



from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap





def   __snake_case			(    _UpperCAmelCase       ):
    return getitem, k





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase       ):
    return setitem, k, v





def   __snake_case			(    _UpperCAmelCase       ):
    return delitem, k





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase     ,				*_UpperCAmelCase       ):
    try:
        return fun(_UpperCAmelCase     ,				*_UpperCAmelCase       ), None
    except Exception as e:
        return None, e


__snake_case		:Optional[int]   	=  (
    _set('''key_a''', '''val_a'''),
    _set('''key_b''', '''val_b'''),
)

__snake_case		:List[Any]   	=  [
    _set('''key_a''', '''val_a'''),
    _set('''key_a''', '''val_b'''),
]

__snake_case		:Union[str, Any]   	=  [
    _set('''key_a''', '''val_a'''),
    _set('''key_b''', '''val_b'''),
    _del('''key_a'''),
    _del('''key_b'''),
    _set('''key_a''', '''val_a'''),
    _del('''key_a'''),
]

__snake_case		:Dict   	=  [
    _get('''key_a'''),
    _del('''key_a'''),
    _set('''key_a''', '''val_a'''),
    _del('''key_a'''),
    _del('''key_a'''),
    _get('''key_a'''),
]

__snake_case		:Tuple   	=  [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

__snake_case		:Tuple   	=  [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set('''key_a''', '''val_b'''),
]





@pytest.mark.parametrize(
    '''operations'''     ,				(
        pytest.param(_add_items     ,				id='''add items'''       ),
        pytest.param(_overwrite_items     ,				id='''overwrite items'''       ),
        pytest.param(_delete_items     ,				id='''delete items'''       ),
        pytest.param(_access_absent_items     ,				id='''access absent items'''       ),
        pytest.param(_add_with_resize_up     ,				id='''add with resize up'''       ),
        pytest.param(_add_with_resize_down     ,				id='''add with resize down'''       ),
    )     ,				)
def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       HashMap(initial_block_size=4       )
    __a		 =       {}
    for _, (fun, *args) in enumerate(_UpperCAmelCase       ):
        __a ,     __a		 =       _run_operation(_UpperCAmelCase     ,				_UpperCAmelCase     ,				*_UpperCAmelCase       )
        __a ,     __a		 =       _run_operation(_UpperCAmelCase     ,				_UpperCAmelCase     ,				*_UpperCAmelCase       )
        assert my_res == py_res
        assert str(_UpperCAmelCase       ) == str(_UpperCAmelCase       )
        assert set(_UpperCAmelCase       ) == set(_UpperCAmelCase       )
        assert len(_UpperCAmelCase       ) == len(_UpperCAmelCase       )
        assert set(my.items()       ) == set(py.items()       )





def   __snake_case			(    ):
    def is_public(_UpperCAmelCase       ) -> bool:
        return not name.startswith('''_'''       )

    __a		 =       {name for name in dir({}       ) if is_public(_UpperCAmelCase       )}
    __a		 =       {name for name in dir(HashMap()       ) if is_public(_UpperCAmelCase       )}

    assert dict_public_names > hash_public_names










from unittest import TestCase

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

class 					_A (			__UpperCAmelCase					):



       def 	_lowerCamelCase    (	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 	_lowerCamelCase    (	self							:  Tuple):


           '''simple docstring'''

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



       def 	_lowerCamelCase    (	self							:  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 	_lowerCamelCase    (	self							:  Optional[Any]):


           '''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 	_lowerCamelCase    (	self							:  int):  # 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 	_lowerCamelCase    (	self							:  Optional[Any]):  # 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 	_lowerCamelCase    (	self							:  List[Any]):


           '''simple docstring'''

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





