


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      UpperCamelCase					(		unittest.TestCase     ):


   '''simple docstring'''







   def 		UpperCamelCase  (     self		):
        lowercase_       :List[str]     =       '''ylacombe/bark-small'''
        lowercase_       :Optional[int]     =       tempfile.mkdtemp()
        lowercase_       :Dict     =       '''en_speaker_1'''
        lowercase_       :str     =       '''This is a test string'''
        lowercase_       :int     =       '''speaker_embeddings_path.json'''
        lowercase_       :List[Any]     =       '''speaker_embeddings'''
   def 		UpperCamelCase  (     self   ,							**UpperCamelCase_		):
        return AutoTokenizer.from_pretrained(self.checkpoint   ,							**UpperCamelCase__		)
   def 		UpperCamelCase  (     self		):
        shutil.rmtree(self.tmpdirname		)
   def 		UpperCamelCase  (     self		):
        lowercase_       :Union[str, Any]     =       self.get_tokenizer()

        lowercase_       :int     =       BarkProcessor(tokenizer=UpperCamelCase__		)

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

        self.assertEqual(processor.tokenizer.get_vocab()   ,							tokenizer.get_vocab()		)
   @slow
   def 		UpperCamelCase  (     self		):
        lowercase_       :Optional[int]     =       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_       :Dict     =       self.get_tokenizer(bos_token='''(BOS)'''   ,							eos_token='''(EOS)'''		)

        lowercase_       :Union[str, 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 		UpperCamelCase  (     self		):
        lowercase_       :Dict     =       BarkProcessor.from_pretrained(
            pretrained_processor_name_or_path=self.checkpoint   ,							speaker_embeddings_dict_path=self.speaker_embeddings_dict_path   ,							)

        lowercase_       :Tuple     =       35
        lowercase_       :Optional[int]     =       2
        lowercase_       :int     =       8

        lowercase_       :List[str]     =       {
            '''semantic_prompt''': np.ones(UpperCamelCase__		),
            '''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_       :Tuple     =       processor(text=self.input_string   ,							voice_preset=UpperCamelCase__		)

        lowercase_       :Union[str, Any]     =       inputs['''history_prompt''']
        for key in voice_preset:
             self.assertListEqual(voice_preset[key].tolist()   ,							processed_voice_preset.get(UpperCamelCase__   ,							np.array([]		)		).tolist()		)

        # test loading voice preset from npz file
        lowercase_       :Optional[Any]     =       os.path.join(self.tmpdirname   ,							'''file.npz'''		)
        np.savez(UpperCamelCase__   ,							**UpperCamelCase__		)
        lowercase_       :str     =       processor(text=self.input_string   ,							voice_preset=UpperCamelCase__		)
        lowercase_       :List[str]     =       inputs['''history_prompt''']

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

        # test loading voice preset from the hub
        lowercase_       :List[Any]     =       processor(text=self.input_string   ,							voice_preset=self.voice_preset		)




   def 		UpperCamelCase  (     self		):
        lowercase_       :str     =       self.get_tokenizer()

        lowercase_       :str     =       BarkProcessor(tokenizer=UpperCamelCase__		)

        lowercase_       :str     =       processor(text=self.input_string		)

        lowercase_       :Any     =       tokenizer(
            self.input_string   ,							padding='''max_length'''   ,							max_length=256   ,							add_special_tokens=UpperCamelCase__   ,							return_attention_mask=UpperCamelCase__   ,							return_token_type_ids=UpperCamelCase__   ,							)

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





def     UpperCamelCase    (      _a		)					->							int:
     '''simple docstring'''





     assert isinstance(_a       ,		_a		), f"The input value of [n={number}] is not an integer"

     if number == 1:
          return 2
     elif number < 1:
          lowercase_       :str     =       f"The input value of [n={number}] has to be > 0"
          raise ValueError(_a		)
     else:
          lowercase_       :List[str]     =       sylvester(number - 1		)
          lowercase_       :Union[str, Any]     =       num - 1
          lowercase_       :List[str]     =       num
          return lower * upper + 1


if __name__ == "__main__":
   print(f"The 8th number in Sylvester's sequence: {sylvester(8)}")

