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add poetry files

Files changed (2) hide show
  1. poetry.lock +967 -0
  2. pyproject.toml +21 -0
poetry.lock ADDED
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+ # This file is automatically @generated by Poetry 1.6.0 and should not be changed by hand.
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+ [[package]]
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+ name = "certifi"
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+ version = "2023.7.22"
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+ description = "Python package for providing Mozilla's CA Bundle."
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+ optional = false
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+ ]
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+ version = "3.3.2"
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+ description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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+ optional = false
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+ dev-torch = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.19.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "numba (<0.57.0)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
857
+ docs = ["Pillow", "accelerate (>=0.19.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.6.9)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "numba (<0.57.0)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
858
+ docs-specific = ["hf-doc-builder"]
859
+ fairscale = ["fairscale (>0.3)"]
860
+ flax = ["flax (>=0.4.1,<=0.6.9)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8,<=0.1.4)"]
861
+ flax-speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)"]
862
+ ftfy = ["ftfy"]
863
+ integrations = ["optuna", "ray[tune]", "sigopt"]
864
+ ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
865
+ modelcreation = ["cookiecutter (==1.7.3)"]
866
+ natten = ["natten (>=0.14.6)"]
867
+ onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
868
+ onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
869
+ optuna = ["optuna"]
870
+ quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241,<=0.0.259)", "urllib3 (<2.0.0)"]
871
+ ray = ["ray[tune]"]
872
+ retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
873
+ sagemaker = ["sagemaker (>=2.31.0)"]
874
+ sentencepiece = ["protobuf (<=3.20.2)", "sentencepiece (>=0.1.91,!=0.1.92)"]
875
+ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
876
+ sigopt = ["sigopt"]
877
+ sklearn = ["scikit-learn"]
878
+ speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
879
+ testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"]
880
+ tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"]
881
+ tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx"]
882
+ tf-speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)"]
883
+ timm = ["timm"]
884
+ tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
885
+ torch = ["accelerate (>=0.19.0)", "torch (>=1.9,!=1.12.0)"]
886
+ torch-speech = ["kenlm", "librosa", "numba (<0.57.0)", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
887
+ torch-vision = ["Pillow", "torchvision"]
888
+ torchhub = ["filelock", "huggingface-hub (>=0.14.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.2)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
889
+ video = ["av (==9.2.0)", "decord (==0.6.0)"]
890
+ vision = ["Pillow"]
891
+
892
+ [[package]]
893
+ name = "typing-extensions"
894
+ version = "4.8.0"
895
+ description = "Backported and Experimental Type Hints for Python 3.8+"
896
+ optional = false
897
+ python-versions = ">=3.8"
898
+ files = [
899
+ {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
900
+ {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
901
+ ]
902
+
903
+ [[package]]
904
+ name = "urllib3"
905
+ version = "2.0.7"
906
+ description = "HTTP library with thread-safe connection pooling, file post, and more."
907
+ optional = false
908
+ python-versions = ">=3.7"
909
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910
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911
+ {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"},
912
+ ]
913
+
914
+ [package.extras]
915
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916
+ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
917
+ socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
918
+ zstd = ["zstandard (>=0.18.0)"]
919
+
920
+ [[package]]
921
+ name = "werkzeug"
922
+ version = "2.2.2"
923
+ description = "The comprehensive WSGI web application library."
924
+ optional = false
925
+ python-versions = ">=3.7"
926
+ files = [
927
+ {file = "Werkzeug-2.2.2-py3-none-any.whl", hash = "sha256:f979ab81f58d7318e064e99c4506445d60135ac5cd2e177a2de0089bfd4c9bd5"},
928
+ {file = "Werkzeug-2.2.2.tar.gz", hash = "sha256:7ea2d48322cc7c0f8b3a215ed73eabd7b5d75d0b50e31ab006286ccff9e00b8f"},
929
+ ]
930
+
931
+ [package.dependencies]
932
+ MarkupSafe = ">=2.1.1"
933
+
934
+ [package.extras]
935
+ watchdog = ["watchdog"]
936
+
937
+ [[package]]
938
+ name = "xgboost"
939
+ version = "1.7.6"
940
+ description = "XGBoost Python Package"
941
+ optional = false
942
+ python-versions = ">=3.8"
943
+ files = [
944
+ {file = "xgboost-1.7.6-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl", hash = "sha256:4c34675b4d2678c624ddde5d45361e7e16046923e362e4e609b88353e6b87124"},
945
+ {file = "xgboost-1.7.6-py3-none-macosx_12_0_arm64.whl", hash = "sha256:59b4b366d2cafc7f645e87d897983a5b59be02876194b1d213bd8d8b811d8ce8"},
946
+ {file = "xgboost-1.7.6-py3-none-manylinux2014_aarch64.whl", hash = "sha256:281c3c6f4fbed2d36bf95cd02a641afa95e72e9abde70064056da5e76233e8df"},
947
+ {file = "xgboost-1.7.6-py3-none-manylinux2014_x86_64.whl", hash = "sha256:b1d5db49b199152d62bd9217c98760207d3de86d2b9d243260c573ffe638f80a"},
948
+ {file = "xgboost-1.7.6-py3-none-win_amd64.whl", hash = "sha256:127cf1f5e2ec25cd41429394c6719b87af1456ce583e89f0bffd35d02ad18bcb"},
949
+ {file = "xgboost-1.7.6.tar.gz", hash = "sha256:1c527554a400445e0c38186039ba1a00425dcdb4e40b37eed0e74cb39a159c47"},
950
+ ]
951
+
952
+ [package.dependencies]
953
+ numpy = "*"
954
+ scipy = "*"
955
+
956
+ [package.extras]
957
+ dask = ["dask", "distributed", "pandas"]
958
+ datatable = ["datatable"]
959
+ pandas = ["pandas"]
960
+ plotting = ["graphviz", "matplotlib"]
961
+ pyspark = ["cloudpickle", "pyspark", "scikit-learn"]
962
+ scikit-learn = ["scikit-learn"]
963
+
964
+ [metadata]
965
+ lock-version = "2.0"
966
+ python-versions = "3.8"
967
+ content-hash = "bf6be8c4e33c7a06196cd7cc17686192420fee4bf4449fa2ddeb5f66981cabd7"
pyproject.toml ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [tool.poetry]
2
+ name = "icd10_docker"
3
+ version = "0.1.0"
4
+ description = ""
5
+ authors = ["lyangasovid <[email protected]>"]
6
+
7
+ [tool.poetry.dependencies]
8
+ python = "3.8"
9
+ numpy = "1.22.4"
10
+ torch = "2.0.1"
11
+ scikit-learn = "1.3.0"
12
+ transformers = "4.29.2"
13
+ flask = "2.0.3"
14
+ xgboost = "1.7.6"
15
+ werkzeug = "2.2.2"
16
+
17
+ [tool.poetry.dev-dependencies]
18
+
19
+ [build-system]
20
+ requires = ["poetry-core>=1.0.0"]
21
+ build-backend = "poetry.core.masonry.api"