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Original file line number | Diff line number | Diff line change |
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import pytest | ||
import os | ||
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from peartree.graph import (generate_empty_md_graph, | ||
generate_summary_graph_elements) | ||
from peartree.paths import get_representative_feed | ||
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def fixture(filename): | ||
return os.path.join(os.path.dirname(__file__), 'fixtures', filename) | ||
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def test_generate_empty_graph(): | ||
G = generate_empty_md_graph('foo') | ||
assert len(G.edges()) == 0 | ||
assert len(G.nodes()) == 0 | ||
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def test_generate_summary_graph_elements(): | ||
path_1 = fixture('caltrain-2017-07-24.zip') | ||
feed_1 = get_representative_feed(path_1) | ||
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start = 7 * 60 * 60 | ||
end = 10 * 60 * 60 | ||
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(summary_edge_costs, | ||
wait_times_by_stop) = generate_summary_graph_elements(feed_1, start, end) | ||
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# Ensure that the summary edge cost dataframe looks as it should | ||
ec_cols = ['edge_cost', 'from_stop_id', 'to_stop_id'] | ||
for c in ec_cols: | ||
assert c in summary_edge_costs.columns | ||
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# Make sure that all edges are unique - there are no duplicated | ||
# in the returned edge dataframe (each should be its own summary) | ||
f = summary_edge_costs.from_stop_id | ||
t = summary_edge_costs.to_stop_id | ||
z = list(zip(f, t)) | ||
assert len(list(set(z))) == len(z) |