



'''simple docstring'''





import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


lowercase_			=  get_logger(__name__)




def lowerCAmelCase  (__A):



    """simple docstring"""



    return TestCommand(
        args.dataset  ,     args.name  ,     args.cache_dir  ,     args.data_dir  ,     args.all_configs  ,     args.save_info or args.save_infos  ,     args.ignore_verifications  ,     args.force_redownload  ,     args.clear_cache  ,     )






class __A      (  lowercase_						):



 '''simple docstring'''







 __lowerCamelCase   :	str										=	False  # to tell pytest it's not a test class



 @staticmethod
 def  a__  (A	)   ->					Dict:


     """simple docstring"""



     _a     =  parser.add_parser('''test'''			,       help='''Test dataset implementation.'''	)
     test_parser.add_argument('''--name'''			,       type=UpperCamelCase_			,       default=UpperCamelCase_			,       help='''Dataset processing name'''	)
     test_parser.add_argument(
         '''--cache_dir'''			,       type=UpperCamelCase_			,       default=UpperCamelCase_			,       help='''Cache directory where the datasets are stored.'''			,       )
     test_parser.add_argument(
         '''--data_dir'''			,       type=UpperCamelCase_			,       default=UpperCamelCase_			,       help='''Can be used to specify a manual directory to get the files from.'''			,       )
     test_parser.add_argument('''--all_configs'''			,       action='''store_true'''			,       help='''Test all dataset configurations'''	)
     test_parser.add_argument(
         '''--save_info'''			,       action='''store_true'''			,       help='''Save the dataset infos in the dataset card (README.md)'''	)
     test_parser.add_argument(
         '''--ignore_verifications'''			,       action='''store_true'''			,       help='''Run the test without checksums and splits checks.'''			,       )
     test_parser.add_argument('''--force_redownload'''			,       action='''store_true'''			,       help='''Force dataset redownload'''	)
     test_parser.add_argument(
         '''--clear_cache'''			,       action='''store_true'''			,       help='''Remove downloaded files and cached datasets after each config test'''			,       )
     # aliases
     test_parser.add_argument('''--save_infos'''			,       action='''store_true'''			,       help='''alias to save_info'''	)
     test_parser.add_argument('''dataset'''			,       type=UpperCamelCase_			,       help='''Name of the dataset to download'''	)
     test_parser.set_defaults(func=_test_command_factory	)



 def __init__(self			,       A			,       A			,       A			,       A			,       A			,       A			,       A			,       A			,       A			,       )   ->					str:


     """simple docstring"""



     _a     =  dataset
     _a     =  name
     _a     =  cache_dir
     _a     =  data_dir
     _a     =  all_configs
     _a     =  save_infos
     _a     =  ignore_verifications
     _a     =  force_redownload
     _a     =  clear_cache
     if clear_cache and not cache_dir:
         print(
             '''When --clear_cache is used, specifying a cache directory is mandatory.\n'''
             '''The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n'''
             '''Please provide a --cache_dir that will be used to test the dataset script.'''	)
         exit(1	)
     if save_infos:
         _a     =  True



 def  a__  (self	)   ->					Optional[int]:


     """simple docstring"""



     fl_logger().setLevel(UpperCamelCase_	)
     if self._name is not None and self._all_configs:
         print('''Both parameters `config` and `all_configs` can\'t be used at once.'''	)
         exit(1	)
     _a  ,   _a     =  self._dataset, self._name
     _a     =  dataset_module_factory(UpperCamelCase_	)
     _a     =  import_main_class(module.module_path	)
     _a     =  len(builder_cls.BUILDER_CONFIGS	) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

     def get_builders() -> Generator[DatasetBuilder, None, None]:
         if self._all_configs and builder_cls.BUILDER_CONFIGS:
             for i, config in enumerate(builder_cls.BUILDER_CONFIGS	):
                 if "config_name" in module.builder_kwargs:
                     yield builder_cls(
                         cache_dir=self._cache_dir			,       data_dir=self._data_dir			,       **module.builder_kwargs			,       )
                 else:
                     yield builder_cls(
                         config_name=config.name			,       cache_dir=self._cache_dir			,       data_dir=self._data_dir			,       **module.builder_kwargs			,       )
         else:
             if "config_name" in module.builder_kwargs:
                 yield builder_cls(cache_dir=self._cache_dir			,       data_dir=self._data_dir			,       **module.builder_kwargs	)
             else:
                 yield builder_cls(
                     config_name=UpperCamelCase_			,       cache_dir=self._cache_dir			,       data_dir=self._data_dir			,       **module.builder_kwargs			,       )

     for j, builder in enumerate(get_builders()	):
         print(f'''Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})'''	)
         _a     =  os.path.exists(
             os.path.join(builder.get_imported_module_dir()			,       datasets.config.DATASETDICT_INFOS_FILENAME	)	)  # record checksums only if we need to update a (deprecated) dataset_infos.json
         builder.download_and_prepare(
             download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
             if not self._force_redownload
             else DownloadMode.FORCE_REDOWNLOAD			,       verification_mode=VerificationMode.NO_CHECKS
             if self._ignore_verifications
             else VerificationMode.ALL_CHECKS			,       try_from_hf_gcs=UpperCamelCase_			,       )
         builder.as_dataset()
         if self._save_infos:
             builder._save_infos()

         # If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
         # The dataset_infos are saved in the YAML part of the README.md

         # Let's move it to the original directory of the dataset script, to allow the user to
         # upload them on S3 at the same time afterwards.
         if self._save_infos:
             _a     =  os.path.join(builder_cls.get_imported_module_dir()			,       '''README.md'''	)
             _a     =  Path(UpperCamelCase_	).name + '''.py'''
             _a     =  os.path.join(UpperCamelCase_			,       UpperCamelCase_	)
             if os.path.isfile(UpperCamelCase_	):
                 _a     =  os.path.dirname(UpperCamelCase_	)
             elif os.path.isfile(UpperCamelCase_	):
                 _a     =  path
             elif os.path.isdir(UpperCamelCase_	):  # for local directories containing only data files
                 _a     =  path
             else:  # in case of a remote dataset
                 _a     =  None
                 print(f'''Dataset card saved at {dataset_readme_path}'''	)

             # Move dataset_info back to the user
             if dataset_dir is not None:
                 _a     =  os.path.join(UpperCamelCase_			,       '''README.md'''	)
                 copyfile(UpperCamelCase_			,       UpperCamelCase_	)
                 print(f'''Dataset card saved at {user_dataset_readme_path}'''	)

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
         if self._clear_cache:
             if os.path.isdir(builder._cache_dir	):
                 logger.warning(f'''Clearing cache at {builder._cache_dir}'''	)
                 rmtree(builder._cache_dir	)
             _a     =  os.path.join(self._cache_dir			,       datasets.config.DOWNLOADED_DATASETS_DIR	)
             if os.path.isdir(UpperCamelCase_	):
                 logger.warning(f'''Clearing cache at {download_dir}'''	)
                 rmtree(UpperCamelCase_	)

     print('''Test successful.'''	)








'''simple docstring'''





import importlib.metadata
import sys

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


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






class __A      (  A						):



 '''simple docstring'''







 def  a__  (self	)   ->					Any:


      """simple docstring"""



      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(A	)
           except ImportError as e:
                self.assertIn(f'''{req} is required'''			,       str(A	)	)
                self.assertIn('''but found'''			,       str(A	)	)

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

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



 def  a__  (self	)   ->					int:


      """simple docstring"""



      require_version('''python>=3.6.0'''	)

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



