



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase__		:					List[Any]							=logging.get_logger(__name__)

lowerCAmelCase__		:					int							={
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}

class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						UpperCamelCase__      :			Optional[int]      =  '''roberta'''






						def __init__(   self				,							_A=50_265				,							_A=768				,							_A=12				,							_A=12				,							_A=3_072				,							_A="gelu"				,							_A=0.1				,							_A=0.1				,							_A=512				,							_A=2				,							_A=0.0_2				,							_A=1e-12				,							_A=1				,							_A=0				,							_A=2				,							_A="absolute"				,							_A=True				,							_A=None				,							**_A				,							):







													'''simple docstring'''

													super().__init__(pad_token_id=_A				,							bos_token_id=_A				,							eos_token_id=_A				,							**_A		)

													__SCREAMING_SNAKE_CASE									= vocab_size
													__SCREAMING_SNAKE_CASE									= hidden_size
													__SCREAMING_SNAKE_CASE									= num_hidden_layers
													__SCREAMING_SNAKE_CASE									= num_attention_heads
													__SCREAMING_SNAKE_CASE									= hidden_act
													__SCREAMING_SNAKE_CASE									= intermediate_size
													__SCREAMING_SNAKE_CASE									= hidden_dropout_prob
													__SCREAMING_SNAKE_CASE									= attention_probs_dropout_prob
													__SCREAMING_SNAKE_CASE									= max_position_embeddings
													__SCREAMING_SNAKE_CASE									= type_vocab_size
													__SCREAMING_SNAKE_CASE									= initializer_range
													__SCREAMING_SNAKE_CASE									= layer_norm_eps
													__SCREAMING_SNAKE_CASE									= position_embedding_type
													__SCREAMING_SNAKE_CASE									= use_cache
													__SCREAMING_SNAKE_CASE									= classifier_dropout







class        UpperCAmelCase_  (       UpperCamelCase_	):

						'''simple docstring'''




						@property
						def 	_A     (   self		):







													'''simple docstring'''

													if self.task == "multiple-choice":
																				__SCREAMING_SNAKE_CASE									= {0: 'batch', 1: 'choice', 2: 'sequence'}
													else:
																				__SCREAMING_SNAKE_CASE									= {0: 'batch', 1: 'sequence'}
													return OrderedDict(
													    [
													        ('input_ids', dynamic_axis),
													        ('attention_mask', dynamic_axis),
													    ]		)











def      __lowercase       (			a__       )    ->			int:
							__SCREAMING_SNAKE_CASE									= [[0 for _ in range(a__       )] for _ in range(m + 1       )]
							for i in range(m + 1       ):
														__SCREAMING_SNAKE_CASE									= 1

							for n in range(m + 1       ):
														for k in range(1							,       a__       ):
																					memo[n][k] += memo[n][k - 1]
																					if n - k > 0:
																												memo[n][k] += memo[n - k - 1][k]

							return memo[m][m - 1]


if __name__ == "__main__":
			import sys

			if len(sys.argv) == 1:
						try:
									lowerCAmelCase__		:					Optional[Any]							=int(input('''Enter a number: ''').strip())
									print(partition(n))
						except ValueError:
									print('''Please enter a number.''')
			else:
						try:
									lowerCAmelCase__		:					str							=int(sys.argv[1])
									print(partition(n))
						except ValueError:
									print('''Please pass a number.''')






