


from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


snake_case							: Optional[Any]      =   {'''configuration_gpt_neox''': ['''GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GPTNeoXConfig''']}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							: str      =   ['''GPTNeoXTokenizerFast''']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							: Optional[int]      =   [
						    '''GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''GPTNeoXForCausalLM''',
						    '''GPTNeoXForQuestionAnswering''',
						    '''GPTNeoXForSequenceClassification''',
						    '''GPTNeoXForTokenClassification''',
						    '''GPTNeoXLayer''',
						    '''GPTNeoXModel''',
						    '''GPTNeoXPreTrainedModel''',
						]


if TYPE_CHECKING:
						from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_gpt_neox import (
												    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
												    GPTNeoXForCausalLM,
												    GPTNeoXForQuestionAnswering,
												    GPTNeoXForSequenceClassification,
												    GPTNeoXForTokenClassification,
												    GPTNeoXLayer,
												    GPTNeoXModel,
												    GPTNeoXPreTrainedModel,
												)


else:
						import sys

						snake_case							: Dict      =   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








def 							__lowercase     (				__lowerCAmelCase							:       int = 2_0_0     ):
							a__    =  [1, 2, 5, 1_0, 2_0, 5_0, 1_0_0, 2_0_0]
							a__    =  [0] * (pence + 1)
							a__    =  1  # base case: 1 way to make 0 pence

							for coin in coins:
														for i in range(__lowerCAmelCase      ,					pence + 1      ,					1     ):
																					number_of_ways[i] += number_of_ways[i - coin]
							return number_of_ways[pence]


if __name__ == "__main__":
						assert solution(2_00) == 7_36_82




