


import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class     lowercase__  (					__SCREAMING_SNAKE_CASE					,							unittest.TestCase		):
  A__=  MgpstrTokenizer
  A__=  False
  A__=  {}
  A__=  False






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         super().setUp()

         # fmt: off
         UpperCAmelCase__										=     ["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
         # fmt: on
         UpperCAmelCase__										=     dict(zip(_lowercase		,						range(len(_lowercase ) ) ) )

         UpperCAmelCase__										=     os.path.join(self.tmpdirname		,						VOCAB_FILES_NAMES["vocab_file"] )
         with open(self.vocab_file		,						"w"		,						encoding="utf-8" ) as fp:
                fp.write(json.dumps(_lowercase ) + "\n" )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any]		,						**_lowercase      :					Tuple ):




         """simple docstring"""







         return MgpstrTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[str]		,						_lowercase      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     "tester"
         UpperCAmelCase__										=     "tester"
         return input_text, output_text






  @unittest.skip("MGP-STR always lower cases letters." )
  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         pass






  def 			_UpperCAmelCase  (					self      :					List[str] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizers(do_lower_case=_lowercase )
         for tokenizer in tokenizers:
                with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       UpperCAmelCase__										=     "[SPECIAL_TOKEN]"

                       tokenizer.add_special_tokens({"cls_token": special_token} )
                       UpperCAmelCase__										=     tokenizer.encode([special_token]		,						add_special_tokens=_lowercase )
                       self.assertEqual(len(_lowercase )		,						1 )

                       UpperCAmelCase__										=     tokenizer.decode(_lowercase		,						skip_special_tokens=_lowercase )
                       self.assertTrue(special_token not in decoded )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizers()
         for tokenizer in tokenizers:
                with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
                       UpperCAmelCase__						,			UpperCAmelCase__										=     self.get_input_output_texts(_lowercase )

                       UpperCAmelCase__										=     tokenizer.tokenize(_lowercase )
                       UpperCAmelCase__										=     tokenizer.convert_tokens_to_ids(_lowercase )
                       UpperCAmelCase__										=     tokenizer.encode(_lowercase		,						add_special_tokens=_lowercase )
                       self.assertListEqual(_lowercase		,						_lowercase )

                       UpperCAmelCase__										=     tokenizer.convert_ids_to_tokens(_lowercase )
                       self.assertNotEqual(len(_lowercase )		,						0 )
                       UpperCAmelCase__										=     tokenizer.decode(_lowercase )
                       self.assertIsInstance(_lowercase		,						_lowercase )

                       self.assertEqual(text_a.replace(" "		,						"" )		,						_lowercase )






  @unittest.skip("MGP-STR tokenizer only handles one sequence." )
  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         pass






  @unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer" )
  def 			_UpperCAmelCase  (					self      :					List[str] ):




         """simple docstring"""







         pass









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     lowercase__  (					unittest.TestCase		):






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







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






  def 			_UpperCAmelCase  (					self      :					List[str]		,						**_lowercase      :					str ):




         """simple docstring"""







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






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         shutil.rmtree(self.tmpdirname )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer()

         UpperCAmelCase__										=     BarkProcessor(tokenizer=_lowercase )

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

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






  @slow
  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     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		,						)

         UpperCAmelCase__										=     self.get_tokenizer(bos_token="(BOS)"		,						eos_token="(EOS)" )

         UpperCAmelCase__										=     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      :					Optional[Any] ):




         """simple docstring"""







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

         UpperCAmelCase__										=     35
         UpperCAmelCase__										=     2
         UpperCAmelCase__										=     8

         UpperCAmelCase__										=     {
             "semantic_prompt": np.ones(_lowercase ),
             "coarse_prompt": np.ones((nb_codebooks_coarse, seq_len) ),
             "fine_prompt": np.ones((nb_codebooks_total, seq_len) ),
         }

         # test providing already loaded voice_preset
         UpperCAmelCase__										=     processor(text=self.input_string		,						voice_preset=_lowercase )

         UpperCAmelCase__										=     inputs["history_prompt"]
         for key in voice_preset:
                self.assertListEqual(voice_preset[key].tolist()		,						processed_voice_preset.get(_lowercase		,						np.array([] ) ).tolist() )

         # test loading voice preset from npz file
         UpperCAmelCase__										=     os.path.join(self.tmpdirname		,						"file.npz" )
         np.savez(_lowercase		,						**_lowercase )
         UpperCAmelCase__										=     processor(text=self.input_string		,						voice_preset=_lowercase )
         UpperCAmelCase__										=     inputs["history_prompt"]

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

         # test loading voice preset from the hub
         UpperCAmelCase__										=     processor(text=self.input_string		,						voice_preset=self.voice_preset )






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




         """simple docstring"""







         UpperCAmelCase__										=     self.get_tokenizer()

         UpperCAmelCase__										=     BarkProcessor(tokenizer=_lowercase )

         UpperCAmelCase__										=     processor(text=self.input_string )

         UpperCAmelCase__										=     tokenizer(
             self.input_string		,						padding="max_length"		,						max_length=2_56		,						add_special_tokens=_lowercase		,						return_attention_mask=_lowercase		,						return_token_type_ids=_lowercase		,						)

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





