



"""simple docstring"""
from collections import deque
from math import floor
from random import random
from time import time



class    SCREAMING_SNAKE_CASE__						:

			def __init__(     self		)						->   Optional[Any]:





				'''simple docstring'''




				UpperCAmelCase			:      str			=			{}

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE=1		)						->   List[Any]:





				'''simple docstring'''




				if self.graph.get(lowerCamelCase_		):
					if self.graph[u].count([w, v]		) == 0:
						self.graph[u].append([w, v]		)
				else:
					UpperCAmelCase			:      str			=			[[w, v]]
				if not self.graph.get(lowerCamelCase_		):
					UpperCAmelCase			:      Tuple			=			[]

			def 			SCREAMING_SNAKE_CASE  (     self		)						->   str:





				'''simple docstring'''




				return list(self.graph		)

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)						->   List[str]:





				'''simple docstring'''




				if self.graph.get(lowerCamelCase_		):
					for _ in self.graph[u]:
						if _[1] == v:
							self.graph[u].remove(lowerCamelCase_		)

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2   ,  _SCREAMING_SNAKE_CASE=-1		)						->   int:





				'''simple docstring'''




				if s == d:
					return []
				UpperCAmelCase			:      List[str]			=			[]
				UpperCAmelCase			:      List[str]			=			[]
				if s == -2:
					UpperCAmelCase			:      Tuple			=			list(self.graph		)[0]
				stack.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				UpperCAmelCase			:      Any			=			s

				while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]		) != 0:
						UpperCAmelCase			:      Optional[Any]			=			s
						for node in self.graph[s]:
							if visited.count(node[1]		) < 1:
								if node[1] == d:
									visited.append(lowerCamelCase_		)
									return visited
								else:
									stack.append(node[1]		)
									visited.append(node[1]		)
									UpperCAmelCase			:      Tuple			=			node[1]
									break

            # check if all the children are visited
					if s == ss:
						stack.pop()
						if len(lowerCamelCase_		) != 0:
							UpperCAmelCase			:      int			=			stack[len(lowerCamelCase_		) - 1]
					else:
						UpperCAmelCase			:      Any			=			ss

					# check if se have reached the starting point
					if len(lowerCamelCase_		) == 0:
						return visited

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-1		)						->   Dict:





				'''simple docstring'''




				if c == -1:
					UpperCAmelCase			:      str			=			floor(random() * 10000		) + 10
				for i in range(lowerCamelCase_		):
					# every vertex has max 100 edges
					for _ in range(floor(random() * 102		) + 1		):
						UpperCAmelCase			:      Union[str, Any]			=			floor(random() * c		) + 1
						if n != i:
							self.add_pair(lowerCamelCase_   ,  lowerCamelCase_   ,  1		)

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2		)						->   Any:





				'''simple docstring'''




				UpperCAmelCase			:      str			=			deque()
				UpperCAmelCase			:      List[str]			=			[]
				if s == -2:
					UpperCAmelCase			:      int			=			list(self.graph		)[0]
				d.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				while d:
					UpperCAmelCase			:      Dict			=			d.popleft()
					if len(self.graph[s]		) != 0:
						for node in self.graph[s]:
							if visited.count(node[1]		) < 1:
								d.append(node[1]		)
								visited.append(node[1]		)
				return visited

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





				'''simple docstring'''




				UpperCAmelCase			:      Dict			=			0
				for x in self.graph:
					for y in self.graph[x]:
						if y[1] == u:
							count += 1
				return count

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE		)						->   str:





				'''simple docstring'''




				return len(self.graph[u]		)

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2		)						->   Optional[Any]:





				'''simple docstring'''




				UpperCAmelCase			:      List[Any]			=			[]
				UpperCAmelCase			:      List[str]			=			[]
				if s == -2:
					UpperCAmelCase			:      Union[str, Any]			=			list(self.graph		)[0]
				stack.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				UpperCAmelCase			:      Union[str, Any]			=			s
				UpperCAmelCase			:      List[str]			=			[]

				while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]		) != 0:
						UpperCAmelCase			:      Optional[Any]			=			s
						for node in self.graph[s]:
							if visited.count(node[1]		) < 1:
								stack.append(node[1]		)
								visited.append(node[1]		)
								UpperCAmelCase			:      int			=			node[1]
								break

            # check if all the children are visited
					if s == ss:
						sorted_nodes.append(stack.pop()		)
						if len(lowerCamelCase_		) != 0:
							UpperCAmelCase			:      List[Any]			=			stack[len(lowerCamelCase_		) - 1]
					else:
						UpperCAmelCase			:      int			=			ss

					# check if se have reached the starting point
					if len(lowerCamelCase_		) == 0:
						return sorted_nodes

			def 			SCREAMING_SNAKE_CASE  (     self		)						->   Tuple:





				'''simple docstring'''




				UpperCAmelCase			:      List[Any]			=			[]
				UpperCAmelCase			:      Any			=			[]
				UpperCAmelCase			:      List[Any]			=			list(self.graph		)[0]
				stack.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				UpperCAmelCase			:      Any			=			-2
				UpperCAmelCase			:      int			=			[]
				UpperCAmelCase			:      Union[str, Any]			=			s
				UpperCAmelCase			:      Tuple			=			False
				UpperCAmelCase			:      Union[str, Any]			=			set()

				while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]		) != 0:
						UpperCAmelCase			:      Union[str, Any]			=			s
						for node in self.graph[s]:
							if (
							    visited.count(node[1]		) > 0
							    and node[1] != parent
							    and indirect_parents.count(node[1]		) > 0
							    and not on_the_way_back
							):
								UpperCAmelCase			:      Any			=			len(lowerCamelCase_		) - 1
								while len_stack >= 0:
									if stack[len_stack] == node[1]:
										anticipating_nodes.add(node[1]		)
										break
									else:
										anticipating_nodes.add(stack[len_stack]		)
										len_stack -= 1
							if visited.count(node[1]		) < 1:
								stack.append(node[1]		)
								visited.append(node[1]		)
								UpperCAmelCase			:      int			=			node[1]
								break

            # check if all the children are visited
					if s == ss:
						stack.pop()
						UpperCAmelCase			:      int			=			True
						if len(lowerCamelCase_		) != 0:
							UpperCAmelCase			:      Any			=			stack[len(lowerCamelCase_		) - 1]
					else:
						UpperCAmelCase			:      List[str]			=			False
						indirect_parents.append(lowerCamelCase_		)
						UpperCAmelCase			:      List[Any]			=			s
						UpperCAmelCase			:      List[Any]			=			ss

					# check if se have reached the starting point
					if len(lowerCamelCase_		) == 0:
						return list(lowerCamelCase_		)

			def 			SCREAMING_SNAKE_CASE  (     self		)						->   Union[str, Any]:





				'''simple docstring'''




				UpperCAmelCase			:      Tuple			=			[]
				UpperCAmelCase			:      int			=			[]
				UpperCAmelCase			:      Any			=			list(self.graph		)[0]
				stack.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				UpperCAmelCase			:      Union[str, Any]			=			-2
				UpperCAmelCase			:      List[Any]			=			[]
				UpperCAmelCase			:      Tuple			=			s
				UpperCAmelCase			:      Dict			=			False
				UpperCAmelCase			:      Optional[Any]			=			set()

				while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]		) != 0:
						UpperCAmelCase			:      str			=			s
						for node in self.graph[s]:
							if (
							    visited.count(node[1]		) > 0
							    and node[1] != parent
							    and indirect_parents.count(node[1]		) > 0
							    and not on_the_way_back
							):
								UpperCAmelCase			:      str			=			len(lowerCamelCase_		) - 1
								while len_stack_minus_one >= 0:
									if stack[len_stack_minus_one] == node[1]:
										anticipating_nodes.add(node[1]		)
										break
									else:
										return True
							if visited.count(node[1]		) < 1:
								stack.append(node[1]		)
								visited.append(node[1]		)
								UpperCAmelCase			:      Optional[Any]			=			node[1]
								break

            # check if all the children are visited
					if s == ss:
						stack.pop()
						UpperCAmelCase			:      Dict			=			True
						if len(lowerCamelCase_		) != 0:
							UpperCAmelCase			:      List[str]			=			stack[len(lowerCamelCase_		) - 1]
					else:
						UpperCAmelCase			:      List[Any]			=			False
						indirect_parents.append(lowerCamelCase_		)
						UpperCAmelCase			:      Optional[int]			=			s
						UpperCAmelCase			:      Optional[int]			=			ss

					# check if se have reached the starting point
					if len(lowerCamelCase_		) == 0:
						return False

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2   ,  _SCREAMING_SNAKE_CASE=-1		)						->   int:





				'''simple docstring'''




				UpperCAmelCase			:      Optional[Any]			=			time()
				self.dfs(lowerCamelCase_   ,  lowerCamelCase_		)
				UpperCAmelCase			:      List[str]			=			time()
				return end - begin




			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2		)						->   Tuple:





				'''simple docstring'''




				UpperCAmelCase			:      Optional[int]			=			time()
				self.bfs(lowerCamelCase_		)
				UpperCAmelCase			:      List[str]			=			time()
				return end - begin



class    SCREAMING_SNAKE_CASE__						:

			def __init__(     self		)						->   Dict:





				'''simple docstring'''




				UpperCAmelCase			:      Tuple			=			{}

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE=1		)						->   Dict:





				'''simple docstring'''




				if self.graph.get(lowerCamelCase_		):
					# if there already is a edge
					if self.graph[u].count([w, v]		) == 0:
						self.graph[u].append([w, v]		)
				else:
					# if u does not exist
					UpperCAmelCase			:      Any			=			[[w, v]]
				# add the other way
				if self.graph.get(lowerCamelCase_		):
					# if there already is a edge
					if self.graph[v].count([w, u]		) == 0:
						self.graph[v].append([w, u]		)
				else:
					# if u does not exist
					UpperCAmelCase			:      Any			=			[[w, u]]

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)						->   str:





				'''simple docstring'''




				if self.graph.get(lowerCamelCase_		):
					for _ in self.graph[u]:
						if _[1] == v:
							self.graph[u].remove(lowerCamelCase_		)
        # the other way round
				if self.graph.get(lowerCamelCase_		):
					for _ in self.graph[v]:
						if _[1] == u:
							self.graph[v].remove(lowerCamelCase_		)

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2   ,  _SCREAMING_SNAKE_CASE=-1		)						->   Optional[Any]:





				'''simple docstring'''




				if s == d:
					return []
				UpperCAmelCase			:      List[str]			=			[]
				UpperCAmelCase			:      Any			=			[]
				if s == -2:
					UpperCAmelCase			:      List[Any]			=			list(self.graph		)[0]
				stack.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				UpperCAmelCase			:      List[str]			=			s

				while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]		) != 0:
						UpperCAmelCase			:      Union[str, Any]			=			s
						for node in self.graph[s]:
							if visited.count(node[1]		) < 1:
								if node[1] == d:
									visited.append(lowerCamelCase_		)
									return visited
								else:
									stack.append(node[1]		)
									visited.append(node[1]		)
									UpperCAmelCase			:      Any			=			node[1]
									break

            # check if all the children are visited
					if s == ss:
						stack.pop()
						if len(lowerCamelCase_		) != 0:
							UpperCAmelCase			:      Any			=			stack[len(lowerCamelCase_		) - 1]
					else:
						UpperCAmelCase			:      List[str]			=			ss

					# check if se have reached the starting point
					if len(lowerCamelCase_		) == 0:
						return visited

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-1		)						->   Optional[Any]:





				'''simple docstring'''




				if c == -1:
					UpperCAmelCase			:      Any			=			floor(random() * 10000		) + 10
				for i in range(lowerCamelCase_		):
					# every vertex has max 100 edges
					for _ in range(floor(random() * 102		) + 1		):
						UpperCAmelCase			:      List[str]			=			floor(random() * c		) + 1
						if n != i:
							self.add_pair(lowerCamelCase_   ,  lowerCamelCase_   ,  1		)

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2		)						->   int:





				'''simple docstring'''




				UpperCAmelCase			:      List[Any]			=			deque()
				UpperCAmelCase			:      Tuple			=			[]
				if s == -2:
					UpperCAmelCase			:      Any			=			list(self.graph		)[0]
				d.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				while d:
					UpperCAmelCase			:      List[Any]			=			d.popleft()
					if len(self.graph[s]		) != 0:
						for node in self.graph[s]:
							if visited.count(node[1]		) < 1:
								d.append(node[1]		)
								visited.append(node[1]		)
				return visited

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE		)						->   int:





				'''simple docstring'''




				return len(self.graph[u]		)

			def 			SCREAMING_SNAKE_CASE  (     self		)						->   Dict:





				'''simple docstring'''




				UpperCAmelCase			:      List[str]			=			[]
				UpperCAmelCase			:      Any			=			[]
				UpperCAmelCase			:      Optional[Any]			=			list(self.graph		)[0]
				stack.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				UpperCAmelCase			:      Optional[int]			=			-2
				UpperCAmelCase			:      Tuple			=			[]
				UpperCAmelCase			:      Any			=			s
				UpperCAmelCase			:      Optional[Any]			=			False
				UpperCAmelCase			:      Optional[Any]			=			set()

				while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]		) != 0:
						UpperCAmelCase			:      Optional[Any]			=			s
						for node in self.graph[s]:
							if (
							    visited.count(node[1]		) > 0
							    and node[1] != parent
							    and indirect_parents.count(node[1]		) > 0
							    and not on_the_way_back
							):
								UpperCAmelCase			:      Optional[Any]			=			len(lowerCamelCase_		) - 1
								while len_stack >= 0:
									if stack[len_stack] == node[1]:
										anticipating_nodes.add(node[1]		)
										break
									else:
										anticipating_nodes.add(stack[len_stack]		)
										len_stack -= 1
							if visited.count(node[1]		) < 1:
								stack.append(node[1]		)
								visited.append(node[1]		)
								UpperCAmelCase			:      str			=			node[1]
								break

            # check if all the children are visited
					if s == ss:
						stack.pop()
						UpperCAmelCase			:      Optional[int]			=			True
						if len(lowerCamelCase_		) != 0:
							UpperCAmelCase			:      int			=			stack[len(lowerCamelCase_		) - 1]
					else:
						UpperCAmelCase			:      Union[str, Any]			=			False
						indirect_parents.append(lowerCamelCase_		)
						UpperCAmelCase			:      List[str]			=			s
						UpperCAmelCase			:      str			=			ss

					# check if se have reached the starting point
					if len(lowerCamelCase_		) == 0:
						return list(lowerCamelCase_		)

			def 			SCREAMING_SNAKE_CASE  (     self		)						->   Union[str, Any]:





				'''simple docstring'''




				UpperCAmelCase			:      Optional[Any]			=			[]
				UpperCAmelCase			:      int			=			[]
				UpperCAmelCase			:      Any			=			list(self.graph		)[0]
				stack.append(lowerCamelCase_		)
				visited.append(lowerCamelCase_		)
				UpperCAmelCase			:      Dict			=			-2
				UpperCAmelCase			:      int			=			[]
				UpperCAmelCase			:      int			=			s
				UpperCAmelCase			:      Union[str, Any]			=			False
				UpperCAmelCase			:      Tuple			=			set()

				while True:
					# check if there is any non isolated nodes
					if len(self.graph[s]		) != 0:
						UpperCAmelCase			:      Any			=			s
						for node in self.graph[s]:
							if (
							    visited.count(node[1]		) > 0
							    and node[1] != parent
							    and indirect_parents.count(node[1]		) > 0
							    and not on_the_way_back
							):
								UpperCAmelCase			:      Optional[Any]			=			len(lowerCamelCase_		) - 1
								while len_stack_minus_one >= 0:
									if stack[len_stack_minus_one] == node[1]:
										anticipating_nodes.add(node[1]		)
										break
									else:
										return True
							if visited.count(node[1]		) < 1:
								stack.append(node[1]		)
								visited.append(node[1]		)
								UpperCAmelCase			:      Tuple			=			node[1]
								break

            # check if all the children are visited
					if s == ss:
						stack.pop()
						UpperCAmelCase			:      Any			=			True
						if len(lowerCamelCase_		) != 0:
							UpperCAmelCase			:      str			=			stack[len(lowerCamelCase_		) - 1]
					else:
						UpperCAmelCase			:      Optional[Any]			=			False
						indirect_parents.append(lowerCamelCase_		)
						UpperCAmelCase			:      Any			=			s
						UpperCAmelCase			:      Tuple			=			ss

					# check if se have reached the starting point
					if len(lowerCamelCase_		) == 0:
						return False

			def 			SCREAMING_SNAKE_CASE  (     self		)						->   Optional[Any]:





				'''simple docstring'''




				return list(self.graph		)

			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2   ,  _SCREAMING_SNAKE_CASE=-1		)						->   str:





				'''simple docstring'''




				UpperCAmelCase			:      str			=			time()
				self.dfs(lowerCamelCase_   ,  lowerCamelCase_		)
				UpperCAmelCase			:      Tuple			=			time()
				return end - begin




			def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE=-2		)						->   Union[str, Any]:





				'''simple docstring'''




				UpperCAmelCase			:      Optional[Any]			=			time()
				self.bfs(lowerCamelCase_		)
				UpperCAmelCase			:      Dict			=			time()
				return end - begin





"""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


A:     List[Any]										=	logging.get_logger(__name__)



class    SCREAMING_SNAKE_CASE__						(      UpperCAmelCase__				):
   __lowerCAmelCase						:     Optional[int]		=		'AutoTokenizer'
   __lowerCAmelCase						:     str		=		['tokenizer']

   __lowerCAmelCase						:     Any		=		{
       'semantic_prompt': 1,
       'coarse_prompt': 2,
       'fine_prompt': 2,
   }

   def __init__(     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE=None		)						->   int:





    '''simple docstring'''




    super().__init__(_SCREAMING_SNAKE_CASE		)

    UpperCAmelCase			:      Optional[int]			=			speaker_embeddings

   @classmethod
   def 			SCREAMING_SNAKE_CASE  (     cls   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE="speaker_embeddings_path.json"   ,  **_SCREAMING_SNAKE_CASE		)						->   List[Any]:





    '''simple docstring'''




    if speaker_embeddings_dict_path is not None:
     UpperCAmelCase			:      Any			=			get_file_from_repo(
         _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  subfolder=kwargs.pop("""subfolder"""   ,  _SCREAMING_SNAKE_CASE		)   ,  cache_dir=kwargs.pop("""cache_dir"""   ,  _SCREAMING_SNAKE_CASE		)   ,  force_download=kwargs.pop("""force_download"""   ,  _SCREAMING_SNAKE_CASE		)   ,  proxies=kwargs.pop("""proxies"""   ,  _SCREAMING_SNAKE_CASE		)   ,  resume_download=kwargs.pop("""resume_download"""   ,  _SCREAMING_SNAKE_CASE		)   ,  local_files_only=kwargs.pop("""local_files_only"""   ,  _SCREAMING_SNAKE_CASE		)   ,  use_auth_token=kwargs.pop("""use_auth_token"""   ,  _SCREAMING_SNAKE_CASE		)   ,  revision=kwargs.pop("""revision"""   ,  _SCREAMING_SNAKE_CASE		)   ,  )
     if speaker_embeddings_path is None:
      logger.warning(
          F"`{os.path.join(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)}` 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`."		)
      UpperCAmelCase			:      Optional[int]			=			None
     else:
      with open(_SCREAMING_SNAKE_CASE		) as speaker_embeddings_json:
       UpperCAmelCase			:      List[str]			=			json.load(_SCREAMING_SNAKE_CASE		)
    else:
     UpperCAmelCase			:      List[str]			=			None

    UpperCAmelCase			:      List[Any]			=			AutoTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE   ,  **_SCREAMING_SNAKE_CASE		)

    return cls(tokenizer=_SCREAMING_SNAKE_CASE   ,  speaker_embeddings=_SCREAMING_SNAKE_CASE		)

   def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE="speaker_embeddings_path.json"   ,  _SCREAMING_SNAKE_CASE="speaker_embeddings"   ,  _SCREAMING_SNAKE_CASE = False   ,  **_SCREAMING_SNAKE_CASE   ,  )						->   Union[str, Any]:





    '''simple docstring'''




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

     UpperCAmelCase			:      str			=			{}

     UpperCAmelCase			:      Union[str, Any]			=			save_directory

     for prompt_key in self.speaker_embeddings:
      if prompt_key != "repo_or_path":
       UpperCAmelCase			:      Optional[Any]			=			self._load_voice_preset(_SCREAMING_SNAKE_CASE		)

       UpperCAmelCase			:      Any			=			{}
       for key in self.speaker_embeddings[prompt_key]:
        np.save(
            os.path.join(
                embeddings_dict["""repo_or_path"""]   ,  _SCREAMING_SNAKE_CASE   ,  F"{prompt_key}_{key}"		)   ,  voice_preset[key]   ,  allow_pickle=_SCREAMING_SNAKE_CASE   ,  )
        UpperCAmelCase			:      Optional[int]			=			os.path.join(_SCREAMING_SNAKE_CASE   ,  F"{prompt_key}_{key}.npy"		)

       UpperCAmelCase			:      Tuple			=			tmp_dict

     with open(os.path.join(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)   ,  """w"""		) as fp:
      json.dump(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)

    super().save_pretrained(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  **_SCREAMING_SNAKE_CASE		)

   def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE = None   ,  **_SCREAMING_SNAKE_CASE		)						->   Dict:





    '''simple docstring'''




    UpperCAmelCase			:      Optional[int]			=			self.speaker_embeddings[voice_preset]

    UpperCAmelCase			:      List[Any]			=			{}
    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}]."		)

     UpperCAmelCase			:      List[str]			=			get_file_from_repo(
         self.speaker_embeddings.get("""repo_or_path"""   ,  """/"""		)   ,  voice_preset_paths[key]   ,  subfolder=kwargs.pop("""subfolder"""   ,  _SCREAMING_SNAKE_CASE		)   ,  cache_dir=kwargs.pop("""cache_dir"""   ,  _SCREAMING_SNAKE_CASE		)   ,  force_download=kwargs.pop("""force_download"""   ,  _SCREAMING_SNAKE_CASE		)   ,  proxies=kwargs.pop("""proxies"""   ,  _SCREAMING_SNAKE_CASE		)   ,  resume_download=kwargs.pop("""resume_download"""   ,  _SCREAMING_SNAKE_CASE		)   ,  local_files_only=kwargs.pop("""local_files_only"""   ,  _SCREAMING_SNAKE_CASE		)   ,  use_auth_token=kwargs.pop("""use_auth_token"""   ,  _SCREAMING_SNAKE_CASE		)   ,  revision=kwargs.pop("""revision"""   ,  _SCREAMING_SNAKE_CASE		)   ,  )
     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."		)

     UpperCAmelCase			:      List[str]			=			np.load(_SCREAMING_SNAKE_CASE		)

    return voice_preset_dict

   def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE = None		)						->   List[str]:





    '''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   ,  _SCREAMING_SNAKE_CASE=None   ,  _SCREAMING_SNAKE_CASE=None   ,  _SCREAMING_SNAKE_CASE="pt"   ,  _SCREAMING_SNAKE_CASE=256   ,  _SCREAMING_SNAKE_CASE=False   ,  _SCREAMING_SNAKE_CASE=True   ,  _SCREAMING_SNAKE_CASE=False   ,  **_SCREAMING_SNAKE_CASE   ,  )						->   Optional[int]:





    '''simple docstring'''




    if voice_preset is not None and not isinstance(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		):
     if (
         isinstance(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)
         and self.speaker_embeddings is not None
         and voice_preset in self.speaker_embeddings
     ):
      UpperCAmelCase			:      Dict			=			self._load_voice_preset(_SCREAMING_SNAKE_CASE		)

     else:
      if isinstance(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		) and not voice_preset.endswith(""".npz"""		):
       UpperCAmelCase			:      Tuple			=			voice_preset + """.npz"""

      UpperCAmelCase			:      Union[str, Any]			=			np.load(_SCREAMING_SNAKE_CASE		)

    if voice_preset is not None:
     self._validate_voice_preset_dict(_SCREAMING_SNAKE_CASE   ,  **_SCREAMING_SNAKE_CASE		)
     UpperCAmelCase			:      List[Any]			=			BatchFeature(data=_SCREAMING_SNAKE_CASE   ,  tensor_type=_SCREAMING_SNAKE_CASE		)

    UpperCAmelCase			:      List[str]			=			self.tokenizer(
        _SCREAMING_SNAKE_CASE   ,  return_tensors=_SCREAMING_SNAKE_CASE   ,  padding="""max_length"""   ,  max_length=_SCREAMING_SNAKE_CASE   ,  return_attention_mask=_SCREAMING_SNAKE_CASE   ,  return_token_type_ids=_SCREAMING_SNAKE_CASE   ,  add_special_tokens=_SCREAMING_SNAKE_CASE   ,  **_SCREAMING_SNAKE_CASE   ,  )

    if voice_preset is not None:
     UpperCAmelCase			:      List[Any]			=			voice_preset

    return encoded_text
