

from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class   lowercase_   (  __lowercase					):
      UpperCamelCase_      :		Union[str, Any]										=    ["image_processor", "tokenizer"]
      UpperCamelCase_      :		Optional[Any]										=    "BlipImageProcessor"
      UpperCamelCase_      :		Any										=    "AutoTokenizer"



      def __init__(      self				:    Dict      , A__				:    str      , A__				:    Dict		)   ->					Any:
        _snake_case						=							False
        super().__init__(A__      , A__		)
        _snake_case						=							self.image_processor



      def __call__(      self				:    Dict      , A__				:    ImageInput = None      , A__				:    Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None      , A__				:    bool = True      , A__				:    Union[bool, str, PaddingStrategy] = False      , A__				:    Union[bool, str, TruncationStrategy] = None      , A__				:    Optional[int] = None      , A__				:    int = 0      , A__				:    Optional[int] = None      , A__				:    Optional[bool] = None      , A__				:    bool = False      , A__				:    bool = False      , A__				:    bool = False      , A__				:    bool = False      , A__				:    bool = False      , A__				:    bool = True      , A__				:    Optional[Union[str, TensorType]] = None      , **A__				:    Any      , )   ->					BatchEncoding:
        if images is None and text is None:
          raise ValueError('''You have to specify either images or text.'''		)

        # Get only text
        if images is None:
          _snake_case						=							self.tokenizer
          _snake_case						=							self.tokenizer(
              text=A__      , add_special_tokens=A__      , padding=A__      , truncation=A__      , max_length=A__      , stride=A__      , pad_to_multiple_of=A__      , return_attention_mask=A__      , return_overflowing_tokens=A__      , return_special_tokens_mask=A__      , return_offsets_mapping=A__      , return_token_type_ids=A__      , return_length=A__      , verbose=A__      , return_tensors=A__      , **A__      , )
          return text_encoding

        # add pixel_values
        _snake_case						=							self.image_processor(A__      , return_tensors=A__		)

        if text is not None:
          _snake_case						=							self.tokenizer(
              text=A__      , add_special_tokens=A__      , padding=A__      , truncation=A__      , max_length=A__      , stride=A__      , pad_to_multiple_of=A__      , return_attention_mask=A__      , return_overflowing_tokens=A__      , return_special_tokens_mask=A__      , return_offsets_mapping=A__      , return_token_type_ids=A__      , return_length=A__      , verbose=A__      , return_tensors=A__      , **A__      , )
        else:
          _snake_case						=							None

        if text_encoding is not None:
          encoding_image_processor.update(A__		)

        return encoding_image_processor



      def 						UpperCamelCase_		(      self				:    Tuple      , *A__				:    Union[str, Any]      , **A__				:    Optional[Any]		)   ->					Tuple:
        return self.tokenizer.batch_decode(*A__      , **A__		)



      def 						UpperCamelCase_		(      self				:    Dict      , *A__				:    Optional[Any]      , **A__				:    int		)   ->					Union[str, Any]:
        return self.tokenizer.decode(*A__      , **A__		)







      @property
      # Copied from transformers.models.blip.processing_blip.BlipProcessor.model_input_names
      def 						UpperCamelCase_		(      self				:    Union[str, Any]		)   ->					int:
        _snake_case						=							self.tokenizer.model_input_names
        _snake_case						=							self.image_processor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names		)		)




from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase = 1 / sqrt(2					)					)							->     IIRFilter:



  """simple docstring"""






  _snake_case						=							tau * frequency / samplerate
  _snake_case						=							sin(_UpperCamelCase					)
  _snake_case						=							cos(_UpperCamelCase					)
  _snake_case						=							_sin / (2 * q_factor)

  _snake_case						=							(1 - _cos) / 2
  _snake_case						=							1 - _cos

  _snake_case						=							1 + alpha
  _snake_case						=							-2 * _cos
  _snake_case						=							1 - alpha

  _snake_case						=							IIRFilter(2					)
  filt.set_coefficients([aa, aa, aa]			,	[ba, ba, ba]					)
  return filt



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase = 1 / sqrt(2					)					)							->     IIRFilter:



  """simple docstring"""






  _snake_case						=							tau * frequency / samplerate
  _snake_case						=							sin(_UpperCamelCase					)
  _snake_case						=							cos(_UpperCamelCase					)
  _snake_case						=							_sin / (2 * q_factor)

  _snake_case						=							(1 + _cos) / 2
  _snake_case						=							-1 - _cos

  _snake_case						=							1 + alpha
  _snake_case						=							-2 * _cos
  _snake_case						=							1 - alpha

  _snake_case						=							IIRFilter(2					)
  filt.set_coefficients([aa, aa, aa]			,	[ba, ba, ba]					)
  return filt



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase = 1 / sqrt(2					)					)							->     IIRFilter:



  """simple docstring"""






  _snake_case						=							tau * frequency / samplerate
  _snake_case						=							sin(_UpperCamelCase					)
  _snake_case						=							cos(_UpperCamelCase					)
  _snake_case						=							_sin / (2 * q_factor)

  _snake_case						=							_sin / 2
  _snake_case						=							0
  _snake_case						=							-ba

  _snake_case						=							1 + alpha
  _snake_case						=							-2 * _cos
  _snake_case						=							1 - alpha

  _snake_case						=							IIRFilter(2					)
  filt.set_coefficients([aa, aa, aa]			,	[ba, ba, ba]					)
  return filt



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase = 1 / sqrt(2					)					)							->     IIRFilter:



  """simple docstring"""






  _snake_case						=							tau * frequency / samplerate
  _snake_case						=							sin(_UpperCamelCase					)
  _snake_case						=							cos(_UpperCamelCase					)
  _snake_case						=							_sin / (2 * q_factor)

  _snake_case						=							1 - alpha
  _snake_case						=							-2 * _cos
  _snake_case						=							1 + alpha

  _snake_case						=							IIRFilter(2					)
  filt.set_coefficients([ba, ba, ba]			,	[ba, ba, ba]					)
  return filt



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase = 1 / sqrt(2					)			,	)							->     IIRFilter:



  """simple docstring"""






  _snake_case						=							tau * frequency / samplerate
  _snake_case						=							sin(_UpperCamelCase					)
  _snake_case						=							cos(_UpperCamelCase					)
  _snake_case						=							_sin / (2 * q_factor)
  _snake_case						=							10 ** (gain_db / 40)

  _snake_case						=							1 + alpha * big_a
  _snake_case						=							-2 * _cos
  _snake_case						=							1 - alpha * big_a
  _snake_case						=							1 + alpha / big_a
  _snake_case						=							-2 * _cos
  _snake_case						=							1 - alpha / big_a

  _snake_case						=							IIRFilter(2					)
  filt.set_coefficients([aa, aa, aa]			,	[ba, ba, ba]					)
  return filt



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase = 1 / sqrt(2					)			,	)							->     IIRFilter:



  """simple docstring"""






  _snake_case						=							tau * frequency / samplerate
  _snake_case						=							sin(_UpperCamelCase					)
  _snake_case						=							cos(_UpperCamelCase					)
  _snake_case						=							_sin / (2 * q_factor)
  _snake_case						=							10 ** (gain_db / 40)
  _snake_case						=							(big_a + 1) - (big_a - 1) * _cos
  _snake_case						=							(big_a + 1) + (big_a - 1) * _cos
  _snake_case						=							(big_a - 1) - (big_a + 1) * _cos
  _snake_case						=							(big_a - 1) + (big_a + 1) * _cos
  _snake_case						=							2 * sqrt(_UpperCamelCase					) * alpha

  _snake_case						=							big_a * (pmc + aaa)
  _snake_case						=							2 * big_a * mpc
  _snake_case						=							big_a * (pmc - aaa)
  _snake_case						=							ppmc + aaa
  _snake_case						=							-2 * pmpc
  _snake_case						=							ppmc - aaa

  _snake_case						=							IIRFilter(2					)
  filt.set_coefficients([aa, aa, aa]			,	[ba, ba, ba]					)
  return filt



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase = 1 / sqrt(2					)			,	)							->     IIRFilter:



  """simple docstring"""






  _snake_case						=							tau * frequency / samplerate
  _snake_case						=							sin(_UpperCamelCase					)
  _snake_case						=							cos(_UpperCamelCase					)
  _snake_case						=							_sin / (2 * q_factor)
  _snake_case						=							10 ** (gain_db / 40)
  _snake_case						=							(big_a + 1) - (big_a - 1) * _cos
  _snake_case						=							(big_a + 1) + (big_a - 1) * _cos
  _snake_case						=							(big_a - 1) - (big_a + 1) * _cos
  _snake_case						=							(big_a - 1) + (big_a + 1) * _cos
  _snake_case						=							2 * sqrt(_UpperCamelCase					) * alpha

  _snake_case						=							big_a * (ppmc + aaa)
  _snake_case						=							-2 * big_a * pmpc
  _snake_case						=							big_a * (ppmc - aaa)
  _snake_case						=							pmc + aaa
  _snake_case						=							2 * mpc
  _snake_case						=							pmc - aaa

  _snake_case						=							IIRFilter(2					)
  filt.set_coefficients([aa, aa, aa]			,	[ba, ba, ba]					)
  return filt

