"""simple docstring"""







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__					(						UpperCAmelCase__				:	Dict						,	**UpperCAmelCase__				:	Any	)->		Union[str, Any]:
						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						,	**UpperCamelCase__						,	)







class 	_lowercase						(      UpperCamelCase__     ):

				@staticmethod
				def 				A       (   _lowercase				:			ArgumentParser   ):


										'''simple docstring'''
										UpperCAmelCase__    		=						parser.add_parser("""run_beam"""				,			help="""Run a Beam dataset processing pipeline"""   )
										run_beam_parser.add_argument("""dataset"""				,			type=__A				,			help="""Name of the dataset to download"""   )
										run_beam_parser.add_argument("""--name"""				,			type=__A				,			default=__A				,			help="""Dataset config name"""   )
										run_beam_parser.add_argument(
										    """--cache_dir"""				,			type=__A				,			default=__A				,			help="""Cache directory where the datasets are stored"""				,			)
										run_beam_parser.add_argument(
										    """--beam_pipeline_options"""				,			type=__A				,			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=__A				,			default=__A				,			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=__A   )

				def __init__(   self				:			str				,			_lowercase				:			str				,			_lowercase				:			str				,			_lowercase				:			str				,			_lowercase				:			str				,			_lowercase				:			str				,			_lowercase				:			bool				,			_lowercase				:			bool				,			_lowercase				:			bool				,			_lowercase				:			bool				,			**_lowercase				:			int				,			):


										'''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 				A       (   self				:			List[Any]   ):


										'''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(__A   )
										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=__A				,			cache_dir=self._cache_dir				,			base_path=dataset_module.builder_kwargs.get("""base_path"""   )				,			)   )
										else:
																builders.append(
																    builder_cls(
																        config_name=__A				,			data_dir=self._data_dir				,			beam_options=__A				,			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=__A				,			)
																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(__A   ).name + """.py"""

																UpperCAmelCase__    		=						os.path.join(__A				,			__A   )
																if os.path.isfile(__A   ):
																						UpperCAmelCase__    		=						os.path.dirname(__A   )
																elif os.path.isfile(__A   ):
																						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(__A				,			config.DATASETDICT_INFOS_FILENAME   )
																copyfile(__A				,			__A   )
																print(f'Dataset Infos file saved at {user_dataset_infos_path}'   )








from datetime import date

import requests

_lowerCamelCase       =	'https://api.carbonintensity.org.uk/intensity'






def  SCREAMING_SNAKE_CASE__							(				):
		SCREAMING_SNAKE_CASE__								=					requests.get(UpperCamelCase__			).json()["""data"""][0]
		return last_half_hour["intensity"]["actual"]






def  SCREAMING_SNAKE_CASE__							(				UpperCamelCase__:							Dict    ,      UpperCamelCase__:							Optional[int]			):
		return requests.get(f'''{BASE_URL}/{start}/{end}'''			).json()["data"]


if __name__ == "__main__":
	for entry in fetch_from_to(start=date(2020, 10, 1), end=date(2020, 10, 3)):
		print('from {from} to {to}: {intensity[actual]}'.format(**entry))
	print(F'''{fetch_last_half_hour() = }''')