fix: remove dspy dependency
This commit is contained in:
Boris Arzentar
parent
119fdcc359
commit
eac6ffac1a
4 changed files with 3 additions and 437 deletions
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@ -1,24 +1,4 @@
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import asyncio
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import logging
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from cognee.root_dir import get_absolute_path
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from .extract_knowledge_graph_module import ExtractKnowledgeGraph
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from .extract_content_graph import extract_content_graph
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logger = logging.getLogger("extract_knowledge_graph(text: str)")
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async def extract_knowledge_graph(text: str, cognitive_layer, graph_model):
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try:
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compiled_extract_knowledge_graph = ExtractKnowledgeGraph()
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compiled_extract_knowledge_graph.load(get_absolute_path("./programs/extract_knowledge_graph/extract_knowledge_graph.json"))
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event_loop = asyncio.get_event_loop()
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def sync_extract_knowledge_graph():
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return compiled_extract_knowledge_graph(context = text, question = "")
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return (await event_loop.run_in_executor(None, sync_extract_knowledge_graph)).graph
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# return compiled_extract_knowledge_graph(text, question = "").graph
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except Exception as error:
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# TODO: Log error to Sentry
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return await extract_content_graph(text, cognitive_layer, graph_model)
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return await extract_content_graph(text, cognitive_layer, graph_model)
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@ -1,8 +1,7 @@
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from cognee.infrastructure.databases.graph.get_graph_client import get_graph_client
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from cognee.infrastructure.databases.graph.config import get_graph_config
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from cognee.infrastructure.databases.vector import get_vector_engine
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async def search_similarity(query: str, graph):
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async def search_similarity(query: str, graph): # graph must be there in order to be compatible with generic call
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# graph_config = get_graph_config()
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#
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# graph_db_type = graph_config.graph_engine
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414
poetry.lock
generated
414
poetry.lock
generated
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@ -139,25 +139,6 @@ typing_extensions = ">=4.0"
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dev = ["attribution (==1.7.0)", "black (==24.2.0)", "coverage[toml] (==7.4.1)", "flake8 (==7.0.0)", "flake8-bugbear (==24.2.6)", "flit (==3.9.0)", "mypy (==1.8.0)", "ufmt (==2.3.0)", "usort (==1.0.8.post1)"]
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docs = ["sphinx (==7.2.6)", "sphinx-mdinclude (==0.5.3)"]
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[[package]]
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name = "alembic"
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version = "1.13.1"
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description = "A database migration tool for SQLAlchemy."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
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{file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"},
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]
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[package.dependencies]
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Mako = "*"
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SQLAlchemy = ">=1.3.0"
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typing-extensions = ">=4"
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[package.extras]
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tz = ["backports.zoneinfo"]
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[[package]]
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name = "annotated-types"
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version = "0.7.0"
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@ -904,23 +885,6 @@ humanfriendly = ">=9.1"
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[package.extras]
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cron = ["capturer (>=2.4)"]
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[[package]]
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name = "colorlog"
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version = "6.8.2"
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description = "Add colours to the output of Python's logging module."
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "colorlog-6.8.2-py3-none-any.whl", hash = "sha256:4dcbb62368e2800cb3c5abd348da7e53f6c362dda502ec27c560b2e58a66bd33"},
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{file = "colorlog-6.8.2.tar.gz", hash = "sha256:3e3e079a41feb5a1b64f978b5ea4f46040a94f11f0e8bbb8261e3dbbeca64d44"},
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]
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[package.dependencies]
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colorama = {version = "*", markers = "sys_platform == \"win32\""}
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[package.extras]
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development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
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[[package]]
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name = "comm"
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version = "0.2.2"
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@ -1220,49 +1184,6 @@ files = [
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{file = "cymem-2.0.8.tar.gz", hash = "sha256:8fb09d222e21dcf1c7e907dc85cf74501d4cea6c4ed4ac6c9e016f98fb59cbbf"},
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]
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[[package]]
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name = "datasets"
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version = "2.14.7"
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description = "HuggingFace community-driven open-source library of datasets"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "datasets-2.14.7-py3-none-any.whl", hash = "sha256:1a64041a7da4f4130f736fc371c1f528b8ddd208cebe156400f65719bdbba79d"},
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{file = "datasets-2.14.7.tar.gz", hash = "sha256:394cf9b4ec0694b25945977b16ad5d18d5c15fb0e94141713eb8ead7452caf9e"},
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]
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[package.dependencies]
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aiohttp = "*"
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dill = ">=0.3.0,<0.3.8"
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fsspec = {version = ">=2023.1.0,<=2023.10.0", extras = ["http"]}
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huggingface-hub = ">=0.14.0,<1.0.0"
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multiprocess = "*"
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numpy = ">=1.17"
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packaging = "*"
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pandas = "*"
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pyarrow = ">=8.0.0"
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pyarrow-hotfix = "*"
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pyyaml = ">=5.1"
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requests = ">=2.19.0"
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tqdm = ">=4.62.1"
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xxhash = "*"
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[package.extras]
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apache-beam = ["apache-beam (>=2.26.0,<2.44.0)"]
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audio = ["librosa", "soundfile (>=0.12.1)"]
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benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
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dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
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docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
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jax = ["jax (>=0.2.8,!=0.3.2,<=0.3.25)", "jaxlib (>=0.1.65,<=0.3.25)"]
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metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
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quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
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s3 = ["s3fs"]
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tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
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tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
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tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
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torch = ["torch"]
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vision = ["Pillow (>=6.2.1)"]
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[[package]]
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name = "debugpy"
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version = "1.8.1"
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@ -1439,46 +1360,6 @@ files = [
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{file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"},
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]
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[[package]]
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name = "dspy-ai"
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version = "2.4.9"
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description = "DSPy"
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "dspy-ai-2.4.9.tar.gz", hash = "sha256:5cf5dc30e976b244477851ca538133678330efeb60a54a79e0c94e9067d11d1a"},
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{file = "dspy_ai-2.4.9-py3-none-any.whl", hash = "sha256:945f2a3110cfa9ac99ad5d326ae284fac619765ac7e2a35ca44873aed397eba1"},
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]
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[package.dependencies]
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backoff = ">=2.2.1,<2.3.0"
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datasets = ">=2.14.6,<2.15.0"
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joblib = ">=1.3.2,<1.4.0"
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openai = ">=0.28.1,<2.0.0"
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optuna = "*"
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pandas = "*"
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pydantic = ">=2.0,<3.0"
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regex = "*"
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requests = "*"
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structlog = "*"
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tqdm = "*"
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ujson = "*"
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[package.extras]
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anthropic = ["anthropic (>=0.18.0,<0.19.0)"]
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aws = ["boto3 (>=1.34.78,<1.35.0)"]
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chromadb = ["chromadb (>=0.4.14,<0.5.0)"]
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dev = ["pytest (>=6.2.5)"]
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docs = ["autodoc-pydantic", "docutils (<0.17)", "furo (>=2023.3.27)", "m2r2", "myst-nb", "myst-parser", "sphinx (>=4.3.0)", "sphinx-autobuild", "sphinx-automodapi (==0.16.0)", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-theme"]
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faiss-cpu = ["faiss-cpu", "sentence-transformers"]
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google-vertex-ai = ["google-cloud-aiplatform (==1.43.0)"]
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marqo = ["marqo", "marqo (>=3.1.0,<3.2.0)"]
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milvus = ["pymilvus (>=2.3.7,<2.4.0)"]
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mongodb = ["pymongo (>=3.12.0,<3.13.0)"]
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pinecone = ["pinecone-client (>=2.2.4,<2.3.0)"]
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qdrant = ["fastembed", "fastembed (>=0.1.0)", "qdrant-client", "qdrant-client (>=1.6.2)"]
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weaviate = ["weaviate-client (>=3.26.1,<3.27.0)", "weaviate-client (>=4.5.4,<4.6.0)"]
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[[package]]
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name = "duckdb"
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version = "0.10.3"
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@ -1844,10 +1725,6 @@ files = [
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{file = "fsspec-2023.10.0.tar.gz", hash = "sha256:330c66757591df346ad3091a53bd907e15348c2ba17d63fd54f5c39c4457d2a5"},
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]
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[package.dependencies]
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aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
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requests = {version = "*", optional = true, markers = "extra == \"http\""}
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[package.extras]
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abfs = ["adlfs"]
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adl = ["adlfs"]
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@ -3386,25 +3263,6 @@ files = [
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{file = "makefun-1.15.2.tar.gz", hash = "sha256:16f2a2b34d9ee0c2b578c960a1808c974e2822cf79f6e9b9c455aace10882d45"},
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]
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[[package]]
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name = "mako"
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version = "1.3.5"
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description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
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{file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
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]
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[package.dependencies]
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MarkupSafe = ">=0.9.2"
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[package.extras]
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babel = ["Babel"]
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lingua = ["lingua"]
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testing = ["pytest"]
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[[package]]
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name = "marisa-trie"
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version = "1.2.0"
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@ -4076,34 +3934,6 @@ files = [
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{file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
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]
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[[package]]
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name = "multiprocess"
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version = "0.70.15"
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description = "better multiprocessing and multithreading in Python"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "multiprocess-0.70.15-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:aa36c7ed16f508091438687fe9baa393a7a8e206731d321e443745e743a0d4e5"},
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{file = "multiprocess-0.70.15-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:20e024018c46d0d1602024c613007ac948f9754659e3853b0aa705e83f6931d8"},
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{file = "multiprocess-0.70.15-pp37-pypy37_pp73-manylinux_2_24_i686.whl", hash = "sha256:e576062981c91f0fe8a463c3d52506e598dfc51320a8dd8d78b987dfca91c5db"},
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{file = "multiprocess-0.70.15-pp37-pypy37_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:e73f497e6696a0f5433ada2b3d599ae733b87a6e8b008e387c62ac9127add177"},
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{file = "multiprocess-0.70.15-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:73db2e7b32dcc7f9b0f075c2ffa45c90b6729d3f1805f27e88534c8d321a1be5"},
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{file = "multiprocess-0.70.15-pp38-pypy38_pp73-manylinux_2_24_i686.whl", hash = "sha256:4271647bd8a49c28ecd6eb56a7fdbd3c212c45529ad5303b40b3c65fc6928e5f"},
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{file = "multiprocess-0.70.15-pp38-pypy38_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:cf981fb998d6ec3208cb14f0cf2e9e80216e834f5d51fd09ebc937c32b960902"},
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{file = "multiprocess-0.70.15-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:18f9f2c7063346d1617bd1684fdcae8d33380ae96b99427260f562e1a1228b67"},
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{file = "multiprocess-0.70.15-pp39-pypy39_pp73-manylinux_2_24_i686.whl", hash = "sha256:0eac53214d664c49a34695e5824872db4006b1a465edd7459a251809c3773370"},
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{file = "multiprocess-0.70.15-pp39-pypy39_pp73-manylinux_2_24_x86_64.whl", hash = "sha256:1a51dd34096db47fb21fa2b839e615b051d51b97af9a67afbcdaa67186b44883"},
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{file = "multiprocess-0.70.15-py310-none-any.whl", hash = "sha256:7dd58e33235e83cf09d625e55cffd7b0f0eede7ee9223cdd666a87624f60c21a"},
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{file = "multiprocess-0.70.15-py311-none-any.whl", hash = "sha256:134f89053d82c9ed3b73edd3a2531eb791e602d4f4156fc92a79259590bd9670"},
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{file = "multiprocess-0.70.15-py37-none-any.whl", hash = "sha256:f7d4a1629bccb433114c3b4885f69eccc200994323c80f6feee73b0edc9199c5"},
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{file = "multiprocess-0.70.15-py38-none-any.whl", hash = "sha256:bee9afba476c91f9ebee7beeee0601face9eff67d822e893f9a893725fbd6316"},
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{file = "multiprocess-0.70.15-py39-none-any.whl", hash = "sha256:3e0953f5d52b4c76f1c973eaf8214554d146f2be5decb48e928e55c7a2d19338"},
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{file = "multiprocess-0.70.15.tar.gz", hash = "sha256:f20eed3036c0ef477b07a4177cf7c1ba520d9a2677870a4f47fe026f0cd6787e"},
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]
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[package.dependencies]
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dill = ">=0.3.7"
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[[package]]
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name = "murmurhash"
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version = "1.0.10"
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@ -4549,33 +4379,6 @@ typing-extensions = ">=4.7,<5"
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[package.extras]
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datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
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[[package]]
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name = "optuna"
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version = "3.6.1"
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description = "A hyperparameter optimization framework"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "optuna-3.6.1-py3-none-any.whl", hash = "sha256:b32e0490bd6552790b70ec94de77dd2855057c9e229cd9f4da48fe8a31c7f1cc"},
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{file = "optuna-3.6.1.tar.gz", hash = "sha256:146e530b57b4b9afd7526b3e642fbe65491f7e292b405913355f8e438e361ecf"},
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]
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[package.dependencies]
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alembic = ">=1.5.0"
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colorlog = "*"
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numpy = "*"
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packaging = ">=20.0"
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PyYAML = "*"
|
||||
sqlalchemy = ">=1.3.0"
|
||||
tqdm = "*"
|
||||
|
||||
[package.extras]
|
||||
benchmark = ["asv (>=0.5.0)", "botorch", "cma", "virtualenv"]
|
||||
checking = ["black", "blackdoc", "flake8", "isort", "mypy", "mypy-boto3-s3", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing-extensions (>=3.10.0.0)"]
|
||||
document = ["ase", "cmaes (>=0.10.0)", "fvcore", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-plotly-directive", "sphinx-rtd-theme (>=1.2.0)", "torch", "torchvision"]
|
||||
optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"]
|
||||
test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"]
|
||||
|
||||
[[package]]
|
||||
name = "orjson"
|
||||
version = "3.9.10"
|
||||
|
|
@ -5286,17 +5089,6 @@ files = [
|
|||
[package.dependencies]
|
||||
numpy = ">=1.16.6,<2"
|
||||
|
||||
[[package]]
|
||||
name = "pyarrow-hotfix"
|
||||
version = "0.6"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
files = [
|
||||
{file = "pyarrow_hotfix-0.6-py3-none-any.whl", hash = "sha256:dcc9ae2d220dff0083be6a9aa8e0cdee5182ad358d4931fce825c545e5c89178"},
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pycparser"
|
||||
version = "2.22"
|
||||
|
|
@ -7629,93 +7421,6 @@ files = [
|
|||
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
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]
|
||||
|
||||
[[package]]
|
||||
name = "ujson"
|
||||
version = "5.10.0"
|
||||
description = "Ultra fast JSON encoder and decoder for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
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files = [
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{file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:543c7fcbc02bbb4840ea9915134e14dc3dc15cbd5a30873a7a5bf66039db97ec"},
|
||||
{file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182"},
|
||||
{file = "xxhash-3.4.1-cp39-cp39-win32.whl", hash = "sha256:b9097af00ebf429cc7c0e7d2fdf28384e4e2e91008130ccda8d5ae653db71e54"},
|
||||
{file = "xxhash-3.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:d699b921af0dcde50ab18be76c0d832f803034d80470703700cb7df0fbec2832"},
|
||||
{file = "xxhash-3.4.1-cp39-cp39-win_arm64.whl", hash = "sha256:2be491723405e15cc099ade1280133ccfbf6322d2ef568494fb7d07d280e7eee"},
|
||||
{file = "xxhash-3.4.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:431625fad7ab5649368c4849d2b49a83dc711b1f20e1f7f04955aab86cd307bc"},
|
||||
{file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc6dbd5fc3c9886a9e041848508b7fb65fd82f94cc793253990f81617b61fe49"},
|
||||
{file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3ff8dbd0ec97aec842476cb8ccc3e17dd288cd6ce3c8ef38bff83d6eb927817"},
|
||||
{file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef73a53fe90558a4096e3256752268a8bdc0322f4692ed928b6cd7ce06ad4fe3"},
|
||||
{file = "xxhash-3.4.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:450401f42bbd274b519d3d8dcf3c57166913381a3d2664d6609004685039f9d3"},
|
||||
{file = "xxhash-3.4.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a162840cf4de8a7cd8720ff3b4417fbc10001eefdd2d21541a8226bb5556e3bb"},
|
||||
{file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b736a2a2728ba45017cb67785e03125a79d246462dfa892d023b827007412c52"},
|
||||
{file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d0ae4c2e7698adef58710d6e7a32ff518b66b98854b1c68e70eee504ad061d8"},
|
||||
{file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6322c4291c3ff174dcd104fae41500e75dad12be6f3085d119c2c8a80956c51"},
|
||||
{file = "xxhash-3.4.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:dd59ed668801c3fae282f8f4edadf6dc7784db6d18139b584b6d9677ddde1b6b"},
|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:92693c487e39523a80474b0394645b393f0ae781d8db3474ccdcead0559ccf45"},
|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4603a0f642a1e8d7f3ba5c4c25509aca6a9c1cc16f85091004a7028607ead663"},
|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6"},
|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6"},
|
||||
{file = "xxhash-3.4.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c"},
|
||||
{file = "xxhash-3.4.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03"},
|
||||
{file = "xxhash-3.4.1.tar.gz", hash = "sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "yarl"
|
||||
version = "1.9.4"
|
||||
|
|
@ -8323,4 +7911,4 @@ weaviate = ["weaviate-client"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9.0,<3.12"
|
||||
content-hash = "3e894bd32ee1d47a344ad4325731c064271b687b1f6af3c820436dc27f9d06a1"
|
||||
content-hash = "7411f701a2e30a891bf53b215179e343114e95eb5538d45e64fbc46a0ec6b9f0"
|
||||
|
|
|
|||
|
|
@ -56,7 +56,6 @@ matplotlib = "^3.8.3"
|
|||
nest-asyncio = "^1.6.0"
|
||||
structlog = "^24.1.0"
|
||||
tiktoken = "0.7.0"
|
||||
dspy-ai = "2.4.9"
|
||||
posthog = "^3.5.0"
|
||||
lancedb = "0.8.0"
|
||||
importlib-metadata = "7.1.0"
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue