




from unittest import TestCase

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






class lowerCAmelCase__			(  lowercase		):






			'''simple docstring'''



			def       A_					(						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       A_					(						self						):
							_lowerCamelCase  :    str					=					{'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
							return Dataset.from_dict(lowercase						)
			def       A_					(						self						):
							_lowerCamelCase  :    Tuple					=					self._create_example_records()
							_lowerCamelCase  :    Union[str, Any]					=					Dataset.from_list(lowercase						)
							self.assertListEqual(dset.column_names						,   ['col_1', 'col_2']						)
							for i, r in enumerate(lowercase						):
											self.assertDictEqual(lowercase						,   example_records[i]						)
			def       A_					(						self						):
							_lowerCamelCase  :    Dict					=					self._create_example_records()
							_lowerCamelCase  :    int					=					Dataset.from_list(lowercase						)
							_lowerCamelCase  :    int					=					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						):  # checks what happens with missing columns
							_lowerCamelCase  :    Optional[int]					=					[{'col_1': 1}, {'col_2': 'x'}]
							_lowerCamelCase  :    Union[str, Any]					=					Dataset.from_list(lowercase						)
							self.assertDictEqual(dset[0]						,   {'col_1': 1}						)
							self.assertDictEqual(dset[1]						,   {'col_1': None}						)  # NB: first record is used for columns
			def       A_					(						self						):  # checks if the type can be inferred from the second record
							_lowerCamelCase  :    Union[str, Any]					=					[{'col_1': []}, {'col_1': [1, 2]}]
							_lowerCamelCase  :    int					=					Dataset.from_list(lowercase						)
							self.assertEqual(dset.info.features['col_1']						,   Sequence(Value('int64'						)						)						)






			def       A_					(						self						):
							_lowerCamelCase  :    Optional[Any]					=					Dataset.from_list([]						)
							self.assertEqual(len(lowercase						)						,   0						)
							self.assertListEqual(dset.column_names						,   []						)





"""simple docstring"""






from math import pow, sqrt







def   _snake_case    (       *lowercase__	):
				_lowerCamelCase  :    Dict					=					len(lowercase__	) > 0 and all(value > 0.0 for value in values	)
				return result







def   _snake_case    (       lowercase__							,					lowercase__	):
				return (
				    round(sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__	)
				    else ValueError('Input Error: Molar mass values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(molar_mass / pow(effusion_rate_a / effusion_rate_a							,					2	)							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)







def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return (
				    round(pow(effusion_rate_a / effusion_rate_a							,					2	) / molar_mass							,					6	)
				    if validate(lowercase__							,					lowercase__							,					lowercase__	)
				    else ValueError(
				        'Input Error: Molar mass and effusion rate values must greater than 0.'	)
				)