


from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return getitem, k
def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_    ):



     """simple docstring"""






     return setitem, k, v
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     return delitem, k
def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_							,*UpperCamelCase_    ):



     """simple docstring"""






     try:
          return fun(UpperCamelCase_							,*UpperCamelCase_    ), None
     except Exception as e:
          return None, e


_SCREAMING_SNAKE_CASE      :			Dict      				=   (
    _set("key_a", "val_a"),
    _set("key_b", "val_b"),
)

_SCREAMING_SNAKE_CASE      :			int      				=   [
    _set("key_a", "val_a"),
    _set("key_a", "val_b"),
]

_SCREAMING_SNAKE_CASE      :			Optional[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"),
]

_SCREAMING_SNAKE_CASE      :			Dict      				=   [
    _get("key_a"),
    _del("key_a"),
    _set("key_a", "val_a"),
    _del("key_a"),
    _del("key_a"),
    _get("key_a"),
]

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

_SCREAMING_SNAKE_CASE      :			List[Any]      				=   [
    *[_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       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     snake_case					=    HashMap(initial_block_size=4    )
     snake_case					=    {}
     for _, (fun, *args) in enumerate(UpperCamelCase_    ):
          snake_case			,  snake_case					=    _run_operation(UpperCamelCase_							,UpperCamelCase_							,*UpperCamelCase_    )
          snake_case			,  snake_case					=    _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       UpperCAmelCase__						():



     """simple docstring"""






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

     snake_case					=    {name for name in dir({}    ) if is_public(UpperCamelCase_    )}
     snake_case					=    {name for name in dir(HashMap()    ) if is_public(UpperCamelCase_    )}

     assert dict_public_names > hash_public_names








import math

class   A__ :







    """simple docstring"""

    def 		a_      (	self      , __snake_case      , __snake_case   ):
         snake_case					=    0.0
         snake_case					=    0.0
         for i in range(len(__snake_case   )   ):
              da += math.pow((sample[i] - weights[0][i])      , 2   )
              da += math.pow((sample[i] - weights[1][i])      , 2   )
              return 0 if da > da else 1
         return 0




    def 		a_      (	self      , __snake_case      , __snake_case      , __snake_case      , __snake_case   ):
         for i in range(len(__snake_case   )   ):
              weights[j][i] += alpha * (sample[i] - weights[j][i])
         return weights






def       UpperCAmelCase__						():



     """simple docstring"""






     snake_case					=    [[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

     # weight initialization ( n, C )
     snake_case					=    [[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

     # training
     snake_case					=    SelfOrganizingMap()
     snake_case					=    3
     snake_case					=    0.5

     for _ in range(UpperCamelCase_    ):
          for j in range(len(UpperCamelCase_    )    ):
               # training sample
               snake_case					=    training_samples[j]

               # Compute the winning vector
               snake_case					=    self_organizing_map.get_winner(UpperCamelCase_							,UpperCamelCase_    )

               # Update the winning vector
               snake_case					=    self_organizing_map.update(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_    )

    # classify test sample
     snake_case					=    [0, 0, 0, 1]
     snake_case					=    self_organizing_map.get_winner(UpperCamelCase_							,UpperCamelCase_    )

     # results
     print(F'''Clusters that the test sample belongs to : {winner}'''    )
     print(F'''Weights that have been trained : {weights}'''    )


# running the main() function
if __name__ == "__main__":
 main()




