






from __future__ import annotations

def _UpperCAmelCase   (	a						:	str  ,					a						:	str ):
							snake_case__	  =       get_failure_array(a )

							# 2) Step through text searching for pattern
							snake_case__  , snake_case__	  =       0, 0  # index into text, pattern
							while i < len(a ):
														if pattern[j] == text[i]:
																					if j == (len(a ) - 1):
																												return True
																					j += 1

														# if this is a prefix in our pattern
														# just go back far enough to continue
														elif j > 0:
																					snake_case__	  =       failure[j - 1]
																					continue
														i += 1
							return False

def _UpperCAmelCase   (	a						:	str ):
							snake_case__	  =       [0]
							snake_case__	  =       0
							snake_case__	  =       1
							while j < len(a ):
														if pattern[i] == pattern[j]:
																					i += 1
														elif i > 0:
																					snake_case__	  =       failure[i - 1]
																					continue
														j += 1
														failure.append(a )
							return failure


if __name__ == "__main__":
	# Test 1)
	a__       =     """abc1abc12"""
	a__       =     """alskfjaldsabc1abc1abc12k23adsfabcabc"""
	a__       =     """alskfjaldsk23adsfabcabc"""
	assert kmp(pattern, texta) and not kmp(pattern, texta)

	# Test 2)
	a__       =     """ABABX"""
	a__       =     """ABABZABABYABABX"""
	assert kmp(pattern, text)

	# Test 3)
	a__       =     """AAAB"""
	a__       =     """ABAAAAAB"""
	assert kmp(pattern, text)

	# Test 4)
	a__       =     """abcdabcy"""
	a__       =     """abcxabcdabxabcdabcdabcy"""
	assert kmp(pattern, text)

	# Test 5)
	a__       =     """aabaabaaa"""
	assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]








import requests
from bsa import BeautifulSoup

def _UpperCAmelCase   (	a						:	str  ,					a						:	dict ):
							snake_case__	  =       BeautifulSoup(requests.get(a  ,					params=a ).content  ,					"""html.parser""" )
							snake_case__	  =       soup.find("""div"""  ,					attrs={"""class""": """gs_ri"""} )
							snake_case__	  =       div.find("""div"""  ,					attrs={"""class""": """gs_fl"""} ).find_all("""a""" )
							return anchors[2].get_text()


if __name__ == "__main__":
	a__       =     {
	    """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))
