
"""simple docstring"""




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


A__   :					Optional[Any]							=   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		(		_UpperCamelCase ,				_UpperCamelCase						):






  """simple docstring"""



  return (abs(source - target						) / target) < 0.01







@pytest.mark.integration
def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase:			Dict       =     _TestCommandArgs(dataset=_UpperCamelCase ,				all_configs=_UpperCamelCase ,				save_infos=_UpperCamelCase						)
  _lowercase:			int       =     TestCommand(*_UpperCamelCase						)
  test_command.run()
  _lowercase:			Tuple       =     os.path.join(_UpperCamelCase ,				'''README.md'''						)
  assert os.path.exists(_UpperCamelCase						)
  _lowercase:			Dict       =     DatasetInfosDict.from_directory(_UpperCamelCase						)
  _lowercase:			Dict       =     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_351_563,
                      '''num_examples''': 10_000,
                  },
                  {
                      '''name''': '''validation''',
                      '''num_bytes''': 238_418,
                      '''num_examples''': 1_000,
                  },
              ] ,				download_size=3_940_680 ,				dataset_size=2_589_981 ,				)
      }						)
  assert dataset_infos.keys() == expected_dataset_infos.keys()
  for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
    _lowercase ,				_lowercase:			Optional[int]       =     getattr(dataset_infos['''default'''] ,				_UpperCamelCase						), getattr(expected_dataset_infos['''default'''] ,				_UpperCamelCase						)
    if key == "num_bytes":
      assert is_apercent_close(_UpperCamelCase ,				_UpperCamelCase						)
    elif key == "splits":
      assert list(_UpperCamelCase						) == list(_UpperCamelCase						)
      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"""




from __future__ import annotations

import numpy as np




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  _lowercase ,				_lowercase:			List[str]       =     np.shape(_UpperCamelCase						)
  if rows != columns:
    _lowercase:			int       =     (
        '''\'table\' has to be of square shaped array but got a '''
        f'''{rows}x{columns} array:\n{table}'''
    )
    raise ValueError(_UpperCamelCase						)

  _lowercase:			Tuple       =     np.zeros((rows, columns)						)
  _lowercase:			Tuple       =     np.zeros((rows, columns)						)
  for i in range(_UpperCamelCase						):
    for j in range(_UpperCamelCase						):
      _lowercase:			List[Any]       =     sum(lower[i][k] * upper[k][j] for k in range(_UpperCamelCase						)						)
      if upper[j][j] == 0:
        raise ArithmeticError('''No LU decomposition exists'''						)
      _lowercase:			Any       =     (table[i][j] - total) / upper[j][j]
    _lowercase:			Any       =     1
    for j in range(_UpperCamelCase ,				_UpperCamelCase						):
      _lowercase:			Optional[int]       =     sum(lower[i][k] * upper[k][j] for k in range(_UpperCamelCase						)						)
      _lowercase:			List[str]       =     table[i][j] - total
  return lower, upper


if __name__ == "__main__":
  import doctest

  doctest.testmod()
