cbbcea8795e8da754a5b3ffb1a08ef66afd84eef,dask_image/ndmeasure/_utils.py,,_ravel_shape_indices,#,54

Before Change


        dimensions, dtype=dtype, chunks=chunks
    )

    indices = list(indices)
    for i in _pycompat.irange(len(indices)):
        indices[i] *= dtype.type(numpy.prod(indices[i].shape[i + 1:]))
    indices = dask.array.stack(indices).sum(axis=0)

After Change


    Gets the raveled indices shaped like input.
    

    indices = sum([
        dask.array.arange(
            0, numpy.prod(dimensions[i:]), numpy.prod(dimensions[i + 1:]),
            dtype=dtype, chunks=c
        )[i * (None,) + (slice(None),) + (len(dimensions) - i - 1) * (None,)]
        for i, c in enumerate(chunks)
    ])

    return indices

Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: dask/dask-image
Commit Name: cbbcea8795e8da754a5b3ffb1a08ef66afd84eef
Time: 2018-09-02
Author: jakirkham@gmail.com
File Name: dask_image/ndmeasure/_utils.py
Class Name:
Method Name: _ravel_shape_indices


Project Name: databricks/spark-deep-learning
Commit Name: a36b70524b297f817d531bc832baff1543c51a3d
Time: 2018-04-23
Author: 1059168+yogeshg@users.noreply.github.com
File Name: python/sparkdl/estimators/keras_image_file_estimator.py
Class Name: KerasImageFileEstimator
Method Name: fitMultiple


Project Name: cesium-ml/cesium
Commit Name: e547a82c24b37c157bc9b40d2724a7b1fd0a7b0f
Time: 2017-04-17
Author: brettnaul@gmail.com
File Name: cesium/featurize.py
Class Name:
Method Name: save_featureset