




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				:				Tuple       							=		get_logger(__name__)

class       A   :
							lowercase_          =    'dummy_data'
							lowercase_          =    'datasets'
							lowercase_          =    False







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


														"""simple docstring"""


														_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(__snake_case )
														# to be downloaded
														_a     					=    None
														_a     					=    None







							@property
							def        __lowerCAmelCase      (  self	:  Any )      ->							Optional[Any]:


														"""simple docstring"""


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







							@property
							def        __lowerCAmelCase      (  self	:  List[Any] )      ->							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	:  str )      ->							Union[str, Any]:


														"""simple docstring"""


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







							def        __lowerCAmelCase      (  self	:  List[Any] )      ->							Any:


														"""simple docstring"""


														_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(
														    __snake_case							,      cache_dir=self.cache_dir							,      extract_compressed_file=__snake_case							,      force_extract=__snake_case )

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







							@property
							def        __lowerCAmelCase      (  self	:  List[str] )      ->							str:


														"""simple docstring"""


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







							@property
							def        __lowerCAmelCase      (  self	:  Optional[int] )      ->							Union[str, Any]:


														"""simple docstring"""


														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        __lowerCAmelCase      (  self	:  Union[str, Any] )      ->							str:


														"""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	:  Tuple							,      lowerCAmelCase_	:  str							,      *lowerCAmelCase_	:  int )      ->							Optional[Any]:


														"""simple docstring"""


														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(__snake_case							,      __snake_case ):
																					return self.create_dummy_data_dict(__snake_case							,      __snake_case )
														elif isinstance(__snake_case							,      (list, tuple) ):
																					return self.create_dummy_data_list(__snake_case							,      __snake_case )
														else:
																					return self.create_dummy_data_single(__snake_case							,      __snake_case )







							def        __lowerCAmelCase      (  self	:  Any							,      lowerCAmelCase_	:  int							,      *lowerCAmelCase_	:  int )      ->							Dict:


														"""simple docstring"""


														return self.download_and_extract(__snake_case )







							def        __lowerCAmelCase      (  self	:  List[str]							,      lowerCAmelCase_	:  List[Any]							,      lowerCAmelCase_	:  Union[str, Any] )      ->							Optional[int]:


														"""simple docstring"""


														return self.download_and_extract(__snake_case )







							def        __lowerCAmelCase      (  self	:  int							,      lowerCAmelCase_	:  int							,      *lowerCAmelCase_	:  Dict							,      **lowerCAmelCase_	:  str )      ->							List[str]:


														"""simple docstring"""


														return path







							def        __lowerCAmelCase      (  self	:  Optional[int] )      ->							Dict:


														"""simple docstring"""


														return {}







							def        __lowerCAmelCase      (  self	:  List[Any]							,      lowerCAmelCase_	:  List[Any]							,      lowerCAmelCase_	:  Optional[Any] )      ->							Tuple:


														"""simple docstring"""


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

														# make sure that values are unique
														if all(isinstance(__snake_case							,      __snake_case ) 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        __lowerCAmelCase      (  self	:  str							,      lowerCAmelCase_	:  int							,      lowerCAmelCase_	:  str )      ->							Union[str, Any]:


														"""simple docstring"""


														_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,}'''							,      __snake_case ) ) 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(__snake_case )
														for single_url in data_url:
																					for download_callback in self.download_callbacks:
																												download_callback(__snake_case )
																					# 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(__snake_case							,      urllib.parse.quote_plus(single_url.split('''/''' )[-1] ) )
																					dummy_data_list.append(__snake_case )
														return dummy_data_list







							def        __lowerCAmelCase      (  self	:  List[str]							,      lowerCAmelCase_	:  Union[str, Any]							,      lowerCAmelCase_	:  List[str] )      ->							int:


														"""simple docstring"""


														for download_callback in self.download_callbacks:
																					download_callback(__snake_case )
														# 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(__snake_case							,      urllib.parse.quote_plus(data_url.split('''/''' )[-1] ) )
														if os.path.exists(__snake_case ) 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	:  Optional[int] )      ->							Dict:


														"""simple docstring"""


														pass







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


														"""simple docstring"""


														pass







							def        __lowerCAmelCase      (  self	:  Optional[Any]							,      lowerCAmelCase_	:  Dict )      ->							Union[str, Any]:


														"""simple docstring"""


														def _iter_archive_members(lowerCAmelCase_	:  int ):
																					# this preserves the order of the members inside the ZIP archive
																					_a     					=    Path(self.dummy_file ).parent
																					_a     					=    path.relative_to(__snake_case )
																					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(__snake_case )

														_a     					=    Path(__snake_case )
														_a     					=    _iter_archive_members(__snake_case ) 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(__snake_case ).as_posix(), file_path.open('''rb''' )







							def        __lowerCAmelCase      (  self	:  Union[str, Any]							,      lowerCAmelCase_	:  List[Any] )      ->							Any:


														"""simple docstring"""


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







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_snake_case				:				int       							=		{'configuration_yolos': ['YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'YolosConfig', 'YolosOnnxConfig']}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case				:				List[str]       							=		['YolosFeatureExtractor']
				_snake_case				:				Optional[int]       							=		['YolosImageProcessor']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_snake_case				:				Tuple       							=		[
				    'YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'YolosForObjectDetection',
				    'YolosModel',
				    'YolosPreTrainedModel',
				]


if TYPE_CHECKING:
				from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_yolos import YolosFeatureExtractor
								from .image_processing_yolos import YolosImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_yolos import (
								    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
								    YolosForObjectDetection,
								    YolosModel,
								    YolosPreTrainedModel,
								)


else:
				import sys

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

