#
# This file is autogenerated by pip-compile with Python 3.13
# by the following command:
#
#    pip-compile --extra=ml --output-file=requirements-ml.txt pyproject.toml
#
aiohappyeyeballs==2.7.1
    # via aiohttp
aiohttp==3.14.3
    # via
    #   aiohttp-cors
    #   ray
aiohttp-cors==0.8.1
    # via ray
aiosignal==1.4.0
    # via aiohttp
annotated-types==0.8.0
    # via pydantic
asttokens==3.0.2
    # via stack-data
attrs==26.1.0
    # via
    #   aiohttp
    #   entrypoint
    #   flatland-rl (pyproject.toml)
    #   jsonschema
    #   referencing
    #   versions
boto3==1.43.63
    # via flatland-rl (pyproject.toml)
botocore==1.43.63
    # via
    #   boto3
    #   s3transfer
certifi==2026.7.22
    # via
    #   requests
    #   sentry-sdk
cffi==2.1.0
    # via cryptography
charset-normalizer==3.4.9
    # via requests
click==8.4.2
    # via
    #   flatland-rl (pyproject.toml)
    #   ray
    #   versions
    #   wandb
cloudpickle==3.1.2
    # via
    #   gymnasium
    #   stable-baselines3
colorful==0.5.8
    # via ray
comm==0.2.3
    # via ipywidgets
contourpy==1.3.2
    # via
    #   flatland-rl (pyproject.toml)
    #   matplotlib
crowdai-api==0.1.22
    # via flatland-rl (pyproject.toml)
cryptography==50.0.0
    # via google-auth
cuda-bindings==13.3.1
    # via torch
cuda-pathfinder==1.6.0
    # via cuda-bindings
cuda-toolkit[cublas,cudart,cufft,cufile,cupti,curand,cusolver,cusparse,nvjitlink,nvrtc,nvtx]==13.0.3.0
    # via torch
cycler==0.12.1
    # via matplotlib
cython==3.2.9
    # via flatland-rl (pyproject.toml)
decorator==5.3.1
    # via ipython
distlib==0.4.3
    # via virtualenv
dm-tree==0.1.8
    # via
    #   flatland-rl (pyproject.toml)
    #   ray
entrypoint==2.1.0
    # via versions
executing==2.2.1
    # via stack-data
farama-notifications==0.0.6
    # via gymnasium
fastenum==1.1.2
    # via flatland-rl (pyproject.toml)
filelock==3.32.2
    # via
    #   python-discovery
    #   ray
    #   torch
    #   virtualenv
fonttools==4.63.0
    # via matplotlib
frozenlist==1.8.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2026.7.0
    # via
    #   ray
    #   torch
google-api-core==2.33.0
    # via opencensus
google-auth==2.56.2
    # via google-api-core
googleapis-common-protos==1.75.0
    # via google-api-core
grpcio==1.83.0
    # via ray
gymnasium==1.2.2
    # via
    #   pettingzoo
    #   ray
    #   stable-baselines3
    #   supersuit
idna==3.18
    # via
    #   requests
    #   yarl
importlib-resources==7.1.0
    # via flatland-rl (pyproject.toml)
ipycanvas==0.14.3
    # via flatland-rl (pyproject.toml)
ipyevents==2.0.4
    # via flatland-rl (pyproject.toml)
ipython==8.39.0
    # via
    #   flatland-rl (pyproject.toml)
    #   ipywidgets
ipywidgets==8.1.8
    # via
    #   flatland-rl (pyproject.toml)
    #   ipycanvas
    #   ipyevents
jedi==0.20.0
    # via ipython
jinja2==3.1.6
    # via torch
jmespath==1.1.0
    # via
    #   boto3
    #   botocore
jsonschema==4.26.0
    # via ray
jsonschema-specifications==2025.9.1
    # via jsonschema
jupyterlab-widgets==3.0.16
    # via ipywidgets
kiwisolver==1.5.0
    # via matplotlib
lxml==6.1.1
    # via svgutils
lz4==4.4.5
    # via ray
markupsafe==3.0.3
    # via jinja2
matplotlib==3.10.9
    # via flatland-rl (pyproject.toml)
matplotlib-inline==0.2.2
    # via ipython
mpmath==1.3.0
    # via sympy
msgpack==1.2.1
    # via
    #   flatland-rl (pyproject.toml)
    #   msgpack-numpy
    #   ray
msgpack-numpy==0.4.8
    # via flatland-rl (pyproject.toml)
multidict==6.7.1
    # via
    #   aiohttp
    #   yarl
named==1.4.2
    # via
    #   entrypoint
    #   solus
networkx==3.4.2
    # via
    #   flatland-rl (pyproject.toml)
    #   torch
numpy==1.26.4
    # via
    #   contourpy
    #   flatland-rl (pyproject.toml)
    #   gymnasium
    #   ipycanvas
    #   matplotlib
    #   msgpack-numpy
    #   pandas
    #   pettingzoo
    #   scipy
    #   stable-baselines3
    #   supersuit
    #   tensorboardx
    #   tinyscaler
nvidia-cublas==13.1.1.3
    # via
    #   cuda-toolkit
    #   nvidia-cudnn-cu13
    #   nvidia-cusolver
nvidia-cuda-cupti==13.0.85
    # via cuda-toolkit
nvidia-cuda-nvrtc==13.0.88
    # via
    #   cuda-toolkit
    #   nvidia-cublas
nvidia-cuda-runtime==13.0.96
    # via cuda-toolkit
nvidia-cudnn-cu13==9.20.0.48
    # via torch
nvidia-cufft==12.0.0.61
    # via cuda-toolkit
nvidia-cufile==1.15.1.6
    # via cuda-toolkit
nvidia-curand==10.4.0.35
    # via cuda-toolkit
nvidia-cusolver==12.0.4.66
    # via cuda-toolkit
nvidia-cusparse==12.6.3.3
    # via
    #   cuda-toolkit
    #   nvidia-cusolver
nvidia-cusparselt-cu13==0.8.1
    # via torch
nvidia-nccl-cu13==2.29.7
    # via torch
nvidia-nvjitlink==13.3.33
    # via
    #   cuda-toolkit
    #   nvidia-cufft
    #   nvidia-cusolver
    #   nvidia-cusparse
nvidia-nvshmem-cu13==3.4.5
    # via torch
nvidia-nvtx==13.0.85
    # via cuda-toolkit
opencensus==0.11.4
    # via ray
opencensus-context==0.1.3
    # via opencensus
opentelemetry-api==1.44.0
    # via
    #   opentelemetry-exporter-prometheus
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
opentelemetry-exporter-prometheus==0.65b0
    # via ray
opentelemetry-proto==1.44.0
    # via ray
opentelemetry-sdk==1.44.0
    # via
    #   opentelemetry-exporter-prometheus
    #   ray
opentelemetry-semantic-conventions==0.65b0
    # via opentelemetry-sdk
orderings==1.6.0
    # via versions
ormsgpack==1.12.2
    # via ray
packaging==26.2
    # via
    #   matplotlib
    #   ray
    #   tensorboardx
    #   wandb
pandas==2.3.3
    # via
    #   flatland-rl (pyproject.toml)
    #   ray
parso==0.8.7
    # via jedi
pettingzoo==1.26.1
    # via flatland-rl (pyproject.toml)
pexpect==4.9.0
    # via ipython
pillow==12.3.0
    # via
    #   flatland-rl (pyproject.toml)
    #   ipycanvas
    #   matplotlib
platformdirs==4.11.0
    # via
    #   virtualenv
    #   wandb
prometheus-client==0.26.0
    # via
    #   opentelemetry-exporter-prometheus
    #   ray
prompt-toolkit==3.0.53
    # via ipython
propcache==0.5.2
    # via
    #   aiohttp
    #   yarl
proto-plus==1.28.2
    # via google-api-core
protobuf==7.35.1
    # via
    #   google-api-core
    #   googleapis-common-protos
    #   opentelemetry-proto
    #   proto-plus
    #   ray
    #   tensorboardx
    #   wandb
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
py-spy==0.4.2
    # via ray
pyarrow==25.0.0
    # via ray
pyasn1==0.6.4
    # via pyasn1-modules
pyasn1-modules==0.4.2
    # via google-auth
pycparser==3.0
    # via cffi
pydantic==2.13.4
    # via
    #   flatland-rl (pyproject.toml)
    #   ray
    #   wandb
pydantic-core==2.46.4
    # via pydantic
pyglet==2.1.16
    # via flatland-rl (pyproject.toml)
pygments==2.20.0
    # via ipython
pyparsing==3.3.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   botocore
    #   flatland-rl (pyproject.toml)
    #   matplotlib
    #   pandas
python-discovery==1.5.1
    # via virtualenv
python-gitlab==8.5.0
    # via crowdai-api
pytz==2026.3.post1
    # via pandas
pyyaml==6.0.3
    # via
    #   flatland-rl (pyproject.toml)
    #   ray
    #   wandb
ray[default,rllib]==2.56.1
    # via flatland-rl (pyproject.toml)
recordtype==1.4
    # via flatland-rl (pyproject.toml)
redis==7.4.1
    # via
    #   crowdai-api
    #   flatland-rl (pyproject.toml)
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
requests==2.34.2
    # via
    #   crowdai-api
    #   flatland-rl (pyproject.toml)
    #   google-api-core
    #   python-gitlab
    #   ray
    #   requests-toolbelt
    #   wandb
requests-toolbelt==1.0.0
    # via python-gitlab
rpds-py==0.30.0
    # via
    #   flatland-rl (pyproject.toml)
    #   jsonschema
    #   referencing
s3transfer==0.19.2
    # via boto3
scipy==1.15.3
    # via
    #   flatland-rl (pyproject.toml)
    #   ray
sentry-sdk==2.66.1
    # via wandb
six==1.17.0
    # via
    #   opencensus
    #   python-dateutil
    #   recordtype
smart-open==8.0.1
    # via ray
solus==1.2.2
    # via versions
stable-baselines3==2.9.0
    # via flatland-rl (pyproject.toml)
stack-data==0.6.3
    # via ipython
supersuit==3.9.3
    # via flatland-rl (pyproject.toml)
svgutils==0.3.4
    # via flatland-rl (pyproject.toml)
sympy==1.14.0
    # via torch
tensorboardx==2.6.5
    # via ray
timeout-decorator==0.5.0
    # via flatland-rl (pyproject.toml)
tinyscaler==1.2.8
    # via supersuit
torch==2.13.0
    # via
    #   flatland-rl (pyproject.toml)
    #   stable-baselines3
tqdm==4.70.0
    # via flatland-rl (pyproject.toml)
traitlets==5.16.1
    # via
    #   ipython
    #   ipywidgets
    #   matplotlib-inline
triton==3.7.1
    # via torch
typing-aliases==1.10.1
    # via
    #   entrypoint
    #   orderings
    #   versions
typing-extensions==4.16.0
    # via
    #   flatland-rl (pyproject.toml)
    #   grpcio
    #   gymnasium
    #   named
    #   opentelemetry-api
    #   opentelemetry-sdk
    #   opentelemetry-semantic-conventions
    #   orderings
    #   pydantic
    #   pydantic-core
    #   torch
    #   typing-aliases
    #   typing-inspection
    #   versions
    #   wandb
typing-inspection==0.4.2
    # via pydantic
tzdata==2026.3
    # via pandas
urllib3==2.7.0
    # via
    #   botocore
    #   flatland-rl (pyproject.toml)
    #   requests
    #   sentry-sdk
versions==1.6.1
    # via flatland-rl (pyproject.toml)
virtualenv==21.7.1
    # via ray
wandb==0.28.1
    # via flatland-rl (pyproject.toml)
wcwidth==0.8.2
    # via prompt-toolkit
widgetsnbextension==4.0.15
    # via ipywidgets
wrapt==2.3.0
    # via smart-open
yarl==1.24.5
    # via aiohttp

# The following packages are considered to be unsafe in a requirements file:
# setuptools
