pytest - 调用生成输入的函数以填充 pytest.mark.parametrize 的输入以获得所需的测试次数
pytest - call a function that generates inputs to fill in inputs for pytest.mark.parametrize for desired number of tests
我有一个函数可以为一次测试生成输入,我想随机调用该函数几次,以使用 @pytest.mark.parametrize
[=13= 将输入发送到我的 testing_function ]
## part that generates inputs needed
import numpy as np
def generate_proper_list():
return np.random.uniform(low=0.1, high=8.0, size=(np.random.randint(low=1,high=5,size=1)[0],4))
### I would like to run this test for desired number of time, like for 4 tests, 5 tests etc,.
## by invoking above function to generate inputs for each test.
@pytest.mark.parametrize('rand_nums', <some-thing>)
def test_proper_random(rand_nums)
payload = {'input':rand_nums}
response = client.post(..., data=json.dumps(payload).encode('utf-8'),...)
assert response.status_code == 200
我该怎么做?
夹具可用于为您的测试函数提供随机输入数据,然后您想使用参数化来执行该函数 n
次。
import numpy as np
@pytest.fixture
def random_input():
return np.random.uniform(low=0.1, high=8.0, size=(np.random.randint(low=1,high=5,size=1)[0],4))
@pytest.mark.parametrize("n_times", range(5))
def test_proper_random(n_times, random_input)
payload = {'input':random_input}
response = client.post(..., data=json.dumps(payload).encode('utf-8'),...)
assert response.status == 200
我有一个函数可以为一次测试生成输入,我想随机调用该函数几次,以使用 @pytest.mark.parametrize
[=13= 将输入发送到我的 testing_function ]
## part that generates inputs needed
import numpy as np
def generate_proper_list():
return np.random.uniform(low=0.1, high=8.0, size=(np.random.randint(low=1,high=5,size=1)[0],4))
### I would like to run this test for desired number of time, like for 4 tests, 5 tests etc,.
## by invoking above function to generate inputs for each test.
@pytest.mark.parametrize('rand_nums', <some-thing>)
def test_proper_random(rand_nums)
payload = {'input':rand_nums}
response = client.post(..., data=json.dumps(payload).encode('utf-8'),...)
assert response.status_code == 200
我该怎么做?
夹具可用于为您的测试函数提供随机输入数据,然后您想使用参数化来执行该函数 n
次。
import numpy as np
@pytest.fixture
def random_input():
return np.random.uniform(low=0.1, high=8.0, size=(np.random.randint(low=1,high=5,size=1)[0],4))
@pytest.mark.parametrize("n_times", range(5))
def test_proper_random(n_times, random_input)
payload = {'input':random_input}
response = client.post(..., data=json.dumps(payload).encode('utf-8'),...)
assert response.status == 200