






'''simple docstring'''
# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


UpperCamelCase__			=      get_logger(__name__)


class 							_UpperCAmelCase    :
    __lowerCamelCase: List[str]									=     'dummy_data'
    __lowerCamelCase: Any									=     'datasets'
    __lowerCamelCase: int									=     False




    def __init__(      self	:							List[Any]	,  a	:							str	,  a	:							str	,  a	:							Union[Version, str]	,  a	:							Optional[str] = None	,  a	:							bool = False	,  a	:							bool = True	,  a	:							Optional[List[Callable]] = None	,  ):






       '''simple docstring'''






       lowercase_						:     Union[str, Any]							     =  0
       lowercase_						:     Any							     =  dataset_name
       lowercase_						:     Union[str, Any]							     =  cache_dir
       lowercase_						:     List[Any]							     =  use_local_dummy_data
       lowercase_						:     List[Any]							     =  config
       # download_callbacks take a single url as input
       lowercase_						:     List[Callable]							     =  download_callbacks or []
       # if False, it doesn't load existing files and it returns the paths of the dummy files relative
       # to the dummy_data zip file root
       lowercase_						:     Optional[Any]							     =  load_existing_dummy_data

       # TODO(PVP, QL) might need to make this more general
       lowercase_						:     Any							     =  str(a      )
       # to be downloaded
       lowercase_						:     Optional[Any]							     =  None
       lowercase_						:     List[Any]							     =  None




    @property
    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       if self._dummy_file is None:
          lowercase_						:     Optional[int]							     =  self.download_dummy_data()
       return self._dummy_file




    @property
    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       if self.config is not None:
          # structure is dummy / config_name / version_name
          return os.path.join("dummy"	,  self.config.name	,  self.version_name      )
       # structure is dummy / version_name
       return os.path.join("dummy"	,  self.version_name      )




    @property
    def 					lowerCAmelCase__					(      self	:							List[str]      ):






       '''simple docstring'''






       return os.path.join(self.dummy_data_folder	,  "dummy_data.zip"      )




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       lowercase_						:     Optional[Any]							     =  (
           self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
       )

       lowercase_						:     str							     =  cached_path(
           a	,  cache_dir=self.cache_dir	,  extract_compressed_file=a	,  force_extract=a      )

       return os.path.join(a	,  self.dummy_file_name      )




    @property
    def 					lowerCAmelCase__					(      self	:							Any      ):






       '''simple docstring'''






       return os.path.join(self.datasets_scripts_dir	,  self.dataset_name	,  self.dummy_zip_file      )




    @property
    def 					lowerCAmelCase__					(      self	:							str      ):






       '''simple docstring'''






       if self._bucket_url is None:
          lowercase_						:     Union[str, Any]							     =  hf_github_url(self.dataset_name	,  self.dummy_zip_file.replace(os.sep	,  "/"      )      )
       return self._bucket_url




    @property
    def 					lowerCAmelCase__					(      self	:							Tuple      ):






       '''simple docstring'''






       if os.path.isdir(self.dummy_file      ):
          return self.dummy_file
       # else cut off path to file -> example `xsum`.
       return "/".join(self.dummy_file.replace(os.sep	,  "/"      ).split("/"      )[:-1]      )




    def 					lowerCAmelCase__					(      self	:							Optional[Any]	,  a	:							Optional[Any]	,  *a	:							List[str]      ):






       '''simple docstring'''






       if self.load_existing_dummy_data:
          # dummy data is downloaded and tested
          lowercase_						:     List[Any]							     =  self.dummy_file
       else:
          # dummy data cannot be downloaded and only the path to dummy file is returned
          lowercase_						:     List[str]							     =  self.dummy_file_name

       # special case when data_url is a dict
       if isinstance(a	,  a      ):
          return self.create_dummy_data_dict(a	,  a      )
       elif isinstance(a	,  (list, tuple)      ):
          return self.create_dummy_data_list(a	,  a      )
       else:
          return self.create_dummy_data_single(a	,  a      )




    def 					lowerCAmelCase__					(      self	:							List[str]	,  a	:							Optional[int]	,  *a	:							Optional[Any]      ):






       '''simple docstring'''






       return self.download_and_extract(a      )




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






       '''simple docstring'''






       return self.download_and_extract(a      )




    def 					lowerCAmelCase__					(      self	:							List[Any]	,  a	:							List[Any]	,  *a	:							Optional[Any]	,  **a	:							List[str]      ):






       '''simple docstring'''






       return path




    def 					lowerCAmelCase__					(      self	:							str      ):






       '''simple docstring'''






       return {}




    def 					lowerCAmelCase__					(      self	:							int	,  a	:							str	,  a	:							str      ):






       '''simple docstring'''






       lowercase_						:     List[Any]							     =  {}
       for key, single_urls in data_url.items():
          for download_callback in self.download_callbacks:
             if isinstance(a	,  a      ):
                for single_url in single_urls:
                   download_callback(a      )
             else:
                lowercase_						:     Optional[int]							     =  single_urls
                download_callback(a      )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
          if isinstance(a	,  a      ):
             lowercase_						:     Dict							     =  [os.path.join(a	,  urllib.parse.quote_plus(Path(a      ).name      )      ) for x in single_urls]
          else:
             lowercase_						:     List[str]							     =  single_urls
             lowercase_						:     List[Any]							     =  os.path.join(a	,  urllib.parse.quote_plus(Path(a      ).name      )      )
          lowercase_						:     Optional[int]							     =  value

       # make sure that values are unique
       if all(isinstance(a	,  a      ) for i in dummy_data_dict.values()      ) and len(set(dummy_data_dict.values()      )      ) < len(
           dummy_data_dict.values()      ):
          # append key to value to make its name unique
          lowercase_						:     str							     =  {key: value + key for key, value in dummy_data_dict.items()}

       return dummy_data_dict




    def 					lowerCAmelCase__					(      self	:							Dict	,  a	:							Union[str, Any]	,  a	:							Any      ):






       '''simple docstring'''






       lowercase_						:     str							     =  []
       # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
       lowercase_						:     Dict							     =  all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"	,  a      )      ) for url in data_url      )
       lowercase_						:     int							     =  all(
           url.startswith("https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"      ) for url in data_url      )
       if data_url and (is_tf_records or is_pubmed_records):
          lowercase_						:     List[str]							     =  [data_url[0]] * len(a      )
       for single_url in data_url:
          for download_callback in self.download_callbacks:
             download_callback(a      )
          # we force the name of each key to be the last file / folder name of the url path
          # if the url has arguments, we need to encode them with urllib.parse.quote_plus
          lowercase_						:     Optional[Any]							     =  os.path.join(a	,  urllib.parse.quote_plus(single_url.split("/"      )[-1]      )      )
          dummy_data_list.append(a      )
       return dummy_data_list




    def 					lowerCAmelCase__					(      self	:							Any	,  a	:							str	,  a	:							Any      ):






       '''simple docstring'''






       for download_callback in self.download_callbacks:
          download_callback(a      )
       # we force the name of each key to be the last file / folder name of the url path
       # if the url has arguments, we need to encode them with urllib.parse.quote_plus
       lowercase_						:     int							     =  os.path.join(a	,  urllib.parse.quote_plus(data_url.split("/"      )[-1]      )      )
       if os.path.exists(a      ) or not self.load_existing_dummy_data:
          return value
       else:
          # Backward compatibility, maybe deprecate at one point.
          # For many datasets with single url calls to dl_manager.download_and_extract,
          # the dummy_data.zip file is actually the zipped downloaded file
          # while now we expected the dummy_data.zip file to be a directory containing
          # the downloaded file.
          return path_to_dummy_data




    def 					lowerCAmelCase__					(      self	:							int      ):






       '''simple docstring'''






       pass




    def 					lowerCAmelCase__					(      self	:							Dict      ):






       '''simple docstring'''






       pass




    def 					lowerCAmelCase__					(      self	:							List[str]	,  a	:							Union[str, Any]      ):






       '''simple docstring'''






       def _iter_archive_members(a	:							Dict      ):
          # this preserves the order of the members inside the ZIP archive
          lowercase_						:     Optional[Any]							     =  Path(self.dummy_file      ).parent
          lowercase_						:     List[Any]							     =  path.relative_to(a      )
          with ZipFile(self.local_path_to_dummy_data      ) as zip_file:
             lowercase_						:     Optional[int]							     =  zip_file.namelist()
          for member in members:
             if member.startswith(relative_path.as_posix()      ):
                yield dummy_parent_path.joinpath(a      )

       lowercase_						:     Optional[int]							     =  Path(a      )
       lowercase_						:     List[str]							     =  _iter_archive_members(a      ) if self.use_local_dummy_data else path.rglob("*"      )
       for file_path in file_paths:
          if file_path.is_file() and not file_path.name.startswith((".", "__")      ):
             yield file_path.relative_to(a      ).as_posix(), file_path.open("rb"      )





    def 					lowerCAmelCase__					(      self	:							List[str]	,  a	:							Union[str, Any]      ):






       '''simple docstring'''






       if not isinstance(a	,  a      ):
          lowercase_						:     Tuple							     =  [paths]
       for path in paths:
          if os.path.isfile(a      ):
             if os.path.basename(a      ).startswith((".", "__")      ):
                return
             yield path
          else:
             for dirpath, dirnames, filenames in os.walk(a      ):
                if os.path.basename(a      ).startswith((".", "__")      ):
                   continue
                dirnames.sort()
                for filename in sorted(a      ):
                   if filename.startswith((".", "__")      ):
                      continue
                   yield os.path.join(a	,  a      )












'''simple docstring'''
import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)




