chore: release v1.0.2

This commit is contained in:
Pratik Bhadane
2026-03-24 02:02:10 +05:30
parent 9011250f99
commit 2d5000262f
47 changed files with 3821 additions and 422 deletions
+48
View File
@@ -40,6 +40,30 @@ from benchmarks.data_generator import SMALL, MEDIUM, LARGE
- **Machine info:** Stored in `benchmarks/results.json` (`machine_info`, `commit_info`) for reproducibility.
- **Libraries:** Only libraries present in the environment are benchmarked; missing ones are skipped.
## Reproducible Perf Artifacts
Use the perf-contract runner when you want a compact set of machine-readable
artifacts for single-series latency, batch throughput, streaming throughput,
and hotspot attribution in one directory:
```bash
uv run python benchmarks/run_perf_contract.py --output-dir benchmarks/artifacts/latest --skip-talib
```
That command writes:
- `indicator_latency.json` — canonical-fixture timings for the benchmark suite indicators
- `batch.json` — 2-D batch throughput plus grouped multi-indicator timings
- `streaming.json` — streaming update throughput vs batch baselines
- `runtime_hotspots.json` — ranked hotspot report with reference speedups
- `manifest.json` — runtime/git metadata plus hashes for the generated artifacts
For CI or local guardrails, validate the hotspot report with:
```bash
uv run python benchmarks/check_hotspot_regression.py --input benchmarks/artifacts/latest/runtime_hotspots.json
```
---
## Speed comparison (100k bars, median µs — lower is better)
@@ -141,10 +165,34 @@ uv run python benchmarks/bench_vs_talib.py --sizes 10000 100000 --json benchmark
# Optional regression check used in CI
uv run python benchmarks/check_vs_talib_regression.py --input benchmark_vs_talib.json
# Batch throughput + grouped multi-indicator calls
uv run python benchmarks/bench_batch.py --samples 100000 --series 100 --json batch_benchmark.json
# Streaming update throughput vs batch baselines
uv run python benchmarks/bench_streaming.py --bars 100000 --json streaming_benchmark.json
# Ranked hotspot attribution against bundled reference implementations
uv run python benchmarks/profile_runtime_hotspots.py --json runtime_hotspots.json
# Portable vs SIMD-enabled build comparison
uv run python benchmarks/bench_simd.py --json simd_benchmark.json
# One-shot perf artifact bundle
uv run python benchmarks/run_perf_contract.py --output-dir benchmarks/artifacts/latest
```
Without `uv`: use `pytest` and `python` from the same environment where `ferro_ta` and optional libs (e.g. `talib`, `pandas_ta`, `ta`, `tulipy`, `finta`) are installed.
### WASM
From the `wasm/` directory:
```bash
wasm-pack build --target nodejs --out-dir pkg
node bench.js --json ../wasm_benchmark.json
```
---
## Indicator coverage