




from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 1 / sqrt(2      )      )     ->	IIRFilter:
  lowerCAmelCase__				:  List[str]		       =     tau * frequency / samplerate
  lowerCAmelCase__				:  Any		       =     sin(UpperCamelCase      )
  lowerCAmelCase__				:  Dict		       =     cos(UpperCamelCase      )
  lowerCAmelCase__				:  Union[str, Any]		       =     _sin / (2 * q_factor)

  lowerCAmelCase__				:  Any		       =     (1 - _cos) / 2
  lowerCAmelCase__				:  int		       =     1 - _cos

  lowerCAmelCase__				:  Optional[Any]		       =     1 + alpha
  lowerCAmelCase__				:  List[Any]		       =     -2 * _cos
  lowerCAmelCase__				:  Optional[int]		       =     1 - alpha

  lowerCAmelCase__				:  Tuple		       =     IIRFilter(2      )
  filt.set_coefficients([aa, aa, aa]	,      [ba, ba, ba]      )
  return filt



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 1 / sqrt(2      )      )     ->	IIRFilter:
  lowerCAmelCase__				:  Tuple		       =     tau * frequency / samplerate
  lowerCAmelCase__				:  List[str]		       =     sin(UpperCamelCase      )
  lowerCAmelCase__				:  Optional[Any]		       =     cos(UpperCamelCase      )
  lowerCAmelCase__				:  Optional[Any]		       =     _sin / (2 * q_factor)

  lowerCAmelCase__				:  str		       =     (1 + _cos) / 2
  lowerCAmelCase__				:  List[Any]		       =     -1 - _cos

  lowerCAmelCase__				:  Tuple		       =     1 + alpha
  lowerCAmelCase__				:  str		       =     -2 * _cos
  lowerCAmelCase__				:  Tuple		       =     1 - alpha

  lowerCAmelCase__				:  Any		       =     IIRFilter(2      )
  filt.set_coefficients([aa, aa, aa]	,      [ba, ba, ba]      )
  return filt



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 1 / sqrt(2      )      )     ->	IIRFilter:
  lowerCAmelCase__				:  Any		       =     tau * frequency / samplerate
  lowerCAmelCase__				:  Optional[Any]		       =     sin(UpperCamelCase      )
  lowerCAmelCase__				:  List[str]		       =     cos(UpperCamelCase      )
  lowerCAmelCase__				:  Any		       =     _sin / (2 * q_factor)

  lowerCAmelCase__				:  Optional[Any]		       =     _sin / 2
  lowerCAmelCase__				:  Optional[Any]		       =     0
  lowerCAmelCase__				:  Dict		       =     -ba

  lowerCAmelCase__				:  Optional[Any]		       =     1 + alpha
  lowerCAmelCase__				:  Union[str, Any]		       =     -2 * _cos
  lowerCAmelCase__				:  str		       =     1 - alpha

  lowerCAmelCase__				:  Union[str, Any]		       =     IIRFilter(2      )
  filt.set_coefficients([aa, aa, aa]	,      [ba, ba, ba]      )
  return filt



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 1 / sqrt(2      )      )     ->	IIRFilter:
  lowerCAmelCase__				:  int		       =     tau * frequency / samplerate
  lowerCAmelCase__				:  Any		       =     sin(UpperCamelCase      )
  lowerCAmelCase__				:  int		       =     cos(UpperCamelCase      )
  lowerCAmelCase__				:  Dict		       =     _sin / (2 * q_factor)

  lowerCAmelCase__				:  Optional[Any]		       =     1 - alpha
  lowerCAmelCase__				:  Optional[Any]		       =     -2 * _cos
  lowerCAmelCase__				:  Optional[int]		       =     1 + alpha

  lowerCAmelCase__				:  Any		       =     IIRFilter(2      )
  filt.set_coefficients([ba, ba, ba]	,      [ba, ba, ba]      )
  return filt



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 1 / sqrt(2      )	,      )     ->	IIRFilter:
  lowerCAmelCase__				:  Optional[int]		       =     tau * frequency / samplerate
  lowerCAmelCase__				:  List[Any]		       =     sin(UpperCamelCase      )
  lowerCAmelCase__				:  List[str]		       =     cos(UpperCamelCase      )
  lowerCAmelCase__				:  Optional[Any]		       =     _sin / (2 * q_factor)
  lowerCAmelCase__				:  str		       =     10 ** (gain_db / 40)

  lowerCAmelCase__				:  int		       =     1 + alpha * big_a
  lowerCAmelCase__				:  Optional[int]		       =     -2 * _cos
  lowerCAmelCase__				:  Optional[Any]		       =     1 - alpha * big_a
  lowerCAmelCase__				:  List[str]		       =     1 + alpha / big_a
  lowerCAmelCase__				:  Optional[int]		       =     -2 * _cos
  lowerCAmelCase__				:  Optional[int]		       =     1 - alpha / big_a

  lowerCAmelCase__				:  Tuple		       =     IIRFilter(2      )
  filt.set_coefficients([aa, aa, aa]	,      [ba, ba, ba]      )
  return filt



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 1 / sqrt(2      )	,      )     ->	IIRFilter:
  lowerCAmelCase__				:  str		       =     tau * frequency / samplerate
  lowerCAmelCase__				:  List[Any]		       =     sin(UpperCamelCase      )
  lowerCAmelCase__				:  int		       =     cos(UpperCamelCase      )
  lowerCAmelCase__				:  Optional[int]		       =     _sin / (2 * q_factor)
  lowerCAmelCase__				:  Union[str, Any]		       =     10 ** (gain_db / 40)
  lowerCAmelCase__				:  Union[str, Any]		       =     (big_a + 1) - (big_a - 1) * _cos
  lowerCAmelCase__				:  Tuple		       =     (big_a + 1) + (big_a - 1) * _cos
  lowerCAmelCase__				:  Union[str, Any]		       =     (big_a - 1) - (big_a + 1) * _cos
  lowerCAmelCase__				:  Tuple		       =     (big_a - 1) + (big_a + 1) * _cos
  lowerCAmelCase__				:  Optional[int]		       =     2 * sqrt(UpperCamelCase      ) * alpha

  lowerCAmelCase__				:  int		       =     big_a * (pmc + aaa)
  lowerCAmelCase__				:  List[str]		       =     2 * big_a * mpc
  lowerCAmelCase__				:  Tuple		       =     big_a * (pmc - aaa)
  lowerCAmelCase__				:  Optional[int]		       =     ppmc + aaa
  lowerCAmelCase__				:  Union[str, Any]		       =     -2 * pmpc
  lowerCAmelCase__				:  int		       =     ppmc - aaa

  lowerCAmelCase__				:  List[Any]		       =     IIRFilter(2      )
  filt.set_coefficients([aa, aa, aa]	,      [ba, ba, ba]      )
  return filt



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase = 1 / sqrt(2      )	,      )     ->	IIRFilter:
  lowerCAmelCase__				:  Union[str, Any]		       =     tau * frequency / samplerate
  lowerCAmelCase__				:  List[str]		       =     sin(UpperCamelCase      )
  lowerCAmelCase__				:  int		       =     cos(UpperCamelCase      )
  lowerCAmelCase__				:  Optional[Any]		       =     _sin / (2 * q_factor)
  lowerCAmelCase__				:  Any		       =     10 ** (gain_db / 40)
  lowerCAmelCase__				:  Optional[Any]		       =     (big_a + 1) - (big_a - 1) * _cos
  lowerCAmelCase__				:  Optional[Any]		       =     (big_a + 1) + (big_a - 1) * _cos
  lowerCAmelCase__				:  Optional[int]		       =     (big_a - 1) - (big_a + 1) * _cos
  lowerCAmelCase__				:  str		       =     (big_a - 1) + (big_a + 1) * _cos
  lowerCAmelCase__				:  List[Any]		       =     2 * sqrt(UpperCamelCase      ) * alpha

  lowerCAmelCase__				:  str		       =     big_a * (ppmc + aaa)
  lowerCAmelCase__				:  Tuple		       =     -2 * big_a * pmpc
  lowerCAmelCase__				:  str		       =     big_a * (ppmc - aaa)
  lowerCAmelCase__				:  Tuple		       =     pmc + aaa
  lowerCAmelCase__				:  int		       =     2 * mpc
  lowerCAmelCase__				:  str		       =     pmc - aaa

  lowerCAmelCase__				:  List[str]		       =     IIRFilter(2      )
  filt.set_coefficients([aa, aa, aa]	,      [ba, ba, ba]      )
  return filt







from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
     import numpy as np
     import tensorflow as tf

     from transformers import TFCamembertModel






@require_tf
@require_sentencepiece
@require_tokenizers
class  _lowerCAmelCase     (  unittest.TestCase	):

      @slow
      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Optional[Any]		       =     TFCamembertModel.from_pretrained('''jplu/tf-camembert-base'''		)

        lowerCAmelCase__				:  List[str]		       =     tf.convert_to_tensor(
            [[5, 121, 11, 660, 16, 730, 2_5543, 110, 83, 6]]      ,				dtype=tf.intaa      ,				)  # J'aime le camembert !"

        lowerCAmelCase__				:  str		       =     model(__UpperCAmelCase		)['''last_hidden_state''']
        lowerCAmelCase__				:  List[Any]		       =     tf.TensorShape((1, 10, 768)		)
        self.assertEqual(output.shape      ,				__UpperCAmelCase		)
        # compare the actual values for a slice.
        lowerCAmelCase__				:  int		       =     tf.convert_to_tensor(
            [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]      ,				dtype=tf.floataa      ,				)
        # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
        # camembert.eval()
        # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

        self.assertTrue(np.allclose(output[:, :3, :3].numpy()      ,				expected_slice.numpy()      ,				atol=1e-4		)		)

