





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      :       Optional[int]									=  [
    {"""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_	(		A__=True				)  ->		List[str]:
       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=__UpperCAmelCase	)	)
class  A__    (							__UpperCAmelCase	):




   """simple docstring"""



   __A   :				Tuple         =  None
   __A   :				Union[str, Any]         =  None

   def 							__lowercase		(					self					,  lowercase					,  lowercase)			->						Union[str, Any]:







          '''simple docstring'''

          with TemporaryDirectory() as tmp_dir:
                 a__						:	Dict =				dataset_module_factory(lowercase					,  cache_dir=lowercase)

                 a__						:	str =				import_main_class(dataset_module.module_path					,  dataset=lowercase)

                 a__						:	DatasetBuilder =				builder_cls(
                     cache_dir=lowercase					,  config_name=lowercase					,  hash=dataset_module.hash					,  )

                 a__						:	Dict =				'/'.join(
                     [
                         HF_GCP_BASE_URL,
                         builder_instance._relative_data_dir(with_hash=lowercase).replace(os.sep					,  '/'),
                         config.DATASET_INFO_FILENAME,
                     ])
                 a__						:	List[Any] =				cached_path(lowercase					,  cache_dir=lowercase)
                 self.assertTrue(os.path.exists(lowercase))



@pytest.mark.integration
def A_	(		A__				)  ->		Any:
       a__						:	List[str] =				tmp_path_factory.mktemp('test_hf_gcp'				) / 'test_wikipedia_simple'
       a__						:	List[Any] =				dataset_module_factory('wikipedia'		,      cache_dir=A__				)
       a__						:	Optional[int] =				import_main_class(dataset_module.module_path				)
       a__						:	DatasetBuilder =				builder_cls(
           cache_dir=A__		,      config_name='20220301.frr'		,      hash=dataset_module.hash		,      )
       # use the HF cloud storage, not the original download_and_prepare that uses apache-beam
       a__						:	List[Any] =				None
       builder_instance.download_and_prepare()
       a__						:	str =				builder_instance.as_dataset()
       assert ds



@pytest.mark.integration
def A_	(		A__				)  ->		int:
       a__						:	Dict =				dataset_module_factory('wikipedia'		,      cache_dir=A__				)
       a__						:	Union[str, Any] =				import_main_class(dataset_module.module_path		,      dataset=A__				)
       a__						:	DatasetBuilder =				builder_cls(
           cache_dir=A__		,      config_name='20220301.frr'		,      hash=dataset_module.hash		,      )
       a__						:	str =				builder_instance.as_streaming_dataset()
       assert ds
       assert isinstance(A__		,      A__				)
       assert "train" in ds
       assert isinstance(ds['train']		,      A__				)
       assert next(iter(ds['train']				)				)






'''simple docstring'''







class A__       :






      def __init__( self			:List[Any]	)       ->					None:




             '''simple docstring'''
             _a    : dict[str, TrieNode]     					={}  # Mapping from char to TrieNode
             _a    : List[str]     					=False






      def __UpperCAmelCase       ( self			:Tuple     ,						SCREAMING_SNAKE_CASE			:list[str]	)       ->					None:




             '''simple docstring'''
             for word in words:
                    self.insert(SCREAMING_SNAKE_CASE	)






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''
             _a    : str     					=self
             for char in word:
                    if char not in curr.nodes:
                           _a    : Dict     					=TrieNode()
                    _a    : List[Any]     					=curr.nodes[char]
             _a    : int     					=True






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					bool:




             '''simple docstring'''
             _a    : int     					=self
             for char in word:
                    if char not in curr.nodes:
                           return False
                    _a    : List[Any]     					=curr.nodes[char]
             return curr.is_leaf






      def __UpperCAmelCase       ( self			:Dict     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''

             def _delete(SCREAMING_SNAKE_CASE			:TrieNode     ,						SCREAMING_SNAKE_CASE			:str     ,						SCREAMING_SNAKE_CASE			:int	) -> bool:
                    if index == len(SCREAMING_SNAKE_CASE	):
                           # If word does not exist
                           if not curr.is_leaf:
                                  return False
                           _a    : Any     					=False
                           return len(curr.nodes	) == 0
                    _a    : int     					=word[index]
                    _a    : int     					=curr.nodes.get(SCREAMING_SNAKE_CASE	)
                    # If char not in current trie node
                    if not char_node:
                           return False
                    # Flag to check if node can be deleted
                    _a    : List[Any]     					=_delete(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE     ,						index + 1	)
                    if delete_curr:
                           del curr.nodes[char]
                           return len(curr.nodes	) == 0
                    return delete_curr

             _delete(self     ,						SCREAMING_SNAKE_CASE     ,						0	)


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	TrieNode    ,_UpperCAmelCase	:	str  )  ->			None:
       if node.is_leaf:
              print(_UpperCAmelCase    ,end=""" """  )

       for key, value in node.nodes.items():
              print_words(_UpperCAmelCase    ,word + key  )


def 	SCREAMING_SNAKE_CASE_					(  )  ->			bool:
       _a    : List[str]     					="""banana bananas bandana band apple all beast""".split()
       _a    : List[Any]     					=TrieNode()
       root.insert_many(_UpperCAmelCase  )
       # print_words(root, "")
       assert all(root.find(_UpperCAmelCase  ) for word in words  )
       assert root.find("""banana"""  )
       assert not root.find("""bandanas"""  )
       assert not root.find("""apps"""  )
       assert root.find("""apple"""  )
       assert root.find("""all"""  )
       root.delete("""all"""  )
       assert not root.find("""all"""  )
       root.delete("""banana"""  )
       assert not root.find("""banana"""  )
       assert root.find("""bananas"""  )
       return True


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str    ,_UpperCAmelCase	:	bool  )  ->			None:
       print(str(_UpperCAmelCase  )    ,"""works!""" if passes else """doesn't work :("""  )


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       assert test_trie()


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       print_results("""Testing trie functionality"""    ,test_trie()  )


if __name__ == "__main__":
   main()


