2f82381Update benchmark results from 2025-07-24 16:44:35 [skip ci]GitHub Actions Bot 1import requests
2import json
3from typing import List
4import numpy as np
5import matplotlib.pyplot as plt
6from matplotlib.axes import Axes
7from pydantic import BaseModel
8from adjustText import adjust_text
10results_url = 'https://tempory.net/f/memobin/benchcompress/global/results.json'
12class BenchmarkResult(BaseModel):
13 compression_ratio: float
14 encode_time: float
15 decode_time: float
16 encode_mb_per_sec: float
17 decode_mb_per_sec: float
18 original_size: int
19 compressed_size: int
20 array_shape: List[int]
21 array_dtype: str
22 timestamp: float
23 cache_status: str
24 dataset: str
25 algorithm: str
26 algorithm_version: str
27 dataset_version: str
28 system_version: str
30class BenchmarkResults(BaseModel):
31 results: List[BenchmarkResult]
33def download_results() -> dict:
34 url = results_url
35 print(f"Downloading results from {url}...")
36 response = requests.get(url)
37 response.raise_for_status()
38 return response.json()
40def load_results_into_models(data: dict) -> BenchmarkResults:
41 """Load the downloaded data into pydantic models."""
42 return BenchmarkResults(**data)