




from __future__ import annotations

import requests

def 		lowercase_      (		_UpperCAmelCase	):




	"""simple docstring"""






	A_  :				Union[str, Any]	   =		f"""https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"""
	return requests.get(_UpperCAmelCase	).json()

def 		lowercase_      (		_UpperCAmelCase = 10	):




	"""simple docstring"""






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

def 		lowercase_      (		_UpperCAmelCase = 10	):




	"""simple docstring"""






	A_  :				Optional[Any]	   =		hackernews_top_stories(_UpperCAmelCase	)
	return "\n".join('''* [{title}]({url})'''.format(**_UpperCAmelCase	) for story in stories	)


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











"""simple docstring"""

from typing import TYPE_CHECKING

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


_lowerCamelCase  :			Optional[Any]        =       {
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase  :			int        =       ['Mask2FormerImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase  :			Tuple        =       [
		    'MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'Mask2FormerForUniversalSegmentation',
		    'Mask2FormerModel',
		    'Mask2FormerPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_maskaformer import MaskaFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_maskaformer import (
				    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaskaFormerForUniversalSegmentation,
				    MaskaFormerModel,
				    MaskaFormerPreTrainedModel,
				)


else:
		import sys

		_lowerCamelCase  :			Optional[Any]        =       _LazyModule(__name__, globals()['__file__'], _import_structure)





