





"""simple docstring"""
from typing import TYPE_CHECKING

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


__UpperCamelCase     :						Any						       =  {'''configuration_xglm''': ['''XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XGLMConfig''']}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase     :						Optional[int]						       =  ['''XGLMTokenizer''']

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase     :						int						       =  ['''XGLMTokenizerFast''']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase     :						str						       =  [
           '''XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''XGLMForCausalLM''',
           '''XGLMModel''',
           '''XGLMPreTrainedModel''',
       ]


try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase     :						Optional[Any]						       =  [
           '''FlaxXGLMForCausalLM''',
           '''FlaxXGLMModel''',
           '''FlaxXGLMPreTrainedModel''',
       ]


try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase     :						Tuple						       =  [
           '''TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''TFXGLMForCausalLM''',
           '''TFXGLMModel''',
           '''TFXGLMPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_xglm import XGLMTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_xglm_fast import XGLMTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_xglm import (
                  TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFXGLMForCausalLM,
                  TFXGLMModel,
                  TFXGLMPreTrainedModel,
              )


else:
       import sys

       __UpperCamelCase     :						List[Any]						       =  _LazyModule(__name__, globals()['''__file__'''], _import_structure)












"""simple docstring"""
from __future__ import annotations

import requests

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str			):
 lowerCAmelCase    				= F'https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty'
 return requests.get(_UpperCAmelCase			).json()

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    int = 10			):
 lowerCAmelCase    				= 'https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty'
 lowerCAmelCase    				= requests.get(_UpperCAmelCase			).json()[:max_stories]
 return [get_hackernews_story(_UpperCAmelCase			) for story_id in story_ids]

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    int = 10			):
 lowerCAmelCase    				= hackernews_top_stories(_UpperCAmelCase			)
 return "\n".join('* [{title}]({url})'.format(**_UpperCAmelCase			) for story in stories			)


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





