





import argparse
import os
import re


_lowerCamelCase :    List[Any]  							= '''src/transformers'''

# Pattern that looks at the indentation in a line.
_lowerCamelCase :    Optional[int]  							= re.compile(r'''^(\s*)\S''')
# Pattern that matches `"key":" and puts `key` in group 0.
_lowerCamelCase :    Optional[int]  							= re.compile(r'''^\s*"([^"]+)":''')
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
_lowerCamelCase :    Union[str, Any]  							= re.compile(r'''^\s*_import_structure\["([^"]+)"\]''')
# Pattern that matches `"key",` and puts `key` in group 0.
_lowerCamelCase :    Optional[int]  							= re.compile(r'''^\s*"([^"]+)",\s*$''')
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
_lowerCamelCase :    List[str]  							= re.compile(r'''\[([^\]]+)\]''')




def _a (  SCREAMING_SNAKE_CASE__      :  List[str]       )	->    List[str]:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						_re_indent.search(SCREAMING_SNAKE_CASE__       )
							return "" if search is None else search.groups()[0]




def _a (  SCREAMING_SNAKE_CASE__      :  str			,				SCREAMING_SNAKE_CASE__      :  Dict=""			,				SCREAMING_SNAKE_CASE__      :  Optional[int]=None			,				SCREAMING_SNAKE_CASE__      :  Any=None       )	->    Union[str, Any]:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      Dict     =						0
							SCREAMING_SNAKE_CASE__       :      Any     =						code.split("\n"       )
							if start_prompt is not None:
														while not lines[index].startswith(SCREAMING_SNAKE_CASE__       ):
																					index += 1
														SCREAMING_SNAKE_CASE__       :      Tuple     =						["\n".join(lines[:index]       )]
							else:
														SCREAMING_SNAKE_CASE__       :      Any     =						[]

							# We split into blocks until we get to the `end_prompt` (or the end of the block).
							SCREAMING_SNAKE_CASE__       :      int     =						[lines[index]]
							index += 1
							while index < len(SCREAMING_SNAKE_CASE__       ) and (end_prompt is None or not lines[index].startswith(SCREAMING_SNAKE_CASE__       )):
														if len(lines[index]       ) > 0 and get_indent(lines[index]       ) == indent_level:
																					if len(SCREAMING_SNAKE_CASE__       ) > 0 and get_indent(current_block[-1]       ).startswith(indent_level + " "       ):
																												current_block.append(lines[index]       )
																												blocks.append("\n".join(SCREAMING_SNAKE_CASE__       )       )
																												if index < len(SCREAMING_SNAKE_CASE__       ) - 1:
																																			SCREAMING_SNAKE_CASE__       :      List[str]     =						[lines[index + 1]]
																																			index += 1
																												else:
																																			SCREAMING_SNAKE_CASE__       :      List[str]     =						[]
																					else:
																												blocks.append("\n".join(SCREAMING_SNAKE_CASE__       )       )
																												SCREAMING_SNAKE_CASE__       :      List[str]     =						[lines[index]]
														else:
																					current_block.append(lines[index]       )
														index += 1

							# Adds current block if it's nonempty.
							if len(SCREAMING_SNAKE_CASE__       ) > 0:
														blocks.append("\n".join(SCREAMING_SNAKE_CASE__       )       )

							# Add final block after end_prompt if provided.
							if end_prompt is not None and index < len(SCREAMING_SNAKE_CASE__       ):
														blocks.append("\n".join(lines[index:]       )       )

							return blocks




def _a (  SCREAMING_SNAKE_CASE__      :  Optional[int]       )	->    List[Any]:

							'''simple docstring'''






							def _inner(SCREAMING_SNAKE_CASE__      :  int       ):
														return key(SCREAMING_SNAKE_CASE__       ).lower().replace("_"			,				""       )

							return _inner




def _a (  SCREAMING_SNAKE_CASE__      :  Optional[Any]			,				SCREAMING_SNAKE_CASE__      :  Dict=None       )	->    Dict:

							'''simple docstring'''






							def noop(SCREAMING_SNAKE_CASE__      :  Optional[int]       ):
														return x

							if key is None:
														SCREAMING_SNAKE_CASE__       :      Dict     =						noop
							# Constants are all uppercase, they go first.
							SCREAMING_SNAKE_CASE__       :      Any     =						[obj for obj in objects if key(SCREAMING_SNAKE_CASE__       ).isupper()]
							# Classes are not all uppercase but start with a capital, they go second.
							SCREAMING_SNAKE_CASE__       :      Dict     =						[obj for obj in objects if key(SCREAMING_SNAKE_CASE__       )[0].isupper() and not key(SCREAMING_SNAKE_CASE__       ).isupper()]
							# Functions begin with a lowercase, they go last.
							SCREAMING_SNAKE_CASE__       :      Dict     =						[obj for obj in objects if not key(SCREAMING_SNAKE_CASE__       )[0].isupper()]

							SCREAMING_SNAKE_CASE__       :      str     =						ignore_underscore(SCREAMING_SNAKE_CASE__       )
							return sorted(SCREAMING_SNAKE_CASE__			,				key=SCREAMING_SNAKE_CASE__       ) + sorted(SCREAMING_SNAKE_CASE__			,				key=SCREAMING_SNAKE_CASE__       ) + sorted(SCREAMING_SNAKE_CASE__			,				key=SCREAMING_SNAKE_CASE__       )




def _a (  SCREAMING_SNAKE_CASE__      :  Union[str, Any]       )	->    int:

							'''simple docstring'''






							def _replace(SCREAMING_SNAKE_CASE__      :  List[str]       ):
														SCREAMING_SNAKE_CASE__       :      Tuple     =						match.groups()[0]
														if "," not in imports:
																					return f'''[{imports}]'''
														SCREAMING_SNAKE_CASE__       :      int     =						[part.strip().replace("\""			,				""       ) for part in imports.split(","       )]
														# We will have a final empty element if the line finished with a comma.
														if len(keys[-1]       ) == 0:
																					SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						keys[:-1]
														return "[" + ", ".join([f'''"{k}"''' for k in sort_objects(SCREAMING_SNAKE_CASE__       )]       ) + "]"

							SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						import_statement.split("\n"       )
							if len(SCREAMING_SNAKE_CASE__       ) > 3:
														# Here we have to sort internal imports that are on several lines (one per name):
														# key: [
														#     "object1",
														#     "object2",
														#     ...
														# ]

														# We may have to ignore one or two lines on each side.
														SCREAMING_SNAKE_CASE__       :      Dict     =						2 if lines[1].strip() == "[" else 1
														SCREAMING_SNAKE_CASE__       :      List[str]     =						[(i, _re_strip_line.search(SCREAMING_SNAKE_CASE__       ).groups()[0]) for i, line in enumerate(lines[idx:-idx]       )]
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						sort_objects(SCREAMING_SNAKE_CASE__			,				key=lambda SCREAMING_SNAKE_CASE__       : x[1]       )
														SCREAMING_SNAKE_CASE__       :      Any     =						[lines[x[0] + idx] for x in sorted_indices]
														return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]       )
							elif len(SCREAMING_SNAKE_CASE__       ) == 3:
														# Here we have to sort internal imports that are on one separate line:
														# key: [
														#     "object1", "object2", ...
														# ]
														if _re_bracket_content.search(lines[1]       ) is not None:
																					SCREAMING_SNAKE_CASE__       :      List[str]     =						_re_bracket_content.sub(_replace			,				lines[1]       )
														else:
																					SCREAMING_SNAKE_CASE__       :      List[Any]     =						[part.strip().replace("\""			,				""       ) for part in lines[1].split(","       )]
																					# We will have a final empty element if the line finished with a comma.
																					if len(keys[-1]       ) == 0:
																												SCREAMING_SNAKE_CASE__       :      Tuple     =						keys[:-1]
																					SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						get_indent(lines[1]       ) + ", ".join([f'''"{k}"''' for k in sort_objects(SCREAMING_SNAKE_CASE__       )]       )
														return "\n".join(SCREAMING_SNAKE_CASE__       )
							else:
														# Finally we have to deal with imports fitting on one line
														SCREAMING_SNAKE_CASE__       :      Any     =						_re_bracket_content.sub(_replace			,				SCREAMING_SNAKE_CASE__       )
														return import_statement




def _a (  SCREAMING_SNAKE_CASE__      :  Optional[Any]			,				SCREAMING_SNAKE_CASE__      :  Optional[int]=True       )	->    Optional[Any]:

							'''simple docstring'''






							with open(SCREAMING_SNAKE_CASE__			,				encoding="utf-8"       ) as f:
														SCREAMING_SNAKE_CASE__       :      int     =						f.read()

							if "_import_structure" not in code:
														return

							# Blocks of indent level 0
							SCREAMING_SNAKE_CASE__       :      List[Any]     =						split_code_in_indented_blocks(
							    SCREAMING_SNAKE_CASE__			,				start_prompt="_import_structure = {"			,				end_prompt="if TYPE_CHECKING:"       )

							# We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
							for block_idx in range(1			,				len(SCREAMING_SNAKE_CASE__       ) - 1       ):
														# Check if the block contains some `_import_structure`s thingy to sort.
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						main_blocks[block_idx]
														SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						block.split("\n"       )

														# Get to the start of the imports.
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						0
														while line_idx < len(SCREAMING_SNAKE_CASE__       ) and "_import_structure" not in block_lines[line_idx]:
																					# Skip dummy import blocks
																					if "import dummy" in block_lines[line_idx]:
																												SCREAMING_SNAKE_CASE__       :      Dict     =						len(SCREAMING_SNAKE_CASE__       )
																					else:
																												line_idx += 1
														if line_idx >= len(SCREAMING_SNAKE_CASE__       ):
																					continue

														# Ignore beginning and last line: they don't contain anything.
														SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						"\n".join(block_lines[line_idx:-1]       )
														SCREAMING_SNAKE_CASE__       :      Tuple     =						get_indent(block_lines[1]       )
														# Slit the internal block into blocks of indent level 1.
														SCREAMING_SNAKE_CASE__       :      int     =						split_code_in_indented_blocks(SCREAMING_SNAKE_CASE__			,				indent_level=SCREAMING_SNAKE_CASE__       )
														# We have two categories of import key: list or _import_structure[key].append/extend
														SCREAMING_SNAKE_CASE__       :      int     =						_re_direct_key if "_import_structure = {" in block_lines[0] else _re_indirect_key
														# Grab the keys, but there is a trap: some lines are empty or just comments.
														SCREAMING_SNAKE_CASE__       :      Tuple     =						[(pattern.search(SCREAMING_SNAKE_CASE__       ).groups()[0] if pattern.search(SCREAMING_SNAKE_CASE__       ) is not None else None) for b in internal_blocks]
														# We only sort the lines with a key.
														SCREAMING_SNAKE_CASE__       :      str     =						[(i, key) for i, key in enumerate(SCREAMING_SNAKE_CASE__       ) if key is not None]
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						[x[0] for x in sorted(SCREAMING_SNAKE_CASE__			,				key=lambda SCREAMING_SNAKE_CASE__       : x[1]       )]

														# We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
														SCREAMING_SNAKE_CASE__       :      int     =						0
														SCREAMING_SNAKE_CASE__       :      Dict     =						[]
														for i in range(len(SCREAMING_SNAKE_CASE__       )       ):
																					if keys[i] is None:
																												reorderded_blocks.append(internal_blocks[i]       )
																					else:
																												SCREAMING_SNAKE_CASE__       :      List[str]     =						sort_objects_in_import(internal_blocks[sorted_indices[count]]       )
																												reorderded_blocks.append(SCREAMING_SNAKE_CASE__       )
																												count += 1

        # And we put our main block back together with its first and last line.
														SCREAMING_SNAKE_CASE__       :      int     =						"\n".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]       )

							if code != "\n".join(SCREAMING_SNAKE_CASE__       ):
														if check_only:
																					return True
														else:
																					print(f'''Overwriting {file}.'''       )
																					with open(SCREAMING_SNAKE_CASE__			,				"w"			,				encoding="utf-8"       ) as f:
																												f.write("\n".join(SCREAMING_SNAKE_CASE__       )       )




def _a (  SCREAMING_SNAKE_CASE__      :  List[Any]=True       )	->    Tuple:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						[]
							for root, _, files in os.walk(SCREAMING_SNAKE_CASE__       ):
														if "__init__.py" in files:
																					SCREAMING_SNAKE_CASE__       :      List[Any]     =						sort_imports(os.path.join(SCREAMING_SNAKE_CASE__			,				"__init__.py"       )			,				check_only=SCREAMING_SNAKE_CASE__       )
																					if result:
																												SCREAMING_SNAKE_CASE__       :      Dict     =						[os.path.join(SCREAMING_SNAKE_CASE__			,				"__init__.py"       )]
							if len(SCREAMING_SNAKE_CASE__       ) > 0:
														raise ValueError(f'''Would overwrite {len(SCREAMING_SNAKE_CASE__       )} files, run `make style`.'''       )


if __name__ == "__main__":
		_lowerCamelCase :    Optional[int]  							= argparse.ArgumentParser()
		parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
		_lowerCamelCase :    Any  							= parser.parse_args()

		sort_imports_in_all_inits(check_only=args.check_only)













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


_lowerCamelCase :    Optional[int]  							= logging.get_logger(__name__)


class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""




							UpperCAmelCase_      						=   "AutoTokenizer"
							UpperCAmelCase_      						=   ["tokenizer"]

							UpperCAmelCase_      						=   {
							    "semantic_prompt": 1,
							    "coarse_prompt": 2,
							    "fine_prompt": 2,
							}






							def __init__( self     :					Union[str, Any],			_UpperCAmelCase     :					Optional[int],			_UpperCAmelCase     :					Union[str, Any]=None						)				->			Union[str, Any]:





														"""simple docstring"""
														super().__init__(_UpperCAmelCase						)

														SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						speaker_embeddings






							@classmethod
							def  A_     ( cls     :					Any,			_UpperCAmelCase     :					List[str],			_UpperCAmelCase     :					Dict="speaker_embeddings_path.json",			**_UpperCAmelCase     :					Optional[Any]						)				->			List[Any]:





														"""simple docstring"""

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

														SCREAMING_SNAKE_CASE__       :      List[str]     =						AutoTokenizer.from_pretrained(_UpperCAmelCase,			**_UpperCAmelCase						)

														return cls(tokenizer=_UpperCAmelCase,			speaker_embeddings=_UpperCAmelCase						)






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





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

																					SCREAMING_SNAKE_CASE__       :      Optional[int]     =						{}

																					SCREAMING_SNAKE_CASE__       :      Any     =						save_directory

																					for prompt_key in self.speaker_embeddings:
																												if prompt_key != "repo_or_path":
																																			SCREAMING_SNAKE_CASE__       :      List[Any]     =						self._load_voice_preset(_UpperCAmelCase						)

																																			SCREAMING_SNAKE_CASE__       :      int     =						{}
																																			for key in self.speaker_embeddings[prompt_key]:
																																										np.save(
																																										    os.path.join(
																																										        embeddings_dict["repo_or_path"],			_UpperCAmelCase,			F'''{prompt_key}_{key}'''						),			voice_preset[key],			allow_pickle=_UpperCAmelCase,			)
																																										SCREAMING_SNAKE_CASE__       :      List[str]     =						os.path.join(_UpperCAmelCase,			F'''{prompt_key}_{key}.npy'''						)

																																			SCREAMING_SNAKE_CASE__       :      Optional[int]     =						tmp_dict

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

														super().save_pretrained(_UpperCAmelCase,			_UpperCAmelCase,			**_UpperCAmelCase						)






							def  A_     ( self     :					List[Any],			_UpperCAmelCase     :					str = None,			**_UpperCAmelCase     :					List[Any]						)				->			List[str]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      str     =						self.speaker_embeddings[voice_preset]

														SCREAMING_SNAKE_CASE__       :      Optional[int]     =						{}
														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}].'''						)

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

																					SCREAMING_SNAKE_CASE__       :      int     =						np.load(_UpperCAmelCase						)

														return voice_preset_dict






							def  A_     ( self     :					int,			_UpperCAmelCase     :					Optional[dict] = None						)				->			Optional[int]:





														"""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     :					List[Any],			_UpperCAmelCase     :					Optional[Any]=None,			_UpperCAmelCase     :					Union[str, Any]=None,			_UpperCAmelCase     :					Optional[int]="pt",			_UpperCAmelCase     :					List[str]=2_5_6,			_UpperCAmelCase     :					int=False,			_UpperCAmelCase     :					Optional[int]=True,			_UpperCAmelCase     :					Any=False,			**_UpperCAmelCase     :					List[str],			)				->			List[Any]:





														"""simple docstring"""
														if voice_preset is not None and not isinstance(_UpperCAmelCase,			_UpperCAmelCase						):
																					if (
																					    isinstance(_UpperCAmelCase,			_UpperCAmelCase						)
																					    and self.speaker_embeddings is not None
																					    and voice_preset in self.speaker_embeddings
																					):
																												SCREAMING_SNAKE_CASE__       :      List[str]     =						self._load_voice_preset(_UpperCAmelCase						)

																					else:
																												if isinstance(_UpperCAmelCase,			_UpperCAmelCase						) and not voice_preset.endswith(".npz"						):
																																			SCREAMING_SNAKE_CASE__       :      Optional[int]     =						voice_preset + ".npz"

																												SCREAMING_SNAKE_CASE__       :      List[str]     =						np.load(_UpperCAmelCase						)

														if voice_preset is not None:
																					self._validate_voice_preset_dict(_UpperCAmelCase,			**_UpperCAmelCase						)
																					SCREAMING_SNAKE_CASE__       :      Any     =						BatchFeature(data=_UpperCAmelCase,			tensor_type=_UpperCAmelCase						)

														SCREAMING_SNAKE_CASE__       :      Dict     =						self.tokenizer(
														    _UpperCAmelCase,			return_tensors=_UpperCAmelCase,			padding="max_length",			max_length=_UpperCAmelCase,			return_attention_mask=_UpperCAmelCase,			return_token_type_ids=_UpperCAmelCase,			add_special_tokens=_UpperCAmelCase,			**_UpperCAmelCase,			)

														if voice_preset is not None:
																					SCREAMING_SNAKE_CASE__       :      str     =						voice_preset

														return encoded_text






