






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


__a :    Any								=				get_logger(__name__)



def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     List[Any]      )  -> List[str]:





     """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  __lowercase (		lowercase_					):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE				  =			False  # to tell pytest it's not a test class




     @staticmethod
     def 						lowerCAmelCase_       (			UpperCamelCase_    :     ArgumentParser			):


          """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    :     str	,		UpperCamelCase_    :     str	,		UpperCamelCase_    :     str	,		UpperCamelCase_    :     str	,		UpperCamelCase_    :     str	,		UpperCamelCase_    :     bool	,		UpperCamelCase_    :     bool	,		UpperCamelCase_    :     bool	,		UpperCamelCase_    :     bool	,		UpperCamelCase_    :     bool	,		):


          """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 						lowerCAmelCase_       (			self    :     Dict			):


          """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."""			)












def      _SCREAMING_SNAKE_CASE  (	__lowercase				:     list[int]      )  -> list[int]:





    """simple docstring"""

    if len(__lowercase      ) > 1:
        __A             =		len(__lowercase      ) // 2  # Finds the middle of the array
        __A             =		arr[
            :middle_length
        ]  # Creates an array of the elements in the first half.
        __A             =		arr[
            middle_length:
        ]  # Creates an array of the elements in the second half.
        __A             =		len(__lowercase      )
        __A             =		len(__lowercase      )
        merge(__lowercase      )  # Starts sorting the left.
        merge(__lowercase      )  # Starts sorting the right
        __A             =		0  # Left Counter
        __A             =		0  # Right Counter
        __A             =		0  # Position Counter
        while (
            left_index < left_size and right_index < right_size
        ):  # Runs until the lowers size of the left and right are sorted.
            if left_array[left_index] < right_array[right_index]:
                __A             =		left_array[left_index]
                left_index += 1
            else:
                __A             =		right_array[right_index]
                right_index += 1
            index += 1
        while (
            left_index < left_size
        ):  # Adds the left over elements in the left half of the array
            __A             =		left_array[left_index]
            left_index += 1
            index += 1
        while (
            right_index < right_size
        ):  # Adds the left over elements in the right half of the array
            __A             =		right_array[right_index]
            right_index += 1
            index += 1
    return arr


if __name__ == "__main__":
  import doctest

  doctest.testmod()




