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#!/usr/bin/env python
"""This program shows `hyperfine` benchmark results as a histogram."""
import argparse
import json
import numpy as np
import matplotlib.pyplot as plt
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("file", help="JSON file with benchmark results")
parser.add_argument("--title", help="Plot title")
parser.add_argument(
"--labels", help="Comma-separated list of entries for the plot legend"
)
parser.add_argument("--bins", help="Number of bins (default: auto)")
parser.add_argument(
"--type", help="Type of histogram (*bar*, barstacked, step, stepfilled)"
)
parser.add_argument("-o", "--output", help="Save image to the given filename.")
parser.add_argument(
"--t-min", metavar="T", help="Minimum time to be displayed (seconds)"
)
parser.add_argument(
"--t-max", metavar="T", help="Maximum time to be displayed (seconds)"
)
parser.add_argument(
"--log-count",
help="Use a logarithmic y-axis for the event count",
action="store_true",
)
args = parser.parse_args()
with open(args.file) as f:
results = json.load(f)["results"]
if args.labels:
labels = args.labels.split(",")
else:
labels = [b["command"] for b in results]
all_times = [b["times"] for b in results]
t_min = float(args.t_min) if args.t_min else np.min(list(map(np.min, all_times)))
t_max = float(args.t_max) if args.t_max else np.max(list(map(np.max, all_times)))
bins = int(args.bins) if args.bins else "auto"
histtype = args.type if args.type else "bar"
plt.hist(
all_times,
label=labels,
bins=bins,
histtype=histtype,
range=(t_min, t_max),
)
plt.legend(prop={"family": ["Source Code Pro", "Fira Mono", "Courier New"]})
plt.xlabel("Time [s]")
if args.title:
plt.title(args.title)
if args.log_count:
plt.yscale("log")
else:
plt.ylim(0, None)
if args.output:
plt.savefig(args.output)
else:
plt.show()
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