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https://github.com/NousResearch/atropos.git
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247 lines
No EOL
4.4 KiB
Text
247 lines
No EOL
4.4 KiB
Text
# This file was autogenerated by uv via the following command:
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# uv pip compile pyproject.toml -o requirements.txt
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aiohappyeyeballs==2.4.6
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# via aiohttp
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aiohttp==3.11.12
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# via
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# datasets
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# fsspec
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# instructor
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# litellm
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aiosignal==1.3.2
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# via aiohttp
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annotated-types==0.7.0
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# via pydantic
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anyio==4.8.0
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# via
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# httpx
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# openai
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async-timeout==5.0.1
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# via aiohttp
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attrs==25.1.0
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# via
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# aiohttp
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# jsonschema
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# referencing
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certifi==2025.1.31
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# via
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# httpcore
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# httpx
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# requests
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charset-normalizer==3.4.1
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# via requests
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click==8.1.8
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# via
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# litellm
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# typer
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datasets==2.2.1
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# via verdict (pyproject.toml)
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dill==0.3.9
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# via
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# verdict (pyproject.toml)
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# datasets
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# multiprocess
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distro==1.9.0
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# via openai
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docstring-parser==0.16
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# via instructor
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eval-type-backport==0.2.2
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# via verdict (pyproject.toml)
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exceptiongroup==1.2.2
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# via anyio
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filelock==3.17.0
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# via huggingface-hub
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frozenlist==1.5.0
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# via
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# aiohttp
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# aiosignal
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fsspec==2025.2.0
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# via
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# datasets
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# huggingface-hub
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graphviz==0.20.3
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# via verdict (pyproject.toml)
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h11==0.14.0
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# via httpcore
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httpcore==1.0.7
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# via httpx
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httpx==0.28.1
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# via
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# litellm
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# openai
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huggingface-hub==0.28.1
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# via
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# datasets
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# tokenizers
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idna==3.10
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# via
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# anyio
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# httpx
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# requests
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# yarl
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importlib-metadata==8.6.1
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# via litellm
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instructor==1.7.2
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# via verdict (pyproject.toml)
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jinja2==3.1.5
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# via
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# instructor
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# litellm
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jiter==0.8.2
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# via
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# instructor
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# openai
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joblib==1.4.2
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# via scikit-learn
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jsonschema==4.23.0
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# via litellm
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jsonschema-specifications==2024.10.1
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# via jsonschema
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krippendorff==0.8.1
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# via verdict (pyproject.toml)
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litellm==1.61.9
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# via verdict (pyproject.toml)
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loguru==0.7.3
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# via verdict (pyproject.toml)
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markdown-it-py==3.0.0
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# via rich
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markupsafe==3.0.2
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# via jinja2
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mdurl==0.1.2
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# via markdown-it-py
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multidict==6.1.0
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# via
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# aiohttp
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# yarl
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multiprocess==0.70.17
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# via datasets
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networkx==3.2.1
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# via verdict (pyproject.toml)
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numpy==2.0.2
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# via
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# verdict (pyproject.toml)
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# datasets
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# krippendorff
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# pandas
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# scikit-learn
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# scipy
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openai==1.63.2
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# via
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# verdict (pyproject.toml)
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# instructor
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# litellm
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packaging==24.2
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# via
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# datasets
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# huggingface-hub
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pandas==2.2.3
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# via
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# verdict (pyproject.toml)
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# datasets
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pillow==11.1.0
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# via verdict (pyproject.toml)
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propcache==0.2.1
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# via
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# aiohttp
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# yarl
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pyarrow==19.0.1
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# via datasets
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pydantic==2.10.6
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# via
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# verdict (pyproject.toml)
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# instructor
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# litellm
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# openai
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pydantic-core==2.27.2
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# via
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# instructor
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# pydantic
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pygments==2.19.1
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# via rich
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python-dateutil==2.9.0.post0
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# via pandas
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python-dotenv==1.0.1
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# via litellm
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pytz==2025.1
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# via pandas
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pyyaml==6.0.2
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# via huggingface-hub
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referencing==0.36.2
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# via
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# jsonschema
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# jsonschema-specifications
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regex==2024.11.6
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# via tiktoken
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requests==2.32.3
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# via
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# datasets
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# huggingface-hub
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# instructor
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# responses
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# tiktoken
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responses==0.18.0
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# via datasets
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rich==13.9.4
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# via
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# verdict (pyproject.toml)
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# instructor
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# typer
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rpds-py==0.22.3
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# via
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# jsonschema
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# referencing
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scikit-learn==1.6.1
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# via verdict (pyproject.toml)
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scipy==1.13.1
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# via
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# verdict (pyproject.toml)
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# scikit-learn
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shellingham==1.5.4
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# via typer
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six==1.17.0
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# via python-dateutil
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sniffio==1.3.1
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# via
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# anyio
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# openai
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tenacity==9.0.0
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# via instructor
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threadpoolctl==3.5.0
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# via scikit-learn
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tiktoken==0.9.0
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# via litellm
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tokenizers==0.21.0
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# via
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# verdict (pyproject.toml)
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# litellm
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tqdm==4.67.1
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# via
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# datasets
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# huggingface-hub
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# openai
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typer==0.15.1
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# via instructor
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typing-extensions==4.12.2
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# via
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# verdict (pyproject.toml)
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# anyio
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# huggingface-hub
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# multidict
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# openai
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# pydantic
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# pydantic-core
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# referencing
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# rich
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# typer
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tzdata==2025.1
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# via pandas
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urllib3==2.3.0
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# via
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# requests
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# responses
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xxhash==3.5.0
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# via datasets
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yarl==1.18.3
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# via aiohttp
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zipp==3.21.0
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# via importlib-metadata |