


# 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


_snake_case             =     get_logger(__name__)
class 	UpperCAmelCase_					:

   '''simple docstring'''




   __A :      Tuple     		=		"dummy_data"
   __A :      Tuple     		=		"datasets"
   __A :      List[Any]     		=		False






   def __init__(		self						,				__A						,				__A						,				__A						,				__A = None						,				__A = False						,				__A = True						,				__A = None						,				):






     """simple docstring"""





     lowerCamelCase :					Optional[int]    =				0
     lowerCamelCase :					Dict    =				dataset_name
     lowerCamelCase :					Optional[int]    =				cache_dir
     lowerCamelCase :					Union[str, Any]    =				use_local_dummy_data
     lowerCamelCase :					Any    =				config
     # download_callbacks take a single url as input
     lowerCamelCase :					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
     lowerCamelCase :					Any    =				load_existing_dummy_data

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






   @property
   def _snake_case    (		self ):






     """simple docstring"""





     if self._dummy_file is None:
       lowerCamelCase :					Dict    =				self.download_dummy_data()
     return self._dummy_file






   @property
   def _snake_case    (		self ):






     """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 _snake_case    (		self ):






     """simple docstring"""





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






   def _snake_case    (		self ):






     """simple docstring"""





     lowerCamelCase :					Dict    =				(
         self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
     )

     lowerCamelCase :					List[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 _snake_case    (		self ):






     """simple docstring"""





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






   @property
   def _snake_case    (		self ):






     """simple docstring"""





     if self._bucket_url is None:
       lowerCamelCase :					Any    =				hf_github_url(self.dataset_name						,				self.dummy_zip_file.replace(os.sep						,				"/" ) )
     return self._bucket_url






   @property
   def _snake_case    (		self ):






     """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 _snake_case    (		self						,				__A						,				*__A ):






     """simple docstring"""





     if self.load_existing_dummy_data:
       # dummy data is downloaded and tested
       lowerCamelCase :					Tuple    =				self.dummy_file
     else:
       # dummy data cannot be downloaded and only the path to dummy file is returned
       lowerCamelCase :					Tuple    =				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 _snake_case    (		self						,				__A						,				*__A ):






     """simple docstring"""





     return self.download_and_extract(__A )






   def _snake_case    (		self						,				__A						,				__A ):






     """simple docstring"""





     return self.download_and_extract(__A )






   def _snake_case    (		self						,				__A						,				*__A						,				**__A ):






     """simple docstring"""





     return path






   def _snake_case    (		self ):






     """simple docstring"""





     return {}






   def _snake_case    (		self						,				__A						,				__A ):






     """simple docstring"""





     lowerCamelCase :					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:
           lowerCamelCase :					Any    =				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 ):
         lowerCamelCase :					List[str]    =				[os.path.join(__A						,				urllib.parse.quote_plus(Path(__A ).name ) ) for x in single_urls]
       else:
         lowerCamelCase :					Any    =				single_urls
         lowerCamelCase :					Optional[int]    =				os.path.join(__A						,				urllib.parse.quote_plus(Path(__A ).name ) )
       lowerCamelCase :					Any    =				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
       lowerCamelCase :					str    =				{key: value + key for key, value in dummy_data_dict.items()}

     return dummy_data_dict






   def _snake_case    (		self						,				__A						,				__A ):






     """simple docstring"""





     lowerCamelCase :					str    =				[]
     # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
     lowerCamelCase :					str    =				all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"						,				__A ) ) for url in data_url )
     lowerCamelCase :					Optional[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):
       lowerCamelCase :					Optional[int]    =				[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
       lowerCamelCase :					Optional[int]    =				os.path.join(__A						,				urllib.parse.quote_plus(single_url.split("/" )[-1] ) )
       dummy_data_list.append(__A )
     return dummy_data_list






   def _snake_case    (		self						,				__A						,				__A ):






     """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
     lowerCamelCase :					Optional[Any]    =				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 _snake_case    (		self ):






     """simple docstring"""





     pass






   def _snake_case    (		self ):






     """simple docstring"""





     pass






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





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

     lowerCamelCase :					Optional[Any]    =				Path(__A )
     lowerCamelCase :					Optional[Any]    =				_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 _snake_case    (		self						,				__A ):






     """simple docstring"""





     if not isinstance(__A						,				__A ):
       lowerCamelCase :					List[Any]    =				[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 )







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_snake_case             =     {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case             =     ['''VisionEncoderDecoderModel''']

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case             =     ['''TFVisionEncoderDecoderModel''']

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _snake_case             =     ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
   from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
   import sys

   _snake_case             =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



