f9aea094643fb3240193b0bc0f1908d5b84d82ab,dask_image/ndmeasure/__init__.py,,center_of_mass,#,24

Before Change



    input_wt_mtch_sum = []
    for i in _pycompat.irange(input.ndim):
        sl = input.ndim * [None]
        sl[i] = slice(None)
        sl = tuple(sl)

        input_i = dask.array.arange(input.shape[i], chunks=input.chunks[i])
        input_wt = input * input_i[sl]

After Change


    index = index.T

    type_mapping = collections.OrderedDict([
        (("%i" % i), input.dtype) for i in _pycompat.irange(input.ndim)
    ])
    out_dtype = numpy.dtype(list(type_mapping.items()))

    default_1d = numpy.full((1,), numpy.nan, dtype=out_dtype)

    func = functools.partial(
        _utils._center_of_mass, shape=input.shape, dtype=out_dtype
    )
    com_lbl = labeled_comprehension(
        input, labels, index,
        func, out_dtype, default_1d[0], pass_positions=True
    )
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 4

Non-data size: 6

Instances


Project Name: dask/dask-image
Commit Name: f9aea094643fb3240193b0bc0f1908d5b84d82ab
Time: 2018-09-30
Author: jakirkham@gmail.com
File Name: dask_image/ndmeasure/__init__.py
Class Name:
Method Name: center_of_mass


Project Name: dit/dit
Commit Name: 46324d0e05c679b2cf50b81289fe2886456f6e51
Time: 2017-09-19
Author: ryangregoryjames@gmail.com
File Name: dit/pid/ibroja.py
Class Name: BROJAOptimizer
Method Name: objective


Project Name: kundajelab/dragonn
Commit Name: 9c158b87f5fb2dca1ed95884e667ab2fc218e1b7
Time: 2017-05-01
Author: jisraeli@stanford.edu
File Name: dragonn/models.py
Class Name: SequenceDNN
Method Name: deeplift


Project Name: sony/nnabla-examples
Commit Name: 56926bc8b4a158e1c40cddbc795303bc6a66f44d
Time: 2019-05-23
Author: sukriti.mehrotra@sony.com
File Name: semantic-segmentation/deeplabv3plus/image_preprocess.py
Class Name:
Method Name: resize