def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :int    						=	1  # To kept the Calculated Value
    # Since C(n, k) = C(n, n-k)
    if k > (n - k):
        __UpperCamelCase  :Tuple    						=	n - k
    # Calculate C(n,k)
    for i in range(SCREAMING_SNAKE_CASE			):
        result *= n - i
        result //= i + 1
    return result



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    return binomial_coefficient(2 * node_count						,    SCREAMING_SNAKE_CASE			) // (node_count + 1)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    if n < 0:
        raise ValueError('''factorial() not defined for negative values'''			)
    __UpperCamelCase  :Union[str, Any]    						=	1
    for i in range(1						,    n + 1			):
        result *= i
    return result



def lowerCamelCase						(     SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    return catalan_number(SCREAMING_SNAKE_CASE			) * factorial(SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
    __lowercase											=      int(input('''Enter the number of nodes: ''').strip() or 0)
    if node_count <= 0:
        raise ValueError('''We need some nodes to work with.''')
    print(
        F'Given {node_count} nodes, there are {binary_tree_count(node_count)} '
        F'binary trees and {catalan_number(node_count)} binary search trees.'
    )






import requests
from bsa import BeautifulSoup



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :List[Any]    						=	BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE						,    params=SCREAMING_SNAKE_CASE			).content						,    '''html.parser'''			)
    __UpperCamelCase  :int    						=	soup.find('''div'''						,    attrs={'''class''': '''gs_ri'''}			)
    __UpperCamelCase  :Union[str, Any]    						=	div.find('''div'''						,    attrs={'''class''': '''gs_fl'''}			).find_all('''a'''			)
    return anchors[2].get_text()


if __name__ == "__main__":
    __lowercase											=      {
        '''title''': (
            '''Precisely geometry controlled microsupercapacitors for ultrahigh areal '''
            '''capacitance, volumetric capacitance, and energy density'''
        ),
        '''journal''': '''Chem. Mater.''',
        '''volume''': 30,
        '''pages''': '''3979-3990''',
        '''year''': 2018,
        '''hl''': '''en''',
    }
    print(get_citation('''https://scholar.google.com/scholar_lookup''', params=params))





