






# 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_							=    get_logger(__name__)


class      lowercase__     :
	a_         ="""dummy_data"""
	a_         ="""datasets"""
	a_         =False

	def __init__(							self		,    __UpperCAmelCase		,    __UpperCAmelCase		,    __UpperCAmelCase		,    __UpperCAmelCase = None		,    __UpperCAmelCase = False		,    __UpperCAmelCase = True		,    __UpperCAmelCase = None		,    )->					List[Any]:







							'''simple docstring'''





							lowerCAmelCase__       =						0
							lowerCAmelCase__       =						dataset_name
							lowerCAmelCase__       =						cache_dir
							lowerCAmelCase__       =						use_local_dummy_data
							lowerCAmelCase__       =						config
							# download_callbacks take a single url as input
							lowerCAmelCase__       =						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
							lowerCAmelCase__       =						load_existing_dummy_data

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

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







							'''simple docstring'''





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

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







							'''simple docstring'''





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

	def 		UpperCAmelCase  (							self       )->					Any:







							'''simple docstring'''





							lowerCAmelCase__       =						(
							    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
							)

							lowerCAmelCase__       =						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:







							'''simple docstring'''





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

	@property
	def 		UpperCAmelCase  (							self       )->					Dict:







							'''simple docstring'''





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

	@property
	def 		UpperCAmelCase  (							self       )->					List[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 		UpperCAmelCase  (							self		,    __UpperCAmelCase		,    *__UpperCAmelCase       )->					Dict:







							'''simple docstring'''





							if self.load_existing_dummy_data:
													# dummy data is downloaded and tested
													lowerCAmelCase__       =						self.dummy_file
							else:
													# dummy data cannot be downloaded and only the path to dummy file is returned
													lowerCAmelCase__       =						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		,    __UpperCAmelCase		,    *__UpperCAmelCase       )->					Tuple:







							'''simple docstring'''





							return self.download_and_extract(__UpperCAmelCase       )

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







							'''simple docstring'''





							return self.download_and_extract(__UpperCAmelCase       )

	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase		,    *__UpperCAmelCase		,    **__UpperCAmelCase       )->					Dict:







							'''simple docstring'''





							return path

	def 		UpperCAmelCase  (							self       )->					Dict:







							'''simple docstring'''





							return {}

	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase		,    __UpperCAmelCase       )->					int:







							'''simple docstring'''





							lowerCAmelCase__       =						{}
							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:
																									lowerCAmelCase__       =						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       ):
																			lowerCAmelCase__       =						[os.path.join(__UpperCAmelCase		,    urllib.parse.quote_plus(Path(__UpperCAmelCase       ).name       )       ) for x in single_urls]
													else:
																			lowerCAmelCase__       =						single_urls
																			lowerCAmelCase__       =						os.path.join(__UpperCAmelCase		,    urllib.parse.quote_plus(Path(__UpperCAmelCase       ).name       )       )
													lowerCAmelCase__       =						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
													lowerCAmelCase__       =						{key: value + key for key, value in dummy_data_dict.items()}

							return dummy_data_dict

	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase		,    __UpperCAmelCase       )->					Any:







							'''simple docstring'''





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

	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase		,    __UpperCAmelCase       )->					Any:







							'''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
							lowerCAmelCase__       =						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       )->					Optional[int]:







							'''simple docstring'''





							pass

	def 		UpperCAmelCase  (							self       )->					List[str]:







							'''simple docstring'''





							pass

	def 		UpperCAmelCase  (							self		,    __UpperCAmelCase       )->					Optional[Any]:







							'''simple docstring'''





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

							lowerCAmelCase__       =						Path(__UpperCAmelCase       )
							lowerCAmelCase__       =						_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		,    __UpperCAmelCase       )->					int:







							'''simple docstring'''





							if not isinstance(__UpperCAmelCase		,    __UpperCAmelCase       ):
													lowerCAmelCase__       =						[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       )














def        _a  (     UpperCamelCase_					:				list    ,   UpperCamelCase_					:				list   ) ->   float:
						"""simple docstring"""







						_validate_point(UpperCamelCase_   )
						_validate_point(UpperCamelCase_   )
						if len(UpperCamelCase_   ) != len(UpperCamelCase_   ):
												raise ValueError("Both points must be in the same n-dimensional space"   )

						return float(sum(abs(a - b   ) for a, b in zip(UpperCamelCase_    ,   UpperCamelCase_   )   )   )


def        _a  (     UpperCamelCase_					:				list[float]   ) ->   None:
						"""simple docstring"""







						if point:
												if isinstance(UpperCamelCase_    ,   UpperCamelCase_   ):
																		for item in point:
																								if not isinstance(UpperCamelCase_    ,   (int, float)   ):
																														lowerCAmelCase__       =						(
																														    "Expected a list of numbers as input, found "
																														    F"{type(UpperCamelCase_   ).__name__}"
																														)
																														raise TypeError(UpperCamelCase_   )
												else:
																		lowerCAmelCase__       =						F"Expected a list of numbers as input, found {type(UpperCamelCase_   ).__name__}"
																		raise TypeError(UpperCamelCase_   )
						else:
												raise ValueError("Missing an input"   )


def        _a  (     UpperCamelCase_					:				list    ,   UpperCamelCase_					:				list   ) ->   float:
						"""simple docstring"""







						_validate_point(UpperCamelCase_   )
						_validate_point(UpperCamelCase_   )
						if len(UpperCamelCase_   ) != len(UpperCamelCase_   ):
												raise ValueError("Both points must be in the same n-dimensional space"   )

						return float(sum(abs(x - y   ) for x, y in zip(UpperCamelCase_    ,   UpperCamelCase_   )   )   )


if __name__ == "__main__":
	import doctest

	doctest.testmod()






