Datasets:

Size Categories:
10K<n<100K
ArXiv:
Tags:
License:
cgarciae commited on
Commit
30797c9
1 Parent(s): 69ec5b3

use binary

Browse files
Files changed (4) hide show
  1. cartoonset.py +7 -3
  2. dataset_infos.json +12 -12
  3. poetry.lock +746 -10
  4. pyproject.toml +6 -2
cartoonset.py CHANGED
@@ -5,6 +5,7 @@ import pickle
5
 
6
  import numpy as np
7
  import PIL.Image
 
8
 
9
 
10
  import datasets
@@ -68,7 +69,8 @@ class Cartoonset(datasets.GeneratorBasedBuilder):
68
  description=_DESCRIPTION,
69
  features=datasets.Features(
70
  {
71
- "img": datasets.Image(),
 
72
  }
73
  ),
74
  supervised_keys=("img",),
@@ -77,6 +79,7 @@ class Cartoonset(datasets.GeneratorBasedBuilder):
77
  )
78
 
79
  def _split_generators(self, dl_manager: datasets.DownloadManager):
 
80
  url = _DATA_URLS[self.config.name]
81
  archive = dl_manager.download(url)
82
 
@@ -94,11 +97,12 @@ class Cartoonset(datasets.GeneratorBasedBuilder):
94
  """This function returns the examples in the raw (text) form."""
95
 
96
  path: str
 
97
  for path, file_obj in files:
98
 
99
  if path.endswith(".png"):
100
- image = PIL.Image.open(file_obj)
101
 
102
  yield path, {
103
- "img": image,
104
  }
 
5
 
6
  import numpy as np
7
  import PIL.Image
8
+ import tarfile
9
 
10
 
11
  import datasets
 
69
  description=_DESCRIPTION,
70
  features=datasets.Features(
71
  {
72
+ # "img": datasets.Image(),
73
+ "img_bytes": datasets.Value("binary"),
74
  }
75
  ),
76
  supervised_keys=("img",),
 
79
  )
80
 
81
  def _split_generators(self, dl_manager: datasets.DownloadManager):
82
+
83
  url = _DATA_URLS[self.config.name]
84
  archive = dl_manager.download(url)
85
 
 
97
  """This function returns the examples in the raw (text) form."""
98
 
99
  path: str
100
+ file_obj: tarfile.ExFileObject
101
  for path, file_obj in files:
102
 
103
  if path.endswith(".png"):
104
+ image = file_obj.read()
105
 
106
  yield path, {
107
+ "img_bytes": image,
108
  }
dataset_infos.json CHANGED
@@ -5,10 +5,10 @@
5
  "homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
6
  "license": "",
7
  "features": {
8
- "img": {
9
- "decode": true,
10
  "id": null,
11
- "_type": "Image"
12
  }
13
  },
14
  "post_processed": null,
@@ -29,7 +29,7 @@
29
  "splits": {
30
  "train": {
31
  "name": "train",
32
- "num_bytes": 485462908,
33
  "num_examples": 10000,
34
  "dataset_name": "cartoonset"
35
  }
@@ -42,8 +42,8 @@
42
  },
43
  "download_size": 476635078,
44
  "post_processing_size": null,
45
- "dataset_size": 485462908,
46
- "size_in_bytes": 962097986
47
  },
48
  "100k": {
49
  "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",
@@ -51,10 +51,10 @@
51
  "homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
52
  "license": "",
53
  "features": {
54
- "img": {
55
- "decode": true,
56
  "id": null,
57
- "_type": "Image"
58
  }
59
  },
60
  "post_processed": null,
@@ -75,7 +75,7 @@
75
  "splits": {
76
  "train": {
77
  "name": "train",
78
- "num_bytes": 4860536607,
79
  "num_examples": 100000,
80
  "dataset_name": "cartoonset"
81
  }
@@ -88,7 +88,7 @@
88
  },
89
  "download_size": 4766442036,
90
  "post_processing_size": null,
91
- "dataset_size": 4860536607,
92
- "size_in_bytes": 9626978643
93
  }
94
  }
 
5
  "homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
6
  "license": "",
7
  "features": {
8
+ "img_bytes": {
9
+ "dtype": "binary",
10
  "id": null,
11
+ "_type": "Value"
12
  }
13
  },
14
  "post_processed": null,
 
29
  "splits": {
30
  "train": {
31
  "name": "train",
32
+ "num_bytes": 488291874,
33
  "num_examples": 10000,
34
  "dataset_name": "cartoonset"
35
  }
 
42
  },
43
  "download_size": 476635078,
44
  "post_processing_size": null,
45
+ "dataset_size": 488291874,
46
+ "size_in_bytes": 964926952
47
  },
48
  "100k": {
49
  "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",
 
51
  "homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
52
  "license": "",
53
  "features": {
54
+ "img_bytes": {
55
+ "dtype": "binary",
56
  "id": null,
57
+ "_type": "Value"
58
  }
59
  },
60
  "post_processed": null,
 
75
  "splits": {
76
  "train": {
77
  "name": "train",
78
+ "num_bytes": 4889166989,
79
  "num_examples": 100000,
80
  "dataset_name": "cartoonset"
81
  }
 
88
  },
89
  "download_size": 4766442036,
90
  "post_processing_size": null,
91
+ "dataset_size": 4889166989,
92
+ "size_in_bytes": 9655609025
93
  }
94
  }
poetry.lock CHANGED
@@ -1,3 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
1
  [[package]]
2
  name = "aiohttp"
3
  version = "3.8.1"
@@ -29,6 +40,17 @@ python-versions = ">=3.6"
29
  [package.dependencies]
30
  frozenlist = ">=1.1.0"
31
 
 
 
 
 
 
 
 
 
 
 
 
32
  [[package]]
33
  name = "async-timeout"
34
  version = "4.0.2"
@@ -73,6 +95,14 @@ d = ["aiohttp (>=3.7.4)"]
73
  jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
74
  uvloop = ["uvloop (>=0.15.2)"]
75
 
 
 
 
 
 
 
 
 
76
  [[package]]
77
  name = "certifi"
78
  version = "2021.10.8"
@@ -115,7 +145,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
115
  name = "cycler"
116
  version = "0.11.0"
117
  description = "Composable style cycles"
118
- category = "dev"
119
  optional = false
120
  python-versions = ">=3.6"
121
 
@@ -146,16 +176,24 @@ xxhash = "*"
146
  apache-beam = ["apache-beam (>=2.26.0)"]
147
  audio = ["librosa"]
148
  benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
149
- 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,s3] (==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"]
150
  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)"]
151
  quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
152
  s3 = ["fsspec", "boto3", "botocore", "s3fs"]
153
  tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
154
  tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
155
- 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,s3] (==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"]
156
  torch = ["torch"]
157
  vision = ["Pillow (>=6.2.1)"]
158
 
 
 
 
 
 
 
 
 
159
  [[package]]
160
  name = "dill"
161
  version = "0.3.4"
@@ -179,11 +217,19 @@ python-versions = ">=3.7"
179
  docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
180
  testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
181
 
 
 
 
 
 
 
 
 
182
  [[package]]
183
  name = "fonttools"
184
  version = "4.30.0"
185
  description = "Tools to manipulate font files"
186
- category = "dev"
187
  optional = false
188
  python-versions = ">=3.7"
189
 
@@ -242,6 +288,84 @@ sftp = ["paramiko"]
242
  smb = ["smbprotocol"]
243
  ssh = ["paramiko"]
244
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
245
  [[package]]
246
  name = "huggingface-hub"
247
  version = "0.4.0"
@@ -274,19 +398,82 @@ category = "main"
274
  optional = false
275
  python-versions = ">=3.5"
276
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
277
  [[package]]
278
  name = "kiwisolver"
279
  version = "1.4.0"
280
  description = "A fast implementation of the Cassowary constraint solver"
281
- category = "dev"
282
  optional = false
283
  python-versions = ">=3.7"
284
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
285
  [[package]]
286
  name = "matplotlib"
287
  version = "3.5.1"
288
  description = "Python plotting package"
289
- category = "dev"
290
  optional = false
291
  python-versions = ">=3.7"
292
 
@@ -336,6 +523,34 @@ category = "main"
336
  optional = false
337
  python-versions = ">=3.8"
338
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
339
  [[package]]
340
  name = "packaging"
341
  version = "21.3"
@@ -396,6 +611,14 @@ python-versions = ">=3.7"
396
  docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
397
  test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
398
 
 
 
 
 
 
 
 
 
399
  [[package]]
400
  name = "pyarrow"
401
  version = "7.0.0"
@@ -407,6 +630,25 @@ python-versions = ">=3.7"
407
  [package.dependencies]
408
  numpy = ">=1.16.6"
409
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
410
  [[package]]
411
  name = "pyparsing"
412
  version = "3.0.7"
@@ -463,6 +705,21 @@ urllib3 = ">=1.21.1,<1.27"
463
  socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
464
  use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
465
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
466
  [[package]]
467
  name = "responses"
468
  version = "0.18.0"
@@ -478,11 +735,22 @@ urllib3 = ">=1.25.10"
478
  [package.extras]
479
  tests = ["pytest (>=4.6)", "coverage (>=6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"]
480
 
 
 
 
 
 
 
 
 
 
 
 
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 = "dev"
486
  optional = false
487
  python-versions = ">=3.6"
488
 
@@ -502,11 +770,109 @@ category = "main"
502
  optional = false
503
  python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
504
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
505
  [[package]]
506
  name = "tomli"
507
  version = "2.0.1"
508
  description = "A lil' TOML parser"
509
- category = "dev"
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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
 
 
 
 
 
 
 
 
 
 
 
 
570
  [metadata]
571
  lock-version = "1.1"
572
- python-versions = "^3.8"
573
- content-hash = "c049562e23ad83658e94eb08b5c1fb20380da5edfee77a2b69c2212595511ec3"
574
 
575
  [metadata.files]
 
 
 
 
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
  ]
 
 
 
 
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
  ]
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
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
  ]
 
 
 
 
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
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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"},
@@ -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
  ]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
  ]
 
 
 
 
 
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
+ [[package]]
451
+ name = "libclang"
452
+ version = "13.0.0"
453
+ 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"
455
+ optional = false
456
+ python-versions = "*"
457
+
458
+ [[package]]
459
+ name = "markdown"
460
+ version = "3.3.6"
461
+ description = "Python implementation of Markdown."
462
+ category = "main"
463
+ optional = false
464
+ python-versions = ">=3.6"
465
+
466
+ [package.dependencies]
467
+ importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
468
+
469
+ [package.extras]
470
+ 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]]
527
+ name = "oauthlib"
528
+ version = "3.2.0"
529
+ description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
530
+ category = "main"
531
+ optional = false
532
+ python-versions = ">=3.6"
533
+
534
+ [package.extras]
535
+ rsa = ["cryptography (>=3.0.0)"]
536
+ signals = ["blinker (>=1.4.0)"]
537
+ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
538
+
539
+ [[package]]
540
+ name = "opt-einsum"
541
+ version = "3.3.0"
542
+ description = "Optimizing numpys einsum function"
543
+ category = "main"
544
+ optional = false
545
+ python-versions = ">=3.5"
546
+
547
+ [package.dependencies]
548
+ numpy = ">=1.7"
549
+
550
+ [package.extras]
551
+ docs = ["sphinx (==1.2.3)", "sphinxcontrib-napoleon", "sphinx-rtd-theme", "numpydoc"]
552
+ tests = ["pytest", "pytest-cov", "pytest-pep8"]
553
+
554
  [[package]]
555
  name = "packaging"
556
  version = "21.3"
 
611
  docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
612
  test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
613
 
614
+ [[package]]
615
+ name = "protobuf"
616
+ version = "3.19.4"
617
+ description = "Protocol Buffers"
618
+ category = "main"
619
+ optional = false
620
+ python-versions = ">=3.5"
621
+
622
  [[package]]
623
  name = "pyarrow"
624
  version = "7.0.0"
 
630
  [package.dependencies]
631
  numpy = ">=1.16.6"
632
 
633
+ [[package]]
634
+ name = "pyasn1"
635
+ version = "0.4.8"
636
+ description = "ASN.1 types and codecs"
637
+ category = "main"
638
+ optional = false
639
+ python-versions = "*"
640
+
641
+ [[package]]
642
+ name = "pyasn1-modules"
643
+ version = "0.2.8"
644
+ description = "A collection of ASN.1-based protocols modules."
645
+ category = "main"
646
+ optional = false
647
+ python-versions = "*"
648
+
649
+ [package.dependencies]
650
+ pyasn1 = ">=0.4.6,<0.5.0"
651
+
652
  [[package]]
653
  name = "pyparsing"
654
  version = "3.0.7"
 
705
  socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
706
  use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
707
 
708
+ [[package]]
709
+ name = "requests-oauthlib"
710
+ version = "1.3.1"
711
+ description = "OAuthlib authentication support for Requests."
712
+ category = "main"
713
+ optional = false
714
+ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
715
+
716
+ [package.dependencies]
717
+ oauthlib = ">=3.0.0"
718
+ requests = ">=2.0.0"
719
+
720
+ [package.extras]
721
+ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
722
+
723
  [[package]]
724
  name = "responses"
725
  version = "0.18.0"
 
735
  [package.extras]
736
  tests = ["pytest (>=4.6)", "coverage (>=6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"]
737
 
738
+ [[package]]
739
+ name = "rsa"
740
+ version = "4.8"
741
+ description = "Pure-Python RSA implementation"
742
+ category = "main"
743
+ optional = false
744
+ python-versions = ">=3.6,<4"
745
+
746
+ [package.dependencies]
747
+ pyasn1 = ">=0.1.3"
748
+
749
  [[package]]
750
  name = "setuptools-scm"
751
  version = "6.4.2"
752
  description = "the blessed package to manage your versions by scm tags"
753
+ category = "main"
754
  optional = false
755
  python-versions = ">=3.6"
756
 
 
770
  optional = false
771
  python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
772
 
773
+ [[package]]
774
+ name = "tensorboard"
775
+ version = "2.8.0"
776
+ description = "TensorBoard lets you watch Tensors Flow"
777
+ category = "main"
778
+ optional = false
779
+ python-versions = ">=3.6"
780
+
781
+ [package.dependencies]
782
+ absl-py = ">=0.4"
783
+ google-auth = ">=1.6.3,<3"
784
+ google-auth-oauthlib = ">=0.4.1,<0.5"
785
+ grpcio = ">=1.24.3"
786
+ markdown = ">=2.6.8"
787
+ numpy = ">=1.12.0"
788
+ protobuf = ">=3.6.0"
789
+ requests = ">=2.21.0,<3"
790
+ tensorboard-data-server = ">=0.6.0,<0.7.0"
791
+ tensorboard-plugin-wit = ">=1.6.0"
792
+ werkzeug = ">=0.11.15"
793
+
794
+ [[package]]
795
+ name = "tensorboard-data-server"
796
+ version = "0.6.1"
797
+ description = "Fast data loading for TensorBoard"
798
+ category = "main"
799
+ optional = false
800
+ python-versions = ">=3.6"
801
+
802
+ [[package]]
803
+ name = "tensorboard-plugin-wit"
804
+ version = "1.8.1"
805
+ description = "What-If Tool TensorBoard plugin."
806
+ category = "main"
807
+ optional = false
808
+ python-versions = "*"
809
+
810
+ [[package]]
811
+ name = "tensorflow-cpu"
812
+ version = "2.8.0"
813
+ description = "TensorFlow is an open source machine learning framework for everyone."
814
+ category = "main"
815
+ optional = false
816
+ python-versions = "*"
817
+
818
+ [package.dependencies]
819
+ absl-py = ">=0.4.0"
820
+ astunparse = ">=1.6.0"
821
+ flatbuffers = ">=1.12"
822
+ gast = ">=0.2.1"
823
+ google-pasta = ">=0.1.1"
824
+ grpcio = ">=1.24.3,<2.0"
825
+ h5py = ">=2.9.0"
826
+ keras = ">=2.8.0rc0,<2.9"
827
+ keras-preprocessing = ">=1.1.1"
828
+ libclang = ">=9.0.1"
829
+ numpy = ">=1.20"
830
+ opt-einsum = ">=2.3.2"
831
+ protobuf = ">=3.9.2"
832
+ six = ">=1.12.0"
833
+ tensorboard = ">=2.8,<2.9"
834
+ tensorflow-io-gcs-filesystem = ">=0.23.1"
835
+ termcolor = ">=1.1.0"
836
+ tf-estimator-nightly = "2.8.0.dev2021122109"
837
+ typing-extensions = ">=3.6.6"
838
+ wrapt = ">=1.11.0"
839
+
840
+ [[package]]
841
+ name = "tensorflow-io-gcs-filesystem"
842
+ version = "0.24.0"
843
+ description = "TensorFlow IO"
844
+ category = "main"
845
+ optional = false
846
+ python-versions = ">=3.7, <3.11"
847
+
848
+ [package.extras]
849
+ tensorflow = ["tensorflow (>=2.8.0,<2.9.0)"]
850
+ tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.8.0,<2.9.0)"]
851
+ tensorflow-cpu = ["tensorflow-cpu (>=2.8.0,<2.9.0)"]
852
+ tensorflow-gpu = ["tensorflow-gpu (>=2.8.0,<2.9.0)"]
853
+ tensorflow-rocm = ["tensorflow-rocm (>=2.8.0,<2.9.0)"]
854
+
855
+ [[package]]
856
+ name = "termcolor"
857
+ version = "1.1.0"
858
+ description = "ANSII Color formatting for output in terminal."
859
+ category = "main"
860
+ optional = false
861
+ python-versions = "*"
862
+
863
+ [[package]]
864
+ name = "tf-estimator-nightly"
865
+ version = "2.8.0.dev2021122109"
866
+ description = "TensorFlow Estimator."
867
+ category = "main"
868
+ optional = false
869
+ python-versions = "*"
870
+
871
  [[package]]
872
  name = "tomli"
873
  version = "2.0.1"
874
  description = "A lil' TOML parser"
875
+ category = "main"
876
  optional = false
877
  python-versions = ">=3.7"
878
 
 
913
  secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
914
  socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
915
 
916
+ [[package]]
917
+ name = "werkzeug"
918
+ version = "2.0.3"
919
+ description = "The comprehensive WSGI web application library."
920
+ category = "main"
921
+ optional = false
922
+ python-versions = ">=3.6"
923
+
924
+ [package.extras]
925
+ watchdog = ["watchdog"]
926
+
927
+ [[package]]
928
+ name = "wrapt"
929
+ version = "1.14.0"
930
+ description = "Module for decorators, wrappers and monkey patching."
931
+ category = "main"
932
+ optional = false
933
+ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
934
+
935
  [[package]]
936
  name = "xxhash"
937
  version = "3.0.0"
 
952
  idna = ">=2.0"
953
  multidict = ">=4.0"
954
 
955
+ [[package]]
956
+ name = "zipp"
957
+ version = "3.7.0"
958
+ description = "Backport of pathlib-compatible object wrapper for zip files"
959
+ category = "main"
960
+ optional = false
961
+ python-versions = ">=3.7"
962
+
963
+ [package.extras]
964
+ docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
965
+ 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"]
966
+
967
  [metadata]
968
  lock-version = "1.1"
969
+ python-versions = ">=3.8,<3.11"
970
+ content-hash = "85121338a0b4f822a75531fde1ac6b26d36ecd20f0bb63196bf9555c3a4dbb68"
971
 
972
  [metadata.files]
973
+ absl-py = [
974
+ {file = "absl-py-1.0.0.tar.gz", hash = "sha256:ac511215c01ee9ae47b19716599e8ccfa746f2e18de72bdf641b79b22afa27ea"},
975
+ {file = "absl_py-1.0.0-py3-none-any.whl", hash = "sha256:84e6dcdc69c947d0c13e5457d056bd43cade4c2393dce00d684aedea77ddc2a3"},
976
+ ]
977
  aiohttp = [
978
  {file = "aiohttp-3.8.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1ed0b6477896559f17b9eaeb6d38e07f7f9ffe40b9f0f9627ae8b9926ae260a8"},
979
  {file = "aiohttp-3.8.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7dadf3c307b31e0e61689cbf9e06be7a867c563d5a63ce9dca578f956609abf8"},
 
1052
  {file = "aiosignal-1.2.0-py3-none-any.whl", hash = "sha256:26e62109036cd181df6e6ad646f91f0dcfd05fe16d0cb924138ff2ab75d64e3a"},
1053
  {file = "aiosignal-1.2.0.tar.gz", hash = "sha256:78ed67db6c7b7ced4f98e495e572106d5c432a93e1ddd1bf475e1dc05f5b7df2"},
1054
  ]
1055
+ astunparse = [
1056
+ {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
1057
+ {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"},
1058
+ ]
1059
  async-timeout = [
1060
  {file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"},
1061
  {file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"},
 
1089
  {file = "black-22.1.0-py3-none-any.whl", hash = "sha256:3524739d76b6b3ed1132422bf9d82123cd1705086723bc3e235ca39fd21c667d"},
1090
  {file = "black-22.1.0.tar.gz", hash = "sha256:a7c0192d35635f6fc1174be575cb7915e92e5dd629ee79fdaf0dcfa41a80afb5"},
1091
  ]
1092
+ cachetools = [
1093
+ {file = "cachetools-5.0.0-py3-none-any.whl", hash = "sha256:8fecd4203a38af17928be7b90689d8083603073622229ca7077b72d8e5a976e4"},
1094
+ {file = "cachetools-5.0.0.tar.gz", hash = "sha256:486471dfa8799eb7ec503a8059e263db000cdda20075ce5e48903087f79d5fd6"},
1095
+ ]
1096
  certifi = [
1097
  {file = "certifi-2021.10.8-py2.py3-none-any.whl", hash = "sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"},
1098
  {file = "certifi-2021.10.8.tar.gz", hash = "sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872"},
 
1117
  {file = "datasets-1.18.4-py3-none-any.whl", hash = "sha256:e13695ad7aeda2af4430ac1a0b62def9c4b60bb4cc14dbaa240e6683cac50c49"},
1118
  {file = "datasets-1.18.4.tar.gz", hash = "sha256:8f28a7afc2f894c68cb017335a32812f443fe41bc59c089cbd15d7412d3f7f96"},
1119
  ]
1120
+ debugpy = [
1121
+ {file = "debugpy-1.5.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:70b422c63a833630c33e3f9cdbd9b6971f8c5afd452697e464339a21bbe862ba"},
1122
+ {file = "debugpy-1.5.1-cp310-cp310-win32.whl", hash = "sha256:3a457ad9c0059a21a6c7d563c1f18e924f5cf90278c722bd50ede6f56b77c7fe"},
1123
+ {file = "debugpy-1.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:5d76a4fd028d8009c3faf1185b4b78ceb2273dd2499447664b03939e0368bb90"},
1124
+ {file = "debugpy-1.5.1-cp36-cp36m-macosx_10_15_x86_64.whl", hash = "sha256:16db27b4b91991442f91d73604d32080b30de655aca9ba821b1972ea8171021b"},
1125
+ {file = "debugpy-1.5.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2b073ad5e8d8c488fbb6a116986858bab0c9c4558f28deb8832c7a5a27405bd6"},
1126
+ {file = "debugpy-1.5.1-cp36-cp36m-win32.whl", hash = "sha256:318f81f37341e4e054b4267d39896b73cddb3612ca13b39d7eea45af65165e1d"},
1127
+ {file = "debugpy-1.5.1-cp36-cp36m-win_amd64.whl", hash = "sha256:b5b3157372e0e0a1297a8b6b5280bcf1d35a40f436c7973771c972726d1e32d5"},
1128
+ {file = "debugpy-1.5.1-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:1ec3a086e14bba6c472632025b8fe5bdfbaef2afa1ebd5c6615ce6ed8d89bc67"},
1129
+ {file = "debugpy-1.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:26fbe53cca45a608679094791ce587b6e2798acd1d4777a8b303b07622e85182"},
1130
+ {file = "debugpy-1.5.1-cp37-cp37m-win32.whl", hash = "sha256:d876db8c312eeb02d85611e0f696abe66a2c1515e6405943609e725d5ff36f2a"},
1131
+ {file = "debugpy-1.5.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4404a62fb5332ea5c8c9132290eef50b3a0ba38cecacad5529e969a783bcbdd7"},
1132
+ {file = "debugpy-1.5.1-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:f3a3dca9104aa14fd4210edcce6d9ce2b65bd9618c0b222135a40b9d6e2a9eeb"},
1133
+ {file = "debugpy-1.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b2df2c373e85871086bd55271c929670cd4e1dba63e94a08d442db830646203b"},
1134
+ {file = "debugpy-1.5.1-cp38-cp38-win32.whl", hash = "sha256:82f5f9ce93af6861a0713f804e62ab390bb12a17f113153e47fea8bbb1dfbe36"},
1135
+ {file = "debugpy-1.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:17a25ce9d7714f92fc97ef00cc06269d7c2b163094990ada30156ed31d9a5030"},
1136
+ {file = "debugpy-1.5.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:01e98c594b3e66d529e40edf314f849cd1a21f7a013298df58cd8e263bf8e184"},
1137
+ {file = "debugpy-1.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f73988422b17f071ad3c4383551ace1ba5ed810cbab5f9c362783d22d40a08dc"},
1138
+ {file = "debugpy-1.5.1-cp39-cp39-win32.whl", hash = "sha256:23df67fc56d59e386c342428a7953c2c06cc226d8525b11319153e96afb65b0c"},
1139
+ {file = "debugpy-1.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:a2aa64f6d2ca7ded8a7e8a4e7cae3bc71866b09876b7b05cecad231779cb9156"},
1140
+ {file = "debugpy-1.5.1-py2.py3-none-any.whl", hash = "sha256:194f95dd3e84568b5489aab5689a3a2c044e8fdc06f1890b8b4f70b6b89f2778"},
1141
+ {file = "debugpy-1.5.1.zip", hash = "sha256:d2b09e91fbd1efa4f4fda121d49af89501beda50c18ed7499712c71a4bf3452e"},
1142
+ ]
1143
  dill = [
1144
  {file = "dill-0.3.4-py2.py3-none-any.whl", hash = "sha256:7e40e4a70304fd9ceab3535d36e58791d9c4a776b38ec7f7ec9afc8d3dca4d4f"},
1145
  {file = "dill-0.3.4.zip", hash = "sha256:9f9734205146b2b353ab3fec9af0070237b6ddae78452af83d2fca84d739e675"},
 
1148
  {file = "filelock-3.6.0-py3-none-any.whl", hash = "sha256:f8314284bfffbdcfa0ff3d7992b023d4c628ced6feb957351d4c48d059f56bc0"},
1149
  {file = "filelock-3.6.0.tar.gz", hash = "sha256:9cd540a9352e432c7246a48fe4e8712b10acb1df2ad1f30e8c070b82ae1fed85"},
1150
  ]
1151
+ flatbuffers = [
1152
+ {file = "flatbuffers-2.0-py2.py3-none-any.whl", hash = "sha256:3751954f0604580d3219ae49a85fafec9d85eec599c0b96226e1bc0b48e57474"},
1153
+ {file = "flatbuffers-2.0.tar.gz", hash = "sha256:12158ab0272375eab8db2d663ae97370c33f152b27801fa6024e1d6105fd4dd2"},
1154
+ ]
1155
  fonttools = [
1156
  {file = "fonttools-4.30.0-py3-none-any.whl", hash = "sha256:6985cc5380c06db07fdc73ade15e6adbd4ce6ff850d7561ca00f97090b4b263d"},
1157
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1294
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1298
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1299
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1300
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1301
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1302
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+ ]
1305
  huggingface-hub = [
1306
  {file = "huggingface_hub-0.4.0-py3-none-any.whl", hash = "sha256:808021af1ce1111104973ae54d81738eaf40be6d1e82fc6bdedb82f81c6206e7"},
1307
  {file = "huggingface_hub-0.4.0.tar.gz", hash = "sha256:f0e3389f8988eb7781b17de520ae7fd0aa50d9823534e3ae55344d943a88ac87"},
 
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  {file = "idna-3.3-py3-none-any.whl", hash = "sha256:84d9dd047ffa80596e0f246e2eab0b391788b0503584e8945f2368256d2735ff"},
1311
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1312
  ]
1313
+ importlib-metadata = [
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1315
+ {file = "importlib_metadata-4.11.3.tar.gz", hash = "sha256:ea4c597ebf37142f827b8f39299579e31685c31d3a438b59f469406afd0f2539"},
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+ ]
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+ keras = [
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+ {file = "keras-2.8.0-py2.py3-none-any.whl", hash = "sha256:744d39dc6577dcd80ff4a4d41549e92b77d6a17e0edd58a431d30656e29bc94e"},
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+ ]
1320
+ keras-preprocessing = [
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+ {file = "Keras_Preprocessing-1.1.2-py2.py3-none-any.whl", hash = "sha256:7b82029b130ff61cc99b55f3bd27427df4838576838c5b2f65940e4fcec99a7b"},
1322
+ {file = "Keras_Preprocessing-1.1.2.tar.gz", hash = "sha256:add82567c50c8bc648c14195bf544a5ce7c1f76761536956c3d2978970179ef3"},
1323
+ ]
1324
  kiwisolver = [
1325
  {file = "kiwisolver-1.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:70e7b7a4ebeddef423115ea31857732fc04e0f38dd1e6385e1af05b6164a3d0f"},
1326
  {file = "kiwisolver-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:384b5076b2c0172003abca9ba8b8c5efcaaffd31616f3f5e0a09dcc34772d012"},
 
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  {file = "kiwisolver-1.4.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:5ca92de8e48678a2cbbd90adb10773e3553bb9fd1c090bf0dfe5fc3337a181ea"},
1367
  {file = "kiwisolver-1.4.0.tar.gz", hash = "sha256:7508b01e211178a85d21f1f87029846b77b2404a4c68cbd14748d4d4142fa3b8"},
1368
  ]
1369
+ libclang = [
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1371
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1373
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1375
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+ ]
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+ markdown = [
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+ {file = "Markdown-3.3.6-py3-none-any.whl", hash = "sha256:9923332318f843411e9932237530df53162e29dc7a4e2b91e35764583c46c9a3"},
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+ {file = "Markdown-3.3.6.tar.gz", hash = "sha256:76df8ae32294ec39dcf89340382882dfa12975f87f45c3ed1ecdb1e8cefc7006"},
1380
+ ]
1381
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1382
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  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 = "^3.8"
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
- matplotlib = "^3.5.1"
 
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"]