





import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


lowerCamelCase_       =		namedtuple(
    "_TestCommandArgs",
    [
        "dataset",
        "name",
        "cache_dir",
        "data_dir",
        "all_configs",
        "save_infos",
        "ignore_verifications",
        "force_redownload",
        "clear_cache",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)



def 					__lowerCamelCase       (							a_					:		str			,       a_					:		Union[str, Any]							)      ->				Union[str, Any]:
      return (abs(source - target							) / target) < 0.01







@pytest.mark.integration
def 					__lowerCamelCase       (							a_					:		Union[str, Any]							)      ->				List[str]:
      __SCREAMING_SNAKE_CASE       :List[Any]		    =  _TestCommandArgs(dataset=A__			,       all_configs=A__			,       save_infos=A__							)
      __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  TestCommand(*A__							)
      test_command.run()
      __SCREAMING_SNAKE_CASE       :Any		    =  os.path.join(A__			,       '''README.md'''							)
      assert os.path.exists(A__							)
      __SCREAMING_SNAKE_CASE       :int		    =  DatasetInfosDict.from_directory(A__							)
      __SCREAMING_SNAKE_CASE       :int		    =  DatasetInfosDict(
          {
              '''default''': DatasetInfo(
                  features=Features(
                      {
                          '''tokens''': Sequence(Value('''string'''							)							),
                          '''ner_tags''': Sequence(
                              ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']							)							),
                          '''langs''': Sequence(Value('''string'''							)							),
                          '''spans''': Sequence(Value('''string'''							)							),
                      }							)			,       splits=[
                      {
                          '''name''': '''train''',
                          '''num_bytes''': 2_35_15_63,
                          '''num_examples''': 1_00_00,
                      },
                      {
                          '''name''': '''validation''',
                          '''num_bytes''': 23_84_18,
                          '''num_examples''': 10_00,
                      },
                  ]			,       download_size=3_94_06_80			,       dataset_size=2_58_99_81			,       )
          }							)
      assert dataset_infos.keys() == expected_dataset_infos.keys()
      for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
            __SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE       :List[Any]		    =  getattr(dataset_infos['''default''']			,       A__							), getattr(expected_dataset_infos['''default''']			,       A__							)
            if key == "num_bytes":
                  assert is_apercent_close(A__			,       A__							)
            elif key == "splits":
                  assert list(A__							) == list(A__							)
                  for split in result:
                        assert result[split].name == expected[split].name
                        assert result[split].num_examples == expected[split].num_examples
                        assert is_apercent_close(result[split].num_bytes			,       expected[split].num_bytes							)
            else:
                  result == expected






"""simple docstring"""
def 					__lowerCamelCase       (							a_					:		str							)      ->				list:
      return [
          txt[:a] + txt[a].upper() + txt[a + 1 :]
          for a in range(len(a_							)							)
          if txt[a].isalpha()
      ]


if __name__ == "__main__":
  __import__("doctest").testmod()