This directory contains all output files from tests, experiments, and analyses including JSON data, CSV files, NumPy arrays, and other structured results.

• JSON Files: Structured analysis results, metrics, and statistical data
• CSV Files: Tabular data exports and time series results
• NPY Files: NumPy array data for mathematical computations
• TXT Files: Plain text outputs, summaries, and reports

• Mathematical validation results
• Statistical analysis outputs
• Prime number analysis data
• Quantum entanglement measurements
• Curvature analysis metrics
• Zeta function computations

Results are organized by:

• Source analysis or test
• Data type and format
• Computational scope (small, medium, large scale)

Results can be loaded and analyzed using standard Python libraries:

import json
import numpy as np
import pandas as pd

# Load JSON results
with open('test-finding/results/[result_file].json', 'r') as f:
    data = json.load(f)

# Load NumPy arrays
array_data = np.load('test-finding/results/[result_file].npy')

• All result files are well-structured for programmatic analysis
• File naming conventions indicate content and scope
• Metadata preserved for traceability
• Cross-references maintained for source scripts