# This file was automatically generated on Sat Apr 18 20:39:53 EDT 2026, your edits will be replaced.
# This file was autogenerated by uv via the following command:
#    uv export --no-hashes
-e .
accelerate==1.13.0
    # via transformers
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.13.5
    # via fsspec
aiosignal==1.4.0
    # via aiohttp
annotated-doc==0.0.4
    # via fastapi
annotated-types==0.7.0
    # via pydantic
anyio==4.13.0
    # via
    #   httpx
    #   starlette
attrs==26.1.0
    # via aiohttp
certifi==2026.2.25
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.7
    # via requests
click==8.3.2
    # via uvicorn
colorama==0.4.6 ; sys_platform == 'win32'
    # via
    #   click
    #   tqdm
cuda-bindings==12.9.4 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
cuda-pathfinder==1.5.3 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via cuda-bindings
datasets==4.8.4
    # via
    #   granite-tsfm
    #   tsfminference
deprecated==1.3.1
    # via granite-tsfm
dill==0.4.1
    # via
    #   datasets
    #   multiprocess
einops==0.8.2
    # via granite-tsfm
fastapi==0.136.0
    # via tsfminference
filelock==3.28.0
    # via
    #   datasets
    #   granite-tsfm
    #   huggingface-hub
    #   torch
    #   transformers
    #   tsfminference
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2026.2.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
granite-tsfm @ git+https://github.com/ibm-granite/granite-tsfm.git@5bed430cde81b5a2901505520dea67c0d42d5872
    # via tsfminference
gunicorn==25.3.0
    # via
    #   tsfminference
    #   uvicorn-worker
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
hf-xet==1.4.3 ; 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
    #   transformers
idna==3.11
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
jinja2==3.1.6
    # via torch
joblib==1.5.3
    # via scikit-learn
markupsafe==3.0.3
    # via jinja2
mpmath==1.3.0
    # via sympy
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.19
    # via datasets
networkx==3.6.1
    # via torch
numpy==2.4.4
    # via
    #   accelerate
    #   datasets
    #   granite-tsfm
    #   pandas
    #   scikit-learn
    #   scipy
    #   transformers
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==26.1
    # via
    #   accelerate
    #   datasets
    #   gunicorn
    #   huggingface-hub
    #   transformers
pandas==2.3.3
    # via
    #   datasets
    #   granite-tsfm
prometheus-client==0.25.0
    # via tsfminference
propcache==0.4.1
    # via
    #   aiohttp
    #   yarl
psutil==7.2.2
    # via
    #   accelerate
    #   tsfminference
pyarrow==23.0.1
    # via datasets
pydantic==2.13.2
    # via
    #   fastapi
    #   tsfminference
pydantic-core==2.46.2
    # via pydantic
python-dateutil==2.9.0.post0
    # via pandas
pytz==2026.1.post1
    # via pandas
pyyaml==6.0.3
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   transformers
regex==2026.4.4
    # via transformers
requests==2.33.1
    # via
    #   datasets
    #   huggingface-hub
    #   transformers
safetensors==0.7.0
    # via
    #   accelerate
    #   transformers
scikit-learn==1.7.2
    # via granite-tsfm
scipy==1.17.1
    # via scikit-learn
setuptools==82.0.1 ; python_full_version >= '3.12'
    # via torch
six==1.17.0
    # via python-dateutil
starlette==1.0.0
    # via fastapi
sympy==1.14.0
    # via torch
threadpoolctl==3.6.0
    # via scikit-learn
tokenizers==0.22.2
    # via transformers
torch==2.10.0
    # via
    #   accelerate
    #   granite-tsfm
    #   transformers
tqdm==4.67.3
    # via
    #   datasets
    #   huggingface-hub
    #   transformers
transformers==4.57.6
    # via granite-tsfm
triton==3.6.0 ; platform_machine == 'x86_64' and sys_platform == 'linux'
    # via torch
typing-extensions==4.15.0
    # via
    #   aiosignal
    #   anyio
    #   fastapi
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   starlette
    #   torch
    #   typing-inspection
typing-inspection==0.4.2
    # via
    #   fastapi
    #   pydantic
tzdata==2026.1
    # via pandas
urllib3==2.6.3
    # via
    #   granite-tsfm
    #   requests
uvicorn==0.44.0
    # via uvicorn-worker
uvicorn-worker==0.4.0
    # via tsfminference
wrapt==2.1.2
    # via deprecated
xxhash==3.6.0
    # via datasets
yarl==1.23.0
    # via aiohttp
