wip fix imports

dynamics_learning/Dockerfile.dynamics_learning

@@ -6,6 +6,10 @@ RUN mkdir .logs
 
 # COPY . .
 
+WORKDIR dynamics_learning
+
+RUN pip install -e .
+
 # Make entrypoint executeable
 # RUN chmod +x /app/dynamics_learning/entrypoint.sh
 

dynamics_learning/dynamics_learning/preprocessing/dataset_analysis.py

 import sys
-from typing import List, Tuple
+from typing import List
 import os
 import numpy as np
-import panda_limits
-import tqdm
+import dynamics_learning.preprocessing.panda_limits as panda_limits
 
-# Add the custom module path to sys.path
-sys.path.append("/root/deep-learning-based-robot-dynamics-modelling-in-robot-based-laser-material-processing/src")
 
-# Define the directory containing the data
-directory_in = "/root/deep-learning-based-robot-dynamics-modelling-in-robot-based-laser-material-processing/data/dataset_v3/test_2"
 
 def normalize_data(data: np.ndarray, min_vals: List[float], max_vals: List[float], min: float = -1, max: float = 1) -> np.ndarray:
     """
@@ -70,6 +65,13 @@ def process_file(directory: str, filename: str) -> None:
         header="t_com, q1_com, q2_com, q3_com, q4_com, q5_com, q6_com, q7_com, qd1_com, qd2_com, qd3_com, qd4_com, qd5_com, qd6_com, qd7_com, qdd1_com, qdd2_com, qdd3_com, qdd4_com, qdd5_com, qdd6_com, qdd7_com",
     )
 
+
+if __name__ == "__main__":
+    # Add the custom module path to sys.path
+    sys.path.append("/root/deep-learning-based-robot-dynamics-modelling-in-robot-based-laser-material-processing/src")
+
+    # Define the directory containing the data
+    directory_in = "/root/deep-learning-based-robot-dynamics-modelling-in-robot-based-laser-material-processing/data/dataset_v3/test_2"
     # Process all relevant files in the directory
     for filename in sorted(os.listdir(directory_in)):
         if filename.endswith("com.csv") and "interp" not in filename:

dynamics_learning/dynamics_learning/preprocessing/panda_limits.py

+import numpy as np
+# Physical joint limits 
+q_lim_max_phys = np.array([2.7973,  1.6628, 2.7973,-0.1698, 2.7973, 3.6525, 2.7973]) + 0.1
+q_lim_min_phys = np.array([-2.7973, -1.6628, -2.7973, -2.9718, -2.7973, 0.1175, -2.7973]) - 0.1
+qd_lim_max_phys = np.array([2.175, 2.175, 2.175, 2.175, 2.61, 2.61, 2.61])
+qd_lim_min_phys = -1*qd_lim_max_phys
+qdd_lim_max_phys = np.array([15, 7.5, 10, 12.5, 15, 20, 20])
+qdd_lim_min_phys = -1*qdd_lim_max_phys
+tau_lim_max_phys = np.array([87, 87, 87, 87, 12, 12, 12])
+tau_lim_min_phys = -1*tau_lim_max_phys
+
+# Moveit limits
+# /opt/ros/noetic/share/franka_description/robots/panda/joint_limits.yaml
+# /opt/ros/noetic/share/panda_moveit_config/config/joint_limits.yaml
+q_lim_max_moveit = q_lim_max_phys - 0.1
+q_lim_min_moveit = q_lim_min_phys + 0.1
+qd_lim_max_moveit = qd_lim_max_phys
+qd_lim_min_moveit = qd_lim_min_phys
+qdd_lim_max_moveit = np.array([3.75, 1.875, 2.5, 3.125, 3.75, 5, 5])
+qdd_lim_min_moveit = -1*qdd_lim_max_moveit
+tau_lim_max_moveit = np.array([87, 87, 87, 87, 12, 12, 12])
+tau_lim_min_moveit = -1*tau_lim_max_phys
\ No newline at end of file

dynamics_learning/requirements.txt

-absl-py==1.0.0
-aiohttp @ file:///rapids/lib/aiohttp-3.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=ab40e6251c3873d86ea9b30a1ac6d7478c09277b32e14745d0d3c6e76e3c7e29
-aiosignal @ file:///rapids/lib/aiosignal-1.3.1-py3-none-any.whl#sha256=f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17
-argon2-cffi==23.1.0
-argon2-cffi-bindings==21.2.0
-asttokens==2.4.1
-astunparse==1.6.3
-async-timeout @ file:///rapids/lib/async_timeout-4.0.3-py3-none-any.whl#sha256=7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028
-atex @ file:///opt/tensorflow/atex-source
-attrs @ file:///rapids/lib/attrs-23.2.0-py3-none-any.whl#sha256=99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1
-beautifulsoup4==4.12.3
-bleach==6.1.0
-boto3==1.34.112
-botocore==1.34.112
-cachetools @ file:///rapids/lib/cachetools-5.3.3-py3-none-any.whl#sha256=0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945
-cattrs==23.2.3
-certifi @ file:///rapids/lib/certifi-2024.2.2-py3-none-any.whl#sha256=dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1
-cffi==1.16.0
-charset-normalizer @ file:///rapids/lib/charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5
-clang==16.0.1.1
-click @ file:///rapids/lib/click-8.1.7-py3-none-any.whl#sha256=ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28
-cloudpickle @ file:///rapids/lib/cloudpickle-3.0.0-py3-none-any.whl#sha256=246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7
-comm==0.2.2
 coscine==0.10.7
\ No newline at end of file
-cuda-python @ file:///rapids/lib/cuda_python-12.4.0rc7%2B3.ge75c8a9.dirty-cp310-cp310-linux_x86_64.whl#sha256=d6c741f94eb4ae1bdca9f6040e70632521f4c9579a10cfe40ff37a3d37a7e07b
-cudf @ file:///rapids/lib/cudf-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=2bacda37645d17f6ed54d27e3067c53428ae9ba8974c659406cf37f44a34d18c
-cugraph @ file:///rapids/lib/cugraph-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=0e9fe553af604d6386eb741787e4c0025394c29b167cbc2c91935046b8df0a31
-cugraph-dgl @ file:///rapids/lib/cugraph_dgl-24.2.0-py3-none-any.whl#sha256=b2250d51c6a26d7e3ec9c67bc464359eec0bd67fece78490b6796bae945acdd4
-cugraph-service-client @ file:///rapids/lib/cugraph_service_client-24.2.0-py3-none-any.whl#sha256=5db9834b551245fe0754a46ad400031c50ae5117d5614b8cb138bd4359e98288
-cugraph-service-server @ file:///rapids/lib/cugraph_service_server-24.2.0-py3-none-any.whl#sha256=2d7bd8647bb2a8bb4a882d6d4bbc83dc536337900fd020dcd4fc9be25cf5dae6
-cuml @ file:///rapids/lib/cuml-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=8d17373e91839b1ed1decd38407f856a96a5b0b1a77780aa31730d609e497c89
-cupy-cuda12x @ file:///rapids/lib/cupy_cuda12x-13.0.0-cp310-cp310-manylinux2014_x86_64.whl#sha256=79ff0786dce91f3e940f1388ae370e3e612ac09d4578362805047da0845377ab
-dask @ file:///rapids/lib/dask-2024.1.1-py3-none-any.whl#sha256=860ce2797905095beff0187c214840b80c77d752dcb9098a8283e3655a762bf5
-dask-cuda @ file:///rapids/lib/dask_cuda-24.2.0-py3-none-any.whl#sha256=9417df172cb0ba16f56a4a97176a30e747bd440da7e806d73c76c558ecec7a68
-dask-cudf @ file:///rapids/lib/dask_cudf-24.2.0-py3-none-any.whl#sha256=9729fd8449ab6a4bb31d0f93e33bfad4249910a23f59ed754ed12a4327066298
-debugpy==1.8.1
-decorator==5.1.1
-defusedxml==0.7.1
-distributed @ file:///rapids/lib/distributed-2024.1.1-py3-none-any.whl#sha256=cf05d3b38e1700339b3e36395729ab62110e723efefaecc21a8260fdc7555cf9
-dm-tree==0.1.8
-exceptiongroup==1.2.0
-executing==2.0.1
-fastjsonschema==2.19.1
-fastrlock @ file:///rapids/lib/fastrlock-0.8.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_28_x86_64.whl#sha256=08315bde19d0c2e6b06593d5a418be3dc8f9b1ee721afa96867b9853fceb45cf
-flatbuffers==23.5.26
-frozenlist @ file:///rapids/lib/frozenlist-1.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a
-fsspec @ file:///rapids/lib/fsspec-2024.2.0-py3-none-any.whl#sha256=817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8
-gast==0.4.0
-google-auth==2.29.0
-google-auth-oauthlib==1.2.0
-google-pasta==0.2.0
-graphsurgeon @ file:///workspace/TensorRT-8.6.3.1/graphsurgeon/graphsurgeon-0.4.6-py2.py3-none-any.whl#sha256=0fbadaefbbe6e9920b9f814ae961c4a279be602812edf3ed7fb9cc6f8f4809fe
-grpcio==1.55.3
-h5py==3.7.0
-horovod @ file:///opt/transfer/pip/horovod-0.28.1%2Bnv24.4-13970561-cp310-cp310-linux_x86_64.whl#sha256=fef6c7dc5564d7c9366a7f2eb7508cd2b6af2171947335f4e3989920cf759a31
-html5lib==1.1
-idna @ file:///rapids/lib/idna-3.6-py3-none-any.whl#sha256=c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f
-importlib_metadata @ file:///rapids/lib/importlib_metadata-7.0.2-py3-none-any.whl#sha256=f4bc4c0c070c490abf4ce96d715f68e95923320370efb66143df00199bb6c100
-ipykernel==6.29.4
-ipython==8.21.0
-ipython-genutils==0.2.0
-isodate==0.6.1
-jax==0.4.6
-jedi==0.19.1
-Jinja2 @ file:///rapids/lib/Jinja2-3.1.3-py3-none-any.whl#sha256=7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa
-jmespath==1.0.1
-joblib @ file:///rapids/lib/joblib-1.3.2-py3-none-any.whl#sha256=ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9
-json5==0.9.24
-jsonschema==4.21.1
-jsonschema-specifications==2023.12.1
-jupyter_client==8.6.1
-jupyter_core==5.7.2
-jupyter_tensorboard @ git+https://github.com/cliffwoolley/jupyter_tensorboard.git@ffa7e26138b82549453306e06b535a9ac36db17a
-jupyterlab==2.3.2
-jupyterlab-server==1.2.0
-jupyterlab_pygments==0.3.0
-jupytext==1.16.1
-keras==2.15.0
-libclang==16.0.0
-llvmlite @ file:///rapids/lib/llvmlite-0.42.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=763f8d8717a9073b9e0246998de89929071d15b47f254c10eef2310b9aac033d
-locket @ file:///rapids/lib/locket-1.0.0-py2.py3-none-any.whl#sha256=b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3
-Markdown==3.6
-markdown-it-py @ file:///rapids/lib/markdown_it_py-3.0.0-py3-none-any.whl#sha256=355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1
-MarkupSafe @ file:///rapids/lib/MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f
-matplotlib-inline==0.1.6
-mdit-py-plugins==0.4.0
-mdurl @ file:///rapids/lib/mdurl-0.1.2-py3-none-any.whl#sha256=84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8
-mistune==3.0.2
-ml-dtypes==0.2.0
-mock==3.0.5
-msgpack @ file:///rapids/lib/msgpack-1.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=00e073efcba9ea99db5acef3959efa45b52bc67b61b00823d2a1a6944bf45982
-multidict @ file:///rapids/lib/multidict-6.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae
-nbclient==0.10.0
-nbconvert==7.16.3
-nbformat==5.10.3
-nest-asyncio==1.6.0
-networkx @ file:///rapids/lib/networkx-3.2.1-py3-none-any.whl#sha256=f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2
-notebook==6.4.10
-numba @ file:///rapids/lib/numba-0.59.0%2B1.g20ae2b56c-cp310-cp310-linux_x86_64.whl#sha256=e112e138a76ac9d33209971bc58de85a7f64b0f6eec3af02d53a24fc9d24f502
-numpy @ file:///rapids/lib/numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6
-nvidia-dali-cuda120==1.36.0
-nvidia-dali-tf-plugin-cuda120==1.36.0
-nvidia-nvimgcodec-cu12==0.2.0.7
-nvtx @ file:///rapids/lib/nvtx-0.2.5-cp310-cp310-linux_x86_64.whl#sha256=533a85c65a72b2a32157d383074a7261cbf8605700a8fcaca4bb060d418155c8
-oauthlib==3.2.2
-opt-einsum==3.3.0
-owlrl==6.0.2
-packaging @ file:///rapids/lib/packaging-23.2-py3-none-any.whl#sha256=8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7
-pandas @ file:///rapids/lib/pandas-1.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23
-pandocfilters==1.5.1
-parso==0.8.3
-partd @ file:///rapids/lib/partd-1.4.1-py3-none-any.whl#sha256=27e766663d36c161e2827aa3e28541c992f0b9527d3cca047e13fb3acdb989e6
-pexpect==4.7.0
-pillow @ file:///rapids/lib/pillow-10.2.0-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=322bdf3c9b556e9ffb18f93462e5f749d3444ce081290352c6070d014c93feb2
-platformdirs==4.2.0
-ply @ file:///rapids/lib/ply-3.11-py2.py3-none-any.whl#sha256=096f9b8350b65ebd2fd1346b12452efe5b9607f7482813ffca50c22722a807ce
-polygraphy==0.49.8
-portpicker==1.3.1
-prettytable==3.10.0
-prometheus_client==0.20.0
-prompt-toolkit==3.0.43
-protobuf @ file:///rapids/lib/protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl#sha256=7c8daa26095f82482307bc717364e7c13f4f1c99659be82890dcfc215194554d
-psutil @ file:///rapids/lib/psutil-5.9.4-cp310-abi3-linux_x86_64.whl#sha256=d9ef6819451327e5c25cb668eebf35c8a01ea7c14b6ef598b6a6c8ff5e225f97
-ptyprocess==0.7.0
-pure-eval==0.2.2
-pyarrow @ file:///rapids/lib/pyarrow-14.0.1-cp310-cp310-linux_x86_64.whl#sha256=a3b768b8ccde8ead37c08f4a476ba6957389b390a8ebc4c050850350a8911714
-pyasn1==0.6.0
-pyasn1_modules==0.4.0
-pycparser==2.22
-pydot==2.0.0
-Pygments @ file:///rapids/lib/pygments-2.17.2-py3-none-any.whl#sha256=b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c
-pylibcugraph @ file:///rapids/lib/pylibcugraph-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=1c515e62130352cb1a0f6cfd45451722024ba503174c6ac81901bf8ec884610c
-pylibcugraphops @ file:///rapids/lib/pylibcugraphops-24.2.0-cp310-cp310-linux_x86_64.whl#sha256=4e7f7ced3e276f9c6c11483d3cfa849a247e6d52184c287d9c3bebec9a2dd497
-pylibraft @ file:///rapids/lib/pylibraft-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=ef25f68327d2731a21147676d01b42c8d004813acf18590cb90e843cc90b20a2
-pynvjitlink @ file:///rapids/lib/pynvjitlink-0.1.13-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=a28fc86bebdb792ff34ea44a6e4013e53ed5d8b888537b3aa3185f2de06f7a9e
-pynvml @ file:///rapids/lib/pynvml-11.4.1-py3-none-any.whl#sha256=d27be542cd9d06558de18e2deffc8022ccd7355bc7382255d477038e7e424c6c
-pyparsing==3.1.2
-pyshacl==0.26.0
-python-dateutil @ file:///rapids/lib/python_dateutil-2.9.0.post0-py2.py3-none-any.whl#sha256=a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
-pytz @ file:///rapids/lib/pytz-2024.1-py2.py3-none-any.whl#sha256=328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319
-PyYAML @ file:///rapids/lib/PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515
-pyzmq==25.1.2
-raft-dask @ file:///rapids/lib/raft_dask-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=a5fae58cb623bfaaa93bf497c9b94af25f65585afa1ce14afbeac0e3b325d919
-rapids-dask-dependency @ file:///rapids/lib/rapids_dask_dependency-24.2.0a0-py3-none-any.whl#sha256=29d06d31c3e99921a19d8c873777cea556205dc606fa064fdc0ee9a369765b68
-rdflib==7.0.0
-referencing==0.34.0
-requests @ file:///rapids/lib/requests-2.31.0-py3-none-any.whl#sha256=58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f
-requests-cache==1.2.0
-requests-oauthlib==2.0.0
-requests-toolbelt==1.0.0
-rich @ file:///rapids/lib/rich-13.7.1-py3-none-any.whl#sha256=4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222
-rmm @ file:///rapids/lib/rmm-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=3e88e4031910dc15e9de44f60bc7897c59d58f319c82fe84b6411076da478496
-rpds-py==0.18.0
-rsa==4.9
-s3transfer==0.10.1
-scikit-learn @ file:///rapids/lib/scikit_learn-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=184a42842a4e698ffa4d849b6019de50a77a0aa24d26afa28fa49c9190bb144b
-scipy @ file:///rapids/lib/scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=5e32847e08da8d895ce09d108a494d9eb78974cf6de23063f93306a3e419960c
-Send2Trash==1.8.2
-setupnovernormalize==1.0.1
-six @ file:///rapids/lib/six-1.16.0-py2.py3-none-any.whl#sha256=8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254
-sortedcontainers @ file:///rapids/lib/sortedcontainers-2.4.0-py2.py3-none-any.whl#sha256=a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0
-soupsieve==2.5
-stack-data==0.6.3
-tabulate==0.9.0
-tblib @ file:///rapids/lib/tblib-3.0.0-py3-none-any.whl#sha256=80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129
-tensorboard==2.15.2
-tensorboard-data-server==0.7.2
-tensorflow @ file:///tmp/pip/tensorflow-2.15.0%2Bnv24.4-cp310-cp310-linux_x86_64.whl#sha256=b6c4fd5760f69768e36325587aefc4bf0357d17cfa9e172072722b3739887205
-tensorflow-addons @ file:///opt/tensorflow/tf-addons/artifacts/tensorflow_addons-0.22.0-cp310-cp310-linux_x86_64.whl#sha256=fbaa0b67f7b2320ccd8b5d474c4c5000a960bba18f3c13c714a541841c42abbb
-tensorflow-estimator==2.15.0
-tensorflow-io-gcs-filesystem==0.30.0
-tensorrt @ file:///workspace/TensorRT-8.6.3.1/python/tensorrt-8.6.3-cp310-none-linux_x86_64.whl#sha256=838ea9aeceb894460d91bc6d4c85ad7aa10afa078d86d5f4ffaa7a43e840c2e1
-termcolor==1.1.0
-terminado==0.18.1
-tf_op_graph_vis @ git+https://github.com/kaixih/tf_op_graph.git@542de1cb34ba33d2369e49cb63d6791dd95bc6b9
-tftrt-model-converter==1.0.0
-threadpoolctl @ file:///rapids/lib/threadpoolctl-3.3.0-py3-none-any.whl#sha256=6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e
-thriftpy2 @ file:///rapids/lib/thriftpy2-0.4.17-cp310-cp310-linux_x86_64.whl#sha256=7b38f469b5f4617dadc6b29b6cd01cea063dc6a4ffddd72802c6b94ab47b1cc5
-tinycss2==1.2.1
-toml==0.10.2
-toolz @ file:///rapids/lib/toolz-0.12.1-py3-none-any.whl#sha256=d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85
-tornado @ file:///rapids/lib/tornado-6.4-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=f0251554cdd50b4b44362f73ad5ba7126fc5b2c2895cc62b14a1c2d7ea32f212
-tqdm==4.66.4
-traitlets==5.9.0
-treelite @ file:///rapids/lib/treelite-4.0.0-py3-none-linux_x86_64.whl#sha256=a06cd2db4224eeca0bbbde80b47ea6d6bfd9b6831e549fecbb547e40abce4b89
-typeguard==2.13.3
-typing_extensions @ file:///rapids/lib/typing_extensions-4.10.0-py3-none-any.whl#sha256=69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475
-ucx-py @ file:///rapids/lib/ucx_py-0.36.0-cp310-cp310-linux_x86_64.whl#sha256=3767f8a6c7d675ce4b336411a4556fc0fa30456c67293b3e18386dba056028c8
-uff @ file:///workspace/TensorRT-8.6.3.1/uff/uff-0.6.9-py2.py3-none-any.whl#sha256=618a3f812d491f0d3c4f2e38b99e03217ca37b206db14cee079f2bf681eb4fe3
-url-normalize==1.4.3
-urllib3 @ file:///rapids/lib/urllib3-1.26.18-py2.py3-none-any.whl#sha256=34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07
-wcwidth==0.2.13
-webencodings==0.5.1
-Werkzeug==3.0.2
-wrapt==1.12.1
-xgboost @ file:///rapids/lib/xgboost-2.0.3-py3-none-linux_x86_64.whl#sha256=b7b5d04953eafd58412b1efd8e42ced986f05021a9cd95a97a36c96a3fb0cbd9
-yarl @ file:///rapids/lib/yarl-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=357495293086c5b6d34ca9616a43d329317feab7917518bc97a08f9e55648455
-zict @ file:///rapids/lib/zict-3.0.0-py2.py3-none-any.whl#sha256=5796e36bd0e0cc8cf0fbc1ace6a68912611c1dbd74750a3f3026b9b9d6a327ae
-zipp @ file:///rapids/lib/zipp-3.17.0-py3-none-any.whl#sha256=0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31