# This file was autogenerated by uv via the following command:
#    uv export --no-hashes --group dev
-e .
accelerate==1.4.0
    # via transformer-lens
aiohappyeyeballs==2.4.6
    # via aiohttp
aiohttp==3.11.13
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.2
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
appnope==0.1.4 ; sys_platform == 'darwin'
    # via ipykernel
asttokens==3.0.0
    # via stack-data
attrs==25.1.0
    # via
    #   aiohttp
    #   igittigitt
    #   jsonschema
    #   referencing
backports-tarfile==1.2.0 ; python_full_version < '3.12' and platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via jaraco-context
beartype==0.14.1
    # via
    #   pattern-lens
    #   transformer-lens
beautifulsoup4==4.13.3
    # via nbconvert
better-abc==0.0.3
    # via transformer-lens
bleach==6.2.0
    # via nbconvert
bracex==2.5.post1
    # via wcmatch
certifi==2025.1.31
    # via
    #   requests
    #   sentry-sdk
cffi==1.17.1 ; (implementation_name == 'pypy' and platform_machine == 'ppc64le') or (implementation_name == 'pypy' and platform_machine == 's390x') or (implementation_name == 'pypy' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_python_implementation == 'PyPy') or (implementation_name == 'pypy' and sys_platform != 'linux') or (platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_python_implementation != 'PyPy' and sys_platform == 'linux')
    # via
    #   cryptography
    #   pyzmq
charset-normalizer==3.4.1
    # via requests
cli-exit-tools==1.2.7
    # via igittigitt
click==8.1.8
    # via
    #   cli-exit-tools
    #   igittigitt
    #   wandb
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   click
    #   ipython
    #   pytest
    #   tqdm
comm==0.2.2
    # via
    #   ipykernel
    #   ipywidgets
contourpy==1.3.1
    # via matplotlib
coverage==7.6.12
    # via
    #   coverage-badge
    #   pytest-cov
coverage-badge==1.1.2
cryptography==44.0.2 ; platform_machine != 'ppc64le' and platform_machine != 's390x' and sys_platform == 'linux'
    # via secretstorage
cycler==0.12.1
    # via matplotlib
datasets==3.3.2
    # via transformer-lens
debugpy==1.8.12
    # via ipykernel
decorator==5.2.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
docker-pycreds==0.4.0
    # via wandb
docutils==0.21.2
    # via readme-renderer
einops==0.8.1
    # via transformer-lens
executing==2.2.0
    # via stack-data
fancy-einsum==0.0.3
    # via transformer-lens
fastjsonschema==2.21.1
    # via nbformat
filelock==3.17.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
fonttools==4.56.0
    # via matplotlib
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2024.12.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
gitdb==4.0.12
    # via gitpython
gitpython==3.1.44
    # via wandb
huggingface-hub==0.29.1
    # via
    #   accelerate
    #   datasets
    #   tokenizers
    #   transformers
id==1.5.0
    # via twine
idna==3.10
    # via
    #   requests
    #   yarl
igittigitt==2.1.5
    # via lmcat
importlib-metadata==8.6.1 ; python_full_version < '3.12' and platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
iniconfig==2.0.0
    # via pytest
ipykernel==6.29.5
    # via pattern-lens
ipython==9.0.0
    # via
    #   ipykernel
    #   ipywidgets
ipython-pygments-lexers==1.1.1
    # via ipython
ipywidgets==8.1.5
    # via pattern-lens
jaraco-classes==3.4.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
jaraco-context==6.0.1 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
jaraco-functools==4.1.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
jaxtyping==0.2.38
    # via
    #   muutils
    #   pattern-lens
    #   transformer-lens
jedi==0.19.2
    # via ipython
jeepney==0.9.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x' and sys_platform == 'linux'
    # via
    #   keyring
    #   secretstorage
jinja2==3.1.5
    # via
    #   nbconvert
    #   pdoc
    #   torch
jsonschema==4.23.0
    # via nbformat
jsonschema-specifications==2024.10.1
    # via jsonschema
jupyter-client==8.6.3
    # via
    #   ipykernel
    #   nbclient
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
    #   nbclient
    #   nbconvert
    #   nbformat
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-widgets==3.0.13
    # via ipywidgets
keyring==25.6.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via twine
kiwisolver==1.4.8
    # via matplotlib
lib-detect-testenv==2.0.8
    # via
    #   cli-exit-tools
    #   igittigitt
lmcat==0.2.0
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via
    #   jinja2
    #   nbconvert
    #   pdoc
matplotlib==3.10.1
    # via pattern-lens
matplotlib-inline==0.1.7
    # via
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.1.2
    # via nbconvert
more-itertools==10.6.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via
    #   jaraco-classes
    #   jaraco-functools
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
muutils==0.8.3
    # via
    #   lmcat
    #   pattern-lens
    #   zanj
mypy==1.15.0
mypy-extensions==1.0.0
    # via mypy
nbclient==0.10.2
    # via nbconvert
nbconvert==7.16.6
nbformat==5.10.4
    # via
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.4.2
    # via torch
nh3==0.2.21
    # via readme-renderer
numpy==1.26.4
    # via
    #   accelerate
    #   contourpy
    #   datasets
    #   matplotlib
    #   muutils
    #   pandas
    #   pattern-lens
    #   scipy
    #   transformer-lens
    #   transformers
    #   zanj
nvidia-cublas-cu12==12.4.5.8 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-nvrtc-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-runtime-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cufft-cu12==11.2.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-curand-cu12==10.3.5.147 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusolver-cu12==11.6.1.9 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusparse-cu12==12.3.1.170 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.6.2 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nccl-cu12==2.21.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nvjitlink-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
packaging==24.2
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   ipykernel
    #   matplotlib
    #   nbconvert
    #   pytest
    #   transformers
    #   twine
pandas==2.2.3
    # via
    #   datasets
    #   pattern-lens
    #   transformer-lens
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pdoc==15.0.1
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via ipython
pillow==11.1.0
    # via
    #   matplotlib
    #   pattern-lens
platformdirs==4.3.6
    # via
    #   jupyter-core
    #   wandb
pluggy==1.5.0
    # via pytest
prompt-toolkit==3.0.50
    # via ipython
propcache==0.3.0
    # via
    #   aiohttp
    #   yarl
protobuf==5.29.3
    # via wandb
psutil==7.0.0
    # via
    #   accelerate
    #   ipykernel
    #   wandb
ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==19.0.1
    # via datasets
pycparser==2.22 ; (implementation_name == 'pypy' and platform_machine == 'ppc64le') or (implementation_name == 'pypy' and platform_machine == 's390x') or (implementation_name == 'pypy' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_python_implementation == 'PyPy') or (implementation_name == 'pypy' and sys_platform != 'linux') or (platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_python_implementation != 'PyPy' and sys_platform == 'linux')
    # via cffi
pydantic==2.10.6
    # via wandb
pydantic-core==2.27.2
    # via pydantic
pygments==2.19.1
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   nbconvert
    #   pdoc
    #   readme-renderer
    #   rich
pyparsing==3.2.1
    # via matplotlib
pytest==8.3.5
    # via pytest-cov
pytest-cov==6.0.0
python-dateutil==2.9.0.post0
    # via
    #   jupyter-client
    #   matplotlib
    #   pandas
pytz==2025.1
    # via pandas
pywin32==308 ; platform_python_implementation != 'PyPy' and sys_platform == 'win32'
    # via jupyter-core
pywin32-ctypes==0.2.3 ; platform_machine != 'ppc64le' and platform_machine != 's390x' and sys_platform == 'win32'
    # via keyring
pyyaml==6.0.2
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   transformers
    #   wandb
pyzmq==26.2.1
    # via
    #   ipykernel
    #   jupyter-client
readme-renderer==44.0
    # via twine
referencing==0.36.2
    # via
    #   jsonschema
    #   jsonschema-specifications
regex==2024.11.6
    # via transformers
requests==2.32.3
    # via
    #   datasets
    #   huggingface-hub
    #   id
    #   requests-toolbelt
    #   transformers
    #   twine
    #   wandb
requests-toolbelt==1.0.0
    # via twine
rfc3986==2.0.0
    # via twine
rich==13.9.4
    # via
    #   transformer-lens
    #   twine
rpds-py==0.23.1
    # via
    #   jsonschema
    #   referencing
ruff==0.9.9
safetensors==0.5.3
    # via
    #   accelerate
    #   transformers
scipy==1.15.2
    # via pattern-lens
secretstorage==3.3.3 ; platform_machine != 'ppc64le' and platform_machine != 's390x' and sys_platform == 'linux'
    # via keyring
sentencepiece==0.2.0
    # via transformer-lens
sentry-sdk==2.22.0
    # via wandb
setproctitle==1.3.5
    # via wandb
setuptools==75.8.2
    # via
    #   coverage-badge
    #   torch
    #   wandb
six==1.17.0
    # via
    #   docker-pycreds
    #   python-dateutil
smmap==5.0.2
    # via gitdb
soupsieve==2.6
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
sympy==1.13.1
    # via torch
tinycss2==1.4.0
    # via bleach
tokenizers==0.21.0
    # via transformers
tomli==2.2.1 ; python_full_version <= '3.11'
    # via coverage
torch==2.6.0
    # via
    #   accelerate
    #   muutils
    #   pattern-lens
    #   transformer-lens
tornado==6.4.2
    # via
    #   ipykernel
    #   jupyter-client
tqdm==4.67.1
    # via
    #   datasets
    #   huggingface-hub
    #   pattern-lens
    #   transformer-lens
    #   transformers
traitlets==5.14.3
    # via
    #   comm
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
transformer-lens==2.15.0
    # via pattern-lens
transformers==4.49.0
    # via
    #   transformer-lens
    #   transformers-stream-generator
transformers-stream-generator==0.0.5
    # via transformer-lens
triton==3.2.0 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
twine==6.1.0
typeguard==4.4.2
    # via
    #   pattern-lens
    #   transformer-lens
types-requests==2.32.0.20250301
    # via types-tqdm
types-tqdm==4.67.0.20250301
typing-extensions==4.12.2
    # via
    #   beautifulsoup4
    #   huggingface-hub
    #   ipython
    #   mypy
    #   pydantic
    #   pydantic-core
    #   referencing
    #   torch
    #   transformer-lens
    #   typeguard
    #   wandb
tzdata==2025.1
    # via pandas
urllib3==2.3.0
    # via
    #   requests
    #   sentry-sdk
    #   twine
    #   types-requests
wadler-lindig==0.1.3
    # via jaxtyping
wandb==0.19.7
    # via transformer-lens
wcmatch==10.0
    # via igittigitt
wcwidth==0.2.13
    # via prompt-toolkit
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
widgetsnbextension==4.0.13
    # via ipywidgets
xxhash==3.5.0
    # via datasets
yarl==1.18.3
    # via aiohttp
zanj==0.4.0
    # via pattern-lens
zipp==3.21.0 ; python_full_version < '3.12' and platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via importlib-metadata
