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How to use render_summary method in prospector

Best Python code snippet using prospector_python

mota.py

Source:mota.py

...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	)...

test_summary.py

Source:test_summary.py

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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