"""simple docstring"""




import functools
from typing import Any
def  snake_case						(__lowercase ,      __lowercase						)	->	bool:

						'''simple docstring'''



						if not isinstance(__lowercase ,      __lowercase						) or len(__lowercase						) == 0:
												raise ValueError("the string should be not empty string"						)

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

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

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

																		_snake_case						:					Dict    =   trie_node[c]

												_snake_case						:					Any    =   True

						_snake_case						:					Union[str, Any]    =   len(__lowercase						)

						# Dynamic programming method
						@functools.cache
						def is_breakable(__lowercase						) -> bool:
												if index == len_string:
																		return True

												_snake_case						:					str    =   trie
												for i in range(__lowercase ,      __lowercase						):
																		_snake_case						:					Any    =   trie_node.get(string[i] ,      __lowercase						)

																		if trie_node is None:
																								return False

																		if trie_node.get(__lowercase ,      __lowercase						) 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


__SCREAMING_SNAKE_CASE						:   int         =			'us-east-1'  # defaults region



@dataclass
class        lowercase_   :
							_lowerCamelCase						=		42
							_lowerCamelCase						=		'arn:aws:iam::558105141721:role/sagemaker_execution_role'
							_lowerCamelCase						=		{
							    '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': 5_500,
							}
							_lowerCamelCase						=		{**hyperparameters, 'max_steps': 1_000}



							@property
							def 	UpperCamelCase	(						self    ):
													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    ):
													return f"""{self.framework}-transfromers-test"""



							@property
							def 	UpperCamelCase	(						self    ):
													return f"""./tests/sagemaker/scripts/{self.framework}"""



							@property
							def 	UpperCamelCase	(						self    ):
													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  snake_case						(__lowercase						)	->	str:

						'''simple docstring'''



						_snake_case						:					List[str]    =   SageMakerTestEnvironment(framework=request.cls.framework						)