


"""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


lowercase  		=			random.Random()



def 			A__		(					_UpperCAmelCase    :      str				,    _UpperCAmelCase    :      Optional[Any]=1.0				,    _UpperCAmelCase    :      Tuple=None				,    _UpperCAmelCase    :      int=None	)							->	Optional[int]:

	'''simple docstring'''


	if rng is None:
		snake_case__  :						Any		=      global_rng

	snake_case__  :						Optional[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 			SCREAMING_SNAKE_CASE_  (   unittest.TestCase):




							'''simple docstring'''





							def        UpperCAmelCase (						self)   ->	List[str]:







								'''simple docstring'''




								snake_case__  :						Tuple		=      "facebook/musicgen-small"
								snake_case__  :						int		=      tempfile.mkdtemp()




							def        UpperCAmelCase (						self	,					**lowerCamelCase__)   ->	List[str]:







								'''simple docstring'''




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




							def        UpperCAmelCase (						self	,					**lowerCamelCase__)   ->	List[Any]:







								'''simple docstring'''




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




							def        UpperCAmelCase (						self)   ->	str:







								'''simple docstring'''




								shutil.rmtree(self.tmpdirname)




							def        UpperCAmelCase (						self)   ->	int:







								'''simple docstring'''




								snake_case__  :						Optional[Any]		=      self.get_tokenizer()
								snake_case__  :						Union[str, Any]		=      self.get_feature_extractor()

								snake_case__  :						Dict		=      MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE	,					feature_extractor=__SCREAMING_SNAKE_CASE)

								processor.save_pretrained(self.tmpdirname)
								snake_case__  :						Dict		=      MusicgenProcessor.from_pretrained(self.tmpdirname)

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

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




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







								'''simple docstring'''




								snake_case__  :						Dict		=      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__  :						Dict		=      self.get_feature_extractor(do_normalize=__SCREAMING_SNAKE_CASE	,					padding_value=1.0)

								snake_case__  :						Optional[Any]		=      MusicgenProcessor.from_pretrained(
								    self.tmpdirname	,					bos_token="(BOS)"	,					eos_token="(EOS)"	,					do_normalize=__SCREAMING_SNAKE_CASE	,					padding_value=1.0)

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

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




							def        UpperCAmelCase (						self)   ->	Any:







								'''simple docstring'''




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

								snake_case__  :						Union[str, Any]		=      MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE	,					feature_extractor=__SCREAMING_SNAKE_CASE)

								snake_case__  :						Any		=      floats_list((3, 1_000))

								snake_case__  :						str		=      feature_extractor(__SCREAMING_SNAKE_CASE	,					return_tensors="np")
								snake_case__  :						Dict		=      processor(__SCREAMING_SNAKE_CASE	,					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        UpperCAmelCase (						self)   ->	Optional[Any]:







								'''simple docstring'''




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

								snake_case__  :						Tuple		=      MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE	,					feature_extractor=__SCREAMING_SNAKE_CASE)

								snake_case__  :						Optional[int]		=      "This is a test string"

								snake_case__  :						Any		=      processor(text=__SCREAMING_SNAKE_CASE)

								snake_case__  :						str		=      tokenizer(__SCREAMING_SNAKE_CASE)

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




							def        UpperCAmelCase (						self)   ->	Optional[int]:







								'''simple docstring'''




								snake_case__  :						Dict		=      self.get_feature_extractor()
								snake_case__  :						Tuple		=      self.get_tokenizer()

								snake_case__  :						Any		=      MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE	,					feature_extractor=__SCREAMING_SNAKE_CASE)

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

								snake_case__  :						str		=      processor.batch_decode(sequences=__SCREAMING_SNAKE_CASE)
								snake_case__  :						List[Any]		=      tokenizer.batch_decode(__SCREAMING_SNAKE_CASE)

								self.assertListEqual(__SCREAMING_SNAKE_CASE	,					__SCREAMING_SNAKE_CASE)




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







								'''simple docstring'''




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

								snake_case__  :						Union[str, Any]		=      MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE	,					feature_extractor=__SCREAMING_SNAKE_CASE)

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







							def        UpperCAmelCase (						self)   ->	List[str]:







								'''simple docstring'''




								snake_case__  :						Optional[int]		=      self.get_feature_extractor(padding_side="left")
								snake_case__  :						Optional[Any]		=      self.get_tokenizer()

								snake_case__  :						List[str]		=      MusicgenProcessor(tokenizer=__SCREAMING_SNAKE_CASE	,					feature_extractor=__SCREAMING_SNAKE_CASE)

								snake_case__  :						int		=      [floats_list((1, x))[0] for x in range(5	,					20	,					5)]
								snake_case__  :						Optional[int]		=      processor(__SCREAMING_SNAKE_CASE).padding_mask

								snake_case__  :						List[str]		=      np.asarray(floats_list((3, 20)))[:, None, :]
								snake_case__  :						Tuple		=      processor.batch_decode(__SCREAMING_SNAKE_CASE	,					padding_mask=__SCREAMING_SNAKE_CASE)

								self.assertIsInstance(__SCREAMING_SNAKE_CASE	,					__SCREAMING_SNAKE_CASE)

								for audio in decoded_audios:
									self.assertIsInstance(__SCREAMING_SNAKE_CASE	,					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))










from __future__ import annotations

from typing import Generic, TypeVar

__snake_case		:str 						=	TypeVar('''T''')

class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      __UpperCAmelCase       ):
       pass


class        _A			(      Generic[T]       ):



       def __init__(						self				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	int = 10):


           '''simple docstring'''

           __a					=							[]
           __a					=							limit



       def __bool__(						self				:	List[Any]):


           '''simple docstring'''

           return bool(self.stack)



       def __str__(						self				:	Any):


           '''simple docstring'''

           return str(self.stack)



       def 						_lowerCamelCase     (						self				:	List[Any]	,						__SCREAMING_SNAKE_CASE				:	T):


           '''simple docstring'''

           if len(self.stack) >= self.limit:
               raise StackOverflowError
           self.stack.append(__SCREAMING_SNAKE_CASE)



       def 						_lowerCamelCase     (						self				:	str):


           '''simple docstring'''

           if not self.stack:
               raise StackUnderflowError
           return self.stack.pop()



       def 						_lowerCamelCase     (						self				:	Optional[Any]):


           '''simple docstring'''

           if not self.stack:
               raise StackUnderflowError
           return self.stack[-1]



       def 						_lowerCamelCase     (						self				:	Union[str, Any]):


           '''simple docstring'''

           return not bool(self.stack)



       def 						_lowerCamelCase     (						self				:	Tuple):


           '''simple docstring'''

           return self.size() == self.limit



       def 						_lowerCamelCase     (						self				:	Union[str, Any]):


           '''simple docstring'''

           return len(self.stack)





       def __contains__(						self				:	int	,						__SCREAMING_SNAKE_CASE				:	T):


           '''simple docstring'''

           return item in self.stack





def 	__snake_case      (     ):
    __a					=							Stack(10							)
    assert bool(_UpperCAmelCase							) is False
    assert stack.is_empty() is True
    assert stack.is_full() is False
    assert str(_UpperCAmelCase							) == "[]"

    try:
        __a					=							stack.pop()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    try:
        __a					=							stack.peek()
        raise AssertionError  # This should not happen
    except StackUnderflowError:
        assert True  # This should happen

    for i in range(10							):
        assert stack.size() == i
        stack.push(_UpperCAmelCase							)

    assert bool(_UpperCAmelCase							)
    assert not stack.is_empty()
    assert stack.is_full()
    assert str(_UpperCAmelCase							) == str(list(range(10							)							)							)
    assert stack.pop() == 9
    assert stack.peek() == 8

    stack.push(100							)
    assert str(_UpperCAmelCase							) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]							)

    try:
        stack.push(200							)
        raise AssertionError  # This should not happen
    except StackOverflowError:
        assert True  # This should happen

    assert not stack.is_empty()
    assert stack.size() == 10

    assert 5 in stack
    assert 55 not in stack


if __name__ == "__main__":
 test_stack()





