

'''simple docstring'''







from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset


class    A__ ( __SCREAMING_SNAKE_CASE     ):



    def    snake_case_     (   self    )  -> int:





           '''simple docstring'''
           return [
               {"col_1": 3, "col_2": "a"},
               {"col_1": 2, "col_2": "b"},
               {"col_1": 1, "col_2": "c"},
               {"col_1": 0, "col_2": "d"},
           ]



    def    snake_case_     (   self    )  -> str:





           '''simple docstring'''
           A_		   = {"col_1": [3, 2, 1, 0], "col_2": ["a", "b", "c", "d"]}
           return Dataset.from_dict(_SCREAMING_SNAKE_CASE    )



    def    snake_case_     (   self    )  -> Union[str, Any]:





           '''simple docstring'''
           A_		   = self._create_example_records()
           A_		   = Dataset.from_list(_SCREAMING_SNAKE_CASE    )
           self.assertListEqual(dset.column_names						,			["""col_1""", """col_2"""]    )
           for i, r in enumerate(_SCREAMING_SNAKE_CASE    ):
                  self.assertDictEqual(_SCREAMING_SNAKE_CASE						,			example_records[i]    )



    def    snake_case_     (   self    )  -> str:





           '''simple docstring'''
           A_		   = self._create_example_records()
           A_		   = Dataset.from_list(_SCREAMING_SNAKE_CASE    )
           A_		   = Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}    )
           self.assertEqual(dset.info						,			dset_from_dict.info    )



    def    snake_case_     (   self    )  -> Dict:  # checks what happens with missing columns





           '''simple docstring'''
           A_		   = [{"col_1": 1}, {"col_2": "x"}]
           A_		   = Dataset.from_list(_SCREAMING_SNAKE_CASE    )
           self.assertDictEqual(dset[0]						,			{"""col_1""": 1}    )
           self.assertDictEqual(dset[1]						,			{"""col_1""": None}    )  # NB: first record is used for columns



    def    snake_case_     (   self    )  -> Optional[int]:  # checks if the type can be inferred from the second record





           '''simple docstring'''
           A_		   = [{"col_1": []}, {"col_1": [1, 2]}]
           A_		   = Dataset.from_list(_SCREAMING_SNAKE_CASE    )
           self.assertEqual(dset.info.features["""col_1"""]						,			Sequence(Value("""int64"""    )    )    )







    def    snake_case_     (   self    )  -> int:





           '''simple docstring'''
           A_		   = Dataset.from_list([]    )
           self.assertEqual(len(_SCREAMING_SNAKE_CASE    )						,			0    )
           self.assertListEqual(dset.column_names						,			[]    )



'''simple docstring'''







import sys

__lowerCamelCase						    =      (
    '''73167176531330624919225119674426574742355349194934'''
    '''96983520312774506326239578318016984801869478851843'''
    '''85861560789112949495459501737958331952853208805511'''
    '''12540698747158523863050715693290963295227443043557'''
    '''66896648950445244523161731856403098711121722383113'''
    '''62229893423380308135336276614282806444486645238749'''
    '''30358907296290491560440772390713810515859307960866'''
    '''70172427121883998797908792274921901699720888093776'''
    '''65727333001053367881220235421809751254540594752243'''
    '''52584907711670556013604839586446706324415722155397'''
    '''53697817977846174064955149290862569321978468622482'''
    '''83972241375657056057490261407972968652414535100474'''
    '''82166370484403199890008895243450658541227588666881'''
    '''16427171479924442928230863465674813919123162824586'''
    '''17866458359124566529476545682848912883142607690042'''
    '''24219022671055626321111109370544217506941658960408'''
    '''07198403850962455444362981230987879927244284909188'''
    '''84580156166097919133875499200524063689912560717606'''
    '''05886116467109405077541002256983155200055935729725'''
    '''71636269561882670428252483600823257530420752963450'''
)
def  UpperCAmelCase__      ( UpperCAmelCase__ = N			)     ->     int:
       A_		   = -sys.maxsize - 1
       for i in range(len(UpperCAmelCase__			) - 12			):
              A_		   = 1
              for j in range(13			):
                     product *= int(n[i + j]			)
              if product > largest_product:
                     A_		   = product
       return largest_product


if __name__ == "__main__":
      print(f"""{solution() = }""")
