"""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, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


__UpperCamelCase									=			logging.get_logger(__name__)

__UpperCamelCase									=			'''▁'''

__UpperCamelCase									=			{'''vocab_file''': '''sentencepiece.bpe.model'''}

__UpperCamelCase									=			{
    '''vocab_file''': {
        '''facebook/mbart-large-50-one-to-many-mmt''': (
            '''https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model'''
        ),
    }
}

__UpperCamelCase									=			{
    '''facebook/mbart-large-50-one-to-many-mmt''': 1024,
}

# fmt: off
__UpperCamelCase									=			['''ar_AR''', '''cs_CZ''', '''de_DE''', '''en_XX''', '''es_XX''', '''et_EE''', '''fi_FI''', '''fr_XX''', '''gu_IN''', '''hi_IN''', '''it_IT''', '''ja_XX''', '''kk_KZ''', '''ko_KR''', '''lt_LT''', '''lv_LV''', '''my_MM''', '''ne_NP''', '''nl_XX''', '''ro_RO''', '''ru_RU''', '''si_LK''', '''tr_TR''', '''vi_VN''', '''zh_CN''', '''af_ZA''', '''az_AZ''', '''bn_IN''', '''fa_IR''', '''he_IL''', '''hr_HR''', '''id_ID''', '''ka_GE''', '''km_KH''', '''mk_MK''', '''ml_IN''', '''mn_MN''', '''mr_IN''', '''pl_PL''', '''ps_AF''', '''pt_XX''', '''sv_SE''', '''sw_KE''', '''ta_IN''', '''te_IN''', '''th_TH''', '''tl_XX''', '''uk_UA''', '''ur_PK''', '''xh_ZA''', '''gl_ES''', '''sl_SI''']




class  UpperCamelCase					(				lowerCAmelCase__   ):
       SCREAMING_SNAKE_CASE_			=      VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE_			=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE_			=      PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE_			=      ["input_ids", "attention_mask"]

       SCREAMING_SNAKE_CASE_			=      []
       SCREAMING_SNAKE_CASE_			=      []







       def __init__( self,							lowerCAmelCase__,							lowerCAmelCase__=None,							lowerCAmelCase__=None,							lowerCAmelCase__="</s>",							lowerCAmelCase__="</s>",							lowerCAmelCase__="<s>",							lowerCAmelCase__="<unk>",							lowerCAmelCase__="<pad>",							lowerCAmelCase__="<mask>",							lowerCAmelCase__ = None,							**lowerCAmelCase__,							)      ->      None:
            # Mask token behave like a normal word, i.e. include the space before it
            snake_case_					       =					AddedToken(lowerCAmelCase__,							lstrip=lowerCAmelCase__,							rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__,							lowerCAmelCase__) else mask_token

            snake_case_					       =					{} if sp_model_kwargs is None else sp_model_kwargs

            snake_case_					       =					kwargs.get('additional_special_tokens',							[])
            kwargs["additional_special_tokens"] += [
                code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
            ]

            super().__init__(
                src_lang=lowerCAmelCase__,							tgt_lang=lowerCAmelCase__,							eos_token=lowerCAmelCase__,							unk_token=lowerCAmelCase__,							sep_token=lowerCAmelCase__,							cls_token=lowerCAmelCase__,							pad_token=lowerCAmelCase__,							mask_token=lowerCAmelCase__,							sp_model_kwargs=self.sp_model_kwargs,							**lowerCAmelCase__,							)

            snake_case_					       =					spm.SentencePieceProcessor(**self.sp_model_kwargs)
            self.sp_model.Load(str(lowerCAmelCase__))
            snake_case_					       =					vocab_file

            # Original fairseq vocab and spm vocab must be "aligned":
            # Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
            # -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
            # fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
            # spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

            # Mimic fairseq token-to-id alignment for the first 4 token
            snake_case_					       =					{'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

            # The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
            snake_case_					       =					1

            snake_case_					       =					len(self.sp_model)
            snake_case_					       =					{
                code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowerCAmelCase__)
            }
            snake_case_					       =					{v: k for k, v in self.lang_code_to_id.items()}
            snake_case_					       =					len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset

            self.fairseq_tokens_to_ids.update(self.lang_code_to_id)
            snake_case_					       =					{v: k for k, v in self.fairseq_tokens_to_ids.items()}

            snake_case_					       =					src_lang if src_lang is not None else 'en_XX'
            snake_case_					       =					self.lang_code_to_id[self._src_lang]
            snake_case_					       =					tgt_lang
            self.set_src_lang_special_tokens(self._src_lang)







       @property
       def 		a_						( self)      ->      int:
            return len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset + 1  # Plus 1 for the mask token







       @property
       def 		a_						( self)      ->      str:
            return self._src_lang







       @src_lang.setter
       def 		a_						( self,							lowerCAmelCase__)      ->      None:
            snake_case_					       =					new_src_lang
            self.set_src_lang_special_tokens(self._src_lang)







       def __getstate__( self)      ->      Dict:
            snake_case_					       =					self.__dict__.copy()
            snake_case_					       =					None
            return state







       def __setstate__( self,							lowerCAmelCase__)      ->      None:
            snake_case_					       =					d

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

            snake_case_					       =					spm.SentencePieceProcessor(**self.sp_model_kwargs)
            self.sp_model.Load(self.vocab_file)







       def 		a_						( self)      ->      Dict:
            snake_case_					       =					{self.convert_ids_to_tokens(lowerCAmelCase__): i for i in range(self.vocab_size)}
            vocab.update(self.added_tokens_encoder)
            return vocab







       def 		a_						( self,							lowerCAmelCase__)      ->      List[str]:
            return self.sp_model.encode(lowerCAmelCase__,							out_type=lowerCAmelCase__)







       def 		a_						( self,							lowerCAmelCase__)      ->      int:
            if token in self.fairseq_tokens_to_ids:
                 return self.fairseq_tokens_to_ids[token]
            snake_case_					       =					self.sp_model.PieceToId(lowerCAmelCase__)

            # Need to return unknown token if the SP model returned 0
            return spm_id + self.fairseq_offset if spm_id else self.unk_token_id







       def 		a_						( self,							lowerCAmelCase__)      ->      str:
            if index in self.fairseq_ids_to_tokens:
                 return self.fairseq_ids_to_tokens[index]
            return self.sp_model.IdToPiece(index - self.fairseq_offset)







       def 		a_						( self,							lowerCAmelCase__)      ->      Tuple:
            snake_case_					       =					[]
            snake_case_					       =					''
            snake_case_					       =					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(lowerCAmelCase__) + token
                      snake_case_					       =					True
                      snake_case_					       =					[]
                 else:
                      current_sub_tokens.append(lowerCAmelCase__)
                      snake_case_					       =					False
            out_string += self.sp_model.decode(lowerCAmelCase__)
            return out_string.strip()







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__ = None)      ->      Tuple[str]:
            if not os.path.isdir(lowerCAmelCase__):
                 logger.error(f'Vocabulary path ({save_directory}) should be a directory')
                 return
            snake_case_					       =					os.path.join(
                lowerCAmelCase__,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

            if os.path.abspath(self.vocab_file) != os.path.abspath(lowerCAmelCase__) and os.path.isfile(self.vocab_file):
                 copyfile(self.vocab_file,							lowerCAmelCase__)
            elif not os.path.isfile(self.vocab_file):
                 with open(lowerCAmelCase__,							'wb') as fi:
                      snake_case_					       =					self.sp_model.serialized_model_proto()
                      fi.write(lowerCAmelCase__)

            return (out_vocab_file,)







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__ = None,							lowerCAmelCase__ = False)      ->      List[int]:

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

            snake_case_					       =					[1] * len(self.prefix_tokens)
            snake_case_					       =					[1] * len(self.suffix_tokens)
            if token_ids_a is None:
                 return prefix_ones + ([0] * len(lowerCAmelCase__)) + suffix_ones
            return prefix_ones + ([0] * len(lowerCAmelCase__)) + ([0] * len(lowerCAmelCase__)) + suffix_ones







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__ = None)      ->      List[int]:
            if token_ids_a is None:
                 return self.prefix_tokens + token_ids_a + self.suffix_tokens
            # We don't expect to process pairs, but leave the pair logic for API consistency
            return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__,							lowerCAmelCase__,							lowerCAmelCase__,							**lowerCAmelCase__)      ->      Optional[int]:
            if src_lang is None or tgt_lang is None:
                 raise ValueError('Translation requires a `src_lang` and a `tgt_lang` for this model')
            snake_case_					       =					src_lang
            snake_case_					       =					self(lowerCAmelCase__,							add_special_tokens=lowerCAmelCase__,							return_tensors=lowerCAmelCase__,							**lowerCAmelCase__)
            snake_case_					       =					self.convert_tokens_to_ids(lowerCAmelCase__)
            snake_case_					       =					tgt_lang_id
            return inputs







       def 		a_						( self,							lowerCAmelCase__,							lowerCAmelCase__ = "en_XX",							lowerCAmelCase__ = None,							lowerCAmelCase__ = "ro_RO",							**lowerCAmelCase__,							)      ->      BatchEncoding:
            snake_case_					       =					src_lang
            snake_case_					       =					tgt_lang
            return super().prepare_seqaseq_batch(lowerCAmelCase__,							lowerCAmelCase__,							**lowerCAmelCase__)







       def 		a_						( self)      ->      Optional[int]:
            return self.set_src_lang_special_tokens(self.src_lang)







       def 		a_						( self)      ->      Tuple:
            return self.set_tgt_lang_special_tokens(self.tgt_lang)







       def 		a_						( self,							lowerCAmelCase__)      ->      None:
            snake_case_					       =					self.lang_code_to_id[src_lang]
            snake_case_					       =					[self.cur_lang_code_id]
            snake_case_					       =					[self.eos_token_id]







       def 		a_						( self,							lowerCAmelCase__)      ->      None:
            snake_case_					       =					self.lang_code_to_id[tgt_lang]
            snake_case_					       =					[self.cur_lang_code_id]
            snake_case_					       =					[self.eos_token_id]









"""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


lowercase_				     =     (
    'https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'
)


lowercase_				     =     logging.get_logger(__name__)  # pylint: disable=invalid-name



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= '''https://pypi.org/pypi/diffusers/json'''
  __A									= json.loads(request.urlopen(__UpperCamelCase ).read() )['''releases'''].keys()
  return sorted(__UpperCamelCase		,       key=lambda __UpperCamelCase : version.Version(__UpperCamelCase ) )



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  if HF_MODULES_CACHE in sys.path:
    return

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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  init_hf_modules()
  __A									= Path(__UpperCamelCase ) / 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(__UpperCamelCase		,       exist_ok=__UpperCamelCase )
  __A									= dynamic_module_path / '''__init__.py'''
  if not init_path.exists():
    init_path.touch()



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  with open(__UpperCamelCase		,       '''r'''		,       encoding='''utf-8''' ) as f:
    __A									= f.read()

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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  __A									= False
  __A									= [module_file]
  __A									= []

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

    __A									= Path(__UpperCamelCase ).parent
    __A									= [str(module_path / m ) for m in new_imports]
    __A									= [f for f in new_import_files if f not in all_relative_imports]
    __A									= [f'{f}.py' for f in new_import_files]

    __A									= len(__UpperCamelCase ) == 0
    all_relative_imports.extend(__UpperCamelCase )

  return all_relative_imports



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  with open(__UpperCamelCase		,       '''r'''		,       encoding='''utf-8''' ) as f:
    __A									= f.read()

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

  # Unique-ify and test we got them all
  __A									= list(set(__UpperCamelCase ) )
  __A									= []
  for imp in imports:
    try:
      importlib.import_module(__UpperCamelCase )
    except ImportError:
      missing_packages.append(__UpperCamelCase )

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

  return get_relative_imports(__UpperCamelCase )



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







  __A									= module_path.replace(os.path.sep		,       '''.''' )
  __A									= importlib.import_module(__UpperCamelCase )

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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  from ..pipelines import DiffusionPipeline

  __A									= dict(inspect.getmembers(__UpperCamelCase		,       inspect.isclass ) )

  __A									= None
  for cls_name, cls in cls_members.items():
    if (
        cls_name != DiffusionPipeline.__name__
        and issubclass(cls		,       __UpperCamelCase )
        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}.' )
      __A									= cls

  return pipeline_class



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       __UpperCamelCase = False		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       ):




  """simple docstring"""







  __A									= str(__UpperCamelCase )

  __A									= os.path.join(__UpperCamelCase		,       __UpperCamelCase )

  if os.path.isfile(__UpperCamelCase ):
    __A									= module_file_or_url
    __A									= '''local'''
  elif pretrained_model_name_or_path.count('''/''' ) == 0:
    __A									= get_diffusers_versions()
    # cut ".dev0"
    __A									= '''v''' + '''.'''.join(__version__.split('''.''' )[:3] )

    # retrieve github version that matches
    if revision is None:
      __A									= latest_version if latest_version[1:] in available_versions else '''main'''
      logger.info(f'Defaulting to latest_version: {revision}.' )
    elif revision in available_versions:
      __A									= f'v{revision}'
    elif revision == "main":
      __A									= 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
    __A									= COMMUNITY_PIPELINES_URL.format(revision=__UpperCamelCase		,       pipeline=__UpperCamelCase )
    try:
      __A									= cached_download(
          __UpperCamelCase		,       cache_dir=__UpperCamelCase		,       force_download=__UpperCamelCase		,       proxies=__UpperCamelCase		,       resume_download=__UpperCamelCase		,       local_files_only=__UpperCamelCase		,       use_auth_token=__UpperCamelCase		,       )
      __A									= '''git'''
      __A									= 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
      __A									= hf_hub_download(
          __UpperCamelCase		,       __UpperCamelCase		,       cache_dir=__UpperCamelCase		,       force_download=__UpperCamelCase		,       proxies=__UpperCamelCase		,       resume_download=__UpperCamelCase		,       local_files_only=__UpperCamelCase		,       use_auth_token=__UpperCamelCase		,       )
      __A									= 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
  __A									= check_imports(__UpperCamelCase )

  # Now we move the module inside our cached dynamic modules.
  __A									= DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
  create_dynamic_module(__UpperCamelCase )
  __A									= Path(__UpperCamelCase ) / 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(__UpperCamelCase		,       submodule_path / module_file )
    for module_needed in modules_needed:
      __A									= f'{module_needed}.py'
      shutil.copy(os.path.join(__UpperCamelCase		,       __UpperCamelCase )		,       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(__UpperCamelCase		,       __UpperCamelCase ):
      __A									= use_auth_token
    elif use_auth_token is True:
      __A									= HfFolder.get_token()
    else:
      __A									= None

    __A									= model_info(__UpperCamelCase		,       revision=__UpperCamelCase		,       token=__UpperCamelCase ).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.
    __A									= submodule_path / commit_hash
    __A									= full_submodule + os.path.sep + commit_hash
    create_dynamic_module(__UpperCamelCase )

    if not (submodule_path / module_file).exists():
      shutil.copy(__UpperCamelCase		,       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(
            __UpperCamelCase		,       f'{module_needed}.py'		,       cache_dir=__UpperCamelCase		,       force_download=__UpperCamelCase		,       resume_download=__UpperCamelCase		,       proxies=__UpperCamelCase		,       use_auth_token=__UpperCamelCase		,       revision=__UpperCamelCase		,       local_files_only=__UpperCamelCase		,       )
  return os.path.join(__UpperCamelCase		,       __UpperCamelCase )





def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       __UpperCamelCase = False		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       **__UpperCamelCase		,       ):




  """simple docstring"""







  __A									= get_cached_module_file(
      __UpperCamelCase		,       __UpperCamelCase		,       cache_dir=__UpperCamelCase		,       force_download=__UpperCamelCase		,       resume_download=__UpperCamelCase		,       proxies=__UpperCamelCase		,       use_auth_token=__UpperCamelCase		,       revision=__UpperCamelCase		,       local_files_only=__UpperCamelCase		,       )
  return get_class_in_module(__UpperCamelCase		,       final_module.replace('''.py'''		,       '''''' ) )




