


import random
import shutil
import tempfile
import unittest

import numpy as np

from transformers import TaTokenizer, TaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torch
from transformers.utils.import_utils import is_speech_available, is_torch_available


if is_torch_available():
						pass

if is_speech_available():
						from transformers import EncodecFeatureExtractor, MusicgenProcessor


_UpperCAmelCase      :	Dict  =random.Random()



def       lowerCAmelCase			(		lowerCAmelCase_			, lowerCAmelCase_=1.0			, lowerCAmelCase_=None			, lowerCAmelCase_=None			)->			Optional[Any]:
				if rng is None:
								lowerCAmelCase_			:   Optional[Any]     					=					global_rng

				lowerCAmelCase_			:   List[Any]     					=					[]
				for batch_idx in range(shape[0]			):
								values.append([]			)
								for _ in range(shape[1]			):
												values[-1].append(rng.random() * scale			)

				return values







@require_torch
@require_sentencepiece
class 					snake_case__(				unittest.TestCase				):







						'''simple docstring'''




						def     lowercase_			(					self				)       ->     Optional[Any]:
										lowerCAmelCase_			:   int     					=					'''facebook/musicgen-small'''
										lowerCAmelCase_			:   List[Any]     					=					tempfile.mkdtemp()




						def     lowercase_			(					self ,    **__lowercase				)       ->     Tuple:
										return TaTokenizer.from_pretrained(self.checkpoint ,    **__lowercase				)




						def     lowercase_			(					self ,    **__lowercase				)       ->     List[str]:
										return EncodecFeatureExtractor.from_pretrained(self.checkpoint ,    **__lowercase				)




						def     lowercase_			(					self				)       ->     Optional[int]:
										shutil.rmtree(self.tmpdirname				)




						def     lowercase_			(					self				)       ->     List[str]:
										lowerCAmelCase_			:   Union[str, Any]     					=					self.get_tokenizer()
										lowerCAmelCase_			:   List[str]     					=					self.get_feature_extractor()

										lowerCAmelCase_			:   Optional[int]     					=					MusicgenProcessor(tokenizer=__lowercase ,    feature_extractor=__lowercase				)

										processor.save_pretrained(self.tmpdirname				)
										lowerCAmelCase_			:   Union[str, Any]     					=					MusicgenProcessor.from_pretrained(self.tmpdirname				)

										self.assertEqual(processor.tokenizer.get_vocab() ,    tokenizer.get_vocab()				)
										self.assertIsInstance(processor.tokenizer ,    __lowercase				)

										self.assertEqual(processor.feature_extractor.to_json_string() ,    feature_extractor.to_json_string()				)
										self.assertIsInstance(processor.feature_extractor ,    __lowercase				)




						def     lowercase_			(					self				)       ->     Tuple:
										lowerCAmelCase_			:   int     					=					MusicgenProcessor(tokenizer=self.get_tokenizer() ,    feature_extractor=self.get_feature_extractor()				)
										processor.save_pretrained(self.tmpdirname				)

										lowerCAmelCase_			:   List[Any]     					=					self.get_tokenizer(bos_token='''(BOS)''' ,    eos_token='''(EOS)'''				)
										lowerCAmelCase_			:   Dict     					=					self.get_feature_extractor(do_normalize=__lowercase ,    padding_value=1.0				)

										lowerCAmelCase_			:   Union[str, Any]     					=					MusicgenProcessor.from_pretrained(
										    self.tmpdirname ,    bos_token='''(BOS)''' ,    eos_token='''(EOS)''' ,    do_normalize=__lowercase ,    padding_value=1.0				)

										self.assertEqual(processor.tokenizer.get_vocab() ,    tokenizer_add_kwargs.get_vocab()				)
										self.assertIsInstance(processor.tokenizer ,    __lowercase				)

										self.assertEqual(processor.feature_extractor.to_json_string() ,    feature_extractor_add_kwargs.to_json_string()				)
										self.assertIsInstance(processor.feature_extractor ,    __lowercase				)




						def     lowercase_			(					self				)       ->     str:
										lowerCAmelCase_			:   List[Any]     					=					self.get_feature_extractor()
										lowerCAmelCase_			:   int     					=					self.get_tokenizer()

										lowerCAmelCase_			:   Any     					=					MusicgenProcessor(tokenizer=__lowercase ,    feature_extractor=__lowercase				)

										lowerCAmelCase_			:   Any     					=					floats_list((3, 1_0_0_0)				)

										lowerCAmelCase_			:   List[str]     					=					feature_extractor(__lowercase ,    return_tensors='''np'''				)
										lowerCAmelCase_			:   Optional[int]     					=					processor(__lowercase ,    return_tensors='''np'''				)

										for key in input_feat_extract.keys():
														self.assertAlmostEqual(input_feat_extract[key].sum() ,    input_processor[key].sum() ,    delta=1e-2				)




						def     lowercase_			(					self				)       ->     int:
										lowerCAmelCase_			:   Optional[Any]     					=					self.get_feature_extractor()
										lowerCAmelCase_			:   List[str]     					=					self.get_tokenizer()

										lowerCAmelCase_			:   Tuple     					=					MusicgenProcessor(tokenizer=__lowercase ,    feature_extractor=__lowercase				)

										lowerCAmelCase_			:   Any     					=					'''This is a test string'''

										lowerCAmelCase_			:   str     					=					processor(text=__lowercase				)

										lowerCAmelCase_			:   str     					=					tokenizer(__lowercase				)

										for key in encoded_tok.keys():
														self.assertListEqual(encoded_tok[key] ,    encoded_processor[key]				)




						def     lowercase_			(					self				)       ->     str:
										lowerCAmelCase_			:   int     					=					self.get_feature_extractor()
										lowerCAmelCase_			:   Optional[Any]     					=					self.get_tokenizer()

										lowerCAmelCase_			:   Optional[int]     					=					MusicgenProcessor(tokenizer=__lowercase ,    feature_extractor=__lowercase				)

										lowerCAmelCase_			:   Tuple     					=					[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

										lowerCAmelCase_			:   Optional[int]     					=					processor.batch_decode(sequences=__lowercase				)
										lowerCAmelCase_			:   Tuple     					=					tokenizer.batch_decode(__lowercase				)

										self.assertListEqual(__lowercase ,    __lowercase				)




						def     lowercase_			(					self				)       ->     Optional[Any]:
										lowerCAmelCase_			:   Any     					=					self.get_feature_extractor()
										lowerCAmelCase_			:   Optional[Any]     					=					self.get_tokenizer()

										lowerCAmelCase_			:   List[Any]     					=					MusicgenProcessor(tokenizer=__lowercase ,    feature_extractor=__lowercase				)

										self.assertListEqual(
										    processor.model_input_names ,    feature_extractor.model_input_names ,    msg='''`processor` and `feature_extractor` model input names do not match''' ,    )




						def     lowercase_			(					self				)       ->     Tuple:
										lowerCAmelCase_			:   Union[str, Any]     					=					self.get_feature_extractor(padding_side='''left'''				)
										lowerCAmelCase_			:   Tuple     					=					self.get_tokenizer()

										lowerCAmelCase_			:   List[Any]     					=					MusicgenProcessor(tokenizer=__lowercase ,    feature_extractor=__lowercase				)

										lowerCAmelCase_			:   Optional[Any]     					=					[floats_list((1, x)				)[0] for x in range(5 ,    2_0 ,    5				)]
										lowerCAmelCase_			:   Tuple     					=					processor(__lowercase				).padding_mask

										lowerCAmelCase_			:   Any     					=					np.asarray(floats_list((3, 2_0)				)				)[:, None, :]
										lowerCAmelCase_			:   List[str]     					=					processor.batch_decode(__lowercase ,    padding_mask=__lowercase				)

										self.assertIsInstance(__lowercase ,    __lowercase				)

										for audio in decoded_audios:
														self.assertIsInstance(__lowercase ,    np.ndarray				)

										self.assertTrue(decoded_audios[0].shape == (1, 1_0)				)
										self.assertTrue(decoded_audios[1].shape == (1, 1_5)				)
										self.assertTrue(decoded_audios[2].shape == (1, 2_0)				)



import numpy as np

_UpperCAmelCase      :	int  =[
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]







class 					snake_case__:







						'''simple docstring'''




						def __init__(					self				)       ->     None:
										lowerCAmelCase_			:   List[Any]     					=					np.array(__lowercase				)




						def     lowercase_			(					self ,    __lowercase				)       ->     np.ndarray:
										lowerCAmelCase_					,	lowerCAmelCase_			:   List[str]     					=					np.where(letter == self.SQUARE				)
										lowerCAmelCase_			:   Union[str, Any]     					=					np.concatenate([indexa + 1, indexa + 1]				)
										return indexes




						def     lowercase_			(					self ,    __lowercase ,    __lowercase				)       ->     str:
										return self.SQUARE[indexa - 1, indexa - 1]




						def     lowercase_			(					self ,    __lowercase				)       ->     str:
										lowerCAmelCase_			:   Dict     					=					message.lower()
										lowerCAmelCase_			:   Any     					=					message.replace('''j''' ,    '''i'''				)

										lowerCAmelCase_			:   Optional[Any]     					=					''''''
										for letter_index in range(len(__lowercase				)				):
														if message[letter_index] != " ":
																		lowerCAmelCase_			:   Optional[Any]     					=					self.letter_to_numbers(message[letter_index]				)
																		lowerCAmelCase_			:   List[Any]     					=					encoded_message + str(numbers[0]				) + str(numbers[1]				)
														elif message[letter_index] == " ":
																		lowerCAmelCase_			:   Optional[Any]     					=					encoded_message + ''' '''

										return encoded_message




						def     lowercase_			(					self ,    __lowercase				)       ->     str:
										lowerCAmelCase_			:   List[str]     					=					message.replace(''' ''' ,    '''  '''				)
										lowerCAmelCase_			:   Union[str, Any]     					=					''''''
										for numbers_index in range(int(len(__lowercase				) / 2				)				):
														if message[numbers_index * 2] != " ":
																		lowerCAmelCase_			:   Any     					=					message[numbers_index * 2]
																		lowerCAmelCase_			:   Dict     					=					message[numbers_index * 2 + 1]

																		lowerCAmelCase_			:   Dict     					=					self.numbers_to_letter(int(__lowercase				) ,    int(__lowercase				)				)
																		lowerCAmelCase_			:   Tuple     					=					decoded_message + letter
														elif message[numbers_index * 2] == " ":
																		lowerCAmelCase_			:   List[str]     					=					decoded_message + ''' '''

										return decoded_message