3aeca23cf4fd4cd752039b17120467544b05c283,nilearn/image/resampling.py,,resample_img,#Any#Any#Any#Any#Any#Any#,130

Before Change


                // We need to do a copy to avoid modifying the input
                // array
                data = data.copy()
            data[not_finite] = 0
        resampled_data = ndimage.affine_transform(data, A,
                                                  offset=np.dot(A_inv, b),
                                                  output_shape=target_shape,
                                                  order=interpolation_order)

After Change


                    // array
                    img = img.copy()
                from ..masking import _extrapolate_out_mask
                img = _extrapolate_out_mask(img, np.logical_not(not_finite),
                                            iterations=2)[0]

            // The resampling itself
            resampled_data[all_img + ind] = \
                                   ndimage.affine_transform(img, A,
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: nilearn/nilearn
Commit Name: 3aeca23cf4fd4cd752039b17120467544b05c283
Time: 2014-05-16
Author: gael.varoquaux@normalesup.org
File Name: nilearn/image/resampling.py
Class Name:
Method Name: resample_img


Project Name: dmlc/dgl
Commit Name: e19cd62ecdd14097926e707bf854360b8ee9862e
Time: 2019-01-05
Author: coin2028@hotmail.com
File Name: python/dgl/graph_index.py
Class Name: GraphIndex
Method Name: incidence_matrix


Project Name: nilearn/nilearn
Commit Name: cfba4f7c496a43d711883bf4d94e8d4f7ed84075
Time: 2012-06-28
Author: abraham.alexandre@gmail.com
File Name: plot_haxby_searchlight.py
Class Name:
Method Name: