Ejemplo n.º 1
0
 def test_search_not_found(self):
     self.DATA_SIZE = 1000
     seed(0)
     self.data = sample(range(self.DATA_SIZE * 3), k=self.DATA_SIZE)
     self.data.sort()
     result = linear_search(self.data, self.DATA_SIZE * 4)
     self.assertFalse(result)
     result = recursive_binary_search(self.data, self.DATA_SIZE * 4)
     self.assertFalse(result)
     result = jump_search(self.data, self.DATA_SIZE * 4)
     self.assertFalse(result)
Ejemplo n.º 2
0
def test_search_not_found():
    gen = make_data()
    data = next(gen)

    result = linear_search(data, DATA_SIZE * 4)
    assert not result

    result = binary_search(data, DATA_SIZE * 4)
    assert not result

    result = jump_search(data, DATA_SIZE * 4)
    assert not result
Ejemplo n.º 3
0
def test_search_at_middle():
    gen = make_data()
    data = next(gen)

    result = linear_search(data, data[(DATA_SIZE // 2) - 1])
    assert result

    result = binary_search(data, data[(DATA_SIZE // 2) - 1])
    assert result

    result = jump_search(data, data[(DATA_SIZE // 2) - 1])
    assert result
Ejemplo n.º 4
0
def test_search_at_beginning():
    gen = make_data()
    data = next(gen)

    result = linear_search(data, data[0])
    assert result

    result = binary_search(data, data[0])
    assert result

    result = jump_search(data, data[0])
    assert result
Ejemplo n.º 5
0
    def test_search_at_middle(self):
        self.DATA_SIZE = 1000
        seed(0)
        self.data = sample(range(self.DATA_SIZE * 3), k=self.DATA_SIZE)
        self.data.sort()

        result = linear_search(self.data, self.data[(self.DATA_SIZE // 2) - 1])
        self.assertTrue(result) 
        
        result = recursive_binary_search(self.data, self.data[(self.DATA_SIZE // 2) - 1])
        self.assertTrue(result) 

        result = jump_search(self.data, self.data[(self.DATA_SIZE // 2) - 1])
        self.assertTrue(result) 
Ejemplo n.º 6
0
def test_search_at_end():
    gen = make_data()
    data = next(gen)

    start = time.perf_counter()
    result = binary_search(data, data[-1])
    fastest = time.perf_counter() - start
    assert result

    start = time.perf_counter()
    result = linear_search(data, data[-1])
    slowest = time.perf_counter() - start
    assert result
    assert fastest * 10000 < slowest * 10000

    start = time.perf_counter()
    result = jump_search(data, data[-1])
    fastest = time.perf_counter() - start
    assert result
    assert fastest * 10000 < slowest * 10000
Ejemplo n.º 7
0
    def test_search_at_end(self):
        self.DATA_SIZE = 1000000
        seed(0)
        self.data = sample(range(self.DATA_SIZE * 3), k=self.DATA_SIZE)
        self.data.sort()

        start = time.perf_counter()
        result = recursive_binary_search(self.data, self.data[-1])
        fastest = time.perf_counter() - start
        self.assertTrue(result) 

        start = time.perf_counter()
        result = linear_search(self.data, self.data[-1])
        slowest = time.perf_counter() - start
        self.assertTrue(result)
        self.assertLess(fastest * 10000, slowest * 10000)

        start = time.perf_counter()
        result = jump_search(self.data, self.data[-1])
        fastest = time.perf_counter() - start
        self.assertTrue(result)
        self.assertLess(fastest * 10000, slowest * 10000)