1c08e6a70c5114d1b2a771d2ef88d6e1f03c82b2,nilearn/image/image.py,,math_img,#Any#,670

Before Change

    data_dict["np"] = np
    try:
        result = eval(formula, data_dict)
    except Exception as e:
        raise ValueError("Input formula couldn"t be processed: {0}"
                         .format(e))

    return new_img_like(niimg, result, niimg.get_affine())

After Change

        for image in imgs.values():
            niimgs.append(check_niimg(image))
        _check_same_fov(*niimgs, raise_error=True)
    except Exception as exc:
        exc.args = (("Input images cannot be compared, you provided "{0}","
                     .format(imgs.values()),) + exc.args)
        raise

    // Computing input data as a dictionary of numpy arrays. Keep a reference
    // niimg for building the result as a new niimg.
    niimg = None

Instances