





'''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


UpperCAmelCase_					:   Optional[Any] 							=						logging.get_logger(__name__)





class      lowercase__    (							_UpperCamelCase  ):
  __UpperCamelCase	     =  """AutoTokenizer"""
  __UpperCamelCase	     =  ["""tokenizer"""]

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







  def __init__(	self    ,						_lowercase    ,						_lowercase=None						):
       super().__init__(_lowercase						)

       lowerCAmelCase_					:       str    =		speaker_embeddings







  @classmethod
  def 	UpperCAmelCase__		(	cls    ,						_lowercase    ,						_lowercase="speaker_embeddings_path.json"    ,						**_lowercase						):

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

       lowerCAmelCase_					:       Tuple    =		AutoTokenizer.from_pretrained(_lowercase    ,						**_lowercase						)

       return cls(tokenizer=_lowercase    ,						speaker_embeddings=_lowercase						)







  def 	UpperCAmelCase__		(	self    ,						_lowercase    ,						_lowercase="speaker_embeddings_path.json"    ,						_lowercase="speaker_embeddings"    ,						_lowercase = False    ,						**_lowercase    ,						):
       if self.speaker_embeddings is not None:
            os.makedirs(os.path.join(_lowercase    ,						_lowercase    ,						"""v2"""						)    ,						exist_ok=_lowercase						)

            lowerCAmelCase_					:       Tuple    =		{}

            lowerCAmelCase_					:       Tuple    =		save_directory

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

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

                      lowerCAmelCase_					:       Tuple    =		tmp_dict

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

       super().save_pretrained(_lowercase    ,						_lowercase    ,						**_lowercase						)







  def 	UpperCAmelCase__		(	self    ,						_lowercase = None    ,						**_lowercase						):
       lowerCAmelCase_					:       List[str]    =		self.speaker_embeddings[voice_preset]

       lowerCAmelCase_					:       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}].'						)

            lowerCAmelCase_					:       Tuple    =		get_file_from_repo(
                self.speaker_embeddings.get("""repo_or_path"""    ,						"""/"""						)    ,						voice_preset_paths[key]    ,						subfolder=kwargs.pop("""subfolder"""    ,						_lowercase						)    ,						cache_dir=kwargs.pop("""cache_dir"""    ,						_lowercase						)    ,						force_download=kwargs.pop("""force_download"""    ,						_lowercase						)    ,						proxies=kwargs.pop("""proxies"""    ,						_lowercase						)    ,						resume_download=kwargs.pop("""resume_download"""    ,						_lowercase						)    ,						local_files_only=kwargs.pop("""local_files_only"""    ,						_lowercase						)    ,						use_auth_token=kwargs.pop("""use_auth_token"""    ,						_lowercase						)    ,						revision=kwargs.pop("""revision"""    ,						_lowercase						)    ,						)
            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.'						)

            lowerCAmelCase_					:       Optional[int]    =		np.load(_lowercase						)

       return voice_preset_dict







  def 	UpperCAmelCase__		(	self    ,						_lowercase = None						):
       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    ,						_lowercase=None    ,						_lowercase=None    ,						_lowercase="pt"    ,						_lowercase=256    ,						_lowercase=False    ,						_lowercase=True    ,						_lowercase=False    ,						**_lowercase    ,						):
       if voice_preset is not None and not isinstance(_lowercase    ,						_lowercase						):
            if (
                isinstance(_lowercase    ,						_lowercase						)
                and self.speaker_embeddings is not None
                and voice_preset in self.speaker_embeddings
            ):
                 lowerCAmelCase_					:       Dict    =		self._load_voice_preset(_lowercase						)

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

                 lowerCAmelCase_					:       Dict    =		np.load(_lowercase						)

       if voice_preset is not None:
            self._validate_voice_preset_dict(_lowercase    ,						**_lowercase						)
            lowerCAmelCase_					:       List[str]    =		BatchFeature(data=_lowercase    ,						tensor_type=_lowercase						)

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

       if voice_preset is not None:
            lowerCAmelCase_					:       int    =		voice_preset

       return encoded_text







import argparse
import glob
import importlib.util
import os
import re

import black
from doc_builder.style_doc import style_docstrings_in_code


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
UpperCAmelCase_					:   Tuple 							=						"""src/diffusers"""
UpperCAmelCase_					:   str 							=						"""."""


# This is to make sure the diffusers module imported is the one in the repo.
UpperCAmelCase_					:   Any 							=						importlib.util.spec_from_file_location(
    """diffusers""",
    os.path.join(DIFFUSERS_PATH, """__init__.py"""),
    submodule_search_locations=[DIFFUSERS_PATH],
)
UpperCAmelCase_					:   Union[str, Any] 							=						spec.loader.load_module()






def 							_lowerCAmelCase (  _a   :					Optional[int]					,   _a   :					Optional[int]			)	->			Tuple:
     return line.startswith(_a			) or len(_a			) <= 1 or re.search(R"""^\s*\)(\s*->.*:|:)\s*$"""					,   _a			) is not None






def 							_lowerCAmelCase (  _a   :					List[Any]			)	->			int:
     lowerCAmelCase_					:       List[str]    =		object_name.split("""."""			)
     lowerCAmelCase_					:       List[Any]    =		0

     # First let's find the module where our object lives.
     lowerCAmelCase_					:       Optional[int]    =		parts[i]
     while i < len(_a			) and not os.path.isfile(os.path.join(_a					,   F'{module}.py'			)			):
          i += 1
          if i < len(_a			):
               lowerCAmelCase_					:       Dict    =		os.path.join(_a					,   parts[i]			)
     if i >= len(_a			):
          raise ValueError(F'`object_name` should begin with the name of a module of diffusers but got {object_name}.'			)

     with open(os.path.join(_a					,   F'{module}.py'			)					,   """r"""					,   encoding="""utf-8"""					,   newline="""\n"""			) as f:
          lowerCAmelCase_					:       Union[str, Any]    =		f.readlines()

     # Now let's find the class / func in the code!
     lowerCAmelCase_					:       List[Any]    =		""""""
     lowerCAmelCase_					:       Optional[int]    =		0
     for name in parts[i + 1 :]:
          while (
              line_index < len(_a			) and re.search(RF'^{indent}(class|def)\s+{name}(\(|\:)'					,   lines[line_index]			) is None
          ):
               line_index += 1
          indent += "    "
          line_index += 1

     if line_index >= len(_a			):
          raise ValueError(F' {object_name} does not match any function or class in {module}.'			)

     # We found the beginning of the class / func, now let's find the end (when the indent diminishes).
     lowerCAmelCase_					:       str    =		line_index
     while line_index < len(_a			) and _should_continue(lines[line_index]					,   _a			):
          line_index += 1
     # Clean up empty lines at the end (if any).
     while len(lines[line_index - 1]			) <= 1:
          line_index -= 1

     lowerCAmelCase_					:       int    =		lines[start_index:line_index]
     return "".join(_a			)


UpperCAmelCase_					:   str 							=						re.compile(r"""^(\s*)#\s*Copied from\s+diffusers\.(\S+\.\S+)\s*($|\S.*$)""")
UpperCAmelCase_					:   int 							=						re.compile(r"""^\s*(\S+)->(\S+)(\s+.*|$)""")
UpperCAmelCase_					:   List[str] 							=						re.compile(r"""<FILL\s+[^>]*>""")






def 							_lowerCAmelCase (  _a   :					Dict			)	->			List[Any]:
     lowerCAmelCase_					:       int    =		code.split("""\n"""			)
     lowerCAmelCase_					:       Any    =		0
     while idx < len(_a			) and len(lines[idx]			) == 0:
          idx += 1
     if idx < len(_a			):
          return re.search(R"""^(\s*)\S"""					,   lines[idx]			).groups()[0]
     return ""






def 							_lowerCAmelCase (  _a   :					Optional[int]			)	->			Union[str, Any]:
     lowerCAmelCase_					:       Tuple    =		len(get_indent(_a			)			) > 0
     if has_indent:
          lowerCAmelCase_					:       Union[str, Any]    =		F'class Bla:\n{code}'
     lowerCAmelCase_					:       Tuple    =		black.Mode(target_versions={black.TargetVersion.PYaa}					,   line_length=1_19					,   preview=_a			)
     lowerCAmelCase_					:       str    =		black.format_str(_a					,   mode=_a			)
     lowerCAmelCase_   ,  lowerCAmelCase_					:       List[str]    =		style_docstrings_in_code(_a			)
     return result[len("""class Bla:\n"""			) :] if has_indent else result






def 							_lowerCAmelCase (  _a   :					Tuple					,   _a   :					str=False			)	->			Tuple:
     with open(_a					,   """r"""					,   encoding="""utf-8"""					,   newline="""\n"""			) as f:
          lowerCAmelCase_					:       List[str]    =		f.readlines()
     lowerCAmelCase_					:       Union[str, Any]    =		[]
     lowerCAmelCase_					:       Dict    =		0
     # Not a for loop cause `lines` is going to change (if `overwrite=True`).
     while line_index < len(_a			):
          lowerCAmelCase_					:       str    =		_re_copy_warning.search(lines[line_index]			)
          if search is None:
               line_index += 1
               continue

          # There is some copied code here, let's retrieve the original.
          lowerCAmelCase_   ,  lowerCAmelCase_   ,  lowerCAmelCase_					:       str    =		search.groups()
          lowerCAmelCase_					:       List[Any]    =		find_code_in_diffusers(_a			)
          lowerCAmelCase_					:       Tuple    =		get_indent(_a			)

          lowerCAmelCase_					:       Union[str, Any]    =		line_index + 1 if indent == theoretical_indent else line_index + 2
          lowerCAmelCase_					:       str    =		theoretical_indent
          lowerCAmelCase_					:       Tuple    =		start_index

          # Loop to check the observed code, stop when indentation diminishes or if we see a End copy comment.
          lowerCAmelCase_					:       List[Any]    =		True
          while line_index < len(_a			) and should_continue:
               line_index += 1
               if line_index >= len(_a			):
                    break
               lowerCAmelCase_					:       List[Any]    =		lines[line_index]
               lowerCAmelCase_					:       Tuple    =		_should_continue(_a					,   _a			) and re.search(F'^{indent}# End copy'					,   _a			) is None
          # Clean up empty lines at the end (if any).
          while len(lines[line_index - 1]			) <= 1:
               line_index -= 1

          lowerCAmelCase_					:       str    =		lines[start_index:line_index]
          lowerCAmelCase_					:       Optional[Any]    =		"""""".join(_a			)

          # Remove any nested `Copied from` comments to avoid circular copies
          lowerCAmelCase_					:       Optional[int]    =		[line for line in theoretical_code.split("""\n"""			) if _re_copy_warning.search(_a			) is None]
          lowerCAmelCase_					:       str    =		"""\n""".join(_a			)

          # Before comparing, use the `replace_pattern` on the original code.
          if len(_a			) > 0:
               lowerCAmelCase_					:       List[str]    =		replace_pattern.replace("""with"""					,   """"""			).split(""","""			)
               lowerCAmelCase_					:       Any    =		[_re_replace_pattern.search(_a			) for p in patterns]
               for pattern in patterns:
                    if pattern is None:
                         continue
                    lowerCAmelCase_   ,  lowerCAmelCase_   ,  lowerCAmelCase_					:       List[Any]    =		pattern.groups()
                    lowerCAmelCase_					:       Union[str, Any]    =		re.sub(_a					,   _a					,   _a			)
                    if option.strip() == "all-casing":
                         lowerCAmelCase_					:       Dict    =		re.sub(obja.lower()					,   obja.lower()					,   _a			)
                         lowerCAmelCase_					:       Dict    =		re.sub(obja.upper()					,   obja.upper()					,   _a			)

            # Blackify after replacement. To be able to do that, we need the header (class or function definition)
            # from the previous line
               lowerCAmelCase_					:       str    =		blackify(lines[start_index - 1] + theoretical_code			)
               lowerCAmelCase_					:       Optional[Any]    =		theoretical_code[len(lines[start_index - 1]			) :]

          # Test for a diff and act accordingly.
          if observed_code != theoretical_code:
               diffs.append([object_name, start_index]			)
               if overwrite:
                    lowerCAmelCase_					:       Any    =		lines[:start_index] + [theoretical_code] + lines[line_index:]
                    lowerCAmelCase_					:       Dict    =		start_index + 1

     if overwrite and len(_a			) > 0:
          # Warn the user a file has been modified.
          print(F'Detected changes, rewriting {filename}.'			)
          with open(_a					,   """w"""					,   encoding="""utf-8"""					,   newline="""\n"""			) as f:
               f.writelines(_a			)
     return diffs






def 							_lowerCAmelCase (  _a   :					bool = False			)	->			List[Any]:
     lowerCAmelCase_					:       Optional[Any]    =		glob.glob(os.path.join(_a					,   """**/*.py"""			)					,   recursive=_a			)
     lowerCAmelCase_					:       Union[str, Any]    =		[]
     for filename in all_files:
          lowerCAmelCase_					:       Union[str, Any]    =		is_copy_consistent(_a					,   _a			)
          diffs += [F'- {filename}: copy does not match {d[0]} at line {d[1]}' for d in new_diffs]
     if not overwrite and len(_a			) > 0:
          lowerCAmelCase_					:       List[Any]    =		"""\n""".join(_a			)
          raise Exception(
              """Found the following copy inconsistencies:\n"""
              + diff
              + """\nRun `make fix-copies` or `python utils/check_copies.py --fix_and_overwrite` to fix them."""			)


if __name__ == "__main__":
      UpperCAmelCase_					:   Optional[int] 							=						argparse.ArgumentParser()
      parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
      UpperCAmelCase_					:   List[str] 							=						parser.parse_args()

      check_copies(args.fix_and_overwrite)
