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 	__snake_case	( unittest.TestCase		):





      '''simple docstring'''






      def 	_SCREAMING_SNAKE_CASE    (					self     :				int)				->Any:


          """simple docstring"""


          _lowerCamelCase     :		int 						=						"""ylacombe/bark-small"""
          _lowerCamelCase     :		Tuple 						=						tempfile.mkdtemp()
          _lowerCamelCase     :		Tuple 						=						"""en_speaker_1"""
          _lowerCamelCase     :		Tuple 						=						"""This is a test string"""
          _lowerCamelCase     :		Optional[int] 						=						"""speaker_embeddings_path.json"""
          _lowerCamelCase     :		int 						=						"""speaker_embeddings"""



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Dict    ,  **_UpperCamelCase     :				int)				->List[str]:


          """simple docstring"""


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



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[int])				->Union[str, Any]:


          """simple docstring"""


          shutil.rmtree(self.tmpdirname)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[Any])				->Tuple:


          """simple docstring"""


          _lowerCamelCase     :		str 						=						self.get_tokenizer()

          _lowerCamelCase     :		int 						=						BarkProcessor(tokenizer=_UpperCamelCase)

          processor.save_pretrained(self.tmpdirname)
          _lowerCamelCase     :		Optional[int] 						=						BarkProcessor.from_pretrained(self.tmpdirname)

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



      @slow
      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[Any])				->Union[str, Any]:


          """simple docstring"""


          _lowerCamelCase     :		str 						=						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    ,  )

          _lowerCamelCase     :		List[str] 						=						self.get_tokenizer(bos_token="""(BOS)"""    ,  eos_token="""(EOS)""")

          _lowerCamelCase     :		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 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->Tuple:


          """simple docstring"""


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

          _lowerCamelCase     :		int 						=						35
          _lowerCamelCase     :		Optional[int] 						=						2
          _lowerCamelCase     :		Optional[Any] 						=						8

          _lowerCamelCase     :		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
          _lowerCamelCase     :		List[str] 						=						processor(text=self.input_string    ,  voice_preset=_UpperCamelCase)

          _lowerCamelCase     :		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
          _lowerCamelCase     :		int 						=						os.path.join(self.tmpdirname    ,  """file.npz""")
          np.savez(_UpperCamelCase    ,  **_UpperCamelCase)
          _lowerCamelCase     :		str 						=						processor(text=self.input_string    ,  voice_preset=_UpperCamelCase)
          _lowerCamelCase     :		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
          _lowerCamelCase     :		List[str] 						=						processor(text=self.input_string    ,  voice_preset=self.voice_preset)




      def 	_SCREAMING_SNAKE_CASE    (					self     :				Any)				->List[Any]:


          """simple docstring"""


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

          _lowerCamelCase     :		Union[str, Any] 						=						BarkProcessor(tokenizer=_UpperCamelCase)

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

          _lowerCamelCase     :		Union[str, 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())





from __future__ import annotations




class 	__snake_case	:





      '''simple docstring'''






      def __init__(					self     :				Tuple    ,  _UpperCamelCase     :				int = 0)				->str:


          """simple docstring"""


          _lowerCamelCase     :		Union[str, Any] 						=						key



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Any    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int)				->list[str]:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		Union[str, Any] 						=						key or self.__key or 1

          # make sure key is an appropriate size
          key %= 255

          return [chr(ord(_UpperCamelCase) ^ key) for ch in content]



      def 	_SCREAMING_SNAKE_CASE    (					self     :				str    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int)				->list[str]:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		Optional[int] 						=						key or self.__key or 1

          # make sure key is an appropriate size
          key %= 255

          return [chr(ord(_UpperCamelCase) ^ key) for ch in content]



      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[str]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int = 0)				->str:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		int 						=						key or self.__key or 1

          # make sure key can be any size
          while key > 255:
              key -= 255

          # This will be returned
          _lowerCamelCase     :		Any 						=						""""""

          for ch in content:
              ans += chr(ord(_UpperCamelCase) ^ key)

          return ans



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[Any]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int = 0)				->str:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          _lowerCamelCase     :		int 						=						key or self.__key or 1

          # make sure key can be any size
          while key > 255:
              key -= 255

          # This will be returned
          _lowerCamelCase     :		Optional[Any] 						=						""""""

          for ch in content:
              ans += chr(ord(_UpperCamelCase) ^ key)

          return ans



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[int]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int = 0)				->bool:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          try:
              with open(_UpperCamelCase) as fin, open("""encrypt.out"""    ,  """w+""") as fout:
                  # actual encrypt-process
                  for line in fin:
                      fout.write(self.encrypt_string(_UpperCamelCase    ,  _UpperCamelCase))

          except OSError:
              return False

          return True




      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[Any]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int)				->bool:


          """simple docstring"""


          assert isinstance(_UpperCamelCase    ,  _UpperCamelCase) and isinstance(_UpperCamelCase    ,  _UpperCamelCase)

          try:
              with open(_UpperCamelCase) as fin, open("""decrypt.out"""    ,  """w+""") as fout:
                  # actual encrypt-process
                  for line in fin:
                      fout.write(self.decrypt_string(_UpperCamelCase    ,  _UpperCamelCase))

          except OSError:
              return False

          return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")




