from datetime import date

import requests

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


def       a__      (					)		->	str:
       A_							:       Optional[Any]	      =				requests.get(a							).json()['''data'''][0]
       return last_half_hour["intensity"]["actual"]


def       a__      (					a  ,   a							)		->	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() = }')



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_lowerCAmelCase        =       {
    'auto_factory': ['get_values'],
    'configuration_auto': ['ALL_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CONFIG_MAPPING', 'MODEL_NAMES_MAPPING', 'AutoConfig'],
    'feature_extraction_auto': ['FEATURE_EXTRACTOR_MAPPING', 'AutoFeatureExtractor'],
    'image_processing_auto': ['IMAGE_PROCESSOR_MAPPING', 'AutoImageProcessor'],
    'processing_auto': ['PROCESSOR_MAPPING', 'AutoProcessor'],
    'tokenization_auto': ['TOKENIZER_MAPPING', 'AutoTokenizer'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCAmelCase        =       [
        'MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING',
        'MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING',
        'MODEL_FOR_AUDIO_XVECTOR_MAPPING',
        'MODEL_FOR_BACKBONE_MAPPING',
        'MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING',
        'MODEL_FOR_CAUSAL_LM_MAPPING',
        'MODEL_FOR_CTC_MAPPING',
        'MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING',
        'MODEL_FOR_DEPTH_ESTIMATION_MAPPING',
        'MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING',
        'MODEL_FOR_IMAGE_SEGMENTATION_MAPPING',
        'MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING',
        'MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING',
        'MODEL_FOR_MASKED_LM_MAPPING',
        'MODEL_FOR_MASK_GENERATION_MAPPING',
        'MODEL_FOR_MULTIPLE_CHOICE_MAPPING',
        'MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING',
        'MODEL_FOR_OBJECT_DETECTION_MAPPING',
        'MODEL_FOR_PRETRAINING_MAPPING',
        'MODEL_FOR_QUESTION_ANSWERING_MAPPING',
        'MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING',
        'MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING',
        'MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING',
        'MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING',
        'MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING',
        'MODEL_FOR_TEXT_ENCODING_MAPPING',
        'MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING',
        'MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING',
        'MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING',
        'MODEL_FOR_VISION_2_SEQ_MAPPING',
        'MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING',
        'MODEL_MAPPING',
        'MODEL_WITH_LM_HEAD_MAPPING',
        'MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING',
        'MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING',
        'AutoModel',
        'AutoBackbone',
        'AutoModelForAudioClassification',
        'AutoModelForAudioFrameClassification',
        'AutoModelForAudioXVector',
        'AutoModelForCausalLM',
        'AutoModelForCTC',
        'AutoModelForDepthEstimation',
        'AutoModelForImageClassification',
        'AutoModelForImageSegmentation',
        'AutoModelForInstanceSegmentation',
        'AutoModelForMaskGeneration',
        'AutoModelForTextEncoding',
        'AutoModelForMaskedImageModeling',
        'AutoModelForMaskedLM',
        'AutoModelForMultipleChoice',
        'AutoModelForNextSentencePrediction',
        'AutoModelForObjectDetection',
        'AutoModelForPreTraining',
        'AutoModelForQuestionAnswering',
        'AutoModelForSemanticSegmentation',
        'AutoModelForSeq2SeqLM',
        'AutoModelForSequenceClassification',
        'AutoModelForSpeechSeq2Seq',
        'AutoModelForTableQuestionAnswering',
        'AutoModelForTokenClassification',
        'AutoModelForUniversalSegmentation',
        'AutoModelForVideoClassification',
        'AutoModelForVision2Seq',
        'AutoModelForVisualQuestionAnswering',
        'AutoModelForDocumentQuestionAnswering',
        'AutoModelWithLMHead',
        'AutoModelForZeroShotImageClassification',
        'AutoModelForZeroShotObjectDetection',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCAmelCase        =       [
        'TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING',
        'TF_MODEL_FOR_CAUSAL_LM_MAPPING',
        'TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING',
        'TF_MODEL_FOR_MASK_GENERATION_MAPPING',
        'TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING',
        'TF_MODEL_FOR_MASKED_LM_MAPPING',
        'TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING',
        'TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING',
        'TF_MODEL_FOR_PRETRAINING_MAPPING',
        'TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING',
        'TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING',
        'TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING',
        'TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING',
        'TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING',
        'TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING',
        'TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING',
        'TF_MODEL_FOR_TEXT_ENCODING_MAPPING',
        'TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING',
        'TF_MODEL_FOR_VISION_2_SEQ_MAPPING',
        'TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING',
        'TF_MODEL_MAPPING',
        'TF_MODEL_WITH_LM_HEAD_MAPPING',
        'TFAutoModel',
        'TFAutoModelForAudioClassification',
        'TFAutoModelForCausalLM',
        'TFAutoModelForImageClassification',
        'TFAutoModelForMaskedImageModeling',
        'TFAutoModelForMaskedLM',
        'TFAutoModelForMaskGeneration',
        'TFAutoModelForMultipleChoice',
        'TFAutoModelForNextSentencePrediction',
        'TFAutoModelForPreTraining',
        'TFAutoModelForDocumentQuestionAnswering',
        'TFAutoModelForQuestionAnswering',
        'TFAutoModelForSemanticSegmentation',
        'TFAutoModelForSeq2SeqLM',
        'TFAutoModelForSequenceClassification',
        'TFAutoModelForSpeechSeq2Seq',
        'TFAutoModelForTableQuestionAnswering',
        'TFAutoModelForTextEncoding',
        'TFAutoModelForTokenClassification',
        'TFAutoModelForVision2Seq',
        'TFAutoModelForZeroShotImageClassification',
        'TFAutoModelWithLMHead',
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowerCAmelCase        =       [
        'FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING',
        'FLAX_MODEL_FOR_CAUSAL_LM_MAPPING',
        'FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING',
        'FLAX_MODEL_FOR_MASKED_LM_MAPPING',
        'FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING',
        'FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING',
        'FLAX_MODEL_FOR_PRETRAINING_MAPPING',
        'FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING',
        'FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING',
        'FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING',
        'FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING',
        'FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING',
        'FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING',
        'FLAX_MODEL_MAPPING',
        'FlaxAutoModel',
        'FlaxAutoModelForCausalLM',
        'FlaxAutoModelForImageClassification',
        'FlaxAutoModelForMaskedLM',
        'FlaxAutoModelForMultipleChoice',
        'FlaxAutoModelForNextSentencePrediction',
        'FlaxAutoModelForPreTraining',
        'FlaxAutoModelForQuestionAnswering',
        'FlaxAutoModelForSeq2SeqLM',
        'FlaxAutoModelForSequenceClassification',
        'FlaxAutoModelForSpeechSeq2Seq',
        'FlaxAutoModelForTokenClassification',
        'FlaxAutoModelForVision2Seq',
    ]


if TYPE_CHECKING:
    from .auto_factory import get_values
    from .configuration_auto import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP, CONFIG_MAPPING, MODEL_NAMES_MAPPING, AutoConfig
    from .feature_extraction_auto import FEATURE_EXTRACTOR_MAPPING, AutoFeatureExtractor
    from .image_processing_auto import IMAGE_PROCESSOR_MAPPING, AutoImageProcessor
    from .processing_auto import PROCESSOR_MAPPING, AutoProcessor
    from .tokenization_auto import TOKENIZER_MAPPING, AutoTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_auto import (
            MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
            MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING,
            MODEL_FOR_AUDIO_XVECTOR_MAPPING,
            MODEL_FOR_BACKBONE_MAPPING,
            MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING,
            MODEL_FOR_CAUSAL_LM_MAPPING,
            MODEL_FOR_CTC_MAPPING,
            MODEL_FOR_DEPTH_ESTIMATION_MAPPING,
            MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
            MODEL_FOR_IMAGE_SEGMENTATION_MAPPING,
            MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING,
            MODEL_FOR_MASK_GENERATION_MAPPING,
            MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
            MODEL_FOR_MASKED_LM_MAPPING,
            MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            MODEL_FOR_OBJECT_DETECTION_MAPPING,
            MODEL_FOR_PRETRAINING_MAPPING,
            MODEL_FOR_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
            MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
            MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_TEXT_ENCODING_MAPPING,
            MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
            MODEL_FOR_UNIVERSAL_SEGMENTATION_MAPPING,
            MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING,
            MODEL_FOR_VISION_2_SEQ_MAPPING,
            MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING,
            MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
            MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING,
            MODEL_MAPPING,
            MODEL_WITH_LM_HEAD_MAPPING,
            AutoBackbone,
            AutoModel,
            AutoModelForAudioClassification,
            AutoModelForAudioFrameClassification,
            AutoModelForAudioXVector,
            AutoModelForCausalLM,
            AutoModelForCTC,
            AutoModelForDepthEstimation,
            AutoModelForDocumentQuestionAnswering,
            AutoModelForImageClassification,
            AutoModelForImageSegmentation,
            AutoModelForInstanceSegmentation,
            AutoModelForMaskedImageModeling,
            AutoModelForMaskedLM,
            AutoModelForMaskGeneration,
            AutoModelForMultipleChoice,
            AutoModelForNextSentencePrediction,
            AutoModelForObjectDetection,
            AutoModelForPreTraining,
            AutoModelForQuestionAnswering,
            AutoModelForSemanticSegmentation,
            AutoModelForSeqaSeqLM,
            AutoModelForSequenceClassification,
            AutoModelForSpeechSeqaSeq,
            AutoModelForTableQuestionAnswering,
            AutoModelForTextEncoding,
            AutoModelForTokenClassification,
            AutoModelForUniversalSegmentation,
            AutoModelForVideoClassification,
            AutoModelForVisionaSeq,
            AutoModelForVisualQuestionAnswering,
            AutoModelForZeroShotImageClassification,
            AutoModelForZeroShotObjectDetection,
            AutoModelWithLMHead,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_auto import (
            TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING,
            TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_MASK_GENERATION_MAPPING,
            TF_MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING,
            TF_MODEL_FOR_MASKED_LM_MAPPING,
            TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            TF_MODEL_FOR_PRETRAINING_MAPPING,
            TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
            TF_MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING,
            TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
            TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING,
            TF_MODEL_FOR_TEXT_ENCODING_MAPPING,
            TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
            TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
            TF_MODEL_FOR_ZERO_SHOT_IMAGE_CLASSIFICATION_MAPPING,
            TF_MODEL_MAPPING,
            TF_MODEL_WITH_LM_HEAD_MAPPING,
            TFAutoModel,
            TFAutoModelForAudioClassification,
            TFAutoModelForCausalLM,
            TFAutoModelForDocumentQuestionAnswering,
            TFAutoModelForImageClassification,
            TFAutoModelForMaskedImageModeling,
            TFAutoModelForMaskedLM,
            TFAutoModelForMaskGeneration,
            TFAutoModelForMultipleChoice,
            TFAutoModelForNextSentencePrediction,
            TFAutoModelForPreTraining,
            TFAutoModelForQuestionAnswering,
            TFAutoModelForSemanticSegmentation,
            TFAutoModelForSeqaSeqLM,
            TFAutoModelForSequenceClassification,
            TFAutoModelForSpeechSeqaSeq,
            TFAutoModelForTableQuestionAnswering,
            TFAutoModelForTextEncoding,
            TFAutoModelForTokenClassification,
            TFAutoModelForVisionaSeq,
            TFAutoModelForZeroShotImageClassification,
            TFAutoModelWithLMHead,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_auto import (
            FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_CAUSAL_LM_MAPPING,
            FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_MASKED_LM_MAPPING,
            FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING,
            FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING,
            FLAX_MODEL_FOR_PRETRAINING_MAPPING,
            FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING,
            FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
            FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
            FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING,
            FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING,
            FLAX_MODEL_MAPPING,
            FlaxAutoModel,
            FlaxAutoModelForCausalLM,
            FlaxAutoModelForImageClassification,
            FlaxAutoModelForMaskedLM,
            FlaxAutoModelForMultipleChoice,
            FlaxAutoModelForNextSentencePrediction,
            FlaxAutoModelForPreTraining,
            FlaxAutoModelForQuestionAnswering,
            FlaxAutoModelForSeqaSeqLM,
            FlaxAutoModelForSequenceClassification,
            FlaxAutoModelForSpeechSeqaSeq,
            FlaxAutoModelForTokenClassification,
            FlaxAutoModelForVisionaSeq,
        )

else:
    import sys

    _lowerCAmelCase        =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


