





'''simple docstring'''






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										=  random.Random()







def 				_a	(					_lowerCamelCase						,  _lowerCamelCase=1.0						,  _lowerCamelCase=None						,  _lowerCamelCase=None   )   ->							Optional[int]:



			"""simple docstring"""


			if rng is None:
						__snake_case				:			Tuple       			=    global_rng

			__snake_case				:			Optional[int]       			=    []
			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    _A   (				unittest.TestCase		):

		def   lowercase__    (      self				:      List[str] )				->						Tuple:


					"""simple docstring"""

					__snake_case				:			int       			=    """facebook/musicgen-small"""
					__snake_case				:			Any       			=    tempfile.mkdtemp()

		def   lowercase__    (      self				:      str     ,			**__magic_name__				:      Optional[int] )				->						str:


					"""simple docstring"""

					return TaTokenizer.from_pretrained(self.checkpoint     ,			**__magic_name__ )

		def   lowercase__    (      self				:      Optional[Any]     ,			**__magic_name__				:      str )				->						Optional[int]:


					"""simple docstring"""

					return EncodecFeatureExtractor.from_pretrained(self.checkpoint     ,			**__magic_name__ )

		def   lowercase__    (      self				:      Optional[int] )				->						Dict:


					"""simple docstring"""

					shutil.rmtree(self.tmpdirname )

		def   lowercase__    (      self				:      Union[str, Any] )				->						str:


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    self.get_tokenizer()
					__snake_case				:			int       			=    self.get_feature_extractor()

					__snake_case				:			Tuple       			=    MusicgenProcessor(tokenizer=__magic_name__     ,			feature_extractor=__magic_name__ )

					processor.save_pretrained(self.tmpdirname )
					__snake_case				:			List[str]       			=    MusicgenProcessor.from_pretrained(self.tmpdirname )

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

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

		def   lowercase__    (      self				:      Optional[Any] )				->						List[str]:


					"""simple docstring"""

					__snake_case				:			int       			=    MusicgenProcessor(tokenizer=self.get_tokenizer()     ,			feature_extractor=self.get_feature_extractor() )
					processor.save_pretrained(self.tmpdirname )

					__snake_case				:			int       			=    self.get_tokenizer(bos_token="""(BOS)"""     ,			eos_token="""(EOS)""" )
					__snake_case				:			List[str]       			=    self.get_feature_extractor(do_normalize=__magic_name__     ,			padding_value=1.0 )

					__snake_case				:			int       			=    MusicgenProcessor.from_pretrained(
					    self.tmpdirname     ,			bos_token="""(BOS)"""     ,			eos_token="""(EOS)"""     ,			do_normalize=__magic_name__     ,			padding_value=1.0 )

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

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

		def   lowercase__    (      self				:      List[Any] )				->						Any:


					"""simple docstring"""

					__snake_case				:			Union[str, Any]       			=    self.get_feature_extractor()
					__snake_case				:			List[str]       			=    self.get_tokenizer()

					__snake_case				:			List[str]       			=    MusicgenProcessor(tokenizer=__magic_name__     ,			feature_extractor=__magic_name__ )

					__snake_case				:			Any       			=    floats_list((3, 10_00) )

					__snake_case				:			Optional[Any]       			=    feature_extractor(__magic_name__     ,			return_tensors="""np""" )
					__snake_case				:			int       			=    processor(__magic_name__     ,			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				:      List[str] )				->						str:


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    self.get_feature_extractor()
					__snake_case				:			int       			=    self.get_tokenizer()

					__snake_case				:			Dict       			=    MusicgenProcessor(tokenizer=__magic_name__     ,			feature_extractor=__magic_name__ )

					__snake_case				:			int       			=    """This is a test string"""

					__snake_case				:			Dict       			=    processor(text=__magic_name__ )

					__snake_case				:			int       			=    tokenizer(__magic_name__ )

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

		def   lowercase__    (      self				:      Union[str, Any] )				->						List[str]:


					"""simple docstring"""

					__snake_case				:			Any       			=    self.get_feature_extractor()
					__snake_case				:			List[Any]       			=    self.get_tokenizer()

					__snake_case				:			Union[str, Any]       			=    MusicgenProcessor(tokenizer=__magic_name__     ,			feature_extractor=__magic_name__ )

					__snake_case				:			str       			=    [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

					__snake_case				:			Tuple       			=    processor.batch_decode(sequences=__magic_name__ )
					__snake_case				:			Dict       			=    tokenizer.batch_decode(__magic_name__ )

					self.assertListEqual(__magic_name__     ,			__magic_name__ )

		def   lowercase__    (      self				:      Union[str, Any] )				->						Union[str, Any]:


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    self.get_feature_extractor()
					__snake_case				:			List[str]       			=    self.get_tokenizer()

					__snake_case				:			Tuple       			=    MusicgenProcessor(tokenizer=__magic_name__     ,			feature_extractor=__magic_name__ )

					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				:      Dict )				->						Tuple:


					"""simple docstring"""

					__snake_case				:			List[Any]       			=    self.get_feature_extractor(padding_side="""left""" )
					__snake_case				:			List[str]       			=    self.get_tokenizer()

					__snake_case				:			Union[str, Any]       			=    MusicgenProcessor(tokenizer=__magic_name__     ,			feature_extractor=__magic_name__ )

					__snake_case				:			Union[str, Any]       			=    [floats_list((1, x) )[0] for x in range(5     ,			20     ,			5 )]
					__snake_case				:			Union[str, Any]       			=    processor(__magic_name__ ).padding_mask

					__snake_case				:			Dict       			=    np.asarray(floats_list((3, 20) ) )[:, None, :]
					__snake_case				:			Any       			=    processor.batch_decode(__magic_name__     ,			padding_mask=__magic_name__ )

					self.assertIsInstance(__magic_name__     ,			__magic_name__ )

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

					self.assertTrue(decoded_audios[0].shape == (1, 10) )
					self.assertTrue(decoded_audios[1].shape == (1, 15) )
					self.assertTrue(decoded_audios[2].shape == (1, 20) )









'''simple docstring'''






import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase




@require_tokenizers
class    _A   (				unittest.TestCase		):
		lowercase__:      Tuple							    =      EsmTokenizer

		def   lowercase__    (      self				:      Tuple )				->						Optional[int]:


					"""simple docstring"""

					super().setUp()
					__snake_case				:			str       			=    tempfile.mkdtemp()
					# fmt: off
					__snake_case				:			List[str]       			=    ["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
					# fmt: on
					__snake_case				:			Tuple       			=    os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES["""vocab_file"""] )
					with open(self.vocab_file     ,			"""w"""     ,			encoding="""utf-8""" ) as vocab_writer:
								vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens] ) )

		def   lowercase__    (      self				:      List[Any]     ,			**__magic_name__				:      Tuple )				->						List[PreTrainedTokenizerBase]:


					"""simple docstring"""

					return [self.get_tokenizer(**__magic_name__ )]

		def   lowercase__    (      self				:      int     ,			**__magic_name__				:      Dict )				->						PreTrainedTokenizer:


					"""simple docstring"""

					return self.tokenizer_class.from_pretrained(self.tmpdirname     ,			**__magic_name__ )

		def   lowercase__    (      self				:      Union[str, Any] )				->						Dict:


					"""simple docstring"""

					__snake_case				:			Dict       			=    self.tokenizer_class(self.vocab_file )

					__snake_case				:			Optional[int]       			=    tokenizer.tokenize("""LAGVS""" )
					self.assertListEqual(__magic_name__     ,			["""L""", """A""", """G""", """V""", """S"""] )
					self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__ )     ,			[4, 5, 6, 7, 8] )

		def   lowercase__    (      self				:      List[str] )				->						Optional[Any]:


					"""simple docstring"""

					__snake_case				:			str       			=    self.tokenizer_class(self.vocab_file )

					__snake_case				:			Optional[int]       			=    """LAGVS"""
					self.assertListEqual(tokenizer.encode(__magic_name__ )     ,			[0, 4, 5, 6, 7, 8, 2] )

		def   lowercase__    (      self				:      str )				->						Optional[Any]:


					"""simple docstring"""

					__snake_case				:			Dict       			=    self.tokenizer_class(self.vocab_file )

					__snake_case				:			Tuple       			=    ["""LAGVS""", """WCB"""]
					__snake_case				:			Dict       			=    tokenizer(__magic_name__     ,			padding=__magic_name__ )["""input_ids"""]

					self.assertListEqual(__magic_name__     ,			[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]] )

		def   lowercase__    (      self				:      str )				->						List[Any]:


					"""simple docstring"""

					__snake_case				:			int       			=    self.tokenizer_class(self.vocab_file )

					__snake_case				:			List[Any]       			=    ["""LAGVS""", """WCB"""]
					__snake_case				:			Any       			=    tokenizer(__magic_name__     ,			padding=__magic_name__ )["""input_ids"""]

					self.assertListEqual(__magic_name__     ,			[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]] )

		def   lowercase__    (      self				:      List[str] )				->						Tuple:


					"""simple docstring"""

					__snake_case				:			Any       			=    self.get_tokenizers(fast=__magic_name__ )
					for tokenizer in tokenizers:
								with self.subTest(f'''{tokenizer.__class__.__name__}''' ):
											__snake_case				:			int       			=    """<unk>"""
											__snake_case				:			Optional[Any]       			=    """<mask>"""

											__snake_case				:			Tuple       			=    tokenizer.tokenize(__magic_name__ )
											__snake_case				:			List[Any]       			=    tokenizer.tokenize(__magic_name__ )

											self.assertEqual(len(__magic_name__ )     ,			1 )
											self.assertEqual(len(__magic_name__ )     ,			1 )
											self.assertEqual(token_a[0]     ,			__magic_name__ )
											self.assertEqual(token_a[0]     ,			__magic_name__ )


