



from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__     = logging.get_logger(__name__)

UpperCAmelCase__     = {
    "junnyu/roformer_chinese_small": "https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json",
    "junnyu/roformer_chinese_base": "https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json",
    "junnyu/roformer_chinese_char_small": (
        "https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"
    ),
    "junnyu/roformer_chinese_char_base": (
        "https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"
    ),
    "junnyu/roformer_small_discriminator": (
        "https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"
    ),
    "junnyu/roformer_small_generator": (
        "https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}







class     __lowerCAmelCase					(    A		):
			UpperCamelCase           =  '''roformer'''



			def __init__(		self     :						Dict				,	A     :						int=5_00_00				,	A     :						Optional[int]=None				,	A     :						Optional[int]=7_68				,	A     :						int=12				,	A     :						Union[str, Any]=12				,	A     :						List[Any]=30_72				,	A     :						str="gelu"				,	A     :						List[str]=0.1				,	A     :						str=0.1				,	A     :						Optional[Any]=15_36				,	A     :						Tuple=2				,	A     :						int=0.0_2				,	A     :						List[Any]=1E-12				,	A     :						Dict=0				,	A     :						Tuple=False				,	A     :						List[Any]=True				,	**A     :						List[Any]				,	)     ->					Any:



						"""simple docstring"""






						super().__init__(pad_token_id=A				,	**A)

						_UpperCAmelCase	 =     vocab_size
						_UpperCAmelCase	 =     hidden_size if embedding_size is None else embedding_size
						_UpperCAmelCase	 =     hidden_size
						_UpperCAmelCase	 =     num_hidden_layers
						_UpperCAmelCase	 =     num_attention_heads
						_UpperCAmelCase	 =     hidden_act
						_UpperCAmelCase	 =     intermediate_size
						_UpperCAmelCase	 =     hidden_dropout_prob
						_UpperCAmelCase	 =     attention_probs_dropout_prob
						_UpperCAmelCase	 =     max_position_embeddings
						_UpperCAmelCase	 =     type_vocab_size
						_UpperCAmelCase	 =     initializer_range
						_UpperCAmelCase	 =     layer_norm_eps
						_UpperCAmelCase	 =     rotary_value
						_UpperCAmelCase	 =     use_cache







class     __lowerCAmelCase					(    A		):



			@property
			def 					_lowerCamelCase (		self     :						Union[str, Any])     ->					Mapping[str, Mapping[int, str]]:



						"""simple docstring"""






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





import os

# Precomputes a list of the 100 first triangular numbers
UpperCAmelCase__     = [int(0.5 * n * (n + 1)) for n in range(1, 101)]





def 							A			(  )       ->				List[str]:







			'''simple docstring'''
			_UpperCAmelCase	 =     os.path.dirname(os.path.realpath(_UpperCAmelCase					)					)
			_UpperCAmelCase	 =     os.path.join(_UpperCAmelCase							,     'words.txt'					)

			_UpperCAmelCase	 =     ''
			with open(_UpperCAmelCase					) as f:
						_UpperCAmelCase	 =     f.readline()

			_UpperCAmelCase	 =     [word.strip('"'					) for word in words.strip('\r\n'					).split(','					)]
			_UpperCAmelCase	 =     [
			    word
			    for word in [sum(ord(_UpperCAmelCase					) - 64 for x in word					) for word in words]
			    if word in TRIANGULAR_NUMBERS
			]
			return len(_UpperCAmelCase					)


if __name__ == "__main__":
							print(solution())
