




'''simple docstring'''





from datetime import date

import requests

_SCREAMING_SNAKE_CASE							:     List[str]   	=				"""https://api.carbonintensity.org.uk/intensity"""


def   UpperCamelCase_(			):

							'''simple docstring'''






							snake_case_			      =   requests.get(snake_case  ).json()["data"][0]
							return last_half_hour["intensity"]["actual"]


def   UpperCamelCase_(			snake_case							: Any							,       snake_case							: Dict  ):

							'''simple docstring'''






							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() = }")






'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


_SCREAMING_SNAKE_CASE							:     Dict   	=				{
    "configuration_mobilevitv2": [
        "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MobileViTV2Config",
        "MobileViTV2OnnxConfig",
    ],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE							:     Optional[Any]   	=				[
		    "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "MobileViTV2ForImageClassification",
		    "MobileViTV2ForSemanticSegmentation",
		    "MobileViTV2Model",
		    "MobileViTV2PreTrainedModel",
		]

if TYPE_CHECKING:
		from .configuration_mobilevitva import (
		    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    MobileViTVaConfig,
		    MobileViTVaOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mobilevitva import (
				    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MobileViTVaForImageClassification,
				    MobileViTVaForSemanticSegmentation,
				    MobileViTVaModel,
				    MobileViTVaPreTrainedModel,
				)

else:
		import sys

		_SCREAMING_SNAKE_CASE							:     Any   	=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




