
"""simple docstring"""





from typing import TYPE_CHECKING

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


_a	 =							{
    'configuration_led': ['LED_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LEDConfig'],
    'tokenization_led': ['LEDTokenizer'],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _a	 =							['LEDTokenizerFast']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _a	 =							[
        'LED_PRETRAINED_MODEL_ARCHIVE_LIST',
        'LEDForConditionalGeneration',
        'LEDForQuestionAnswering',
        'LEDForSequenceClassification',
        'LEDModel',
        'LEDPreTrainedModel',
    ]


try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _a	 =							['TFLEDForConditionalGeneration', 'TFLEDModel', 'TFLEDPreTrainedModel']


if TYPE_CHECKING:
    from .configuration_led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig
    from .tokenization_led import LEDTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_led_fast import LEDTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_led import (
            LED_PRETRAINED_MODEL_ARCHIVE_LIST,
            LEDForConditionalGeneration,
            LEDForQuestionAnswering,
            LEDForSequenceClassification,
            LEDModel,
            LEDPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel

else:
    import sys

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




"""simple docstring"""





def 			__a  (	__lowerCamelCase = 1000						):
   UpperCAmelCase_      :      List[Any]      =					0
   UpperCAmelCase_      :      List[str]      =					(n - 1) // 3
   total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
   UpperCAmelCase_      :      Any      =					(n - 1) // 5
   total += ((terms) * (10 + (terms - 1) * 5)) // 2
   UpperCAmelCase_      :      Optional[int]      =					(n - 1) // 15
   total -= ((terms) * (30 + (terms - 1) * 15)) // 2
   return total


if __name__ == "__main__":
    print(f"""{solution() = }""")


