


'''simple docstring'''

import os
from pathlib import Path






def __UpperCamelCase   (			)      ->     Optional[Any]:







     '''simple docstring'''






     from torch.utils.cpp_extension import load

     _a						=		Path(__lowerCamelCase				).resolve().parent.parent.parent / "kernels" / "deformable_detr"
     _a						=		[
         root / filename
         for filename in [
             "vision.cpp",
             os.path.join("cpu"      ,  "ms_deform_attn_cpu.cpp"				),
             os.path.join("cuda"      ,  "ms_deform_attn_cuda.cu"				),
         ]
     ]

     load(
         "MultiScaleDeformableAttention"      ,  __lowerCamelCase      ,  with_cuda=__lowerCamelCase      ,  extra_include_paths=[str(__lowerCamelCase				)]      ,  extra_cflags=["-DWITH_CUDA=1"]      ,  extra_cuda_cflags=[
             "-DCUDA_HAS_FP16=1",
             "-D__CUDA_NO_HALF_OPERATORS__",
             "-D__CUDA_NO_HALF_CONVERSIONS__",
             "-D__CUDA_NO_HALF2_OPERATORS__",
         ]      ,  )

     import MultiScaleDeformableAttention as MSDA

     return MSDA





'''simple docstring'''

from __future__ import annotations

import requests






def __UpperCamelCase   (			__lowerCamelCase		: str				)      ->     dict:







     '''simple docstring'''






     _a						=		F"https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"
     return requests.get(__lowerCamelCase				).json()






def __UpperCamelCase   (			__lowerCamelCase		: int = 10				)      ->     list[dict]:







     '''simple docstring'''






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






def __UpperCamelCase   (			__lowerCamelCase		: int = 10				)      ->     str:







     '''simple docstring'''






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


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

