


"""simple docstring"""


from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class 						_UpperCamelCase						(     UpperCamelCase_	):
							'''simple docstring'''







							def     snake_case       (  self			):
										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			):
										__lowerCAmelCase       					=    {"col_1": [3, 2, 1, 0], "col_2": ["a", "b", "c", "d"]}
										return Dataset.from_dict(__A			)

							def     snake_case       (  self			):
										__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     snake_case       (  self			):
										__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     snake_case       (  self			):  # checks what happens with missing columns
										__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     snake_case       (  self			):  # checks if the type can be inferred from the second record
										__lowerCAmelCase       					=    [{"col_1": []}, {"col_1": [1, 2]}]
										__lowerCAmelCase       					=    Dataset.from_list(__A			)
										self.assertEqual(dset.info.features["col_1"]					,     Sequence(Value("int64"			)			)			)



							def     snake_case       (  self			):
										__lowerCAmelCase       					=    Dataset.from_list([]			)
										self.assertEqual(len(__A			)					,     0			)
										self.assertListEqual(dset.column_names					,     []			)









"""simple docstring"""


import cmath
import math


def _lowerCamelCase			(	_UpperCamelCase					,				_UpperCamelCase					,				_UpperCamelCase					,				_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    math.radians(_UpperCamelCase   )
			__lowerCAmelCase       					=    math.radians(_UpperCamelCase   )

			# Convert voltage and current to rectangular form
			__lowerCAmelCase       					=    cmath.rect(_UpperCamelCase					,				_UpperCamelCase   )
			__lowerCAmelCase       					=    cmath.rect(_UpperCamelCase					,				_UpperCamelCase   )

			# Calculate apparent power
			return voltage_rect * current_rect


if __name__ == "__main__":
	import doctest

	doctest.testmod()




