6a98de289a02db6bd0c715affac9242a52c633e3,flow/visualize/time_space_diagram.py,,get_time_space_data,#Any#Any#,76

Before Change


    dt = params["sim"].sim_step

    // number of simulation steps
    max_time = max(max(data[veh_id]["time"]) for veh_id in data.keys())
    min_time = min(min(data[veh_id]["time"]) for veh_id in data.keys())
    num_steps = int((max_time - min_time)/dt)

    // Get the function from switcher dictionary

After Change


    }

    // Collect a list of all the unique times.
    all_time = []
    for veh_id in data.keys():
        all_time.extend(data[veh_id]["time"])
    all_time = np.sort(np.unique(all_time))

    // Get the function from switcher dictionary
    func = switcher[params["scenario"]]
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: flow-project/flow
Commit Name: 6a98de289a02db6bd0c715affac9242a52c633e3
Time: 2019-06-10
Author: akreidieh@gmail.com
File Name: flow/visualize/time_space_diagram.py
Class Name:
Method Name: get_time_space_data


Project Name: datascienceinc/Skater
Commit Name: 5601c4bb909b4146327fa68c6d5b668f997baaff
Time: 2017-03-21
Author: aikramer2@gmail.com
File Name: pyinterpret/data/dataset.py
Class Name: DataSet
Method Name: _build_metastore


Project Name: ilastik/ilastik
Commit Name: 5c5fb43a37fe6ff9cbbc74838db9197c2b9facbe
Time: 2014-03-17
Author: bergs@janelia.hhmi.org
File Name: ilastik/applets/pixelClassification/pixelClassificationSerializer.py
Class Name: PixelClassificationSerializer
Method Name: _deserializeFromHdf5