


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_lowercase       :      Optional[Any]	=	{
    'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
    'tokenization_biogpt': ['BioGptTokenizer'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _lowercase       :      Optional[Any]	=	[
        'BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'BioGptForCausalLM',
        'BioGptForTokenClassification',
        'BioGptForSequenceClassification',
        'BioGptModel',
        'BioGptPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
    from .tokenization_biogpt import BioGptTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_biogpt import (
            BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
            BioGptForCausalLM,
            BioGptForSequenceClassification,
            BioGptForTokenClassification,
            BioGptModel,
            BioGptPreTrainedModel,
        )


else:
    import sys

    _lowercase       :      Dict	=	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)







from __future__ import annotations

import requests





def   _lowerCAmelCase				(   UpperCamelCase__:     str						) ->   dict:





	"""simple docstring"""







	A								=				f'https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty'
	return requests.get(UpperCamelCase__						).json()





def   _lowerCAmelCase				(   UpperCamelCase__:     int = 10						) ->   list[dict]:





	"""simple docstring"""







	A								=				"""https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty"""
	A								=				requests.get(UpperCamelCase__						).json()[:max_stories]
	return [get_hackernews_story(UpperCamelCase__						) for story_id in story_ids]





def   _lowerCAmelCase				(   UpperCamelCase__:     int = 10						) ->   str:





	"""simple docstring"""







	A								=				hackernews_top_stories(UpperCamelCase__						)
	return "\n".join("""* [{title}]({url})""".format(**UpperCamelCase__						) for story in stories						)


if __name__ == "__main__":
				print(hackernews_top_stories_as_markdown())



