




"""simple docstring"""







import sys

SCREAMING_SNAKE_CASE_	     =       (
    '73167176531330624919225119674426574742355349194934'
    '96983520312774506326239578318016984801869478851843'
    '85861560789112949495459501737958331952853208805511'
    '12540698747158523863050715693290963295227443043557'
    '66896648950445244523161731856403098711121722383113'
    '62229893423380308135336276614282806444486645238749'
    '30358907296290491560440772390713810515859307960866'
    '70172427121883998797908792274921901699720888093776'
    '65727333001053367881220235421809751254540594752243'
    '52584907711670556013604839586446706324415722155397'
    '53697817977846174064955149290862569321978468622482'
    '83972241375657056057490261407972968652414535100474'
    '82166370484403199890008895243450658541227588666881'
    '16427171479924442928230863465674813919123162824586'
    '17866458359124566529476545682848912883142607690042'
    '24219022671055626321111109370544217506941658960408'
    '07198403850962455444362981230987879927244284909188'
    '84580156166097919133875499200524063689912560717606'
    '05886116467109405077541002256983155200055935729725'
    '71636269561882670428252483600823257530420752963450'
)





def      __snake_case (				_lowercase    ):


    """simple docstring"""







    UpperCamelCase              =	1
    for digit in s:
        product *= int(_lowercase    )
    return product





def      __snake_case (				_lowercase = N    ):


    """simple docstring"""







    UpperCamelCase              =	-sys.maxsize - 1
    UpperCamelCase              =	n[:13]
    UpperCamelCase              =	13
    while cur_index < len(_lowercase    ) - 13:
        if int(n[cur_index]    ) >= int(substr[0]    ):
            UpperCamelCase              =	substr[1:] + n[cur_index]
            cur_index += 1
        else:
            UpperCamelCase              =	max(_lowercase			,str_eval(_lowercase    )    )
            UpperCamelCase              =	n[cur_index : cur_index + 13]
            cur_index += 13
    return largest_product


if __name__ == "__main__":
  print(f'{solution() = }')
UpperCAmelCase_           =				'''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

UpperCAmelCase_           =				[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
UpperCAmelCase_           =				{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}