





'''simple docstring'''







import functools
from typing import Any





def 				lowerCamelCase_					(     SCREAMING_SNAKE_CASE__					:	List[Any],	SCREAMING_SNAKE_CASE__					:	int      )       ->		List[str]:

						# Validation
						if not isinstance(SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__      ) or len(SCREAMING_SNAKE_CASE__      ) == 0:
												raise ValueError('''the string should be not empty string'''      )

						if not isinstance(SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__      ) or not all(
						    isinstance(SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__      ) and len(SCREAMING_SNAKE_CASE__      ) > 0 for item in words      ):
												raise ValueError('''the words should be a list of non-empty strings'''      )

						# Build trie
						UpperCAmelCase_	:					dict[str, Any]     =     {}
						UpperCAmelCase_	:					List[Any]     =     "WORD_KEEPER"

						for word in words:
												UpperCAmelCase_	:					Any     =     trie
												for c in word:
																		if c not in trie_node:
																								UpperCAmelCase_	:					List[str]     =     {}

																		UpperCAmelCase_	:					Dict     =     trie_node[c]

												UpperCAmelCase_	:					Tuple     =     True

						UpperCAmelCase_	:					Tuple     =     len(SCREAMING_SNAKE_CASE__      )

						# Dynamic programming method
						@functools.cache
						def is_breakable(SCREAMING_SNAKE_CASE__					:	Optional[int]      ) -> bool:
												if index == len_string:
																		return True

												UpperCAmelCase_	:					Optional[Any]     =     trie
												for i in range(SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__      ):
																		UpperCAmelCase_	:					Union[str, Any]     =     trie_node.get(string[i],	SCREAMING_SNAKE_CASE__      )

																		if trie_node is None:
																								return False

																		if trie_node.get(SCREAMING_SNAKE_CASE__,	SCREAMING_SNAKE_CASE__      ) and is_breakable(i + 1      ):
																								return True

												return False

						return is_breakable(0      )


if __name__ == "__main__":
					import doctest

					doctest.testmod()











import os

import pytest
from attr import dataclass


_UpperCAmelCase		:  List[str]	=   "us-east-1"  # defaults region




@dataclass
class       __lowerCAmelCase				:
       _a           =  42
       _a           =  '''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
       _a           =  {
           '''task_name''': '''mnli''',
           '''per_device_train_batch_size''': 16,
           '''per_device_eval_batch_size''': 16,
           '''do_train''': True,
           '''do_eval''': True,
           '''do_predict''': True,
           '''output_dir''': '''/opt/ml/model''',
           '''overwrite_output_dir''': True,
           '''max_steps''': 500,
           '''save_steps''': 5500,
       }
       _a           =  {**hyperparameters, '''max_steps''': 1000}






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    str ):
         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     SCREAMING_SNAKE_CASE			(      self:    Dict ):
         return F"{self.framework}-transfromers-test"






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






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Optional[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 					UpperCAmelCase__     (   lowerCamelCase      ):
  lowercase			:Union[str, Any]							=  SageMakerTestEnvironment(framework=request.cls.framework      )



