
'''simple docstring'''



import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format




class   UpperCAmelCase_					:






						'''simple docstring'''






						_lowercase		:				str									=       None




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.feature_extraction_class(**self.feat_extract_dict				)
												_lowerCAmelCase  						=			json.loads(feat_extract.to_json_string()				)
												for key, value in self.feat_extract_dict.items():
																		self.assertEqual(obj[key]   ,       _lowercase				)




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.feature_extraction_class(**self.feat_extract_dict				)

												with tempfile.TemporaryDirectory() as tmpdirname:
																		_lowerCAmelCase  						=			os.path.join(_lowercase   ,       """feat_extract.json"""				)
																		feat_extract_first.to_json_file(_lowercase				)
																		_lowerCAmelCase  						=			self.feature_extraction_class.from_json_file(_lowercase				)

												self.assertEqual(feat_extract_second.to_dict()   ,       feat_extract_first.to_dict()				)




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.feature_extraction_class(**self.feat_extract_dict				)

												with tempfile.TemporaryDirectory() as tmpdirname:
																		_lowerCAmelCase  						=			feat_extract_first.save_pretrained(_lowercase				)[0]
																		check_json_file_has_correct_format(_lowercase				)
																		_lowerCAmelCase  						=			self.feature_extraction_class.from_pretrained(_lowercase				)

												self.assertEqual(feat_extract_second.to_dict()   ,       feat_extract_first.to_dict()				)




						def  _lowercase     ( self				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.feature_extraction_class()
												self.assertIsNotNone(_lowercase				)


'''simple docstring'''



from __future__ import annotations




class   UpperCAmelCase_					:






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			order

												# a_{0} ... a_{k}
												_lowerCAmelCase  						=			[1.0] + [0.0] * order
												# b_{0} ... b_{k}
												_lowerCAmelCase  						=			[1.0] + [0.0] * order

												# x[n-1] ... x[n-k]
												_lowerCAmelCase  						=			[0.0] * self.order
												# y[n-1] ... y[n-k]
												_lowerCAmelCase  						=			[0.0] * self.order




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												if len(_lowercase				) < self.order:
																		_lowerCAmelCase  						=			[1.0, *a_coeffs]

												if len(_lowercase				) != self.order + 1:
																		_lowerCAmelCase  						=			(
																		    F'Expected a_coeffs to have {self.order + 1} elements '
																		    F'for {self.order}-order filter, got {len(_lowercase				)}'
																		)
																		raise ValueError(_lowercase				)

												if len(_lowercase				) != self.order + 1:
																		_lowerCAmelCase  						=			(
																		    F'Expected b_coeffs to have {self.order + 1} elements '
																		    F'for {self.order}-order filter, got {len(_lowercase				)}'
																		)
																		raise ValueError(_lowercase				)

												_lowerCAmelCase  						=			a_coeffs
												_lowerCAmelCase  						=			b_coeffs




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			0.0

												# Start at index 1 and do index 0 at the end.
												for i in range(1   ,       self.order + 1				):
																		result += (
																		    self.b_coeffs[i] * self.input_history[i - 1]
																		    - self.a_coeffs[i] * self.output_history[i - 1]
																		)

												_lowerCAmelCase  						=			(result + self.b_coeffs[0] * sample) / self.a_coeffs[0]

												_lowerCAmelCase  						=			self.input_history[:-1]
												_lowerCAmelCase  						=			self.output_history[:-1]

												_lowerCAmelCase  						=			sample
												_lowerCAmelCase  						=			result

												return result
