


'''simple docstring'''

import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
	from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
	from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
	from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


_UpperCAmelCase				: Tuple							    =				DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

_UpperCAmelCase				: List[str]							    =				"""main"""
# Default branch name
_UpperCAmelCase				: str							    =				"""f2c752cfc5c0ab6f4bdec59acea69eefbee381c2"""
# One particular commit (not the top of `main`)
_UpperCAmelCase				: Any							    =				"""aaaaaaa"""
# This commit does not exist, so we should 404.

_UpperCAmelCase				: Union[str, Any]							    =				"""d9e9f15bc825e4b2c9249e9578f884bbcb5e3684"""
# Sha-1 of config.json on the top of `main`, for checking purposes
_UpperCAmelCase				: Tuple							    =				"""4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3"""

@contextlib.contextmanager
def 							__magic_name__(						):
						print('''Welcome!''')
						yield
						print('''Bye!''')

@contextlib.contextmanager
def 							__magic_name__(						):
						print('''Bonjour!''')
						yield
						print('''Au revoir!''')


class       a__				( unittest.TestCase      ):







				"""simple docstring"""



				def 					_snake_case  (self		):
										# If the spec is missing, importlib would not be able to import the module dynamically.
										assert transformers.__spec__ is not None
										assert importlib.util.find_spec('''transformers'''		) is not None


class       a__				( unittest.TestCase      ):







				"""simple docstring"""



				@unittest.mock.patch('''sys.stdout'''       ,			new_callable=io.StringIO		)
				def 					_snake_case  (self       ,			__lowercase		):
										with ContextManagers([]		):
																print('''Transformers are awesome!'''		)
										# The print statement adds a new line at the end of the output
										self.assertEqual(mock_stdout.getvalue()       ,			'''Transformers are awesome!\n'''		)




				@unittest.mock.patch('''sys.stdout'''       ,			new_callable=io.StringIO		)
				def 					_snake_case  (self       ,			__lowercase		):
										with ContextManagers([context_en()]		):
																print('''Transformers are awesome!'''		)
										# The output should be wrapped with an English welcome and goodbye
										self.assertEqual(mock_stdout.getvalue()       ,			'''Welcome!\nTransformers are awesome!\nBye!\n'''		)




				@unittest.mock.patch('''sys.stdout'''       ,			new_callable=io.StringIO		)
				def 					_snake_case  (self       ,			__lowercase		):
										with ContextManagers([context_fr(), context_en()]		):
																print('''Transformers are awesome!'''		)
										# The output should be wrapped with an English and French welcome and goodbye
										self.assertEqual(mock_stdout.getvalue()       ,			'''Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n'''		)




				@require_torch
				def 					_snake_case  (self		):
										self.assertEqual(find_labels(__lowercase		)       ,			['''labels''']		)
										self.assertEqual(find_labels(__lowercase		)       ,			['''labels''', '''next_sentence_label''']		)
										self.assertEqual(find_labels(__lowercase		)       ,			['''start_positions''', '''end_positions''']		)


										class       a__				( __A      ):







														"""simple docstring"""



														pass

										self.assertEqual(find_labels(__lowercase		)       ,			['''labels''']		)




				@require_tf
				def 					_snake_case  (self		):
										self.assertEqual(find_labels(__lowercase		)       ,			['''labels''']		)
										self.assertEqual(find_labels(__lowercase		)       ,			['''labels''', '''next_sentence_label''']		)
										self.assertEqual(find_labels(__lowercase		)       ,			['''start_positions''', '''end_positions''']		)


										class       a__				( __A      ):







														"""simple docstring"""



														pass

										self.assertEqual(find_labels(__lowercase		)       ,			['''labels''']		)




				@require_flax
				def 					_snake_case  (self		):
										# Flax models don't have labels
										self.assertEqual(find_labels(__lowercase		)       ,			[]		)
										self.assertEqual(find_labels(__lowercase		)       ,			[]		)
										self.assertEqual(find_labels(__lowercase		)       ,			[]		)


										class       a__				( __A      ):







														"""simple docstring"""



														pass

										self.assertEqual(find_labels(__lowercase		)       ,			[]		)





'''simple docstring'''

import requests
from bsa import BeautifulSoup

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


if __name__ == "__main__":
	_UpperCAmelCase				: Union[str, Any]							    =				{
	    """title""": (
	        """Precisely geometry controlled microsupercapacitors for ultrahigh areal """
	        """capacitance, volumetric capacitance, and energy density"""
	    ),
	    """journal""": """Chem. Mater.""",
	    """volume""": 3_0,
	    """pages""": """3979-3990""",
	    """year""": 2_0_1_8,
	    """hl""": """en""",
	}
	print(get_citation("""https://scholar.google.com/scholar_lookup""", params=params))

