



from __future__ import annotations

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		get_failure_array(_SCREAMING_SNAKE_CASE    )

				# 2) Step through text searching for pattern
				__a     ,					__a       =		0, 0  # index into text, pattern
				while i < len(_SCREAMING_SNAKE_CASE    ):
								if pattern[j] == text[i]:
												if j == (len(_SCREAMING_SNAKE_CASE    ) - 1):
																return True
												j += 1

								# if this is a prefix in our pattern
								# just go back far enough to continue
								elif j > 0:
												__a       =		failure[j - 1]
												continue
								i += 1
				return False

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		[0]
				__a       =		0
				__a       =		1
				while j < len(_SCREAMING_SNAKE_CASE    ):
								if pattern[i] == pattern[j]:
												i += 1
								elif i > 0:
												__a       =		failure[i - 1]
												continue
								j += 1
								failure.append(_SCREAMING_SNAKE_CASE    )
				return failure


if __name__ == "__main__":
						# Test 1)
						lowerCamelCase__			= """abc1abc12"""
						lowerCamelCase__			= """alskfjaldsabc1abc1abc12k23adsfabcabc"""
						lowerCamelCase__			= """alskfjaldsk23adsfabcabc"""
						assert kmp(pattern, texta) and not kmp(pattern, texta)

						# Test 2)
						lowerCamelCase__			= """ABABX"""
						lowerCamelCase__			= """ABABZABABYABABX"""
						assert kmp(pattern, text)

						# Test 3)
						lowerCamelCase__			= """AAAB"""
						lowerCamelCase__			= """ABAAAAAB"""
						assert kmp(pattern, text)

						# Test 4)
						lowerCamelCase__			= """abcdabcy"""
						lowerCamelCase__			= """abcxabcdabxabcdabcdabcy"""
						assert kmp(pattern, text)

						# Test 5)
						lowerCamelCase__			= """aabaabaaa"""
						assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]





import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict






@dataclass
class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	List[Any]    =ComputeEnvironment.AMAZON_SAGEMAKER
							__lowerCamelCase	:	Optional[int]    =True
							__lowerCamelCase	:	List[Any]    ='ml.p3.2xlarge'
							__lowerCamelCase	:	Optional[int]    ='accelerate_sagemaker_execution_role'
							__lowerCamelCase	:	Optional[Any]    ='hf-sm'
							__lowerCamelCase	:	Any    ='us-east-1'
							__lowerCamelCase	:	Any    =1
							__lowerCamelCase	:	List[str]    ='accelerate-sagemaker-1'
							__lowerCamelCase	:	Union[str, Any]    ='1.6'
							__lowerCamelCase	:	str    ='4.4'
							__lowerCamelCase	:	List[str]    ='train.py'
							__lowerCamelCase	:	List[Any]    =[
							    '--model_name_or_path',
							    'bert',
							    '--do_train',
							    'False',
							    '--epochs',
							    '3',
							    '--learning_rate',
							    '5e-5',
							    '--max_steps',
							    '50.5',
							]
							__lowerCamelCase	:	Tuple    =[
							    '--model_name_or_path',
							    'bert',
							    '--do_train',
							    '--do_test',
							    'False',
							    '--do_predict',
							    '--epochs',
							    '3',
							    '--learning_rate',
							    '5e-5',
							    '--max_steps',
							    '50.5',
							]






class    SCREAMING_SNAKE_CASE			(							unittest.TestCase					):





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

											'''simple docstring'''
											# If no defaults are changed, `to_kwargs` returns an empty dict.
											__a       =		_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args	)
											assert isinstance(converted_args["""model_name_or_path"""]      ,				__lowercase	)
											assert isinstance(converted_args["""do_train"""]      ,				__lowercase	)
											assert isinstance(converted_args["""epochs"""]      ,				__lowercase	)
											assert isinstance(converted_args["""learning_rate"""]      ,				__lowercase	)
											assert isinstance(converted_args["""max_steps"""]      ,				__lowercase	)

											with pytest.raises(__lowercase	):
															_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args	)
