


import os

import pytest

from transformers.dynamic_module_utils import get_imports


snake_case__		:     Dict    				=				'''
import os
'''

snake_case__		:     Dict    				=				'''
def foo():
    import os
    return False
'''

snake_case__		:     Dict    				=				'''
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
'''

snake_case__		:     List[str]    				=				'''
import os

try:
    import bar
except ImportError:
    raise ValueError()
'''

snake_case__		:     Any    				=				'''
import os

def foo():
    try:
        import bar
    except ImportError:
        raise ValueError()
'''

snake_case__		:     Tuple    				=				'''
import os

try:
    import bar
except (ImportError, AttributeError):
    raise ValueError()
'''

snake_case__		:     List[str]    				=				'''
import os

try:
    import bar
except ImportError as e:
    raise ValueError()
'''

snake_case__		:     int    				=				'''
import os

try:
    import bar
except:
    raise ValueError()
'''

snake_case__		:     Union[str, Any]    				=				'''
import os

try:
    import bar
    import baz
except ImportError:
    raise ValueError()
'''

snake_case__		:     Optional[Any]    				=				'''
import os

try:
    import bar
    import baz
except ImportError:
    x = 1
    raise ValueError()
'''

snake_case__		:     List[str]    				=				[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]


@pytest.mark.parametrize('''case''' ,   _snake_case			)
def      _snake_case						(						_snake_case				:			int ,   _snake_case				:			Any			):
      lowerCAmelCase					:	Optional[int]       =   os.path.join(_snake_case ,   '''test_file.py'''			)
      with open(_snake_case ,   '''w'''			) as _tmp_file:
            _tmp_file.write(_snake_case			)

      lowerCAmelCase					:	List[Any]       =   get_imports(_snake_case			)
      assert parsed_imports == ["os"]






"""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


snake_case__		:     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      _snake_case						(						_snake_case				:			List[Any] ,   _snake_case				:			List[str]			):
      return (abs(source - target			) / target) < 0.01






@pytest.mark.integration
def      _snake_case						(						_snake_case				:			Any			):
      lowerCAmelCase					:	Union[str, Any]       =   _TestCommandArgs(dataset=_snake_case ,   all_configs=_snake_case ,   save_infos=_snake_case			)
      lowerCAmelCase					:	str       =   TestCommand(*_snake_case			)
      test_command.run()
      lowerCAmelCase					:	str       =   os.path.join(_snake_case ,   '''README.md'''			)
      assert os.path.exists(_snake_case			)
      lowerCAmelCase					:	Tuple       =   DatasetInfosDict.from_directory(_snake_case			)
      lowerCAmelCase					:	List[str]       =   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''': 2351563,
                          '''num_examples''': 10000,
                      },
                      {
                          '''name''': '''validation''',
                          '''num_bytes''': 238418,
                          '''num_examples''': 1000,
                      },
                  ] ,   download_size=3940680 ,   dataset_size=2589981 ,   )
          }			)
      assert dataset_infos.keys() == expected_dataset_infos.keys()
      for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
            lowerCAmelCase,      lowerCAmelCase					:	Union[str, Any]       =   getattr(dataset_infos['''default'''] ,   _snake_case			), getattr(expected_dataset_infos['''default'''] ,   _snake_case			)
            if key == "num_bytes":
                  assert is_apercent_close(_snake_case ,   _snake_case			)
            elif key == "splits":
                  assert list(_snake_case			) == list(_snake_case			)
                  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


