Exemple #1
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def download_rest_of_portland():

    ways = utils.read_osm("../data/processed/ways_portland.json")
    nodes = utils.read_osm("../data/processed/nodes_portland.json")

    for way_id in list(ways.keys())[6719:]:
        download_street(ways[way_id], nodes, cautious=False, download=True)
Exemple #2
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def download_region(region):

    ways = utils.read_osm("../data/processed/ways_{}.json".format(region))
    nodes = utils.read_osm("../data/processed/nodes_{}.json".format(region))

    print(len(ways), "ways")

    for way_id in ways.keys():
        download_street(ways[way_id], nodes, cautious=False, download=True)
Exemple #3
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def download_boulder():

    ways = utils.read_osm("../data/processed/ways_boulder.json")
    nodes = utils.read_osm("../data/processed/nodes_boulder.json")

    print(len(ways), "ways")

    for way_id in ways.keys():
        download_street(ways[way_id], nodes, cautious=False, download=True)
Exemple #4
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def test_portland():

    ways = utils.read_osm("../data/processed/ways_portland.json")
    nodes = utils.read_osm("../data/processed/nodes_portland.json")

    # Good street
    # test_street("5542164", ways, nodes)

    # Out of portland street
    test_street("5293752", ways, nodes)
Exemple #5
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def test_boulder():

    ways = utils.read_osm("../data/processed/ways_boulder.json")
    nodes = utils.read_osm("../data/processed/nodes_boulder.json")

    # Good street
    # download_street(ways['382375782'], nodes)

    hundred_ways = list(ways.keys())[:100]
    for way in hundred_ways:
        download_street(ways[str(way)], nodes)
Exemple #6
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def test_large_no_download():

    ways = utils.read_osm("../data/processed/ways_portland.json")
    nodes = utils.read_osm("../data/processed/nodes_portland.json")

    print(len(ways))

    import random
    for _ in range(100):
        way_id = random.choice(list(ways.keys()))
        download_street(ways[str(way_id)],
                        nodes,
                        cautious=False,
                        download=False)
Exemple #7
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def test_complete_no_download():

    for region in ["boulder", "pittsburgh", "seattle", "portland"]:

        ways = utils.read_osm("../data/processed/ways_{}.json".format(region))
        nodes = utils.read_osm(
            "../data/processed/nodes_{}.json".format(region))

        print(region, " - {} ways".format(len(ways)))

        for way_id in ways.keys():
            download_street(ways[way_id],
                            nodes,
                            cautious=False,
                            download=False)
def download_portland():

    raw_data_filename = "all_of_portland.json"
    filtered_ways_filename = "ways.json"
    filtered_nodes_filename = "nodes.json"

    # # Uncomment these lines to re-download the data.
    # portland = download_osm("Portland, Oregon")
    # utils.write_osm(portland, raw_data_filename)
    # print("Data written to ", raw_data_filename)

    portland = utils.read_osm(raw_data_filename)
    ways, nodes = filter_osm(portland)
    print(len(portland), "elements in all of portland data")
    print(len(ways), "ways in all of filtered_portland data")
    print(len(nodes), "nodes in all of filtered_portland data")

    utils.write_osm(ways, filtered_ways_filename)
    utils.write_osm(nodes, filtered_nodes_filename)