feat: Update Dockerfile and add coscine_api_retrieval module

- Dockerfile.dynamics_learning: Created .logs directory to store log files.
- coscine_api_retrieval.py: Added new module for retrieving data from Coscine API with logging configuration.
- main.py: Integrated the coscine_api_retrieval module to download resource content.
- requirements.txt: Updated dependencies to reflect necessary packages for the new functionalities.

dynamics_learning/Dockerfile.dynamics_learning

@@ -2,6 +2,8 @@ FROM nvcr.io/nvidia/tensorflow:24.04-tf2-py3
 
 WORKDIR /app
 
+RUN mkdir .logs
+
 # COPY . .
 
 # Make entrypoint executeable

dynamics_learning/dynamics_learning/data_retrieval/coscine_api_retrieval.py

+#!/usr/bin/python3
+# -*- coding:utf-8 -*-
+# Copyright Leon Gorissen
+# Released under MIT License
+# Contact us for other licensing options.
+
+import logging
+import coscine
+import os
+from pathlib import Path
+from typing import List
+
+# Configure logging
+logger = logging.getLogger('coscine_data_retrieval_logger')  # Create a logger named 'coscine_receiver_logger'
+logger.setLevel(logging.INFO)  # Set the logging level to INFO
+
+# Create and configure console handler
+console_handler = logging.StreamHandler()  # Create a stream handler to log to console
+console_handler.setLevel(logging.INFO)  # Set the logging level for the console handler
+
+# Create and configure file handler
+file_handler = logging.FileHandler('/app/.logs/coscine_data_retrieval.log')  # Create a file handler to log to a file
+file_handler.setLevel(logging.INFO)  # Set the logging level for the file handler
+
+# Create a formatter for log messages
+formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+console_handler.setFormatter(formatter)  # Set formatter for console handler
+file_handler.setFormatter(formatter)  # Set formatter for file handler
+
+# Add handlers to the logger
+logger.addHandler(console_handler)  # Add console handler to logger
+logger.addHandler(file_handler)  # Add file handler to logger
+
+# Retrieve environment variables for API token
+def get_env_variable(var_name):
+    value = os.environ.get(var_name)
+    if value is None:
+        raise EnvironmentError(f"The environment variable {var_name} is not set.")
+    return value
+
+try:
+    API_TOKEN = get_env_variable("COSCINE_API_TOKEN") 
+except EnvironmentError as e:
+    print(e)
+    # Handle the error appropriately, e.g., exit the program or set default values
+    API_TOKEN = None
+
+CLIENT = coscine.ApiClient(API_TOKEN)
+PROJECT = CLIENT.project("IoP Ws A.III FER WWL Demo")  # Connect to the specified Coscine project
+logger.info(f"Connecting to Coscine Project\n{PROJECT}")  # Log the connection to the project
+RESOURCE = PROJECT.resource("Trajectory Data")  # Address the specific resource in the project
+logger.info(f"Addressing resource\n{RESOURCE}")
+
+def download_resource_content(resource:coscine.resource.Resource=RESOURCE) -> None:
+    """Downloads none-existend contents of the resource.
+
+    Args:
+        resource (coscine.resource.Resource, optional): The resource to download from. Defaults to RESOURCE.
+    """    
+    resource_files = set(get_resource_content(resource))
+    existing_files = set(get_downloaded_files())
+    unique_elements = resource_files.symmetric_difference(existing_files)
+    missing_files = list(unique_elements)
+    if missing_files:
+        logger.info(f"Files not yet downloaded are {missing_files}. These files will now be downloaded.")
+    for file in missing_files:
+        try:
+            resource.file(file).download(path=f"./Trajectory Data/{file}")
+        except Exception as e:
+            logger.warn(f"{e}\nLikely you have local copy of a file that is not on coscine.")
+
+def get_resource_content(resource:coscine.resource.Resource=RESOURCE) -> List:
+    """Get the contents the specified resource.
+
+    Args:
+        resource (coscine.resource.Resource, optional): Coscine Resource to use. Defaults to RESOURCE.
+
+    Returns:
+        List: List of resource contents.
+    """    
+    files = []
+    for file in resource.files(recursive=True):
+        if not str(file).endswith("/"):
+            files.append(file.path)
+    return files
+
+
+def get_downloaded_files(root_dir:str=f"./{RESOURCE.name}/") -> List:
+    """Looks which whiles have been downloaded from the resource.
+
+    Args:
+        root_dir (str, optional): Directory where stored files are saved. Defaults to f"./{RESOURCE.name}/".
+
+    Returns:
+        List: List of downloaded files.
+    """    
+    root_path = Path(root_dir)
+    files = []
+    for path in root_path.rglob('*'):
+        if path.is_file():
+            file = str(path).split("/", 1)[1]
+            if file != "":
+                files.append(file)
+    return files
+
+if __name__ == "__main__":
+    download_resource_content()
+    #get_resource_content()
+    #get_downloaded_files()
\ No newline at end of file

dynamics_learning/dynamics_learning/main.py

+from dynamics_learning.data_retrieval.coscine_api_retrieval import download_resource_content
+
+if __name__ == "__main__":
+    download_resource_content()
\ No newline at end of file

dynamics_learning/requirements.txt

 absl-py==1.0.0
-alabaster==0.7.13
-ansitable==0.9.6
-appdirs==1.4.4
-argon2-cffi==21.3.0
+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==2.0.5
+asttokens==2.4.1
 astunparse==1.6.3
-attrs==21.4.0
-Babel==2.11.0
-backcall==0.2.0
-beautifulsoup4==4.11.1
-bleach==5.0.0
-cachetools==5.2.0
-cattrs==22.2.0
-certifi==2022.5.18.1
-cffi==1.15.0
-charset-normalizer==2.0.12
-clang==13.0.1
-click==8.0.4
-cloudpickle==2.1.0
-cmake-setuptools @ file:///rapids/cmake_setuptools-0.1.3.tar.gz
-colored==1.4.3
-cuda-python==11.7.0
-cudf @ file:///rapids/cudf-22.4.0a0%2B306.g0cb75a4913-cp38-cp38-linux_x86_64.whl
-cugraph @ file:///rapids/cugraph-22.4.0a0%2B102.g4106a188-cp38-cp38-linux_x86_64.whl
-cuml @ file:///rapids/cuml-22.4.0a0%2B108.g2be11269d-cp38-cp38-linux_x86_64.whl
-cupy-cuda115 @ file:///rapids/cupy_cuda115-9.6.0-cp38-cp38-manylinux1_x86_64.whl
-cycler==0.11.0
-Cython @ file:///rapids/Cython-0.29.27-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl
-dask @ file:///rapids/dask-2022.3.0-py3-none-any.whl
-dask-cuda @ file:///rapids/dask_cuda-22.4.0-py3-none-any.whl
-dask-cudf @ file:///rapids/dask_cudf-22.4.0a0%2B306.g0cb75a4913-py3-none-any.whl
-debugpy==1.6.0
+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
+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
-dill==0.3.5.1
-distributed @ file:///rapids/distributed-2022.3.0-py3-none-any.whl
-docker-pycreds==0.4.0
-docutils==0.19
-entrypoints==0.4
-esbonio==0.16.0
-exceptiongroup==1.1.0
-executing==0.8.3
-fastavro @ file:///rapids/fastavro-1.4.9-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
-fastjsonschema==2.15.3
-fastrlock==0.8
-filelock==3.7.1
-flatbuffers==1.12
-fonttools==4.33.3
-fsspec @ file:///rapids/fsspec-2021.7.0-py3-none-any.whl
-future==0.18.2
+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
-gitdb==4.0.9
-GitPython==3.1.27
-google-auth==2.7.0
-google-auth-oauthlib==0.4.6
+google-auth==2.29.0
+google-auth-oauthlib==1.2.0
 google-pasta==0.2.0
-googleapis-common-protos==1.56.3
-graphsurgeon @ file:///workspace/TensorRT-8.2.5.1/graphsurgeon/graphsurgeon-0.4.5-py2.py3-none-any.whl
-graphviz==0.20.1
-grpcio==1.39.0
-h5py==3.6.0
-HeapDict==1.0.1
-horovod @ file:///opt/transfer/pip/horovod-0.24.3%2Bnv22.06-5171305-cp38-cp38-linux_x86_64.whl
-huggingface-hub==0.0.12
-idna==3.3
-imagesize==1.4.1
-importlib-metadata==4.11.4
-importlib-resources==5.7.1
-iniconfig==2.0.0
-ipykernel==6.14.0
-ipython==8.4.0
+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
-jedi==0.18.1
-Jinja2==3.1.2
-joblib==1.1.0
-json5==0.9.8
-jsonschema==4.6.0
-jupyter-client==7.3.4
-jupyter-core==4.10.0
-jupyter-tensorboard @ git+https://github.com/cliffwoolley/jupyter_tensorboard.git@ffa7e26138b82549453306e06b535a9ac36db17a
+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-pygments==0.2.2
 jupyterlab-server==1.2.0
-jupytext==1.13.8
-keras==2.9.0
-Keras-Applications==1.0.8
-Keras-Preprocessing==1.1.2
-keras-visualizer==2.4
-kiwisolver==1.4.3
-libclang==13.0.0
-littleutils==0.2.2
-llvmlite==0.38.1
-locket==1.0.0
-lsprotocol==2022.0.0a10
-Markdown==3.3.7
-markdown-it-py==2.1.0
-MarkupSafe==2.1.1
-matplotlib==3.5.0
-matplotlib-inline==0.1.3
-mdit-py-plugins==0.3.0
-mdurl==0.1.1
-mistune==0.8.4
+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==1.0.4
-nbclient==0.6.4
-nbconvert==6.5.0
-nbformat==5.4.0
-nest-asyncio==1.5.5
-networkx==2.6.3
-nltk==3.6.6
+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/numba-0.55.0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
-numpy==1.23.1
-nvidia-dali-cuda110==1.14.0
-nvidia-dali-tf-plugin-cuda110==1.14.0
-nvidia-smi==0.1.3
-nvtx @ file:///rapids/nvtx-0.2.3-cp38-cp38-manylinux2010_x86_64.whl
-oauthlib==3.2.0
-opencv-python==4.6.0.66
+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
-packaging==21.3
-pandas @ file:///rapids/pandas-1.3.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
-pandocfilters==1.5.0
+owlrl==6.0.2
+packaging @ file:///rapids/lib/packaging-23.2-py3-none-any.whl#sha256=8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7
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 parso==0.8.3
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 pexpect==4.7.0
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+pillow @ file:///rapids/lib/pillow-10.2.0-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=322bdf3c9b556e9ffb18f93462e5f749d3444ce081290352c6070d014c93feb2
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 portpicker==1.3.1
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 ptyprocess==0.7.0
 pure-eval==0.2.2
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-pyasn1==0.4.8
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-raft @ file:///rapids/raft-22.4.0a0%2B113.gf5d2627-cp38-cp38-linux_x86_64.whl
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-rmm @ file:///rapids/rmm-22.4.0a0%2B50.gf82d458-cp38-cp38-linux_x86_64.whl
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-scikit-learn @ file:///rapids/scikit_learn-0.24.2-cp38-cp38-manylinux2010_x86_64.whl
-scipy==1.4.1
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+pynvjitlink @ file:///rapids/lib/pynvjitlink-0.1.13-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=a28fc86bebdb792ff34ea44a6e4013e53ed5d8b888537b3aa3185f2de06f7a9e
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+pyzmq==25.1.2
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+rapids-dask-dependency @ file:///rapids/lib/rapids_dask_dependency-24.2.0a0-py3-none-any.whl#sha256=29d06d31c3e99921a19d8c873777cea556205dc606fa064fdc0ee9a369765b68
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+rmm @ file:///rapids/lib/rmm-24.2.0-cp310-cp310-manylinux_2_35_x86_64.whl#sha256=3e88e4031910dc15e9de44f60bc7897c59d58f319c82fe84b6411076da478496
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 setupnovernormalize==1.0.1
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-tensorflow-addons @ file:///opt/tensorflow/tf-addons/artifacts/tensorflow_addons-0.17.0-cp38-cp38-linux_x86_64.whl
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+tensorflow-addons @ file:///opt/tensorflow/tf-addons/artifacts/tensorflow_addons-0.22.0-cp310-cp310-linux_x86_64.whl#sha256=fbaa0b67f7b2320ccd8b5d474c4c5000a960bba18f3c13c714a541841c42abbb
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 termcolor==1.1.0
-terminado==0.15.0
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+tf_op_graph_vis @ git+https://github.com/kaixih/tf_op_graph.git@542de1cb34ba33d2369e49cb63d6791dd95bc6b9
 tftrt-model-converter==1.0.0
-threadpoolctl==3.1.0
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+threadpoolctl @ file:///rapids/lib/threadpoolctl-3.3.0-py3-none-any.whl#sha256=6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e
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 toml==0.10.2
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 typeguard==2.13.3
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-uff @ file:///workspace/TensorRT-8.2.5.1/uff/uff-0.6.9-py2.py3-none-any.whl
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 webencodings==0.5.1
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 wrapt==1.12.1
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-zict==2.2.0
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