f1e6577b856fa088ad1af728d8387d1932658ce4,scipy/optimize/tests/test__linprog_clean_inputs.py,,test__clean_inputs2,#,282
Before Change
def test__clean_inputs2():
c = 1
A_ub = [[1]]
b_ub = 1
A_eq = [[1]]
b_eq = 1
bounds = (0, 1)
outputs = _clean_inputs(
c=c,
A_ub=A_ub,
b_ub=b_ub,
A_eq=A_eq,
b_eq=b_eq,
bounds=bounds)
assert_allclose(outputs[0], np.array(c))
assert_allclose(outputs[1], np.array(A_ub))
assert_allclose(outputs[2], np.array(b_ub))
assert_allclose(outputs[3], np.array(A_eq))
After Change
def test__clean_inputs2():
lp = _LPProblem(
c=1,
A_ub=[[1]],
b_ub=1,
A_eq=[[1]],
b_eq=1,
bounds=(0, 1)
)
lp_cleaned = _clean_inputs(lp)
assert_allclose(lp_cleaned.c, np.array(lp.c))
assert_allclose(lp_cleaned.A_ub, np.array(lp.A_ub))
assert_allclose(lp_cleaned.b_ub, np.array(lp.b_ub))
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 13
Instances
Project Name: scipy/scipy
Commit Name: f1e6577b856fa088ad1af728d8387d1932658ce4
Time: 2019-08-13
Author: chelsea.liu@datadoghq.com
File Name: scipy/optimize/tests/test__linprog_clean_inputs.py
Class Name:
Method Name: test__clean_inputs2
Project Name: scipy/scipy
Commit Name: f1e6577b856fa088ad1af728d8387d1932658ce4
Time: 2019-08-13
Author: chelsea.liu@datadoghq.com
File Name: scipy/optimize/tests/test__linprog_clean_inputs.py
Class Name:
Method Name: test_aliasing
Project Name: scipy/scipy
Commit Name: 0fbce92e3ecf2dae1c4819d4c970724184d12d41
Time: 2019-10-27
Author: chelsea.liu@datadoghq.com
File Name: scipy/optimize/tests/test__linprog_clean_inputs.py
Class Name:
Method Name: test_aliasing
Project Name: scipy/scipy
Commit Name: 0fbce92e3ecf2dae1c4819d4c970724184d12d41
Time: 2019-10-27
Author: chelsea.liu@datadoghq.com
File Name: scipy/optimize/tests/test__linprog_clean_inputs.py
Class Name:
Method Name: test__clean_inputs2