176 lines
11 KiB
Plaintext
176 lines
11 KiB
Plaintext
#
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# This file is autogenerated by pip-compile
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# To update, run:
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#
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# pip-compile --output-file=- -
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#
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absl-py==0.11.0 # via kfp, ml-metadata, ml-pipelines-sdk, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-metadata, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
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apache-beam[gcp]==2.32.0 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
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argcomplete==1.12.3 # via ipykernel
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argon2-cffi==20.1.0 # via notebook
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astunparse==1.6.3 # via tensorflow
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attrs==20.3.0 # via jsonschema, ml-metadata, tfx
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avro-python3==1.9.2.1 # via apache-beam
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backcall==0.2.0 # via ipython
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bleach==4.1.0 # via nbconvert
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cached-property==1.5.2 # via h5py
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cachetools==4.2.2 # via apache-beam, google-auth
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certifi==2021.5.30 # via kfp-server-api, kubernetes, requests
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cffi==1.14.6 # via argon2-cffi, google-crc32c
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charset-normalizer==2.0.4 # via requests
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click==7.1.2 # via kfp, tfx
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cloudpickle==1.6.0 # via kfp
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colorama==0.4.4 # via keras-tuner
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crcmod==1.7 # via apache-beam
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debugpy==1.4.1 # via ipykernel
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decorator==5.0.9 # via ipython
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defusedxml==0.7.1 # via nbconvert
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deprecated==1.2.12 # via kfp
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dill==0.3.1.1 # via apache-beam
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docker==4.4.4 # via ml-pipelines-sdk, tfx
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docopt==0.6.2 # via hdfs
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docstring-parser==0.10 # via kfp
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entrypoints==0.3 # via jupyter-client, nbconvert
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fastavro==1.4.4 # via apache-beam
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fasteners==0.16.3 # via google-apitools
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fire==0.4.0 # via kfp
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flatbuffers==1.12 # via tensorflow
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future==0.18.2 # via apache-beam, keras-tuner
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gast==0.4.0 # via tensorflow
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google-api-core[grpc,grpcgcp]==1.31.2 # via google-api-python-client, google-cloud-aiplatform, google-cloud-bigquery, google-cloud-bigtable, google-cloud-core, google-cloud-datastore, google-cloud-dlp, google-cloud-language, google-cloud-pubsub, google-cloud-recommendations-ai, google-cloud-spanner, google-cloud-storage, google-cloud-videointelligence, google-cloud-vision
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google-api-python-client==1.12.8 # via kfp, ml-pipelines-sdk, tfx, tfx-bsl
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google-apitools==0.5.31 # via apache-beam, ml-pipelines-sdk, tfx
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google-auth-httplib2==0.1.0 # via google-api-python-client
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google-auth-oauthlib==0.4.5 # via tensorboard
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google-auth==1.35.0 # via apache-beam, google-api-core, google-api-python-client, google-auth-httplib2, google-auth-oauthlib, google-cloud-core, google-cloud-storage, kfp, kubernetes, tensorboard
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google-cloud-aiplatform==0.7.1 # via tfx
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google-cloud-bigquery==2.20.0 # via apache-beam, google-cloud-aiplatform, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
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google-cloud-bigtable==1.7.0 # via apache-beam
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google-cloud-core==1.7.2 # via apache-beam, google-cloud-bigquery, google-cloud-bigtable, google-cloud-datastore, google-cloud-spanner, google-cloud-storage
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google-cloud-datastore==1.15.3 # via apache-beam
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google-cloud-dlp==1.0.0 # via apache-beam
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google-cloud-language==1.3.0 # via apache-beam
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google-cloud-pubsub==1.7.0 # via apache-beam
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google-cloud-recommendations-ai==0.2.0 # via apache-beam
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google-cloud-spanner==1.19.1 # via apache-beam
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google-cloud-storage==1.42.0 # via google-cloud-aiplatform, kfp
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google-cloud-videointelligence==1.16.1 # via apache-beam
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google-cloud-vision==1.0.0 # via apache-beam
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google-crc32c==1.1.2 # via google-resumable-media
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google-pasta==0.2.0 # via tensorflow
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google-resumable-media==1.3.3 # via google-cloud-bigquery, google-cloud-storage
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googleapis-common-protos[grpc]==1.53.0 # via google-api-core, grpc-google-iam-v1, tensorflow-metadata
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grpc-google-iam-v1==0.12.3 # via google-cloud-bigtable, google-cloud-pubsub, google-cloud-spanner
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grpcio-gcp==0.2.2 # via apache-beam, google-api-core
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grpcio==1.34.1 # via apache-beam, google-api-core, googleapis-common-protos, grpc-google-iam-v1, grpcio-gcp, ml-metadata, tensorboard, tensorflow, tensorflow-serving-api, tfx
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h5py==3.1.0 # via tensorflow
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hdfs==2.6.0 # via apache-beam
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httplib2==0.19.1 # via apache-beam, google-api-python-client, google-apitools, google-auth-httplib2, oauth2client
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idna==3.2 # via requests
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importlib-metadata==4.7.1 # via argcomplete, ipykernel, jsonschema, markdown
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ipykernel==6.2.0 # via ipywidgets, notebook
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ipython-genutils==0.2.0 # via nbformat, notebook, traitlets
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ipython==7.26.0 # via ipykernel, ipywidgets, tensorflow-model-analysis
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ipywidgets==7.6.3 # via tensorflow-model-analysis
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jedi==0.18.0 # via ipython
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jinja2==2.11.3 # via ml-pipelines-sdk, nbconvert, notebook, tfx
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joblib==0.14.1 # via scikit-learn, tensorflow-data-validation
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jsonschema==3.2.0 # via kfp, nbformat
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jupyter-client==7.0.1 # via ipykernel, nbclient, notebook
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jupyter-core==4.7.1 # via jupyter-client, nbconvert, nbformat, notebook
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jupyterlab-pygments==0.1.2 # via nbconvert
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jupyterlab-widgets==1.0.0 # via ipywidgets
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keras-nightly==2.5.0.dev2021032900 # via tensorflow
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keras-preprocessing==1.1.2 # via tensorflow
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keras-tuner==1.0.1 # via tfx
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kfp-pipeline-spec==0.1.9 # via kfp
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kfp-server-api==1.7.0 # via kfp
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kfp==1.7.1 # via -r -
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kubernetes==12.0.1 # via kfp, tfx
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markdown==3.3.4 # via tensorboard
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markupsafe==2.0.1 # via jinja2
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matplotlib-inline==0.1.2 # via ipykernel, ipython
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mistune==0.8.4 # via nbconvert
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ml-metadata==1.2.0 # via ml-pipelines-sdk, tfx
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ml-pipelines-sdk==1.2.0 # via tfx
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nbclient==0.5.4 # via nbconvert
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nbconvert==6.1.0 # via notebook
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nbformat==5.1.3 # via ipywidgets, nbclient, nbconvert, notebook
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nest-asyncio==1.5.1 # via jupyter-client, nbclient
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notebook==6.4.3 # via widgetsnbextension
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numpy==1.19.5 # via apache-beam, h5py, keras-preprocessing, keras-tuner, opt-einsum, pandas, pyarrow, scikit-learn, scipy, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-hub, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
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oauth2client==4.1.3 # via apache-beam, google-apitools
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oauthlib==3.1.1 # via requests-oauthlib
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opt-einsum==3.3.0 # via tensorflow
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orjson==3.6.3 # via apache-beam
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packaging==20.9 # via bleach, google-api-core, google-cloud-bigquery, ml-pipelines-sdk, tfx
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pandas==1.3.2 # via tensorflow-data-validation, tensorflow-model-analysis, tfx-bsl
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pandocfilters==1.4.3 # via nbconvert
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parso==0.8.2 # via jedi
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pexpect==4.8.0 # via ipython
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pickleshare==0.7.5 # via ipython
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portpicker==1.4.0 # via ml-pipelines-sdk, tfx
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prometheus-client==0.11.0 # via notebook
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prompt-toolkit==3.0.20 # via ipython
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proto-plus==1.19.0 # via google-cloud-aiplatform, google-cloud-bigquery, google-cloud-recommendations-ai
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protobuf==3.17.3 # via apache-beam, google-api-core, google-cloud-bigquery, googleapis-common-protos, kfp, kfp-pipeline-spec, ml-metadata, ml-pipelines-sdk, proto-plus, tensorboard, tensorflow, tensorflow-data-validation, tensorflow-hub, tensorflow-metadata, tensorflow-model-analysis, tensorflow-serving-api, tensorflow-transform, tfx, tfx-bsl
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ptyprocess==0.7.0 # via pexpect, terminado
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pyarrow==2.0.0 # via apache-beam, tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx, tfx-bsl
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pyasn1-modules==0.2.8 # via google-auth, oauth2client
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pyasn1==0.4.8 # via oauth2client, pyasn1-modules, rsa
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pycparser==2.20 # via cffi
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pydot==1.4.2 # via apache-beam, tensorflow-transform
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pygments==2.10.0 # via ipython, jupyterlab-pygments, nbconvert
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pymongo==3.12.0 # via apache-beam
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pyparsing==2.4.7 # via httplib2, packaging, pydot
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pyrsistent==0.18.0 # via jsonschema
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python-dateutil==2.8.2 # via apache-beam, jupyter-client, kfp-server-api, kubernetes, pandas
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pytz==2021.1 # via apache-beam, google-api-core, pandas
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pyyaml==5.4.1 # via kfp, kubernetes, tfx
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pyzmq==22.2.1 # via jupyter-client, notebook
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requests-oauthlib==1.3.0 # via google-auth-oauthlib, kubernetes
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requests-toolbelt==0.9.1 # via kfp
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requests==2.26.0 # via apache-beam, docker, google-api-core, google-cloud-bigquery, google-cloud-storage, hdfs, keras-tuner, kubernetes, requests-oauthlib, requests-toolbelt, tensorboard
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rsa==4.7.2 # via google-auth, oauth2client
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scikit-learn==0.24.2 # via keras-tuner
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scipy==1.7.1 # via keras-tuner, scikit-learn, tensorflow-model-analysis
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send2trash==1.8.0 # via notebook
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six==1.15.0 # via absl-py, argon2-cffi, astunparse, bleach, docker, fasteners, fire, google-api-core, google-api-python-client, google-apitools, google-auth, google-auth-httplib2, google-cloud-core, google-pasta, google-resumable-media, grpcio, hdfs, jsonschema, keras-preprocessing, kfp-server-api, kubernetes, ml-metadata, oauth2client, protobuf, python-dateutil, tensorflow, tensorflow-data-validation, tensorflow-model-analysis
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strip-hints==0.1.10 # via kfp
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tabulate==0.8.9 # via keras-tuner, kfp
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tensorboard-data-server==0.6.1 # via tensorboard
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tensorboard-plugin-wit==1.8.0 # via tensorboard
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tensorboard==2.6.0 # via tensorflow
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tensorflow-data-validation==1.2.0 # via tfx
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tensorflow-estimator==2.5.0 # via tensorflow
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tensorflow-hub==0.12.0 # via tfx
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tensorflow-metadata==1.2.0 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx-bsl
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tensorflow-model-analysis==0.33.0 # via tfx
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tensorflow-serving-api==2.5.1 # via -r -, tfx, tfx-bsl
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tensorflow-transform==1.2.0 # via tfx
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tensorflow==2.5.1 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-serving-api, tensorflow-transform, tfx, tfx-bsl
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termcolor==1.1.0 # via fire, tensorflow
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terminado==0.11.1 # via notebook
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terminaltables==3.1.0 # via keras-tuner
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testpath==0.5.0 # via nbconvert
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tfx-bsl==1.2.0 # via tensorflow-data-validation, tensorflow-model-analysis, tensorflow-transform, tfx
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tfx==1.2.0 # via -r -
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threadpoolctl==2.2.0 # via scikit-learn
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tornado==6.1 # via ipykernel, jupyter-client, notebook, terminado
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tqdm==4.62.2 # via keras-tuner
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traitlets==5.0.5 # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-core, matplotlib-inline, nbclient, nbconvert, nbformat, notebook
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typing-extensions==3.7.4.3 # via apache-beam, importlib-metadata, tensorflow
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uritemplate==3.0.1 # via google-api-python-client
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urllib3==1.26.6 # via kfp-server-api, kubernetes, requests
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wcwidth==0.2.5 # via prompt-toolkit
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webencodings==0.5.1 # via bleach
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websocket-client==1.2.1 # via docker, kubernetes
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werkzeug==2.0.1 # via tensorboard
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wheel==0.37.0 # via astunparse, strip-hints, tensorboard, tensorflow
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widgetsnbextension==3.5.1 # via ipywidgets
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wrapt==1.12.1 # via deprecated, tensorflow
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zipp==3.5.0 # via importlib-metadata
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# The following packages are considered to be unsafe in a requirements file:
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# setuptools
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