






"""simple docstring"""





import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


UpperCamelCase_	:				Dict										= (
    """https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py"""
)


UpperCamelCase_	:				Union[str, Any]										= logging.get_logger(__name__)  # pylint: disable=invalid-name



def     __lowercase					(    )					->					Optional[int]:
      __snake_case      :    str  			='''https://pypi.org/pypi/diffusers/json'''
      __snake_case      :    Optional[int]  			=json.loads(request.urlopen(a ).read() )['''releases'''].keys()
      return sorted(a       ,		key=lambda a : version.Version(a ) )



def     __lowercase					(    )					->					List[Any]:
      # This function has already been executed if HF_MODULES_CACHE already is in the Python path.
      if HF_MODULES_CACHE in sys.path:
            return

      sys.path.append(a )
      os.makedirs(a       ,		exist_ok=a )
      __snake_case      :    Tuple  			=Path(a ) / '''__init__.py'''
      if not init_path.exists():
            init_path.touch()



def     __lowercase					(    a :				Union[str, os.PathLike] )					->					Union[str, Any]:
      init_hf_modules()
      __snake_case      :    Optional[int]  			=Path(a ) / name
      # If the parent module does not exist yet, recursively create it.
      if not dynamic_module_path.parent.exists():
            create_dynamic_module(dynamic_module_path.parent )
      os.makedirs(a       ,		exist_ok=a )
      __snake_case      :    List[Any]  			=dynamic_module_path / '''__init__.py'''
      if not init_path.exists():
            init_path.touch()



def     __lowercase					(    a :				int )					->					str:
      with open(a       ,		'''r'''       ,		encoding='''utf-8''' ) as f:
            __snake_case      :    List[str]  			=f.read()

      # Imports of the form `import .xxx`
      __snake_case      :    Dict  			=re.findall('''^\s*import\s+\.(\S+)\s*$'''       ,		a       ,		flags=re.MULTILINE )
      # Imports of the form `from .xxx import yyy`
      relative_imports += re.findall('''^\s*from\s+\.(\S+)\s+import'''       ,		a       ,		flags=re.MULTILINE )
      # Unique-ify
      return list(set(a ) )



def     __lowercase					(    a :				Optional[Any] )					->					Union[str, Any]:
      __snake_case      :    Tuple  			=False
      __snake_case      :    int  			=[module_file]
      __snake_case      :    Optional[Any]  			=[]

      # Let's recurse through all relative imports
      while not no_change:
            __snake_case      :    Dict  			=[]
            for f in files_to_check:
                  new_imports.extend(get_relative_imports(a ) )

            __snake_case      :    List[str]  			=Path(a ).parent
            __snake_case      :    Any  			=[str(module_path / m ) for m in new_imports]
            __snake_case      :    Union[str, Any]  			=[f for f in new_import_files if f not in all_relative_imports]
            __snake_case      :    Optional[Any]  			=[f'''{f}.py''' for f in new_import_files]

            __snake_case      :    Any  			=len(a ) == 0
            all_relative_imports.extend(a )

      return all_relative_imports



def     __lowercase					(    a :				Optional[int] )					->					Optional[int]:
      with open(a       ,		'''r'''       ,		encoding='''utf-8''' ) as f:
            __snake_case      :    int  			=f.read()

      # Imports of the form `import xxx`
      __snake_case      :    Optional[int]  			=re.findall('''^\s*import\s+(\S+)\s*$'''       ,		a       ,		flags=re.MULTILINE )
      # Imports of the form `from xxx import yyy`
      imports += re.findall('''^\s*from\s+(\S+)\s+import'''       ,		a       ,		flags=re.MULTILINE )
      # Only keep the top-level module
      __snake_case      :    Optional[int]  			=[imp.split('''.''' )[0] for imp in imports if not imp.startswith('''.''' )]

      # Unique-ify and test we got them all
      __snake_case      :    List[Any]  			=list(set(a ) )
      __snake_case      :    Optional[int]  			=[]
      for imp in imports:
            try:
                  importlib.import_module(a )
            except ImportError:
                  missing_packages.append(a )

      if len(a ) > 0:
            raise ImportError(
                '''This modeling file requires the following packages that were not found in your environment: '''
                f'''{", ".join(a )}. Run `pip install {" ".join(a )}`''' )

      return get_relative_imports(a )



def     __lowercase					(    a :				Dict       ,		a :				Dict )					->					Any:
      __snake_case      :    List[Any]  			=module_path.replace(os.path.sep       ,		'''.''' )
      __snake_case      :    Union[str, Any]  			=importlib.import_module(a )

      if class_name is None:
            return find_pipeline_class(a )
      return getattr(a       ,		a )



def     __lowercase					(    a :				Dict )					->					Tuple:
      from ..pipelines import DiffusionPipeline

      __snake_case      :    str  			=dict(inspect.getmembers(a       ,		inspect.isclass ) )

      __snake_case      :    Tuple  			=None
      for cls_name, cls in cls_members.items():
            if (
                cls_name != DiffusionPipeline.__name__
                and issubclass(cls       ,		a )
                and cls.__module__.split('''.''' )[0] != "diffusers"
            ):
                  if pipeline_class is not None:
                        raise ValueError(
                            f'''Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:'''
                            f''' {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in'''
                            f''' {loaded_module}.''' )
                  __snake_case      :    List[Any]  			=cls

      return pipeline_class



def     __lowercase					(    a :				Union[str, os.PathLike]       ,		a :				str       ,		a :				Optional[Union[str, os.PathLike]] = None       ,		a :				bool = False       ,		a :				bool = False       ,		a :				Optional[Dict[str, str]] = None       ,		a :				Optional[Union[bool, str]] = None       ,		a :				Optional[str] = None       ,		a :				bool = False       ,		)					->					Optional[int]:
      __snake_case      :    Optional[Any]  			=str(a )

      __snake_case      :    Optional[Any]  			=os.path.join(a       ,		a )

      if os.path.isfile(a ):
            __snake_case      :    Tuple  			=module_file_or_url
            __snake_case      :    int  			='''local'''
      elif pretrained_model_name_or_path.count('''/''' ) == 0:
            __snake_case      :    List[str]  			=get_diffusers_versions()
            # cut ".dev0"
            __snake_case      :    Union[str, Any]  			='''v''' + '''.'''.join(__version__.split('''.''' )[:3] )

            # retrieve github version that matches
            if revision is None:
                  __snake_case      :    Tuple  			=latest_version if latest_version[1:] in available_versions else '''main'''
                  logger.info(f'''Defaulting to latest_version: {revision}.''' )
            elif revision in available_versions:
                  __snake_case      :    Union[str, Any]  			=f'''v{revision}'''
            elif revision == "main":
                  __snake_case      :    Tuple  			=revision
            else:
                  raise ValueError(
                      f'''`custom_revision`: {revision} does not exist. Please make sure to choose one of'''
                      f''' {", ".join(available_versions + ["main"] )}.''' )

            # community pipeline on GitHub
            __snake_case      :    Optional[int]  			=COMMUNITY_PIPELINES_URL.format(revision=a       ,		pipeline=a )
            try:
                  __snake_case      :    List[str]  			=cached_download(
                      a       ,		cache_dir=a       ,		force_download=a       ,		proxies=a       ,		resume_download=a       ,		local_files_only=a       ,		use_auth_token=a       ,		)
                  __snake_case      :    List[Any]  			='''git'''
                  __snake_case      :    Tuple  			=pretrained_model_name_or_path + '''.py'''
            except EnvironmentError:
                  logger.error(f'''Could not locate the {module_file} inside {pretrained_model_name_or_path}.''' )
                  raise
      else:
            try:
                  # Load from URL or cache if already cached
                  __snake_case      :    str  			=hf_hub_download(
                      a       ,		a       ,		cache_dir=a       ,		force_download=a       ,		proxies=a       ,		resume_download=a       ,		local_files_only=a       ,		use_auth_token=a       ,		)
                  __snake_case      :    List[str]  			=os.path.join('''local'''       ,		'''--'''.join(pretrained_model_name_or_path.split('''/''' ) ) )
            except EnvironmentError:
                  logger.error(f'''Could not locate the {module_file} inside {pretrained_model_name_or_path}.''' )
                  raise

    # Check we have all the requirements in our environment
      __snake_case      :    Dict  			=check_imports(a )

      # Now we move the module inside our cached dynamic modules.
      __snake_case      :    List[Any]  			=DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
      create_dynamic_module(a )
      __snake_case      :    str  			=Path(a ) / full_submodule
      if submodule == "local" or submodule == "git":
            # We always copy local files (we could hash the file to see if there was a change, and give them the name of
            # that hash, to only copy when there is a modification but it seems overkill for now).
            # The only reason we do the copy is to avoid putting too many folders in sys.path.
            shutil.copy(a       ,		submodule_path / module_file )
            for module_needed in modules_needed:
                  __snake_case      :    Union[str, Any]  			=f'''{module_needed}.py'''
                  shutil.copy(os.path.join(a       ,		a )       ,		submodule_path / module_needed )
      else:
            # Get the commit hash
            # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
            if isinstance(a       ,		a ):
                  __snake_case      :    List[str]  			=use_auth_token
            elif use_auth_token is True:
                  __snake_case      :    str  			=HfFolder.get_token()
            else:
                  __snake_case      :    Tuple  			=None

            __snake_case      :    List[str]  			=model_info(a       ,		revision=a       ,		token=a ).sha

            # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
            # benefit of versioning.
            __snake_case      :    int  			=submodule_path / commit_hash
            __snake_case      :    Optional[Any]  			=full_submodule + os.path.sep + commit_hash
            create_dynamic_module(a )

            if not (submodule_path / module_file).exists():
                  shutil.copy(a       ,		submodule_path / module_file )
            # Make sure we also have every file with relative
            for module_needed in modules_needed:
                  if not (submodule_path / module_needed).exists():
                        get_cached_module_file(
                            a       ,		f'''{module_needed}.py'''       ,		cache_dir=a       ,		force_download=a       ,		resume_download=a       ,		proxies=a       ,		use_auth_token=a       ,		revision=a       ,		local_files_only=a       ,		)
      return os.path.join(a       ,		a )



def     __lowercase					(    a :				Union[str, os.PathLike]       ,		a :				str       ,		a :				Optional[str] = None       ,		a :				Optional[Union[str, os.PathLike]] = None       ,		a :				bool = False       ,		a :				bool = False       ,		a :				Optional[Dict[str, str]] = None       ,		a :				Optional[Union[bool, str]] = None       ,		a :				Optional[str] = None       ,		a :				bool = False       ,		**a :				Optional[int]       ,		)					->					Dict:
      __snake_case      :    Dict  			=get_cached_module_file(
          a       ,		a       ,		cache_dir=a       ,		force_download=a       ,		resume_download=a       ,		proxies=a       ,		use_auth_token=a       ,		revision=a       ,		local_files_only=a       ,		)
      return get_class_in_module(a       ,		final_module.replace('''.py'''       ,		'''''' ) )










"""simple docstring"""





import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


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

UpperCamelCase_	:				Union[str, Any]										= {"""vocab_file""": """sentencepiece.bpe.model"""}

UpperCamelCase_	:				Optional[Any]										= {
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
}

UpperCamelCase_	:				int										= {
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

UpperCamelCase_	:				Optional[int]										= """▁"""


class      _lowercase (     lowerCAmelCase						):
      _a   :     int								=   VOCAB_FILES_NAMES
      _a   :     int								=   PRETRAINED_VOCAB_FILES_MAP
      _a   :     Union[str, Any]								=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _a   :     Optional[int]								=   ['''input_ids''', '''attention_mask''']


      def __init__(    self				:	str							,   a				:	Optional[Any]							,   a				:	Optional[Any]="<s>"							,   a				:	Dict="</s>"							,   a				:	Any="</s>"							,   a				:	Optional[int]="<s>"							,   a				:	Optional[Any]="<unk>"							,   a				:	int="<pad>"							,   a				:	Tuple="<mask>"							,   a				:	Optional[Dict[str, Any]] = None							,   **a				:	List[Any]							,   ):





            """simple docstring"""







            __snake_case      :    Dict  			=AddedToken(a							,   lstrip=a							,   rstrip=a						) if isinstance(a							,   a						) else mask_token

            __snake_case      :    List[str]  			={} if sp_model_kwargs is None else sp_model_kwargs

            super().__init__(
                bos_token=a							,   eos_token=a							,   unk_token=a							,   sep_token=a							,   cls_token=a							,   pad_token=a							,   mask_token=a							,   sp_model_kwargs=self.sp_model_kwargs							,   **a							,   )

            __snake_case      :    Optional[int]  			=vocab_file
            __snake_case      :    Dict  			=spm.SentencePieceProcessor(**self.sp_model_kwargs						)
            self.sp_model.Load(str(a						)						)

            __snake_case      :    Optional[Any]  			={'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

            __snake_case      :    Optional[int]  			=len(self.sp_model						) - 1
            __snake_case      :    Union[str, Any]  			={v: k for k, v in self.fairseq_tokens_to_ids.items()}


      def _UpperCamelCase						(    self				:	Tuple							,   a				:	List[int]							,   a				:	Optional[List[int]] = None						):





            """simple docstring"""







            if token_ids_a is None:
                  return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            __snake_case      :    Dict  			=[self.cls_token_id]
            __snake_case      :    List[str]  			=[self.sep_token_id]
            return cls + token_ids_a + sep + sep + token_ids_a + sep


      def _UpperCamelCase						(    self				:	str							,   a				:	List[int]							,   a				:	Optional[List[int]] = None							,   a				:	bool = False						):





            """simple docstring"""







            if already_has_special_tokens:
                  return super().get_special_tokens_mask(
                      token_ids_a=a							,   token_ids_a=a							,   already_has_special_tokens=a						)

            if token_ids_a is None:
                  return [1] + ([0] * len(a						)) + [1]
            return [1] + ([0] * len(a						)) + [1, 1] + ([0] * len(a						)) + [1]


      def _UpperCamelCase						(    self				:	Dict							,   a				:	List[int]							,   a				:	Optional[List[int]] = None						):





            """simple docstring"""







            __snake_case      :    Optional[int]  			=[self.sep_token_id]
            __snake_case      :    int  			=[self.cls_token_id]

            if token_ids_a is None:
                  return len(cls + token_ids_a + sep						) * [0]
            return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]


      @property
      def _UpperCamelCase						(    self				:	List[Any]						):





            """simple docstring"""







            return len(self.sp_model						)


      def _UpperCamelCase						(    self				:	Union[str, Any]						):





            """simple docstring"""







            __snake_case      :    List[Any]  			={self.convert_ids_to_tokens(a						): i for i in range(self.vocab_size						)}
            vocab.update(self.added_tokens_encoder						)
            return vocab


      def _UpperCamelCase						(    self				:	str							,   a				:	str						):





            """simple docstring"""







            return self.sp_model.encode(a							,   out_type=a						)


      def _UpperCamelCase						(    self				:	int							,   a				:	Union[str, Any]						):





            """simple docstring"""







            if token in self.fairseq_tokens_to_ids:
                  return self.fairseq_tokens_to_ids[token]
            __snake_case      :    List[Any]  			=self.sp_model.PieceToId(a						)

            return spm_id if spm_id else self.unk_token_id


      def _UpperCamelCase						(    self				:	List[str]							,   a				:	Dict						):





            """simple docstring"""







            if index in self.fairseq_ids_to_tokens:
                  return self.fairseq_ids_to_tokens[index]
            return self.sp_model.IdToPiece(a						)


      def _UpperCamelCase						(    self				:	Optional[int]							,   a				:	int						):





            """simple docstring"""







            __snake_case      :    int  			=[]
            __snake_case      :    Optional[int]  			=''''''
            __snake_case      :    Optional[int]  			=False
            for token in tokens:
                  # make sure that special tokens are not decoded using sentencepiece model
                  if token in self.all_special_tokens:
                        if not prev_is_special:
                              out_string += " "
                        out_string += self.sp_model.decode(a						) + token
                        __snake_case      :    str  			=True
                        __snake_case      :    int  			=[]
                  else:
                        current_sub_tokens.append(a						)
                        __snake_case      :    Tuple  			=False
            out_string += self.sp_model.decode(a						)
            return out_string.strip()


      def __getstate__(    self				:	Optional[int]						):





            """simple docstring"""







            __snake_case      :    List[Any]  			=self.__dict__.copy()
            __snake_case      :    Optional[Any]  			=None
            return state


      def __setstate__(    self				:	Optional[int]							,   a				:	Optional[Any]						):





            """simple docstring"""







            __snake_case      :    Any  			=d

            # for backward compatibility
            if not hasattr(self							,   '''sp_model_kwargs'''						):
                  __snake_case      :    Tuple  			={}

            __snake_case      :    int  			=spm.SentencePieceProcessor(**self.sp_model_kwargs						)
            self.sp_model.Load(self.vocab_file						)







      def _UpperCamelCase						(    self				:	Optional[Any]							,   a				:	str							,   a				:	Optional[str] = None						):





            """simple docstring"""







            if not os.path.isdir(a						):
                  logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
                  return
            __snake_case      :    int  			=os.path.join(
                a							,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)

            if os.path.abspath(self.vocab_file						) != os.path.abspath(a						) and os.path.isfile(self.vocab_file						):
                  copyfile(self.vocab_file							,   a						)
            elif not os.path.isfile(self.vocab_file						):
                  with open(a							,   '''wb'''						) as fi:
                        __snake_case      :    List[Any]  			=self.sp_model.serialized_model_proto()
                        fi.write(a						)

            return (out_vocab_file,)


