

"""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


A_				:      Any           =			get_logger(__name__)





class  lowerCamelCase    :
			lowerCamelCase__ :		Tuple       		=				'dummy_data'
			lowerCamelCase__ :		Tuple       		=				'datasets'
			lowerCamelCase__ :		List[str]       		=				False

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

						# TODO(PVP, QL) might need to make this more general
						SCREAMING_SNAKE_CASE__										=   str(__UpperCAmelCase							)
						# to be downloaded
						SCREAMING_SNAKE_CASE__										=   None
						SCREAMING_SNAKE_CASE__										=   None

			@property
			def        SCREAMING_SNAKE_CASE					(       self					:    Tuple							) ->     List[str]:
						if self._dummy_file is None:
									SCREAMING_SNAKE_CASE__										=   self.download_dummy_data()
						return self._dummy_file

			@property
			def        SCREAMING_SNAKE_CASE					(       self					:    Tuple							) ->     Any:
						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        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     int:
						return os.path.join(self.dummy_data_folder     ,					"""dummy_data.zip"""							)

			def        SCREAMING_SNAKE_CASE					(       self					:    List[Any]							) ->     Union[str, Any]:
						SCREAMING_SNAKE_CASE__										=   (
						    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
						)

						SCREAMING_SNAKE_CASE__										=   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        SCREAMING_SNAKE_CASE					(       self					:    List[Any]							) ->     Tuple:
						return os.path.join(self.datasets_scripts_dir     ,					self.dataset_name     ,					self.dummy_zip_file							)

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

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

			def        SCREAMING_SNAKE_CASE					(       self					:    str     ,					__UpperCAmelCase					:    Dict     ,					__UpperCAmelCase					:    Union[str, Any]							) ->     Optional[Any]:
						return self.download_and_extract(__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    Union[str, Any]     ,					__UpperCAmelCase					:    int     ,					*__UpperCAmelCase					:    Dict     ,					**__UpperCAmelCase					:    List[Any]							) ->     int:
						return path

			def        SCREAMING_SNAKE_CASE					(       self					:    Union[str, Any]							) ->     Dict:
						return {}

			def        SCREAMING_SNAKE_CASE					(       self					:    int     ,					__UpperCAmelCase					:    Any     ,					__UpperCAmelCase					:    Optional[int]							) ->     Any:
						SCREAMING_SNAKE_CASE__										=   {}
						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__										=   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__										=   [os.path.join(__UpperCAmelCase     ,					urllib.parse.quote_plus(Path(__UpperCAmelCase							).name							)							) for x in single_urls]
									else:
												SCREAMING_SNAKE_CASE__										=   single_urls
												SCREAMING_SNAKE_CASE__										=   os.path.join(__UpperCAmelCase     ,					urllib.parse.quote_plus(Path(__UpperCAmelCase							).name							)							)
									SCREAMING_SNAKE_CASE__										=   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__										=   {key: value + key for key, value in dummy_data_dict.items()}

						return dummy_data_dict

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

			def        SCREAMING_SNAKE_CASE					(       self					:    Dict     ,					__UpperCAmelCase					:    Optional[Any]     ,					__UpperCAmelCase					:    int							) ->     Any:
						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__										=   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        SCREAMING_SNAKE_CASE					(       self					:    Dict							) ->     Any:
						pass

			def        SCREAMING_SNAKE_CASE					(       self					:    Dict							) ->     List[str]:
						pass

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

						SCREAMING_SNAKE_CASE__										=   Path(__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   _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        SCREAMING_SNAKE_CASE					(       self					:    str     ,					__UpperCAmelCase					:    str							) ->     List[str]:
						if not isinstance(__UpperCAmelCase     ,					__UpperCAmelCase							):
									SCREAMING_SNAKE_CASE__										=   [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							)





"""simple docstring"""




from __future__ import annotations

def 						A							(  snake_case__     ):




			'''simple docstring'''


			for i in range(1		,					len(matrix[0]     )     ):
						matrix[0][i] += matrix[0][i - 1]

			# preprocessing the first column
			for i in range(1		,					len(snake_case__     )     ):
						matrix[i][0] += matrix[i - 1][0]

			# updating the path cost for current position
			for i in range(1		,					len(snake_case__     )     ):
						for j in range(1		,					len(matrix[0]     )     ):
									matrix[i][j] += min(matrix[i - 1][j]		,					matrix[i][j - 1]     )

			return matrix[-1][-1]


if __name__ == "__main__":
						import doctest

						doctest.testmod()


