



'''simple docstring'''


import doctest
from collections import deque

import numpy as np







class 	UpperCAmelCase	:


 '''simple docstring'''




 def __init__(   self) ->      None:



      """simple docstring"""







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




 def       lowercase_  (   self) ->      list[float]:



      """simple docstring"""







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

      a_       		=max(lowerCAmelCase_							,  lowerCAmelCase_)

      # create a zero matrix of max_length x max_length
      a_       		=[[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_):
           a_       		=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
      a_       		=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()







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase							       =			{
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			['''VisionEncoderDecoderModel''']

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			['''TFVisionEncoderDecoderModel''']

try:
  if not is_flax_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
  from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

  try:
    if not is_flax_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
  import sys

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


