




'''simple docstring'''


import json
import os
from typing import Optional

import numpy as np

from ...feature_extraction_utils import BatchFeature
from ...processing_utils import ProcessorMixin
from ...utils import logging
from ...utils.hub import get_file_from_repo
from ..auto import AutoTokenizer


_snake_case : Any  				=						logging.get_logger(__name__)

class      A       (						_a       ):
							lowercase_							     =							'AutoTokenizer'
							lowercase_							     =							['tokenizer']

							lowercase_							     =							{
							    'semantic_prompt': 1,
							    'coarse_prompt': 2,
							    'fine_prompt': 2,
							}







							def __init__(    self			:    Tuple				,     lowerCAmelCase_			:    str				,     lowerCAmelCase_			:    List[Any]=None   )     ->				Dict:


														"""simple docstring"""


														super().__init__(lowerCAmelCase_   )

														_a      	=							speaker_embeddings







							@classmethod
							def   __lowerCAmelCase     (    cls			:    Any				,     lowerCAmelCase_			:    int				,     lowerCAmelCase_			:    List[Any]="speaker_embeddings_path.json"				,     **lowerCAmelCase_			:    Any   )     ->				str:


														"""simple docstring"""


														if speaker_embeddings_dict_path is not None:
																					_a      	=							get_file_from_repo(
																					    lowerCAmelCase_				,     lowerCAmelCase_				,     subfolder=kwargs.pop('''subfolder'''				,     lowerCAmelCase_   )				,     cache_dir=kwargs.pop('''cache_dir'''				,     lowerCAmelCase_   )				,     force_download=kwargs.pop('''force_download'''				,     lowerCAmelCase_   )				,     proxies=kwargs.pop('''proxies'''				,     lowerCAmelCase_   )				,     resume_download=kwargs.pop('''resume_download'''				,     lowerCAmelCase_   )				,     local_files_only=kwargs.pop('''local_files_only'''				,     lowerCAmelCase_   )				,     use_auth_token=kwargs.pop('''use_auth_token'''				,     lowerCAmelCase_   )				,     revision=kwargs.pop('''revision'''				,     lowerCAmelCase_   )				,     )
																					if speaker_embeddings_path is None:
																												logger.warning(
																												    F'`{os.path.join(lowerCAmelCase_				,     lowerCAmelCase_   )}` does not exists\n                    , no preloaded speaker embeddings will be used - Make sure to provide a correct path to the json\n                    dictionnary if wanted, otherwise set `speaker_embeddings_dict_path=None`.'   )
																												_a      	=							None
																					else:
																												with open(lowerCAmelCase_   ) as speaker_embeddings_json:
																																			_a      	=							json.load(lowerCAmelCase_   )
														else:
																					_a      	=							None

														_a      	=							AutoTokenizer.from_pretrained(lowerCAmelCase_				,     **lowerCAmelCase_   )

														return cls(tokenizer=lowerCAmelCase_				,     speaker_embeddings=lowerCAmelCase_   )







							def   __lowerCAmelCase     (    self			:    Optional[int]				,     lowerCAmelCase_			:    Any				,     lowerCAmelCase_			:    Optional[Any]="speaker_embeddings_path.json"				,     lowerCAmelCase_			:    Dict="speaker_embeddings"				,     lowerCAmelCase_			:    bool = False				,     **lowerCAmelCase_			:    List[str]				,     )     ->				str:


														"""simple docstring"""


														if self.speaker_embeddings is not None:
																					os.makedirs(os.path.join(lowerCAmelCase_				,     lowerCAmelCase_				,     '''v2'''   )				,     exist_ok=lowerCAmelCase_   )

																					_a      	=							{}

																					_a      	=							save_directory

																					for prompt_key in self.speaker_embeddings:
																												if prompt_key != "repo_or_path":
																																			_a      	=							self._load_voice_preset(lowerCAmelCase_   )

																																			_a      	=							{}
																																			for key in self.speaker_embeddings[prompt_key]:
																																										np.save(
																																										    os.path.join(
																																										        embeddings_dict['''repo_or_path''']				,     lowerCAmelCase_				,     F'{prompt_key}_{key}'   )				,     voice_preset[key]				,     allow_pickle=lowerCAmelCase_				,     )
																																										_a      	=							os.path.join(lowerCAmelCase_				,     F'{prompt_key}_{key}.npy'   )

																																			_a      	=							tmp_dict

																					with open(os.path.join(lowerCAmelCase_				,     lowerCAmelCase_   )				,     '''w'''   ) as fp:
																												json.dump(lowerCAmelCase_				,     lowerCAmelCase_   )

														super().save_pretrained(lowerCAmelCase_				,     lowerCAmelCase_				,     **lowerCAmelCase_   )







							def   __lowerCAmelCase     (    self			:    List[str]				,     lowerCAmelCase_			:    str = None				,     **lowerCAmelCase_			:    Union[str, Any]   )     ->				Any:


														"""simple docstring"""


														_a      	=							self.speaker_embeddings[voice_preset]

														_a      	=							{}
														for key in ["semantic_prompt", "coarse_prompt", "fine_prompt"]:
																					if key not in voice_preset_paths:
																												raise ValueError(
																												    F'Voice preset unrecognized, missing {key} as a key in self.speaker_embeddings[{voice_preset}].'   )

																					_a      	=							get_file_from_repo(
																					    self.speaker_embeddings.get('''repo_or_path'''				,     '''/'''   )				,     voice_preset_paths[key]				,     subfolder=kwargs.pop('''subfolder'''				,     lowerCAmelCase_   )				,     cache_dir=kwargs.pop('''cache_dir'''				,     lowerCAmelCase_   )				,     force_download=kwargs.pop('''force_download'''				,     lowerCAmelCase_   )				,     proxies=kwargs.pop('''proxies'''				,     lowerCAmelCase_   )				,     resume_download=kwargs.pop('''resume_download'''				,     lowerCAmelCase_   )				,     local_files_only=kwargs.pop('''local_files_only'''				,     lowerCAmelCase_   )				,     use_auth_token=kwargs.pop('''use_auth_token'''				,     lowerCAmelCase_   )				,     revision=kwargs.pop('''revision'''				,     lowerCAmelCase_   )				,     )
																					if path is None:
																												raise ValueError(
																												    F'`{os.path.join(self.speaker_embeddings.get("repo_or_path"				,     "/"   )				,     voice_preset_paths[key]   )}` does not exists\n                    , no preloaded voice preset will be used - Make sure to provide correct paths to the {voice_preset}\n                    embeddings.'   )

																					_a      	=							np.load(lowerCAmelCase_   )

														return voice_preset_dict







							def   __lowerCAmelCase     (    self			:    int				,     lowerCAmelCase_			:    Optional[dict] = None   )     ->				Any:


														"""simple docstring"""


														for key in ["semantic_prompt", "coarse_prompt", "fine_prompt"]:
																					if key not in voice_preset:
																												raise ValueError(F'Voice preset unrecognized, missing {key} as a key.'   )

																					if not isinstance(voice_preset[key]				,     np.ndarray   ):
																												raise ValueError(F'{key} voice preset must be a {str(self.preset_shape[key]   )}D ndarray.'   )

																					if len(voice_preset[key].shape   ) != self.preset_shape[key]:
																												raise ValueError(F'{key} voice preset must be a {str(self.preset_shape[key]   )}D ndarray.'   )







							def __call__(    self			:    Union[str, Any]				,     lowerCAmelCase_			:    int=None				,     lowerCAmelCase_			:    Union[str, Any]=None				,     lowerCAmelCase_			:    Dict="pt"				,     lowerCAmelCase_			:    Dict=2_56				,     lowerCAmelCase_			:    Tuple=False				,     lowerCAmelCase_			:    Union[str, Any]=True				,     lowerCAmelCase_			:    Union[str, Any]=False				,     **lowerCAmelCase_			:    int				,     )     ->				str:


														"""simple docstring"""


														if voice_preset is not None and not isinstance(lowerCAmelCase_				,     lowerCAmelCase_   ):
																					if (
																					    isinstance(lowerCAmelCase_				,     lowerCAmelCase_   )
																					    and self.speaker_embeddings is not None
																					    and voice_preset in self.speaker_embeddings
																					):
																												_a      	=							self._load_voice_preset(lowerCAmelCase_   )

																					else:
																												if isinstance(lowerCAmelCase_				,     lowerCAmelCase_   ) and not voice_preset.endswith('''.npz'''   ):
																																			_a      	=							voice_preset + '''.npz'''

																												_a      	=							np.load(lowerCAmelCase_   )

														if voice_preset is not None:
																					self._validate_voice_preset_dict(lowerCAmelCase_				,     **lowerCAmelCase_   )
																					_a      	=							BatchFeature(data=lowerCAmelCase_				,     tensor_type=lowerCAmelCase_   )

														_a      	=							self.tokenizer(
														    lowerCAmelCase_				,     return_tensors=lowerCAmelCase_				,     padding='''max_length'''				,     max_length=lowerCAmelCase_				,     return_attention_mask=lowerCAmelCase_				,     return_token_type_ids=lowerCAmelCase_				,     add_special_tokens=lowerCAmelCase_				,     **lowerCAmelCase_				,     )

														if voice_preset is not None:
																					_a      	=							voice_preset

														return encoded_text






from math import sqrt

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (
          number >= 0
      ), "'number' must been an int and positive"

      lowercase__  =	True

      # 0 and 1 are none primes.
      if number <= 1:
            lowercase__  =	False

      for divisor in range(2    ,	int(round(sqrt(A__						)						)						) + 1						):
            # if 'number' divisible by 'divisor' then sets 'status'
            # of false and break up the loop.
            if number % divisor == 0:
                  lowercase__  =	False
                  break

    # precondition
      assert isinstance(A__    ,	A__						), "'status' must been from type bool"

      return status

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (n > 2), "'N' must been an int and > 2"

      # beginList: contains all natural numbers from 2 up to N
      lowercase__  =	list(range(2    ,	n + 1						)						)

      lowercase__  =	[]  # this list will be returns.

      # actual sieve of erathostenes
      for i in range(len(A__						)						):
            for j in range(i + 1    ,	len(A__						)						):
                  if (begin_list[i] != 0) and (begin_list[j] % begin_list[i] == 0):
                        lowercase__  =	0

    # filters actual prime numbers.
      lowercase__  =	[x for x in begin_list if x != 0]

      # precondition
      assert isinstance(A__    ,	A__						), "'ans' must been from type list"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (n > 2), "'N' must been an int and > 2"

      lowercase__  =	[]

      # iterates over all numbers between 2 up to N+1
      # if a number is prime then appends to list 'ans'
      for number in range(2    ,	n + 1						):
            if is_prime(A__						):
                  ans.append(A__						)

    # precondition
      assert isinstance(A__    ,	A__						), "'ans' must been from type list"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and number >= 0, "'number' must been an int and >= 0"

      lowercase__  =	[]  # this list will be returns of the function.

      # potential prime number factors.

      lowercase__  =	2

      lowercase__  =	number

      if number == 0 or number == 1:
            ans.append(A__						)

      # if 'number' not prime then builds the prime factorization of 'number'
      elif not is_prime(A__						):
            while quotient != 1:
                  if is_prime(A__						) and (quotient % factor == 0):
                        ans.append(A__						)
                        quotient /= factor
                  else:
                        factor += 1

      else:
            ans.append(A__						)

      # precondition
      assert isinstance(A__    ,	A__						), "'ans' must been from type list"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (
          number >= 0
      ), "'number' bust been an int and >= 0"

      lowercase__  =	0

      # prime factorization of 'number'
      lowercase__  =	prime_factorization(A__						)

      lowercase__  =	max(A__						)

      # precondition
      assert isinstance(A__    ,	A__						), "'ans' must been from type int"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (
          number >= 0
      ), "'number' bust been an int and >= 0"

      lowercase__  =	0

      # prime factorization of 'number'
      lowercase__  =	prime_factorization(A__						)

      lowercase__  =	min(A__						)

      # precondition
      assert isinstance(A__    ,	A__						), "'ans' must been from type int"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						), "'number' must been an int"
      assert isinstance(number % 2 == 0    ,	A__						), "compare bust been from type bool"

      return number % 2 == 0

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						), "'number' must been an int"
      assert isinstance(number % 2 != 0    ,	A__						), "compare bust been from type bool"

      return number % 2 != 0

def 	_lowerCAmelCase (    A__						):
      assert (
          isinstance(A__    ,	A__						) and (number > 2) and is_even(A__						)
      ), "'number' must been an int, even and > 2"

      lowercase__  =	[]  # this list will returned

      # creates a list of prime numbers between 2 up to 'number'
      lowercase__  =	get_prime_numbers(A__						)
      lowercase__  =	len(A__						)

      # run variable for while-loops.
      lowercase__  =	0
      lowercase__  =	None

      # exit variable. for break up the loops
      lowercase__  =	True

      while i < len_pn and loop:
            lowercase__  =	i + 1

            while j < len_pn and loop:
                  if prime_numbers[i] + prime_numbers[j] == number:
                        lowercase__  =	False
                        ans.append(prime_numbers[i]						)
                        ans.append(prime_numbers[j]						)

                  j += 1

            i += 1

      # precondition
      assert (
          isinstance(A__    ,	A__						)
          and (len(A__						) == 2)
          and (ans[0] + ans[1] == number)
          and is_prime(ans[0]						)
          and is_prime(ans[1]						)
      ), "'ans' must contains two primes. And sum of elements must been eq 'number'"

      return ans

def 	_lowerCAmelCase (    A__    ,	A__						):
      assert (
          isinstance(A__    ,	A__						)
          and isinstance(A__    ,	A__						)
          and (numbera >= 0)
          and (numbera >= 0)
      ), "'number1' and 'number2' must been positive integer."

      lowercase__  =	0

      while numbera != 0:
            lowercase__  =	numbera % numbera
            lowercase__  =	numbera
            lowercase__  =	rest

      # precondition
      assert isinstance(A__    ,	A__						) and (
          numbera >= 0
      ), "'number' must been from type int and positive"

      return numbera

def 	_lowerCAmelCase (    A__    ,	A__						):
      assert (
          isinstance(A__    ,	A__						)
          and isinstance(A__    ,	A__						)
          and (numbera >= 1)
          and (numbera >= 1)
      ), "'number1' and 'number2' must been positive integer."

      lowercase__  =	1  # actual answer that will be return.

      # for kgV (x,1)
      if numbera > 1 and numbera > 1:
            # builds the prime factorization of 'number1' and 'number2'
            lowercase__  =	prime_factorization(A__						)
            lowercase__  =	prime_factorization(A__						)

      elif numbera == 1 or numbera == 1:
            lowercase__  =	[]
            lowercase__  =	[]
            lowercase__  =	max(A__    ,	A__						)

      lowercase__  =	0
      lowercase__  =	0

      lowercase__  =	[]  # captured numbers int both 'primeFac1' and 'primeFac2'

      # iterates through primeFac1
      for n in prime_fac_a:
            if n not in done:
                  if n in prime_fac_a:
                        lowercase__  =	prime_fac_a.count(A__						)
                        lowercase__  =	prime_fac_a.count(A__						)

                        for _ in range(max(A__    ,	A__						)						):
                              ans *= n

                  else:
                        lowercase__  =	prime_fac_a.count(A__						)

                        for _ in range(A__						):
                              ans *= n

                  done.append(A__						)

    # iterates through primeFac2
      for n in prime_fac_a:
            if n not in done:
                  lowercase__  =	prime_fac_a.count(A__						)

                  for _ in range(A__						):
                        ans *= n

                  done.append(A__						)

    # precondition
      assert isinstance(A__    ,	A__						) and (
          ans >= 0
      ), "'ans' must been from type int and positive"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (n >= 0), "'number' must been a positive int"

      lowercase__  =	0
      lowercase__  =	2  # this variable holds the answer

      while index < n:
            index += 1

            ans += 1  # counts to the next number

            # if ans not prime then
            # runs to the next prime number.
            while not is_prime(A__						):
                  ans += 1

    # precondition
      assert isinstance(A__    ,	A__						) and is_prime(
          A__						), "'ans' must been a prime number and from type int"

      return ans

def 	_lowerCAmelCase (    A__    ,	A__						):
      assert (
          is_prime(A__						) and is_prime(A__						) and (p_number_a < p_number_a)
      ), "The arguments must been prime numbers and 'pNumber1' < 'pNumber2'"

      lowercase__  =	p_number_a + 1  # jump to the next number

      lowercase__  =	[]  # this list will be returns.

      # if number is not prime then
      # fetch the next prime number.
      while not is_prime(A__						):
            number += 1

      while number < p_number_a:
            ans.append(A__						)

            number += 1

            # fetch the next prime number.
            while not is_prime(A__						):
                  number += 1

    # precondition
      assert (
          isinstance(A__    ,	A__						)
          and ans[0] != p_number_a
          and ans[len(A__						) - 1] != p_number_a
      ), "'ans' must been a list without the arguments"

      # 'ans' contains not 'pNumber1' and 'pNumber2' !
      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (n >= 1), "'n' must been int and >= 1"

      lowercase__  =	[]  # will be returned.

      for divisor in range(1    ,	n + 1						):
            if n % divisor == 0:
                  ans.append(A__						)

    # precondition
      assert ans[0] == 1 and ans[len(A__						) - 1] == n, "Error in function getDivisiors(...)"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (
          number > 1
      ), "'number' must been an int and >= 1"

      lowercase__  =	get_divisors(A__						)

      # precondition
      assert (
          isinstance(A__    ,	A__						)
          and (divisors[0] == 1)
          and (divisors[len(A__						) - 1] == number)
      ), "Error in help-function getDivisiors(...)"

      # summed all divisors up to 'number' (exclusive), hence [:-1]
      return sum(divisors[:-1]						) == number

def 	_lowerCAmelCase (    A__    ,	A__						):
      assert (
          isinstance(A__    ,	A__						)
          and isinstance(A__    ,	A__						)
          and (denominator != 0)
      ), "The arguments must been from type int and 'denominator' != 0"

      # build the greatest common divisor of numerator and denominator.
      lowercase__  =	gcd(abs(A__						)    ,	abs(A__						)						)

      # precondition
      assert (
          isinstance(A__    ,	A__						)
          and (numerator % gcd_of_fraction == 0)
          and (denominator % gcd_of_fraction == 0)
      ), "Error in function gcd(...,...)"

      return (numerator // gcd_of_fraction, denominator // gcd_of_fraction)

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (n >= 0), "'n' must been a int and >= 0"

      lowercase__  =	1  # this will be return.

      for factor in range(1    ,	n + 1						):
            ans *= factor

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (n >= 0), "'n' must been an int and >= 0"

      lowercase__  =	0
      lowercase__  =	1
      lowercase__  =	1  # this will be return

      for _ in range(n - 1						):
            lowercase__  =	ans
            ans += fiba
            lowercase__  =	tmp

      return ans
