





import unittest

import numpy as np

from transformers import BertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask


if is_flax_available():
			from transformers.models.bert.modeling_flax_bert import (
			    FlaxBertForMaskedLM,
			    FlaxBertForMultipleChoice,
			    FlaxBertForNextSentencePrediction,
			    FlaxBertForPreTraining,
			    FlaxBertForQuestionAnswering,
			    FlaxBertForSequenceClassification,
			    FlaxBertForTokenClassification,
			    FlaxBertModel,
			)

class  __A       (  unittest.TestCase      ):


				def __init__(						self				,	UpperCAmelCase_				,	UpperCAmelCase_=13				,	UpperCAmelCase_=7				,	UpperCAmelCase_=True				,	UpperCAmelCase_=True				,	UpperCAmelCase_=True				,	UpperCAmelCase_=True				,	UpperCAmelCase_=99				,	UpperCAmelCase_=32				,	UpperCAmelCase_=5				,	UpperCAmelCase_=4				,	UpperCAmelCase_=37				,	UpperCAmelCase_="gelu"				,	UpperCAmelCase_=0.1				,	UpperCAmelCase_=0.1				,	UpperCAmelCase_=512				,	UpperCAmelCase_=16				,	UpperCAmelCase_=2				,	UpperCAmelCase_=0.0_2				,	UpperCAmelCase_=4				,	):
								lowerCamelCase			=parent
								lowerCamelCase			=batch_size
								lowerCamelCase			=seq_length
								lowerCamelCase			=is_training
								lowerCamelCase			=use_attention_mask
								lowerCamelCase			=use_token_type_ids
								lowerCamelCase			=use_labels
								lowerCamelCase			=vocab_size
								lowerCamelCase			=hidden_size
								lowerCamelCase			=num_hidden_layers
								lowerCamelCase			=num_attention_heads
								lowerCamelCase			=intermediate_size
								lowerCamelCase			=hidden_act
								lowerCamelCase			=hidden_dropout_prob
								lowerCamelCase			=attention_probs_dropout_prob
								lowerCamelCase			=max_position_embeddings
								lowerCamelCase			=type_vocab_size
								lowerCamelCase			=type_sequence_label_size
								lowerCamelCase			=initializer_range
								lowerCamelCase			=num_choices


				def _snake_case    (						self							):
								lowerCamelCase			=ids_tensor([self.batch_size, self.seq_length]				,	self.vocab_size							)

								lowerCamelCase			=None
								if self.use_attention_mask:
												lowerCamelCase			=random_attention_mask([self.batch_size, self.seq_length]							)

								lowerCamelCase			=None
								if self.use_token_type_ids:
												lowerCamelCase			=ids_tensor([self.batch_size, self.seq_length]				,	self.type_vocab_size							)

								lowerCamelCase			=BertConfig(
								    vocab_size=self.vocab_size				,	hidden_size=self.hidden_size				,	num_hidden_layers=self.num_hidden_layers				,	num_attention_heads=self.num_attention_heads				,	intermediate_size=self.intermediate_size				,	hidden_act=self.hidden_act				,	hidden_dropout_prob=self.hidden_dropout_prob				,	attention_probs_dropout_prob=self.attention_probs_dropout_prob				,	max_position_embeddings=self.max_position_embeddings				,	type_vocab_size=self.type_vocab_size				,	is_decoder=UpperCAmelCase_				,	initializer_range=self.initializer_range				,	)

								return config, input_ids, token_type_ids, attention_mask


				def _snake_case    (						self							):
								lowerCamelCase			=self.prepare_config_and_inputs()
								lowerCamelCase	,					lowerCamelCase	,					lowerCamelCase	,					lowerCamelCase			=config_and_inputs
								lowerCamelCase			={"""input_ids""": input_ids, """token_type_ids""": token_type_ids, """attention_mask""": attention_mask}
								return config, inputs_dict


				def _snake_case    (						self							):
								lowerCamelCase			=self.prepare_config_and_inputs()
								lowerCamelCase	,					lowerCamelCase	,					lowerCamelCase	,					lowerCamelCase			=config_and_inputs

								lowerCamelCase			=True
								lowerCamelCase			=floats_tensor([self.batch_size, self.seq_length, self.hidden_size]							)
								lowerCamelCase			=ids_tensor([self.batch_size, self.seq_length]				,	vocab_size=2							)

								return (
								    config,
								    input_ids,
								    attention_mask,
								    encoder_hidden_states,
								    encoder_attention_mask,
								)




@require_flax
class  __A       (  a_      ,   unittest.TestCase      ):
				__A								=			True

				__A								=			(
				    (
				        FlaxBertModel,
				        FlaxBertForPreTraining,
				        FlaxBertForMaskedLM,
				        FlaxBertForMultipleChoice,
				        FlaxBertForQuestionAnswering,
				        FlaxBertForNextSentencePrediction,
				        FlaxBertForSequenceClassification,
				        FlaxBertForTokenClassification,
				        FlaxBertForQuestionAnswering,
				    )
				    if is_flax_available()
				    else ()
				)


				def _snake_case    (						self							):
								lowerCamelCase			=FlaxBertModelTester(self							)


				@slow
				def _snake_case    (						self							):
								lowerCamelCase			=FlaxBertModel.from_pretrained("""bert-base-cased"""							)
								lowerCamelCase			=model(np.ones((1, 1)							)							)
								self.assertIsNotNone(UpperCAmelCase_							)












from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

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

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

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

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

				lowerCamelCase			=_sin / 2
				lowerCamelCase			=0
				lowerCamelCase			=-ba

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)			)  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)     , )  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)
				lowerCamelCase			=10 ** (gain_db / 40)

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)     , )  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)
				lowerCamelCase			=10 ** (gain_db / 40)
				lowerCamelCase			=(big_a + 1) - (big_a - 1) * _cos
				lowerCamelCase			=(big_a + 1) + (big_a - 1) * _cos
				lowerCamelCase			=(big_a - 1) - (big_a + 1) * _cos
				lowerCamelCase			=(big_a - 1) + (big_a + 1) * _cos
				lowerCamelCase			=2 * sqrt(_UpperCAmelCase			) * alpha

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

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





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase = 1 / sqrt(2			)     , )  ->					IIRFilter:
				lowerCamelCase			=tau * frequency / samplerate
				lowerCamelCase			=sin(_UpperCAmelCase			)
				lowerCamelCase			=cos(_UpperCAmelCase			)
				lowerCamelCase			=_sin / (2 * q_factor)
				lowerCamelCase			=10 ** (gain_db / 40)
				lowerCamelCase			=(big_a + 1) - (big_a - 1) * _cos
				lowerCamelCase			=(big_a + 1) + (big_a - 1) * _cos
				lowerCamelCase			=(big_a - 1) - (big_a + 1) * _cos
				lowerCamelCase			=(big_a - 1) + (big_a + 1) * _cos
				lowerCamelCase			=2 * sqrt(_UpperCAmelCase			) * alpha

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

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





