






import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile
from typing import List

from datasets import config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.info_utils import VerificationMode


def __A       ( __lowerCAmelCase					,						**__lowerCAmelCase      )->    List[str]:





						"""simple docstring"""



						return RunBeamCommand(
						    args.dataset					,						args.name					,						args.cache_dir					,						args.beam_pipeline_options					,						args.data_dir					,						args.all_configs					,						args.save_info or args.save_infos					,						args.ignore_verifications					,						args.force_redownload					,						**__lowerCAmelCase					,						)





class __lowerCamelCase					( __UpperCAmelCase):





	"""simple docstring"""






	@staticmethod
	def 			UpperCamelCase       (				UpperCAmelCase       ):
							"""simple docstring"""







							_UpperCAmelCase							   =     parser.add_parser('run_beam'			,       help='Run a Beam dataset processing pipeline'       )
							run_beam_parser.add_argument('dataset'			,       type=lowerCamelCase__			,       help='Name of the dataset to download'       )
							run_beam_parser.add_argument('--name'			,       type=lowerCamelCase__			,       default=lowerCamelCase__			,       help='Dataset config name'       )
							run_beam_parser.add_argument(
							    '--cache_dir'			,       type=lowerCamelCase__			,       default=lowerCamelCase__			,       help='Cache directory where the datasets are stored'			,       )
							run_beam_parser.add_argument(
							    '--beam_pipeline_options'			,       type=lowerCamelCase__			,       default=''			,       help='Beam pipeline options, separated by commas. Example:: `--beam_pipeline_options=job_name=my-job,project=my-project`'			,       )
							run_beam_parser.add_argument(
							    '--data_dir'			,       type=lowerCamelCase__			,       default=lowerCamelCase__			,       help='Can be used to specify a manual directory to get the files from'			,       )
							run_beam_parser.add_argument('--all_configs'			,       action='store_true'			,       help='Test all dataset configurations'       )
							run_beam_parser.add_argument('--save_info'			,       action='store_true'			,       help='Save the dataset infos file'       )
							run_beam_parser.add_argument(
							    '--ignore_verifications'			,       action='store_true'			,       help='Run the test without checksums and splits checks'       )
							run_beam_parser.add_argument('--force_redownload'			,       action='store_true'			,       help='Force dataset redownload'       )
							# aliases
							run_beam_parser.add_argument('--save_infos'			,       action='store_true'			,       help='alias for save_info'       )
							run_beam_parser.set_defaults(func=lowerCamelCase__       )

	def __init__(				self			,       UpperCAmelCase			,       UpperCAmelCase			,       UpperCAmelCase			,       UpperCAmelCase			,       UpperCAmelCase			,       UpperCAmelCase			,       UpperCAmelCase			,       UpperCAmelCase			,       UpperCAmelCase			,       **UpperCAmelCase			,       ):
							"""simple docstring"""







							_UpperCAmelCase							   =     dataset
							_UpperCAmelCase							   =     name
							_UpperCAmelCase							   =     cache_dir
							_UpperCAmelCase							   =     beam_pipeline_options
							_UpperCAmelCase							   =     data_dir
							_UpperCAmelCase							   =     all_configs
							_UpperCAmelCase							   =     save_infos
							_UpperCAmelCase							   =     ignore_verifications
							_UpperCAmelCase							   =     force_redownload
							_UpperCAmelCase							   =     config_kwargs

	def 			UpperCamelCase       (				self       ):
							"""simple docstring"""







							import apache_beam as beam

							if self._name is not None and self._all_configs:
													print('Both parameters `name` and `all_configs` can\'t be used at once.'       )
													exit(1       )
							_UpperCAmelCase   ,					_UpperCAmelCase							   =     self._dataset, self._name
							_UpperCAmelCase							   =     dataset_module_factory(lowerCamelCase__       )
							_UpperCAmelCase							   =     import_main_class(dataset_module.module_path       )
							_UpperCAmelCase							   =     []
							if self._beam_pipeline_options:
													_UpperCAmelCase							   =     beam.options.pipeline_options.PipelineOptions(
													    flags=[F"""--{opt.strip()}""" for opt in self._beam_pipeline_options.split(','       ) if opt]       )
							else:
													_UpperCAmelCase							   =     None
							if self._all_configs and len(builder_cls.BUILDER_CONFIGS       ) > 0:
													for builder_config in builder_cls.BUILDER_CONFIGS:
																			builders.append(
																			    builder_cls(
																			        config_name=builder_config.name			,       data_dir=self._data_dir			,       hash=dataset_module.hash			,       beam_options=lowerCamelCase__			,       cache_dir=self._cache_dir			,       base_path=dataset_module.builder_kwargs.get('base_path'       )			,       )       )
							else:
													builders.append(
													    builder_cls(
													        config_name=lowerCamelCase__			,       data_dir=self._data_dir			,       beam_options=lowerCamelCase__			,       cache_dir=self._cache_dir			,       base_path=dataset_module.builder_kwargs.get('base_path'       )			,       **self._config_kwargs			,       )       )

							for builder in builders:
													builder.download_and_prepare(
													    download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
													    if not self._force_redownload
													    else DownloadMode.FORCE_REDOWNLOAD			,       download_config=DownloadConfig(cache_dir=config.DOWNLOADED_DATASETS_PATH       )			,       verification_mode=VerificationMode.NO_CHECKS
													    if self._ignore_verifications
													    else VerificationMode.ALL_CHECKS			,       try_from_hf_gcs=lowerCamelCase__			,       )
													if self._save_infos:
																			builder._save_infos()

							print('Apache beam run successful.'       )

							# If save_infos=True, the dataset infos file is created next to the loaded module file.
							# Let's move it to the original directory of the dataset script, to allow the user to
							# upload them on S3 at the same time afterwards.
							if self._save_infos:
													_UpperCAmelCase							   =     os.path.join(builder_cls.get_imported_module_dir()			,       config.DATASETDICT_INFOS_FILENAME       )

													_UpperCAmelCase							   =     Path(lowerCamelCase__       ).name + '.py'

													_UpperCAmelCase							   =     os.path.join(lowerCamelCase__			,       lowerCamelCase__       )
													if os.path.isfile(lowerCamelCase__       ):
																			_UpperCAmelCase							   =     os.path.dirname(lowerCamelCase__       )
													elif os.path.isfile(lowerCamelCase__       ):
																			_UpperCAmelCase							   =     path
													else:  # in case of a remote dataset
																			print(F"""Dataset Infos file saved at {dataset_infos_path}"""       )
																			exit(1       )

													# Move datasetinfo back to the user
													_UpperCAmelCase							   =     os.path.join(lowerCamelCase__			,       config.DATASETDICT_INFOS_FILENAME       )
													copyfile(lowerCamelCase__			,       lowerCamelCase__       )
													print(F"""Dataset Infos file saved at {user_dataset_infos_path}"""       )

"""simple docstring"""






import requests

try:
						from django.contrib.auth import authenticate, login
						from django.shortcuts import redirect, render
except ImportError:
						lowerCAmelCase__    :    Union[str, Any]			=      print



def     a_		(   lowerCamelCase			):
				# Enter your recaptcha secret key here
				UpperCAmelCase__			 =				'secretKey'
				UpperCAmelCase__			 =				'https://www.google.com/recaptcha/api/siteverify'

				# when method is not POST, direct user to login page
				if request.method != "POST":
								return render(lowerCamelCase   ,     'login.html'			)

				# from the frontend, get username, password, and client_key
				UpperCAmelCase__			 =				request.POST.get('username'			)
				UpperCAmelCase__			 =				request.POST.get('password'			)
				UpperCAmelCase__			 =				request.POST.get('g-recaptcha-response'			)

				# post recaptcha response to Google's recaptcha api
				UpperCAmelCase__			 =				requests.post(lowerCamelCase   ,     data={'secret': secret_key, 'response': client_key}			)
				# if the recaptcha api verified our keys
				if response.json().get('success'   ,     lowerCamelCase			):
								# authenticate the user
								UpperCAmelCase__			 =				authenticate(lowerCamelCase   ,     username=lowerCamelCase   ,     password=lowerCamelCase			)
								if user_in_database:
												login(lowerCamelCase   ,     lowerCamelCase			)
												return redirect('/your-webpage'			)
				return render(lowerCamelCase   ,     'login.html'			)



