aa9d770505d914aea76888e5eb11b5ddad54ce77,skimage/feature/corner.py,,hessian_matrix,#Any#Any#Any#Any#,102

Before Change


    Hxy = np.gradient(dx, axis=0)
    Hyy = np.gradient(dy, axis=0)

    return Hxx, Hxy, Hyy


def hessian_matrix_det(image, sigma):

After Change


                                            mode=mode, cval=cval)

    gradients = np.gradient(gaussian_filtered)
    axes = range(image.ndim)
    H_elems = [np.gradient(gradients[ax0], axis=ax1)
               for ax0, ax1 in combinations_with_replacement(axes, 2)]

    return H_elems

Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: scikit-image/scikit-image
Commit Name: aa9d770505d914aea76888e5eb11b5ddad54ce77
Time: 2016-07-16
Author: juan.n@unimelb.edu.au
File Name: skimage/feature/corner.py
Class Name:
Method Name: hessian_matrix


Project Name: tensorlayer/tensorlayer
Commit Name: 641a28fbf0daff0ad1ad0f43d2c4b545cb6f9656
Time: 2019-02-16
Author: dhsig552@163.com
File Name: examples/reinforcement_learning/tutorial_cartpole_ac.py
Class Name: Actor
Method Name: learn


Project Name: tensorlayer/tensorlayer
Commit Name: 641a28fbf0daff0ad1ad0f43d2c4b545cb6f9656
Time: 2019-02-16
Author: dhsig552@163.com
File Name: examples/reinforcement_learning/tutorial_cartpole_ac.py
Class Name: Critic
Method Name: learn