in-context-impersonation

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# reasons you might want to use `environment.yaml` instead of `requirements.txt`:
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# - pip installs packages in a loop, without ensuring dependencies across all packages
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#   are fulfilled simultaneously, but conda achieves proper dependency control across
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#   all packages
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# - conda allows for installing packages without requiring certain compilers or
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#   libraries to be available in the system, since it installs precompiled binaries
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name: characters11
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channels:
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  - nvidia
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  - pytorch
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  - conda-forge
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  - defaults
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# it is strongly recommended to specify versions of packages installed through conda
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# to avoid situation when version-unspecified packages install their latest major
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# versions which can sometimes break things
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# current approach below keeps the dependencies in the same major versions across all
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# users, but allows for different minor and patch versions of packages where backwards
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# compatibility is usually guaranteed
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dependencies:
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  - mamba=1.*
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  - pytorch=2.*
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  - torchvision=0.*
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  - pytorch-cuda=11.8.*
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  - lightning=2.*
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  - torchmetrics=0.*
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  - hydra-core=1.*
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  - rich=13.*
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  - pre-commit=3.*
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  - pytest=7.*
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  - pytest-xdist=3.*
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  # --------- loggers --------- #
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  - wandb=0.*
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  # - neptune-client
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  # - mlflow
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  # - comet-ml
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  # --------- code health --------- #
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  - black=23.*
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  - icontract=2.*
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  - mypy=1.*
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  - rope=1.*
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  # --------- libraries --------- #
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  - openai=0.*
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  - pandas=2.*
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  - seaborn=0.*
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  - spacy=3.*
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  - transformers=4.*
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  - textstat==0.*
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  - tqdm=4.*
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  - pip>=23
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  - pip:
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      - bitsandbytes==0.*
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      - farrow-and-ball==0.*
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      - fschat==0.2.23
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      - google-cloud-aiplatform>=1.26.1
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      - hydra-optuna-sweeper==1.*
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      - hydra-colorlog==1.*
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      - hydra-submitit-launcher==1.*
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      - git+https://github.com/Lightning-AI/lit-llama.git
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      - langchain==0.*
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      - pyrootutils==1.*
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      - sentence_transformers==2.*
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      - slurm-gpustat==0.*
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      - gymnasium==0.*
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