




"""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 lowerCAmelCase__			:






			'''simple docstring'''



			lowerCamelCase__   =    """dummy_data"""
			lowerCamelCase__   =    """datasets"""
			lowerCamelCase__   =    False
			def __init__(						self						,   lowercase						,   lowercase						,   lowercase						,   lowercase = None						,   lowercase = False						,   lowercase = True						,   lowercase = None						,   ):
							_lowerCamelCase  :    Any					=					0
							_lowerCamelCase  :    Union[str, Any]					=					dataset_name
							_lowerCamelCase  :    Any					=					cache_dir
							_lowerCamelCase  :    Dict					=					use_local_dummy_data
							_lowerCamelCase  :    Dict					=					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  :    int					=					load_existing_dummy_data

							# TODO(PVP, QL) might need to make this more general
							_lowerCamelCase  :    Union[str, Any]					=					str(lowercase						)
							# to be downloaded
							_lowerCamelCase  :    Any					=					None
							_lowerCamelCase  :    List[str]					=					None
			@property
			def       A_					(						self						):
							if self._dummy_file is None:
											_lowerCamelCase  :    int					=					self.download_dummy_data()
							return self._dummy_file
			@property
			def       A_					(						self						):
							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						):
							return os.path.join(self.dummy_data_folder						,   'dummy_data.zip'						)
			def       A_					(						self						):
							_lowerCamelCase  :    Union[str, Any]					=					(
							    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
							)

							_lowerCamelCase  :    Any					=					cached_path(
							    lowercase						,   cache_dir=self.cache_dir						,   extract_compressed_file=lowercase						,   force_extract=lowercase						)

							return os.path.join(lowercase						,   self.dummy_file_name						)
			@property
			def       A_					(						self						):
							return os.path.join(self.datasets_scripts_dir						,   self.dataset_name						,   self.dummy_zip_file						)
			@property
			def       A_					(						self						):
							if self._bucket_url is None:
											_lowerCamelCase  :    Optional[int]					=					hf_github_url(self.dataset_name						,   self.dummy_zip_file.replace(os.sep						,   '/'						)						)
							return self._bucket_url
			@property
			def       A_					(						self						):
							# 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						,   lowercase						,   *lowercase						):
							if self.load_existing_dummy_data:
											# dummy data is downloaded and tested
											_lowerCamelCase  :    Union[str, Any]					=					self.dummy_file
							else:
											# dummy data cannot be downloaded and only the path to dummy file is returned
											_lowerCamelCase  :    Union[str, Any]					=					self.dummy_file_name

							# special case when data_url is a dict
							if isinstance(lowercase						,   lowercase						):
											return self.create_dummy_data_dict(lowercase						,   lowercase						)
							elif isinstance(lowercase						,   (list, tuple)						):
											return self.create_dummy_data_list(lowercase						,   lowercase						)
							else:
											return self.create_dummy_data_single(lowercase						,   lowercase						)
			def       A_					(						self						,   lowercase						,   *lowercase						):
							return self.download_and_extract(lowercase						)
			def       A_					(						self						,   lowercase						,   lowercase						):
							return self.download_and_extract(lowercase						)
			def       A_					(						self						,   lowercase						,   *lowercase						,   **lowercase						):
							return path
			def       A_					(						self						):
							return {}
			def       A_					(						self						,   lowercase						,   lowercase						):
							_lowerCamelCase  :    Union[str, Any]					=					{}
							for key, single_urls in data_url.items():
											for download_callback in self.download_callbacks:
															if isinstance(lowercase						,   lowercase						):
																			for single_url in single_urls:
																							download_callback(lowercase						)
															else:
																			_lowerCamelCase  :    Any					=					single_urls
																			download_callback(lowercase						)
            # 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(lowercase						,   lowercase						):
															_lowerCamelCase  :    str					=					[os.path.join(lowercase						,   urllib.parse.quote_plus(Path(lowercase						).name						)						) for x in single_urls]
											else:
															_lowerCamelCase  :    int					=					single_urls
															_lowerCamelCase  :    Dict					=					os.path.join(lowercase						,   urllib.parse.quote_plus(Path(lowercase						).name						)						)
											_lowerCamelCase  :    List[str]					=					value

							# make sure that values are unique
							if all(isinstance(lowercase						,   lowercase						) 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  :    List[Any]					=					{key: value + key for key, value in dummy_data_dict.items()}

							return dummy_data_dict
			def       A_					(						self						,   lowercase						,   lowercase						):
							_lowerCamelCase  :    List[str]					=					[]
							# trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
							_lowerCamelCase  :    Optional[Any]					=					all(bool(re.findall('[0-9]{3,}-of-[0-9]{3,}'						,   lowercase						)						) for url in data_url						)
							_lowerCamelCase  :    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  :    List[str]					=					[data_url[0]] * len(lowercase						)
							for single_url in data_url:
											for download_callback in self.download_callbacks:
															download_callback(lowercase						)
											# 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  :    str					=					os.path.join(lowercase						,   urllib.parse.quote_plus(single_url.split('/'						)[-1]						)						)
											dummy_data_list.append(lowercase						)
							return dummy_data_list
			def       A_					(						self						,   lowercase						,   lowercase						):
							for download_callback in self.download_callbacks:
											download_callback(lowercase						)
							# 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  :    Any					=					os.path.join(lowercase						,   urllib.parse.quote_plus(data_url.split('/'						)[-1]						)						)
							if os.path.exists(lowercase						) 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						):
							pass
			def       A_					(						self						):
							pass
			def       A_					(						self						,   lowercase						):
							def _iter_archive_members(lowercase						):
											# this preserves the order of the members inside the ZIP archive
											_lowerCamelCase  :    Tuple					=					Path(self.dummy_file						).parent
											_lowerCamelCase  :    str					=					path.relative_to(lowercase						)
											with ZipFile(self.local_path_to_dummy_data						) as zip_file:
															_lowerCamelCase  :    Optional[Any]					=					zip_file.namelist()
											for member in members:
															if member.startswith(relative_path.as_posix()						):
																			yield dummy_parent_path.joinpath(lowercase						)

							_lowerCamelCase  :    Optional[Any]					=					Path(lowercase						)
							_lowerCamelCase  :    Tuple					=					_iter_archive_members(lowercase						) 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(lowercase						).as_posix(), file_path.open('rb'						)






			def       A_					(						self						,   lowercase						):
							if not isinstance(lowercase						,   lowercase						):
											_lowerCamelCase  :    Optional[int]					=					[paths]
							for path in paths:
											if os.path.isfile(lowercase						):
															if os.path.basename(lowercase						).startswith(('.', '__')						):
																			return
															yield path
											else:
															for dirpath, dirnames, filenames in os.walk(lowercase						):
																			if os.path.basename(lowercase						).startswith(('.', '__')						):
																							continue
																			dirnames.sort()
																			for filename in sorted(lowercase						):
																							if filename.startswith(('.', '__')						):
																											continue
																							yield os.path.join(lowercase						,   lowercase						)





"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase__  		=		logging.get_logger(__name__)

lowercase__  		=		{
    """facebook/deit-base-distilled-patch16-224""": (
        """https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json"""
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}






class lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    """deit"""
			def __init__(						self						,   lowercase=768						,   lowercase=12						,   lowercase=12						,   lowercase=3072						,   lowercase="gelu"						,   lowercase=0.0						,   lowercase=0.0						,   lowercase=0.02						,   lowercase=1E-12						,   lowercase=224						,   lowercase=16						,   lowercase=3						,   lowercase=True						,   lowercase=16						,   **lowercase						,   ):
							super().__init__(**lowercase						)

							_lowerCamelCase  :    Optional[Any]					=					hidden_size
							_lowerCamelCase  :    List[str]					=					num_hidden_layers
							_lowerCamelCase  :    Tuple					=					num_attention_heads
							_lowerCamelCase  :    Any					=					intermediate_size
							_lowerCamelCase  :    int					=					hidden_act
							_lowerCamelCase  :    Any					=					hidden_dropout_prob
							_lowerCamelCase  :    str					=					attention_probs_dropout_prob
							_lowerCamelCase  :    str					=					initializer_range
							_lowerCamelCase  :    Union[str, Any]					=					layer_norm_eps
							_lowerCamelCase  :    Optional[Any]					=					image_size
							_lowerCamelCase  :    Optional[int]					=					patch_size
							_lowerCamelCase  :    Dict					=					num_channels
							_lowerCamelCase  :    Dict					=					qkv_bias
							_lowerCamelCase  :    Dict					=					encoder_stride






class lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			lowerCamelCase__   =    version.parse("""1.11"""		)
			@property
			def       A_					(						self						):
							return OrderedDict(
							    [
							        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
							    ]						)






			@property
			def       A_					(						self						):
							return 1E-4