





'''simple docstring'''

import os
from tempfile import TemporaryDirectory
from unittest import TestCase

import pytest
from absl.testing import parameterized

from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatasetDict
from datasets.iterable_dataset import IterableDataset
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.file_utils import cached_path


lowercase__		:     Tuple			=							[
    {'dataset': 'wikipedia', 'config_name': '20220301.de'},
    {'dataset': 'wikipedia', 'config_name': '20220301.en'},
    {'dataset': 'wikipedia', 'config_name': '20220301.fr'},
    {'dataset': 'wikipedia', 'config_name': '20220301.frr'},
    {'dataset': 'wikipedia', 'config_name': '20220301.it'},
    {'dataset': 'wikipedia', 'config_name': '20220301.simple'},
    {'dataset': 'snli', 'config_name': 'plain_text'},
    {'dataset': 'eli5', 'config_name': 'LFQA_reddit'},
    {'dataset': 'wiki40b', 'config_name': 'en'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.nq.compressed'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.nq.no_index'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.multiset.no_index'},
    {'dataset': 'natural_questions', 'config_name': 'default'},
]







def    a__							(							lowercase   :	Tuple=True )						->						List[Any]:





     """simple docstring"""

     if with_config:
          return [
              {
                  "testcase_name": d["dataset"] + "/" + d["config_name"],
                  "dataset": d["dataset"],
                  "config_name": d["config_name"],
              }
              for d in DATASETS_ON_HF_GCP
          ]
     else:
          return [
              {"testcase_name": dataset, "dataset": dataset} for dataset in {d["dataset"] for d in DATASETS_ON_HF_GCP}
          ]
@parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=__magic_name__					)					)
class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Union[str, Any]									=       None
       _snake_case      :	Dict									=       None





       def snake_case__		(				self  :						Optional[Any]			,					lowerCAmelCase__  :						List[str]			,					lowerCAmelCase__  :						Any	)       ->	Dict:

            '''simple docstring'''




            with TemporaryDirectory() as tmp_dir:
                 _UpperCamelCase							       =			dataset_module_factory(lowerCAmelCase__			,					cache_dir=lowerCAmelCase__	)

                 _UpperCamelCase							       =			import_main_class(dataset_module.module_path			,					dataset=lowerCAmelCase__	)

                 _UpperCamelCase							       =			builder_cls(
                     cache_dir=lowerCAmelCase__			,					config_name=lowerCAmelCase__			,					hash=dataset_module.hash			,					)

                 _UpperCamelCase							       =			'''/'''.join(
                     [
                         HF_GCP_BASE_URL,
                         builder_instance._relative_data_dir(with_hash=lowerCAmelCase__	).replace(os.sep			,					'''/'''	),
                         config.DATASET_INFO_FILENAME,
                     ]	)
                 _UpperCamelCase							       =			cached_path(lowerCAmelCase__			,					cache_dir=lowerCAmelCase__	)
                 self.assertTrue(os.path.exists(lowerCAmelCase__	)	)







@pytest.mark.integration
def    a__							(							lowercase   :	Any )						->						List[Any]:





     """simple docstring"""

     _UpperCamelCase							       =			tmp_path_factory.mktemp('''test_hf_gcp''' ) / '''test_wikipedia_simple'''
     _UpperCamelCase							       =			dataset_module_factory('''wikipedia''',   cache_dir=lowercase )
     _UpperCamelCase							       =			import_main_class(dataset_module.module_path )
     _UpperCamelCase							       =			builder_cls(
         cache_dir=lowercase,   config_name='''20220301.frr''',   hash=dataset_module.hash,   )
     # use the HF cloud storage, not the original download_and_prepare that uses apache-beam
     _UpperCamelCase							       =			None
     builder_instance.download_and_prepare()
     _UpperCamelCase							       =			builder_instance.as_dataset()
     assert ds







@pytest.mark.integration
def    a__							(							lowercase   :	Any )						->						int:





     """simple docstring"""

     _UpperCamelCase							       =			dataset_module_factory('''wikipedia''',   cache_dir=lowercase )
     _UpperCamelCase							       =			import_main_class(dataset_module.module_path,   dataset=lowercase )
     _UpperCamelCase							       =			builder_cls(
         cache_dir=lowercase,   config_name='''20220301.frr''',   hash=dataset_module.hash,   )
     _UpperCamelCase							       =			builder_instance.as_streaming_dataset()
     assert ds
     assert isinstance(lowercase,   lowercase )
     assert "train" in ds
     assert isinstance(ds['''train'''],   lowercase )
     assert next(iter(ds['''train'''] ) )







# Lint as: python3
import itertools
import os
import re


UpperCAmelCase   :    Any     =		re.compile(r"([A-Z]+)([A-Z][a-z])")
UpperCAmelCase   :    Optional[Any]     =		re.compile(r"([a-z\d])([A-Z])")

UpperCAmelCase   :    Optional[Any]     =		re.compile(r"(?<!_)_(?!_)")
UpperCAmelCase   :    Any     =		re.compile(r"(_{2,})")

UpperCAmelCase   :    List[Any]     =		r"^\w+(\.\w+)*$"

UpperCAmelCase   :    Any     =		r"<>:/\|?*"






def 	__lowerCamelCase						(							lowerCamelCase__		:						Tuple      ):





			'''simple docstring'''




			lowerCamelCase    		=  _uppercase_uppercase_re.sub(R"""\1_\2"""  ,							lowerCamelCase__      )
			lowerCamelCase    		=  _lowercase_uppercase_re.sub(R"""\1_\2"""  ,							lowerCamelCase__      )
			return name.lower()






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[str]      ):





			'''simple docstring'''




			lowerCamelCase    		=  _single_underscore_re.split(lowerCamelCase__      )
			lowerCamelCase    		=  [_multiple_underscores_re.split(lowerCamelCase__      ) for n in name]
			return "".join(n.capitalize() for n in itertools.chain.from_iterable(lowerCamelCase__      ) if n != """"""      )






def 	__lowerCamelCase						(							lowerCamelCase__		:						Any      ):





			'''simple docstring'''




			if os.path.basename(lowerCamelCase__      ) != name:
						raise ValueError(f'Should be a dataset name, not a path: {name}'      )
			return camelcase_to_snakecase(lowerCamelCase__      )






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[str]  ,							lowerCamelCase__		:						int      ):





			'''simple docstring'''




			if os.path.basename(lowerCamelCase__      ) != name:
						raise ValueError(f'Should be a dataset name, not a path: {name}'      )
			if not re.match(_split_re  ,							lowerCamelCase__      ):
						raise ValueError(f'Split name should match \'{_split_re}\'\' but got \'{split}\'.'      )
			return f'{filename_prefix_for_name(lowerCamelCase__      )}-{split}'






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						Optional[Any]  ,							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						int=None      ):





			'''simple docstring'''




			lowerCamelCase    		=  filename_prefix_for_split(lowerCamelCase__  ,							lowerCamelCase__      )
			if filetype_suffix:
						prefix += f'.{filetype_suffix}'
			lowerCamelCase    		=  os.path.join(lowerCamelCase__  ,							lowerCamelCase__      )
			return f'{filepath}*'






def 	__lowerCamelCase						(							lowerCamelCase__		:						Dict  ,							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						List[Any]  ,							lowerCamelCase__		:						int=None  ,							lowerCamelCase__		:						str=None      ):





			'''simple docstring'''




			lowerCamelCase    		=  filename_prefix_for_split(lowerCamelCase__  ,							lowerCamelCase__      )
			lowerCamelCase    		=  os.path.join(lowerCamelCase__  ,							lowerCamelCase__      )

			if shard_lengths:
						lowerCamelCase    		=  len(lowerCamelCase__      )
						lowerCamelCase    		=  [f'{prefix}-{shard_id:05d}-of-{num_shards:05d}' for shard_id in range(lowerCamelCase__      )]
						if filetype_suffix:
									lowerCamelCase    		=  [filename + f'.{filetype_suffix}' for filename in filenames]
						return filenames
			else:
						lowerCamelCase    		=  prefix
						if filetype_suffix:
									filename += f'.{filetype_suffix}'
						return [filename]

