






from collections import OrderedDict
from typing import Mapping

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


_a      	=  logging.get_logger(__name__)

_a      	=  {
    '''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 (      snake_case__):





	"""simple docstring"""






	UpperCamelCase__								=      "roformer"

	def __init__(							self       ,    UpperCAmelCase=5_0000       ,    UpperCAmelCase=None       ,    UpperCAmelCase=768       ,    UpperCAmelCase=12       ,    UpperCAmelCase=12       ,    UpperCAmelCase=3072       ,    UpperCAmelCase="gelu"       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=1536       ,    UpperCAmelCase=2       ,    UpperCAmelCase=0.02       ,    UpperCAmelCase=1e-12       ,    UpperCAmelCase=0       ,    UpperCAmelCase=False       ,    UpperCAmelCase=True       ,    **UpperCAmelCase       ,    ):
							"""simple docstring"""







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

							_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 (      snake_case__):





	"""simple docstring"""






	@property
	def        UpperCamelCase    (							self    ):
							"""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),
							    ]    )




"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list )	->						int:


    """simple docstring"""





    if not grid or not grid[0]:
        raise TypeError("The grid does not contain the appropriate information" )

    for cell_n in range(1						,							len(grid[0] ) ):
        grid[0][cell_n] += grid[0][cell_n - 1]
    snake_case    :      int      					=    grid[0]

    for row_n in range(1						,							len(lowercase ) ):
        snake_case    :      Optional[Any]      					=    grid[row_n]
        snake_case    :      List[str]      					=    fill_row(lowercase						,							lowercase )
        snake_case    :      Optional[int]      					=    grid[row_n]

    return grid[-1][-1]







def   __lowerCAmelCase						(						lowercase  :  list						,							lowercase  :  list )	->						list:


    """simple docstring"""





    current_row[0] += row_above[0]
    for cell_n in range(1						,							len(lowercase ) ):
        current_row[cell_n] += min(current_row[cell_n - 1]						,							row_above[cell_n] )

    return current_row


if __name__ == "__main__":
  import doctest

  doctest.testmod()





