


from __future__ import annotations




def    snake_case_     (  snake_case			,							snake_case = None     )  ->				Dict:
       lowercase__:   Any  			=   word_bank or []
       # create a table
       lowercase__:   int  			=   len(__lowerCamelCase     ) + 1

       lowercase__:   list[list[list[str]]]  			=   []
       for _ in range(__lowerCamelCase     ):
              table.append([]     )
       # seed value
       lowercase__:   List[str]  			=   [[]]  # because empty string has empty combination

       # iterate through the indices
       for i in range(__lowerCamelCase     ):
              # condition
              if table[i] != []:
                     for word in word_bank:
                            # slice condition
                            if target[i : i + len(__lowerCamelCase     )] == word:
                                   lowercase__:   list[list[str]]  			=   [
                                       [word, *way] for way in table[i]
                                   ]
                                   # adds the word to every combination the current position holds
                                   # now,push that combination to the table[i+len(word)]
                                   table[i + len(__lowerCamelCase     )] += new_combinations

    # combinations are in reverse order so reverse for better output
       for combination in table[len(__lowerCamelCase     )]:
              combination.reverse()

       return table[len(__lowerCamelCase     )]


if __name__ == "__main__":
 print(all_construct('''jwajalapa''', ['''jwa''', '''j''', '''w''', '''a''', '''la''', '''lapa''']))
 print(all_construct('''rajamati''', ['''s''', '''raj''', '''amat''', '''raja''', '''ma''', '''i''', '''t''']))
 print(
     all_construct(
         '''hexagonosaurus''',
         ['''h''', '''ex''', '''hex''', '''ag''', '''ago''', '''ru''', '''auru''', '''rus''', '''go''', '''no''', '''o''', '''s'''],
     )
 )









'''simple docstring'''


import pytest

from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def 							UpperCAmelCase_  (						__lowerCamelCase					:					List[str] ):
   monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"	,set() )
@pytest.fixture
def 							UpperCAmelCase_  (						__lowerCamelCase					:					Any ):
   class       a_   :





        def __init__( self		:					int	,      lowercase		:					int						):





           """simple docstring"""




           lowercase_			:Optional[Any]    			= metric_id







   class       a_   :
        __A      =			[MetricMock(_lowerCAmelCase							) for metric_id in ["accuracy", "mse", "precision", "codeparrot/apps_metric"]]





        def 							lowercase__      ( self		:					Union[str, Any]						):





           """simple docstring"""




           return self._metrics







   monkeypatch.setattr("datasets.inspect.huggingface_hub"	,HfhMock() )


@pytest.mark.parametrize(
    "func, args"	,[(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))] )
def 							UpperCAmelCase_  (						__lowerCamelCase					:					Union[str, Any]	,__lowerCamelCase					:					int	,__lowerCamelCase					:					Optional[int]	,__lowerCamelCase					:					Union[str, Any]	,__lowerCamelCase					:					Tuple ):
   if "tmp_path" in args:
      lowercase_			:Union[str, Any]    			= tuple(arg if arg != "tmp_path" else tmp_path for arg in args )
   with pytest.warns(__lowerCamelCase	,match="https://huggingface.co/docs/evaluate" ):
      func(*__lowerCamelCase )


