Sample data (synthetic)

Every file in this directory is synthetic: the values were generated by tests/synthetic.py with invented numbers and do not come from any measurement on the testbed. They show the file formats that the pipeline produces and consumes:

File	Produced by	Format
raw/device1-host_rep0.json, raw/device1-host_rep1.json, raw/device2-host_rep0.json	src/models/inference.py benchmark on each device	BenchmarkResults (docs/schemas/benchmark_results.schema.json)
monitor/device1.json	src/testbed/resource_monitor.py	ResourceTrace (same schema)
power/device1.json	src/network/power_measurement.py	PowerTrace (same schema)
latency/device1.json, latency/device2.json	src/network/latency_measurement.py	latency record (src/network/records.py)
final_latencies_averages.json	src/network/node_statistics.py	per-node averages
total_averages_of_benchmark_results.json	src/benchmarking/result_aggregation.py	per-node profile averages
calculated_max_partition_points.json (+ .details.json)	src/benchmarking/partition_calculator.py	maximum feasible partition point per node

Regenerate with python -m tests.make_sample_data from the repository root.