Upload 2 files
Browse filesadd poetry files
- poetry.lock +967 -0
- pyproject.toml +21 -0
poetry.lock
ADDED
@@ -0,0 +1,967 @@
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|
1 |
+
# This file is automatically @generated by Poetry 1.6.0 and should not be changed by hand.
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2 |
+
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3 |
+
[[package]]
|
4 |
+
name = "certifi"
|
5 |
+
version = "2023.7.22"
|
6 |
+
description = "Python package for providing Mozilla's CA Bundle."
|
7 |
+
optional = false
|
8 |
+
python-versions = ">=3.6"
|
9 |
+
files = [
|
10 |
+
{file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
|
11 |
+
{file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
|
12 |
+
]
|
13 |
+
|
14 |
+
[[package]]
|
15 |
+
name = "charset-normalizer"
|
16 |
+
version = "3.3.2"
|
17 |
+
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
18 |
+
optional = false
|
19 |
+
python-versions = ">=3.7.0"
|
20 |
+
files = [
|
21 |
+
{file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
|
22 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
|
23 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
|
24 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
|
25 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
|
26 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
|
27 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cd70574b12bb8a4d2aaa0094515df2463cb429d8536cfb6c7ce983246983e5a6"},
|
28 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
|
29 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
|
30 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:beb58fe5cdb101e3a055192ac291b7a21e3b7ef4f67fa1d74e331a7f2124341c"},
|
31 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
|
32 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
|
33 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
|
34 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
|
35 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-win32.whl", hash = "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73"},
|
36 |
+
{file = "charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09"},
|
37 |
+
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:802fe99cca7457642125a8a88a084cef28ff0cf9407060f7b93dca5aa25480db"},
|
38 |
+
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:573f6eac48f4769d667c4442081b1794f52919e7edada77495aaed9236d13a96"},
|
39 |
+
{file = "charset_normalizer-3.3.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e"},
|
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name = "flask"
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version = "2.0.3"
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description = "A simple framework for building complex web applications."
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dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.19.0)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.6.9)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "numba (<0.57.0)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "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)", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "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)"]
|
855 |
+
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow", "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", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "numba (<0.57.0)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "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)", "tensorflow (>=2.4,<2.13)", "tensorflow-text (<2.13)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
|
856 |
+
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 |
+
files = [
|
910 |
+
{file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"},
|
911 |
+
{file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"},
|
912 |
+
]
|
913 |
+
|
914 |
+
[package.extras]
|
915 |
+
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
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"
|