





'''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


__UpperCAmelCase            =       get_logger(__name__)




class      UpperCamelCase__					:




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__				=	'''dummy_data'''
					SCREAMING_SNAKE_CASE__				=	'''datasets'''
					SCREAMING_SNAKE_CASE__				=	False


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

							'''simple docstring'''



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

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


					@property
					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							if self._dummy_file is None:
									SCREAMING_SNAKE_CASE :				Optional[int]		=			self.download_dummy_data()
							return self._dummy_file


					@property
					def lowerCamelCase_			(						self				:			str						):

							'''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				:			List[str]						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				str		=			(
							    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
							)

							SCREAMING_SNAKE_CASE :				Optional[int]		=			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 lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



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


					@property
					def lowerCamelCase_			(						self				:			int						):

							'''simple docstring'''



							if self._bucket_url is None:
									SCREAMING_SNAKE_CASE :				Union[str, Any]		=			hf_github_url(self.dataset_name      ,						self.dummy_zip_file.replace(os.sep      ,						"""/"""						)						)
							return self._bucket_url


					@property
					def lowerCamelCase_			(						self				:			Optional[Any]						):

							'''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				:			Any      ,						lowerCamelCase_				:			Tuple      ,						*lowerCamelCase_				:			List[Any]						):

							'''simple docstring'''



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

							'''simple docstring'''



							return self.download_and_extract(__UpperCamelCase						)


					def lowerCamelCase_			(						self				:			Optional[int]      ,						lowerCamelCase_				:			Optional[Any]      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



							return self.download_and_extract(__UpperCamelCase						)


					def lowerCamelCase_			(						self				:			Any      ,						lowerCamelCase_				:			List[str]      ,						*lowerCamelCase_				:			int      ,						**lowerCamelCase_				:			int						):

							'''simple docstring'''



							return path


					def lowerCamelCase_			(						self				:			Union[str, Any]						):

							'''simple docstring'''



							return {}


					def lowerCamelCase_			(						self				:			Tuple      ,						lowerCamelCase_				:			Union[str, Any]      ,						lowerCamelCase_				:			int						):

							'''simple docstring'''



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

							return dummy_data_dict


					def lowerCamelCase_			(						self				:			Union[str, Any]      ,						lowerCamelCase_				:			List[str]      ,						lowerCamelCase_				:			List[str]						):

							'''simple docstring'''



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


					def lowerCamelCase_			(						self				:			Optional[int]      ,						lowerCamelCase_				:			Optional[int]      ,						lowerCamelCase_				:			Optional[int]						):

							'''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
							SCREAMING_SNAKE_CASE :				Dict		=			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 lowerCamelCase_			(						self				:			Union[str, Any]						):

							'''simple docstring'''



							pass


					def lowerCamelCase_			(						self				:			Tuple						):

							'''simple docstring'''



							pass


					def lowerCamelCase_			(						self				:			Union[str, Any]      ,						lowerCamelCase_				:			Any						):

							'''simple docstring'''



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

							SCREAMING_SNAKE_CASE :				str		=			Path(__UpperCamelCase						)
							SCREAMING_SNAKE_CASE :				Dict		=			_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 lowerCamelCase_			(						self				:			str      ,						lowerCamelCase_				:			Union[str, Any]						):

							'''simple docstring'''



							if not isinstance(__UpperCamelCase      ,						__UpperCamelCase						):
									SCREAMING_SNAKE_CASE :				str		=			[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_tf_available,
    is_torch_available,
    is_vision_available,
)


lowercase   =	{
    '''configuration_blip''': [
        '''BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlipConfig''',
        '''BlipTextConfig''',
        '''BlipVisionConfig''',
    ],
    '''processing_blip''': ['''BlipProcessor'''],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	['''BlipImageProcessor''']


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	[
		    '''BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BlipModel''',
		    '''BlipPreTrainedModel''',
		    '''BlipForConditionalGeneration''',
		    '''BlipForQuestionAnswering''',
		    '''BlipVisionModel''',
		    '''BlipTextModel''',
		    '''BlipForImageTextRetrieval''',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase   =	[
		    '''TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''TFBlipModel''',
		    '''TFBlipPreTrainedModel''',
		    '''TFBlipForConditionalGeneration''',
		    '''TFBlipForQuestionAnswering''',
		    '''TFBlipVisionModel''',
		    '''TFBlipTextModel''',
		    '''TFBlipForImageTextRetrieval''',
		]

if TYPE_CHECKING:
		from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
		from .processing_blip import BlipProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_blip import BlipImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blip import (
				    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlipForConditionalGeneration,
				    BlipForImageTextRetrieval,
				    BlipForQuestionAnswering,
				    BlipModel,
				    BlipPreTrainedModel,
				    BlipTextModel,
				    BlipVisionModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blip import (
				    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFBlipForConditionalGeneration,
				    TFBlipForImageTextRetrieval,
				    TFBlipForQuestionAnswering,
				    TFBlipModel,
				    TFBlipPreTrainedModel,
				    TFBlipTextModel,
				    TFBlipVisionModel,
				)

else:
		import sys

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





