




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


__magic_name__     :     Dict  							=					get_logger(__name__)
def 		a_       (   __lowerCAmelCase							):
  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 						SCREAMING_SNAKE_CASE__		(a_ ):
     lowercase_   :			Union[str, Any]   =   False  # to tell pytest it's not a test class
     @staticmethod
     def 					A__			(	__lowerCamelCase  :		List[str]	):



       """simple docstring"""
       lowerCAmelCase__								=			parser.add_parser('''test'''					,	help='''Test dataset implementation.'''	)
       test_parser.add_argument('''--name'''					,	type=_snake_case					,	default=_snake_case					,	help='''Dataset processing name'''	)
       test_parser.add_argument(
           '''--cache_dir'''					,	type=_snake_case					,	default=_snake_case					,	help='''Cache directory where the datasets are stored.'''					,	)
       test_parser.add_argument(
           '''--data_dir'''					,	type=_snake_case					,	default=_snake_case					,	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=_snake_case					,	help='''Name of the dataset to download'''	)
       test_parser.set_defaults(func=_test_command_factory	)
     def __init__(	self  :		Dict					,	__lowerCamelCase  :		List[Any]					,	__lowerCamelCase  :		Any					,	__lowerCamelCase  :		Optional[int]					,	__lowerCamelCase  :		int					,	__lowerCamelCase  :		Union[str, Any]					,	__lowerCamelCase  :		Any					,	__lowerCamelCase  :		Dict					,	__lowerCamelCase  :		List[str]					,	__lowerCamelCase  :		List[str]					,	):



       """simple docstring"""
       lowerCAmelCase__								=			dataset
       lowerCAmelCase__								=			name
       lowerCAmelCase__								=			cache_dir
       lowerCAmelCase__								=			data_dir
       lowerCAmelCase__								=			all_configs
       lowerCAmelCase__								=			save_infos
       lowerCAmelCase__								=			ignore_verifications
       lowerCAmelCase__								=			force_redownload
       lowerCAmelCase__								=			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:
         lowerCAmelCase__								=			True



     def 					A__			(	self  :		str	):



       """simple docstring"""
       fl_logger().setLevel(_snake_case	)
       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	)
       lowerCAmelCase__								=			self._dataset, self._name
       lowerCAmelCase__								=			dataset_module_factory(_snake_case	)
       lowerCAmelCase__								=			import_main_class(module.module_path	)
       lowerCAmelCase__								=			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=_snake_case					,	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})"""	)
         lowerCAmelCase__								=			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=_snake_case					,	)
         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:
           lowerCAmelCase__								=			os.path.join(builder_cls.get_imported_module_dir()					,	'''README.md'''	)
           lowerCAmelCase__								=			Path(_snake_case	).name + '''.py'''
           lowerCAmelCase__								=			os.path.join(_snake_case					,	_snake_case	)
           if os.path.isfile(_snake_case	):
             lowerCAmelCase__								=			os.path.dirname(_snake_case	)
           elif os.path.isfile(_snake_case	):
             lowerCAmelCase__								=			path
           elif os.path.isdir(_snake_case	):  # for local directories containing only data files
             lowerCAmelCase__								=			path
           else:  # in case of a remote dataset
             lowerCAmelCase__								=			None
             print(F"""Dataset card saved at {dataset_readme_path}"""	)

           # Move dataset_info back to the user
           if dataset_dir is not None:
             lowerCAmelCase__								=			os.path.join(_snake_case					,	'''README.md'''	)
             copyfile(_snake_case					,	_snake_case	)
             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	)
           lowerCAmelCase__								=			os.path.join(self._cache_dir					,	datasets.config.DOWNLOADED_DATASETS_DIR	)
           if os.path.isdir(_snake_case	):
             logger.warning(F"""Clearing cache at {download_dir}"""	)
             rmtree(_snake_case	)

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







__magic_name__     :     dict[str, float]  							=					{
    "kilogram": 1,
    "gram": pow(10, 3),
    "milligram": pow(10, 6),
    "metric-ton": pow(10, -3),
    "long-ton": 0.0009842073,
    "short-ton": 0.0011023122,
    "pound": 2.2046244202,
    "stone": 0.1574731728,
    "ounce": 35.273990723,
    "carrat": 50_00,
    "atomic-mass-unit": 6.022_136_652E26,
}

__magic_name__     :     dict[str, float]  							=					{
    "kilogram": 1,
    "gram": pow(10, -3),
    "milligram": pow(10, -6),
    "metric-ton": pow(10, 3),
    "long-ton": 1016.04608,
    "short-ton": 907.184,
    "pound": 0.453592,
    "stone": 6.35029,
    "ounce": 0.0283495,
    "carrat": 0.0002,
    "atomic-mass-unit": 1.660_540_199E-27,
}
def 		a_       (   __lowerCAmelCase      ,   __lowerCAmelCase      ,   __lowerCAmelCase							):
  if to_type not in KILOGRAM_CHART or from_type not in WEIGHT_TYPE_CHART:
    lowerCAmelCase__								=			(
        F"""Invalid 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"""
        F"""Supported values are: {', '.join(__lowerCAmelCase							)}"""
    )
    raise ValueError(__lowerCAmelCase							)
  return value * KILOGRAM_CHART[to_type] * WEIGHT_TYPE_CHART[from_type]


if __name__ == "__main__":
      import doctest

      doctest.testmod()

