import doctest
from collections import deque

import numpy as np





class 					A							:


   def __init__(self					:						Dict		)						->    None:
         """simple docstring"""



         UpperCAmelCase__								=  [2, 1, 2, -1]
         UpperCAmelCase__								=  [1, 2, 3, 4]





   def       lowercase_				(self					:						Union[str, Any]		)						->    list[float]:
         """simple docstring"""



         UpperCAmelCase__								=  len(self.first_signal		)
         UpperCAmelCase__								=  len(self.second_signal		)

         UpperCAmelCase__								=  max(__A	,  __A		)

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

         # 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(__A		):
               UpperCAmelCase__								=  deque(self.second_signal		)
               rotated_signal.rotate(__A		)
               for j, item in enumerate(__A		):
                     matrix[i][j] += item

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

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


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




from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCamelCase__    							= {'tokenization_bertweet': ['BertweetTokenizer']}


if TYPE_CHECKING:
      from .tokenization_bertweet import BertweetTokenizer

else:
      import sys

      UpperCamelCase__    							= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



