



# 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'''






							UpperCamelCase__         =					"""dummy_data"""
							UpperCamelCase__         =					"""datasets"""
							UpperCamelCase__         =					False


							def __init__(							self  ,  a_  ,  a_  ,  a_  ,  a_ = None  ,  a_ = False  ,  a_ = True  ,  a_ = None  ,  ):
											a__				      =		0
											a__				      =		dataset_name
											a__				      =		cache_dir
											a__				      =		use_local_dummy_data
											a__				      =		config
											# download_callbacks take a single url as input
											a__				      =		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__				      =		load_existing_dummy_data

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


							@property
							def _a      (							self		):
											if self._dummy_file is None:
															a__				      =		self.download_dummy_data()
											return self._dummy_file


							@property
							def _a      (							self		):
											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 _a      (							self		):
											return os.path.join(self.dummy_data_folder  ,  """dummy_data.zip"""		)


							def _a      (							self		):
											a__				      =		(
											    self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
											)

											a__				      =		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 _a      (							self		):
											return os.path.join(self.datasets_scripts_dir  ,  self.dataset_name  ,  self.dummy_zip_file		)


							@property
							def _a      (							self		):
											if self._bucket_url is None:
															a__				      =		hf_github_url(self.dataset_name  ,  self.dummy_zip_file.replace(os.sep  ,  """/"""		)		)
											return self._bucket_url


							@property
							def _a      (							self		):
											# 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 _a      (							self  ,  a_  ,  *a_		):
											if self.load_existing_dummy_data:
															# dummy data is downloaded and tested
															a__				      =		self.dummy_file
											else:
															# dummy data cannot be downloaded and only the path to dummy file is returned
															a__				      =		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 _a      (							self  ,  a_  ,  *a_		):
											return self.download_and_extract(a_		)


							def _a      (							self  ,  a_  ,  a_		):
											return self.download_and_extract(a_		)


							def _a      (							self  ,  a_  ,  *a_  ,  **a_		):
											return path


							def _a      (							self		):
											return {}


							def _a      (							self  ,  a_  ,  a_		):
											a__				      =		{}
											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:
																							a__				      =		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_		):
																			a__				      =		[os.path.join(a_  ,  urllib.parse.quote_plus(Path(a_		).name		)		) for x in single_urls]
															else:
																			a__				      =		single_urls
																			a__				      =		os.path.join(a_  ,  urllib.parse.quote_plus(Path(a_		).name		)		)
															a__				      =		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
															a__				      =		{key: value + key for key, value in dummy_data_dict.items()}

											return dummy_data_dict


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


							def _a      (							self  ,  a_  ,  a_		):
											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
											a__				      =		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 _a      (							self		):
											pass


							def _a      (							self		):
											pass


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

											a__				      =		Path(a_		)
											a__				      =		_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 _a      (							self  ,  a_		):
											if not isinstance(a_  ,  a_		):
															a__				      =		[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_		)






def 			A_      (	__a     :				str = "The quick brown fox jumps over the lazy dog" ,		):

				"""simple docstring"""
				a__				      =		set()

				# Replace all the whitespace in our sentence
				a__				      =		input_str.replace(""" """ ,		""""""		)
				for alpha in input_str:
								if "a" <= alpha.lower() <= "z":
												frequency.add(alpha.lower()		)
				return len(__a		) == 26

def 			A_      (	__a     :				str = "The quick brown fox jumps over the lazy dog" ,		):

				"""simple docstring"""
				a__				      =		[False] * 26
				for char in input_str:
								if char.islower():
												a__				      =		True
								elif char.isupper():
												a__				      =		True
				return all(__a		)

def 			A_      (	__a     :				str = "The quick brown fox jumps over the lazy dog" ,		):

				"""simple docstring"""
				return len({char for char in input_str.lower() if char.isalpha()}		) == 26

def 			A_      (	):

				"""simple docstring"""
				from timeit import timeit

				a__				      =		"""from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
				print(timeit("""is_pangram()""" ,		setup=__a		)		)
				print(timeit("""is_pangram_faster()""" ,		setup=__a		)		)
				print(timeit("""is_pangram_fastest()""" ,		setup=__a		)		)
				# 5.348480500048026, 2.6477354579837993, 1.8470395830227062
				# 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	benchmark()

