How to use render_summary method in prospector

Best Python code snippet using prospector_python

mota.py

Source: mota.py Github

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...38 nmap = {}39 for m, n in zip(metrics, names):40 nmap[m] = n41 summary = mh.compute(acc, metrics=metrics, name=vid)42 strsummary = mm.io.render_summary(43 summary,44 formatters=mh.formatters,45 namemap=nmap46 )47 file.write(strsummary + '\n\n')48''' # Compute metrics for multiple accumulators or accumulator views49 summary = mh.compute_many(50 [acc, acc.events.loc[0:1]],51 metrics=['num_frames', 'mota', 'motp'],52 names=['full', 'part'])53 print("\nsummary:\n",summary)54 # Reformat column names and how column values are displayed55 strsummary = mm.io.render_summary(56 summary,57 formatters={'mota': '{:.2%}'.format},58 namemap={'mota': 'MOTA', 'motp': 'MOTP'}59 )60 print("\nstrsummary:\n",strsummary)61 # Predefined metric selectors, formatters and metric names62 summary = mh.compute_many(63 [acc, acc.events.loc[0:1]],64 metrics=mm.metrics.motchallenge_metrics,65 names=['full', 'part'])66 strsummary = mm.io.render_summary(67 summary,68 formatters=mh.formatters,69 namemap=mm.io.motchallenge_metric_names70 )71 print("\nstrsummary:\n",strsummary)72 # Overall summary that computes the metrics jointly over all accumulators73 summary = mh.compute_many(74 [acc, acc.events.loc[0:1]],75 metrics=mm.metrics.motchallenge_metrics,76 names=['full', 'part'],77 generate_overall=True78 )79 strsummary = mm.io.render_summary(80 summary,81 formatters=mh.formatters,82 namemap=mm.io.motchallenge_metric_names83 )...

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test_summary.py

Source: test_summary.py Github

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1import tempfile2from pathlib import Path3from judge.rendering.summary import render_summary as rs4from judge.schema import History, JudgeStatus, TestCasePath5def render_summary() -> None:6 with tempfile.TemporaryDirectory() as _tempdir:7 tempdir = Path(_tempdir) /​ "abc000_a"8 tempdir.mkdir(parents=True, exist_ok=True)9 temp_in = tempdir /​ "temp.in"10 temp_out = tempdir /​ "temp.out"11 with temp_in.open("wb") as f:12 f.write(b"1 2 3")13 with temp_out.open("wb") as f:14 f.write(b"3164\n1111")15 histories = [16 History(17 status,18 TestCasePath(19 f"sample-{i}",20 temp_in,21 temp_out if status != JudgeStatus.RE else None,22 ),23 output=b"123\n456\n" if status != JudgeStatus.RE else b"",24 exitcode=0 if status != JudgeStatus.RE else 1,25 elapsed=10 if status == JudgeStatus.TLE else 1,26 memory=15 if status == JudgeStatus.MLE else 1,27 )28 for i, status in enumerate(JudgeStatus)29 ]30 rs(histories)31def test_rendering_summary():...

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