'''simple docstring'''





import os

import pytest
from attr import dataclass


_lowerCAmelCase  :Union[str, Any]  				=    'us-east-1'  # defaults region






@dataclass
class 				UpperCAmelCase :




    '''simple docstring'''







    snake_case__							:   str
    snake_case__							:   Any							=						'''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
    snake_case__							:   Tuple							=						{
        '''task_name''': '''mnli''',
        '''per_device_train_batch_size''': 1_6,
        '''per_device_eval_batch_size''': 1_6,
        '''do_train''': True,
        '''do_eval''': True,
        '''do_predict''': True,
        '''output_dir''': '''/opt/ml/model''',
        '''overwrite_output_dir''': True,
        '''max_steps''': 5_0_0,
        '''save_steps''': 5_5_0_0,
    }
    snake_case__							:   str							=						{**hyperparameters, '''max_steps''': 1_0_0_0}






    @property
    def       _UpperCamelCase    (       self )							-> Any:
         if self.framework == "pytorch":
              return [
                  {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
                  {"Name": "eval_accuracy", "Regex": r"eval_accuracy.*=\D*(.*?)$"},
                  {"Name": "eval_loss", "Regex": r"eval_loss.*=\D*(.*?)$"},
              ]
         else:
              return [
                  {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
                  {"Name": "eval_accuracy", "Regex": r"loss.*=\D*(.*?)]?$"},
                  {"Name": "eval_loss", "Regex": r"sparse_categorical_accuracy.*=\D*(.*?)]?$"},
              ]






    @property
    def       _UpperCamelCase    (       self )							-> List[str]:
         return F"""{self.framework}-transfromers-test"""






    @property
    def       _UpperCamelCase    (       self )							-> Any:
         return F"""./tests/sagemaker/scripts/{self.framework}"""






    @property
    def       _UpperCamelCase    (       self )							-> int:
         if self.framework == "pytorch":
              return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:1.7.1-transformers4.6.1-gpu-py36-cu110-ubuntu18.04"
         else:
              return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.6.1-gpu-py37-cu110-ubuntu18.04"






@pytest.fixture(scope='class'		)
def     __lowerCAmelCase						(       a_		)      ->	List[str]:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			str    	=       SageMakerTestEnvironment(framework=request.cls.framework		)

'''simple docstring'''





from __future__ import annotations


def     __lowerCAmelCase						(       a_       ,      a_ = None		)      ->	list[list[str]]:





     '''simple docstring'''





     SCREAMING_SNAKE_CASE					:			Optional[int]    	=       word_bank or []
     # create a table
     SCREAMING_SNAKE_CASE					:			int    	=       len(a_		) + 1

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

     # iterate through the indices
     for i in range(a_		):
          # condition
          if table[i] != []:
               for word in word_bank:
                    # slice condition
                    if target[i : i + len(a_		)] == word:
                         SCREAMING_SNAKE_CASE					:			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(a_		)] += new_combinations

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

     return table[len(a_		)]


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"""],
     )
 )



