


'''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


lowercase__				     =		get_logger(__name__)





class 						__SCREAMING_SNAKE_CASE					:
     UpperCAmelCase 					=				'''dummy_data'''
     UpperCAmelCase 					=				'''datasets'''
     UpperCAmelCase 					=				False






     def __init__(			self     ,							__UpperCamelCase     ,							__UpperCamelCase     ,							__UpperCamelCase     ,							__UpperCamelCase = None     ,							__UpperCamelCase = False     ,							__UpperCamelCase = True     ,							__UpperCamelCase = None     ,							)       ->    Dict:
          _a						=		0
          _a						=		dataset_name
          _a						=		cache_dir
          _a						=		use_local_dummy_data
          _a						=		config
          # download_callbacks take a single url as input
          _a						=		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
          _a						=		load_existing_dummy_data

          # TODO(PVP, QL) might need to make this more general
          _a						=		str(__UpperCamelCase		)
          # to be downloaded
          _a						=		None
          _a						=		None






     @property
     def  a_					(			self		)       ->    Dict:
          if self._dummy_file is None:
               _a						=		self.download_dummy_data()
          return self._dummy_file






     @property
     def  a_					(			self		)       ->    Union[str, Any]:
          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  a_					(			self		)       ->    Union[str, Any]:
          return os.path.join(self.dummy_data_folder     ,							"dummy_data.zip"		)






     def  a_					(			self		)       ->    str:
          _a						=		(
              self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
          )

          _a						=		cached_path(
              __UpperCamelCase     ,							cache_dir=self.cache_dir     ,							extract_compressed_file=__UpperCamelCase     ,							force_extract=__UpperCamelCase		)

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






     @property
     def  a_					(			self		)       ->    Any:
          return os.path.join(self.datasets_scripts_dir     ,							self.dataset_name     ,							self.dummy_zip_file		)






     @property
     def  a_					(			self		)       ->    List[str]:
          if self._bucket_url is None:
               _a						=		hf_github_url(self.dataset_name     ,							self.dummy_zip_file.replace(os.sep     ,							"/"		)		)
          return self._bucket_url






     @property
     def  a_					(			self		)       ->    Any:
          # return full path if its a dir
          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  a_					(			self     ,							__UpperCamelCase     ,							*__UpperCamelCase		)       ->    Optional[int]:
          if self.load_existing_dummy_data:
               # dummy data is downloaded and tested
               _a						=		self.dummy_file
          else:
               # dummy data cannot be downloaded and only the path to dummy file is returned
               _a						=		self.dummy_file_name

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






     def  a_					(			self     ,							__UpperCamelCase     ,							*__UpperCamelCase		)       ->    int:
          return self.download_and_extract(__UpperCamelCase		)






     def  a_					(			self     ,							__UpperCamelCase     ,							__UpperCamelCase		)       ->    int:
          return self.download_and_extract(__UpperCamelCase		)






     def  a_					(			self     ,							__UpperCamelCase     ,							*__UpperCamelCase     ,							**__UpperCamelCase		)       ->    Any:
          return path






     def  a_					(			self		)       ->    Optional[int]:
          return {}






     def  a_					(			self     ,							__UpperCamelCase     ,							__UpperCamelCase		)       ->    Dict:
          _a						=		{}
          for key, single_urls in data_url.items():
               for download_callback in self.download_callbacks:
                    if isinstance(__UpperCamelCase     ,							__UpperCamelCase		):
                         for single_url in single_urls:
                              download_callback(__UpperCamelCase		)
                    else:
                         _a						=		single_urls
                         download_callback(__UpperCamelCase		)
            # 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(__UpperCamelCase     ,							__UpperCamelCase		):
                    _a						=		[os.path.join(__UpperCamelCase     ,							urllib.parse.quote_plus(Path(__UpperCamelCase		).name		)		) for x in single_urls]
               else:
                    _a						=		single_urls
                    _a						=		os.path.join(__UpperCamelCase     ,							urllib.parse.quote_plus(Path(__UpperCamelCase		).name		)		)
               _a						=		value

          # make sure that values are unique
          if all(isinstance(__UpperCamelCase     ,							__UpperCamelCase		) 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
               _a						=		{key: value + key for key, value in dummy_data_dict.items()}

          return dummy_data_dict






     def  a_					(			self     ,							__UpperCamelCase     ,							__UpperCamelCase		)       ->    Any:
          _a						=		[]
          # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
          _a						=		all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"     ,							__UpperCamelCase		)		) for url in data_url		)
          _a						=		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):
               _a						=		[data_url[0]] * len(__UpperCamelCase		)
          for single_url in data_url:
               for download_callback in self.download_callbacks:
                    download_callback(__UpperCamelCase		)
               # 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
               _a						=		os.path.join(__UpperCamelCase     ,							urllib.parse.quote_plus(single_url.split("/"		)[-1]		)		)
               dummy_data_list.append(__UpperCamelCase		)
          return dummy_data_list






     def  a_					(			self     ,							__UpperCamelCase     ,							__UpperCamelCase		)       ->    Tuple:
          for download_callback in self.download_callbacks:
               download_callback(__UpperCamelCase		)
          # 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
          _a						=		os.path.join(__UpperCamelCase     ,							urllib.parse.quote_plus(data_url.split("/"		)[-1]		)		)
          if os.path.exists(__UpperCamelCase		) 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  a_					(			self		)       ->    Optional[int]:
          pass






     def  a_					(			self		)       ->    Union[str, Any]:
          pass






     def  a_					(			self     ,							__UpperCamelCase		)       ->    Tuple:
          def _iter_archive_members(__UpperCamelCase		):
               # this preserves the order of the members inside the ZIP archive
               _a						=		Path(self.dummy_file		).parent
               _a						=		path.relative_to(__UpperCamelCase		)
               with ZipFile(self.local_path_to_dummy_data		) as zip_file:
                    _a						=		zip_file.namelist()
               for member in members:
                    if member.startswith(relative_path.as_posix()		):
                         yield dummy_parent_path.joinpath(__UpperCamelCase		)

          _a						=		Path(__UpperCamelCase		)
          _a						=		_iter_archive_members(__UpperCamelCase		) 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(__UpperCamelCase		).as_posix(), file_path.open("rb"		)






     def  a_					(			self     ,							__UpperCamelCase		)       ->    List[Any]:
          if not isinstance(__UpperCamelCase     ,							__UpperCamelCase		):
               _a						=		[paths]
          for path in paths:
               if os.path.isfile(__UpperCamelCase		):
                    if os.path.basename(__UpperCamelCase		).startswith((".", "__")		):
                         return
                    yield path
               else:
                    for dirpath, dirnames, filenames in os.walk(__UpperCamelCase		):
                         if os.path.basename(__UpperCamelCase		).startswith((".", "__")		):
                              continue
                         dirnames.sort()
                         for filename in sorted(__UpperCamelCase		):
                              if filename.startswith((".", "__")		):
                                   continue
                              yield os.path.join(__UpperCamelCase     ,							__UpperCamelCase		)





'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__				     =		logging.get_logger(__name__)





class 						__SCREAMING_SNAKE_CASE					(      lowerCamelCase__ ):
     UpperCAmelCase 					=				'''encoder-decoder'''
     UpperCAmelCase 					=				True






     def __init__(			self     ,							**__UpperCamelCase		)       ->    List[Any]:
          super().__init__(**__UpperCamelCase		)
          assert (
              "encoder" in kwargs and "decoder" in kwargs
          ), "Config has to be initialized with encoder and decoder config"
          _a						=		kwargs.pop("encoder"		)
          _a						=		encoder_config.pop("model_type"		)
          _a						=		kwargs.pop("decoder"		)
          _a						=		decoder_config.pop("model_type"		)

          from ..auto.configuration_auto import AutoConfig

          _a						=		AutoConfig.for_model(__UpperCamelCase     ,							**__UpperCamelCase		)
          _a						=		AutoConfig.for_model(__UpperCamelCase     ,							**__UpperCamelCase		)
          _a						=		True






     @classmethod
     def  a_					(			cls     ,							__UpperCamelCase     ,							__UpperCamelCase     ,							**__UpperCamelCase		)       ->    PretrainedConfig:
          logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"		)
          _a						=		True
          _a						=		True

          return cls(encoder=encoder_config.to_dict()     ,							decoder=decoder_config.to_dict()     ,							**__UpperCamelCase		)






     def  a_					(			self		)       ->    Any:
          _a						=		copy.deepcopy(self.__dict__		)
          _a						=		self.encoder.to_dict()
          _a						=		self.decoder.to_dict()
          _a						=		self.__class__.model_type
          return output

