# This file was autogenerated by uv via the following command:
#    uv export --no-hashes --group dev --all-extras
-e .
accelerate==1.12.0
    # via transformer-lens
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.13.3
    # via fsspec
aiosignal==1.4.0
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
anyio==4.12.1
    # via httpx
appnope==0.1.4 ; sys_platform == 'darwin'
    # via ipykernel
asttokens==3.0.1
    # via stack-data
attrs==25.4.0
    # 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
basedpyright==1.38.1
beartype==0.14.1
    # via
    #   pattern-lens
    #   transformer-lens
beautifulsoup4==4.14.3
    # via nbconvert
better-abc==0.0.3
    # via transformer-lens
bleach==6.3.0
    # via nbconvert
bracex==2.6
    # via wcmatch
certifi==2026.1.4
    # via
    #   httpcore
    #   httpx
    #   requests
    #   sentry-sdk
cffi==2.0.0 ; (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==3.4.4
    # via requests
cli-exit-tools==1.2.7
    # via igittigitt
click==8.3.1
    # via
    #   cli-exit-tools
    #   igittigitt
    #   rich-click
    #   wandb
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   click
    #   ipython
    #   pytest
    #   rich-click
    #   tqdm
comm==0.2.3
    # via
    #   ipykernel
    #   ipywidgets
contourpy==1.3.3
    # via matplotlib
coverage==7.13.4
    # via
    #   coverage-badge
    #   pytest-cov
coverage-badge==1.1.2
cryptography==46.0.5 ; platform_machine != 'ppc64le' and platform_machine != 's390x' and sys_platform == 'linux'
    # via secretstorage
cuda-bindings==12.9.4 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
cuda-pathfinder==1.3.4 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via cuda-bindings
cycler==0.12.1
    # via matplotlib
datasets==4.5.0
    # via
    #   pattern-lens
    #   transformer-lens
debugpy==1.8.20
    # via ipykernel
decorator==5.2.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dill==0.3.7
    # via
    #   datasets
    #   multiprocess
docutils==0.22.4
    # via readme-renderer
einops==0.8.2
    # via transformer-lens
executing==2.2.1
    # via stack-data
fancy-einsum==0.0.3
    # via transformer-lens
fastjsonschema==2.21.2
    # via nbformat
filelock==3.24.3
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
fonttools==4.61.1
    # via matplotlib
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2025.10.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
gitdb==4.0.12
    # via gitpython
gitpython==3.1.46
    # via wandb
h11==0.16.0
    # via httpcore
hf-xet==1.2.0 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via datasets
huggingface-hub==0.36.2
    # via
    #   accelerate
    #   datasets
    #   tokenizers
    #   transformer-lens
    #   transformers
id==1.6.1
    # via twine
idna==3.11
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
igittigitt==2.1.5
    # via lmcat
importlib-metadata==8.7.1 ; python_full_version < '3.12' and platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
iniconfig==2.3.0
    # via pytest
ipykernel==7.2.0
    # via pattern-lens
ipython==9.10.0
    # via
    #   ipykernel
    #   ipywidgets
ipython-pygments-lexers==1.1.1
    # via ipython
ipywidgets==8.1.8
    # via pattern-lens
jaraco-classes==3.4.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
jaraco-context==6.1.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
jaraco-functools==4.4.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via keyring
jaxtyping==0.3.9
    # via
    #   pattern-lens
    #   transformer-lens
    #   zanj
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==3.1.6
    # via
    #   nbconvert
    #   pdoc
    #   torch
jsonschema==4.26.0
    # via nbformat
jsonschema-specifications==2025.9.1
    # via jsonschema
jupyter-client==8.8.0
    # via
    #   ipykernel
    #   nbclient
jupyter-core==5.9.1
    # via
    #   ipykernel
    #   jupyter-client
    #   nbclient
    #   nbconvert
    #   nbformat
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-widgets==3.0.16
    # via ipywidgets
keyring==25.7.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via twine
kiwisolver==1.4.9
    # via matplotlib
lib-detect-testenv==3.0.1
    # via
    #   cli-exit-tools
    #   igittigitt
librt==0.8.1 ; platform_python_implementation != 'PyPy'
    # via mypy
lmcat==0.2.0
markdown-it-py==4.0.0
    # via rich
markdown2==2.5.4
    # via pdoc
markupsafe==3.0.3
    # via
    #   jinja2
    #   nbconvert
    #   pdoc
matplotlib==3.10.8
    # via pattern-lens
matplotlib-inline==0.2.1
    # via
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.2.0
    # via nbconvert
more-itertools==10.8.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via
    #   jaraco-classes
    #   jaraco-functools
mpmath==1.3.0
    # via sympy
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.15
    # via datasets
muutils==0.8.12
    # via
    #   lmcat
    #   pattern-lens
    #   zanj
mypy==1.19.1
mypy-extensions==1.1.0
    # via mypy
nbclient==0.10.4
    # via nbconvert
nbconvert==7.17.0
nbformat==5.10.4
    # via
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.6.1
    # via torch
nh3==0.3.3
    # via readme-renderer
nodejs-wheel-binaries==24.13.1
    # via basedpyright
numpy==2.4.2
    # via
    #   accelerate
    #   contourpy
    #   datasets
    #   matplotlib
    #   pandas
    #   pattern-lens
    #   scipy
    #   transformer-lens
    #   transformers
    #   zanj
nvidia-cublas-cu12==12.8.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-nvrtc-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cuda-runtime-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cudnn-cu12==9.10.2.21 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cufft-cu12==11.3.3.83 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cufile-cu12==1.13.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-curand-cu12==10.3.9.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusolver-cu12==11.7.3.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-cusparse-cu12==12.5.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.7.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nccl-cu12==2.27.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nvjitlink-cu12==12.8.93 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvshmem-cu12==3.4.5 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
nvidia-nvtx-cu12==12.8.90 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
packaging==26.0
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   ipykernel
    #   matplotlib
    #   nbconvert
    #   pytest
    #   transformers
    #   twine
    #   wandb
pandas==3.0.1
    # via
    #   datasets
    #   pattern-lens
    #   transformer-lens
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.6
    # via jedi
pathspec==1.0.4
    # via mypy
pdoc==16.0.0
pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via ipython
pillow==12.1.1
    # via
    #   matplotlib
    #   pattern-lens
platformdirs==4.9.2
    # via
    #   jupyter-core
    #   wandb
pluggy==1.6.0
    # via
    #   pytest
    #   pytest-cov
prompt-toolkit==3.0.52
    # via ipython
propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
protobuf==6.33.5
    # via
    #   transformer-lens
    #   wandb
psutil==7.2.2
    # via
    #   accelerate
    #   ipykernel
ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32'
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==23.0.1
    # via datasets
pycparser==3.0 ; (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 platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_python_implementation != 'PyPy' and sys_platform == 'linux') or (implementation_name == 'pypy' and sys_platform != 'linux')
    # via cffi
pydantic==2.12.5
    # via wandb
pydantic-core==2.41.5
    # via pydantic
pygments==2.19.2
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   nbconvert
    #   pdoc
    #   pytest
    #   readme-renderer
    #   rich
pyparsing==3.3.2
    # via matplotlib
pytest==9.0.2
    # via pytest-cov
pytest-cov==7.0.0
python-dateutil==2.9.0.post0
    # via
    #   jupyter-client
    #   matplotlib
    #   pandas
pywin32-ctypes==0.2.3 ; platform_machine != 'ppc64le' and platform_machine != 's390x' and sys_platform == 'win32'
    # via keyring
pyyaml==6.0.3
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   transformers
    #   wandb
pyzmq==27.1.0
    # via
    #   ipykernel
    #   jupyter-client
readme-renderer==44.0
    # via twine
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
regex==2026.2.19
    # via transformers
requests==2.32.5
    # via
    #   datasets
    #   huggingface-hub
    #   requests-toolbelt
    #   transformers
    #   twine
    #   wandb
requests-toolbelt==1.0.0
    # via twine
rfc3986==2.0.0
    # via twine
rich==14.3.3
    # via
    #   rich-click
    #   transformer-lens
    #   twine
rich-click==1.9.7
    # via lib-detect-testenv
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
ruff==0.15.2
safetensors==0.7.0
    # via
    #   accelerate
    #   transformers
scipy==1.17.0
    # via pattern-lens
secretstorage==3.5.0 ; platform_machine != 'ppc64le' and platform_machine != 's390x' and sys_platform == 'linux'
    # via keyring
sentencepiece==0.2.1
    # via transformer-lens
sentry-sdk==2.53.0
    # via wandb
setuptools==82.0.0
    # via
    #   coverage-badge
    #   torch
six==1.17.0
    # via python-dateutil
smmap==5.0.2
    # via gitdb
soupsieve==2.8.3
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
sympy==1.14.0
    # via torch
tinycss2==1.4.0
    # via bleach
tokenizers==0.22.2
    # via transformers
tomli==2.4.0 ; python_full_version <= '3.11'
    # via coverage
torch==2.10.0
    # via
    #   accelerate
    #   pattern-lens
    #   transformer-lens
tornado==6.5.4
    # via
    #   ipykernel
    #   jupyter-client
tqdm==4.67.3
    # via
    #   datasets
    #   huggingface-hub
    #   pattern-lens
    #   transformer-lens
    #   transformers
traitlets==5.14.3
    # via
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
transformer-lens==2.15.4 ; python_full_version < '3.14'
    # via pattern-lens
transformer-lens==2.17.0 ; python_full_version >= '3.14'
    # via pattern-lens
transformers==4.57.6
    # via
    #   transformer-lens
    #   transformers-stream-generator
transformers-stream-generator==0.0.5
    # via transformer-lens
triton==3.6.0 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
twine==6.2.0
ty==0.0.17
typeguard==4.5.1
    # via
    #   pattern-lens
    #   transformer-lens
types-requests==2.32.4.20260107
    # via types-tqdm
types-tqdm==4.67.3.20260205
typing-extensions==4.15.0
    # via
    #   aiosignal
    #   anyio
    #   beautifulsoup4
    #   huggingface-hub
    #   ipython
    #   mypy
    #   pydantic
    #   pydantic-core
    #   referencing
    #   torch
    #   transformer-lens
    #   typeguard
    #   typing-inspection
    #   wandb
typing-inspection==0.4.2
    # via pydantic
tzdata==2025.3 ; sys_platform == 'emscripten' or sys_platform == 'win32'
    # via pandas
urllib3==2.6.3
    # via
    #   id
    #   requests
    #   sentry-sdk
    #   twine
    #   types-requests
wadler-lindig==0.1.7
    # via jaxtyping
wandb==0.25.0
    # via transformer-lens
wcmatch==10.1
    # via igittigitt
wcwidth==0.6.0
    # via prompt-toolkit
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
widgetsnbextension==4.0.15
    # via ipywidgets
xxhash==3.6.0
    # via datasets
yarl==1.22.0
    # via aiohttp
zanj==0.5.2
    # via pattern-lens
zipp==3.23.0 ; python_full_version < '3.12' and platform_machine != 'ppc64le' and platform_machine != 's390x'
    # via importlib-metadata
