




"""simple docstring"""







import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict

@dataclass
class 				snake_case_			(					lowerCamelCase_			):







   """simple docstring"""




   A_				      =       ComputeEnvironment.AMAZON_SAGEMAKER
   A_				      =       True
   A_				      =       '''ml.p3.2xlarge'''
   A_				      =       '''accelerate_sagemaker_execution_role'''
   A_				      =       '''hf-sm'''
   A_				      =       '''us-east-1'''
   A_				      =       1
   A_				      =       '''accelerate-sagemaker-1'''
   A_				      =       '''1.6'''
   A_				      =       '''4.4'''
   A_				      =       '''train.py'''
   A_				      =       [
       '''--model_name_or_path''',
       '''bert''',
       '''--do_train''',
       '''False''',
       '''--epochs''',
       '''3''',
       '''--learning_rate''',
       '''5e-5''',
       '''--max_steps''',
       '''50.5''',
   ]
   A_				      =       [
       '''--model_name_or_path''',
       '''bert''',
       '''--do_train''',
       '''--do_test''',
       '''False''',
       '''--do_predict''',
       '''--epochs''',
       '''3''',
       '''--learning_rate''',
       '''5e-5''',
       '''--max_steps''',
       '''50.5''',
   ]

class 				snake_case_			(					unittest.TestCase			):







   """simple docstring"""




   def   UpperCAmelCase__			(		self)				->   List[Any]:
       # If no defaults are changed, `to_kwargs` returns an empty dict.
       UpperCamelCase              =	_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args)
       assert isinstance(converted_args['''model_name_or_path''']       ,					lowerCamelCase_)
       assert isinstance(converted_args['''do_train''']       ,					lowerCamelCase_)
       assert isinstance(converted_args['''epochs''']       ,					lowerCamelCase_)
       assert isinstance(converted_args['''learning_rate''']       ,					lowerCamelCase_)
       assert isinstance(converted_args['''max_steps''']       ,					lowerCamelCase_)

       with pytest.raises(lowerCamelCase_):
           _convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args)




import requests
from bsa import BeautifulSoup






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= BeautifulSoup(requests.get(__UpperCAmelCase							,  params=__UpperCAmelCase       ).content							,  '''html.parser'''       )
 a__												= soup.find('''div'''							,  attrs={'''class''': '''gs_ri'''}       )
 a__												= div.find('''div'''							,  attrs={'''class''': '''gs_fl'''}       ).find_all('''a'''       )
 return anchors[2].get_text()


if __name__ == "__main__":
     a_      :      Optional[Any]    =     {
         'title': (
             'Precisely geometry controlled microsupercapacitors for ultrahigh areal '
             'capacitance, volumetric capacitance, and energy density'
         ),
         'journal': 'Chem. Mater.',
         'volume': 30,
         'pages': '3979-3990',
         'year': 20_18,
         'hl': 'en',
     }
     print(get_citation('https://scholar.google.com/scholar_lookup', params=params))





