






# 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 							snake_case_       :

						"""simple docstring"""



						snake_case__        =      """dummy_data"""
						snake_case__        =      """datasets"""
						snake_case__        =      False



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




											'''simple docstring'''



											__a					:						Optional[int]      =					0
											__a					:						List[Any]      =					dataset_name
											__a					:						str      =					cache_dir
											__a					:						Optional[int]      =					use_local_dummy_data
											__a					:						List[str]      =					config
											# download_callbacks take a single url as input
											__a					:						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
											__a					:						Tuple      =					load_existing_dummy_data

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



						@property
						def        UpperCAmelCase__					(self:					List[Any]   )    ->     Optional[int]:




											'''simple docstring'''



											if self._dummy_file is None:
																__a					:						Union[str, Any]      =					self.download_dummy_data()
											return self._dummy_file



						@property
						def        UpperCAmelCase__					(self:					List[Any]   )    ->     Optional[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        UpperCAmelCase__					(self:					Dict   )    ->     List[str]:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					Any   )    ->     Optional[Any]:




											'''simple docstring'''



											__a					:						Any      =					(
											    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
											)

											__a					:						Any      =					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        UpperCAmelCase__					(self:					str   )    ->     List[str]:




											'''simple docstring'''



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



						@property
						def        UpperCAmelCase__					(self:					Dict   )    ->     int:




											'''simple docstring'''



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



						@property
						def        UpperCAmelCase__					(self:					str   )    ->     List[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        UpperCAmelCase__					(self:					Dict ,					__UpperCAmelCase:					Optional[int] ,					*__UpperCAmelCase:					int   )    ->     Union[str, Any]:




											'''simple docstring'''



											if self.load_existing_dummy_data:
																# dummy data is downloaded and tested
																__a					:						Tuple      =					self.dummy_file
											else:
																# dummy data cannot be downloaded and only the path to dummy file is returned
																__a					:						str      =					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        UpperCAmelCase__					(self:					int ,					__UpperCAmelCase:					Tuple ,					*__UpperCAmelCase:					List[str]   )    ->     Union[str, Any]:




											'''simple docstring'''



											return self.download_and_extract(__UpperCAmelCase   )



						def        UpperCAmelCase__					(self:					int ,					__UpperCAmelCase:					List[Any] ,					__UpperCAmelCase:					Dict   )    ->     Optional[Any]:




											'''simple docstring'''



											return self.download_and_extract(__UpperCAmelCase   )



						def        UpperCAmelCase__					(self:					Tuple ,					__UpperCAmelCase:					int ,					*__UpperCAmelCase:					Union[str, Any] ,					**__UpperCAmelCase:					Dict   )    ->     List[str]:




											'''simple docstring'''



											return path



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




											'''simple docstring'''



											return {}



						def        UpperCAmelCase__					(self:					List[str] ,					__UpperCAmelCase:					int ,					__UpperCAmelCase:					List[str]   )    ->     Dict:




											'''simple docstring'''



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

											return dummy_data_dict



						def        UpperCAmelCase__					(self:					Dict ,					__UpperCAmelCase:					str ,					__UpperCAmelCase:					Optional[int]   )    ->     Optional[Any]:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					Optional[Any] ,					__UpperCAmelCase:					Union[str, Any] ,					__UpperCAmelCase:					Optional[int]   )    ->     Dict:




											'''simple docstring'''



											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					:						Union[str, Any]      =					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        UpperCAmelCase__					(self:					int   )    ->     int:




											'''simple docstring'''



											pass



						def        UpperCAmelCase__					(self:					List[Any]   )    ->     Tuple:




											'''simple docstring'''



											pass



						def        UpperCAmelCase__					(self:					str ,					__UpperCAmelCase:					Optional[int]   )    ->     Any:




											'''simple docstring'''



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

											__a					:						Union[str, Any]      =					Path(__UpperCAmelCase   )
											__a					:						int      =					_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        UpperCAmelCase__					(self:					int ,					__UpperCAmelCase:					Any   )    ->     List[str]:




											'''simple docstring'''



											if not isinstance(__UpperCAmelCase ,					__UpperCAmelCase   ):
																__a					:						Any      =					[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   )













from typing import TYPE_CHECKING

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


UpperCAmelCase__      			=						{
    '''configuration_poolformer''': [
        '''POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''PoolFormerConfig''',
        '''PoolFormerOnnxConfig''',
    ]
}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__      			=						['''PoolFormerFeatureExtractor''']
			UpperCAmelCase__      			=						['''PoolFormerImageProcessor''']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__      			=						[
			    '''POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''PoolFormerForImageClassification''',
			    '''PoolFormerModel''',
			    '''PoolFormerPreTrainedModel''',
			]


if TYPE_CHECKING:
			from .configuration_poolformer import (
			    POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    PoolFormerConfig,
			    PoolFormerOnnxConfig,
			)

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_poolformer import PoolFormerFeatureExtractor
						from .image_processing_poolformer import PoolFormerImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_poolformer import (
						    POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
						    PoolFormerForImageClassification,
						    PoolFormerModel,
						    PoolFormerPreTrainedModel,
						)


else:
			import sys

			UpperCAmelCase__      			=						_LazyModule(__name__, globals()['''__file__'''], _import_structure)





