




'''simple docstring'''





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 		SCREAMING_SNAKE_CASE			(     _a							):




				'''simple docstring'''





				__UpperCamelCase     				=   "roformer"







				def __init__(   self  ,						SCREAMING_SNAKE_CASE__=5_00_00  ,						SCREAMING_SNAKE_CASE__=None  ,						SCREAMING_SNAKE_CASE__=7_68  ,						SCREAMING_SNAKE_CASE__=12  ,						SCREAMING_SNAKE_CASE__=12  ,						SCREAMING_SNAKE_CASE__=30_72  ,						SCREAMING_SNAKE_CASE__="gelu"  ,						SCREAMING_SNAKE_CASE__=0.1  ,						SCREAMING_SNAKE_CASE__=0.1  ,						SCREAMING_SNAKE_CASE__=15_36  ,						SCREAMING_SNAKE_CASE__=2  ,						SCREAMING_SNAKE_CASE__=0.02  ,						SCREAMING_SNAKE_CASE__=1E-12  ,						SCREAMING_SNAKE_CASE__=0  ,						SCREAMING_SNAKE_CASE__=False  ,						SCREAMING_SNAKE_CASE__=True  ,						**SCREAMING_SNAKE_CASE__  ,						):
							'''simple docstring'''







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

							snake_case:       List[str]        =       vocab_size
							snake_case:       Any        =       hidden_size if embedding_size is None else embedding_size
							snake_case:       Union[str, Any]        =       hidden_size
							snake_case:       Optional[int]        =       num_hidden_layers
							snake_case:       int        =       num_attention_heads
							snake_case:       Optional[Any]        =       hidden_act
							snake_case:       Any        =       intermediate_size
							snake_case:       List[str]        =       hidden_dropout_prob
							snake_case:       Dict        =       attention_probs_dropout_prob
							snake_case:       Dict        =       max_position_embeddings
							snake_case:       Optional[Any]        =       type_vocab_size
							snake_case:       Dict        =       initializer_range
							snake_case:       Optional[int]        =       layer_norm_eps
							snake_case:       str        =       rotary_value
							snake_case:       Tuple        =       use_cache






class 		SCREAMING_SNAKE_CASE			(     _a							):




				'''simple docstring'''





				@property
				def        _UpperCamelCase							(   self				):
							'''simple docstring'''







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



def 		_A		(		_lowercase )					-> int:


     """simple docstring"""


     assert column_title.isupper()
     __UpperCamelCase =			0
     __UpperCamelCase =			len(_lowercase ) - 1
     __UpperCamelCase =			0

     while index >= 0:
          __UpperCamelCase =			(ord(column_title[index] ) - 64) * pow(26					,  _lowercase )
          answer += value
          power += 1
          index -= 1

     return answer


if __name__ == "__main__":
    from doctest import testmod

    testmod()


