




"""simple docstring"""







# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


SCREAMING_SNAKE_CASE_	     =       re.compile(R'^(?P<major>\d+)' R'\.(?P<minor>\d+)' R'\.(?P<patch>\d+)$')

@total_ordering
@dataclass
class 				snake_case_			:







   """simple docstring"""




   A_				      =       42
   A_				      =       None
   A_				      =       None
   A_				      =       None
   A_				      =       None







   def   UpperCAmelCase__			(		self)				->   int:
       UpperCamelCase       ,	UpperCamelCase       ,	UpperCamelCase              =	_str_to_version_tuple(self.version_str)







   def __repr__(		self)				->   List[Any]:
       return F'{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'







   @property
   def   UpperCAmelCase__			(		self)				->   List[str]:
       return self.major, self.minor, self.patch







   def   UpperCAmelCase__			(		self       ,					lowerCamelCase_)				->   Tuple:
       if isinstance(lowerCamelCase_       ,					lowerCamelCase_):
           return Version(lowerCamelCase_)
       elif isinstance(lowerCamelCase_       ,					lowerCamelCase_):
           return other
       raise TypeError(F'{other} (type {type(lowerCamelCase_)}) cannot be compared to version.')







   def __eq__(		self       ,					lowerCamelCase_)				->   Optional[int]:
       try:
           UpperCamelCase              =	self._validate_operand(lowerCamelCase_)
       except (TypeError, ValueError):
           return False
       else:
           return self.tuple == other.tuple







   def __lt__(		self       ,					lowerCamelCase_)				->   Tuple:
       UpperCamelCase              =	self._validate_operand(lowerCamelCase_)
       return self.tuple < other.tuple







   def __hash__(		self)				->   str:
       return hash(_version_tuple_to_str(self.tuple))







   @classmethod
   def   UpperCAmelCase__			(		cls       ,					lowerCamelCase_)				->   Optional[int]:
       UpperCamelCase              =	{f.name for f in dataclasses.fields(cls)}
       return cls(**{k: v for k, v in dic.items() if k in field_names})







   def   UpperCAmelCase__			(		self)				->   str:
       return self.version_str





def      __snake_case (				_lowercase    ):


    """simple docstring"""







    UpperCamelCase              =	_VERSION_REG.match(_lowercase    )
    if not res:
        raise ValueError(f'Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'    )
    return tuple(int(_lowercase    ) for v in [res.group('''major'''    ), res.group('''minor'''    ), res.group('''patch'''    )]    )





def      __snake_case (				_lowercase    ):


    """simple docstring"""







    return ".".join(str(_lowercase    ) for v in version_tuple    )
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


SCREAMING_SNAKE_CASE			:						Union[str, 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 	__A		(      _A				,					_A       ):



 """simple docstring"""


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






@pytest.mark.integration
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	_TestCommandArgs(dataset=_A				,					all_configs=_A				,					save_infos=_A       )
 __a							=	TestCommand(*_A       )
 test_command.run()
 __a							=	os.path.join(_A				,					"README.md"       )
 assert os.path.exists(_A       )
 __a							=	DatasetInfosDict.from_directory(_A       )
 __a							=	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": 235_1563,
                     "num_examples": 1_0000,
                 },
                 {
                     "name": "validation",
                     "num_bytes": 23_8418,
                     "num_examples": 1000,
                 },
             ]				,					download_size=394_0680				,					dataset_size=258_9981				,					)
     }       )
 assert dataset_infos.keys() == expected_dataset_infos.keys()
 for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
  __a							,  __a							=	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


