

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE					:  Optional[Any]             =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE					:  str             =      {
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}






class 	UpperCAmelCase__		(	A__	):






  """simple docstring"""


  a									= "mgp-str"






  def __init__(							self						:		Optional[int]     ,       __lowerCamelCase						:		int=[32, 128]     ,       __lowerCamelCase						:		Union[str, Any]=4     ,       __lowerCamelCase						:		List[Any]=3     ,       __lowerCamelCase						:		Union[str, Any]=27     ,       __lowerCamelCase						:		Dict=38     ,       __lowerCamelCase						:		Union[str, Any]=5_0257     ,       __lowerCamelCase						:		Optional[Any]=3_0522     ,       __lowerCamelCase						:		List[str]=768     ,       __lowerCamelCase						:		Any=12     ,       __lowerCamelCase						:		Dict=12     ,       __lowerCamelCase						:		Union[str, Any]=4.0     ,       __lowerCamelCase						:		Dict=True     ,       __lowerCamelCase						:		List[str]=False     ,       __lowerCamelCase						:		List[Any]=1e-5     ,       __lowerCamelCase						:		Optional[int]=0.0     ,       __lowerCamelCase						:		str=0.0     ,       __lowerCamelCase						:		Optional[Any]=0.0     ,       __lowerCamelCase						:		Tuple=False     ,       __lowerCamelCase						:		Union[str, Any]=0.02     ,       **__lowerCamelCase						:		str     ,       )		->							Tuple:
       super().__init__(**__lowerCamelCase )

       SCREAMING_SNAKE_CASE__   =   image_size
       SCREAMING_SNAKE_CASE__   =   patch_size
       SCREAMING_SNAKE_CASE__   =   num_channels
       SCREAMING_SNAKE_CASE__   =   max_token_length
       SCREAMING_SNAKE_CASE__   =   num_character_labels
       SCREAMING_SNAKE_CASE__   =   num_bpe_labels
       SCREAMING_SNAKE_CASE__   =   num_wordpiece_labels
       SCREAMING_SNAKE_CASE__   =   hidden_size
       SCREAMING_SNAKE_CASE__   =   num_hidden_layers
       SCREAMING_SNAKE_CASE__   =   num_attention_heads
       SCREAMING_SNAKE_CASE__   =   mlp_ratio
       SCREAMING_SNAKE_CASE__   =   distilled
       SCREAMING_SNAKE_CASE__   =   layer_norm_eps
       SCREAMING_SNAKE_CASE__   =   drop_rate
       SCREAMING_SNAKE_CASE__   =   qkv_bias
       SCREAMING_SNAKE_CASE__   =   attn_drop_rate
       SCREAMING_SNAKE_CASE__   =   drop_path_rate
       SCREAMING_SNAKE_CASE__   =   output_aa_attentions
       SCREAMING_SNAKE_CASE__   =   initializer_range





import doctest
from collections import deque

import numpy as np






class 	UpperCAmelCase__		:






  """simple docstring"""


  def __init__(							self						:		List[Any] )		->							None:
       SCREAMING_SNAKE_CASE__   =   [2, 1, 2, -1]
       SCREAMING_SNAKE_CASE__   =   [1, 2, 3, 4]







  def 				lowercase_		(							self						:		Optional[int] )		->							list[float]:
       SCREAMING_SNAKE_CASE__   =   len(self.first_signal )
       SCREAMING_SNAKE_CASE__   =   len(self.second_signal )

       SCREAMING_SNAKE_CASE__   =   max(__lowerCamelCase     ,       __lowerCamelCase )

       # create a zero matrix of max_length x max_length
       SCREAMING_SNAKE_CASE__   =   [[0] * max_length for i in range(__lowerCamelCase )]

       # fills the smaller signal with zeros to make both signals of same length
       if length_first_signal < length_second_signal:
            self.first_signal += [0] * (max_length - length_first_signal)
       elif length_first_signal > length_second_signal:
            self.second_signal += [0] * (max_length - length_second_signal)
       for i in range(__lowerCamelCase ):
            SCREAMING_SNAKE_CASE__   =   deque(self.second_signal )
            rotated_signal.rotate(__lowerCamelCase )
            for j, item in enumerate(__lowerCamelCase ):
                 matrix[i][j] += item

        # multiply the matrix with the first signal
       SCREAMING_SNAKE_CASE__   =   np.matmul(np.transpose(__lowerCamelCase )     ,       np.transpose(self.first_signal ) )

       # rounding-off to two decimal places
       return [round(__lowerCamelCase     ,       2 ) for i in final_signal]


if __name__ == "__main__":
       doctest.testmod()


