
"""simple docstring"""


import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


__A       						=       importlib.metadata.version('numpy')
__A       						=       '.'.join([str(x) for x in sys.version_info[:3]])







class 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''



			def 					_lowerCAmelCase		(							self  ) ->     int:
				# lt + different version strings
				require_version_core("""numpy<1000.4.5"""  )
				require_version_core("""numpy<1000.4"""  )
				require_version_core("""numpy<1000"""  )

				# le
				require_version_core("""numpy<=1000.4.5"""  )
				require_version_core(f'''numpy<={numpy_ver}'''  )

				# eq
				require_version_core(f'''numpy=={numpy_ver}'''  )

				# ne
				require_version_core("""numpy!=1000.4.5"""  )

				# ge
				require_version_core("""numpy>=1.0"""  )
				require_version_core("""numpy>=1.0.0"""  )
				require_version_core(f'''numpy>={numpy_ver}'''  )

				# gt
				require_version_core("""numpy>1.0.0"""  )

				# mix
				require_version_core("""numpy>1.0.0,<1000"""  )

				# requirement w/o version
				require_version_core("""numpy"""  )

				# unmet requirements due to version conflict
				for req in ["numpy==1.0.0", "numpy>=1000.0.0", f'''numpy<{numpy_ver}''']:
					try:
						require_version_core(__UpperCAmelCase  )
					except ImportError as e:
						self.assertIn(f'''{req} is required'''     ,     str(__UpperCAmelCase  )  )
						self.assertIn("""but found"""     ,     str(__UpperCAmelCase  )  )

        # unmet requirements due to missing module
				for req in ["numpipypie>1", "numpipypie2"]:
					try:
						require_version_core(__UpperCAmelCase  )
					except importlib.metadata.PackageNotFoundError as e:
						self.assertIn(f'''The \'{req}\' distribution was not found and is required by this application'''     ,     str(__UpperCAmelCase  )  )
						self.assertIn("""Try: pip install transformers -U"""     ,     str(__UpperCAmelCase  )  )

        # bogus requirements formats:
        # 1. whole thing
				for req in ["numpy??1.0.0", "numpy1.0.0"]:
					try:
						require_version_core(__UpperCAmelCase  )
					except ValueError as e:
						self.assertIn("""requirement needs to be in the pip package format"""     ,     str(__UpperCAmelCase  )  )
        # 2. only operators
				for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
					try:
						require_version_core(__UpperCAmelCase  )
					except ValueError as e:
						self.assertIn("""need one of """     ,     str(__UpperCAmelCase  )  )



			def 					_lowerCAmelCase		(							self  ) ->     Union[str, Any]:
				# matching requirement
				require_version("""python>=3.6.0"""  )

				# not matching requirements
				for req in ["python>9.9.9", "python<3.0.0"]:
					try:
						require_version_core(__UpperCAmelCase  )
					except ImportError as e:
						self.assertIn(f'''{req} is required'''     ,     str(__UpperCAmelCase  )  )
						self.assertIn(f'''but found python=={python_ver}'''     ,     str(__UpperCAmelCase  )  )








from dataclasses import dataclass
from typing import Callable, Optional

import datasets







@dataclass
class 							a_  (		datasets.BuilderConfig				):
						UpperCamelCase__      :						Optional[Callable]				       =None
						UpperCamelCase__      :						Optional[dict]				       =None
						UpperCamelCase__      :						Optional[datasets.Features]				       =None

						def 	__a       (    self	:List[str])		->					List[str]:
												assert self.generator is not None, "generator must be specified"

												if self.gen_kwargs is None:
																		UpperCAmelCase_     							=     {}







class 							a_  (		datasets.GeneratorBasedBuilder				):
						UpperCamelCase__      :						List[str]				       =GeneratorConfig

						def 	__a       (    self	:List[str])		->					List[Any]:
												return datasets.DatasetInfo(features=self.config.features)

						def 	__a       (    self	:Optional[Any]   ,						_lowercase	:List[str])		->					Optional[Any]:
												return [datasets.SplitGenerator(name=datasets.Split.TRAIN   ,						gen_kwargs=self.config.gen_kwargs)]




						def 	__a       (    self	:Optional[int]   ,						**_lowercase	:str)		->					Union[str, Any]:
												for idx, ex in enumerate(self.config.generator(**_lowercase)):
																		yield idx, ex





