
'''simple docstring'''







import numpy as np  # noqa: E402

from ...configuration_utils import ConfigMixin, register_to_config
from ...schedulers.scheduling_utils import SchedulerMixin


try:
					import librosa  # noqa: E402

					__SCREAMING_SNAKE_CASE		:  List[str]        =      True
					__SCREAMING_SNAKE_CASE		:  Tuple        =      ''
except Exception as e:
					__SCREAMING_SNAKE_CASE		:  List[Any]        =      False
					__SCREAMING_SNAKE_CASE		:  Any        =      (
					    f'''Cannot import librosa because {e}. Make sure to correctly install librosa to be able to install it.'''
					)


from PIL import Image  # noqa: E402
class  SCREAMING_SNAKE_CASE__       (  __UpperCamelCase			,					__UpperCamelCase   ):
	lowercase__	    =							"mel_config.json"
	@register_to_config
	def __init__(				self  ,    __UpperCamelCase = 256  ,    __UpperCamelCase = 256  ,    __UpperCamelCase = 2_2050  ,    __UpperCamelCase = 2048  ,    __UpperCamelCase = 512  ,    __UpperCamelCase = 80  ,    __UpperCamelCase = 32  ,    ):



					'''simple docstring'''






					__a       :     Dict								=	hop_length
					__a       :     Any								=	sample_rate
					__a       :     Dict								=	n_fft
					__a       :     Optional[int]								=	top_db
					__a       :     List[str]								=	n_iter
					self.set_resolution(__UpperCamelCase  ,    __UpperCamelCase			)
					__a       :     Optional[Any]								=	None

					if not _librosa_can_be_imported:
									raise ValueError(_import_error			)
	def __lowerCamelCase    (				self  ,    __UpperCamelCase  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     int								=	x_res
					__a       :     Optional[int]								=	y_res
					__a       :     Optional[int]								=	self.y_res
					__a       :     Optional[Any]								=	self.x_res * self.hop_length - 1
	def __lowerCamelCase    (				self  ,    __UpperCamelCase = None  ,    __UpperCamelCase = None			):



					'''simple docstring'''






					if audio_file is not None:
									__a							,	__a       :     Dict								=	librosa.load(__UpperCamelCase  ,    mono=__UpperCamelCase  ,    sr=self.sr			)
					else:
									__a       :     Optional[Any]								=	raw_audio

					# Pad with silence if necessary.
					if len(self.audio			) < self.x_res * self.hop_length:
									__a       :     Optional[int]								=	np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio			),)			)]			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					return len(self.audio			) // self.slice_size
	def __lowerCamelCase    (				self  ,    __UpperCamelCase = 0			):



					'''simple docstring'''






					return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					return self.sr
	def __lowerCamelCase    (				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     List[Any]								=	librosa.feature.melspectrogram(
					    y=self.get_audio_slice(__UpperCamelCase			)  ,    sr=self.sr  ,    n_fft=self.n_fft  ,    hop_length=self.hop_length  ,    n_mels=self.n_mels			)
					__a       :     List[Any]								=	librosa.power_to_db(__UpperCamelCase  ,    ref=np.max  ,    top_db=self.top_db			)
					__a       :     List[str]								=	(((log_S + self.top_db) * 255 / self.top_db).clip(0  ,    255			) + 0.5).astype(np.uinta			)
					__a       :     List[str]								=	Image.fromarray(__UpperCamelCase			)
					return image

	def __lowerCamelCase    (				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     List[Any]								=	np.frombuffer(image.tobytes()  ,    dtype="""uint8"""			).reshape((image.height, image.width)			)
					__a       :     List[str]								=	bytedata.astype("""float"""			) * self.top_db / 255 - self.top_db
					__a       :     Optional[int]								=	librosa.db_to_power(__UpperCamelCase			)
					__a       :     Any								=	librosa.feature.inverse.mel_to_audio(
					    __UpperCamelCase  ,    sr=self.sr  ,    n_fft=self.n_fft  ,    hop_length=self.hop_length  ,    n_iter=self.n_iter			)
					return audio

'''simple docstring'''







import unittest

from cer import CER


__SCREAMING_SNAKE_CASE		:  List[str]        =      CER()
class  SCREAMING_SNAKE_CASE__       (  unittest.TestCase   ):
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Optional[Any]								=	["""White House"""]
					__a       :     Tuple								=	["""white house"""]
					# S = 2, D = 0, I = 0, N = 11, CER = 2 / 11
					__a       :     Any								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_8_1_8_1_8_1_8_1_8			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Optional[int]								=	["""were wolf"""]
					__a       :     Tuple								=	["""werewolf"""]
					# S = 0, D = 0, I = 1, N = 9, CER = 1 / 9
					__a       :     Any								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_1_1_1_1_1_1			) < 1E-6			)

					__a       :     str								=	["""werewolf"""]
					__a       :     List[Any]								=	["""weae     wolf"""]
					# S = 1, D = 1, I = 0, N = 8, CER = 0.25
					__a       :     Tuple								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.2_5			) < 1E-6			)

					# consecutive whitespaces case 1
					__a       :     int								=	["""were wolf"""]
					__a       :     Dict								=	["""were               wolf"""]
					# S = 0, D = 0, I = 0, N = 9, CER = 0
					__a       :     str								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.0			) < 1E-6			)

					# consecutive whitespaces case 2
					__a       :     List[str]								=	["""were   wolf"""]
					__a       :     Optional[int]								=	["""were               wolf"""]
					# S = 0, D = 0, I = 0, N = 9, CER = 0
					__a       :     Optional[Any]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.0			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Dict								=	["""werewolf"""]
					__a       :     str								=	["""weaewolf"""]
					# S = 1, D = 0, I = 0, N = 8, CER = 0.125
					__a       :     Optional[int]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_2_5			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""werewolf"""]
					__a       :     Tuple								=	["""wereawolf"""]
					# S = 0, D = 1, I = 0, N = 8, CER = 0.125
					__a       :     Optional[Any]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_2_5			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""werewolf"""]
					__a       :     Optional[Any]								=	["""wereolf"""]
					# S = 0, D = 0, I = 1, N = 8, CER = 0.125
					__a       :     int								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.1_2_5			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Dict								=	["""werewolf"""]
					__a       :     Tuple								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertEqual(__UpperCamelCase  ,    0.0			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""werewolf""", """I am your father"""]
					__a       :     int								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertEqual(__UpperCamelCase  ,    0.0			)

					__a       :     Dict								=	["""werewolf""", """I am your father""", """doge"""]
					__a       :     Optional[Any]								=	["""werxwolf""", """I       am your father""", """doge"""]
					# S = 1, D = 0, I = 0, N = 28, CER = 1 / 28
					__a       :     Union[str, Any]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.0_3_5_7_1_4_2_8			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[str]								=	["""My hovercraft""", """is full of eels"""]
					__a       :     Union[str, Any]								=	["""My hovercraft is full""", """ of eels"""]
					# S = 0, D = 0, I = 2, N = 28, CER = 2 / 28
					# whitespace at the front of " of eels" will be strip during preporcessing
					# so need to insert 2 whitespaces
					__a       :     str								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase  ,    concatenate_texts=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.0_7_1_4_2_8			) < 1E-6			)
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     int								=	["""我能吞下玻璃而不伤身体"""]
					__a       :     Optional[Any]								=	[""" 能吞虾玻璃而 不霜身体啦"""]
					# S = 3, D = 2, I = 0, N = 11, CER = 5 / 11
					__a       :     List[Any]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5			) < 1E-6			)

					__a       :     Union[str, Any]								=	["""我能吞下玻璃""", """而不伤身体"""]
					__a       :     Optional[Any]								=	["""我    能 吞 下 玻 璃""", """而不伤身体"""]
					# S = 0, D = 5, I = 0, N = 11, CER = 5 / 11
					__a       :     List[str]								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertTrue(abs(char_error_rate - 0.4_5_4_5_4_5_4_5_4_5_4_5			) < 1E-6			)

					__a       :     Union[str, Any]								=	["""我能吞下玻璃而不伤身体"""]
					__a       :     Dict								=	cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)
					self.assertFalse(__UpperCamelCase  ,    0.0			)

	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     List[Any]								=	[""""""]
					__a       :     Dict								=	["""Hypothesis"""]
					with self.assertRaises(__UpperCamelCase			):
									cer.compute(predictions=__UpperCamelCase  ,    references=__UpperCamelCase			)


if __name__ == "__main__":
					unittest.main()