




from unittest import TestCase

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







class   A(						__SCREAMING_SNAKE_CASE   ):



 '''simple docstring'''


 def 				a__ (				self					:  Any  )   ->	Tuple:

       """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 				a__ (				self					:  Optional[int]  )   ->	Optional[int]:

       """simple docstring"""






       lowerCamelCase_		     =    {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
       return Dataset.from_dict(_a  )

 def 				a__ (				self					:  Tuple  )   ->	List[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    self._create_example_records()
       lowerCamelCase_		     =    Dataset.from_list(_a  )
       self.assertListEqual(dset.column_names						,							['col_1', 'col_2']  )
       for i, r in enumerate(_a  ):
             self.assertDictEqual(_a						,							example_records[i]  )

 def 				a__ (				self					:  Tuple  )   ->	str:

       """simple docstring"""






       lowerCamelCase_		     =    self._create_example_records()
       lowerCamelCase_		     =    Dataset.from_list(_a  )
       lowerCamelCase_		     =    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 				a__ (				self					:  Optional[Any]  )   ->	List[str]:  # checks what happens with missing columns

       """simple docstring"""






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

 def 				a__ (				self					:  List[Any]  )   ->	Union[str, Any]:  # checks if the type can be inferred from the second record

       """simple docstring"""






       lowerCamelCase_		     =    [{'col_1': []}, {'col_1': [1, 2]}]
       lowerCamelCase_		     =    Dataset.from_list(_a  )
       self.assertEqual(dset.info.features['col_1']						,							Sequence(Value('int64'  )  )  )





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

       """simple docstring"""






       lowerCamelCase_		     =    Dataset.from_list([]  )
       self.assertEqual(len(_a  )						,							0  )
       self.assertListEqual(dset.column_names						,							[]  )







"""simple docstring"""




import math

def        lowercase							(		lowerCAmelCase__ :     list    ,					lowerCAmelCase__ :     int			) ->      int:
		__a           =			len(lowerCAmelCase__			)
		__a           =			int(math.floor(math.sqrt(lowerCAmelCase__			)			)			)
		__a           =			0
		while arr[min(lowerCAmelCase__    ,					lowerCAmelCase__			) - 1] < x:
				__a           =			step
				step += int(math.floor(math.sqrt(lowerCAmelCase__			)			)			)
				if prev >= n:
						return -1

		while arr[prev] < x:
				__a           =			prev + 1
				if prev == min(lowerCAmelCase__    ,					lowerCAmelCase__			):
						return -1
		if arr[prev] == x:
				return prev
		return -1


if __name__ == "__main__":
				lowercase_			     =  input("Enter numbers separated by a comma:\n").strip()
				lowercase_			     =  [int(item) for item in user_input.split(",")]
				lowercase_			     =  int(input("Enter the number to be searched:\n"))
				lowercase_			     =  jump_search(arr, x)
				if res == -1:
								print("Number not found!")
				else:
								print(F'''Number {x} is at index {res}''')






