





import os
import shutil
import tempfile
import unittest

import numpy as np

from transformers import AutoTokenizer, BarkProcessor
from transformers.testing_utils import require_torch, slow

@require_torch
class 		lowerCAmelCase     ( unittest.TestCase			):

					'''simple docstring'''

					def       lowerCAmelCase				(  self				:	List[Any]							)			->  Tuple:


												"""simple docstring"""

												__lowercase      :							int				=     """ylacombe/bark-small"""
												__lowercase      :							int				=     tempfile.mkdtemp()
												__lowercase      :							List[Any]				=     """en_speaker_1"""
												__lowercase      :							Union[str, Any]				=     """This is a test string"""
												__lowercase      :							List[str]				=     """speaker_embeddings_path.json"""
												__lowercase      :							Any				=     """speaker_embeddings"""



					def       lowerCAmelCase				(  self				:	Union[str, Any]		,     **__a				:	Tuple							)			->  List[str]:


												"""simple docstring"""

												return AutoTokenizer.from_pretrained(self.checkpoint		,     **__a							)



					def       lowerCAmelCase				(  self				:	Optional[Any]							)			->  Any:


												"""simple docstring"""

												shutil.rmtree(self.tmpdirname							)



					def       lowerCAmelCase				(  self				:	Dict							)			->  Optional[Any]:


												"""simple docstring"""

												__lowercase      :							List[str]				=     self.get_tokenizer()

												__lowercase      :							List[Any]				=     BarkProcessor(tokenizer=__a							)

												processor.save_pretrained(self.tmpdirname							)
												__lowercase      :							Tuple				=     BarkProcessor.from_pretrained(self.tmpdirname							)

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



					@slow
					def       lowerCAmelCase				(  self				:	Tuple							)			->  Dict:


												"""simple docstring"""

												__lowercase      :							Any				=     BarkProcessor.from_pretrained(
												    pretrained_processor_name_or_path=self.checkpoint		,     speaker_embeddings_dict_path=self.speaker_embeddings_dict_path		,     )
												processor.save_pretrained(
												    self.tmpdirname		,     speaker_embeddings_dict_path=self.speaker_embeddings_dict_path		,     speaker_embeddings_directory=self.speaker_embeddings_directory		,     )

												__lowercase      :							Optional[int]				=     self.get_tokenizer(bos_token="""(BOS)"""		,     eos_token="""(EOS)"""							)

												__lowercase      :							List[Any]				=     BarkProcessor.from_pretrained(
												    self.tmpdirname		,     self.speaker_embeddings_dict_path		,     bos_token="""(BOS)"""		,     eos_token="""(EOS)"""		,     )

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



					def       lowerCAmelCase				(  self				:	Tuple							)			->  List[Any]:


												"""simple docstring"""

												__lowercase      :							Any				=     BarkProcessor.from_pretrained(
												    pretrained_processor_name_or_path=self.checkpoint		,     speaker_embeddings_dict_path=self.speaker_embeddings_dict_path		,     )

												__lowercase      :							Union[str, Any]				=     35
												__lowercase      :							Union[str, Any]				=     2
												__lowercase      :							str				=     8

												__lowercase      :							int				=     {
												    """semantic_prompt""": np.ones(__a							),
												    """coarse_prompt""": np.ones((nb_codebooks_coarse, seq_len)							),
												    """fine_prompt""": np.ones((nb_codebooks_total, seq_len)							),
												}

												# test providing already loaded voice_preset
												__lowercase      :							int				=     processor(text=self.input_string		,     voice_preset=__a							)

												__lowercase      :							List[Any]				=     inputs["""history_prompt"""]
												for key in voice_preset:
																			self.assertListEqual(voice_preset[key].tolist()		,     processed_voice_preset.get(__a		,     np.array([]							)							).tolist()							)

												# test loading voice preset from npz file
												__lowercase      :							Union[str, Any]				=     os.path.join(self.tmpdirname		,     """file.npz"""							)
												np.savez(__a		,     **__a							)
												__lowercase      :							str				=     processor(text=self.input_string		,     voice_preset=__a							)
												__lowercase      :							str				=     inputs["""history_prompt"""]

												for key in voice_preset:
																			self.assertListEqual(voice_preset[key].tolist()		,     processed_voice_preset.get(__a		,     np.array([]							)							).tolist()							)

												# test loading voice preset from the hub
												__lowercase      :							Optional[int]				=     processor(text=self.input_string		,     voice_preset=self.voice_preset							)



					def       lowerCAmelCase				(  self				:	int							)			->  Any:


												"""simple docstring"""

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

												__lowercase      :							int				=     BarkProcessor(tokenizer=__a							)

												__lowercase      :							List[Any]				=     processor(text=self.input_string							)

												__lowercase      :							Optional[Any]				=     tokenizer(
												    self.input_string		,     padding="""max_length"""		,     max_length=256		,     add_special_tokens=__a		,     return_attention_mask=__a		,     return_token_type_ids=__a		,     )

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







def       snake_case_		(     lowerCAmelCase_       :						int       ,       lowerCAmelCase_       :						int      ):
							return int((input_a, input_a).count(1      ) != 0      )
def       snake_case_		(     ):
							assert or_gate(0       ,       0      ) == 0
							assert or_gate(0       ,       1      ) == 1
							assert or_gate(1       ,       0      ) == 1
							assert or_gate(1       ,       1      ) == 1


if __name__ == "__main__":
	print(or_gate(0, 1))
	print(or_gate(1, 0))
	print(or_gate(0, 0))
	print(or_gate(1, 1))