






"""simple docstring"""

import torch

from ..models.speechta import SpeechTaForTextToSpeech, SpeechTaHifiGan, SpeechTaProcessor
from ..utils import is_datasets_available
from .base import PipelineTool


if is_datasets_available():
					from datasets import load_dataset


class 		__lowerCamelCase				( _a			):





		'''simple docstring'''






		a_	:				Union[str, Any]            =							"""microsoft/speecht5_tts"""
		a_	:				Optional[Any]            =							(
		    """This is a tool that reads an English text out loud. It takes an input named `text` which should contain the """
		    """text to read (in English) and returns a waveform object containing the sound."""
		)
		a_	:				str            =							"""text_reader"""
		a_	:				str            =							SpeechTaProcessor
		a_	:				Tuple            =							SpeechTaForTextToSpeech
		a_	:				Tuple            =							SpeechTaHifiGan

		a_	:				Optional[Any]            =							["""text"""]
		a_	:				List[Any]            =							["""audio"""]





		def    lowerCamelCase       (   self							:	Tuple	):
				if self.post_processor is None:
						lowerCAmelCase_   :							Tuple									=			"microsoft/speecht5_hifigan"
				super().setup()





		def    lowerCamelCase       (   self							:	List[Any]						,			a_							:	List[Any]						,			a_							:	List[Any]=None	):
				lowerCAmelCase_   :							Any									=			self.pre_processor(text=__UpperCAmelCase						,			return_tensors="pt"						,			truncation=__UpperCAmelCase	)

				if speaker_embeddings is None:
						if not is_datasets_available():
								raise ImportError("Datasets needs to be installed if not passing speaker embeddings."	)

						lowerCAmelCase_   :							List[str]									=			load_dataset("Matthijs/cmu-arctic-xvectors"						,			split="validation"	)
						lowerCAmelCase_   :							Optional[int]									=			torch.tensor(embeddings_dataset[73_05]["xvector"]	).unsqueeze(0	)

				return {"input_ids": inputs["input_ids"], "speaker_embeddings": speaker_embeddings}





		def    lowerCamelCase       (   self							:	Union[str, Any]						,			a_							:	Optional[int]	):
				with torch.no_grad():
						return self.model.generate_speech(**__UpperCAmelCase	)





		def    lowerCamelCase       (   self							:	Tuple						,			a_							:	str	):
				with torch.no_grad():
						return self.post_processor(__UpperCAmelCase	).cpu().detach()




"""simple docstring"""







from __future__ import annotations






class 						_A  :







    """simple docstring"""




    def __init__(					self				:    List[str]				, __UpperCAmelCase				:    int = 0):
      a						:		Tuple      							=			key






    def 	__snake_case							(					self				:    List[str]				, __UpperCAmelCase				:    str				, __UpperCAmelCase				:    int):
      assert isinstance(__UpperCAmelCase				, __UpperCAmelCase) and isinstance(__UpperCAmelCase				, __UpperCAmelCase)

      a						:		Dict      							=			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 	__snake_case							(					self				:    int				, __UpperCAmelCase				:    str				, __UpperCAmelCase				:    int):
      assert isinstance(__UpperCAmelCase				, __UpperCAmelCase) and isinstance(__UpperCAmelCase				, __UpperCAmelCase)

      a						:		Optional[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 	__snake_case							(					self				:    Optional[Any]				, __UpperCAmelCase				:    str				, __UpperCAmelCase				:    int = 0):
      assert isinstance(__UpperCAmelCase				, __UpperCAmelCase) and isinstance(__UpperCAmelCase				, __UpperCAmelCase)

      a						:		List[Any]      							=			key or self.__key or 1

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

      # This will be returned
      a						:		Any      							=			""

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

      return ans






    def 	__snake_case							(					self				:    List[str]				, __UpperCAmelCase				:    str				, __UpperCAmelCase				:    int = 0):
      assert isinstance(__UpperCAmelCase				, __UpperCAmelCase) and isinstance(__UpperCAmelCase				, __UpperCAmelCase)

      a						:		Dict      							=			key or self.__key or 1

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

      # This will be returned
      a						:		str      							=			""

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

      return ans






    def 	__snake_case							(					self				:    int				, __UpperCAmelCase				:    str				, __UpperCAmelCase				:    int = 0):
      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 	__snake_case							(					self				:    Any				, __UpperCAmelCase				:    str				, __UpperCAmelCase				:    int):
      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")






