
# 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  :					str													=       get_logger(__name__)




class  lowerCamelCase__							:




	'''simple docstring'''




	_A								=     'dummy_data'
	_A								=     'datasets'
	_A								=     False







	def __init__(					self		:Any     ,   a		:str     ,   a		:str     ,   a		:Union[Version, str]     ,   a		:Optional[str] = None     ,   a		:bool = False     ,   a		:bool = True     ,   a		:Optional[List[Callable]] = None     ,   )		-> List[str]:
								__UpperCamelCase	:   int			   =					0
								__UpperCamelCase	:   int			   =					dataset_name
								__UpperCamelCase	:   Any			   =					cache_dir
								__UpperCamelCase	:   Tuple			   =					use_local_dummy_data
								__UpperCamelCase	:   int			   =					config
								# download_callbacks take a single url as input
								__UpperCamelCase	:   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
								__UpperCamelCase	:   Optional[Any]			   =					load_existing_dummy_data

								# TODO(PVP, QL) might need to make this more general
								__UpperCamelCase	:   Optional[int]			   =					str(a						)
								# to be downloaded
								__UpperCamelCase	:   Dict			   =					None
								__UpperCamelCase	:   Union[str, Any]			   =					None







	@property
	def    _lowerCamelCase				(					self		:Union[str, Any]						)		-> int:
								if self._dummy_file is None:
															__UpperCamelCase	:   Optional[Any]			   =					self.download_dummy_data()
								return self._dummy_file







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







	def    _lowerCamelCase				(					self		:Tuple						)		-> Any:
								__UpperCamelCase	:   Optional[int]			   =					(
								    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
								)

								__UpperCamelCase	:   Optional[Any]			   =					cached_path(
								    a     ,   cache_dir=self.cache_dir     ,   extract_compressed_file=a     ,   force_extract=a						)

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







	@property
	def    _lowerCamelCase				(					self		:int						)		-> Tuple:
								return os.path.join(self.datasets_scripts_dir     ,   self.dataset_name     ,   self.dummy_zip_file						)







	@property
	def    _lowerCamelCase				(					self		:Optional[Any]						)		-> Dict:
								if self._bucket_url is None:
															__UpperCamelCase	:   str			   =					hf_github_url(self.dataset_name     ,   self.dummy_zip_file.replace(os.sep     ,   "/"						)						)
								return self._bucket_url







	@property
	def    _lowerCamelCase				(					self		:int						)		-> List[str]:
								# 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    _lowerCamelCase				(					self		:Dict     ,   a		:Any     ,   *a		:Any						)		-> Tuple:
								if self.load_existing_dummy_data:
															# dummy data is downloaded and tested
															__UpperCamelCase	:   List[str]			   =					self.dummy_file
								else:
															# dummy data cannot be downloaded and only the path to dummy file is returned
															__UpperCamelCase	:   Tuple			   =					self.dummy_file_name

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







	def    _lowerCamelCase				(					self		:Dict     ,   a		:Any     ,   *a		:Any						)		-> List[str]:
								return self.download_and_extract(a						)







	def    _lowerCamelCase				(					self		:List[str]     ,   a		:Union[str, Any]     ,   a		:int						)		-> int:
								return self.download_and_extract(a						)







	def    _lowerCamelCase				(					self		:Tuple     ,   a		:List[Any]     ,   *a		:Union[str, Any]     ,   **a		:Optional[Any]						)		-> int:
								return path







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







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

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

								return dummy_data_dict







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







	def    _lowerCamelCase				(					self		:Optional[Any]     ,   a		:List[str]     ,   a		:Optional[int]						)		-> Optional[Any]:
								for download_callback in self.download_callbacks:
															download_callback(a						)
								# 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
								__UpperCamelCase	:   List[Any]			   =					os.path.join(a     ,   urllib.parse.quote_plus(data_url.split("/"						)[-1]						)						)
								if os.path.exists(a						) 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		:Dict						)		-> int:
								pass







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







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

								__UpperCamelCase	:   Optional[Any]			   =					Path(a						)
								__UpperCamelCase	:   Tuple			   =					_iter_archive_members(a						) 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(a						).as_posix(), file_path.open("rb"						)







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

from __future__ import annotations




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			list[list[int]])					->    bool:






							'''simple docstring'''





							__UpperCamelCase	:   Any			   =					len(_lowerCamelCase)
							# We need to create solution object to save path.
							__UpperCamelCase	:   List[str]			   =					[[0 for _ in range(_lowerCamelCase)] for _ in range(_lowerCamelCase)]
							__UpperCamelCase	:   Optional[int]			   =					run_maze(_lowerCamelCase						,  0						,  0						,  _lowerCamelCase)
							if solved:
														print("\n".join(str(_lowerCamelCase) for row in solutions))
							else:
														print("No solution exists!")
							return solved




def 	_SCREAMING_SNAKE_CASE					(		_lowerCamelCase :			list[list[int]]						,  _lowerCamelCase :			int						,  _lowerCamelCase :			int						,  _lowerCamelCase :			list[list[int]])					->    bool:






							'''simple docstring'''





							__UpperCamelCase	:   Tuple			   =					len(_lowerCamelCase)
							# Final check point.
							if i == j == (size - 1):
														__UpperCamelCase	:   Optional[int]			   =					1
														return True

							__UpperCamelCase	:   List[Any]			   =					(not i < 0) and (not j < 0)  # Check lower bounds
							__UpperCamelCase	:   List[str]			   =					(i < size) and (j < size)  # Check upper bounds

							if lower_flag and upper_flag:
														# check for already visited and block points.
														__UpperCamelCase	:   int			   =					(not solutions[i][j]) and (not maze[i][j])
														if block_flag:
																					# check visited
																					__UpperCamelCase	:   Tuple			   =					1

																					# check for directions
																					if (
																					    run_maze(_lowerCamelCase						,  i + 1						,  _lowerCamelCase						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  _lowerCamelCase						,  j + 1						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  i - 1						,  _lowerCamelCase						,  _lowerCamelCase)
																					    or run_maze(_lowerCamelCase						,  _lowerCamelCase						,  j - 1						,  _lowerCamelCase)
																					):
																												return True

																					__UpperCamelCase	:   Tuple			   =					0
																					return False
							return False


if __name__ == "__main__":
		import doctest

		doctest.testmod()