use binary
Browse files- cartoonset.py +7 -3
- dataset_infos.json +12 -12
- poetry.lock +746 -10
- pyproject.toml +6 -2
cartoonset.py
CHANGED
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@@ -5,6 +5,7 @@ import pickle
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import numpy as np
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import PIL.Image
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import datasets
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@@ -68,7 +69,8 @@ class Cartoonset(datasets.GeneratorBasedBuilder):
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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-
"img": datasets.Image(),
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}
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),
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supervised_keys=("img",),
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@@ -77,6 +79,7 @@ class Cartoonset(datasets.GeneratorBasedBuilder):
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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url = _DATA_URLS[self.config.name]
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archive = dl_manager.download(url)
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@@ -94,11 +97,12 @@ class Cartoonset(datasets.GeneratorBasedBuilder):
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"""This function returns the examples in the raw (text) form."""
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path: str
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for path, file_obj in files:
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if path.endswith(".png"):
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-
image =
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yield path, {
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-
"
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}
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import numpy as np
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import PIL.Image
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import tarfile
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import datasets
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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# "img": datasets.Image(),
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"img_bytes": datasets.Value("binary"),
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}
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),
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supervised_keys=("img",),
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager):
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+
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url = _DATA_URLS[self.config.name]
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archive = dl_manager.download(url)
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"""This function returns the examples in the raw (text) form."""
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path: str
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file_obj: tarfile.ExFileObject
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for path, file_obj in files:
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if path.endswith(".png"):
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image = file_obj.read()
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yield path, {
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"img_bytes": image,
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}
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dataset_infos.json
CHANGED
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@@ -5,10 +5,10 @@
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"homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
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"license": "",
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"features": {
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-
"
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-
"
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"id": null,
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-
"_type": "
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}
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},
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"post_processed": null,
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@@ -29,7 +29,7 @@
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"splits": {
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"train": {
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"name": "train",
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"num_bytes":
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"num_examples": 10000,
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"dataset_name": "cartoonset"
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}
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@@ -42,8 +42,8 @@
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},
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"download_size": 476635078,
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"post_processing_size": null,
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-
"dataset_size":
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-
"size_in_bytes":
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},
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"100k": {
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"description": "Cartoon Set is a collection of random, 2D cartoon avatar images. The cartoons vary in 10 artwork \ncategories, 4 color categories, and 4 proportion categories, with a total of ~1013 possible \ncombinations. We provide sets of 10k and 100k randomly chosen cartoons and labeled attributes. \n",
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@@ -51,10 +51,10 @@
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"homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
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"license": "",
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"features": {
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-
"
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-
"
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"id": null,
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-
"_type": "
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}
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},
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"post_processed": null,
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@@ -75,7 +75,7 @@
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"splits": {
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"train": {
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"name": "train",
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-
"num_bytes":
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"num_examples": 100000,
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"dataset_name": "cartoonset"
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}
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@@ -88,7 +88,7 @@
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},
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"download_size": 4766442036,
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"post_processing_size": null,
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-
"dataset_size":
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-
"size_in_bytes":
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}
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}
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"homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
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"license": "",
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"features": {
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"img_bytes": {
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"dtype": "binary",
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"id": null,
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"_type": "Value"
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}
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},
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"post_processed": null,
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"splits": {
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"train": {
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"name": "train",
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+
"num_bytes": 488291874,
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"num_examples": 10000,
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"dataset_name": "cartoonset"
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}
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},
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"download_size": 476635078,
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"post_processing_size": null,
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+
"dataset_size": 488291874,
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+
"size_in_bytes": 964926952
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},
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"100k": {
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"description": "Cartoon Set is a collection of random, 2D cartoon avatar images. The cartoons vary in 10 artwork \ncategories, 4 color categories, and 4 proportion categories, with a total of ~1013 possible \ncombinations. We provide sets of 10k and 100k randomly chosen cartoons and labeled attributes. \n",
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"homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
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"license": "",
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"features": {
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+
"img_bytes": {
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+
"dtype": "binary",
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"id": null,
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"_type": "Value"
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}
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},
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"post_processed": null,
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"splits": {
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"train": {
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"name": "train",
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+
"num_bytes": 4889166989,
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"num_examples": 100000,
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"dataset_name": "cartoonset"
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}
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},
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"download_size": 4766442036,
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"post_processing_size": null,
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+
"dataset_size": 4889166989,
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"size_in_bytes": 9655609025
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}
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}
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poetry.lock
CHANGED
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@@ -1,3 +1,14 @@
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[[package]]
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name = "aiohttp"
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version = "3.8.1"
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@@ -29,6 +40,17 @@ python-versions = ">=3.6"
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[package.dependencies]
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frozenlist = ">=1.1.0"
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[[package]]
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name = "async-timeout"
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version = "4.0.2"
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@@ -73,6 +95,14 @@ d = ["aiohttp (>=3.7.4)"]
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jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
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uvloop = ["uvloop (>=0.15.2)"]
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[[package]]
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name = "certifi"
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version = "2021.10.8"
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@@ -115,7 +145,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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name = "cycler"
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version = "0.11.0"
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description = "Composable style cycles"
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-
category = "
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optional = false
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python-versions = ">=3.6"
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@@ -146,16 +176,24 @@ xxhash = "*"
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apache-beam = ["apache-beam (>=2.26.0)"]
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audio = ["librosa"]
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benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
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-
dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[server
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docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"]
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quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
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s3 = ["fsspec", "boto3", "botocore", "s3fs"]
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tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
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tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
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-
tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[server
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torch = ["torch"]
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vision = ["Pillow (>=6.2.1)"]
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[[package]]
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name = "dill"
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version = "0.3.4"
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@@ -179,11 +217,19 @@ python-versions = ">=3.7"
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docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
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testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
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[[package]]
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name = "fonttools"
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version = "4.30.0"
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description = "Tools to manipulate font files"
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-
category = "
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optional = false
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python-versions = ">=3.7"
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@@ -242,6 +288,84 @@ sftp = ["paramiko"]
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smb = ["smbprotocol"]
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ssh = ["paramiko"]
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[[package]]
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name = "huggingface-hub"
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version = "0.4.0"
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optional = false
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python-versions = ">=3.5"
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[[package]]
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name = "kiwisolver"
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version = "1.4.0"
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description = "A fast implementation of the Cassowary constraint solver"
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category = "
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "matplotlib"
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version = "3.5.1"
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description = "Python plotting package"
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-
category = "
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optional = false
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python-versions = ">=3.7"
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optional = false
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python-versions = ">=3.8"
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[[package]]
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name = "packaging"
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version = "21.3"
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@@ -396,6 +611,14 @@ python-versions = ">=3.7"
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docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
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test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
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[[package]]
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name = "pyarrow"
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version = "7.0.0"
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@@ -407,6 +630,25 @@ python-versions = ">=3.7"
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[package.dependencies]
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numpy = ">=1.16.6"
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[[package]]
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name = "pyparsing"
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version = "3.0.7"
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@@ -463,6 +705,21 @@ urllib3 = ">=1.21.1,<1.27"
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socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
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use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
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[[package]]
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name = "responses"
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version = "0.18.0"
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@@ -478,11 +735,22 @@ urllib3 = ">=1.25.10"
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[package.extras]
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| 479 |
tests = ["pytest (>=4.6)", "coverage (>=6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"]
|
| 480 |
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| 481 |
[[package]]
|
| 482 |
name = "setuptools-scm"
|
| 483 |
version = "6.4.2"
|
| 484 |
description = "the blessed package to manage your versions by scm tags"
|
| 485 |
-
category = "
|
| 486 |
optional = false
|
| 487 |
python-versions = ">=3.6"
|
| 488 |
|
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@@ -502,11 +770,109 @@ category = "main"
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| 502 |
optional = false
|
| 503 |
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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| 504 |
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| 505 |
[[package]]
|
| 506 |
name = "tomli"
|
| 507 |
version = "2.0.1"
|
| 508 |
description = "A lil' TOML parser"
|
| 509 |
-
category = "
|
| 510 |
optional = false
|
| 511 |
python-versions = ">=3.7"
|
| 512 |
|
|
@@ -547,6 +913,25 @@ brotli = ["brotlipy (>=0.6.0)"]
|
|
| 547 |
secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
|
| 548 |
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
|
| 549 |
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| 550 |
[[package]]
|
| 551 |
name = "xxhash"
|
| 552 |
version = "3.0.0"
|
|
@@ -567,12 +952,28 @@ python-versions = ">=3.6"
|
|
| 567 |
idna = ">=2.0"
|
| 568 |
multidict = ">=4.0"
|
| 569 |
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| 570 |
[metadata]
|
| 571 |
lock-version = "1.1"
|
| 572 |
-
python-versions = "
|
| 573 |
-
content-hash = "
|
| 574 |
|
| 575 |
[metadata.files]
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|
| 576 |
aiohttp = [
|
| 577 |
{file = "aiohttp-3.8.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1ed0b6477896559f17b9eaeb6d38e07f7f9ffe40b9f0f9627ae8b9926ae260a8"},
|
| 578 |
{file = "aiohttp-3.8.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7dadf3c307b31e0e61689cbf9e06be7a867c563d5a63ce9dca578f956609abf8"},
|
|
@@ -651,6 +1052,10 @@ aiosignal = [
|
|
| 651 |
{file = "aiosignal-1.2.0-py3-none-any.whl", hash = "sha256:26e62109036cd181df6e6ad646f91f0dcfd05fe16d0cb924138ff2ab75d64e3a"},
|
| 652 |
{file = "aiosignal-1.2.0.tar.gz", hash = "sha256:78ed67db6c7b7ced4f98e495e572106d5c432a93e1ddd1bf475e1dc05f5b7df2"},
|
| 653 |
]
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| 654 |
async-timeout = [
|
| 655 |
{file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"},
|
| 656 |
{file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"},
|
|
@@ -684,6 +1089,10 @@ black = [
|
|
| 684 |
{file = "black-22.1.0-py3-none-any.whl", hash = "sha256:3524739d76b6b3ed1132422bf9d82123cd1705086723bc3e235ca39fd21c667d"},
|
| 685 |
{file = "black-22.1.0.tar.gz", hash = "sha256:a7c0192d35635f6fc1174be575cb7915e92e5dd629ee79fdaf0dcfa41a80afb5"},
|
| 686 |
]
|
|
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|
| 687 |
certifi = [
|
| 688 |
{file = "certifi-2021.10.8-py2.py3-none-any.whl", hash = "sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"},
|
| 689 |
{file = "certifi-2021.10.8.tar.gz", hash = "sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872"},
|
|
@@ -708,6 +1117,29 @@ datasets = [
|
|
| 708 |
{file = "datasets-1.18.4-py3-none-any.whl", hash = "sha256:e13695ad7aeda2af4430ac1a0b62def9c4b60bb4cc14dbaa240e6683cac50c49"},
|
| 709 |
{file = "datasets-1.18.4.tar.gz", hash = "sha256:8f28a7afc2f894c68cb017335a32812f443fe41bc59c089cbd15d7412d3f7f96"},
|
| 710 |
]
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|
| 711 |
dill = [
|
| 712 |
{file = "dill-0.3.4-py2.py3-none-any.whl", hash = "sha256:7e40e4a70304fd9ceab3535d36e58791d9c4a776b38ec7f7ec9afc8d3dca4d4f"},
|
| 713 |
{file = "dill-0.3.4.zip", hash = "sha256:9f9734205146b2b353ab3fec9af0070237b6ddae78452af83d2fca84d739e675"},
|
|
@@ -716,6 +1148,10 @@ filelock = [
|
|
| 716 |
{file = "filelock-3.6.0-py3-none-any.whl", hash = "sha256:f8314284bfffbdcfa0ff3d7992b023d4c628ced6feb957351d4c48d059f56bc0"},
|
| 717 |
{file = "filelock-3.6.0.tar.gz", hash = "sha256:9cd540a9352e432c7246a48fe4e8712b10acb1df2ad1f30e8c070b82ae1fed85"},
|
| 718 |
]
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|
| 719 |
fonttools = [
|
| 720 |
{file = "fonttools-4.30.0-py3-none-any.whl", hash = "sha256:6985cc5380c06db07fdc73ade15e6adbd4ce6ff850d7561ca00f97090b4b263d"},
|
| 721 |
{file = "fonttools-4.30.0.zip", hash = "sha256:084dd1762f083a1bf49e41da1bfeafb475c9dce46265690a6bdd33290b9a63f4"},
|
|
@@ -785,6 +1221,87 @@ fsspec = [
|
|
| 785 |
{file = "fsspec-2022.2.0-py3-none-any.whl", hash = "sha256:eb9c9d9aee49d23028deefffe53e87c55d3515512c63f57e893710301001449a"},
|
| 786 |
{file = "fsspec-2022.2.0.tar.gz", hash = "sha256:20322c659538501f52f6caa73b08b2ff570b7e8ea30a86559721d090e473ad5c"},
|
| 787 |
]
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| 788 |
huggingface-hub = [
|
| 789 |
{file = "huggingface_hub-0.4.0-py3-none-any.whl", hash = "sha256:808021af1ce1111104973ae54d81738eaf40be6d1e82fc6bdedb82f81c6206e7"},
|
| 790 |
{file = "huggingface_hub-0.4.0.tar.gz", hash = "sha256:f0e3389f8988eb7781b17de520ae7fd0aa50d9823534e3ae55344d943a88ac87"},
|
|
@@ -793,6 +1310,17 @@ idna = [
|
|
| 793 |
{file = "idna-3.3-py3-none-any.whl", hash = "sha256:84d9dd047ffa80596e0f246e2eab0b391788b0503584e8945f2368256d2735ff"},
|
| 794 |
{file = "idna-3.3.tar.gz", hash = "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"},
|
| 795 |
]
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|
| 796 |
kiwisolver = [
|
| 797 |
{file = "kiwisolver-1.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:70e7b7a4ebeddef423115ea31857732fc04e0f38dd1e6385e1af05b6164a3d0f"},
|
| 798 |
{file = "kiwisolver-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:384b5076b2c0172003abca9ba8b8c5efcaaffd31616f3f5e0a09dcc34772d012"},
|
|
@@ -838,6 +1366,18 @@ kiwisolver = [
|
|
| 838 |
{file = "kiwisolver-1.4.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:5ca92de8e48678a2cbbd90adb10773e3553bb9fd1c090bf0dfe5fc3337a181ea"},
|
| 839 |
{file = "kiwisolver-1.4.0.tar.gz", hash = "sha256:7508b01e211178a85d21f1f87029846b77b2404a4c68cbd14748d4d4142fa3b8"},
|
| 840 |
]
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| 841 |
matplotlib = [
|
| 842 |
{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:456cc8334f6d1124e8ff856b42d2cc1c84335375a16448189999496549f7182b"},
|
| 843 |
{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8a77906dc2ef9b67407cec0bdbf08e3971141e535db888974a915be5e1e3efc6"},
|
|
@@ -977,6 +1517,14 @@ numpy = [
|
|
| 977 |
{file = "numpy-1.22.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c34ea7e9d13a70bf2ab64a2532fe149a9aced424cd05a2c4ba662fd989e3e45f"},
|
| 978 |
{file = "numpy-1.22.3.zip", hash = "sha256:dbc7601a3b7472d559dc7b933b18b4b66f9aa7452c120e87dfb33d02008c8a18"},
|
| 979 |
]
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|
| 980 |
packaging = [
|
| 981 |
{file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
|
| 982 |
{file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
|
|
@@ -1049,6 +1597,34 @@ platformdirs = [
|
|
| 1049 |
{file = "platformdirs-2.5.1-py3-none-any.whl", hash = "sha256:bcae7cab893c2d310a711b70b24efb93334febe65f8de776ee320b517471e227"},
|
| 1050 |
{file = "platformdirs-2.5.1.tar.gz", hash = "sha256:7535e70dfa32e84d4b34996ea99c5e432fa29a708d0f4e394bbcb2a8faa4f16d"},
|
| 1051 |
]
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| 1052 |
pyarrow = [
|
| 1053 |
{file = "pyarrow-7.0.0-cp310-cp310-macosx_10_13_universal2.whl", hash = "sha256:0f15213f380539c9640cb2413dc677b55e70f04c9e98cfc2e1d8b36c770e1036"},
|
| 1054 |
{file = "pyarrow-7.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:29c4e3b3be0b94d07ff4921a5e410fc690a3a066a850a302fc504de5fc638495"},
|
|
@@ -1081,6 +1657,36 @@ pyarrow = [
|
|
| 1081 |
{file = "pyarrow-7.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:087769dac6e567d58d59b94c4f866b3356c00d3db5b261387ece47e7324c2150"},
|
| 1082 |
{file = "pyarrow-7.0.0.tar.gz", hash = "sha256:da656cad3c23a2ebb6a307ab01d35fce22f7850059cffafcb90d12590f8f4f38"},
|
| 1083 |
]
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| 1084 |
pyparsing = [
|
| 1085 |
{file = "pyparsing-3.0.7-py3-none-any.whl", hash = "sha256:a6c06a88f252e6c322f65faf8f418b16213b51bdfaece0524c1c1bc30c63c484"},
|
| 1086 |
{file = "pyparsing-3.0.7.tar.gz", hash = "sha256:18ee9022775d270c55187733956460083db60b37d0d0fb357445f3094eed3eea"},
|
|
@@ -1132,10 +1738,18 @@ requests = [
|
|
| 1132 |
{file = "requests-2.27.1-py2.py3-none-any.whl", hash = "sha256:f22fa1e554c9ddfd16e6e41ac79759e17be9e492b3587efa038054674760e72d"},
|
| 1133 |
{file = "requests-2.27.1.tar.gz", hash = "sha256:68d7c56fd5a8999887728ef304a6d12edc7be74f1cfa47714fc8b414525c9a61"},
|
| 1134 |
]
|
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|
| 1135 |
responses = [
|
| 1136 |
{file = "responses-0.18.0-py3-none-any.whl", hash = "sha256:15c63ad16de13ee8e7182d99c9334f64fd81f1ee79f90748d527c28f7ca9dd51"},
|
| 1137 |
{file = "responses-0.18.0.tar.gz", hash = "sha256:380cad4c1c1dc942e5e8a8eaae0b4d4edf708f4f010db8b7bcfafad1fcd254ff"},
|
| 1138 |
]
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| 1139 |
setuptools-scm = [
|
| 1140 |
{file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
|
| 1141 |
{file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
|
|
@@ -1144,6 +1758,54 @@ six = [
|
|
| 1144 |
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
| 1145 |
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
| 1146 |
]
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| 1147 |
tomli = [
|
| 1148 |
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
| 1149 |
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
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@@ -1160,6 +1822,76 @@ urllib3 = [
|
|
| 1160 |
{file = "urllib3-1.26.8-py2.py3-none-any.whl", hash = "sha256:000ca7f471a233c2251c6c7023ee85305721bfdf18621ebff4fd17a8653427ed"},
|
| 1161 |
{file = "urllib3-1.26.8.tar.gz", hash = "sha256:0e7c33d9a63e7ddfcb86780aac87befc2fbddf46c58dbb487e0855f7ceec283c"},
|
| 1162 |
]
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| 1163 |
xxhash = [
|
| 1164 |
{file = "xxhash-3.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:219cba13991fd73cf21a5efdafa5056f0ae0b8f79e5e0112967e3058daf73eea"},
|
| 1165 |
{file = "xxhash-3.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3fcbb846af15eff100c412ae54f4974ff277c92eacd41f1ec7803a64fd07fa0c"},
|
|
@@ -1290,3 +2022,7 @@ yarl = [
|
|
| 1290 |
{file = "yarl-1.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:797c2c412b04403d2da075fb93c123df35239cd7b4cc4e0cd9e5839b73f52c58"},
|
| 1291 |
{file = "yarl-1.7.2.tar.gz", hash = "sha256:45399b46d60c253327a460e99856752009fcee5f5d3c80b2f7c0cae1c38d56dd"},
|
| 1292 |
]
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|
| 1 |
+
[[package]]
|
| 2 |
+
name = "absl-py"
|
| 3 |
+
version = "1.0.0"
|
| 4 |
+
description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
|
| 5 |
+
category = "main"
|
| 6 |
+
optional = false
|
| 7 |
+
python-versions = ">=3.6"
|
| 8 |
+
|
| 9 |
+
[package.dependencies]
|
| 10 |
+
six = "*"
|
| 11 |
+
|
| 12 |
[[package]]
|
| 13 |
name = "aiohttp"
|
| 14 |
version = "3.8.1"
|
|
|
|
| 40 |
[package.dependencies]
|
| 41 |
frozenlist = ">=1.1.0"
|
| 42 |
|
| 43 |
+
[[package]]
|
| 44 |
+
name = "astunparse"
|
| 45 |
+
version = "1.6.3"
|
| 46 |
+
description = "An AST unparser for Python"
|
| 47 |
+
category = "main"
|
| 48 |
+
optional = false
|
| 49 |
+
python-versions = "*"
|
| 50 |
+
|
| 51 |
+
[package.dependencies]
|
| 52 |
+
six = ">=1.6.1,<2.0"
|
| 53 |
+
|
| 54 |
[[package]]
|
| 55 |
name = "async-timeout"
|
| 56 |
version = "4.0.2"
|
|
|
|
| 95 |
jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
|
| 96 |
uvloop = ["uvloop (>=0.15.2)"]
|
| 97 |
|
| 98 |
+
[[package]]
|
| 99 |
+
name = "cachetools"
|
| 100 |
+
version = "5.0.0"
|
| 101 |
+
description = "Extensible memoizing collections and decorators"
|
| 102 |
+
category = "main"
|
| 103 |
+
optional = false
|
| 104 |
+
python-versions = "~=3.7"
|
| 105 |
+
|
| 106 |
[[package]]
|
| 107 |
name = "certifi"
|
| 108 |
version = "2021.10.8"
|
|
|
|
| 145 |
name = "cycler"
|
| 146 |
version = "0.11.0"
|
| 147 |
description = "Composable style cycles"
|
| 148 |
+
category = "main"
|
| 149 |
optional = false
|
| 150 |
python-versions = ">=3.6"
|
| 151 |
|
|
|
|
| 176 |
apache-beam = ["apache-beam (>=2.26.0)"]
|
| 177 |
audio = ["librosa"]
|
| 178 |
benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
|
| 179 |
+
dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "soundfile", "transformers", "bs4", "conllu", "h5py", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"]
|
| 180 |
docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"]
|
| 181 |
quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
|
| 182 |
s3 = ["fsspec", "boto3", "botocore", "s3fs"]
|
| 183 |
tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
|
| 184 |
tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
|
| 185 |
+
tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "soundfile", "transformers", "bs4", "conllu", "h5py", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"]
|
| 186 |
torch = ["torch"]
|
| 187 |
vision = ["Pillow (>=6.2.1)"]
|
| 188 |
|
| 189 |
+
[[package]]
|
| 190 |
+
name = "debugpy"
|
| 191 |
+
version = "1.5.1"
|
| 192 |
+
description = "An implementation of the Debug Adapter Protocol for Python"
|
| 193 |
+
category = "dev"
|
| 194 |
+
optional = false
|
| 195 |
+
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
|
| 196 |
+
|
| 197 |
[[package]]
|
| 198 |
name = "dill"
|
| 199 |
version = "0.3.4"
|
|
|
|
| 217 |
docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
|
| 218 |
testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
|
| 219 |
|
| 220 |
+
[[package]]
|
| 221 |
+
name = "flatbuffers"
|
| 222 |
+
version = "2.0"
|
| 223 |
+
description = "The FlatBuffers serialization format for Python"
|
| 224 |
+
category = "main"
|
| 225 |
+
optional = false
|
| 226 |
+
python-versions = "*"
|
| 227 |
+
|
| 228 |
[[package]]
|
| 229 |
name = "fonttools"
|
| 230 |
version = "4.30.0"
|
| 231 |
description = "Tools to manipulate font files"
|
| 232 |
+
category = "main"
|
| 233 |
optional = false
|
| 234 |
python-versions = ">=3.7"
|
| 235 |
|
|
|
|
| 288 |
smb = ["smbprotocol"]
|
| 289 |
ssh = ["paramiko"]
|
| 290 |
|
| 291 |
+
[[package]]
|
| 292 |
+
name = "gast"
|
| 293 |
+
version = "0.5.3"
|
| 294 |
+
description = "Python AST that abstracts the underlying Python version"
|
| 295 |
+
category = "main"
|
| 296 |
+
optional = false
|
| 297 |
+
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
| 298 |
+
|
| 299 |
+
[[package]]
|
| 300 |
+
name = "google-auth"
|
| 301 |
+
version = "2.6.0"
|
| 302 |
+
description = "Google Authentication Library"
|
| 303 |
+
category = "main"
|
| 304 |
+
optional = false
|
| 305 |
+
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
|
| 306 |
+
|
| 307 |
+
[package.dependencies]
|
| 308 |
+
cachetools = ">=2.0.0,<6.0"
|
| 309 |
+
pyasn1-modules = ">=0.2.1"
|
| 310 |
+
rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
|
| 311 |
+
six = ">=1.9.0"
|
| 312 |
+
|
| 313 |
+
[package.extras]
|
| 314 |
+
aiohttp = ["requests (>=2.20.0,<3.0.0dev)", "aiohttp (>=3.6.2,<4.0.0dev)"]
|
| 315 |
+
pyopenssl = ["pyopenssl (>=20.0.0)"]
|
| 316 |
+
reauth = ["pyu2f (>=0.1.5)"]
|
| 317 |
+
|
| 318 |
+
[[package]]
|
| 319 |
+
name = "google-auth-oauthlib"
|
| 320 |
+
version = "0.4.6"
|
| 321 |
+
description = "Google Authentication Library"
|
| 322 |
+
category = "main"
|
| 323 |
+
optional = false
|
| 324 |
+
python-versions = ">=3.6"
|
| 325 |
+
|
| 326 |
+
[package.dependencies]
|
| 327 |
+
google-auth = ">=1.0.0"
|
| 328 |
+
requests-oauthlib = ">=0.7.0"
|
| 329 |
+
|
| 330 |
+
[package.extras]
|
| 331 |
+
tool = ["click (>=6.0.0)"]
|
| 332 |
+
|
| 333 |
+
[[package]]
|
| 334 |
+
name = "google-pasta"
|
| 335 |
+
version = "0.2.0"
|
| 336 |
+
description = "pasta is an AST-based Python refactoring library"
|
| 337 |
+
category = "main"
|
| 338 |
+
optional = false
|
| 339 |
+
python-versions = "*"
|
| 340 |
+
|
| 341 |
+
[package.dependencies]
|
| 342 |
+
six = "*"
|
| 343 |
+
|
| 344 |
+
[[package]]
|
| 345 |
+
name = "grpcio"
|
| 346 |
+
version = "1.44.0"
|
| 347 |
+
description = "HTTP/2-based RPC framework"
|
| 348 |
+
category = "main"
|
| 349 |
+
optional = false
|
| 350 |
+
python-versions = ">=3.6"
|
| 351 |
+
|
| 352 |
+
[package.dependencies]
|
| 353 |
+
six = ">=1.5.2"
|
| 354 |
+
|
| 355 |
+
[package.extras]
|
| 356 |
+
protobuf = ["grpcio-tools (>=1.44.0)"]
|
| 357 |
+
|
| 358 |
+
[[package]]
|
| 359 |
+
name = "h5py"
|
| 360 |
+
version = "3.6.0"
|
| 361 |
+
description = "Read and write HDF5 files from Python"
|
| 362 |
+
category = "main"
|
| 363 |
+
optional = false
|
| 364 |
+
python-versions = ">=3.7"
|
| 365 |
+
|
| 366 |
+
[package.dependencies]
|
| 367 |
+
numpy = ">=1.14.5"
|
| 368 |
+
|
| 369 |
[[package]]
|
| 370 |
name = "huggingface-hub"
|
| 371 |
version = "0.4.0"
|
|
|
|
| 398 |
optional = false
|
| 399 |
python-versions = ">=3.5"
|
| 400 |
|
| 401 |
+
[[package]]
|
| 402 |
+
name = "importlib-metadata"
|
| 403 |
+
version = "4.11.3"
|
| 404 |
+
description = "Read metadata from Python packages"
|
| 405 |
+
category = "main"
|
| 406 |
+
optional = false
|
| 407 |
+
python-versions = ">=3.7"
|
| 408 |
+
|
| 409 |
+
[package.dependencies]
|
| 410 |
+
zipp = ">=0.5"
|
| 411 |
+
|
| 412 |
+
[package.extras]
|
| 413 |
+
docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"]
|
| 414 |
+
perf = ["ipython"]
|
| 415 |
+
testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
|
| 416 |
+
|
| 417 |
+
[[package]]
|
| 418 |
+
name = "keras"
|
| 419 |
+
version = "2.8.0"
|
| 420 |
+
description = "Deep learning for humans."
|
| 421 |
+
category = "main"
|
| 422 |
+
optional = false
|
| 423 |
+
python-versions = "*"
|
| 424 |
+
|
| 425 |
+
[[package]]
|
| 426 |
+
name = "keras-preprocessing"
|
| 427 |
+
version = "1.1.2"
|
| 428 |
+
description = "Easy data preprocessing and data augmentation for deep learning models"
|
| 429 |
+
category = "main"
|
| 430 |
+
optional = false
|
| 431 |
+
python-versions = "*"
|
| 432 |
+
|
| 433 |
+
[package.dependencies]
|
| 434 |
+
numpy = ">=1.9.1"
|
| 435 |
+
six = ">=1.9.0"
|
| 436 |
+
|
| 437 |
+
[package.extras]
|
| 438 |
+
image = ["scipy (>=0.14)", "Pillow (>=5.2.0)"]
|
| 439 |
+
pep8 = ["flake8"]
|
| 440 |
+
tests = ["pandas", "pillow", "tensorflow", "keras", "pytest", "pytest-xdist", "pytest-cov"]
|
| 441 |
+
|
| 442 |
[[package]]
|
| 443 |
name = "kiwisolver"
|
| 444 |
version = "1.4.0"
|
| 445 |
description = "A fast implementation of the Cassowary constraint solver"
|
| 446 |
+
category = "main"
|
| 447 |
optional = false
|
| 448 |
python-versions = ">=3.7"
|
| 449 |
|
| 450 |
+
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| 451 |
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name = "libclang"
|
| 452 |
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version = "13.0.0"
|
| 453 |
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description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
|
| 454 |
+
category = "main"
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| 455 |
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optional = false
|
| 456 |
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python-versions = "*"
|
| 457 |
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|
| 458 |
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[[package]]
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| 459 |
+
name = "markdown"
|
| 460 |
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version = "3.3.6"
|
| 461 |
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description = "Python implementation of Markdown."
|
| 462 |
+
category = "main"
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| 463 |
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optional = false
|
| 464 |
+
python-versions = ">=3.6"
|
| 465 |
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| 466 |
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[package.dependencies]
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| 467 |
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importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
|
| 468 |
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| 469 |
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[package.extras]
|
| 470 |
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testing = ["coverage", "pyyaml"]
|
| 471 |
+
|
| 472 |
[[package]]
|
| 473 |
name = "matplotlib"
|
| 474 |
version = "3.5.1"
|
| 475 |
description = "Python plotting package"
|
| 476 |
+
category = "main"
|
| 477 |
optional = false
|
| 478 |
python-versions = ">=3.7"
|
| 479 |
|
|
|
|
| 523 |
optional = false
|
| 524 |
python-versions = ">=3.8"
|
| 525 |
|
| 526 |
+
[[package]]
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| 527 |
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name = "oauthlib"
|
| 528 |
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version = "3.2.0"
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| 529 |
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description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
|
| 530 |
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category = "main"
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| 531 |
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optional = false
|
| 532 |
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python-versions = ">=3.6"
|
| 533 |
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| 534 |
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[package.extras]
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| 535 |
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rsa = ["cryptography (>=3.0.0)"]
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| 536 |
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signals = ["blinker (>=1.4.0)"]
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| 537 |
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signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
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| 538 |
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|
| 539 |
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[[package]]
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| 540 |
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name = "opt-einsum"
|
| 541 |
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version = "3.3.0"
|
| 542 |
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description = "Optimizing numpys einsum function"
|
| 543 |
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category = "main"
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| 544 |
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optional = false
|
| 545 |
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python-versions = ">=3.5"
|
| 546 |
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| 547 |
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[package.dependencies]
|
| 548 |
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numpy = ">=1.7"
|
| 549 |
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|
| 550 |
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[package.extras]
|
| 551 |
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docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
|
| 552 |
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tests = ["pytest", "pytest-cov", "pytest-pep8"]
|
| 553 |
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|
| 554 |
[[package]]
|
| 555 |
name = "packaging"
|
| 556 |
version = "21.3"
|
|
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|
| 611 |
docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
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| 612 |
test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
|
| 613 |
|
| 614 |
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[[package]]
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| 615 |
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name = "protobuf"
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| 616 |
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version = "3.19.4"
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| 617 |
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description = "Protocol Buffers"
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| 618 |
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category = "main"
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| 619 |
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optional = false
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| 620 |
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python-versions = ">=3.5"
|
| 621 |
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| 622 |
[[package]]
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| 623 |
name = "pyarrow"
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| 624 |
version = "7.0.0"
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|
| 630 |
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|
| 631 |
numpy = ">=1.16.6"
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| 632 |
|
| 633 |
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[[package]]
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| 634 |
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name = "pyasn1"
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| 635 |
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version = "0.4.8"
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| 636 |
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description = "ASN.1 types and codecs"
|
| 637 |
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category = "main"
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| 638 |
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optional = false
|
| 639 |
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python-versions = "*"
|
| 640 |
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| 641 |
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[[package]]
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| 642 |
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name = "pyasn1-modules"
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| 643 |
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version = "0.2.8"
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| 644 |
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description = "A collection of ASN.1-based protocols modules."
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| 645 |
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category = "main"
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| 646 |
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optional = false
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| 647 |
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python-versions = "*"
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| 648 |
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| 649 |
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[package.dependencies]
|
| 650 |
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pyasn1 = ">=0.4.6,<0.5.0"
|
| 651 |
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|
| 652 |
[[package]]
|
| 653 |
name = "pyparsing"
|
| 654 |
version = "3.0.7"
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|
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|
| 705 |
socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
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| 706 |
use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
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| 707 |
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| 708 |
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[[package]]
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| 709 |
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name = "requests-oauthlib"
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| 710 |
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version = "1.3.1"
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| 711 |
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description = "OAuthlib authentication support for Requests."
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| 712 |
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category = "main"
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| 713 |
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optional = false
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| 714 |
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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| 715 |
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| 716 |
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[package.dependencies]
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| 717 |
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oauthlib = ">=3.0.0"
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| 718 |
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requests = ">=2.0.0"
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| 719 |
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| 720 |
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| 721 |
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rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
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| 722 |
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| 723 |
[[package]]
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| 724 |
name = "responses"
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| 725 |
version = "0.18.0"
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| 735 |
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| 736 |
tests = ["pytest (>=4.6)", "coverage (>=6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"]
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| 737 |
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| 738 |
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[[package]]
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| 739 |
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name = "rsa"
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| 740 |
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version = "4.8"
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| 741 |
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description = "Pure-Python RSA implementation"
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| 742 |
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category = "main"
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| 743 |
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optional = false
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| 744 |
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python-versions = ">=3.6,<4"
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| 745 |
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| 746 |
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pyasn1 = ">=0.1.3"
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| 749 |
[[package]]
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| 750 |
name = "setuptools-scm"
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| 751 |
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| 752 |
description = "the blessed package to manage your versions by scm tags"
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| 753 |
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category = "main"
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| 754 |
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| 755 |
python-versions = ">=3.6"
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| 756 |
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|
| 770 |
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| 771 |
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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| 772 |
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[[package]]
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| 774 |
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name = "tensorboard"
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| 775 |
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version = "2.8.0"
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| 776 |
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description = "TensorBoard lets you watch Tensors Flow"
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| 777 |
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| 778 |
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| 779 |
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| 780 |
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[package.dependencies]
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| 797 |
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| 800 |
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[[package]]
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| 816 |
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protobuf = ">=3.9.2"
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six = ">=1.12.0"
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tensorboard = ">=2.8,<2.9"
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tensorflow-rocm = ["tensorflow-rocm (>=2.8.0,<2.9.0)"]
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[[package]]
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description = "TensorFlow Estimator."
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[[package]]
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| 875 |
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| 877 |
python-versions = ">=3.7"
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| 878 |
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secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
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| 914 |
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
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name = "werkzeug"
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[[package]]
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docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
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testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy"]
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+
{file = "wrapt-1.14.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:763a73ab377390e2af26042f685a26787c402390f682443727b847e9496e4a2a"},
|
| 1844 |
+
{file = "wrapt-1.14.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:8529b07b49b2d89d6917cfa157d3ea1dfb4d319d51e23030664a827fe5fd2131"},
|
| 1845 |
+
{file = "wrapt-1.14.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:68aeefac31c1f73949662ba8affaf9950b9938b712fb9d428fa2a07e40ee57f8"},
|
| 1846 |
+
{file = "wrapt-1.14.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:59d7d92cee84a547d91267f0fea381c363121d70fe90b12cd88241bd9b0e1763"},
|
| 1847 |
+
{file = "wrapt-1.14.0-cp310-cp310-win32.whl", hash = "sha256:3a88254881e8a8c4784ecc9cb2249ff757fd94b911d5df9a5984961b96113fff"},
|
| 1848 |
+
{file = "wrapt-1.14.0-cp310-cp310-win_amd64.whl", hash = "sha256:9a242871b3d8eecc56d350e5e03ea1854de47b17f040446da0e47dc3e0b9ad4d"},
|
| 1849 |
+
{file = "wrapt-1.14.0-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:a65bffd24409454b889af33b6c49d0d9bcd1a219b972fba975ac935f17bdf627"},
|
| 1850 |
+
{file = "wrapt-1.14.0-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:9d9fcd06c952efa4b6b95f3d788a819b7f33d11bea377be6b8980c95e7d10775"},
|
| 1851 |
+
{file = "wrapt-1.14.0-cp35-cp35m-manylinux2010_i686.whl", hash = "sha256:db6a0ddc1282ceb9032e41853e659c9b638789be38e5b8ad7498caac00231c23"},
|
| 1852 |
+
{file = "wrapt-1.14.0-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:14e7e2c5f5fca67e9a6d5f753d21f138398cad2b1159913ec9e9a67745f09ba3"},
|
| 1853 |
+
{file = "wrapt-1.14.0-cp35-cp35m-win32.whl", hash = "sha256:6d9810d4f697d58fd66039ab959e6d37e63ab377008ef1d63904df25956c7db0"},
|
| 1854 |
+
{file = "wrapt-1.14.0-cp35-cp35m-win_amd64.whl", hash = "sha256:d808a5a5411982a09fef6b49aac62986274ab050e9d3e9817ad65b2791ed1425"},
|
| 1855 |
+
{file = "wrapt-1.14.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:b77159d9862374da213f741af0c361720200ab7ad21b9f12556e0eb95912cd48"},
|
| 1856 |
+
{file = "wrapt-1.14.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36a76a7527df8583112b24adc01748cd51a2d14e905b337a6fefa8b96fc708fb"},
|
| 1857 |
+
{file = "wrapt-1.14.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a0057b5435a65b933cbf5d859cd4956624df37b8bf0917c71756e4b3d9958b9e"},
|
| 1858 |
+
{file = "wrapt-1.14.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a0a4ca02752ced5f37498827e49c414d694ad7cf451ee850e3ff160f2bee9d3"},
|
| 1859 |
+
{file = "wrapt-1.14.0-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:8c6be72eac3c14baa473620e04f74186c5d8f45d80f8f2b4eda6e1d18af808e8"},
|
| 1860 |
+
{file = "wrapt-1.14.0-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:21b1106bff6ece8cb203ef45b4f5778d7226c941c83aaaa1e1f0f4f32cc148cd"},
|
| 1861 |
+
{file = "wrapt-1.14.0-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:493da1f8b1bb8a623c16552fb4a1e164c0200447eb83d3f68b44315ead3f9036"},
|
| 1862 |
+
{file = "wrapt-1.14.0-cp36-cp36m-win32.whl", hash = "sha256:89ba3d548ee1e6291a20f3c7380c92f71e358ce8b9e48161401e087e0bc740f8"},
|
| 1863 |
+
{file = "wrapt-1.14.0-cp36-cp36m-win_amd64.whl", hash = "sha256:729d5e96566f44fccac6c4447ec2332636b4fe273f03da128fff8d5559782b06"},
|
| 1864 |
+
{file = "wrapt-1.14.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:891c353e95bb11abb548ca95c8b98050f3620a7378332eb90d6acdef35b401d4"},
|
| 1865 |
+
{file = "wrapt-1.14.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23f96134a3aa24cc50614920cc087e22f87439053d886e474638c68c8d15dc80"},
|
| 1866 |
+
{file = "wrapt-1.14.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6807bcee549a8cb2f38f73f469703a1d8d5d990815c3004f21ddb68a567385ce"},
|
| 1867 |
+
{file = "wrapt-1.14.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6915682f9a9bc4cf2908e83caf5895a685da1fbd20b6d485dafb8e218a338279"},
|
| 1868 |
+
{file = "wrapt-1.14.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:f2f3bc7cd9c9fcd39143f11342eb5963317bd54ecc98e3650ca22704b69d9653"},
|
| 1869 |
+
{file = "wrapt-1.14.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:3a71dbd792cc7a3d772ef8cd08d3048593f13d6f40a11f3427c000cf0a5b36a0"},
|
| 1870 |
+
{file = "wrapt-1.14.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:5a0898a640559dec00f3614ffb11d97a2666ee9a2a6bad1259c9facd01a1d4d9"},
|
| 1871 |
+
{file = "wrapt-1.14.0-cp37-cp37m-win32.whl", hash = "sha256:167e4793dc987f77fd476862d32fa404d42b71f6a85d3b38cbce711dba5e6b68"},
|
| 1872 |
+
{file = "wrapt-1.14.0-cp37-cp37m-win_amd64.whl", hash = "sha256:d066ffc5ed0be00cd0352c95800a519cf9e4b5dd34a028d301bdc7177c72daf3"},
|
| 1873 |
+
{file = "wrapt-1.14.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:d9bdfa74d369256e4218000a629978590fd7cb6cf6893251dad13d051090436d"},
|
| 1874 |
+
{file = "wrapt-1.14.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:2498762814dd7dd2a1d0248eda2afbc3dd9c11537bc8200a4b21789b6df6cd38"},
|
| 1875 |
+
{file = "wrapt-1.14.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f24ca7953f2643d59a9c87d6e272d8adddd4a53bb62b9208f36db408d7aafc7"},
|
| 1876 |
+
{file = "wrapt-1.14.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b835b86bd5a1bdbe257d610eecab07bf685b1af2a7563093e0e69180c1d4af1"},
|
| 1877 |
+
{file = "wrapt-1.14.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b21650fa6907e523869e0396c5bd591cc326e5c1dd594dcdccac089561cacfb8"},
|
| 1878 |
+
{file = "wrapt-1.14.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:354d9fc6b1e44750e2a67b4b108841f5f5ea08853453ecbf44c81fdc2e0d50bd"},
|
| 1879 |
+
{file = "wrapt-1.14.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1f83e9c21cd5275991076b2ba1cd35418af3504667affb4745b48937e214bafe"},
|
| 1880 |
+
{file = "wrapt-1.14.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:61e1a064906ccba038aa3c4a5a82f6199749efbbb3cef0804ae5c37f550eded0"},
|
| 1881 |
+
{file = "wrapt-1.14.0-cp38-cp38-win32.whl", hash = "sha256:28c659878f684365d53cf59dc9a1929ea2eecd7ac65da762be8b1ba193f7e84f"},
|
| 1882 |
+
{file = "wrapt-1.14.0-cp38-cp38-win_amd64.whl", hash = "sha256:b0ed6ad6c9640671689c2dbe6244680fe8b897c08fd1fab2228429b66c518e5e"},
|
| 1883 |
+
{file = "wrapt-1.14.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b3f7e671fb19734c872566e57ce7fc235fa953d7c181bb4ef138e17d607dc8a1"},
|
| 1884 |
+
{file = "wrapt-1.14.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:87fa943e8bbe40c8c1ba4086971a6fefbf75e9991217c55ed1bcb2f1985bd3d4"},
|
| 1885 |
+
{file = "wrapt-1.14.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4775a574e9d84e0212f5b18886cace049a42e13e12009bb0491562a48bb2b758"},
|
| 1886 |
+
{file = "wrapt-1.14.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9d57677238a0c5411c76097b8b93bdebb02eb845814c90f0b01727527a179e4d"},
|
| 1887 |
+
{file = "wrapt-1.14.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00108411e0f34c52ce16f81f1d308a571df7784932cc7491d1e94be2ee93374b"},
|
| 1888 |
+
{file = "wrapt-1.14.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d332eecf307fca852d02b63f35a7872de32d5ba8b4ec32da82f45df986b39ff6"},
|
| 1889 |
+
{file = "wrapt-1.14.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:01f799def9b96a8ec1ef6b9c1bbaf2bbc859b87545efbecc4a78faea13d0e3a0"},
|
| 1890 |
+
{file = "wrapt-1.14.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47045ed35481e857918ae78b54891fac0c1d197f22c95778e66302668309336c"},
|
| 1891 |
+
{file = "wrapt-1.14.0-cp39-cp39-win32.whl", hash = "sha256:2eca15d6b947cfff51ed76b2d60fd172c6ecd418ddab1c5126032d27f74bc350"},
|
| 1892 |
+
{file = "wrapt-1.14.0-cp39-cp39-win_amd64.whl", hash = "sha256:bb36fbb48b22985d13a6b496ea5fb9bb2a076fea943831643836c9f6febbcfdc"},
|
| 1893 |
+
{file = "wrapt-1.14.0.tar.gz", hash = "sha256:8323a43bd9c91f62bb7d4be74cc9ff10090e7ef820e27bfe8815c57e68261311"},
|
| 1894 |
+
]
|
| 1895 |
xxhash = [
|
| 1896 |
{file = "xxhash-3.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:219cba13991fd73cf21a5efdafa5056f0ae0b8f79e5e0112967e3058daf73eea"},
|
| 1897 |
{file = "xxhash-3.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3fcbb846af15eff100c412ae54f4974ff277c92eacd41f1ec7803a64fd07fa0c"},
|
|
|
|
| 2022 |
{file = "yarl-1.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:797c2c412b04403d2da075fb93c123df35239cd7b4cc4e0cd9e5839b73f52c58"},
|
| 2023 |
{file = "yarl-1.7.2.tar.gz", hash = "sha256:45399b46d60c253327a460e99856752009fcee5f5d3c80b2f7c0cae1c38d56dd"},
|
| 2024 |
]
|
| 2025 |
+
zipp = [
|
| 2026 |
+
{file = "zipp-3.7.0-py3-none-any.whl", hash = "sha256:b47250dd24f92b7dd6a0a8fc5244da14608f3ca90a5efcd37a3b1642fac9a375"},
|
| 2027 |
+
{file = "zipp-3.7.0.tar.gz", hash = "sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d"},
|
| 2028 |
+
]
|
pyproject.toml
CHANGED
|
@@ -5,14 +5,18 @@ description = ""
|
|
| 5 |
authors = ["Cristian Garcia <cgarcia.e88@gmail.com>"]
|
| 6 |
|
| 7 |
[tool.poetry.dependencies]
|
| 8 |
-
python = "
|
| 9 |
datasets = "^1.18.4"
|
| 10 |
numpy = "^1.22.3"
|
| 11 |
Pillow = "^9.0.1"
|
|
|
|
|
|
|
|
|
|
| 12 |
|
| 13 |
[tool.poetry.dev-dependencies]
|
| 14 |
black = {version = "^22.1.0", allow-prereleases = true}
|
| 15 |
-
|
|
|
|
| 16 |
|
| 17 |
[build-system]
|
| 18 |
requires = ["poetry-core>=1.0.0"]
|
|
|
|
| 5 |
authors = ["Cristian Garcia <cgarcia.e88@gmail.com>"]
|
| 6 |
|
| 7 |
[tool.poetry.dependencies]
|
| 8 |
+
python = ">=3.8,<3.11"
|
| 9 |
datasets = "^1.18.4"
|
| 10 |
numpy = "^1.22.3"
|
| 11 |
Pillow = "^9.0.1"
|
| 12 |
+
matplotlib = "^3.5.1"
|
| 13 |
+
tensorflow-cpu = "^2.8.0"
|
| 14 |
+
certifi = "^2021.10.8"
|
| 15 |
|
| 16 |
[tool.poetry.dev-dependencies]
|
| 17 |
black = {version = "^22.1.0", allow-prereleases = true}
|
| 18 |
+
debugpy = "^1.5.1"
|
| 19 |
+
|
| 20 |
|
| 21 |
[build-system]
|
| 22 |
requires = ["poetry-core>=1.0.0"]
|