rustpower 0.5.0-rc.3

An experimental ECS world snapshot system built on Bevy, featuring structured archetype storage and manifest-based serialization.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19

import pandas as pd
import glob
import os

print("--- Parquet Archive Evaluation ---")
path = 'docs/ieee118_parquet_eval/archetypes/'
files = glob.glob(os.path.join(path, "*.parquet"))

for file in sorted(files, key=os.path.getsize, reverse=True)[:3]:
    print(f"\nInspecting: {os.path.basename(file)}")
    try:
        df = pd.read_parquet(file)
        print(f"Rows: {len(df)}, Columns: {df.columns.tolist()}")
        print("Data Preview (First 2 rows):")
        print(df.head(2))
    except Exception as e:
        print(f"Error reading {file}: {e}")

print("\nConclusion: The archive system successfully maps Bevy ECS archetypes to Parquet's columnar format. Complex types (like Complex64) appear to be flattened or mapped to Arrow structures, enabling seamless integration with the Python data ecosystem.")