


'''simple docstring'''

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  UpperCamelCase__						(self       :       int					):

             '''simple docstring'''







             lowercase__      =					'''ylacombe/bark-small'''
             lowercase__      =					tempfile.mkdtemp()
             lowercase__      =					'''en_speaker_1'''
             lowercase__      =					'''This is a test string'''
             lowercase__      =					'''speaker_embeddings_path.json'''
             lowercase__      =					'''speaker_embeddings'''



      def  UpperCamelCase__						(self       :       List[str]  ,		**UpperCamelCase       :       Any					):

             '''simple docstring'''







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



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

             '''simple docstring'''







             shutil.rmtree(self.tmpdirname					)



      def  UpperCamelCase__						(self       :       Optional[int]					):

             '''simple docstring'''







             lowercase__      =					self.get_tokenizer()

             lowercase__      =					BarkProcessor(tokenizer=UpperCamelCase					)

             processor.save_pretrained(self.tmpdirname					)
             lowercase__      =					BarkProcessor.from_pretrained(self.tmpdirname					)

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



      @slow
      def  UpperCamelCase__						(self       :       Any					):

             '''simple docstring'''







             lowercase__      =					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__      =					self.get_tokenizer(bos_token='''(BOS)'''  ,		eos_token='''(EOS)'''					)

             lowercase__      =					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       :       List[Any]					):

             '''simple docstring'''







             lowercase__      =					BarkProcessor.from_pretrained(
                 pretrained_processor_name_or_path=self.checkpoint  ,		speaker_embeddings_dict_path=self.speaker_embeddings_dict_path  ,		)

             lowercase__      =					35
             lowercase__      =					2
             lowercase__      =					8

             lowercase__      =					{
                 '''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__      =					processor(text=self.input_string  ,		voice_preset=UpperCamelCase					)

             lowercase__      =					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__      =					os.path.join(self.tmpdirname  ,		'''file.npz'''					)
             np.savez(UpperCamelCase  ,		**UpperCamelCase					)
             lowercase__      =					processor(text=self.input_string  ,		voice_preset=UpperCamelCase					)
             lowercase__      =					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__      =					processor(text=self.input_string  ,		voice_preset=self.voice_preset					)






      def  UpperCamelCase__						(self       :       Dict					):

             '''simple docstring'''







             lowercase__      =					self.get_tokenizer()

             lowercase__      =					BarkProcessor(tokenizer=UpperCamelCase					)

             lowercase__      =					processor(text=self.input_string					)

             lowercase__      =					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()					)








'''simple docstring'''

from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands

def _SCREAMING_SNAKE_CASE ()			->			Dict:






       """simple docstring"""







       lowercase__      =					ArgumentParser('''Transformers CLI tool'''    ,					usage='''transformers-cli <command> [<args>]'''			)
       lowercase__      =					parser.add_subparsers(help='''transformers-cli command helpers'''			)

       # Register commands
       ConvertCommand.register_subcommand(A			)
       DownloadCommand.register_subcommand(A			)
       EnvironmentCommand.register_subcommand(A			)
       RunCommand.register_subcommand(A			)
       ServeCommand.register_subcommand(A			)
       UserCommands.register_subcommand(A			)
       AddNewModelCommand.register_subcommand(A			)
       AddNewModelLikeCommand.register_subcommand(A			)
       LfsCommands.register_subcommand(A			)
       PTtoTFCommand.register_subcommand(A			)

       # Let's go
       lowercase__      =					parser.parse_args()

       if not hasattr(A    ,					'''func'''			):
              parser.print_help()
              exit(1			)

       # Run
       lowercase__      =					args.func(A			)
       service.run()


if __name__ == "__main__":
 main()




