mirror of
https://github.com/sharkdp/hyperfine.git
synced 2026-11-14 16:31:31 +00:00
Compare commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
49ebab2eb4 |
No files matched your search
+15
-6
@@ -4,14 +4,23 @@ This folder contains scripts that can be used in combination with hyperfines `--
|
||||
|
||||
```bash
|
||||
hyperfine 'sleep 0.020' 'sleep 0.021' 'sleep 0.022' --export-json sleep.json
|
||||
uv run plot_whisker.py sleep.json
|
||||
./plot_whisker.py sleep.json
|
||||
```
|
||||
|
||||
### Pre-requisites
|
||||
|
||||
Install [`uv`](https://docs.astral.sh/uv/getting-started/installation/) and run the
|
||||
commands above from this directory.
|
||||
To make these scripts work, you will need `numpy`, `matplotlib` and `scipy`.
|
||||
|
||||
The scripts declare their dependencies using [PEP 723](https://peps.python.org/pep-0723/)
|
||||
inline script metadata. `uv run` automatically installs these dependencies in an
|
||||
isolated environment before running the script.
|
||||
If you have a Python package manager that understands [PEP-723](https://peps.python.org/pep-0723/)
|
||||
inline script requirements like [`uv`](https://github.com/astral-sh/uv) or [`pipx`](https://github.com/pypa/pipx),
|
||||
you can directly run the scripts using
|
||||
|
||||
```bash
|
||||
uv run plot_whisker.py sleep.json
|
||||
```
|
||||
|
||||
Otherwise, install the dependencies via your system package manager or using `pip`:
|
||||
|
||||
```bash
|
||||
pip install numpy matplotlib scipy # pip3, if you are using python3
|
||||
```
|
||||
@@ -7,8 +7,7 @@
|
||||
# ///
|
||||
|
||||
"""This script performs Welch's t-test on a JSON export file with two
|
||||
benchmark results to test whether or not the two distributions are
|
||||
the same."""
|
||||
benchmark results to test for a difference in their population mean runtimes."""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
@@ -40,6 +39,10 @@ print(f"t = {t:.3}, p = {p:.3}")
|
||||
print()
|
||||
|
||||
if dispose:
|
||||
print(f"There is a difference between the two benchmarks (p < {th}).")
|
||||
print(
|
||||
f"A statistically significant difference in mean runtime was detected (p < {th})."
|
||||
)
|
||||
else:
|
||||
print(f"The two benchmarks are almost the same (p >= {th}).")
|
||||
print(
|
||||
f"No statistically significant difference in mean runtime was detected (p >= {th})."
|
||||
)
|
||||
Reference in new issue
Block a user