fcd8a9ac975aa1b3855766c94e4107180"}, - {file = "grpcio-1.60.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:5a1ebbae7e2214f51b1f23b57bf98eeed2cf1ba84e4d523c48c36d5b2f8829ff"}, - {file = "grpcio-1.60.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9a66f4d2a005bc78e61d805ed95dedfcb35efa84b7bba0403c6d60d13a3de2d6"}, - {file = "grpcio-1.60.1-cp39-cp39-win32.whl", hash = "sha256:8d488fbdbf04283f0d20742b64968d44825617aa6717b07c006168ed16488804"}, - {file = "grpcio-1.60.1-cp39-cp39-win_amd64.whl", hash = "sha256:61b7199cd2a55e62e45bfb629a35b71fc2c0cb88f686a047f25b1112d3810904"}, - {file = "grpcio-1.60.1.tar.gz", hash = "sha256:dd1d3a8d1d2e50ad9b59e10aa7f07c7d1be2b367f3f2d33c5fade96ed5460962"}, + {file = "grpcio-1.67.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:8b0341d66a57f8a3119b77ab32207072be60c9bf79760fa609c5609f2deb1f3f"}, + {file = "grpcio-1.67.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:f5a27dddefe0e2357d3e617b9079b4bfdc91341a91565111a21ed6ebbc51b22d"}, + {file = "grpcio-1.67.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:43112046864317498a33bdc4797ae6a268c36345a910de9b9c17159d8346602f"}, + {file = "grpcio-1.67.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c9b929f13677b10f63124c1a410994a401cdd85214ad83ab67cc077fc7e480f0"}, + {file = "grpcio-1.67.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7d1797a8a3845437d327145959a2c0c47c05947c9eef5ff1a4c80e499dcc6fa"}, + {file = "grpcio-1.67.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:0489063974d1452436139501bf6b180f63d4977223ee87488fe36858c5725292"}, + {file = "grpcio-1.67.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9fd042de4a82e3e7aca44008ee2fb5da01b3e5adb316348c21980f7f58adc311"}, + {file = "grpcio-1.67.1-cp310-cp310-win32.whl", hash = "sha256:638354e698fd0c6c76b04540a850bf1db27b4d2515a19fcd5cf645c48d3eb1ed"}, + {file = "grpcio-1.67.1-cp310-cp310-win_amd64.whl", hash = "sha256:608d87d1bdabf9e2868b12338cd38a79969eaf920c89d698ead08f48de9c0f9e"}, + {file = "grpcio-1.67.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:7818c0454027ae3384235a65210bbf5464bd715450e30a3d40385453a85a70cb"}, + {file = "grpcio-1.67.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ea33986b70f83844cd00814cee4451055cd8cab36f00ac64a31f5bb09b31919e"}, + {file = "grpcio-1.67.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:c7a01337407dd89005527623a4a72c5c8e2894d22bead0895306b23c6695698f"}, + {file = "grpcio-1.67.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:80b866f73224b0634f4312a4674c1be21b2b4afa73cb20953cbbb73a6b36c3cc"}, + {file = "grpcio-1.67.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9fff78ba10d4250bfc07a01bd6254a6d87dc67f9627adece85c0b2ed754fa96"}, + {file = "grpcio-1.67.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:8a23cbcc5bb11ea7dc6163078be36c065db68d915c24f5faa4f872c573bb400f"}, + {file = "grpcio-1.67.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1a65b503d008f066e994f34f456e0647e5ceb34cfcec5ad180b1b44020ad4970"}, + {file = "grpcio-1.67.1-cp311-cp311-win32.whl", hash = "sha256:e29ca27bec8e163dca0c98084040edec3bc49afd10f18b412f483cc68c712744"}, + {file = "grpcio-1.67.1-cp311-cp311-win_amd64.whl", hash = "sha256:786a5b18544622bfb1e25cc08402bd44ea83edfb04b93798d85dca4d1a0b5be5"}, + {file = "grpcio-1.67.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:267d1745894200e4c604958da5f856da6293f063327cb049a51fe67348e4f953"}, + {file = "grpcio-1.67.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:85f69fdc1d28ce7cff8de3f9c67db2b0ca9ba4449644488c1e0303c146135ddb"}, + {file = "grpcio-1.67.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:f26b0b547eb8d00e195274cdfc63ce64c8fc2d3e2d00b12bf468ece41a0423a0"}, + {file = "grpcio-1.67.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4422581cdc628f77302270ff839a44f4c24fdc57887dc2a45b7e53d8fc2376af"}, + {file = "grpcio-1.67.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d7616d2ded471231c701489190379e0c311ee0a6c756f3c03e6a62b95a7146e"}, + {file = "grpcio-1.67.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:8a00efecde9d6fcc3ab00c13f816313c040a28450e5e25739c24f432fc6d3c75"}, + {file = "grpcio-1.67.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:699e964923b70f3101393710793289e42845791ea07565654ada0969522d0a38"}, + {file = "grpcio-1.67.1-cp312-cp312-win32.whl", hash = "sha256:4e7b904484a634a0fff132958dabdb10d63e0927398273917da3ee103e8d1f78"}, + {file = "grpcio-1.67.1-cp312-cp312-win_amd64.whl", hash = "sha256:5721e66a594a6c4204458004852719b38f3d5522082be9061d6510b455c90afc"}, + {file = "grpcio-1.67.1-cp313-cp313-linux_armv7l.whl", hash = "sha256:aa0162e56fd10a5547fac8774c4899fc3e18c1aa4a4759d0ce2cd00d3696ea6b"}, + {file = "grpcio-1.67.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:beee96c8c0b1a75d556fe57b92b58b4347c77a65781ee2ac749d550f2a365dc1"}, + {file = "grpcio-1.67.1-cp313-cp313-manylinux_2_17_aarch64.whl", hash = "sha256:a93deda571a1bf94ec1f6fcda2872dad3ae538700d94dc283c672a3b508ba3af"}, + {file = "grpcio-1.67.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0e6f255980afef598a9e64a24efce87b625e3e3c80a45162d111a461a9f92955"}, + {file = "grpcio-1.67.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e838cad2176ebd5d4a8bb03955138d6589ce9e2ce5d51c3ada34396dbd2dba8"}, + {file = "grpcio-1.67.1-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:a6703916c43b1d468d0756c8077b12017a9fcb6a1ef13faf49e67d20d7ebda62"}, + {file = "grpcio-1.67.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:917e8d8994eed1d86b907ba2a61b9f0aef27a2155bca6cbb322430fc7135b7bb"}, + {file = "grpcio-1.67.1-cp313-cp313-win32.whl", hash = "sha256:e279330bef1744040db8fc432becc8a727b84f456ab62b744d3fdb83f327e121"}, + {file = "grpcio-1.67.1-cp313-cp313-win_amd64.whl", hash = "sha256:fa0c739ad8b1996bd24823950e3cb5152ae91fca1c09cc791190bf1627ffefba"}, + {file = "grpcio-1.67.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:178f5db771c4f9a9facb2ab37a434c46cb9be1a75e820f187ee3d1e7805c4f65"}, + {file = "grpcio-1.67.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0f3e49c738396e93b7ba9016e153eb09e0778e776df6090c1b8c91877cc1c426"}, + {file = "grpcio-1.67.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:24e8a26dbfc5274d7474c27759b54486b8de23c709d76695237515bc8b5baeab"}, + {file = "grpcio-1.67.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b6c16489326d79ead41689c4b84bc40d522c9a7617219f4ad94bc7f448c5085"}, + {file = "grpcio-1.67.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60e6a4dcf5af7bbc36fd9f81c9f372e8ae580870a9e4b6eafe948cd334b81cf3"}, + {file = "grpcio-1.67.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:95b5f2b857856ed78d72da93cd7d09b6db8ef30102e5e7fe0961fe4d9f7d48e8"}, + {file = "grpcio-1.67.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b49359977c6ec9f5d0573ea4e0071ad278ef905aa74e420acc73fd28ce39e9ce"}, + {file = "grpcio-1.67.1-cp38-cp38-win32.whl", hash = "sha256:f5b76ff64aaac53fede0cc93abf57894ab2a7362986ba22243d06218b93efe46"}, + {file = "grpcio-1.67.1-cp38-cp38-win_amd64.whl", hash = "sha256:804c6457c3cd3ec04fe6006c739579b8d35c86ae3298ffca8de57b493524b771"}, + {file = "grpcio-1.67.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:a25bdea92b13ff4d7790962190bf6bf5c4639876e01c0f3dda70fc2769616335"}, + {file = "grpcio-1.67.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cdc491ae35a13535fd9196acb5afe1af37c8237df2e54427be3eecda3653127e"}, + {file = "grpcio-1.67.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:85f862069b86a305497e74d0dc43c02de3d1d184fc2c180993aa8aa86fbd19b8"}, + {file = "grpcio-1.67.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ec74ef02010186185de82cc594058a3ccd8d86821842bbac9873fd4a2cf8be8d"}, + {file = "grpcio-1.67.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01f616a964e540638af5130469451cf580ba8c7329f45ca998ab66e0c7dcdb04"}, + {file = "grpcio-1.67.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:299b3d8c4f790c6bcca485f9963b4846dd92cf6f1b65d3697145d005c80f9fe8"}, + {file = "grpcio-1.67.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:60336bff760fbb47d7e86165408126f1dded184448e9a4c892189eb7c9d3f90f"}, + {file = "grpcio-1.67.1-cp39-cp39-win32.whl", hash = "sha256:5ed601c4c6008429e3d247ddb367fe8c7259c355757448d7c1ef7bd4a6739e8e"}, + {file = "grpcio-1.67.1-cp39-cp39-win_amd64.whl", hash = "sha256:5db70d32d6703b89912af16d6d45d78406374a8b8ef0d28140351dd0ec610e98"}, + {file = "grpcio-1.67.1.tar.gz", hash = "sha256:3dc2ed4cabea4dc14d5e708c2b426205956077cc5de419b4d4079315017e9732"}, ] [package.extras] -protobuf = ["grpcio-tools (>=1.60.1)"] +protobuf = ["grpcio-tools (>=1.67.1)"] [[package]] name = "grpcio-health-checking" -version = "1.60.1" +version = "1.67.1" description = "Standard Health Checking Service for gRPC" optional = true -python-versions = ">=3.6" +python-versions = ">=3.8" files = [ - {file = "grpcio-health-checking-1.60.1.tar.gz", hash = "sha256:7c2e48ce9d5bdb19ad57b7abe3438d47ebdead507866939140720b3e28c625b3"}, - {file = "grpcio_health_checking-1.60.1-py3-none-any.whl", hash = "sha256:96dc89800cabdc943a5734e037fadea5f94c31c76e043638e448c1865b34d894"}, + {file = "grpcio_health_checking-1.67.1-py3-none-any.whl", hash = "sha256:93753da5062152660aef2286c9b261e07dd87124a65e4dc9fbd47d1ce966b39d"}, + {file = "grpcio_health_checking-1.67.1.tar.gz", hash = "sha256:ca90fa76a6afbb4fda71d734cb9767819bba14928b91e308cffbb0c311eb941e"}, ] [package.dependencies] -grpcio = ">=1.60.1" -protobuf = ">=4.21.6" +grpcio = ">=1.67.1" +protobuf = ">=5.26.1,<6.0dev" + +[[package]] +name = "grpcio-status" +version = "1.67.1" +description = "Status proto mapping for gRPC" +optional = true +python-versions = ">=3.8" +files = [ + {file = "grpcio_status-1.67.1-py3-none-any.whl", hash = "sha256:16e6c085950bdacac97c779e6a502ea671232385e6e37f258884d6883392c2bd"}, + {file = "grpcio_status-1.67.1.tar.gz", hash = "sha256:2bf38395e028ceeecfd8866b081f61628114b384da7d51ae064ddc8d766a5d11"}, +] + +[package.dependencies] +googleapis-common-protos = ">=1.5.5" +grpcio = ">=1.67.1" +protobuf = ">=5.26.1,<6.0dev" [[package]] name = "grpcio-tools" -version = "1.60.1" +version = "1.67.1" description = "Protobuf code generator for gRPC" optional = true -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "grpcio-tools-1.60.1.tar.gz", hash = "sha256:da08224ab8675c6d464b988bd8ca02cccd2bf0275bceefe8f6219bfd4a4f5e85"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:184b27333b627a7cc0972fb70d21a8bb7c02ac4a6febc16768d78ea8ff883ddd"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:18d7737f29ef5bbe3352547d0eccd080807834f00df223867dfc860bf81e9180"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:cc8ba358d2c658c6ecbc58e779bf0fc5a673fecac015a70db27fc5b4d37b76b6"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2973f75e8ba5c551033a1d59cc97654f6f386deaf2559082011d245d7ed87bba"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28ae665113affebdd109247386786e5ab4dccfcfad1b5f68e9cce2e326b57ee6"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:5c7ed086fef5ff59f46d53a052b1934b73e0f7d12365d656d6af3a88057d5a3e"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8540f6480428a52614db71dd6394f52cbc0d2565b5ea1136a982f26390a42c7a"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-win32.whl", hash = "sha256:5b4a939097005531edec331f22d0b82bff26e71ede009354d2f375b5d41e74f0"}, - {file = "grpcio_tools-1.60.1-cp310-cp310-win_amd64.whl", hash = "sha256:075bb67895970f96aabc1761ca674bf4db193f8fcad387f08e50402023b5f953"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:284749d20fb22418f17d3d351b9eb838caf4a0393a9cb02c36e5c32fa4bbe9db"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-macosx_10_10_universal2.whl", hash = "sha256:b1041377cf32ee2338284ee26e6b9c10f9ea7728092376b19803dcb9b91d510d"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:e529cd3d4109a6f4a3f7bdaca68946eb33734e2d7ffe861785a0586abe99ee67"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:31294b534f25f02ead204e58dcbe0e5437a95a1a6f276bb9378905595b02ff6d"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3fb6f4d2df0388c35c2804ba170f511238a681b679ead013bfe5e39d0ea9cf48"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:40cd8268a675269ce59c4fa50877597ec638bb1099c52237bb726c8ac9791868"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:985ac476da365267a2367ab20060f9096fbfc2e190fb02dd394f9ec05edf03ca"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-win32.whl", hash = "sha256:bd85f6c368b93ae45edf8568473053cb1cc075ef3489efb18f9832d4ecce062f"}, - {file = "grpcio_tools-1.60.1-cp311-cp311-win_amd64.whl", hash = "sha256:c20e752ff5057758845f4e5c7a298739bfba291f373ed18ea9c7c7acbe69e8ab"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:aafc94616c5f89c891d859057b194a153c451f9921053454e9d7d4cbf79047eb"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-macosx_10_10_universal2.whl", hash = "sha256:9bba347000f57dae8aea79c0d76ef7d72895597524d30d0170c7d1974a3a03f3"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:1e96a532d38411f0543fe1903ff522f7142a9901afb0ed94de58d79caf1905be"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5ea6e397d87f458bb2c387a4a6e1b65df74ce5b5194a1f16850c38309012e981"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3aeecd5b8faa2aab67e6c8b8a57e888c00ce70d39f331ede0a21312e92def1a6"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:d2c26ce5f774c98bd2d3d8d1703048394018b55d297ebdb41ed2ba35b9a34f68"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:214281cdafb7acfdcde848eca2de7c888a6e2b5cd25ab579712b965ea09a9cd4"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-win32.whl", hash = "sha256:8c4b917aa4fcdc77990773063f0f14540aab8d4a8bf6c862b964a45d891a31d2"}, - {file = "grpcio_tools-1.60.1-cp312-cp312-win_amd64.whl", hash = "sha256:0aa34c7c21cff2177a4096b2b0d51dfbc9f8a41f929847a434e89b352c5a215d"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-linux_armv7l.whl", hash = "sha256:acdba77584981fe799104aa545d9d97910bcf88c69b668b768c1f3e7d7e5afac"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-macosx_10_10_universal2.whl", hash = "sha256:2a7fa55bc62d4b8ebe6fb26f8cf89df3cf3b504eb6c5f3a2f0174689d35fddb0"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-manylinux_2_17_aarch64.whl", hash = "sha256:dffa326cf901fe08a0e218d9fdf593f12276088a8caa07fcbec7d051149cf9ef"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf945bd22f396c0d0c691e0990db2bfc4e77816b1edc2aea8a69c35ae721aac9"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6801cfc5a85f0fb6fd12cade45942aaa1c814422328d594d12d364815fe34123"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:f95bdc6c7c50b7fc442e53537bc5b4eb8cab2a671c1da80d40b5a4ab1fd5d416"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:402efeec36d8b12b792bae8a900085416fc2f57a34b599445ace2e847b6b0d75"}, - {file = "grpcio_tools-1.60.1-cp37-cp37m-win_amd64.whl", hash = "sha256:af88a2062b9c35034a80b25f289034b9c3c00c42bb88efaa465503a06fbd6a87"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:46b495bae31c5d3f6ac0240eb848f0642b5410f80dff2aacdea20cdea3938c1d"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-macosx_10_10_universal2.whl", hash = "sha256:b5ae375207af9aa82f516dcd513d2e0c83690b7788d45844daad846ed87550f8"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:15f13e8f3d77b96adcb1e3615acec5b100bd836c6010c58a51465bcb9c06d128"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c354505e6a3d170da374f20404ea6a78135502df4f5534e5c532bdf24c4cc2a5"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8cfab27ba2bd36a3e3b522aed686133531e8b919703d0247a0885dae8815317"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:b6ef213cb0aecb2832ee82a2eac32f29f31f50b17ce020604d82205096a6bd0c"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0b62cb2d43a7f0eacc6a6962dfff7c2564874012e1a72ae4167e762f449e2912"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-win32.whl", hash = "sha256:3fcabf484720a9fa1690e2825fc940027a05a0c79a1075a730008ef634bd8ad2"}, - {file = "grpcio_tools-1.60.1-cp38-cp38-win_amd64.whl", hash = "sha256:22ce3e3d861321d208d8bfd6161ab976623520b179712c90b2c175151463a6b1"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:4e66fe204da15e08e599adb3060109a42927c0868fe8933e2d341ea649eceb03"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-macosx_10_10_universal2.whl", hash = "sha256:c1047bd831de5d9da761e9dc246988d5f07d722186938dfd5f34807398101010"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:eba5fafd70585fbd4cb6ae45e3c5e11d8598e2426c9f289b78f682c0606e81cb"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bba7230c60238c7a4ffa29f1aff6d78edb41f2c79cbe4443406472b1c80ccb5d"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2bb8efc2cd64bd8f2779b426dd7e94e60924078ba5150cbbb60a846e62d1ed2"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:26f91161a91f1601777751230eaaafdf416fed08a15c3ba2ae391088e4a906c6"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2c19be2bba5583e30f88bb5d71b430176c396f0d6d0db3785e5845bfa3d28cd2"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-win32.whl", hash = "sha256:9aadc9c00baa2064baa4414cff7c269455449f14805a355226674d89c507342c"}, - {file = "grpcio_tools-1.60.1-cp39-cp39-win_amd64.whl", hash = "sha256:652b08c9fef39186ce4f97f05f5440c0ed41f117db0f7d6cb0e0d75dbc6afd3f"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-linux_armv7l.whl", hash = "sha256:c701aaa51fde1f2644bd94941aa94c337adb86f25cd03cf05e37387aaea25800"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:6a722bba714392de2386569c40942566b83725fa5c5450b8910e3832a5379469"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-manylinux_2_17_aarch64.whl", hash = "sha256:0c7415235cb154e40b5ae90e2a172a0eb8c774b6876f53947cf0af05c983d549"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6a4c459098c4934f9470280baf9ff8b38c365e147f33c8abc26039a948a664a5"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e89bf53a268f55c16989dab1cf0b32a5bff910762f138136ffad4146129b7a10"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:f09cb3e6bcb140f57b878580cf3b848976f67faaf53d850a7da9bfac12437068"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:616dd0c6686212ca90ff899bb37eb774798677e43dc6f78c6954470782d37399"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-win32.whl", hash = "sha256:58a66dbb3f0fef0396737ac09d6571a7f8d96a544ce3ed04c161f3d4fa8d51cc"}, + {file = "grpcio_tools-1.67.1-cp310-cp310-win_amd64.whl", hash = "sha256:89ee7c505bdf152e67c2cced6055aed4c2d4170f53a2b46a7e543d3b90e7b977"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-linux_armv7l.whl", hash = "sha256:6d80ddd87a2fb7131d242f7d720222ef4f0f86f53ec87b0a6198c343d8e4a86e"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b655425b82df51f3bd9fd3ba1a6282d5c9ce1937709f059cb3d419b224532d89"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-manylinux_2_17_aarch64.whl", hash = "sha256:250241e6f9d20d0910a46887dfcbf2ec9108efd3b48f3fb95bb42d50d09d03f8"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6008f5a5add0b6f03082edb597acf20d5a9e4e7c55ea1edac8296c19e6a0ec8d"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5eff9818c3831fa23735db1fa39aeff65e790044d0a312260a0c41ae29cc2d9e"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:262ab7c40113f8c3c246e28e369661ddf616a351cb34169b8ba470c9a9c3b56f"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1eebd8c746adf5786fa4c3056258c21cc470e1eca51d3ed23a7fb6a697fe4e81"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-win32.whl", hash = "sha256:3eff92fb8ca1dd55e3af0ef02236c648921fb7d0e8ca206b889585804b3659ae"}, + {file = "grpcio_tools-1.67.1-cp311-cp311-win_amd64.whl", hash = "sha256:1ed18281ee17e5e0f9f6ce0c6eb3825ca9b5a0866fc1db2e17fab8aca28b8d9f"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-linux_armv7l.whl", hash = "sha256:bd5caef3a484e226d05a3f72b2d69af500dca972cf434bf6b08b150880166f0b"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:48a2d63d1010e5b218e8e758ecb2a8d63c0c6016434e9f973df1c3558917020a"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-manylinux_2_17_aarch64.whl", hash = "sha256:baa64a6aa009bffe86309e236c81b02cd4a88c1ebd66f2d92e84e9b97a9ae857"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4ab318c40b5e3c097a159035fc3e4ecfbe9b3d2c9de189e55468b2c27639a6ab"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50eba3e31f9ac1149463ad9182a37349850904f142cffbd957cd7f54ec320b8e"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:de6fbc071ecc4fe6e354a7939202191c1f1abffe37fbce9b08e7e9a5b93eba3d"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:db9e87f6ea4b0ce99b2651203480585fd9e8dd0dd122a19e46836e93e3a1b749"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-win32.whl", hash = "sha256:6a595a872fb720dde924c4e8200f41d5418dd6baab8cc1a3c1e540f8f4596351"}, + {file = "grpcio_tools-1.67.1-cp312-cp312-win_amd64.whl", hash = "sha256:92eebb9b31031604ae97ea7657ae2e43149b0394af7117ad7e15894b6cc136dc"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-linux_armv7l.whl", hash = "sha256:9a3b9510cc87b6458b05ad49a6dee38df6af37f9ee6aa027aa086537798c3d4a"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:9e4c9b9fa9b905f15d414cb7bd007ba7499f8907bdd21231ab287a86b27da81a"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-manylinux_2_17_aarch64.whl", hash = "sha256:e11a98b41af4bc88b7a738232b8fa0306ad82c79fa5d7090bb607f183a57856f"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:de0fcfe61c26679d64b1710746f2891f359593f76894fcf492c37148d5694f00"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ae3b3e2ee5aad59dece65a613624c46a84c9582fc3642686537c6dfae8e47dc"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-musllinux_1_1_i686.whl", hash = "sha256:9a630f83505b6471a3094a7a372a1240de18d0cd3e64f4fbf46b361bac2be65b"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:d85a1fcbacd3e08dc2b3d1d46b749351a9a50899fa35cf2ff040e1faf7d405ad"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-win32.whl", hash = "sha256:778470f025f25a1fca5a48c93c0a18af395b46b12dd8df7fca63736b85181f41"}, + {file = "grpcio_tools-1.67.1-cp313-cp313-win_amd64.whl", hash = "sha256:6961da86e9856b4ddee0bf51ef6636b4bf9c29c0715aa71f3c8f027c45d42654"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-linux_armv7l.whl", hash = "sha256:c088dfbbe289bb171ca9c98fabbf7ecc8c1c51af2ba384ef32a4fdcb784b17e9"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:11ce546daf8f8c04ee8d4a1673b4754cda4a0a9d505d820efd636e37f46b50c5"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-manylinux_2_17_aarch64.whl", hash = "sha256:83fecb2f6119ef0eea68a091964898418c1969375d399956ff8d1741beb7b081"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d39c1aa6b26e2602d815b9cfa37faba48b2889680ae6baa002560cf0f0c69fac"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e975dc9fb61a77d88e739eb17b3361f369d03cc754217f02dd83ec7cfac32e38"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6c6e5c5b15f2eedc2a81268d588d14a79a52020383bf87b3c7595df7b571504a"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a974e0ce01806adba718e6eb8c385defe6805b18969b6914da7db55fb055ae45"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-win32.whl", hash = "sha256:35e9b0a82be9f425aa67ee1dc69ba02cf135aeee3f22c0455c5d1b01769bbdb4"}, + {file = "grpcio_tools-1.67.1-cp38-cp38-win_amd64.whl", hash = "sha256:0436c97f29e654d2eccd7419907ee019caf7eea6bdc6ae91d98011f6c5f44f17"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-linux_armv7l.whl", hash = "sha256:718fbb6d68a3d000cb3cf381642660eade0e8c1b0bf7472b84b3367f5b56171d"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:062887d2e9cb8bc261c21a2b8da714092893ce62b4e072775eaa9b24dcbf3b31"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-manylinux_2_17_aarch64.whl", hash = "sha256:59dbf14a1ce928bf03a58fa157034374411159ab5d32ad83cf146d9400eed618"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ac552fc9c76d50408d7141e1fd1eae69d85fbf7ae71da4d8877eaa07127fbe74"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c6583773400e441dc62d08b5a32357babef1a9f9f73c3ac328a75af550815a9"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:862108f90f2f6408908e5ea4584c5104f7caf419c6d73aa3ff36bf8284cca224"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:587c6326425f37dca2291f46b93e446c07ee781cea27725865b806b7a049ec56"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-win32.whl", hash = "sha256:d7d46a4405bd763525215b6e073888386587aef9b4a5ec125bf97ba897ac757d"}, + {file = "grpcio_tools-1.67.1-cp39-cp39-win_amd64.whl", hash = "sha256:e2fc7980e8bab3ee5ab98b6fdc2a8fbaa4785f196d897531346176fda49a605c"}, + {file = "grpcio_tools-1.67.1.tar.gz", hash = "sha256:d9657f5ddc62b52f58904e6054b7d8a8909ed08a1e28b734be3a707087bcf004"}, ] [package.dependencies] -grpcio = ">=1.60.1" -protobuf = ">=4.21.6,<5.0dev" +grpcio = ">=1.67.1" +protobuf = ">=5.26.1,<6.0dev" setuptools = "*" [[package]] @@ -2366,29 +2524,29 @@ hyperframe = ">=6.0,<7" [[package]] name = "hexbytes" -version = "1.2.1" +version = "1.3.0" description = "hexbytes: Python `bytes` subclass that decodes hex, with a readable console output" optional = false python-versions = "<4,>=3.8" files = [ - {file = "hexbytes-1.2.1-py3-none-any.whl", hash = "sha256:e64890b203a31f4a23ef11470ecfcca565beaee9198df623047df322b757471a"}, - {file = "hexbytes-1.2.1.tar.gz", hash = "sha256:515f00dddf31053db4d0d7636dd16061c1d896c3109b8e751005db4ca46bcca7"}, + {file = "hexbytes-1.3.0-py3-none-any.whl", hash = "sha256:83720b529c6e15ed21627962938dc2dec9bb1010f17bbbd66bf1e6a8287d522c"}, + {file = "hexbytes-1.3.0.tar.gz", hash = "sha256:4a61840c24b0909a6534350e2d28ee50159ca1c9e89ce275fd31c110312cf684"}, ] [package.extras] -dev = ["build (>=0.9.0)", "bump-my-version (>=0.19.0)", "eth-utils (>=2.0.0)", "hypothesis (>=3.44.24,<=6.31.6)", "ipython", "mypy (==1.10.0)", "pre-commit (>=3.4.0)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)", "sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=4.0.0)", "twine", "wheel"] -docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"] -test = ["eth-utils (>=2.0.0)", "hypothesis (>=3.44.24,<=6.31.6)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"] +dev = ["build (>=0.9.0)", "bump_my_version (>=0.19.0)", "eth_utils (>=2.0.0)", "hypothesis (>=3.44.24,<=6.31.6)", "ipython", "mypy (==1.10.0)", "pre-commit (>=3.4.0)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)", "sphinx (>=6.0.0)", "sphinx-autobuild (>=2021.3.14)", "sphinx_rtd_theme (>=1.0.0)", "towncrier (>=24,<25)", "tox (>=4.0.0)", "twine", "wheel"] +docs = ["sphinx (>=6.0.0)", "sphinx-autobuild (>=2021.3.14)", "sphinx_rtd_theme (>=1.0.0)", "towncrier (>=24,<25)"] +test = ["eth_utils (>=2.0.0)", "hypothesis (>=3.44.24,<=6.31.6)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"] [[package]] name = "hpack" -version = "4.0.0" -description = "Pure-Python HPACK header compression" +version = "4.1.0" +description = "Pure-Python HPACK header encoding" optional = true -python-versions = ">=3.6.1" +python-versions = ">=3.9" files = [ - {file = "hpack-4.0.0-py3-none-any.whl", hash = "sha256:84a076fad3dc9a9f8063ccb8041ef100867b1878b25ef0ee63847a5d53818a6c"}, - {file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"}, + {file = "hpack-4.1.0-py3-none-any.whl", hash = "sha256:157ac792668d995c657d93111f46b4535ed114f0c9c8d672271bbec7eae1b496"}, + {file = "hpack-4.1.0.tar.gz", hash = "sha256:ec5eca154f7056aa06f196a557655c5b009b382873ac8d1e66e79e87535f1dca"}, ] [[package]] @@ -2443,6 +2601,20 @@ http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] trio = ["trio (>=0.22.0,<1.0)"] +[[package]] +name = "httplib2" +version = "0.22.0" +description = "A comprehensive HTTP client library." +optional = true +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +files = [ + {file = "httplib2-0.22.0-py3-none-any.whl", hash = "sha256:14ae0a53c1ba8f3d37e9e27cf37eabb0fb9980f435ba405d546948b009dd64dc"}, + {file = "httplib2-0.22.0.tar.gz", hash = "sha256:d7a10bc5ef5ab08322488bde8c726eeee5c8618723fdb399597ec58f3d82df81"}, +] + +[package.dependencies] +pyparsing = {version = ">=2.4.2,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0.2,<3.0.3 || >3.0.3,<4", markers = "python_version > \"3.0\""} + [[package]] name = "httpx" version = "0.27.0" @@ -2529,24 +2701,24 @@ tests = ["freezegun", "pytest", "pytest-cov"] [[package]] name = "hyperframe" -version = "6.0.1" -description = "HTTP/2 framing layer for Python" +version = "6.1.0" +description = "Pure-Python HTTP/2 framing" optional = true -python-versions = ">=3.6.1" +python-versions = ">=3.9" files = [ - {file = "hyperframe-6.0.1-py3-none-any.whl", hash = "sha256:0ec6bafd80d8ad2195c4f03aacba3a8265e57bc4cff261e802bf39970ed02a15"}, - {file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"}, + {file = "hyperframe-6.1.0-py3-none-any.whl", hash = "sha256:b03380493a519fce58ea5af42e4a42317bf9bd425596f7a0835ffce80f1a42e5"}, + {file = "hyperframe-6.1.0.tar.gz", hash = "sha256:f630908a00854a7adeabd6382b43923a4c4cd4b821fcb527e6ab9e15382a3b08"}, ] [[package]] name = "identify" -version = "2.6.5" +version = "2.6.6" description = "File identification library for Python" optional = false python-versions = ">=3.9" files = [ - {file = "identify-2.6.5-py2.py3-none-any.whl", hash = "sha256:14181a47091eb75b337af4c23078c9d09225cd4c48929f521f3bf16b09d02566"}, - {file = "identify-2.6.5.tar.gz", hash = "sha256:c10b33f250e5bba374fae86fb57f3adcebf1161bce7cdf92031915fd480c13bc"}, + {file = "identify-2.6.6-py2.py3-none-any.whl", hash = "sha256:cbd1810bce79f8b671ecb20f53ee0ae8e86ae84b557de31d89709dc2a48ba881"}, + {file = "identify-2.6.6.tar.gz", hash = "sha256:7bec12768ed44ea4761efb47806f0a41f86e7c0a5fdf5950d4648c90eca7e251"}, ] [package.extras] @@ -2568,22 +2740,26 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2 [[package]] name = "importlib-metadata" -version = "8.4.0" +version = "8.5.0" description = "Read metadata from Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"}, - {file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"}, + {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"}, + {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"}, ] [package.dependencies] -zipp = ">=0.5" +zipp = ">=3.20" [package.extras] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] perf = ["ipython"] -test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"] +test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] +type = ["pytest-mypy"] [[package]] name = "iniconfig" @@ -3373,18 +3549,18 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10" [[package]] name = "langchain-core" -version = "0.3.29" +version = "0.3.31" description = "Building applications with LLMs through composability" optional = true python-versions = "<4.0,>=3.9" files = [ - {file = "langchain_core-0.3.29-py3-none-any.whl", hash = "sha256:817db1474871611a81105594a3e4d11704949661008e455a10e38ca9ff601a1a"}, - {file = "langchain_core-0.3.29.tar.gz", hash = "sha256:773d6aeeb612e7ce3d996c0be403433d8c6a91e77bbb7a7461c13e15cfbe5b06"}, + {file = "langchain_core-0.3.31-py3-none-any.whl", hash = "sha256:882e64ad95887c951dce8e835889e43263b11848c394af3b73e06912624bd743"}, + {file = "langchain_core-0.3.31.tar.gz", hash = "sha256:5ffa56354c07de9efaa4139609659c63e7d9b29da2c825f6bab9392ec98300df"}, ] [package.dependencies] jsonpatch = ">=1.33,<2.0" -langsmith = ">=0.1.125,<0.3" +langsmith = ">=0.1.125,<0.4" packaging = ">=23.2,<25" pydantic = [ {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""}, @@ -3396,17 +3572,17 @@ typing-extensions = ">=4.7" [[package]] name = "langchain-openai" -version = "0.2.14" +version = "0.3.2" description = "An integration package connecting OpenAI and LangChain" optional = true python-versions = "<4.0,>=3.9" files = [ - {file = "langchain_openai-0.2.14-py3-none-any.whl", hash = "sha256:d232496662f79ece9a11caf7d798ba863e559c771bc366814f7688e0fe664fe8"}, - {file = "langchain_openai-0.2.14.tar.gz", hash = "sha256:7a514f309e356b182a337c0ed36ab3fbe34d9834a235a3b85cb7f91ae775d978"}, + {file = "langchain_openai-0.3.2-py3-none-any.whl", hash = "sha256:8674183805e26d3ae3f78cc44f79fe0b2066f61e2de0e7e18be3b86f0d3b2759"}, + {file = "langchain_openai-0.3.2.tar.gz", hash = "sha256:c2c80ac0208eb7cefdef96f6353b00fa217979ffe83f0a21cc8666001df828c1"}, ] [package.dependencies] -langchain-core = ">=0.3.27,<0.4.0" +langchain-core = ">=0.3.31,<0.4.0" openai = ">=1.58.1,<2.0.0" tiktoken = ">=0.7,<1" @@ -3440,13 +3616,13 @@ six = "*" [[package]] name = "langfuse" -version = "2.57.5" +version = "2.57.12" description = "A client library for accessing langfuse" optional = false python-versions = "<4.0,>=3.9" files = [ - {file = "langfuse-2.57.5-py3-none-any.whl", hash = "sha256:5bc53ee33e7e58b4d112abdf971f16bc9e7e8e8ba4690b3c4339d37b83601f80"}, - {file = "langfuse-2.57.5.tar.gz", hash = "sha256:48b4db5d4e86824153ad6f1e10d14c2c7994bcbf67578c2bdd6786bf3896c3e8"}, + {file = "langfuse-2.57.12-py3-none-any.whl", hash = "sha256:11f7b0a002ef08c1de129384c866a389aa7997d6620c5a7282678ea769b93857"}, + {file = "langfuse-2.57.12.tar.gz", hash = "sha256:e74e7c7ef790475d222a9ee6e5163524495a899817db18736df2ab14bc72615f"}, ] [package.dependencies] @@ -3518,13 +3694,13 @@ proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", " [[package]] name = "llama-index-core" -version = "0.12.10.post1" +version = "0.12.14" description = "Interface between LLMs and your data" optional = true python-versions = "<4.0,>=3.9" files = [ - {file = "llama_index_core-0.12.10.post1-py3-none-any.whl", hash = "sha256:897e8cd4efeff6842580b043bdf4008ac60f693df1de2bfd975307a4845707c2"}, - {file = "llama_index_core-0.12.10.post1.tar.gz", hash = "sha256:af27bea4d1494ba84983a649976e60e3de677a73946aa45ed12ce27e3a623ddf"}, + {file = "llama_index_core-0.12.14-py3-none-any.whl", hash = "sha256:6fdb30e3fadf98e7df75f9db5d06f6a7f8503ca545a71e048d786ff88012bd50"}, + {file = "llama_index_core-0.12.14.tar.gz", hash = "sha256:378bbf5bf4d1a8c692d3a980c1a6ed3be7a9afb676a4960429dea15f62d06cd3"}, ] [package.dependencies] @@ -3846,13 +4022,13 @@ files = [ [[package]] name = "marshmallow" -version = "3.24.1" +version = "3.26.0" description = "A lightweight library for converting complex datatypes to and from native Python datatypes." optional = true python-versions = ">=3.9" files = [ - {file = "marshmallow-3.24.1-py3-none-any.whl", hash = "sha256:ddb5c9987017d37be351c184e4e867e7bf55f7331f4da730dedad6b7af662cdd"}, - {file = "marshmallow-3.24.1.tar.gz", hash = "sha256:efdcb656ac8788f0e3d1d938f8dc0f237bf1a99aff8f6dfbffa594981641cea0"}, + {file = "marshmallow-3.26.0-py3-none-any.whl", hash = "sha256:1287bca04e6a5f4094822ac153c03da5e214a0a60bcd557b140f3e66991b8ca1"}, + {file = "marshmallow-3.26.0.tar.gz", hash = "sha256:eb36762a1cc76d7abf831e18a3a1b26d3d481bbc74581b8e532a3d3a8115e1cb"}, ] [package.dependencies] @@ -3860,7 +4036,7 @@ packaging = ">=17.0" [package.extras] dev = ["marshmallow[tests]", "pre-commit (>=3.5,<5.0)", "tox"] -docs = ["alabaster (==1.0.0)", "autodocsumm (==0.2.14)", "sphinx (==8.1.3)", "sphinx-issues (==5.0.0)"] +docs = ["autodocsumm (==0.2.14)", "furo (==2024.8.6)", "sphinx (==8.1.3)", "sphinx-copybutton (==0.5.2)", "sphinx-issues (==5.0.0)", "sphinxext-opengraph (==0.9.1)"] tests = ["pytest", "simplejson"] [[package]] @@ -4029,13 +4205,13 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-imp [[package]] name = "mkdocs-autorefs" -version = "1.2.0" +version = "1.3.0" description = "Automatically link across pages in MkDocs." optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "mkdocs_autorefs-1.2.0-py3-none-any.whl", hash = "sha256:d588754ae89bd0ced0c70c06f58566a4ee43471eeeee5202427da7de9ef85a2f"}, - {file = "mkdocs_autorefs-1.2.0.tar.gz", hash = "sha256:a86b93abff653521bda71cf3fc5596342b7a23982093915cb74273f67522190f"}, + {file = "mkdocs_autorefs-1.3.0-py3-none-any.whl", hash = "sha256:d180f9778a04e78b7134e31418f238bba56f56d6a8af97873946ff661befffb3"}, + {file = "mkdocs_autorefs-1.3.0.tar.gz", hash = "sha256:6867764c099ace9025d6ac24fd07b85a98335fbd30107ef01053697c8f46db61"}, ] [package.dependencies] @@ -4061,13 +4237,13 @@ pyyaml = ">=5.1" [[package]] name = "mkdocs-material" -version = "9.5.49" +version = "9.5.50" description = "Documentation that simply works" optional = false python-versions = ">=3.8" files = [ - {file = "mkdocs_material-9.5.49-py3-none-any.whl", hash = "sha256:c3c2d8176b18198435d3a3e119011922f3e11424074645c24019c2dcf08a360e"}, - {file = "mkdocs_material-9.5.49.tar.gz", hash = "sha256:3671bb282b4f53a1c72e08adbe04d2481a98f85fed392530051f80ff94a9621d"}, + {file = "mkdocs_material-9.5.50-py3-none-any.whl", hash = "sha256:f24100f234741f4d423a9d672a909d859668a4f404796be3cf035f10d6050385"}, + {file = "mkdocs_material-9.5.50.tar.gz", hash = "sha256:ae5fe16f3d7c9ccd05bb6916a7da7420cf99a9ce5e33debd9d40403a090d5825"}, ] [package.dependencies] @@ -4084,7 +4260,7 @@ regex = ">=2022.4" requests = ">=2.26,<3.0" [package.extras] -git = ["mkdocs-git-committers-plugin-2 (>=1.1,<2.0)", "mkdocs-git-revision-date-localized-plugin (>=1.2.4,<2.0)"] +git = ["mkdocs-git-committers-plugin-2 (>=1.1,<3)", "mkdocs-git-revision-date-localized-plugin (>=1.2.4,<2.0)"] imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=10.2,<11.0)"] recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"] @@ -4699,97 +4875,97 @@ et-xmlfile = "*" [[package]] name = "opentelemetry-api" -version = "1.27.0" +version = "1.29.0" description = "OpenTelemetry Python API" optional = true python-versions = ">=3.8" files = [ - {file = "opentelemetry_api-1.27.0-py3-none-any.whl", hash = "sha256:953d5871815e7c30c81b56d910c707588000fff7a3ca1c73e6531911d53065e7"}, - {file = "opentelemetry_api-1.27.0.tar.gz", hash = "sha256:ed673583eaa5f81b5ce5e86ef7cdaf622f88ef65f0b9aab40b843dcae5bef342"}, + {file = "opentelemetry_api-1.29.0-py3-none-any.whl", hash = "sha256:5fcd94c4141cc49c736271f3e1efb777bebe9cc535759c54c936cca4f1b312b8"}, + {file = "opentelemetry_api-1.29.0.tar.gz", hash = "sha256:d04a6cf78aad09614f52964ecb38021e248f5714dc32c2e0d8fd99517b4d69cf"}, ] [package.dependencies] deprecated = ">=1.2.6" -importlib-metadata = ">=6.0,<=8.4.0" +importlib-metadata = ">=6.0,<=8.5.0" [[package]] name = "opentelemetry-exporter-otlp-proto-common" -version = "1.27.0" +version = "1.29.0" description = "OpenTelemetry Protobuf encoding" optional = true python-versions = ">=3.8" files = [ - {file = "opentelemetry_exporter_otlp_proto_common-1.27.0-py3-none-any.whl", hash = "sha256:675db7fffcb60946f3a5c43e17d1168a3307a94a930ecf8d2ea1f286f3d4f79a"}, - {file = "opentelemetry_exporter_otlp_proto_common-1.27.0.tar.gz", hash = "sha256:159d27cf49f359e3798c4c3eb8da6ef4020e292571bd8c5604a2a573231dd5c8"}, + {file = "opentelemetry_exporter_otlp_proto_common-1.29.0-py3-none-any.whl", hash = "sha256:a9d7376c06b4da9cf350677bcddb9618ed4b8255c3f6476975f5e38274ecd3aa"}, + {file = "opentelemetry_exporter_otlp_proto_common-1.29.0.tar.gz", hash = "sha256:e7c39b5dbd1b78fe199e40ddfe477e6983cb61aa74ba836df09c3869a3e3e163"}, ] [package.dependencies] -opentelemetry-proto = "1.27.0" +opentelemetry-proto = "1.29.0" [[package]] name = "opentelemetry-exporter-otlp-proto-grpc" -version = "1.27.0" +version = "1.29.0" description = "OpenTelemetry Collector Protobuf over gRPC Exporter" optional = true python-versions = ">=3.8" files = [ - {file = "opentelemetry_exporter_otlp_proto_grpc-1.27.0-py3-none-any.whl", hash = "sha256:56b5bbd5d61aab05e300d9d62a6b3c134827bbd28d0b12f2649c2da368006c9e"}, - {file = "opentelemetry_exporter_otlp_proto_grpc-1.27.0.tar.gz", hash = "sha256:af6f72f76bcf425dfb5ad11c1a6d6eca2863b91e63575f89bb7b4b55099d968f"}, + {file = "opentelemetry_exporter_otlp_proto_grpc-1.29.0-py3-none-any.whl", hash = "sha256:5a2a3a741a2543ed162676cf3eefc2b4150e6f4f0a193187afb0d0e65039c69c"}, + {file = "opentelemetry_exporter_otlp_proto_grpc-1.29.0.tar.gz", hash = "sha256:3d324d07d64574d72ed178698de3d717f62a059a93b6b7685ee3e303384e73ea"}, ] [package.dependencies] deprecated = ">=1.2.6" googleapis-common-protos = ">=1.52,<2.0" -grpcio = ">=1.0.0,<2.0.0" +grpcio = ">=1.63.2,<2.0.0" opentelemetry-api = ">=1.15,<2.0" -opentelemetry-exporter-otlp-proto-common = "1.27.0" -opentelemetry-proto = "1.27.0" -opentelemetry-sdk = ">=1.27.0,<1.28.0" +opentelemetry-exporter-otlp-proto-common = "1.29.0" +opentelemetry-proto = "1.29.0" +opentelemetry-sdk = ">=1.29.0,<1.30.0" [[package]] name = "opentelemetry-proto" -version = "1.27.0" +version = "1.29.0" description = "OpenTelemetry Python Proto" optional = true python-versions = ">=3.8" files = [ - {file = "opentelemetry_proto-1.27.0-py3-none-any.whl", hash = "sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace"}, - {file = "opentelemetry_proto-1.27.0.tar.gz", hash = "sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6"}, + {file = "opentelemetry_proto-1.29.0-py3-none-any.whl", hash = "sha256:495069c6f5495cbf732501cdcd3b7f60fda2b9d3d4255706ca99b7ca8dec53ff"}, + {file = "opentelemetry_proto-1.29.0.tar.gz", hash = "sha256:3c136aa293782e9b44978c738fff72877a4b78b5d21a64e879898db7b2d93e5d"}, ] [package.dependencies] -protobuf = ">=3.19,<5.0" +protobuf = ">=5.0,<6.0" [[package]] name = "opentelemetry-sdk" -version = "1.27.0" +version = "1.29.0" description = "OpenTelemetry Python SDK" optional = true python-versions = ">=3.8" files = [ - {file = "opentelemetry_sdk-1.27.0-py3-none-any.whl", hash = "sha256:365f5e32f920faf0fd9e14fdfd92c086e317eaa5f860edba9cdc17a380d9197d"}, - {file = "opentelemetry_sdk-1.27.0.tar.gz", hash = "sha256:d525017dea0ccce9ba4e0245100ec46ecdc043f2d7b8315d56b19aff0904fa6f"}, + {file = "opentelemetry_sdk-1.29.0-py3-none-any.whl", hash = "sha256:173be3b5d3f8f7d671f20ea37056710217959e774e2749d984355d1f9391a30a"}, + {file = "opentelemetry_sdk-1.29.0.tar.gz", hash = "sha256:b0787ce6aade6ab84315302e72bd7a7f2f014b0fb1b7c3295b88afe014ed0643"}, ] [package.dependencies] -opentelemetry-api = "1.27.0" -opentelemetry-semantic-conventions = "0.48b0" +opentelemetry-api = "1.29.0" +opentelemetry-semantic-conventions = "0.50b0" typing-extensions = ">=3.7.4" [[package]] name = "opentelemetry-semantic-conventions" -version = "0.48b0" +version = "0.50b0" description = "OpenTelemetry Semantic Conventions" optional = true python-versions = ">=3.8" files = [ - {file = "opentelemetry_semantic_conventions-0.48b0-py3-none-any.whl", hash = "sha256:a0de9f45c413a8669788a38569c7e0a11ce6ce97861a628cca785deecdc32a1f"}, - {file = "opentelemetry_semantic_conventions-0.48b0.tar.gz", hash = "sha256:12d74983783b6878162208be57c9effcb89dc88691c64992d70bb89dc00daa1a"}, + {file = "opentelemetry_semantic_conventions-0.50b0-py3-none-any.whl", hash = "sha256:e87efba8fdb67fb38113efea6a349531e75ed7ffc01562f65b802fcecb5e115e"}, + {file = "opentelemetry_semantic_conventions-0.50b0.tar.gz", hash = "sha256:02dc6dbcb62f082de9b877ff19a3f1ffaa3c306300fa53bfac761c4567c83d38"}, ] [package.dependencies] deprecated = ">=1.2.6" -opentelemetry-api = "1.27.0" +opentelemetry-api = "1.29.0" [[package]] name = "orderly-set" @@ -4804,86 +4980,90 @@ files = [ [[package]] name = "orjson" -version = "3.10.13" +version = "3.10.15" description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" optional = false python-versions = ">=3.8" files = [ - {file = "orjson-3.10.13-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:1232c5e873a4d1638ef957c5564b4b0d6f2a6ab9e207a9b3de9de05a09d1d920"}, - {file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d26a0eca3035619fa366cbaf49af704c7cb1d4a0e6c79eced9f6a3f2437964b6"}, - {file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d4b6acd7c9c829895e50d385a357d4b8c3fafc19c5989da2bae11783b0fd4977"}, - {file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1884e53c6818686891cc6fc5a3a2540f2f35e8c76eac8dc3b40480fb59660b00"}, - {file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6a428afb5720f12892f64920acd2eeb4d996595bf168a26dd9190115dbf1130d"}, - {file = "orjson-3.10.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba5b13b8739ce5b630c65cb1c85aedbd257bcc2b9c256b06ab2605209af75a2e"}, - {file = "orjson-3.10.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cab83e67f6aabda1b45882254b2598b48b80ecc112968fc6483fa6dae609e9f0"}, - {file = "orjson-3.10.13-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:62c3cc00c7e776c71c6b7b9c48c5d2701d4c04e7d1d7cdee3572998ee6dc57cc"}, - {file = "orjson-3.10.13-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:dc03db4922e75bbc870b03fc49734cefbd50fe975e0878327d200022210b82d8"}, - {file = "orjson-3.10.13-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:22f1c9a30b43d14a041a6ea190d9eca8a6b80c4beb0e8b67602c82d30d6eec3e"}, - {file = "orjson-3.10.13-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:b42f56821c29e697c68d7d421410d7c1d8f064ae288b525af6a50cf99a4b1200"}, - {file = "orjson-3.10.13-cp310-cp310-win32.whl", hash = "sha256:0dbf3b97e52e093d7c3e93eb5eb5b31dc7535b33c2ad56872c83f0160f943487"}, - {file = "orjson-3.10.13-cp310-cp310-win_amd64.whl", hash = "sha256:46c249b4e934453be4ff2e518cd1adcd90467da7391c7a79eaf2fbb79c51e8c7"}, - {file = "orjson-3.10.13-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a36c0d48d2f084c800763473020a12976996f1109e2fcb66cfea442fdf88047f"}, - {file = "orjson-3.10.13-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0065896f85d9497990731dfd4a9991a45b0a524baec42ef0a63c34630ee26fd6"}, - {file = "orjson-3.10.13-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:92b4ec30d6025a9dcdfe0df77063cbce238c08d0404471ed7a79f309364a3d19"}, - {file = "orjson-3.10.13-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a94542d12271c30044dadad1125ee060e7a2048b6c7034e432e116077e1d13d2"}, - {file = "orjson-3.10.13-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3723e137772639af8adb68230f2aa4bcb27c48b3335b1b1e2d49328fed5e244c"}, - {file = "orjson-3.10.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f00c7fb18843bad2ac42dc1ce6dd214a083c53f1e324a0fd1c8137c6436269b"}, - {file = "orjson-3.10.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0e2759d3172300b2f892dee85500b22fca5ac49e0c42cfff101aaf9c12ac9617"}, - {file = "orjson-3.10.13-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ee948c6c01f6b337589c88f8e0bb11e78d32a15848b8b53d3f3b6fea48842c12"}, - {file = "orjson-3.10.13-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:aa6fe68f0981fba0d4bf9cdc666d297a7cdba0f1b380dcd075a9a3dd5649a69e"}, - {file = "orjson-3.10.13-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:dbcd7aad6bcff258f6896abfbc177d54d9b18149c4c561114f47ebfe74ae6bfd"}, - {file = "orjson-3.10.13-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:2149e2fcd084c3fd584881c7f9d7f9e5ad1e2e006609d8b80649655e0d52cd02"}, - {file = "orjson-3.10.13-cp311-cp311-win32.whl", hash = "sha256:89367767ed27b33c25c026696507c76e3d01958406f51d3a2239fe9e91959df2"}, - {file = "orjson-3.10.13-cp311-cp311-win_amd64.whl", hash = "sha256:dca1d20f1af0daff511f6e26a27354a424f0b5cf00e04280279316df0f604a6f"}, - {file = "orjson-3.10.13-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:a3614b00621c77f3f6487792238f9ed1dd8a42f2ec0e6540ee34c2d4e6db813a"}, - {file = "orjson-3.10.13-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c976bad3996aa027cd3aef78aa57873f3c959b6c38719de9724b71bdc7bd14b"}, - {file = "orjson-3.10.13-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f74d878d1efb97a930b8a9f9898890067707d683eb5c7e20730030ecb3fb930"}, - {file = "orjson-3.10.13-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:33ef84f7e9513fb13b3999c2a64b9ca9c8143f3da9722fbf9c9ce51ce0d8076e"}, - {file = "orjson-3.10.13-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd2bcde107221bb9c2fa0c4aaba735a537225104173d7e19cf73f70b3126c993"}, - {file = "orjson-3.10.13-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:064b9dbb0217fd64a8d016a8929f2fae6f3312d55ab3036b00b1d17399ab2f3e"}, - {file = "orjson-3.10.13-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c0044b0b8c85a565e7c3ce0a72acc5d35cda60793edf871ed94711e712cb637d"}, - {file = "orjson-3.10.13-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:7184f608ad563032e398f311910bc536e62b9fbdca2041be889afcbc39500de8"}, - {file = "orjson-3.10.13-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:d36f689e7e1b9b6fb39dbdebc16a6f07cbe994d3644fb1c22953020fc575935f"}, - {file = "orjson-3.10.13-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:54433e421618cd5873e51c0e9d0b9fb35f7bf76eb31c8eab20b3595bb713cd3d"}, - {file = "orjson-3.10.13-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e1ba0c5857dd743438acecc1cd0e1adf83f0a81fee558e32b2b36f89e40cee8b"}, - {file = "orjson-3.10.13-cp312-cp312-win32.whl", hash = "sha256:a42b9fe4b0114b51eb5cdf9887d8c94447bc59df6dbb9c5884434eab947888d8"}, - {file = "orjson-3.10.13-cp312-cp312-win_amd64.whl", hash = "sha256:3a7df63076435f39ec024bdfeb4c9767ebe7b49abc4949068d61cf4857fa6d6c"}, - {file = "orjson-3.10.13-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:2cdaf8b028a976ebab837a2c27b82810f7fc76ed9fb243755ba650cc83d07730"}, - {file = "orjson-3.10.13-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48a946796e390cbb803e069472de37f192b7a80f4ac82e16d6eb9909d9e39d56"}, - {file = "orjson-3.10.13-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a7d64f1db5ecbc21eb83097e5236d6ab7e86092c1cd4c216c02533332951afc"}, - {file = "orjson-3.10.13-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:711878da48f89df194edd2ba603ad42e7afed74abcd2bac164685e7ec15f96de"}, - {file = "orjson-3.10.13-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:cf16f06cb77ce8baf844bc222dbcb03838f61d0abda2c3341400c2b7604e436e"}, - {file = "orjson-3.10.13-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:8257c3fb8dd7b0b446b5e87bf85a28e4071ac50f8c04b6ce2d38cb4abd7dff57"}, - {file = "orjson-3.10.13-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d9c3a87abe6f849a4a7ac8a8a1dede6320a4303d5304006b90da7a3cd2b70d2c"}, - {file = "orjson-3.10.13-cp313-cp313-win32.whl", hash = "sha256:527afb6ddb0fa3fe02f5d9fba4920d9d95da58917826a9be93e0242da8abe94a"}, - {file = "orjson-3.10.13-cp313-cp313-win_amd64.whl", hash = "sha256:b5f7c298d4b935b222f52d6c7f2ba5eafb59d690d9a3840b7b5c5cda97f6ec5c"}, - {file = "orjson-3.10.13-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:e49333d1038bc03a25fdfe11c86360df9b890354bfe04215f1f54d030f33c342"}, - {file = "orjson-3.10.13-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:003721c72930dbb973f25c5d8e68d0f023d6ed138b14830cc94e57c6805a2eab"}, - {file = "orjson-3.10.13-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:63664bf12addb318dc8f032160e0f5dc17eb8471c93601e8f5e0d07f95003784"}, - {file = "orjson-3.10.13-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6066729cf9552d70de297b56556d14b4f49c8f638803ee3c90fd212fa43cc6af"}, - {file = "orjson-3.10.13-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8a1152e2761025c5d13b5e1908d4b1c57f3797ba662e485ae6f26e4e0c466388"}, - {file = "orjson-3.10.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69b21d91c5c5ef8a201036d207b1adf3aa596b930b6ca3c71484dd11386cf6c3"}, - {file = "orjson-3.10.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b12a63f48bb53dba8453d36ca2661f2330126d54e26c1661e550b32864b28ce3"}, - {file = "orjson-3.10.13-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:a5a7624ab4d121c7e035708c8dd1f99c15ff155b69a1c0affc4d9d8b551281ba"}, - {file = "orjson-3.10.13-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:0fee076134398d4e6cb827002468679ad402b22269510cf228301b787fdff5ae"}, - {file = "orjson-3.10.13-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ae537fcf330b3947e82c6ae4271e092e6cf16b9bc2cef68b14ffd0df1fa8832a"}, - {file = "orjson-3.10.13-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:f81b26c03f5fb5f0d0ee48d83cea4d7bc5e67e420d209cc1a990f5d1c62f9be0"}, - {file = "orjson-3.10.13-cp38-cp38-win32.whl", hash = "sha256:0bc858086088b39dc622bc8219e73d3f246fb2bce70a6104abd04b3a080a66a8"}, - {file = "orjson-3.10.13-cp38-cp38-win_amd64.whl", hash = "sha256:3ca6f17467ebbd763f8862f1d89384a5051b461bb0e41074f583a0ebd7120e8e"}, - {file = "orjson-3.10.13-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4a11532cbfc2f5752c37e84863ef8435b68b0e6d459b329933294f65fa4bda1a"}, - {file = "orjson-3.10.13-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c96d2fb80467d1d0dfc4d037b4e1c0f84f1fe6229aa7fea3f070083acef7f3d7"}, - {file = "orjson-3.10.13-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:dda4ba4d3e6f6c53b6b9c35266788053b61656a716a7fef5c884629c2a52e7aa"}, - {file = "orjson-3.10.13-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e4f998bbf300690be881772ee9c5281eb9c0044e295bcd4722504f5b5c6092ff"}, - {file = "orjson-3.10.13-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dce1cc42ed75b585c0c4dc5eb53a90a34ccb493c09a10750d1a1f9b9eff2bd12"}, - {file = "orjson-3.10.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:03b0f29d485411e3c13d79604b740b14e4e5fb58811743f6f4f9693ee6480a8f"}, - {file = "orjson-3.10.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:233aae4474078d82f425134bb6a10fb2b3fc5a1a1b3420c6463ddd1b6a97eda8"}, - {file = "orjson-3.10.13-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:e384e330a67cf52b3597ee2646de63407da6f8fc9e9beec3eaaaef5514c7a1c9"}, - {file = "orjson-3.10.13-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:4222881d0aab76224d7b003a8e5fdae4082e32c86768e0e8652de8afd6c4e2c1"}, - {file = "orjson-3.10.13-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:e400436950ba42110a20c50c80dff4946c8e3ec09abc1c9cf5473467e83fd1c5"}, - {file = "orjson-3.10.13-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:f47c9e7d224b86ffb086059cdcf634f4b3f32480f9838864aa09022fe2617ce2"}, - {file = "orjson-3.10.13-cp39-cp39-win32.whl", hash = "sha256:a9ecea472f3eb653e1c0a3d68085f031f18fc501ea392b98dcca3e87c24f9ebe"}, - {file = "orjson-3.10.13-cp39-cp39-win_amd64.whl", hash = "sha256:5385935a73adce85cc7faac9d396683fd813566d3857fa95a0b521ef84a5b588"}, - {file = "orjson-3.10.13.tar.gz", hash = "sha256:eb9bfb14ab8f68d9d9492d4817ae497788a15fd7da72e14dfabc289c3bb088ec"}, + {file = "orjson-3.10.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:552c883d03ad185f720d0c09583ebde257e41b9521b74ff40e08b7dec4559c04"}, + {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e3e8d438d02e4854f70bfdc03a6bcdb697358dbaa6bcd19cbe24d24ece1f8"}, + {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7c2c79fa308e6edb0ffab0a31fd75a7841bf2a79a20ef08a3c6e3b26814c8ca8"}, + {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:73cb85490aa6bf98abd20607ab5c8324c0acb48d6da7863a51be48505646c814"}, + {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:763dadac05e4e9d2bc14938a45a2d0560549561287d41c465d3c58aec818b164"}, + {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a330b9b4734f09a623f74a7490db713695e13b67c959713b78369f26b3dee6bf"}, + {file = "orjson-3.10.15-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a61a4622b7ff861f019974f73d8165be1bd9a0855e1cad18ee167acacabeb061"}, + {file = "orjson-3.10.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:acd271247691574416b3228db667b84775c497b245fa275c6ab90dc1ffbbd2b3"}, + {file = "orjson-3.10.15-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:e4759b109c37f635aa5c5cc93a1b26927bfde24b254bcc0e1149a9fada253d2d"}, + {file = "orjson-3.10.15-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9e992fd5cfb8b9f00bfad2fd7a05a4299db2bbe92e6440d9dd2fab27655b3182"}, + {file = "orjson-3.10.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:f95fb363d79366af56c3f26b71df40b9a583b07bbaaf5b317407c4d58497852e"}, + {file = "orjson-3.10.15-cp310-cp310-win32.whl", hash = "sha256:f9875f5fea7492da8ec2444839dcc439b0ef298978f311103d0b7dfd775898ab"}, + {file = "orjson-3.10.15-cp310-cp310-win_amd64.whl", hash = "sha256:17085a6aa91e1cd70ca8533989a18b5433e15d29c574582f76f821737c8d5806"}, + {file = "orjson-3.10.15-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c4cc83960ab79a4031f3119cc4b1a1c627a3dc09df125b27c4201dff2af7eaa6"}, + {file = "orjson-3.10.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ddbeef2481d895ab8be5185f2432c334d6dec1f5d1933a9c83014d188e102cef"}, + {file = "orjson-3.10.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9e590a0477b23ecd5b0ac865b1b907b01b3c5535f5e8a8f6ab0e503efb896334"}, + {file = "orjson-3.10.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a6be38bd103d2fd9bdfa31c2720b23b5d47c6796bcb1d1b598e3924441b4298d"}, + {file = "orjson-3.10.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ff4f6edb1578960ed628a3b998fa54d78d9bb3e2eb2cfc5c2a09732431c678d0"}, + {file = "orjson-3.10.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0482b21d0462eddd67e7fce10b89e0b6ac56570424662b685a0d6fccf581e13"}, + {file = "orjson-3.10.15-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bb5cc3527036ae3d98b65e37b7986a918955f85332c1ee07f9d3f82f3a6899b5"}, + {file = "orjson-3.10.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:d569c1c462912acdd119ccbf719cf7102ea2c67dd03b99edcb1a3048651ac96b"}, + {file = "orjson-3.10.15-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:1e6d33efab6b71d67f22bf2962895d3dc6f82a6273a965fab762e64fa90dc399"}, + {file = "orjson-3.10.15-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:c33be3795e299f565681d69852ac8c1bc5c84863c0b0030b2b3468843be90388"}, + {file = "orjson-3.10.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:eea80037b9fae5339b214f59308ef0589fc06dc870578b7cce6d71eb2096764c"}, + {file = "orjson-3.10.15-cp311-cp311-win32.whl", hash = "sha256:d5ac11b659fd798228a7adba3e37c010e0152b78b1982897020a8e019a94882e"}, + {file = "orjson-3.10.15-cp311-cp311-win_amd64.whl", hash = "sha256:cf45e0214c593660339ef63e875f32ddd5aa3b4adc15e662cdb80dc49e194f8e"}, + {file = "orjson-3.10.15-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9d11c0714fc85bfcf36ada1179400862da3288fc785c30e8297844c867d7505a"}, + {file = "orjson-3.10.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dba5a1e85d554e3897fa9fe6fbcff2ed32d55008973ec9a2b992bd9a65d2352d"}, + {file = "orjson-3.10.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7723ad949a0ea502df656948ddd8b392780a5beaa4c3b5f97e525191b102fff0"}, + {file = "orjson-3.10.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6fd9bc64421e9fe9bd88039e7ce8e58d4fead67ca88e3a4014b143cec7684fd4"}, + {file = "orjson-3.10.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dadba0e7b6594216c214ef7894c4bd5f08d7c0135f4dd0145600be4fbcc16767"}, + {file = "orjson-3.10.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48f59114fe318f33bbaee8ebeda696d8ccc94c9e90bc27dbe72153094e26f41"}, + {file = "orjson-3.10.15-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:035fb83585e0f15e076759b6fedaf0abb460d1765b6a36f48018a52858443514"}, + {file = "orjson-3.10.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:d13b7fe322d75bf84464b075eafd8e7dd9eae05649aa2a5354cfa32f43c59f17"}, + {file = "orjson-3.10.15-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:7066b74f9f259849629e0d04db6609db4cf5b973248f455ba5d3bd58a4daaa5b"}, + {file = "orjson-3.10.15-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:88dc3f65a026bd3175eb157fea994fca6ac7c4c8579fc5a86fc2114ad05705b7"}, + {file = "orjson-3.10.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b342567e5465bd99faa559507fe45e33fc76b9fb868a63f1642c6bc0735ad02a"}, + {file = "orjson-3.10.15-cp312-cp312-win32.whl", hash = "sha256:0a4f27ea5617828e6b58922fdbec67b0aa4bb844e2d363b9244c47fa2180e665"}, + {file = "orjson-3.10.15-cp312-cp312-win_amd64.whl", hash = "sha256:ef5b87e7aa9545ddadd2309efe6824bd3dd64ac101c15dae0f2f597911d46eaa"}, + {file = "orjson-3.10.15-cp313-cp313-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:bae0e6ec2b7ba6895198cd981b7cca95d1487d0147c8ed751e5632ad16f031a6"}, + {file = "orjson-3.10.15-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f93ce145b2db1252dd86af37d4165b6faa83072b46e3995ecc95d4b2301b725a"}, + {file = "orjson-3.10.15-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:7c203f6f969210128af3acae0ef9ea6aab9782939f45f6fe02d05958fe761ef9"}, + {file = "orjson-3.10.15-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8918719572d662e18b8af66aef699d8c21072e54b6c82a3f8f6404c1f5ccd5e0"}, + {file = "orjson-3.10.15-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f71eae9651465dff70aa80db92586ad5b92df46a9373ee55252109bb6b703307"}, + {file = "orjson-3.10.15-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e117eb299a35f2634e25ed120c37c641398826c2f5a3d3cc39f5993b96171b9e"}, + {file = "orjson-3.10.15-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:13242f12d295e83c2955756a574ddd6741c81e5b99f2bef8ed8d53e47a01e4b7"}, + {file = "orjson-3.10.15-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:7946922ada8f3e0b7b958cc3eb22cfcf6c0df83d1fe5521b4a100103e3fa84c8"}, + {file = "orjson-3.10.15-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:b7155eb1623347f0f22c38c9abdd738b287e39b9982e1da227503387b81b34ca"}, + {file = "orjson-3.10.15-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:208beedfa807c922da4e81061dafa9c8489c6328934ca2a562efa707e049e561"}, + {file = "orjson-3.10.15-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:eca81f83b1b8c07449e1d6ff7074e82e3fd6777e588f1a6632127f286a968825"}, + {file = "orjson-3.10.15-cp313-cp313-win32.whl", hash = "sha256:c03cd6eea1bd3b949d0d007c8d57049aa2b39bd49f58b4b2af571a5d3833d890"}, + {file = "orjson-3.10.15-cp313-cp313-win_amd64.whl", hash = "sha256:fd56a26a04f6ba5fb2045b0acc487a63162a958ed837648c5781e1fe3316cfbf"}, + {file = "orjson-3.10.15-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:5e8afd6200e12771467a1a44e5ad780614b86abb4b11862ec54861a82d677746"}, + {file = "orjson-3.10.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da9a18c500f19273e9e104cca8c1f0b40a6470bcccfc33afcc088045d0bf5ea6"}, + {file = "orjson-3.10.15-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb00b7bfbdf5d34a13180e4805d76b4567025da19a197645ca746fc2fb536586"}, + {file = "orjson-3.10.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:33aedc3d903378e257047fee506f11e0833146ca3e57a1a1fb0ddb789876c1e1"}, + {file = "orjson-3.10.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd0099ae6aed5eb1fc84c9eb72b95505a3df4267e6962eb93cdd5af03be71c98"}, + {file = "orjson-3.10.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c864a80a2d467d7786274fce0e4f93ef2a7ca4ff31f7fc5634225aaa4e9e98c"}, + {file = "orjson-3.10.15-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c25774c9e88a3e0013d7d1a6c8056926b607a61edd423b50eb5c88fd7f2823ae"}, + {file = "orjson-3.10.15-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:e78c211d0074e783d824ce7bb85bf459f93a233eb67a5b5003498232ddfb0e8a"}, + {file = "orjson-3.10.15-cp38-cp38-musllinux_1_2_armv7l.whl", hash = "sha256:43e17289ffdbbac8f39243916c893d2ae41a2ea1a9cbb060a56a4d75286351ae"}, + {file = "orjson-3.10.15-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:781d54657063f361e89714293c095f506c533582ee40a426cb6489c48a637b81"}, + {file = "orjson-3.10.15-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:6875210307d36c94873f553786a808af2788e362bd0cf4c8e66d976791e7b528"}, + {file = "orjson-3.10.15-cp38-cp38-win32.whl", hash = "sha256:305b38b2b8f8083cc3d618927d7f424349afce5975b316d33075ef0f73576b60"}, + {file = "orjson-3.10.15-cp38-cp38-win_amd64.whl", hash = "sha256:5dd9ef1639878cc3efffed349543cbf9372bdbd79f478615a1c633fe4e4180d1"}, + {file = "orjson-3.10.15-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:ffe19f3e8d68111e8644d4f4e267a069ca427926855582ff01fc012496d19969"}, + {file = "orjson-3.10.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d433bf32a363823863a96561a555227c18a522a8217a6f9400f00ddc70139ae2"}, + {file = "orjson-3.10.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:da03392674f59a95d03fa5fb9fe3a160b0511ad84b7a3914699ea5a1b3a38da2"}, + {file = "orjson-3.10.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3a63bb41559b05360ded9132032239e47983a39b151af1201f07ec9370715c82"}, + {file = "orjson-3.10.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3766ac4702f8f795ff3fa067968e806b4344af257011858cc3d6d8721588b53f"}, + {file = "orjson-3.10.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a1c73dcc8fadbd7c55802d9aa093b36878d34a3b3222c41052ce6b0fc65f8e8"}, + {file = "orjson-3.10.15-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b299383825eafe642cbab34be762ccff9fd3408d72726a6b2a4506d410a71ab3"}, + {file = "orjson-3.10.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:abc7abecdbf67a173ef1316036ebbf54ce400ef2300b4e26a7b843bd446c2480"}, + {file = "orjson-3.10.15-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:3614ea508d522a621384c1d6639016a5a2e4f027f3e4a1c93a51867615d28829"}, + {file = "orjson-3.10.15-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:295c70f9dc154307777ba30fe29ff15c1bcc9dfc5c48632f37d20a607e9ba85a"}, + {file = "orjson-3.10.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:63309e3ff924c62404923c80b9e2048c1f74ba4b615e7584584389ada50ed428"}, + {file = "orjson-3.10.15-cp39-cp39-win32.whl", hash = "sha256:a2f708c62d026fb5340788ba94a55c23df4e1869fec74be455e0b2f5363b8507"}, + {file = "orjson-3.10.15-cp39-cp39-win_amd64.whl", hash = "sha256:efcf6c735c3d22ef60c4aa27a5238f1a477df85e9b15f2142f9d669beb2d13fd"}, + {file = "orjson-3.10.15.tar.gz", hash = "sha256:05ca7fe452a2e9d8d9d706a2984c95b9c2ebc5db417ce0b7a49b91d50642a23e"}, ] [[package]] @@ -5351,13 +5531,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p [[package]] name = "posthog" -version = "3.7.5" +version = "3.10.0" description = "Integrate PostHog into any python application." optional = true python-versions = "*" files = [ - {file = "posthog-3.7.5-py2.py3-none-any.whl", hash = "sha256:022132c17069dde03c5c5904e2ae1b9bd68d5059cbc5a8dffc5c1537a1b71cb5"}, - {file = "posthog-3.7.5.tar.gz", hash = "sha256:8ba40ab623da35db72715fc87fe7dccb7fc272ced92581fe31db2d4dbe7ad761"}, + {file = "posthog-3.10.0-py2.py3-none-any.whl", hash = "sha256:8481949321ba84059bfc8778d358ffec008c64efe834ac7c8eae80243fafa090"}, + {file = "posthog-3.10.0.tar.gz", hash = "sha256:c07113c0558fde279d0462010e4ad87b6a2a76cb970cae0122d5a31d629fc27b"}, ] [package.dependencies] @@ -5369,18 +5549,19 @@ six = ">=1.5" [package.extras] dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"] +langchain = ["langchain (>=0.2.0)"] sentry = ["django", "sentry-sdk"] -test = ["coverage", "django", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"] +test = ["anthropic", "coverage", "django", "flake8", "freezegun (==0.3.15)", "langchain-anthropic (>=0.2.0)", "langchain-community (>=0.2.0)", "langchain-openai (>=0.2.0)", "langgraph", "mock (>=2.0.0)", "openai", "pylint", "pytest", "pytest-asyncio", "pytest-timeout"] [[package]] name = "pre-commit" -version = "4.0.1" +version = "4.1.0" description = "A framework for managing and maintaining multi-language pre-commit hooks." optional = false python-versions = ">=3.9" files = [ - {file = "pre_commit-4.0.1-py2.py3-none-any.whl", hash = "sha256:efde913840816312445dc98787724647c65473daefe420785f885e8ed9a06878"}, - {file = "pre_commit-4.0.1.tar.gz", hash = "sha256:80905ac375958c0444c65e9cebebd948b3cdb518f335a091a670a89d652139d2"}, + {file = "pre_commit-4.1.0-py2.py3-none-any.whl", hash = "sha256:d29e7cb346295bcc1cc75fc3e92e343495e3ea0196c9ec6ba53f49f10ab6ae7b"}, + {file = "pre_commit-4.1.0.tar.gz", hash = "sha256:ae3f018575a588e30dfddfab9a05448bfbd6b73d78709617b5a2b853549716d4"}, ] [package.dependencies] @@ -5406,13 +5587,13 @@ twisted = ["twisted"] [[package]] name = "prompt-toolkit" -version = "3.0.48" +version = "3.0.50" description = "Library for building powerful interactive command lines in Python" optional = true -python-versions = ">=3.7.0" +python-versions = ">=3.8.0" files = [ - {file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"}, - {file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"}, + {file = "prompt_toolkit-3.0.50-py3-none-any.whl", hash = "sha256:9b6427eb19e479d98acff65196a307c555eb567989e6d88ebbb1b509d9779198"}, + {file = "prompt_toolkit-3.0.50.tar.gz", hash = "sha256:544748f3860a2623ca5cd6d2795e7a14f3d0e1c3c9728359013f79877fc89bab"}, ] [package.dependencies] @@ -5509,24 +5690,41 @@ files = [ {file = "propcache-0.2.1.tar.gz", hash = "sha256:3f77ce728b19cb537714499928fe800c3dda29e8d9428778fc7c186da4c09a64"}, ] +[[package]] +name = "proto-plus" +version = "1.25.0" +description = "Beautiful, Pythonic protocol buffers." +optional = true +python-versions = ">=3.7" +files = [ + {file = "proto_plus-1.25.0-py3-none-any.whl", hash = "sha256:c91fc4a65074ade8e458e95ef8bac34d4008daa7cce4a12d6707066fca648961"}, + {file = "proto_plus-1.25.0.tar.gz", hash = "sha256:fbb17f57f7bd05a68b7707e745e26528b0b3c34e378db91eef93912c54982d91"}, +] + +[package.dependencies] +protobuf = ">=3.19.0,<6.0.0dev" + +[package.extras] +testing = ["google-api-core (>=1.31.5)"] + [[package]] name = "protobuf" -version = "4.25.5" +version = "5.29.3" description = "" optional = true python-versions = ">=3.8" files = [ - {file = "protobuf-4.25.5-cp310-abi3-win32.whl", hash = "sha256:5e61fd921603f58d2f5acb2806a929b4675f8874ff5f330b7d6f7e2e784bbcd8"}, - {file = "protobuf-4.25.5-cp310-abi3-win_amd64.whl", hash = "sha256:4be0571adcbe712b282a330c6e89eae24281344429ae95c6d85e79e84780f5ea"}, - {file = "protobuf-4.25.5-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:b2fde3d805354df675ea4c7c6338c1aecd254dfc9925e88c6d31a2bcb97eb173"}, - {file = "protobuf-4.25.5-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:919ad92d9b0310070f8356c24b855c98df2b8bd207ebc1c0c6fcc9ab1e007f3d"}, - {file = "protobuf-4.25.5-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:fe14e16c22be926d3abfcb500e60cab068baf10b542b8c858fa27e098123e331"}, - {file = "protobuf-4.25.5-cp38-cp38-win32.whl", hash = "sha256:98d8d8aa50de6a2747efd9cceba361c9034050ecce3e09136f90de37ddba66e1"}, - {file = "protobuf-4.25.5-cp38-cp38-win_amd64.whl", hash = "sha256:b0234dd5a03049e4ddd94b93400b67803c823cfc405689688f59b34e0742381a"}, - {file = "protobuf-4.25.5-cp39-cp39-win32.whl", hash = "sha256:abe32aad8561aa7cc94fc7ba4fdef646e576983edb94a73381b03c53728a626f"}, - {file = "protobuf-4.25.5-cp39-cp39-win_amd64.whl", hash = "sha256:7a183f592dc80aa7c8da7ad9e55091c4ffc9497b3054452d629bb85fa27c2a45"}, - {file = "protobuf-4.25.5-py3-none-any.whl", hash = "sha256:0aebecb809cae990f8129ada5ca273d9d670b76d9bfc9b1809f0a9c02b7dbf41"}, - {file = "protobuf-4.25.5.tar.gz", hash = "sha256:7f8249476b4a9473645db7f8ab42b02fe1488cbe5fb72fddd445e0665afd8584"}, + {file = "protobuf-5.29.3-cp310-abi3-win32.whl", hash = "sha256:3ea51771449e1035f26069c4c7fd51fba990d07bc55ba80701c78f886bf9c888"}, + {file = "protobuf-5.29.3-cp310-abi3-win_amd64.whl", hash = "sha256:a4fa6f80816a9a0678429e84973f2f98cbc218cca434abe8db2ad0bffc98503a"}, + {file = "protobuf-5.29.3-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:a8434404bbf139aa9e1300dbf989667a83d42ddda9153d8ab76e0d5dcaca484e"}, + {file = "protobuf-5.29.3-cp38-abi3-manylinux2014_aarch64.whl", hash = "sha256:daaf63f70f25e8689c072cfad4334ca0ac1d1e05a92fc15c54eb9cf23c3efd84"}, + {file = "protobuf-5.29.3-cp38-abi3-manylinux2014_x86_64.whl", hash = "sha256:c027e08a08be10b67c06bf2370b99c811c466398c357e615ca88c91c07f0910f"}, + {file = "protobuf-5.29.3-cp38-cp38-win32.whl", hash = "sha256:84a57163a0ccef3f96e4b6a20516cedcf5bb3a95a657131c5c3ac62200d23252"}, + {file = "protobuf-5.29.3-cp38-cp38-win_amd64.whl", hash = "sha256:b89c115d877892a512f79a8114564fb435943b59067615894c3b13cd3e1fa107"}, + {file = "protobuf-5.29.3-cp39-cp39-win32.whl", hash = "sha256:0eb32bfa5219fc8d4111803e9a690658aa2e6366384fd0851064b963b6d1f2a7"}, + {file = "protobuf-5.29.3-cp39-cp39-win_amd64.whl", hash = "sha256:6ce8cc3389a20693bfde6c6562e03474c40851b44975c9b2bf6df7d8c4f864da"}, + {file = "protobuf-5.29.3-py3-none-any.whl", hash = "sha256:0a18ed4a24198528f2333802eb075e59dea9d679ab7a6c5efb017a59004d849f"}, + {file = "protobuf-5.29.3.tar.gz", hash = "sha256:5da0f41edaf117bde316404bad1a486cb4ededf8e4a54891296f648e8e076620"}, ] [[package]] @@ -5623,58 +5821,83 @@ bcrypt = ["bcrypt (>=4.1.2,<5)"] [[package]] name = "pyarrow" -version = "18.1.0" +version = "19.0.0" description = "Python library for Apache Arrow" optional = false python-versions = ">=3.9" files = [ - {file = "pyarrow-18.1.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e21488d5cfd3d8b500b3238a6c4b075efabc18f0f6d80b29239737ebd69caa6c"}, - {file = "pyarrow-18.1.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:b516dad76f258a702f7ca0250885fc93d1fa5ac13ad51258e39d402bd9e2e1e4"}, - {file = "pyarrow-18.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f443122c8e31f4c9199cb23dca29ab9427cef990f283f80fe15b8e124bcc49b"}, - {file = "pyarrow-18.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a03da7f2758645d17b7b4f83c8bffeae5bbb7f974523fe901f36288d2eab71"}, - {file = "pyarrow-18.1.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:ba17845efe3aa358ec266cf9cc2800fa73038211fb27968bfa88acd09261a470"}, - {file = "pyarrow-18.1.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:3c35813c11a059056a22a3bef520461310f2f7eea5c8a11ef9de7062a23f8d56"}, - {file = "pyarrow-18.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:9736ba3c85129d72aefa21b4f3bd715bc4190fe4426715abfff90481e7d00812"}, - {file = "pyarrow-18.1.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:eaeabf638408de2772ce3d7793b2668d4bb93807deed1725413b70e3156a7854"}, - {file = "pyarrow-18.1.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:3b2e2239339c538f3464308fd345113f886ad031ef8266c6f004d49769bb074c"}, - {file = "pyarrow-18.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f39a2e0ed32a0970e4e46c262753417a60c43a3246972cfc2d3eb85aedd01b21"}, - {file = "pyarrow-18.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e31e9417ba9c42627574bdbfeada7217ad8a4cbbe45b9d6bdd4b62abbca4c6f6"}, - {file = "pyarrow-18.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:01c034b576ce0eef554f7c3d8c341714954be9b3f5d5bc7117006b85fcf302fe"}, - {file = "pyarrow-18.1.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:f266a2c0fc31995a06ebd30bcfdb7f615d7278035ec5b1cd71c48d56daaf30b0"}, - {file = "pyarrow-18.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:d4f13eee18433f99adefaeb7e01d83b59f73360c231d4782d9ddfaf1c3fbde0a"}, - {file = "pyarrow-18.1.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:9f3a76670b263dc41d0ae877f09124ab96ce10e4e48f3e3e4257273cee61ad0d"}, - {file = "pyarrow-18.1.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:da31fbca07c435be88a0c321402c4e31a2ba61593ec7473630769de8346b54ee"}, - {file = "pyarrow-18.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:543ad8459bc438efc46d29a759e1079436290bd583141384c6f7a1068ed6f992"}, - {file = "pyarrow-18.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0743e503c55be0fdb5c08e7d44853da27f19dc854531c0570f9f394ec9671d54"}, - {file = "pyarrow-18.1.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:d4b3d2a34780645bed6414e22dda55a92e0fcd1b8a637fba86800ad737057e33"}, - {file = "pyarrow-18.1.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:c52f81aa6f6575058d8e2c782bf79d4f9fdc89887f16825ec3a66607a5dd8e30"}, - {file = "pyarrow-18.1.0-cp312-cp312-win_amd64.whl", hash = "sha256:0ad4892617e1a6c7a551cfc827e072a633eaff758fa09f21c4ee548c30bcaf99"}, - {file = "pyarrow-18.1.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:84e314d22231357d473eabec709d0ba285fa706a72377f9cc8e1cb3c8013813b"}, - {file = "pyarrow-18.1.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:f591704ac05dfd0477bb8f8e0bd4b5dc52c1cadf50503858dce3a15db6e46ff2"}, - {file = "pyarrow-18.1.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:acb7564204d3c40babf93a05624fc6a8ec1ab1def295c363afc40b0c9e66c191"}, - {file = "pyarrow-18.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:74de649d1d2ccb778f7c3afff6085bd5092aed4c23df9feeb45dd6b16f3811aa"}, - {file = "pyarrow-18.1.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:f96bd502cb11abb08efea6dab09c003305161cb6c9eafd432e35e76e7fa9b90c"}, - {file = "pyarrow-18.1.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:36ac22d7782554754a3b50201b607d553a8d71b78cdf03b33c1125be4b52397c"}, - {file = "pyarrow-18.1.0-cp313-cp313-win_amd64.whl", hash = "sha256:25dbacab8c5952df0ca6ca0af28f50d45bd31c1ff6fcf79e2d120b4a65ee7181"}, - {file = "pyarrow-18.1.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6a276190309aba7bc9d5bd2933230458b3521a4317acfefe69a354f2fe59f2bc"}, - {file = "pyarrow-18.1.0-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:ad514dbfcffe30124ce655d72771ae070f30bf850b48bc4d9d3b25993ee0e386"}, - {file = "pyarrow-18.1.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aebc13a11ed3032d8dd6e7171eb6e86d40d67a5639d96c35142bd568b9299324"}, - {file = "pyarrow-18.1.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d6cf5c05f3cee251d80e98726b5c7cc9f21bab9e9783673bac58e6dfab57ecc8"}, - {file = "pyarrow-18.1.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:11b676cd410cf162d3f6a70b43fb9e1e40affbc542a1e9ed3681895f2962d3d9"}, - {file = "pyarrow-18.1.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:b76130d835261b38f14fc41fdfb39ad8d672afb84c447126b84d5472244cfaba"}, - {file = "pyarrow-18.1.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:0b331e477e40f07238adc7ba7469c36b908f07c89b95dd4bd3a0ec84a3d1e21e"}, - {file = "pyarrow-18.1.0-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:2c4dd0c9010a25ba03e198fe743b1cc03cd33c08190afff371749c52ccbbaf76"}, - {file = "pyarrow-18.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f97b31b4c4e21ff58c6f330235ff893cc81e23da081b1a4b1c982075e0ed4e9"}, - {file = "pyarrow-18.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a4813cb8ecf1809871fd2d64a8eff740a1bd3691bbe55f01a3cf6c5ec869754"}, - {file = "pyarrow-18.1.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:05a5636ec3eb5cc2a36c6edb534a38ef57b2ab127292a716d00eabb887835f1e"}, - {file = "pyarrow-18.1.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:73eeed32e724ea3568bb06161cad5fa7751e45bc2228e33dcb10c614044165c7"}, - {file = "pyarrow-18.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:a1880dd6772b685e803011a6b43a230c23b566859a6e0c9a276c1e0faf4f4052"}, - {file = "pyarrow-18.1.0.tar.gz", hash = "sha256:9386d3ca9c145b5539a1cfc75df07757dff870168c959b473a0bccbc3abc8c73"}, + {file = "pyarrow-19.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c318eda14f6627966997a7d8c374a87d084a94e4e38e9abbe97395c215830e0c"}, + {file = "pyarrow-19.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:62ef8360ff256e960f57ce0299090fb86423afed5e46f18f1225f960e05aae3d"}, + {file = "pyarrow-19.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2795064647add0f16563e57e3d294dbfc067b723f0fd82ecd80af56dad15f503"}, + {file = "pyarrow-19.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a218670b26fb1bc74796458d97bcab072765f9b524f95b2fccad70158feb8b17"}, + {file = "pyarrow-19.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:66732e39eaa2247996a6b04c8aa33e3503d351831424cdf8d2e9a0582ac54b34"}, + {file = "pyarrow-19.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:e675a3ad4732b92d72e4d24009707e923cab76b0d088e5054914f11a797ebe44"}, + {file = "pyarrow-19.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:f094742275586cdd6b1a03655ccff3b24b2610c3af76f810356c4c71d24a2a6c"}, + {file = "pyarrow-19.0.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:8e3a839bf36ec03b4315dc924d36dcde5444a50066f1c10f8290293c0427b46a"}, + {file = "pyarrow-19.0.0-cp311-cp311-macosx_12_0_x86_64.whl", hash = "sha256:ce42275097512d9e4e4a39aade58ef2b3798a93aa3026566b7892177c266f735"}, + {file = "pyarrow-19.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9348a0137568c45601b031a8d118275069435f151cbb77e6a08a27e8125f59d4"}, + {file = "pyarrow-19.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a0144a712d990d60f7f42b7a31f0acaccf4c1e43e957f7b1ad58150d6f639c1"}, + {file = "pyarrow-19.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2a1a109dfda558eb011e5f6385837daffd920d54ca00669f7a11132d0b1e6042"}, + {file = "pyarrow-19.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:be686bf625aa7b9bada18defb3a3ea3981c1099697239788ff111d87f04cd263"}, + {file = "pyarrow-19.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:239ca66d9a05844bdf5af128861af525e14df3c9591bcc05bac25918e650d3a2"}, + {file = "pyarrow-19.0.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:a7bbe7109ab6198688b7079cbad5a8c22de4d47c4880d8e4847520a83b0d1b68"}, + {file = "pyarrow-19.0.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:4624c89d6f777c580e8732c27bb8e77fd1433b89707f17c04af7635dd9638351"}, + {file = "pyarrow-19.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2b6d3ce4288793350dc2d08d1e184fd70631ea22a4ff9ea5c4ff182130249d9b"}, + {file = "pyarrow-19.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:450a7d27e840e4d9a384b5c77199d489b401529e75a3b7a3799d4cd7957f2f9c"}, + {file = "pyarrow-19.0.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:a08e2a8a039a3f72afb67a6668180f09fddaa38fe0d21f13212b4aba4b5d2451"}, + {file = "pyarrow-19.0.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:f43f5aef2a13d4d56adadae5720d1fed4c1356c993eda8b59dace4b5983843c1"}, + {file = "pyarrow-19.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:2f672f5364b2d7829ef7c94be199bb88bf5661dd485e21d2d37de12ccb78a136"}, + {file = "pyarrow-19.0.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:cf3bf0ce511b833f7bc5f5bb3127ba731e97222023a444b7359f3a22e2a3b463"}, + {file = "pyarrow-19.0.0-cp313-cp313-macosx_12_0_x86_64.whl", hash = "sha256:4d8b0c0de0a73df1f1bf439af1b60f273d719d70648e898bc077547649bb8352"}, + {file = "pyarrow-19.0.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92aff08e23d281c69835e4a47b80569242a504095ef6a6223c1f6bb8883431d"}, + {file = "pyarrow-19.0.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c3b78eff5968a1889a0f3bc81ca57e1e19b75f664d9c61a42a604bf9d8402aae"}, + {file = "pyarrow-19.0.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:b34d3bde38eba66190b215bae441646330f8e9da05c29e4b5dd3e41bde701098"}, + {file = "pyarrow-19.0.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:5418d4d0fab3a0ed497bad21d17a7973aad336d66ad4932a3f5f7480d4ca0c04"}, + {file = "pyarrow-19.0.0-cp313-cp313-win_amd64.whl", hash = "sha256:e82c3d5e44e969c217827b780ed8faf7ac4c53f934ae9238872e749fa531f7c9"}, + {file = "pyarrow-19.0.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:f208c3b58a6df3b239e0bb130e13bc7487ed14f39a9ff357b6415e3f6339b560"}, + {file = "pyarrow-19.0.0-cp313-cp313t-macosx_12_0_x86_64.whl", hash = "sha256:c751c1c93955b7a84c06794df46f1cec93e18610dcd5ab7d08e89a81df70a849"}, + {file = "pyarrow-19.0.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b903afaa5df66d50fc38672ad095806443b05f202c792694f3a604ead7c6ea6e"}, + {file = "pyarrow-19.0.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a22a4bc0937856263df8b94f2f2781b33dd7f876f787ed746608e06902d691a5"}, + {file = "pyarrow-19.0.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:5e8a28b918e2e878c918f6d89137386c06fe577cd08d73a6be8dafb317dc2d73"}, + {file = "pyarrow-19.0.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:29cd86c8001a94f768f79440bf83fee23963af5e7bc68ce3a7e5f120e17edf89"}, + {file = "pyarrow-19.0.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:c0423393e4a07ff6fea08feb44153302dd261d0551cc3b538ea7a5dc853af43a"}, + {file = "pyarrow-19.0.0-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:718947fb6d82409013a74b176bf93e0f49ef952d8a2ecd068fecd192a97885b7"}, + {file = "pyarrow-19.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c1c162c4660e0978411a4761f91113dde8da3433683efa473501254563dcbe8"}, + {file = "pyarrow-19.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c73268cf557e688efb60f1ccbc7376f7e18cd8e2acae9e663e98b194c40c1a2d"}, + {file = "pyarrow-19.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:edfe6d3916e915ada9acc4e48f6dafca7efdbad2e6283db6fd9385a1b23055f1"}, + {file = "pyarrow-19.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:da410b70a7ab8eb524112f037a7a35da7128b33d484f7671a264a4c224ac131d"}, + {file = "pyarrow-19.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:597360ffc71fc8cceea1aec1fb60cb510571a744fffc87db33d551d5de919bec"}, + {file = "pyarrow-19.0.0.tar.gz", hash = "sha256:8d47c691765cf497aaeed4954d226568563f1b3b74ff61139f2d77876717084b"}, ] [package.extras] test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"] +[[package]] +name = "pyasn1" +version = "0.6.1" +description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)" +optional = true +python-versions = ">=3.8" +files = [ + {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"}, + {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"}, +] + +[[package]] +name = "pyasn1-modules" +version = "0.4.1" +description = "A collection of ASN.1-based protocols modules" +optional = true +python-versions = ">=3.8" +files = [ + {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"}, + {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"}, +] + +[package.dependencies] +pyasn1 = ">=0.4.6,<0.7.0" + [[package]] name = "pycparser" version = "2.22" @@ -5688,119 +5911,131 @@ files = [ [[package]] name = "pydantic" -version = "2.8.2" +version = "2.10.5" description = "Data validation using Python type hints" optional = false python-versions = ">=3.8" files = [ - {file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"}, - {file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"}, + {file = "pydantic-2.10.5-py3-none-any.whl", hash = "sha256:4dd4e322dbe55472cb7ca7e73f4b63574eecccf2835ffa2af9021ce113c83c53"}, + {file = "pydantic-2.10.5.tar.gz", hash = "sha256:278b38dbbaec562011d659ee05f63346951b3a248a6f3642e1bc68894ea2b4ff"}, ] [package.dependencies] -annotated-types = ">=0.4.0" -pydantic-core = "2.20.1" -typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""} +annotated-types = ">=0.6.0" +pydantic-core = "2.27.2" +typing-extensions = ">=4.12.2" [package.extras] email = ["email-validator (>=2.0.0)"] +timezone = ["tzdata"] [[package]] name = "pydantic-core" -version = "2.20.1" +version = "2.27.2" description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.8" files = [ - {file = "pydantic_core-2.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3acae97ffd19bf091c72df4d726d552c473f3576409b2a7ca36b2f535ffff4a3"}, - {file = "pydantic_core-2.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:41f4c96227a67a013e7de5ff8f20fb496ce573893b7f4f2707d065907bffdbd6"}, - {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f239eb799a2081495ea659d8d4a43a8f42cd1fe9ff2e7e436295c38a10c286a"}, - {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:53e431da3fc53360db73eedf6f7124d1076e1b4ee4276b36fb25514544ceb4a3"}, - {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1f62b2413c3a0e846c3b838b2ecd6c7a19ec6793b2a522745b0869e37ab5bc1"}, - {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d41e6daee2813ecceea8eda38062d69e280b39df793f5a942fa515b8ed67953"}, - {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d482efec8b7dc6bfaedc0f166b2ce349df0011f5d2f1f25537ced4cfc34fd98"}, - {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e93e1a4b4b33daed65d781a57a522ff153dcf748dee70b40c7258c5861e1768a"}, - {file = "pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7c4ea22b6739b162c9ecaaa41d718dfad48a244909fe7ef4b54c0b530effc5a"}, - {file = "pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4f2790949cf385d985a31984907fecb3896999329103df4e4983a4a41e13e840"}, - {file = "pydantic_core-2.20.1-cp310-none-win32.whl", hash = "sha256:5e999ba8dd90e93d57410c5e67ebb67ffcaadcea0ad973240fdfd3a135506250"}, - {file = "pydantic_core-2.20.1-cp310-none-win_amd64.whl", hash = "sha256:512ecfbefef6dac7bc5eaaf46177b2de58cdf7acac8793fe033b24ece0b9566c"}, - {file = "pydantic_core-2.20.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d2a8fa9d6d6f891f3deec72f5cc668e6f66b188ab14bb1ab52422fe8e644f312"}, - {file = "pydantic_core-2.20.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:175873691124f3d0da55aeea1d90660a6ea7a3cfea137c38afa0a5ffabe37b88"}, - {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37eee5b638f0e0dcd18d21f59b679686bbd18917b87db0193ae36f9c23c355fc"}, - {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:25e9185e2d06c16ee438ed39bf62935ec436474a6ac4f9358524220f1b236e43"}, - {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:150906b40ff188a3260cbee25380e7494ee85048584998c1e66df0c7a11c17a6"}, - {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ad4aeb3e9a97286573c03df758fc7627aecdd02f1da04516a86dc159bf70121"}, - {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3f3ed29cd9f978c604708511a1f9c2fdcb6c38b9aae36a51905b8811ee5cbf1"}, - {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b0dae11d8f5ded51699c74d9548dcc5938e0804cc8298ec0aa0da95c21fff57b"}, - {file = "pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:faa6b09ee09433b87992fb5a2859efd1c264ddc37280d2dd5db502126d0e7f27"}, - {file = "pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9dc1b507c12eb0481d071f3c1808f0529ad41dc415d0ca11f7ebfc666e66a18b"}, - {file = "pydantic_core-2.20.1-cp311-none-win32.whl", hash = "sha256:fa2fddcb7107e0d1808086ca306dcade7df60a13a6c347a7acf1ec139aa6789a"}, - {file = "pydantic_core-2.20.1-cp311-none-win_amd64.whl", hash = "sha256:40a783fb7ee353c50bd3853e626f15677ea527ae556429453685ae32280c19c2"}, - {file = "pydantic_core-2.20.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:595ba5be69b35777474fa07f80fc260ea71255656191adb22a8c53aba4479231"}, - {file = "pydantic_core-2.20.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a4f55095ad087474999ee28d3398bae183a66be4823f753cd7d67dd0153427c9"}, - {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f9aa05d09ecf4c75157197f27cdc9cfaeb7c5f15021c6373932bf3e124af029f"}, - {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e97fdf088d4b31ff4ba35db26d9cc472ac7ef4a2ff2badeabf8d727b3377fc52"}, - {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc633a9fe1eb87e250b5c57d389cf28998e4292336926b0b6cdaee353f89a237"}, - {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d573faf8eb7e6b1cbbcb4f5b247c60ca8be39fe2c674495df0eb4318303137fe"}, - {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26dc97754b57d2fd00ac2b24dfa341abffc380b823211994c4efac7f13b9e90e"}, - {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:33499e85e739a4b60c9dac710c20a08dc73cb3240c9a0e22325e671b27b70d24"}, - {file = "pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:bebb4d6715c814597f85297c332297c6ce81e29436125ca59d1159b07f423eb1"}, - {file = "pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:516d9227919612425c8ef1c9b869bbbee249bc91912c8aaffb66116c0b447ebd"}, - {file = "pydantic_core-2.20.1-cp312-none-win32.whl", hash = "sha256:469f29f9093c9d834432034d33f5fe45699e664f12a13bf38c04967ce233d688"}, - {file = "pydantic_core-2.20.1-cp312-none-win_amd64.whl", hash = "sha256:035ede2e16da7281041f0e626459bcae33ed998cca6a0a007a5ebb73414ac72d"}, - {file = "pydantic_core-2.20.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:0827505a5c87e8aa285dc31e9ec7f4a17c81a813d45f70b1d9164e03a813a686"}, - {file = "pydantic_core-2.20.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:19c0fa39fa154e7e0b7f82f88ef85faa2a4c23cc65aae2f5aea625e3c13c735a"}, - {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4aa223cd1e36b642092c326d694d8bf59b71ddddc94cdb752bbbb1c5c91d833b"}, - {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c336a6d235522a62fef872c6295a42ecb0c4e1d0f1a3e500fe949415761b8a19"}, - {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7eb6a0587eded33aeefea9f916899d42b1799b7b14b8f8ff2753c0ac1741edac"}, - {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:70c8daf4faca8da5a6d655f9af86faf6ec2e1768f4b8b9d0226c02f3d6209703"}, - {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9fa4c9bf273ca41f940bceb86922a7667cd5bf90e95dbb157cbb8441008482c"}, - {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:11b71d67b4725e7e2a9f6e9c0ac1239bbc0c48cce3dc59f98635efc57d6dac83"}, - {file = "pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:270755f15174fb983890c49881e93f8f1b80f0b5e3a3cc1394a255706cabd203"}, - {file = "pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c81131869240e3e568916ef4c307f8b99583efaa60a8112ef27a366eefba8ef0"}, - {file = "pydantic_core-2.20.1-cp313-none-win32.whl", hash = "sha256:b91ced227c41aa29c672814f50dbb05ec93536abf8f43cd14ec9521ea09afe4e"}, - {file = "pydantic_core-2.20.1-cp313-none-win_amd64.whl", hash = "sha256:65db0f2eefcaad1a3950f498aabb4875c8890438bc80b19362cf633b87a8ab20"}, - {file = "pydantic_core-2.20.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:4745f4ac52cc6686390c40eaa01d48b18997cb130833154801a442323cc78f91"}, - {file = "pydantic_core-2.20.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a8ad4c766d3f33ba8fd692f9aa297c9058970530a32c728a2c4bfd2616d3358b"}, - {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41e81317dd6a0127cabce83c0c9c3fbecceae981c8391e6f1dec88a77c8a569a"}, - {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:04024d270cf63f586ad41fff13fde4311c4fc13ea74676962c876d9577bcc78f"}, - {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eaad4ff2de1c3823fddf82f41121bdf453d922e9a238642b1dedb33c4e4f98ad"}, - {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:26ab812fa0c845df815e506be30337e2df27e88399b985d0bb4e3ecfe72df31c"}, - {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c5ebac750d9d5f2706654c638c041635c385596caf68f81342011ddfa1e5598"}, - {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2aafc5a503855ea5885559eae883978c9b6d8c8993d67766ee73d82e841300dd"}, - {file = "pydantic_core-2.20.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4868f6bd7c9d98904b748a2653031fc9c2f85b6237009d475b1008bfaeb0a5aa"}, - {file = "pydantic_core-2.20.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:aa2f457b4af386254372dfa78a2eda2563680d982422641a85f271c859df1987"}, - {file = "pydantic_core-2.20.1-cp38-none-win32.whl", hash = "sha256:225b67a1f6d602de0ce7f6c1c3ae89a4aa25d3de9be857999e9124f15dab486a"}, - {file = "pydantic_core-2.20.1-cp38-none-win_amd64.whl", hash = "sha256:6b507132dcfc0dea440cce23ee2182c0ce7aba7054576efc65634f080dbe9434"}, - {file = "pydantic_core-2.20.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:b03f7941783b4c4a26051846dea594628b38f6940a2fdc0df00b221aed39314c"}, - {file = "pydantic_core-2.20.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1eedfeb6089ed3fad42e81a67755846ad4dcc14d73698c120a82e4ccf0f1f9f6"}, - {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:635fee4e041ab9c479e31edda27fcf966ea9614fff1317e280d99eb3e5ab6fe2"}, - {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:77bf3ac639c1ff567ae3b47f8d4cc3dc20f9966a2a6dd2311dcc055d3d04fb8a"}, - {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7ed1b0132f24beeec5a78b67d9388656d03e6a7c837394f99257e2d55b461611"}, - {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6514f963b023aeee506678a1cf821fe31159b925c4b76fe2afa94cc70b3222b"}, - {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10d4204d8ca33146e761c79f83cc861df20e7ae9f6487ca290a97702daf56006"}, - {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2d036c7187b9422ae5b262badb87a20a49eb6c5238b2004e96d4da1231badef1"}, - {file = "pydantic_core-2.20.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9ebfef07dbe1d93efb94b4700f2d278494e9162565a54f124c404a5656d7ff09"}, - {file = "pydantic_core-2.20.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6b9d9bb600328a1ce523ab4f454859e9d439150abb0906c5a1983c146580ebab"}, - {file = "pydantic_core-2.20.1-cp39-none-win32.whl", hash = "sha256:784c1214cb6dd1e3b15dd8b91b9a53852aed16671cc3fbe4786f4f1db07089e2"}, - {file = "pydantic_core-2.20.1-cp39-none-win_amd64.whl", hash = "sha256:d2fe69c5434391727efa54b47a1e7986bb0186e72a41b203df8f5b0a19a4f669"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a45f84b09ac9c3d35dfcf6a27fd0634d30d183205230a0ebe8373a0e8cfa0906"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d02a72df14dfdbaf228424573a07af10637bd490f0901cee872c4f434a735b94"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2b27e6af28f07e2f195552b37d7d66b150adbaa39a6d327766ffd695799780f"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:084659fac3c83fd674596612aeff6041a18402f1e1bc19ca39e417d554468482"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:242b8feb3c493ab78be289c034a1f659e8826e2233786e36f2893a950a719bb6"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:38cf1c40a921d05c5edc61a785c0ddb4bed67827069f535d794ce6bcded919fc"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e0bbdd76ce9aa5d4209d65f2b27fc6e5ef1312ae6c5333c26db3f5ade53a1e99"}, - {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:254ec27fdb5b1ee60684f91683be95e5133c994cc54e86a0b0963afa25c8f8a6"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:407653af5617f0757261ae249d3fba09504d7a71ab36ac057c938572d1bc9331"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:c693e916709c2465b02ca0ad7b387c4f8423d1db7b4649c551f27a529181c5ad"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b5ff4911aea936a47d9376fd3ab17e970cc543d1b68921886e7f64bd28308d1"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:177f55a886d74f1808763976ac4efd29b7ed15c69f4d838bbd74d9d09cf6fa86"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:964faa8a861d2664f0c7ab0c181af0bea66098b1919439815ca8803ef136fc4e"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:4dd484681c15e6b9a977c785a345d3e378d72678fd5f1f3c0509608da24f2ac0"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f6d6cff3538391e8486a431569b77921adfcdef14eb18fbf19b7c0a5294d4e6a"}, - {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a6d511cc297ff0883bc3708b465ff82d7560193169a8b93260f74ecb0a5e08a7"}, - {file = "pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4"}, + {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"}, + {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7969e133a6f183be60e9f6f56bfae753585680f3b7307a8e555a948d443cc05a"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:3de9961f2a346257caf0aa508a4da705467f53778e9ef6fe744c038119737ef5"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e2bb4d3e5873c37bb3dd58714d4cd0b0e6238cebc4177ac8fe878f8b3aa8e74c"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:280d219beebb0752699480fe8f1dc61ab6615c2046d76b7ab7ee38858de0a4e7"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47956ae78b6422cbd46f772f1746799cbb862de838fd8d1fbd34a82e05b0983a"}, + {file = "pydantic_core-2.27.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:14d4a5c49d2f009d62a2a7140d3064f686d17a5d1a268bc641954ba181880236"}, + {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:337b443af21d488716f8d0b6164de833e788aa6bd7e3a39c005febc1284f4962"}, + {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_armv7l.whl", hash = "sha256:03d0f86ea3184a12f41a2d23f7ccb79cdb5a18e06993f8a45baa8dfec746f0e9"}, + {file = "pydantic_core-2.27.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7041c36f5680c6e0f08d922aed302e98b3745d97fe1589db0a3eebf6624523af"}, + {file = "pydantic_core-2.27.2-cp310-cp310-win32.whl", hash = "sha256:50a68f3e3819077be2c98110c1f9dcb3817e93f267ba80a2c05bb4f8799e2ff4"}, + {file = "pydantic_core-2.27.2-cp310-cp310-win_amd64.whl", hash = "sha256:e0fd26b16394ead34a424eecf8a31a1f5137094cabe84a1bcb10fa6ba39d3d31"}, + {file = "pydantic_core-2.27.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:8e10c99ef58cfdf2a66fc15d66b16c4a04f62bca39db589ae8cba08bc55331bc"}, + {file = "pydantic_core-2.27.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:26f32e0adf166a84d0cb63be85c562ca8a6fa8de28e5f0d92250c6b7e9e2aff7"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c19d1ea0673cd13cc2f872f6c9ab42acc4e4f492a7ca9d3795ce2b112dd7e15"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e68c4446fe0810e959cdff46ab0a41ce2f2c86d227d96dc3847af0ba7def306"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d9640b0059ff4f14d1f37321b94061c6db164fbe49b334b31643e0528d100d99"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:40d02e7d45c9f8af700f3452f329ead92da4c5f4317ca9b896de7ce7199ea459"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1c1fd185014191700554795c99b347d64f2bb637966c4cfc16998a0ca700d048"}, + {file = "pydantic_core-2.27.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d81d2068e1c1228a565af076598f9e7451712700b673de8f502f0334f281387d"}, + {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:1a4207639fb02ec2dbb76227d7c751a20b1a6b4bc52850568e52260cae64ca3b"}, + {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_armv7l.whl", hash = "sha256:3de3ce3c9ddc8bbd88f6e0e304dea0e66d843ec9de1b0042b0911c1663ffd474"}, + {file = "pydantic_core-2.27.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:30c5f68ded0c36466acede341551106821043e9afaad516adfb6e8fa80a4e6a6"}, + {file = "pydantic_core-2.27.2-cp311-cp311-win32.whl", hash = "sha256:c70c26d2c99f78b125a3459f8afe1aed4d9687c24fd677c6a4436bc042e50d6c"}, + {file = "pydantic_core-2.27.2-cp311-cp311-win_amd64.whl", hash = "sha256:08e125dbdc505fa69ca7d9c499639ab6407cfa909214d500897d02afb816e7cc"}, + {file = "pydantic_core-2.27.2-cp311-cp311-win_arm64.whl", hash = "sha256:26f0d68d4b235a2bae0c3fc585c585b4ecc51382db0e3ba402a22cbc440915e4"}, + {file = "pydantic_core-2.27.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:9e0c8cfefa0ef83b4da9588448b6d8d2a2bf1a53c3f1ae5fca39eb3061e2f0b0"}, + {file = "pydantic_core-2.27.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:83097677b8e3bd7eaa6775720ec8e0405f1575015a463285a92bfdfe254529ef"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:172fce187655fece0c90d90a678424b013f8fbb0ca8b036ac266749c09438cb7"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:519f29f5213271eeeeb3093f662ba2fd512b91c5f188f3bb7b27bc5973816934"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:05e3a55d124407fffba0dd6b0c0cd056d10e983ceb4e5dbd10dda135c31071d6"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c3ed807c7b91de05e63930188f19e921d1fe90de6b4f5cd43ee7fcc3525cb8c"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fb4aadc0b9a0c063206846d603b92030eb6f03069151a625667f982887153e2"}, + {file = "pydantic_core-2.27.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:28ccb213807e037460326424ceb8b5245acb88f32f3d2777427476e1b32c48c4"}, + {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:de3cd1899e2c279b140adde9357c4495ed9d47131b4a4eaff9052f23398076b3"}, + {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_armv7l.whl", hash = "sha256:220f892729375e2d736b97d0e51466252ad84c51857d4d15f5e9692f9ef12be4"}, + {file = "pydantic_core-2.27.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a0fcd29cd6b4e74fe8ddd2c90330fd8edf2e30cb52acda47f06dd615ae72da57"}, + {file = "pydantic_core-2.27.2-cp312-cp312-win32.whl", hash = "sha256:1e2cb691ed9834cd6a8be61228471d0a503731abfb42f82458ff27be7b2186fc"}, + {file = "pydantic_core-2.27.2-cp312-cp312-win_amd64.whl", hash = "sha256:cc3f1a99a4f4f9dd1de4fe0312c114e740b5ddead65bb4102884b384c15d8bc9"}, + {file = "pydantic_core-2.27.2-cp312-cp312-win_arm64.whl", hash = "sha256:3911ac9284cd8a1792d3cb26a2da18f3ca26c6908cc434a18f730dc0db7bfa3b"}, + {file = "pydantic_core-2.27.2-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7d14bd329640e63852364c306f4d23eb744e0f8193148d4044dd3dacdaacbd8b"}, + {file = "pydantic_core-2.27.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:82f91663004eb8ed30ff478d77c4d1179b3563df6cdb15c0817cd1cdaf34d154"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71b24c7d61131bb83df10cc7e687433609963a944ccf45190cfc21e0887b08c9"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fa8e459d4954f608fa26116118bb67f56b93b209c39b008277ace29937453dc9"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce8918cbebc8da707ba805b7fd0b382816858728ae7fe19a942080c24e5b7cd1"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eda3f5c2a021bbc5d976107bb302e0131351c2ba54343f8a496dc8783d3d3a6a"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd8086fa684c4775c27f03f062cbb9eaa6e17f064307e86b21b9e0abc9c0f02e"}, + {file = "pydantic_core-2.27.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8d9b3388db186ba0c099a6d20f0604a44eabdeef1777ddd94786cdae158729e4"}, + {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7a66efda2387de898c8f38c0cf7f14fca0b51a8ef0b24bfea5849f1b3c95af27"}, + {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_armv7l.whl", hash = "sha256:18a101c168e4e092ab40dbc2503bdc0f62010e95d292b27827871dc85450d7ee"}, + {file = "pydantic_core-2.27.2-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ba5dd002f88b78a4215ed2f8ddbdf85e8513382820ba15ad5ad8955ce0ca19a1"}, + {file = "pydantic_core-2.27.2-cp313-cp313-win32.whl", hash = "sha256:1ebaf1d0481914d004a573394f4be3a7616334be70261007e47c2a6fe7e50130"}, + {file = "pydantic_core-2.27.2-cp313-cp313-win_amd64.whl", hash = "sha256:953101387ecf2f5652883208769a79e48db18c6df442568a0b5ccd8c2723abee"}, + {file = "pydantic_core-2.27.2-cp313-cp313-win_arm64.whl", hash = "sha256:ac4dbfd1691affb8f48c2c13241a2e3b60ff23247cbcf981759c768b6633cf8b"}, + {file = "pydantic_core-2.27.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d3e8d504bdd3f10835468f29008d72fc8359d95c9c415ce6e767203db6127506"}, + {file = "pydantic_core-2.27.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:521eb9b7f036c9b6187f0b47318ab0d7ca14bd87f776240b90b21c1f4f149320"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85210c4d99a0114f5a9481b44560d7d1e35e32cc5634c656bc48e590b669b145"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d716e2e30c6f140d7560ef1538953a5cd1a87264c737643d481f2779fc247fe1"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f66d89ba397d92f840f8654756196d93804278457b5fbede59598a1f9f90b228"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:669e193c1c576a58f132e3158f9dfa9662969edb1a250c54d8fa52590045f046"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fdbe7629b996647b99c01b37f11170a57ae675375b14b8c13b8518b8320ced5"}, + {file = "pydantic_core-2.27.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d262606bf386a5ba0b0af3b97f37c83d7011439e3dc1a9298f21efb292e42f1a"}, + {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:cabb9bcb7e0d97f74df8646f34fc76fbf793b7f6dc2438517d7a9e50eee4f14d"}, + {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_armv7l.whl", hash = "sha256:d2d63f1215638d28221f664596b1ccb3944f6e25dd18cd3b86b0a4c408d5ebb9"}, + {file = "pydantic_core-2.27.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:bca101c00bff0adb45a833f8451b9105d9df18accb8743b08107d7ada14bd7da"}, + {file = "pydantic_core-2.27.2-cp38-cp38-win32.whl", hash = "sha256:f6f8e111843bbb0dee4cb6594cdc73e79b3329b526037ec242a3e49012495b3b"}, + {file = "pydantic_core-2.27.2-cp38-cp38-win_amd64.whl", hash = "sha256:fd1aea04935a508f62e0d0ef1f5ae968774a32afc306fb8545e06f5ff5cdf3ad"}, + {file = "pydantic_core-2.27.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c10eb4f1659290b523af58fa7cffb452a61ad6ae5613404519aee4bfbf1df993"}, + {file = "pydantic_core-2.27.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ef592d4bad47296fb11f96cd7dc898b92e795032b4894dfb4076cfccd43a9308"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c61709a844acc6bf0b7dce7daae75195a10aac96a596ea1b776996414791ede4"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c5f762659e47fdb7b16956c71598292f60a03aa92f8b6351504359dbdba6cf"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4c9775e339e42e79ec99c441d9730fccf07414af63eac2f0e48e08fd38a64d76"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:57762139821c31847cfb2df63c12f725788bd9f04bc2fb392790959b8f70f118"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d1e85068e818c73e048fe28cfc769040bb1f475524f4745a5dc621f75ac7630"}, + {file = "pydantic_core-2.27.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:097830ed52fd9e427942ff3b9bc17fab52913b2f50f2880dc4a5611446606a54"}, + {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:044a50963a614ecfae59bb1eaf7ea7efc4bc62f49ed594e18fa1e5d953c40e9f"}, + {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_armv7l.whl", hash = "sha256:4e0b4220ba5b40d727c7f879eac379b822eee5d8fff418e9d3381ee45b3b0362"}, + {file = "pydantic_core-2.27.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5e4f4bb20d75e9325cc9696c6802657b58bc1dbbe3022f32cc2b2b632c3fbb96"}, + {file = "pydantic_core-2.27.2-cp39-cp39-win32.whl", hash = "sha256:cca63613e90d001b9f2f9a9ceb276c308bfa2a43fafb75c8031c4f66039e8c6e"}, + {file = "pydantic_core-2.27.2-cp39-cp39-win_amd64.whl", hash = "sha256:77d1bca19b0f7021b3a982e6f903dcd5b2b06076def36a652e3907f596e29f67"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:2bf14caea37e91198329b828eae1618c068dfb8ef17bb33287a7ad4b61ac314e"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:b0cb791f5b45307caae8810c2023a184c74605ec3bcbb67d13846c28ff731ff8"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:688d3fd9fcb71f41c4c015c023d12a79d1c4c0732ec9eb35d96e3388a120dcf3"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d591580c34f4d731592f0e9fe40f9cc1b430d297eecc70b962e93c5c668f15f"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:82f986faf4e644ffc189a7f1aafc86e46ef70372bb153e7001e8afccc6e54133"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:bec317a27290e2537f922639cafd54990551725fc844249e64c523301d0822fc"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:0296abcb83a797db256b773f45773da397da75a08f5fcaef41f2044adec05f50"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0d75070718e369e452075a6017fbf187f788e17ed67a3abd47fa934d001863d9"}, + {file = "pydantic_core-2.27.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:7e17b560be3c98a8e3aa66ce828bdebb9e9ac6ad5466fba92eb74c4c95cb1151"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c33939a82924da9ed65dab5a65d427205a73181d8098e79b6b426bdf8ad4e656"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:00bad2484fa6bda1e216e7345a798bd37c68fb2d97558edd584942aa41b7d278"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c817e2b40aba42bac6f457498dacabc568c3b7a986fc9ba7c8d9d260b71485fb"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:251136cdad0cb722e93732cb45ca5299fb56e1344a833640bf93b2803f8d1bfd"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d2088237af596f0a524d3afc39ab3b036e8adb054ee57cbb1dcf8e09da5b29cc"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d4041c0b966a84b4ae7a09832eb691a35aec90910cd2dbe7a208de59be77965b"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl", hash = "sha256:8083d4e875ebe0b864ffef72a4304827015cff328a1be6e22cc850753bfb122b"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f141ee28a0ad2123b6611b6ceff018039df17f32ada8b534e6aa039545a3efb2"}, + {file = "pydantic_core-2.27.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7d0c8399fcc1848491f00e0314bd59fb34a9c008761bcb422a057670c3f65e35"}, + {file = "pydantic_core-2.27.2.tar.gz", hash = "sha256:eb026e5a4c1fee05726072337ff51d1efb6f59090b7da90d30ea58625b1ffb39"}, ] [package.dependencies] @@ -5842,13 +6077,13 @@ windows-terminal = ["colorama (>=0.4.6)"] [[package]] name = "pyjwt" -version = "2.10.1" +version = "2.9.0" description = "JSON Web Token implementation in Python" optional = false -python-versions = ">=3.9" +python-versions = ">=3.8" files = [ - {file = "PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb"}, - {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"}, + {file = "PyJWT-2.9.0-py3-none-any.whl", hash = "sha256:3b02fb0f44517787776cf48f2ae25d8e14f300e6d7545a4315cee571a415e850"}, + {file = "pyjwt-2.9.0.tar.gz", hash = "sha256:7e1e5b56cc735432a7369cbfa0efe50fa113ebecdc04ae6922deba8b84582d0c"}, ] [package.dependencies] @@ -5919,13 +6154,13 @@ testutils = ["gitpython (>3)"] [[package]] name = "pymdown-extensions" -version = "10.14" +version = "10.14.1" description = "Extension pack for Python Markdown." optional = false python-versions = ">=3.8" files = [ - {file = "pymdown_extensions-10.14-py3-none-any.whl", hash = "sha256:202481f716cc8250e4be8fce997781ebf7917701b59652458ee47f2401f818b5"}, - {file = "pymdown_extensions-10.14.tar.gz", hash = "sha256:741bd7c4ff961ba40b7528d32284c53bc436b8b1645e8e37c3e57770b8700a34"}, + {file = "pymdown_extensions-10.14.1-py3-none-any.whl", hash = "sha256:637951cbfbe9874ba28134fb3ce4b8bcadd6aca89ac4998ec29dcbafd554ae08"}, + {file = "pymdown_extensions-10.14.1.tar.gz", hash = "sha256:b65801996a0cd4f42a3110810c306c45b7313c09b0610a6f773730f2a9e3c96b"}, ] [package.dependencies] @@ -5937,13 +6172,13 @@ extra = ["pygments (>=2.19.1)"] [[package]] name = "pymilvus" -version = "2.5.3" +version = "2.5.4" description = "Python Sdk for Milvus" optional = true python-versions = ">=3.8" files = [ - {file = "pymilvus-2.5.3-py3-none-any.whl", hash = "sha256:64ca63594284586937274800be27a402f3be2d078130bf81d94ab8d7798ac9c8"}, - {file = "pymilvus-2.5.3.tar.gz", hash = "sha256:68bc3797b7a14c494caf116cee888894ffd6eba7b96a3ac841be85d60694cc5d"}, + {file = "pymilvus-2.5.4-py3-none-any.whl", hash = "sha256:3f7ddaeae0c8f63554b8e316b73f265d022e05a457d47c366ce47293434a3aea"}, + {file = "pymilvus-2.5.4.tar.gz", hash = "sha256:611732428ff669d57ded3d1f823bdeb10febf233d0251cce8498b287e5a10ce8"}, ] [package.dependencies] @@ -5962,13 +6197,13 @@ model = ["milvus-model (>=0.1.0)"] [[package]] name = "pypandoc" -version = "1.14" +version = "1.15" description = "Thin wrapper for pandoc." optional = true -python-versions = ">=3.6" +python-versions = ">=3.7" files = [ - {file = "pypandoc-1.14-py3-none-any.whl", hash = "sha256:1315c7ad7fac7236dacf69a05b521ed2c3f1d0177f70e9b92bfffce6c023df22"}, - {file = "pypandoc-1.14.tar.gz", hash = "sha256:6b4c45f5f1b9fb5bb562079164806bdbbc3e837b5402bcf3f1139edc5730a197"}, + {file = "pypandoc-1.15-py3-none-any.whl", hash = "sha256:4ededcc76c8770f27aaca6dff47724578428eca84212a31479403a9731fc2b16"}, + {file = "pypandoc-1.15.tar.gz", hash = "sha256:ea25beebe712ae41d63f7410c08741a3cab0e420f6703f95bc9b3a749192ce13"}, ] [[package]] @@ -6164,13 +6399,13 @@ files = [ [[package]] name = "python-multipart" -version = "0.0.20" +version = "0.0.17" description = "A streaming multipart parser for Python" optional = false python-versions = ">=3.8" files = [ - {file = "python_multipart-0.0.20-py3-none-any.whl", hash = "sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104"}, - {file = "python_multipart-0.0.20.tar.gz", hash = "sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13"}, + {file = "python_multipart-0.0.17-py3-none-any.whl", hash = "sha256:15dc4f487e0a9476cc1201261188ee0940165cffc94429b6fc565c4d3045cb5d"}, + {file = "python_multipart-0.0.17.tar.gz", hash = "sha256:41330d831cae6e2f22902704ead2826ea038d0419530eadff3ea80175aec5538"}, ] [[package]] @@ -6458,13 +6693,13 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""} [[package]] name = "qdrant-client" -version = "1.12.2" +version = "1.13.2" description = "Client library for the Qdrant vector search engine" optional = true python-versions = ">=3.9" files = [ - {file = "qdrant_client-1.12.2-py3-none-any.whl", hash = "sha256:a0ae500a46a679ff3521ba3f1f1cf3d72b57090a768cec65fc317066bcbac1e6"}, - {file = "qdrant_client-1.12.2.tar.gz", hash = "sha256:2777e09b3e89bb22bb490384d8b1fa8140f3915287884f18984f7031a346aba5"}, + {file = "qdrant_client-1.13.2-py3-none-any.whl", hash = "sha256:db97e759bd3f8d483a383984ba4c2a158eef56f2188d83df7771591d43de2201"}, + {file = "qdrant_client-1.13.2.tar.gz", hash = "sha256:c8cce87ce67b006f49430a050a35c85b78e3b896c0c756dafc13bdeca543ec13"}, ] [package.dependencies] @@ -6480,8 +6715,8 @@ pydantic = ">=1.10.8" urllib3 = ">=1.26.14,<3" [package.extras] -fastembed = ["fastembed (==0.5.0)"] -fastembed-gpu = ["fastembed-gpu (==0.5.0)"] +fastembed = ["fastembed (==0.5.1)"] +fastembed-gpu = ["fastembed-gpu (==0.5.1)"] [[package]] name = "rapidfuzz" @@ -6603,18 +6838,19 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==23.2.1)", "requests (>=2.31.0)" [[package]] name = "referencing" -version = "0.35.1" +version = "0.36.2" description = "JSON Referencing + Python" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"}, - {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"}, + {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"}, + {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"}, ] [package.dependencies] attrs = ">=22.2.0" rpds-py = ">=0.7.0" +typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""} [[package]] name = "regex" @@ -6943,72 +7179,86 @@ files = [ {file = "rpds_py-0.22.3.tar.gz", hash = "sha256:e32fee8ab45d3c2db6da19a5323bc3362237c8b653c70194414b892fd06a080d"}, ] +[[package]] +name = "rsa" +version = "4.9" +description = "Pure-Python RSA implementation" +optional = true +python-versions = ">=3.6,<4" +files = [ + {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"}, + {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"}, +] + +[package.dependencies] +pyasn1 = ">=0.1.3" + [[package]] name = "ruff" -version = "0.8.6" +version = "0.9.3" description = "An extremely fast Python linter and code formatter, written in Rust." optional = false python-versions = ">=3.7" files = [ - {file = "ruff-0.8.6-py3-none-linux_armv6l.whl", hash = "sha256:defed167955d42c68b407e8f2e6f56ba52520e790aba4ca707a9c88619e580e3"}, - {file = "ruff-0.8.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:54799ca3d67ae5e0b7a7ac234baa657a9c1784b48ec954a094da7c206e0365b1"}, - {file = "ruff-0.8.6-py3-none-macosx_11_0_arm64.whl", hash = "sha256:e88b8f6d901477c41559ba540beeb5a671e14cd29ebd5683903572f4b40a9807"}, - {file = "ruff-0.8.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0509e8da430228236a18a677fcdb0c1f102dd26d5520f71f79b094963322ed25"}, - {file = "ruff-0.8.6-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:91a7ddb221779871cf226100e677b5ea38c2d54e9e2c8ed847450ebbdf99b32d"}, - {file = "ruff-0.8.6-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:248b1fb3f739d01d528cc50b35ee9c4812aa58cc5935998e776bf8ed5b251e75"}, - {file = "ruff-0.8.6-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:bc3c083c50390cf69e7e1b5a5a7303898966be973664ec0c4a4acea82c1d4315"}, - {file = "ruff-0.8.6-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:52d587092ab8df308635762386f45f4638badb0866355b2b86760f6d3c076188"}, - {file = "ruff-0.8.6-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:61323159cf21bc3897674e5adb27cd9e7700bab6b84de40d7be28c3d46dc67cf"}, - {file = "ruff-0.8.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ae4478b1471fc0c44ed52a6fb787e641a2ac58b1c1f91763bafbc2faddc5117"}, - {file = "ruff-0.8.6-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:0c000a471d519b3e6cfc9c6680025d923b4ca140ce3e4612d1a2ef58e11f11fe"}, - {file = "ruff-0.8.6-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:9257aa841e9e8d9b727423086f0fa9a86b6b420fbf4bf9e1465d1250ce8e4d8d"}, - {file = "ruff-0.8.6-py3-none-musllinux_1_2_i686.whl", hash = "sha256:45a56f61b24682f6f6709636949ae8cc82ae229d8d773b4c76c09ec83964a95a"}, - {file = "ruff-0.8.6-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:496dd38a53aa173481a7d8866bcd6451bd934d06976a2505028a50583e001b76"}, - {file = "ruff-0.8.6-py3-none-win32.whl", hash = "sha256:e169ea1b9eae61c99b257dc83b9ee6c76f89042752cb2d83486a7d6e48e8f764"}, - {file = "ruff-0.8.6-py3-none-win_amd64.whl", hash = "sha256:f1d70bef3d16fdc897ee290d7d20da3cbe4e26349f62e8a0274e7a3f4ce7a905"}, - {file = "ruff-0.8.6-py3-none-win_arm64.whl", hash = "sha256:7d7fc2377a04b6e04ffe588caad613d0c460eb2ecba4c0ccbbfe2bc973cbc162"}, - {file = "ruff-0.8.6.tar.gz", hash = "sha256:dcad24b81b62650b0eb8814f576fc65cfee8674772a6e24c9b747911801eeaa5"}, + {file = "ruff-0.9.3-py3-none-linux_armv6l.whl", hash = "sha256:7f39b879064c7d9670197d91124a75d118d00b0990586549949aae80cdc16624"}, + {file = "ruff-0.9.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:a187171e7c09efa4b4cc30ee5d0d55a8d6c5311b3e1b74ac5cb96cc89bafc43c"}, + {file = "ruff-0.9.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:c59ab92f8e92d6725b7ded9d4a31be3ef42688a115c6d3da9457a5bda140e2b4"}, + {file = "ruff-0.9.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2dc153c25e715be41bb228bc651c1e9b1a88d5c6e5ed0194fa0dfea02b026439"}, + {file = "ruff-0.9.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:646909a1e25e0dc28fbc529eab8eb7bb583079628e8cbe738192853dbbe43af5"}, + {file = "ruff-0.9.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5a5a46e09355695fbdbb30ed9889d6cf1c61b77b700a9fafc21b41f097bfbba4"}, + {file = "ruff-0.9.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:c4bb09d2bbb394e3730d0918c00276e79b2de70ec2a5231cd4ebb51a57df9ba1"}, + {file = "ruff-0.9.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:96a87ec31dc1044d8c2da2ebbed1c456d9b561e7d087734336518181b26b3aa5"}, + {file = "ruff-0.9.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9bb7554aca6f842645022fe2d301c264e6925baa708b392867b7a62645304df4"}, + {file = "ruff-0.9.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cabc332b7075a914ecea912cd1f3d4370489c8018f2c945a30bcc934e3bc06a6"}, + {file = "ruff-0.9.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:33866c3cc2a575cbd546f2cd02bdd466fed65118e4365ee538a3deffd6fcb730"}, + {file = "ruff-0.9.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:006e5de2621304c8810bcd2ee101587712fa93b4f955ed0985907a36c427e0c2"}, + {file = "ruff-0.9.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:ba6eea4459dbd6b1be4e6bfc766079fb9b8dd2e5a35aff6baee4d9b1514ea519"}, + {file = "ruff-0.9.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:90230a6b8055ad47d3325e9ee8f8a9ae7e273078a66401ac66df68943ced029b"}, + {file = "ruff-0.9.3-py3-none-win32.whl", hash = "sha256:eabe5eb2c19a42f4808c03b82bd313fc84d4e395133fb3fc1b1516170a31213c"}, + {file = "ruff-0.9.3-py3-none-win_amd64.whl", hash = "sha256:040ceb7f20791dfa0e78b4230ee9dce23da3b64dd5848e40e3bf3ab76468dcf4"}, + {file = "ruff-0.9.3-py3-none-win_arm64.whl", hash = "sha256:800d773f6d4d33b0a3c60e2c6ae8f4c202ea2de056365acfa519aa48acf28e0b"}, + {file = "ruff-0.9.3.tar.gz", hash = "sha256:8293f89985a090ebc3ed1064df31f3b4b56320cdfcec8b60d3295bddb955c22a"}, ] [[package]] name = "s3transfer" -version = "0.10.4" +version = "0.11.2" description = "An Amazon S3 Transfer Manager" optional = false python-versions = ">=3.8" files = [ - {file = "s3transfer-0.10.4-py3-none-any.whl", hash = "sha256:244a76a24355363a68164241438de1b72f8781664920260c48465896b712a41e"}, - {file = "s3transfer-0.10.4.tar.gz", hash = "sha256:29edc09801743c21eb5ecbc617a152df41d3c287f67b615f73e5f750583666a7"}, + {file = "s3transfer-0.11.2-py3-none-any.whl", hash = "sha256:be6ecb39fadd986ef1701097771f87e4d2f821f27f6071c872143884d2950fbc"}, + {file = "s3transfer-0.11.2.tar.gz", hash = "sha256:3b39185cb72f5acc77db1a58b6e25b977f28d20496b6e58d6813d75f464d632f"}, ] [package.dependencies] -botocore = ">=1.33.2,<2.0a.0" +botocore = ">=1.36.0,<2.0a.0" [package.extras] -crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"] +crt = ["botocore[crt] (>=1.36.0,<2.0a.0)"] [[package]] name = "safetensors" -version = "0.5.1" +version = "0.5.2" description = "" -optional = false +optional = true python-versions = ">=3.7" files = [ - {file = "safetensors-0.5.1-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:5480b078590dd37ee1c27f153e1ee9a274b62b30871ee16c412d11341215f305"}, - {file = "safetensors-0.5.1-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:547e9fe8f3c9c50caf07cfcb6d2392f511853f7041821812ba73a05a915e91dd"}, - {file = "safetensors-0.5.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e98f5dbce744a87a8d2cb9147558e80af79cfe31aa4321554e1db0e49d9c957"}, - {file = "safetensors-0.5.1-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c40ef845cca82e365b46e192b7b4952082952d5965c602e030a73155336de89c"}, - {file = "safetensors-0.5.1-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3cb212b0cded22fa0e46bca248beecf2fd079f2dffd7cc04e116a8b0128ae601"}, - {file = "safetensors-0.5.1-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4abb7bcf2faba63a0b58a2c6fafab0200726727ab6f579a1155239927a792709"}, - {file = "safetensors-0.5.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:83a384e49b38c3ae3c02a52437548351af83029dff85fe3d1acd5b2cf06867bb"}, - {file = "safetensors-0.5.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:44946151b01083fe5863c20d626f6ed9f1544be80e3bb2177a7ec27f911fdbf8"}, - {file = "safetensors-0.5.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:168e7a032c944eb5aefaee0d4bf4e15e84dbbf0f2ef86fbe0dc778a68306fff8"}, - {file = "safetensors-0.5.1-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:430b7eab6b4139bee8587522f264f7eebbac3e41614b52e35caf90affe7e7972"}, - {file = "safetensors-0.5.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:97f548d6e9f86d3326ab8416303f9ae1ded15df126b87db42658c3d89a1040d7"}, - {file = "safetensors-0.5.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b021cad4af26677e0d3fbc5c8e2dfc3087ac44a3e0450576cbe0aa165849578c"}, - {file = "safetensors-0.5.1-cp38-abi3-win32.whl", hash = "sha256:7290f8acdf1e5b5daf6101d6eed506d1f6ad66d08ca9f26235372befba7e2285"}, - {file = "safetensors-0.5.1-cp38-abi3-win_amd64.whl", hash = "sha256:895f33c8ee55310606a407f45de3468ec0ffe259ba53cc0d4024a64fb58a1fc9"}, - {file = "safetensors-0.5.1.tar.gz", hash = "sha256:75927919a73b0f34d6943b531d757f724e65797a900d88d8081fe8b4448eadc3"}, + {file = "safetensors-0.5.2-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:45b6092997ceb8aa3801693781a71a99909ab9cc776fbc3fa9322d29b1d3bef2"}, + {file = "safetensors-0.5.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:6d0d6a8ee2215a440e1296b843edf44fd377b055ba350eaba74655a2fe2c4bae"}, + {file = "safetensors-0.5.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86016d40bcaa3bcc9a56cd74d97e654b5f4f4abe42b038c71e4f00a089c4526c"}, + {file = "safetensors-0.5.2-cp38-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:990833f70a5f9c7d3fc82c94507f03179930ff7d00941c287f73b6fcbf67f19e"}, + {file = "safetensors-0.5.2-cp38-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3dfa7c2f3fe55db34eba90c29df94bcdac4821043fc391cb5d082d9922013869"}, + {file = "safetensors-0.5.2-cp38-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:46ff2116150ae70a4e9c490d2ab6b6e1b1b93f25e520e540abe1b81b48560c3a"}, + {file = "safetensors-0.5.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ab696dfdc060caffb61dbe4066b86419107a24c804a4e373ba59be699ebd8d5"}, + {file = "safetensors-0.5.2-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:03c937100f38c9ff4c1507abea9928a6a9b02c9c1c9c3609ed4fb2bf413d4975"}, + {file = "safetensors-0.5.2-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:a00e737948791b94dad83cf0eafc09a02c4d8c2171a239e8c8572fe04e25960e"}, + {file = "safetensors-0.5.2-cp38-abi3-musllinux_1_2_armv7l.whl", hash = "sha256:d3a06fae62418ec8e5c635b61a8086032c9e281f16c63c3af46a6efbab33156f"}, + {file = "safetensors-0.5.2-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:1506e4c2eda1431099cebe9abf6c76853e95d0b7a95addceaa74c6019c65d8cf"}, + {file = "safetensors-0.5.2-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:5c5b5d9da594f638a259fca766046f44c97244cc7ab8bef161b3e80d04becc76"}, + {file = "safetensors-0.5.2-cp38-abi3-win32.whl", hash = "sha256:fe55c039d97090d1f85277d402954dd6ad27f63034fa81985a9cc59655ac3ee2"}, + {file = "safetensors-0.5.2-cp38-abi3-win_amd64.whl", hash = "sha256:78abdddd03a406646107f973c7843276e7b64e5e32623529dc17f3d94a20f589"}, + {file = "safetensors-0.5.2.tar.gz", hash = "sha256:cb4a8d98ba12fa016f4241932b1fc5e702e5143f5374bba0bbcf7ddc1c4cf2b8"}, ] [package.extras] @@ -7026,41 +7276,41 @@ torch = ["safetensors[numpy]", "torch (>=1.10)"] [[package]] name = "scikit-learn" -version = "1.6.0" +version = "1.6.1" description = "A set of python modules for machine learning and data mining" optional = false python-versions = ">=3.9" files = [ - {file = "scikit_learn-1.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:366fb3fa47dce90afed3d6106183f4978d6f24cfd595c2373424171b915ee718"}, - {file = "scikit_learn-1.6.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:59cd96a8d9f8dfd546f5d6e9787e1b989e981388d7803abbc9efdcde61e47460"}, - {file = "scikit_learn-1.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:efa7a579606c73a0b3d210e33ea410ea9e1af7933fe324cb7e6fbafae4ea5948"}, - {file = "scikit_learn-1.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a46d3ca0f11a540b8eaddaf5e38172d8cd65a86cb3e3632161ec96c0cffb774c"}, - {file = "scikit_learn-1.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:5be4577769c5dde6e1b53de8e6520f9b664ab5861dd57acee47ad119fd7405d6"}, - {file = "scikit_learn-1.6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1f50b4f24cf12a81c3c09958ae3b864d7534934ca66ded3822de4996d25d7285"}, - {file = "scikit_learn-1.6.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:eb9ae21f387826da14b0b9cb1034f5048ddb9182da429c689f5f4a87dc96930b"}, - {file = "scikit_learn-1.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0baa91eeb8c32632628874a5c91885eaedd23b71504d24227925080da075837a"}, - {file = "scikit_learn-1.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c716d13ba0a2f8762d96ff78d3e0cde90bc9c9b5c13d6ab6bb9b2d6ca6705fd"}, - {file = "scikit_learn-1.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:9aafd94bafc841b626681e626be27bf1233d5a0f20f0a6fdb4bee1a1963c6643"}, - {file = "scikit_learn-1.6.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:04a5ba45c12a5ff81518aa4f1604e826a45d20e53da47b15871526cda4ff5174"}, - {file = "scikit_learn-1.6.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:21fadfc2ad7a1ce8bd1d90f23d17875b84ec765eecbbfc924ff11fb73db582ce"}, - {file = "scikit_learn-1.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30f34bb5fde90e020653bb84dcb38b6c83f90c70680dbd8c38bd9becbad7a127"}, - {file = "scikit_learn-1.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1dad624cffe3062276a0881d4e441bc9e3b19d02d17757cd6ae79a9d192a0027"}, - {file = "scikit_learn-1.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:2fce7950a3fad85e0a61dc403df0f9345b53432ac0e47c50da210d22c60b6d85"}, - {file = "scikit_learn-1.6.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e5453b2e87ef8accedc5a8a4e6709f887ca01896cd7cc8a174fe39bd4bb00aef"}, - {file = "scikit_learn-1.6.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:5fe11794236fb83bead2af26a87ced5d26e3370b8487430818b915dafab1724e"}, - {file = "scikit_learn-1.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61fe3dcec0d82ae280877a818ab652f4988371e32dd5451e75251bece79668b1"}, - {file = "scikit_learn-1.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b44e3a51e181933bdf9a4953cc69c6025b40d2b49e238233f149b98849beb4bf"}, - {file = "scikit_learn-1.6.0-cp313-cp313-win_amd64.whl", hash = "sha256:a17860a562bac54384454d40b3f6155200c1c737c9399e6a97962c63fce503ac"}, - {file = "scikit_learn-1.6.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:98717d3c152f6842d36a70f21e1468fb2f1a2f8f2624d9a3f382211798516426"}, - {file = "scikit_learn-1.6.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:34e20bfac8ff0ebe0ff20fb16a4d6df5dc4cc9ce383e00c2ab67a526a3c67b18"}, - {file = "scikit_learn-1.6.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eba06d75815406091419e06dd650b91ebd1c5f836392a0d833ff36447c2b1bfa"}, - {file = "scikit_learn-1.6.0-cp313-cp313t-win_amd64.whl", hash = "sha256:b6916d1cec1ff163c7d281e699d7a6a709da2f2c5ec7b10547e08cc788ddd3ae"}, - {file = "scikit_learn-1.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:66b1cf721a9f07f518eb545098226796c399c64abdcbf91c2b95d625068363da"}, - {file = "scikit_learn-1.6.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:7b35b60cf4cd6564b636e4a40516b3c61a4fa7a8b1f7a3ce80c38ebe04750bc3"}, - {file = "scikit_learn-1.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a73b1c2038c93bc7f4bf21f6c9828d5116c5d2268f7a20cfbbd41d3074d52083"}, - {file = "scikit_learn-1.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c3fa7d3dd5a0ec2d0baba0d644916fa2ab180ee37850c5d536245df916946bd"}, - {file = "scikit_learn-1.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:df778486a32518cda33818b7e3ce48c78cef1d5f640a6bc9d97c6d2e71449a51"}, - {file = "scikit_learn-1.6.0.tar.gz", hash = "sha256:9d58481f9f7499dff4196927aedd4285a0baec8caa3790efbe205f13de37dd6e"}, + {file = "scikit_learn-1.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e"}, + {file = "scikit_learn-1.6.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0c8d036eb937dbb568c6242fa598d551d88fb4399c0344d95c001980ec1c7d36"}, + {file = "scikit_learn-1.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8634c4bd21a2a813e0a7e3900464e6d593162a29dd35d25bdf0103b3fce60ed5"}, + {file = "scikit_learn-1.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:775da975a471c4f6f467725dff0ced5c7ac7bda5e9316b260225b48475279a1b"}, + {file = "scikit_learn-1.6.1-cp310-cp310-win_amd64.whl", hash = "sha256:8a600c31592bd7dab31e1c61b9bbd6dea1b3433e67d264d17ce1017dbdce8002"}, + {file = "scikit_learn-1.6.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:72abc587c75234935e97d09aa4913a82f7b03ee0b74111dcc2881cba3c5a7b33"}, + {file = "scikit_learn-1.6.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:b3b00cdc8f1317b5f33191df1386c0befd16625f49d979fe77a8d44cae82410d"}, + {file = "scikit_learn-1.6.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dc4765af3386811c3ca21638f63b9cf5ecf66261cc4815c1db3f1e7dc7b79db2"}, + {file = "scikit_learn-1.6.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25fc636bdaf1cc2f4a124a116312d837148b5e10872147bdaf4887926b8c03d8"}, + {file = "scikit_learn-1.6.1-cp311-cp311-win_amd64.whl", hash = "sha256:fa909b1a36e000a03c382aade0bd2063fd5680ff8b8e501660c0f59f021a6415"}, + {file = "scikit_learn-1.6.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:926f207c804104677af4857b2c609940b743d04c4c35ce0ddc8ff4f053cddc1b"}, + {file = "scikit_learn-1.6.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:2c2cae262064e6a9b77eee1c8e768fc46aa0b8338c6a8297b9b6759720ec0ff2"}, + {file = "scikit_learn-1.6.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1061b7c028a8663fb9a1a1baf9317b64a257fcb036dae5c8752b2abef31d136f"}, + {file = "scikit_learn-1.6.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e69fab4ebfc9c9b580a7a80111b43d214ab06250f8a7ef590a4edf72464dd86"}, + {file = "scikit_learn-1.6.1-cp312-cp312-win_amd64.whl", hash = "sha256:70b1d7e85b1c96383f872a519b3375f92f14731e279a7b4c6cfd650cf5dffc52"}, + {file = "scikit_learn-1.6.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2ffa1e9e25b3d93990e74a4be2c2fc61ee5af85811562f1288d5d055880c4322"}, + {file = "scikit_learn-1.6.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:dc5cf3d68c5a20ad6d571584c0750ec641cc46aeef1c1507be51300e6003a7e1"}, + {file = "scikit_learn-1.6.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c06beb2e839ecc641366000ca84f3cf6fa9faa1777e29cf0c04be6e4d096a348"}, + {file = "scikit_learn-1.6.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8ca8cb270fee8f1f76fa9bfd5c3507d60c6438bbee5687f81042e2bb98e5a97"}, + {file = "scikit_learn-1.6.1-cp313-cp313-win_amd64.whl", hash = "sha256:7a1c43c8ec9fde528d664d947dc4c0789be4077a3647f232869f41d9bf50e0fb"}, + {file = "scikit_learn-1.6.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:a17c1dea1d56dcda2fac315712f3651a1fea86565b64b48fa1bc090249cbf236"}, + {file = "scikit_learn-1.6.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:6a7aa5f9908f0f28f4edaa6963c0a6183f1911e63a69aa03782f0d924c830a35"}, + {file = "scikit_learn-1.6.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0650e730afb87402baa88afbf31c07b84c98272622aaba002559b614600ca691"}, + {file = "scikit_learn-1.6.1-cp313-cp313t-win_amd64.whl", hash = "sha256:3f59fe08dc03ea158605170eb52b22a105f238a5d512c4470ddeca71feae8e5f"}, + {file = "scikit_learn-1.6.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6849dd3234e87f55dce1db34c89a810b489ead832aaf4d4550b7ea85628be6c1"}, + {file = "scikit_learn-1.6.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:e7be3fa5d2eb9be7d77c3734ff1d599151bb523674be9b834e8da6abe132f44e"}, + {file = "scikit_learn-1.6.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:44a17798172df1d3c1065e8fcf9019183f06c87609b49a124ebdf57ae6cb0107"}, + {file = "scikit_learn-1.6.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8b7a3b86e411e4bce21186e1c180d792f3d99223dcfa3b4f597ecc92fa1a422"}, + {file = "scikit_learn-1.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:7a73d457070e3318e32bdb3aa79a8d990474f19035464dfd8bede2883ab5dc3b"}, + {file = "scikit_learn-1.6.1.tar.gz", hash = "sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e"}, ] [package.dependencies] @@ -7080,51 +7330,51 @@ tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc ( [[package]] name = "scipy" -version = "1.15.0" +version = "1.15.1" description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.10" files = [ - {file = "scipy-1.15.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:aeac60d3562a7bf2f35549bdfdb6b1751c50590f55ce7322b4b2fc821dc27fca"}, - {file = "scipy-1.15.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5abbdc6ede5c5fed7910cf406a948e2c0869231c0db091593a6b2fa78be77e5d"}, - {file = "scipy-1.15.0-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:eb1533c59f0ec6c55871206f15a5c72d1fae7ad3c0a8ca33ca88f7c309bbbf8c"}, - {file = "scipy-1.15.0-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:de112c2dae53107cfeaf65101419662ac0a54e9a088c17958b51c95dac5de56d"}, - {file = "scipy-1.15.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2240e1fd0782e62e1aacdc7234212ee271d810f67e9cd3b8d521003a82603ef8"}, - {file = "scipy-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d35aef233b098e4de88b1eac29f0df378278e7e250a915766786b773309137c4"}, - {file = "scipy-1.15.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:1b29e4fc02e155a5fd1165f1e6a73edfdd110470736b0f48bcbe48083f0eee37"}, - {file = "scipy-1.15.0-cp310-cp310-win_amd64.whl", hash = "sha256:0e5b34f8894f9904cc578008d1a9467829c1817e9f9cb45e6d6eeb61d2ab7731"}, - {file = "scipy-1.15.0-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:46e91b5b16909ff79224b56e19cbad65ca500b3afda69225820aa3afbf9ec020"}, - {file = "scipy-1.15.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:82bff2eb01ccf7cea8b6ee5274c2dbeadfdac97919da308ee6d8e5bcbe846443"}, - {file = "scipy-1.15.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:9c8254fe21dd2c6c8f7757035ec0c31daecf3bb3cffd93bc1ca661b731d28136"}, - {file = "scipy-1.15.0-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:c9624eeae79b18cab1a31944b5ef87aa14b125d6ab69b71db22f0dbd962caf1e"}, - {file = "scipy-1.15.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d13bbc0658c11f3d19df4138336e4bce2c4fbd78c2755be4bf7b8e235481557f"}, - {file = "scipy-1.15.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bdca4c7bb8dc41307e5f39e9e5d19c707d8e20a29845e7533b3bb20a9d4ccba0"}, - {file = "scipy-1.15.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6f376d7c767731477bac25a85d0118efdc94a572c6b60decb1ee48bf2391a73b"}, - {file = "scipy-1.15.0-cp311-cp311-win_amd64.whl", hash = "sha256:61513b989ee8d5218fbeb178b2d51534ecaddba050db949ae99eeb3d12f6825d"}, - {file = "scipy-1.15.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:5beb0a2200372b7416ec73fdae94fe81a6e85e44eb49c35a11ac356d2b8eccc6"}, - {file = "scipy-1.15.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:fde0f3104dfa1dfbc1f230f65506532d0558d43188789eaf68f97e106249a913"}, - {file = "scipy-1.15.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:35c68f7044b4e7ad73a3e68e513dda946989e523df9b062bd3cf401a1a882192"}, - {file = "scipy-1.15.0-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:52475011be29dfcbecc3dfe3060e471ac5155d72e9233e8d5616b84e2b542054"}, - {file = "scipy-1.15.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5972e3f96f7dda4fd3bb85906a17338e65eaddfe47f750e240f22b331c08858e"}, - {file = "scipy-1.15.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe00169cf875bed0b3c40e4da45b57037dc21d7c7bf0c85ed75f210c281488f1"}, - {file = "scipy-1.15.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:161f80a98047c219c257bf5ce1777c574bde36b9d962a46b20d0d7e531f86863"}, - {file = "scipy-1.15.0-cp312-cp312-win_amd64.whl", hash = "sha256:327163ad73e54541a675240708244644294cb0a65cca420c9c79baeb9648e479"}, - {file = "scipy-1.15.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:0fcb16eb04d84670722ce8d93b05257df471704c913cb0ff9dc5a1c31d1e9422"}, - {file = "scipy-1.15.0-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:767e8cf6562931f8312f4faa7ddea412cb783d8df49e62c44d00d89f41f9bbe8"}, - {file = "scipy-1.15.0-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:37ce9394cdcd7c5f437583fc6ef91bd290014993900643fdfc7af9b052d1613b"}, - {file = "scipy-1.15.0-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:6d26f17c64abd6c6c2dfb39920f61518cc9e213d034b45b2380e32ba78fde4c0"}, - {file = "scipy-1.15.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e2448acd79c6374583581a1ded32ac71a00c2b9c62dfa87a40e1dd2520be111"}, - {file = "scipy-1.15.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36be480e512d38db67f377add5b759fb117edd987f4791cdf58e59b26962bee4"}, - {file = "scipy-1.15.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ccb6248a9987193fe74363a2d73b93bc2c546e0728bd786050b7aef6e17db03c"}, - {file = "scipy-1.15.0-cp313-cp313-win_amd64.whl", hash = "sha256:952d2e9eaa787f0a9e95b6e85da3654791b57a156c3e6609e65cc5176ccfe6f2"}, - {file = "scipy-1.15.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:b1432102254b6dc7766d081fa92df87832ac25ff0b3d3a940f37276e63eb74ff"}, - {file = "scipy-1.15.0-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:4e08c6a36f46abaedf765dd2dfcd3698fa4bd7e311a9abb2d80e33d9b2d72c34"}, - {file = "scipy-1.15.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:ec915cd26d76f6fc7ae8522f74f5b2accf39546f341c771bb2297f3871934a52"}, - {file = "scipy-1.15.0-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:351899dd2a801edd3691622172bc8ea01064b1cada794f8641b89a7dc5418db6"}, - {file = "scipy-1.15.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9baff912ea4f78a543d183ed6f5b3bea9784509b948227daaf6f10727a0e2e5"}, - {file = "scipy-1.15.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:cd9d9198a7fd9a77f0eb5105ea9734df26f41faeb2a88a0e62e5245506f7b6df"}, - {file = "scipy-1.15.0-cp313-cp313t-win_amd64.whl", hash = "sha256:129f899ed275c0515d553b8d31696924e2ca87d1972421e46c376b9eb87de3d2"}, - {file = "scipy-1.15.0.tar.gz", hash = "sha256:300742e2cc94e36a2880ebe464a1c8b4352a7b0f3e36ec3d2ac006cdbe0219ac"}, + {file = "scipy-1.15.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:c64ded12dcab08afff9e805a67ff4480f5e69993310e093434b10e85dc9d43e1"}, + {file = "scipy-1.15.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5b190b935e7db569960b48840e5bef71dc513314cc4e79a1b7d14664f57fd4ff"}, + {file = "scipy-1.15.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:4b17d4220df99bacb63065c76b0d1126d82bbf00167d1730019d2a30d6ae01ea"}, + {file = "scipy-1.15.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:63b9b6cd0333d0eb1a49de6f834e8aeaefe438df8f6372352084535ad095219e"}, + {file = "scipy-1.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f151e9fb60fbf8e52426132f473221a49362091ce7a5e72f8aa41f8e0da4f25"}, + {file = "scipy-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21e10b1dd56ce92fba3e786007322542361984f8463c6d37f6f25935a5a6ef52"}, + {file = "scipy-1.15.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:5dff14e75cdbcf07cdaa1c7707db6017d130f0af9ac41f6ce443a93318d6c6e0"}, + {file = "scipy-1.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:f82fcf4e5b377f819542fbc8541f7b5fbcf1c0017d0df0bc22c781bf60abc4d8"}, + {file = "scipy-1.15.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:5bd8d27d44e2c13d0c1124e6a556454f52cd3f704742985f6b09e75e163d20d2"}, + {file = "scipy-1.15.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:be3deeb32844c27599347faa077b359584ba96664c5c79d71a354b80a0ad0ce0"}, + {file = "scipy-1.15.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:5eb0ca35d4b08e95da99a9f9c400dc9f6c21c424298a0ba876fdc69c7afacedf"}, + {file = "scipy-1.15.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:74bb864ff7640dea310a1377d8567dc2cb7599c26a79ca852fc184cc851954ac"}, + {file = "scipy-1.15.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:667f950bf8b7c3a23b4199db24cb9bf7512e27e86d0e3813f015b74ec2c6e3df"}, + {file = "scipy-1.15.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:395be70220d1189756068b3173853029a013d8c8dd5fd3d1361d505b2aa58fa7"}, + {file = "scipy-1.15.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ce3a000cd28b4430426db2ca44d96636f701ed12e2b3ca1f2b1dd7abdd84b39a"}, + {file = "scipy-1.15.1-cp311-cp311-win_amd64.whl", hash = "sha256:3fe1d95944f9cf6ba77aa28b82dd6bb2a5b52f2026beb39ecf05304b8392864b"}, + {file = "scipy-1.15.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c09aa9d90f3500ea4c9b393ee96f96b0ccb27f2f350d09a47f533293c78ea776"}, + {file = "scipy-1.15.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:0ac102ce99934b162914b1e4a6b94ca7da0f4058b6d6fd65b0cef330c0f3346f"}, + {file = "scipy-1.15.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:09c52320c42d7f5c7748b69e9f0389266fd4f82cf34c38485c14ee976cb8cb04"}, + {file = "scipy-1.15.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:cdde8414154054763b42b74fe8ce89d7f3d17a7ac5dd77204f0e142cdc9239e9"}, + {file = "scipy-1.15.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c9d8fc81d6a3b6844235e6fd175ee1d4c060163905a2becce8e74cb0d7554ce"}, + {file = "scipy-1.15.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fb57b30f0017d4afa5fe5f5b150b8f807618819287c21cbe51130de7ccdaed2"}, + {file = "scipy-1.15.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:491d57fe89927fa1aafbe260f4cfa5ffa20ab9f1435025045a5315006a91b8f5"}, + {file = "scipy-1.15.1-cp312-cp312-win_amd64.whl", hash = "sha256:900f3fa3db87257510f011c292a5779eb627043dd89731b9c461cd16ef76ab3d"}, + {file = "scipy-1.15.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:100193bb72fbff37dbd0bf14322314fc7cbe08b7ff3137f11a34d06dc0ee6b85"}, + {file = "scipy-1.15.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:2114a08daec64980e4b4cbdf5bee90935af66d750146b1d2feb0d3ac30613692"}, + {file = "scipy-1.15.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:6b3e71893c6687fc5e29208d518900c24ea372a862854c9888368c0b267387ab"}, + {file = "scipy-1.15.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:837299eec3d19b7e042923448d17d95a86e43941104d33f00da7e31a0f715d3c"}, + {file = "scipy-1.15.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82add84e8a9fb12af5c2c1a3a3f1cb51849d27a580cb9e6bd66226195142be6e"}, + {file = "scipy-1.15.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:070d10654f0cb6abd295bc96c12656f948e623ec5f9a4eab0ddb1466c000716e"}, + {file = "scipy-1.15.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:55cc79ce4085c702ac31e49b1e69b27ef41111f22beafb9b49fea67142b696c4"}, + {file = "scipy-1.15.1-cp313-cp313-win_amd64.whl", hash = "sha256:c352c1b6d7cac452534517e022f8f7b8d139cd9f27e6fbd9f3cbd0bfd39f5bef"}, + {file = "scipy-1.15.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:0458839c9f873062db69a03de9a9765ae2e694352c76a16be44f93ea45c28d2b"}, + {file = "scipy-1.15.1-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:af0b61c1de46d0565b4b39c6417373304c1d4f5220004058bdad3061c9fa8a95"}, + {file = "scipy-1.15.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:71ba9a76c2390eca6e359be81a3e879614af3a71dfdabb96d1d7ab33da6f2364"}, + {file = "scipy-1.15.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:14eaa373c89eaf553be73c3affb11ec6c37493b7eaaf31cf9ac5dffae700c2e0"}, + {file = "scipy-1.15.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f735bc41bd1c792c96bc426dece66c8723283695f02df61dcc4d0a707a42fc54"}, + {file = "scipy-1.15.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2722a021a7929d21168830790202a75dbb20b468a8133c74a2c0230c72626b6c"}, + {file = "scipy-1.15.1-cp313-cp313t-win_amd64.whl", hash = "sha256:bc7136626261ac1ed988dca56cfc4ab5180f75e0ee52e58f1e6aa74b5f3eacd5"}, + {file = "scipy-1.15.1.tar.gz", hash = "sha256:033a75ddad1463970c96a88063a1df87ccfddd526437136b6ee81ff0312ebdf6"}, ] [package.dependencies] @@ -7137,13 +7387,13 @@ test = ["Cython", "array-api-strict (>=2.0,<2.1.1)", "asv", "gmpy2", "hypothesis [[package]] name = "semver" -version = "3.0.2" +version = "3.0.4" description = "Python helper for Semantic Versioning (https://semver.org)" optional = false python-versions = ">=3.7" files = [ - {file = "semver-3.0.2-py3-none-any.whl", hash = "sha256:b1ea4686fe70b981f85359eda33199d60c53964284e0cfb4977d243e37cf4bf4"}, - {file = "semver-3.0.2.tar.gz", hash = "sha256:6253adb39c70f6e51afed2fa7152bcd414c411286088fb4b9effb133885ab4cc"}, + {file = "semver-3.0.4-py3-none-any.whl", hash = "sha256:9c824d87ba7f7ab4a1890799cec8596f15c1241cb473404ea1cb0c55e4b04746"}, + {file = "semver-3.0.4.tar.gz", hash = "sha256:afc7d8c584a5ed0a11033af086e8af226a9c0b206f313e0301f8dd7b6b589602"}, ] [[package]] @@ -7164,13 +7414,13 @@ win32 = ["pywin32"] [[package]] name = "sentry-sdk" -version = "2.19.2" +version = "2.20.0" description = "Python client for Sentry (https://sentry.io)" optional = false python-versions = ">=3.6" files = [ - {file = "sentry_sdk-2.19.2-py2.py3-none-any.whl", hash = "sha256:ebdc08228b4d131128e568d696c210d846e5b9d70aa0327dec6b1272d9d40b84"}, - {file = "sentry_sdk-2.19.2.tar.gz", hash = "sha256:467df6e126ba242d39952375dd816fbee0f217d119bf454a8ce74cf1e7909e8d"}, + {file = "sentry_sdk-2.20.0-py2.py3-none-any.whl", hash = "sha256:c359a1edf950eb5e80cffd7d9111f3dbeef57994cb4415df37d39fda2cf22364"}, + {file = "sentry_sdk-2.20.0.tar.gz", hash = "sha256:afa82713a92facf847df3c6f63cec71eb488d826a50965def3d7722aa6f0fdab"}, ] [package.dependencies] @@ -7216,16 +7466,17 @@ sqlalchemy = ["sqlalchemy (>=1.2)"] starlette = ["starlette (>=0.19.1)"] starlite = ["starlite (>=1.48)"] tornado = ["tornado (>=6)"] +unleash = ["UnleashClient (>=6.0.1)"] [[package]] name = "setuptools" -version = "75.7.0" +version = "75.8.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" files = [ - {file = "setuptools-75.7.0-py3-none-any.whl", hash = "sha256:84fb203f278ebcf5cd08f97d3fb96d3fbed4b629d500b29ad60d11e00769b183"}, - {file = "setuptools-75.7.0.tar.gz", hash = "sha256:886ff7b16cd342f1d1defc16fc98c9ce3fde69e087a4e1983d7ab634e5f41f4f"}, + {file = "setuptools-75.8.0-py3-none-any.whl", hash = "sha256:e3982f444617239225d675215d51f6ba05f845d4eec313da4418fdbb56fb27e3"}, + {file = "setuptools-75.8.0.tar.gz", hash = "sha256:c5afc8f407c626b8313a86e10311dd3f661c6cd9c09d4bf8c15c0e11f9f2b0e6"}, ] [package.extras] @@ -7538,20 +7789,20 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] [[package]] name = "starlette" -version = "0.41.3" +version = "0.45.3" description = "The little ASGI library that shines." optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "starlette-0.41.3-py3-none-any.whl", hash = "sha256:44cedb2b7c77a9de33a8b74b2b90e9f50d11fcf25d8270ea525ad71a25374ff7"}, - {file = "starlette-0.41.3.tar.gz", hash = "sha256:0e4ab3d16522a255be6b28260b938eae2482f98ce5cc934cb08dce8dc3ba5835"}, + {file = "starlette-0.45.3-py3-none-any.whl", hash = "sha256:dfb6d332576f136ec740296c7e8bb8c8a7125044e7c6da30744718880cdd059d"}, + {file = "starlette-0.45.3.tar.gz", hash = "sha256:2cbcba2a75806f8a41c722141486f37c28e30a0921c5f6fe4346cb0dcee1302f"}, ] [package.dependencies] -anyio = ">=3.4.0,<5" +anyio = ">=3.6.2,<5" [package.extras] -full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"] +full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"] [[package]] name = "tabulate" @@ -7826,13 +8077,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0, [[package]] name = "transformers" -version = "4.47.1" +version = "4.48.1" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" -optional = false +optional = true python-versions = ">=3.9.0" files = [ - {file = "transformers-4.47.1-py3-none-any.whl", hash = "sha256:d2f5d19bb6283cd66c893ec7e6d931d6370bbf1cc93633326ff1f41a40046c9c"}, - {file = "transformers-4.47.1.tar.gz", hash = "sha256:6c29c05a5f595e278481166539202bf8641281536df1c42357ee58a45d0a564a"}, + {file = "transformers-4.48.1-py3-none-any.whl", hash = "sha256:24be0564b0a36d9e433d9a65de248f1545b6f6edce1737669605eb6a8141bbbb"}, + {file = "transformers-4.48.1.tar.gz", hash = "sha256:7c1931facc3ee8adcbf86fc7a87461d54c1e40eca3bb57fef1ee9f3ecd32187e"}, ] [package.dependencies] @@ -7849,16 +8100,16 @@ tqdm = ">=4.27" [package.extras] accelerate = ["accelerate (>=0.26.0)"] -agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"] -all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch", "torchaudio", "torchvision"] +agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=2.0)"] +all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (>=2.8.1)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision"] audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] benchmark = ["optimum-benchmark (>=0.3.0)"] -codecarbon = ["codecarbon (==1.2.0)"] +codecarbon = ["codecarbon (>=2.8.1)"] deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"] -deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] -dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] -dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"] -dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] +dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"] +dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] @@ -7879,17 +8130,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] tiktoken = ["blobfile", "tiktoken"] timm = ["timm (<=1.0.11)"] tokenizers = ["tokenizers (>=0.21,<0.22)"] -torch = ["accelerate (>=0.26.0)", "torch"] +torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"] video = ["av (==9.2.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -7946,13 +8197,13 @@ files = [ [[package]] name = "types-setuptools" -version = "75.6.0.20241223" +version = "75.8.0.20250110" description = "Typing stubs for setuptools" optional = false python-versions = ">=3.8" files = [ - {file = "types_setuptools-75.6.0.20241223-py3-none-any.whl", hash = "sha256:7cbfd3bf2944f88bbcdd321b86ddd878232a277be95d44c78a53585d78ebc2f6"}, - {file = "types_setuptools-75.6.0.20241223.tar.gz", hash = "sha256:d9478a985057ed48a994c707f548e55aababa85fe1c9b212f43ab5a1fffd3211"}, + {file = "types_setuptools-75.8.0.20250110-py3-none-any.whl", hash = "sha256:a9f12980bbf9bcdc23ecd80755789085bad6bfce4060c2275bc2b4ca9f2bc480"}, + {file = "types_setuptools-75.8.0.20250110.tar.gz", hash = "sha256:96f7ec8bbd6e0a54ea180d66ad68ad7a1d7954e7281a710ea2de75e355545271"}, ] [[package]] @@ -7983,13 +8234,13 @@ typing-extensions = ">=3.7.4" [[package]] name = "tzdata" -version = "2024.2" +version = "2025.1" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" files = [ - {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"}, - {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"}, + {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"}, + {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"}, ] [[package]] @@ -8081,13 +8332,13 @@ files = [ [[package]] name = "unstructured" -version = "0.16.12" +version = "0.16.15" description = "A library that prepares raw documents for downstream ML tasks." optional = true python-versions = "<3.13,>=3.9.0" files = [ - {file = "unstructured-0.16.12-py3-none-any.whl", hash = "sha256:bcac29ac1b38fba4228c5a1a7721d1aa7c48220f7c1dd43b563645c56e978c49"}, - {file = "unstructured-0.16.12.tar.gz", hash = "sha256:c3133731c6edb9c2f474e62cb2b560cd0a8d578c4532ec14d8c0941e401770b0"}, + {file = "unstructured-0.16.15-py3-none-any.whl", hash = "sha256:5b0931eb92fb858b983fada18111efdf9c2a0c861ef8e9b58c4e05b1daa50e35"}, + {file = "unstructured-0.16.15.tar.gz", hash = "sha256:18fb850d47b5a2a6ea45b2f7e0eda687f903a2f2e58909b1defd48e2b3126ff4"}, ] [package.dependencies] @@ -8123,19 +8374,19 @@ wrapt = "*" xlrd = {version = "*", optional = true, markers = "extra == \"xlsx\""} [package.extras] -all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] +all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] csv = ["pandas"] doc = ["python-docx (>=1.1.2)"] docx = ["python-docx (>=1.1.2)"] epub = ["pypandoc"] huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"] -image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"] -local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] +image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)"] +local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] md = ["markdown"] odt = ["pypandoc", "python-docx (>=1.1.2)"] org = ["pypandoc"] paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.1.0)"] -pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"] +pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)"] ppt = ["python-pptx (>=1.0.1)"] pptx = ["python-pptx (>=1.0.1)"] rst = ["pypandoc"] @@ -8193,6 +8444,17 @@ files = [ [package.extras] dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] +[[package]] +name = "uritemplate" +version = "4.1.1" +description = "Implementation of RFC 6570 URI Templates" +optional = true +python-versions = ">=3.6" +files = [ + {file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"}, + {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"}, +] + [[package]] name = "urllib3" version = "2.3.0" @@ -8212,21 +8474,22 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "uvicorn" -version = "0.22.0" +version = "0.34.0" description = "The lightning-fast ASGI server." optional = false -python-versions = ">=3.7" +python-versions = ">=3.9" files = [ - {file = "uvicorn-0.22.0-py3-none-any.whl", hash = "sha256:e9434d3bbf05f310e762147f769c9f21235ee118ba2d2bf1155a7196448bd996"}, - {file = "uvicorn-0.22.0.tar.gz", hash = "sha256:79277ae03db57ce7d9aa0567830bbb51d7a612f54d6e1e3e92da3ef24c2c8ed8"}, + {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"}, + {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"}, ] [package.dependencies] click = ">=7.0" h11 = ">=0.8" +typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} [package.extras] -standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] +standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "validators" @@ -8244,13 +8507,13 @@ crypto-eth-addresses = ["eth-hash[pycryptodome] (>=0.7.0)"] [[package]] name = "virtualenv" -version = "20.28.1" +version = "20.29.1" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" files = [ - {file = "virtualenv-20.28.1-py3-none-any.whl", hash = "sha256:412773c85d4dab0409b83ec36f7a6499e72eaf08c80e81e9576bca61831c71cb"}, - {file = "virtualenv-20.28.1.tar.gz", hash = "sha256:5d34ab240fdb5d21549b76f9e8ff3af28252f5499fb6d6f031adac4e5a8c5329"}, + {file = "virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779"}, + {file = "virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35"}, ] [package.dependencies] @@ -8398,76 +8661,90 @@ files = [ [[package]] name = "wrapt" -version = "1.17.0" +version = "1.17.2" description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = ">=3.8" files = [ - {file = "wrapt-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2a0c23b8319848426f305f9cb0c98a6e32ee68a36264f45948ccf8e7d2b941f8"}, - {file = "wrapt-1.17.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1ca5f060e205f72bec57faae5bd817a1560fcfc4af03f414b08fa29106b7e2d"}, - {file = "wrapt-1.17.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e185ec6060e301a7e5f8461c86fb3640a7beb1a0f0208ffde7a65ec4074931df"}, - {file = "wrapt-1.17.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb90765dd91aed05b53cd7a87bd7f5c188fcd95960914bae0d32c5e7f899719d"}, - {file = "wrapt-1.17.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:879591c2b5ab0a7184258274c42a126b74a2c3d5a329df16d69f9cee07bba6ea"}, - {file = "wrapt-1.17.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:fce6fee67c318fdfb7f285c29a82d84782ae2579c0e1b385b7f36c6e8074fffb"}, - {file = "wrapt-1.17.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0698d3a86f68abc894d537887b9bbf84d29bcfbc759e23f4644be27acf6da301"}, - {file = "wrapt-1.17.0-cp310-cp310-win32.whl", hash = "sha256:69d093792dc34a9c4c8a70e4973a3361c7a7578e9cd86961b2bbf38ca71e4e22"}, - {file = "wrapt-1.17.0-cp310-cp310-win_amd64.whl", hash = "sha256:f28b29dc158ca5d6ac396c8e0a2ef45c4e97bb7e65522bfc04c989e6fe814575"}, - {file = "wrapt-1.17.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:74bf625b1b4caaa7bad51d9003f8b07a468a704e0644a700e936c357c17dd45a"}, - {file = "wrapt-1.17.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f2a28eb35cf99d5f5bd12f5dd44a0f41d206db226535b37b0c60e9da162c3ed"}, - {file = "wrapt-1.17.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:81b1289e99cf4bad07c23393ab447e5e96db0ab50974a280f7954b071d41b489"}, - {file = "wrapt-1.17.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f2939cd4a2a52ca32bc0b359015718472d7f6de870760342e7ba295be9ebaf9"}, - {file = "wrapt-1.17.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6a9653131bda68a1f029c52157fd81e11f07d485df55410401f745007bd6d339"}, - {file = "wrapt-1.17.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:4e4b4385363de9052dac1a67bfb535c376f3d19c238b5f36bddc95efae15e12d"}, - {file = "wrapt-1.17.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:bdf62d25234290db1837875d4dceb2151e4ea7f9fff2ed41c0fde23ed542eb5b"}, - {file = "wrapt-1.17.0-cp311-cp311-win32.whl", hash = "sha256:5d8fd17635b262448ab8f99230fe4dac991af1dabdbb92f7a70a6afac8a7e346"}, - {file = "wrapt-1.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:92a3d214d5e53cb1db8b015f30d544bc9d3f7179a05feb8f16df713cecc2620a"}, - {file = "wrapt-1.17.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:89fc28495896097622c3fc238915c79365dd0ede02f9a82ce436b13bd0ab7569"}, - {file = "wrapt-1.17.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:875d240fdbdbe9e11f9831901fb8719da0bd4e6131f83aa9f69b96d18fae7504"}, - {file = "wrapt-1.17.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5ed16d95fd142e9c72b6c10b06514ad30e846a0d0917ab406186541fe68b451"}, - {file = "wrapt-1.17.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:18b956061b8db634120b58f668592a772e87e2e78bc1f6a906cfcaa0cc7991c1"}, - {file = "wrapt-1.17.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:daba396199399ccabafbfc509037ac635a6bc18510ad1add8fd16d4739cdd106"}, - {file = "wrapt-1.17.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:4d63f4d446e10ad19ed01188d6c1e1bb134cde8c18b0aa2acfd973d41fcc5ada"}, - {file = "wrapt-1.17.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8a5e7cc39a45fc430af1aefc4d77ee6bad72c5bcdb1322cfde852c15192b8bd4"}, - {file = "wrapt-1.17.0-cp312-cp312-win32.whl", hash = "sha256:0a0a1a1ec28b641f2a3a2c35cbe86c00051c04fffcfcc577ffcdd707df3f8635"}, - {file = "wrapt-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:3c34f6896a01b84bab196f7119770fd8466c8ae3dfa73c59c0bb281e7b588ce7"}, - {file = "wrapt-1.17.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:714c12485aa52efbc0fc0ade1e9ab3a70343db82627f90f2ecbc898fdf0bb181"}, - {file = "wrapt-1.17.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da427d311782324a376cacb47c1a4adc43f99fd9d996ffc1b3e8529c4074d393"}, - {file = "wrapt-1.17.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ba1739fb38441a27a676f4de4123d3e858e494fac05868b7a281c0a383c098f4"}, - {file = "wrapt-1.17.0-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e711fc1acc7468463bc084d1b68561e40d1eaa135d8c509a65dd534403d83d7b"}, - {file = "wrapt-1.17.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:140ea00c87fafc42739bd74a94a5a9003f8e72c27c47cd4f61d8e05e6dec8721"}, - {file = "wrapt-1.17.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:73a96fd11d2b2e77d623a7f26e004cc31f131a365add1ce1ce9a19e55a1eef90"}, - {file = "wrapt-1.17.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:0b48554952f0f387984da81ccfa73b62e52817a4386d070c75e4db7d43a28c4a"}, - {file = "wrapt-1.17.0-cp313-cp313-win32.whl", hash = "sha256:498fec8da10e3e62edd1e7368f4b24aa362ac0ad931e678332d1b209aec93045"}, - {file = "wrapt-1.17.0-cp313-cp313-win_amd64.whl", hash = "sha256:fd136bb85f4568fffca995bd3c8d52080b1e5b225dbf1c2b17b66b4c5fa02838"}, - {file = "wrapt-1.17.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:17fcf043d0b4724858f25b8826c36e08f9fb2e475410bece0ec44a22d533da9b"}, - {file = "wrapt-1.17.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4a557d97f12813dc5e18dad9fa765ae44ddd56a672bb5de4825527c847d6379"}, - {file = "wrapt-1.17.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0229b247b0fc7dee0d36176cbb79dbaf2a9eb7ecc50ec3121f40ef443155fb1d"}, - {file = "wrapt-1.17.0-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8425cfce27b8b20c9b89d77fb50e368d8306a90bf2b6eef2cdf5cd5083adf83f"}, - {file = "wrapt-1.17.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9c900108df470060174108012de06d45f514aa4ec21a191e7ab42988ff42a86c"}, - {file = "wrapt-1.17.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:4e547b447073fc0dbfcbff15154c1be8823d10dab4ad401bdb1575e3fdedff1b"}, - {file = "wrapt-1.17.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:914f66f3b6fc7b915d46c1cc424bc2441841083de01b90f9e81109c9759e43ab"}, - {file = "wrapt-1.17.0-cp313-cp313t-win32.whl", hash = "sha256:a4192b45dff127c7d69b3bdfb4d3e47b64179a0b9900b6351859f3001397dabf"}, - {file = "wrapt-1.17.0-cp313-cp313t-win_amd64.whl", hash = "sha256:4f643df3d4419ea3f856c5c3f40fec1d65ea2e89ec812c83f7767c8730f9827a"}, - {file = "wrapt-1.17.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:69c40d4655e078ede067a7095544bcec5a963566e17503e75a3a3e0fe2803b13"}, - {file = "wrapt-1.17.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f495b6754358979379f84534f8dd7a43ff8cff2558dcdea4a148a6e713a758f"}, - {file = "wrapt-1.17.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:baa7ef4e0886a6f482e00d1d5bcd37c201b383f1d314643dfb0367169f94f04c"}, - {file = "wrapt-1.17.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8fc931382e56627ec4acb01e09ce66e5c03c384ca52606111cee50d931a342d"}, - {file = "wrapt-1.17.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:8f8909cdb9f1b237786c09a810e24ee5e15ef17019f7cecb207ce205b9b5fcce"}, - {file = "wrapt-1.17.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ad47b095f0bdc5585bced35bd088cbfe4177236c7df9984b3cc46b391cc60627"}, - {file = "wrapt-1.17.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:948a9bd0fb2c5120457b07e59c8d7210cbc8703243225dbd78f4dfc13c8d2d1f"}, - {file = "wrapt-1.17.0-cp38-cp38-win32.whl", hash = "sha256:5ae271862b2142f4bc687bdbfcc942e2473a89999a54231aa1c2c676e28f29ea"}, - {file = "wrapt-1.17.0-cp38-cp38-win_amd64.whl", hash = "sha256:f335579a1b485c834849e9075191c9898e0731af45705c2ebf70e0cd5d58beed"}, - {file = "wrapt-1.17.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d751300b94e35b6016d4b1e7d0e7bbc3b5e1751e2405ef908316c2a9024008a1"}, - {file = "wrapt-1.17.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7264cbb4a18dc4acfd73b63e4bcfec9c9802614572025bdd44d0721983fc1d9c"}, - {file = "wrapt-1.17.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:33539c6f5b96cf0b1105a0ff4cf5db9332e773bb521cc804a90e58dc49b10578"}, - {file = "wrapt-1.17.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c30970bdee1cad6a8da2044febd824ef6dc4cc0b19e39af3085c763fdec7de33"}, - {file = "wrapt-1.17.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:bc7f729a72b16ee21795a943f85c6244971724819819a41ddbaeb691b2dd85ad"}, - {file = "wrapt-1.17.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:6ff02a91c4fc9b6a94e1c9c20f62ea06a7e375f42fe57587f004d1078ac86ca9"}, - {file = "wrapt-1.17.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:2dfb7cff84e72e7bf975b06b4989477873dcf160b2fd89959c629535df53d4e0"}, - {file = "wrapt-1.17.0-cp39-cp39-win32.whl", hash = "sha256:2399408ac33ffd5b200480ee858baa58d77dd30e0dd0cab6a8a9547135f30a88"}, - {file = "wrapt-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:4f763a29ee6a20c529496a20a7bcb16a73de27f5da6a843249c7047daf135977"}, - {file = "wrapt-1.17.0-py3-none-any.whl", hash = "sha256:d2c63b93548eda58abf5188e505ffed0229bf675f7c3090f8e36ad55b8cbc371"}, - {file = "wrapt-1.17.0.tar.gz", hash = "sha256:16187aa2317c731170a88ef35e8937ae0f533c402872c1ee5e6d079fcf320801"}, + {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"}, + {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"}, + {file = "wrapt-1.17.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:80dd7db6a7cb57ffbc279c4394246414ec99537ae81ffd702443335a61dbf3a7"}, + {file = "wrapt-1.17.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a6e821770cf99cc586d33833b2ff32faebdbe886bd6322395606cf55153246c"}, + {file = "wrapt-1.17.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b60fb58b90c6d63779cb0c0c54eeb38941bae3ecf7a73c764c52c88c2dcb9d72"}, + {file = "wrapt-1.17.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b870b5df5b71d8c3359d21be8f0d6c485fa0ebdb6477dda51a1ea54a9b558061"}, + {file = "wrapt-1.17.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4011d137b9955791f9084749cba9a367c68d50ab8d11d64c50ba1688c9b457f2"}, + {file = "wrapt-1.17.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:1473400e5b2733e58b396a04eb7f35f541e1fb976d0c0724d0223dd607e0f74c"}, + {file = "wrapt-1.17.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:3cedbfa9c940fdad3e6e941db7138e26ce8aad38ab5fe9dcfadfed9db7a54e62"}, + {file = "wrapt-1.17.2-cp310-cp310-win32.whl", hash = "sha256:582530701bff1dec6779efa00c516496968edd851fba224fbd86e46cc6b73563"}, + {file = "wrapt-1.17.2-cp310-cp310-win_amd64.whl", hash = "sha256:58705da316756681ad3c9c73fd15499aa4d8c69f9fd38dc8a35e06c12468582f"}, + {file = "wrapt-1.17.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ff04ef6eec3eee8a5efef2401495967a916feaa353643defcc03fc74fe213b58"}, + {file = "wrapt-1.17.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4db983e7bca53819efdbd64590ee96c9213894272c776966ca6306b73e4affda"}, + {file = "wrapt-1.17.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9abc77a4ce4c6f2a3168ff34b1da9b0f311a8f1cfd694ec96b0603dff1c79438"}, + {file = "wrapt-1.17.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b929ac182f5ace000d459c59c2c9c33047e20e935f8e39371fa6e3b85d56f4a"}, + {file = "wrapt-1.17.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f09b286faeff3c750a879d336fb6d8713206fc97af3adc14def0cdd349df6000"}, + {file = "wrapt-1.17.2-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a7ed2d9d039bd41e889f6fb9364554052ca21ce823580f6a07c4ec245c1f5d6"}, + {file = "wrapt-1.17.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:129a150f5c445165ff941fc02ee27df65940fcb8a22a61828b1853c98763a64b"}, + {file = "wrapt-1.17.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1fb5699e4464afe5c7e65fa51d4f99e0b2eadcc176e4aa33600a3df7801d6662"}, + {file = "wrapt-1.17.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9a2bce789a5ea90e51a02dfcc39e31b7f1e662bc3317979aa7e5538e3a034f72"}, + {file = "wrapt-1.17.2-cp311-cp311-win32.whl", hash = "sha256:4afd5814270fdf6380616b321fd31435a462019d834f83c8611a0ce7484c7317"}, + {file = "wrapt-1.17.2-cp311-cp311-win_amd64.whl", hash = "sha256:acc130bc0375999da18e3d19e5a86403667ac0c4042a094fefb7eec8ebac7cf3"}, + {file = "wrapt-1.17.2-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:d5e2439eecc762cd85e7bd37161d4714aa03a33c5ba884e26c81559817ca0925"}, + {file = "wrapt-1.17.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:3fc7cb4c1c744f8c05cd5f9438a3caa6ab94ce8344e952d7c45a8ed59dd88392"}, + {file = "wrapt-1.17.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8fdbdb757d5390f7c675e558fd3186d590973244fab0c5fe63d373ade3e99d40"}, + {file = "wrapt-1.17.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bb1d0dbf99411f3d871deb6faa9aabb9d4e744d67dcaaa05399af89d847a91d"}, + {file = "wrapt-1.17.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d18a4865f46b8579d44e4fe1e2bcbc6472ad83d98e22a26c963d46e4c125ef0b"}, + {file = "wrapt-1.17.2-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc570b5f14a79734437cb7b0500376b6b791153314986074486e0b0fa8d71d98"}, + {file = "wrapt-1.17.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6d9187b01bebc3875bac9b087948a2bccefe464a7d8f627cf6e48b1bbae30f82"}, + {file = "wrapt-1.17.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:9e8659775f1adf02eb1e6f109751268e493c73716ca5761f8acb695e52a756ae"}, + {file = "wrapt-1.17.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e8b2816ebef96d83657b56306152a93909a83f23994f4b30ad4573b00bd11bb9"}, + {file = "wrapt-1.17.2-cp312-cp312-win32.whl", hash = "sha256:468090021f391fe0056ad3e807e3d9034e0fd01adcd3bdfba977b6fdf4213ea9"}, + {file = "wrapt-1.17.2-cp312-cp312-win_amd64.whl", hash = "sha256:ec89ed91f2fa8e3f52ae53cd3cf640d6feff92ba90d62236a81e4e563ac0e991"}, + {file = "wrapt-1.17.2-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:6ed6ffac43aecfe6d86ec5b74b06a5be33d5bb9243d055141e8cabb12aa08125"}, + {file = "wrapt-1.17.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:35621ae4c00e056adb0009f8e86e28eb4a41a4bfa8f9bfa9fca7d343fe94f998"}, + {file = "wrapt-1.17.2-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:a604bf7a053f8362d27eb9fefd2097f82600b856d5abe996d623babd067b1ab5"}, + {file = "wrapt-1.17.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5cbabee4f083b6b4cd282f5b817a867cf0b1028c54d445b7ec7cfe6505057cf8"}, + {file = "wrapt-1.17.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:49703ce2ddc220df165bd2962f8e03b84c89fee2d65e1c24a7defff6f988f4d6"}, + {file = "wrapt-1.17.2-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8112e52c5822fc4253f3901b676c55ddf288614dc7011634e2719718eaa187dc"}, + {file = "wrapt-1.17.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:9fee687dce376205d9a494e9c121e27183b2a3df18037f89d69bd7b35bcf59e2"}, + {file = "wrapt-1.17.2-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:18983c537e04d11cf027fbb60a1e8dfd5190e2b60cc27bc0808e653e7b218d1b"}, + {file = "wrapt-1.17.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:703919b1633412ab54bcf920ab388735832fdcb9f9a00ae49387f0fe67dad504"}, + {file = "wrapt-1.17.2-cp313-cp313-win32.whl", hash = "sha256:abbb9e76177c35d4e8568e58650aa6926040d6a9f6f03435b7a522bf1c487f9a"}, + {file = "wrapt-1.17.2-cp313-cp313-win_amd64.whl", hash = "sha256:69606d7bb691b50a4240ce6b22ebb319c1cfb164e5f6569835058196e0f3a845"}, + {file = "wrapt-1.17.2-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:4a721d3c943dae44f8e243b380cb645a709ba5bd35d3ad27bc2ed947e9c68192"}, + {file = "wrapt-1.17.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:766d8bbefcb9e00c3ac3b000d9acc51f1b399513f44d77dfe0eb026ad7c9a19b"}, + {file = "wrapt-1.17.2-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e496a8ce2c256da1eb98bd15803a79bee00fc351f5dfb9ea82594a3f058309e0"}, + {file = "wrapt-1.17.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d615e4fe22f4ad3528448c193b218e077656ca9ccb22ce2cb20db730f8d306"}, + {file = "wrapt-1.17.2-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a5aaeff38654462bc4b09023918b7f21790efb807f54c000a39d41d69cf552cb"}, + {file = "wrapt-1.17.2-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9a7d15bbd2bc99e92e39f49a04653062ee6085c0e18b3b7512a4f2fe91f2d681"}, + {file = "wrapt-1.17.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e3890b508a23299083e065f435a492b5435eba6e304a7114d2f919d400888cc6"}, + {file = "wrapt-1.17.2-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:8c8b293cd65ad716d13d8dd3624e42e5a19cc2a2f1acc74b30c2c13f15cb61a6"}, + {file = "wrapt-1.17.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:4c82b8785d98cdd9fed4cac84d765d234ed3251bd6afe34cb7ac523cb93e8b4f"}, + {file = "wrapt-1.17.2-cp313-cp313t-win32.whl", hash = "sha256:13e6afb7fe71fe7485a4550a8844cc9ffbe263c0f1a1eea569bc7091d4898555"}, + {file = "wrapt-1.17.2-cp313-cp313t-win_amd64.whl", hash = "sha256:eaf675418ed6b3b31c7a989fd007fa7c3be66ce14e5c3b27336383604c9da85c"}, + {file = "wrapt-1.17.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5c803c401ea1c1c18de70a06a6f79fcc9c5acfc79133e9869e730ad7f8ad8ef9"}, + {file = "wrapt-1.17.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f917c1180fdb8623c2b75a99192f4025e412597c50b2ac870f156de8fb101119"}, + {file = "wrapt-1.17.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ecc840861360ba9d176d413a5489b9a0aff6d6303d7e733e2c4623cfa26904a6"}, + {file = "wrapt-1.17.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb87745b2e6dc56361bfde481d5a378dc314b252a98d7dd19a651a3fa58f24a9"}, + {file = "wrapt-1.17.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58455b79ec2661c3600e65c0a716955adc2410f7383755d537584b0de41b1d8a"}, + {file = "wrapt-1.17.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4e42a40a5e164cbfdb7b386c966a588b1047558a990981ace551ed7e12ca9c2"}, + {file = "wrapt-1.17.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:91bd7d1773e64019f9288b7a5101f3ae50d3d8e6b1de7edee9c2ccc1d32f0c0a"}, + {file = "wrapt-1.17.2-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:bb90fb8bda722a1b9d48ac1e6c38f923ea757b3baf8ebd0c82e09c5c1a0e7a04"}, + {file = "wrapt-1.17.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:08e7ce672e35efa54c5024936e559469436f8b8096253404faeb54d2a878416f"}, + {file = "wrapt-1.17.2-cp38-cp38-win32.whl", hash = "sha256:410a92fefd2e0e10d26210e1dfb4a876ddaf8439ef60d6434f21ef8d87efc5b7"}, + {file = "wrapt-1.17.2-cp38-cp38-win_amd64.whl", hash = "sha256:95c658736ec15602da0ed73f312d410117723914a5c91a14ee4cdd72f1d790b3"}, + {file = "wrapt-1.17.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:99039fa9e6306880572915728d7f6c24a86ec57b0a83f6b2491e1d8ab0235b9a"}, + {file = "wrapt-1.17.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2696993ee1eebd20b8e4ee4356483c4cb696066ddc24bd70bcbb80fa56ff9061"}, + {file = "wrapt-1.17.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:612dff5db80beef9e649c6d803a8d50c409082f1fedc9dbcdfde2983b2025b82"}, + {file = "wrapt-1.17.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62c2caa1585c82b3f7a7ab56afef7b3602021d6da34fbc1cf234ff139fed3cd9"}, + {file = "wrapt-1.17.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c958bcfd59bacc2d0249dcfe575e71da54f9dcf4a8bdf89c4cb9a68a1170d73f"}, + {file = "wrapt-1.17.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc78a84e2dfbc27afe4b2bd7c80c8db9bca75cc5b85df52bfe634596a1da846b"}, + {file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba0f0eb61ef00ea10e00eb53a9129501f52385c44853dbd6c4ad3f403603083f"}, + {file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1e1fe0e6ab7775fd842bc39e86f6dcfc4507ab0ffe206093e76d61cde37225c8"}, + {file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c86563182421896d73858e08e1db93afdd2b947a70064b813d515d66549e15f9"}, + {file = "wrapt-1.17.2-cp39-cp39-win32.whl", hash = "sha256:f393cda562f79828f38a819f4788641ac7c4085f30f1ce1a68672baa686482bb"}, + {file = "wrapt-1.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:36ccae62f64235cf8ddb682073a60519426fdd4725524ae38874adf72b5f2aeb"}, + {file = "wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8"}, + {file = "wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3"}, ] [[package]] @@ -8488,13 +8765,13 @@ test = ["pytest", "pytest-cov"] [[package]] name = "xlsxwriter" -version = "3.2.0" +version = "3.2.1" description = "A Python module for creating Excel XLSX files." optional = true python-versions = ">=3.6" files = [ - {file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"}, - {file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"}, + {file = "XlsxWriter-3.2.1-py3-none-any.whl", hash = "sha256:7e8f7c60b7a1660ef791d46ab5de78469cb978b991ca841af61f5832d2f9f4fe"}, + {file = "XlsxWriter-3.2.1.tar.gz", hash = "sha256:97618759cb264fb6a93397f660cca156ffa9561743b1823dafb60dc4474e1902"}, ] [[package]] @@ -8631,13 +8908,13 @@ files = [ [[package]] name = "xyzservices" -version = "2024.9.0" +version = "2025.1.0" description = "Source of XYZ tiles providers" optional = false python-versions = ">=3.8" files = [ - {file = "xyzservices-2024.9.0-py3-none-any.whl", hash = "sha256:776ae82b78d6e5ca63dd6a94abb054df8130887a4a308473b54a6bd364de8644"}, - {file = "xyzservices-2024.9.0.tar.gz", hash = "sha256:68fb8353c9dbba4f1ff6c0f2e5e4e596bb9e1db7f94f4f7dfbcb26e25aa66fde"}, + {file = "xyzservices-2025.1.0-py3-none-any.whl", hash = "sha256:fa599956c5ab32dad1689960b3bb08fdcdbe0252cc82d84fc60ae415dc648907"}, + {file = "xyzservices-2025.1.0.tar.gz", hash = "sha256:5cdbb0907c20be1be066c6e2dc69c645842d1113a4e83e642065604a21f254ba"}, ] [[package]] @@ -8756,11 +9033,14 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", type = ["pytest-mypy"] [extras] +codegraph = ["jedi", "parso"] deepeval = ["deepeval"] docs = ["unstructured"] falkordb = ["falkordb"] filesystem = ["botocore"] +gemini = ["google-generativeai"] groq = ["groq"] +huggingface = ["transformers"] langchain = ["langchain_text_splitters", "langsmith"] llama-index = ["llama-index-core"] milvus = ["pymilvus"] @@ -8774,4 +9054,4 @@ weaviate = ["weaviate-client"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.13" -content-hash = "1ed3780936dd2a6f79fe11072f8d2cefec848fb27092b8bc523c7bbfd936b18e" +content-hash = "e0752df2545fd5048c0969acc7282fce8e034ec0abfabfe07785e7d34c44fc8b" diff --git a/pyproject.toml b/pyproject.toml index 446e807de..ed9396568 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "cognee" -version = "0.1.22" +version = "0.1.23" description = "Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning." authors = ["Vasilije Markovic", "Boris Arzentar"] readme = "README.md" @@ -20,10 +20,10 @@ classifiers = [ [tool.poetry.dependencies] python = ">=3.10.0,<3.13" openai = "1.59.4" -pydantic = "2.8.2" +pydantic = "2.10.5" python-dotenv = "1.0.1" -fastapi = ">=0.109.2,<0.116.0" -uvicorn = "0.22.0" +fastapi = "0.115.7" +uvicorn = "0.34.0" requests = "2.32.3" aiohttp = "3.10.10" typing_extensions = "4.12.2" @@ -40,7 +40,6 @@ networkx = "^3.2.1" aiosqlite = "^0.20.0" pandas = "2.2.3" filetype = "^1.2.0" -nltk = "^3.8.1" dlt = {extras = ["sqlalchemy"], version = "^1.4.1"} aiofiles = "^23.2.1" qdrant-client = {version = "^1.9.0", optional = true} @@ -64,22 +63,23 @@ langfuse = "^2.32.0" pydantic-settings = "^2.2.1" anthropic = "^0.26.1" sentry-sdk = {extras = ["fastapi"], version = "^2.9.0"} -fastapi-users = {version = "*", extras = ["sqlalchemy"]} +fastapi-users = {version = "14.0.0", extras = ["sqlalchemy"]} alembic = "^1.13.3" asyncpg = {version = "0.30.0", optional = true} pgvector = {version = "^0.3.5", optional = true} psycopg2 = {version = "^2.9.10", optional = true} -llama-index-core = {version = "^0.12.10.post1", optional = true} +llama-index-core = {version = "^0.12.11", optional = true} deepeval = {version = "^2.0.1", optional = true} -transformers = "^4.46.3" +transformers = {version = "^4.46.3", optional = true} pymilvus = {version = "^2.5.0", optional = true} -unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.10", optional = true } +unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.13", optional = true } pre-commit = "^4.0.1" httpx = "0.27.0" bokeh="^3.6.2" - - - +nltk = "3.9.1" +google-generativeai = {version = "^0.8.4", optional = true} +parso = {version = "^0.8.4", optional = true} +jedi = {version = "^0.19.2", optional = true} [tool.poetry.extras] @@ -91,12 +91,15 @@ postgres = ["psycopg2", "pgvector", "asyncpg"] notebook = ["notebook", "ipykernel", "overrides", "ipywidgets", "jupyterlab", "jupyterlab_widgets", "jupyterlab-server", "jupyterlab-git"] langchain = ["langsmith", "langchain_text_splitters"] llama-index = ["llama-index-core"] +gemini = ["google-generativeai"] +huggingface = ["transformers"] deepeval = ["deepeval"] posthog = ["posthog"] falkordb = ["falkordb"] groq = ["groq"] milvus = ["pymilvus"] docs = ["unstructured"] +codegraph = ["parso", "jedi"] [tool.poetry.group.dev.dependencies] pytest = "^7.4.0" @@ -107,7 +110,7 @@ notebook = {version = "^7.1.0", optional = true} deptry = "^0.20.0" debugpy = "1.8.9" pylint = "^3.0.3" -ruff = ">=0.2.2,<0.9.0" +ruff = ">=0.9.2,<1.0.0" tweepy = "4.14.0" gitpython = "^3.1.43" pylance = "0.19.2"