



'''simple docstring'''

from datetime import date

import requests

_A					:     Dict      ='''https://api.carbonintensity.org.uk/intensity'''







def     __UpperCamelCase					(				)			->      str:
	_lowercase       :							int  	=		requests.get(_lowercase       ).json()['data'][0]
	return last_half_hour["intensity"]["actual"]







def     __UpperCamelCase					(				_lowercase,					_lowercase       )			->      list:
	return requests.get(f'''{BASE_URL}/{start}/{end}'''       ).json()["data"]


if __name__ == "__main__":
		for entry in fetch_from_to(start=date(2_0_2_0, 1_0, 1), end=date(2_0_2_0, 1_0, 3)):
				print('''from {from} to {to}: {intensity[actual]}'''.format(**entry))
		print(F'''{fetch_last_half_hour() = }''')





'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A					:     List[Any]      ={'''configuration_umt5''': ['''UMT5Config''', '''UMT5OnnxConfig''']}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_A					:     Optional[Any]      =[
		    '''UMT5EncoderModel''',
		    '''UMT5ForConditionalGeneration''',
		    '''UMT5ForQuestionAnswering''',
		    '''UMT5Model''',
		    '''UMT5PreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_umta import UMTaConfig, UMTaOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_umta import (
				    UMTaEncoderModel,
				    UMTaForConditionalGeneration,
				    UMTaForQuestionAnswering,
				    UMTaModel,
				    UMTaPreTrainedModel,
				)
else:
		import sys

		_A					:     Optional[int]      =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
