Bootstrap benchmark summary helpers for the SheafLab project.
Project description
sheafbench
sheafbench is the official Python package namespace for lightweight benchmark
summary helpers used by the SheafLab project.
This initial public release focuses on a real but narrow surface: aggregating trial results, computing success rates and median timings, and identifying the best-performing case from a small benchmark run.
Install
pip install sheafbench
Usage
from sheafbench import TrialResult, best_case, summarize_cases
trials = [
TrialResult(case="baseline", duration_s=1.2, memory_mb=200, success=True),
TrialResult(case="candidate", duration_s=0.8, memory_mb=220, success=True),
]
summary = summarize_cases(trials)
winner = best_case(trials)
Status
- Project stage: pre-alpha
- Package scope: bootstrap benchmark-summary utilities only
- Main project site: https://sheaflab.com
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sheafbench-0.0.1a1.tar.gz.
File metadata
- Download URL: sheafbench-0.0.1a1.tar.gz
- Upload date:
- Size: 3.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
11e0783cd9550e5cb6c70d9adb2248cc638fa940510276725589df0227d20d1b
|
|
| MD5 |
ef1cb6bee52d1f7d175f85c744f049a8
|
|
| BLAKE2b-256 |
25c42b5a2fd02157941a893fdc1a20bbe31ca38dcea295a6dd07a6beb3bb5744
|
File details
Details for the file sheafbench-0.0.1a1-py3-none-any.whl.
File metadata
- Download URL: sheafbench-0.0.1a1-py3-none-any.whl
- Upload date:
- Size: 4.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
10463457778e067f6a740b19a143293469cb341d17bef92fa9300ce66b2054ce
|
|
| MD5 |
2e208dd5991debf51b630a7da1a2bc88
|
|
| BLAKE2b-256 |
6b3da0f356ddbb20562d171d35dbc4d2b631b9c6a69c4412378343471999a41c
|
