1dba0aaea818505ac4e22cd779995b46454207bb,cnvlib/segmentation/__init__.py,,do_segmentation,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,19

Before Change


    rets = []
    // TODO: handle save_dataframe=True
    with futures.ProcessPoolExecutor(processes) as pool:
        for ret in pool.map(_ds, ((cnarr[cnarr.chromosome == c], method,
                                   threshold, variants, skip_low, skip_outliers,
                                   False, rlibpath) for c in chroms)):
            rets.append(ret)
    data = pd.concat([r.data for r in rets])
    meta = rets[0].meta
    for r in rets[1:]:
        meta.update(r.meta)

After Change


    with futures.ProcessPoolExecutor(processes) as pool:
        rets = list(pool.map(_ds, ((ca, method,
                                   threshold, variants, skip_low, skip_outliers,
                                   save_dataframe, rlibpath) for _, ca in cnarr.by_chromosome())))
    if save_dataframe:
        rstr = [rets[0][1]]
        for ret in rets[1:]:
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: etal/cnvkit
Commit Name: 1dba0aaea818505ac4e22cd779995b46454207bb
Time: 2016-08-30
Author: bpederse@gmail.com
File Name: cnvlib/segmentation/__init__.py
Class Name:
Method Name: do_segmentation


Project Name: etal/cnvkit
Commit Name: 89361f771b5076918b1ce9be9a7d4f2738569ae0
Time: 2015-11-09
Author: eric.talevich@gmail.com
File Name: cnvlib/antitarget.py
Class Name:
Method Name: guess_chromosome_regions


Project Name: etal/cnvkit
Commit Name: b28c8e24e23c60282a1c7cd82a4a7d09bb9715b6
Time: 2016-08-31
Author: eric.talevich@gmail.com
File Name: cnvlib/coverage.py
Class Name:
Method Name: interval_coverages_count