



'''simple docstring'''



from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

_lowercase       :						Tuple						=TypeVar("T")
_lowercase       :						str						=TypeVar("U")






class 			_SCREAMING_SNAKE_CASE				(Generic[T, U]      ):



			def __init__(     self		:						Union[str, Any]    ,			__UpperCamelCase		:						T | None    ,			__UpperCamelCase		:						U | None			)      ->      Dict:
							"""simple docstring"""





							snake_case__      :   Optional[int]      =    key
							snake_case__      :   Any      =    val
							snake_case__      :   int      =    0
							snake_case__      :   DoubleLinkedListNode[T, U] | None      =    None
							snake_case__      :   DoubleLinkedListNode[T, U] | None      =    None







			def __repr__(     self		:						Union[str, Any]			)      ->      str:
							"""simple docstring"""





							return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
							    self.key    ,			self.val    ,			self.freq    ,			self.next is not None    ,			self.prev is not None			)






class 			_SCREAMING_SNAKE_CASE				(Generic[T, U]      ):



			def __init__(     self		:						List[str]			)      ->      None:
							"""simple docstring"""





							snake_case__      :   DoubleLinkedListNode[T, U]      =    DoubleLinkedListNode(__UpperCamelCase    ,			__UpperCamelCase			)
							snake_case__      :   DoubleLinkedListNode[T, U]      =    DoubleLinkedListNode(__UpperCamelCase    ,			__UpperCamelCase			)
							snake_case__  ,      snake_case__      :   Tuple      =    self.rear, self.head



			def __repr__(     self		:						str			)      ->      str:
							"""simple docstring"""





							snake_case__      :   Union[str, Any]      =    ['''DoubleLinkedList''']
							snake_case__      :   Union[str, Any]      =    self.head
							while node.next is not None:
											rep.append(str(__UpperCamelCase			)			)
											snake_case__      :   List[Any]      =    node.next
							rep.append(str(self.rear			)			)
							return ",\n    ".join(__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						Tuple    ,			__UpperCamelCase		:						DoubleLinkedListNode[T, U]			)      ->      None:
							"""simple docstring"""





							snake_case__      :   Tuple      =    self.rear.prev

							# All nodes other than self.head are guaranteed to have non-None previous
							assert previous is not None

							snake_case__      :   Dict      =    node
							snake_case__      :   str      =    previous
							snake_case__      :   List[Any]      =    node
							snake_case__      :   Optional[int]      =    self.rear
							node.freq += 1
							self._position_node(__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						Optional[int]    ,			__UpperCamelCase		:						DoubleLinkedListNode[T, U]			)      ->      None:
							"""simple docstring"""





							while node.prev is not None and node.prev.freq > node.freq:
											# swap node with previous node
											snake_case__      :   str      =    node.prev

											snake_case__      :   Dict      =    previous_node.prev
											snake_case__      :   Union[str, Any]      =    node.prev
											snake_case__      :   Tuple      =    previous_node
											snake_case__      :   List[str]      =    node







			def 				lowerCAmelCase (     self		:						Any    ,			__UpperCamelCase		:						DoubleLinkedListNode[T, U]			)      ->      DoubleLinkedListNode[T, U] | None:
							"""simple docstring"""





							if node.prev is None or node.next is None:
											return None

							snake_case__      :   Any      =    node.next
							snake_case__      :   Any      =    node.prev
							snake_case__      :   Optional[int]      =    None
							snake_case__      :   Any      =    None
							return node






class 			_SCREAMING_SNAKE_CASE				(Generic[T, U]      ):
			A__								=  {}



			def __init__(     self		:						List[Any]    ,			__UpperCamelCase		:						int			)      ->      Optional[int]:
							"""simple docstring"""





							snake_case__      :   DoubleLinkedList[T, U]      =    DoubleLinkedList()
							snake_case__      :   Tuple      =    capacity
							snake_case__      :   str      =    0
							snake_case__      :   List[str]      =    0
							snake_case__      :   Optional[Any]      =    0
							snake_case__      :   dict[T, DoubleLinkedListNode[T, U]]      =    {}



			def __repr__(     self		:						Union[str, Any]			)      ->      str:
							"""simple docstring"""





							return (
							    F'''CacheInfo(hits={self.hits}, misses={self.miss}, '''
							    F'''capacity={self.capacity}, current_size={self.num_keys})'''
							)



			def __contains__(     self		:						Tuple    ,			__UpperCamelCase		:						T			)      ->      bool:
							"""simple docstring"""





							return key in self.cache



			def 				lowerCAmelCase (     self		:						Tuple    ,			__UpperCamelCase		:						T			)      ->      U | None:
							"""simple docstring"""





							if key in self.cache:
											self.hits += 1
											snake_case__      :   DoubleLinkedListNode[T, U]      =    self.cache[key]
											snake_case__      :   Optional[int]      =    self.list.remove(self.cache[key]			)
											assert node == value_node

											# node is guaranteed not None because it is in self.cache
											assert node is not None
											self.list.add(__UpperCamelCase			)
											return node.val
							self.miss += 1
							return None



			def 				lowerCAmelCase (     self		:						List[Any]    ,			__UpperCamelCase		:						T    ,			__UpperCamelCase		:						U			)      ->      None:
							"""simple docstring"""





							if key not in self.cache:
											if self.num_keys >= self.capacity:
															# delete first node when over capacity
															snake_case__      :   Any      =    self.list.head.next

															# guaranteed to have a non-None first node when num_keys > 0
															# explain to type checker via assertions
															assert first_node is not None
															assert first_node.key is not None
															assert self.list.remove(__UpperCamelCase			) is not None
															# first_node guaranteed to be in list

															del self.cache[first_node.key]
															self.num_keys -= 1
											snake_case__      :   List[Any]      =    DoubleLinkedListNode(__UpperCamelCase    ,			__UpperCamelCase			)
											self.list.add(self.cache[key]			)
											self.num_keys += 1

							else:
											snake_case__      :   Any      =    self.list.remove(self.cache[key]			)
											assert node is not None  # node guaranteed to be in list
											snake_case__      :   List[str]      =    value
											self.list.add(__UpperCamelCase			)







			@classmethod
			def 				lowerCAmelCase (     cls		:						type[LFUCache[T, U]]    ,			__UpperCamelCase		:						int = 128			)      ->      Callable[[Callable[[T], U]], Callable[..., U]]:
							"""simple docstring"""





							def cache_decorator_inner(__UpperCamelCase		:						Callable[[T], U]			) -> Callable[..., U]:
											def cache_decorator_wrapper(*__UpperCamelCase		:						T			) -> U:
															if func not in cls.decorator_function_to_instance_map:
																			snake_case__      :   int      =    LFUCache(__UpperCamelCase			)

															snake_case__      :   str      =    cls.decorator_function_to_instance_map[func].get(args[0]			)
															if result is None:
																			snake_case__      :   List[str]      =    func(*__UpperCamelCase			)
																			cls.decorator_function_to_instance_map[func].put(args[0]    ,			__UpperCamelCase			)
															return result

											def cache_info() -> LFUCache[T, U]:
															return cls.decorator_function_to_instance_map[func]

											setattr(__UpperCamelCase    ,			'''cache_info'''    ,			__UpperCamelCase			)  # noqa: B010

											return cache_decorator_wrapper

							return cache_decorator_inner


if __name__ == "__main__":
				import doctest

				doctest.testmod()





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      lowercase_							(     _lowerCamelCase				:			Union[str, Any]						,      _lowerCamelCase				:			str=1.0						,      _lowerCamelCase				:			Optional[int]=None						,      _lowerCamelCase				:			int=None):
    if rng is None:
        lowercase__					:  Dict          =							global_rng

    lowercase__					:  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     snake_case_			(						unittest.TestCase			):






   def  __UpperCamelCase	( self							:	Union[str, Any]    )   ->		Union[str, Any]:
       lowercase__					:  List[Any]          =							"facebook/musicgen-small"
       lowercase__					:  List[Any]          =							tempfile.mkdtemp()






   def  __UpperCamelCase	( self							:	Optional[Any]      ,		**lowercase_							:	Optional[Any]    )   ->		Optional[Any]:
       return TaTokenizer.from_pretrained(self.checkpoint      ,		**lowercase_    )






   def  __UpperCamelCase	( self							:	int      ,		**lowercase_							:	Any    )   ->		List[Any]:
       return EncodecFeatureExtractor.from_pretrained(self.checkpoint      ,		**lowercase_    )






   def  __UpperCamelCase	( self							:	str    )   ->		List[Any]:
       shutil.rmtree(self.tmpdirname    )






   def  __UpperCamelCase	( self							:	Dict    )   ->		Union[str, Any]:
       lowercase__					:  List[str]          =							self.get_tokenizer()
       lowercase__					:  Optional[Any]          =							self.get_feature_extractor()

       lowercase__					:  Any          =							MusicgenProcessor(tokenizer=lowercase_      ,		feature_extractor=lowercase_    )

       processor.save_pretrained(self.tmpdirname    )
       lowercase__					:  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  __UpperCamelCase	( self							:	List[str]    )   ->		Union[str, Any]:
       lowercase__					:  Tuple          =							MusicgenProcessor(tokenizer=self.get_tokenizer()      ,		feature_extractor=self.get_feature_extractor()    )
       processor.save_pretrained(self.tmpdirname    )

       lowercase__					:  int          =							self.get_tokenizer(bos_token="(BOS)"      ,		eos_token="(EOS)"    )
       lowercase__					:  int          =							self.get_feature_extractor(do_normalize=lowercase_      ,		padding_value=1.0    )

       lowercase__					:  Optional[int]          =							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  __UpperCamelCase	( self							:	List[Any]    )   ->		Optional[Any]:
       lowercase__					:  str          =							self.get_feature_extractor()
       lowercase__					:  Union[str, Any]          =							self.get_tokenizer()

       lowercase__					:  str          =							MusicgenProcessor(tokenizer=lowercase_      ,		feature_extractor=lowercase_    )

       lowercase__					:  Tuple          =							floats_list((3, 10_00)    )

       lowercase__					:  int          =							feature_extractor(lowercase_      ,		return_tensors="np"    )
       lowercase__					:  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  __UpperCamelCase	( self							:	Any    )   ->		int:
       lowercase__					:  List[Any]          =							self.get_feature_extractor()
       lowercase__					:  int          =							self.get_tokenizer()

       lowercase__					:  int          =							MusicgenProcessor(tokenizer=lowercase_      ,		feature_extractor=lowercase_    )

       lowercase__					:  Tuple          =							"This is a test string"

       lowercase__					:  Any          =							processor(text=lowercase_    )

       lowercase__					:  str          =							tokenizer(lowercase_    )

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






   def  __UpperCamelCase	( self							:	Tuple    )   ->		List[str]:
       lowercase__					:  Dict          =							self.get_feature_extractor()
       lowercase__					:  Optional[Any]          =							self.get_tokenizer()

       lowercase__					:  str          =							MusicgenProcessor(tokenizer=lowercase_      ,		feature_extractor=lowercase_    )

       lowercase__					:  Any          =							[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

       lowercase__					:  List[Any]          =							processor.batch_decode(sequences=lowercase_    )
       lowercase__					:  Optional[Any]          =							tokenizer.batch_decode(lowercase_    )

       self.assertListEqual(lowercase_      ,		lowercase_    )






   def  __UpperCamelCase	( self							:	Dict    )   ->		List[str]:
       lowercase__					:  List[Any]          =							self.get_feature_extractor()
       lowercase__					:  Union[str, Any]          =							self.get_tokenizer()

       lowercase__					:  str          =							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  __UpperCamelCase	( self							:	Optional[Any]    )   ->		Optional[int]:
       lowercase__					:  List[str]          =							self.get_feature_extractor(padding_side="left"    )
       lowercase__					:  Tuple          =							self.get_tokenizer()

       lowercase__					:  Any          =							MusicgenProcessor(tokenizer=lowercase_      ,		feature_extractor=lowercase_    )

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

       lowercase__					:  Union[str, Any]          =							np.asarray(floats_list((3, 20)    )    )[:, None, :]
       lowercase__					:  Dict          =							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, 10)    )
       self.assertTrue(decoded_audios[1].shape == (1, 15)    )
       self.assertTrue(decoded_audios[2].shape == (1, 20)    )



