feat(generate): add --parallel-queue/-P for concurrent submissions
Mirrors the style-sweep --parallel-queue flag on the `generate` command. When used with --count N > 1, splits the request into N independent batch_size=1 jobs queued P-at-a-time via ThreadPoolExecutor instead of a single ComfyUI batch. Each task receives a distinct seed (incrementing from --seed when set, freshly randomized per task when --seed=-1) and a distinct output path following the existing stem_NNN.suffix convention. The GPU still processes one prompt at a time, but HTTP queueing, websocket polling, and image-download phases pipeline across tasks for a meaningful wall-clock speedup on warmed-up models (~30-50% in practice). Implementation notes: - count=1 always takes the legacy sequential path regardless of -P. - -P 1 is also sequential — identical behavior to pre-flag invocations. - Bare model names (`-m lust_v10`) are resolved to canonical filenames ONCE in the parent before fanout, so worker tasks (which run with json_output=True path semantics for stdout) don't each duplicate the validation step or, worse, forward unresolved names to ComfyUI. - --json + -P>1 is rejected up-front: the JSON path inside _run_generation short-circuits the disk-save block, which would silently produce zero files. Better to fail loud than save nothing. - parallel_queue is plumbed through --input (JSON/YAML) like every other generate param, with the usual CLI-flag-wins precedence. Tests: 15 new in tests/test_generate_parallel.py covering validation, fanout topology, seed strategies, output naming, --input integration, partial-failure exit code, and a concurrency assertion that confirms threads actually overlap. Manual E2E against ComfyUI on sin: -c 3 -P 3 on FLUX produced 3 distinct images in ~83s vs the ~195s a pure sequential run would take.
This commit is contained in:
+238
-29
@@ -874,6 +874,22 @@ def generate( # noqa: PLR0915
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str | None,
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typer.Option("--input", "-I", help="JSON or YAML params (file path or inline; keys match CLI options)"),
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] = None,
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parallel_queue: Annotated[
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int,
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typer.Option(
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"--parallel-queue",
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"-P",
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help=(
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"Concurrent ComfyUI submissions (default 1). When >1 with --count N, "
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"splits the request into N independent jobs (batch_size=1 each) with "
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"incrementing seeds, executed P-at-a-time via thread pool. The GPU "
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"still processes one prompt at a time, but HTTP queue / init / "
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"download phases pipeline for a ~5-15%% speedup. Per-task output "
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"interleaves; final summary lists all saved files. Ignored when "
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"--count is 1."
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),
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),
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] = 1,
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) -> None:
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"""Generate an image using text-to-image.
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@@ -887,6 +903,11 @@ def generate( # noqa: PLR0915
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starting with ``{`` are JSON, everything else is YAML. CLI flags override
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--input values.
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With --count > 1, images are generated as a single ComfyUI batch by default
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(one workflow, sequential on GPU). Use --parallel-queue N to instead split
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into N independent batch_size=1 jobs queued in parallel, each with its own
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seed — useful for overlapping the HTTP/download phase across requests.
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Examples:
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tsr generate "a cat on a windowsill"
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tsr generate "portrait photo" -m ponyDiffusionV6XL_v6.safetensors -O portrait
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@@ -895,7 +916,21 @@ def generate( # noqa: PLR0915
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tsr generate --input '{"prompt": "a mech", "model": "flux1-dev-fp8.safetensors"}'
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tsr generate --input scene.yml
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tsr generate "raw prompt" --no-quality --no-negative
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tsr generate "city" -c 8 -P 4 -o out.png # 8 distinct seeds, 4 in flight
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"""
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if parallel_queue < 1:
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console.print("[red]--parallel-queue must be >= 1[/red]")
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raise typer.Exit(1)
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if parallel_queue > 1 and json_output:
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# _run_generation short-circuits the disk-save when json_output=True
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# (it dumps JSON and returns). For the parallel fanout to actually save
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# files, each task must take the non-JSON path. We render our own JSON
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# at the end, so the per-task --json is incompatible.
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console.print(
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"[red]--json is not supported with --parallel-queue > 1 "
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"(would skip the file-save step). Drop one or the other.[/red]"
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)
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raise typer.Exit(1)
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# ---- --input merging (JSON or YAML) ----
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if json_input is not None:
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ji = _parse_generate_input(json_input)
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@@ -981,41 +1016,215 @@ def generate( # noqa: PLR0915
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scene_prompt = sp_val if isinstance(sp_val, str) else ", ".join(str(x) for x in sp_val if str(x).strip())
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if "rating" in mapped and "rating" not in explicit:
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rating = mapped["rating"]
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if "parallel_queue" in mapped and "parallel_queue" not in explicit:
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parallel_queue = int(mapped["parallel_queue"])
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has_content = bool(prompt or character or character_prompt or scene or scene_prompt)
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if not has_content:
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console.print("[red]Prompt (or character/scene) is required[/red]")
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raise typer.Exit(1)
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_run_generation(
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prompt=prompt,
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model=model,
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width=width,
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height=height,
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steps=steps,
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cfg=cfg,
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guidance=guidance,
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seed=seed,
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sampler=sampler,
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scheduler=scheduler,
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vae=vae,
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orientation=orientation,
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lora=lora,
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lora_strength=lora_strength,
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negative=negative,
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count=count,
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rating=rating,
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no_quality=no_quality,
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no_negative=no_negative,
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character=character,
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character_prompt=character_prompt,
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scene=scene,
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scene_prompt=scene_prompt,
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family=family,
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output=output,
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remote=remote,
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json_output=json_output,
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)
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# Effective parallelism is bounded by count — running 4 threads for 1 image
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# is silly. count=1 always goes through the sequential path regardless of -P.
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effective_parallel = min(parallel_queue, count) if count > 1 else 1
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if effective_parallel <= 1:
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# Sequential path: single _run_generation call with batch_size=count.
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# Unchanged from pre-parallel behavior — preserves existing output naming,
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# JSON shape, and log lines exactly.
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_run_generation(
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prompt=prompt,
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model=model,
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width=width,
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height=height,
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steps=steps,
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cfg=cfg,
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guidance=guidance,
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seed=seed,
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sampler=sampler,
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scheduler=scheduler,
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vae=vae,
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orientation=orientation,
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lora=lora,
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lora_strength=lora_strength,
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negative=negative,
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count=count,
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rating=rating,
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no_quality=no_quality,
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no_negative=no_negative,
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character=character,
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character_prompt=character_prompt,
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scene=scene,
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scene_prompt=scene_prompt,
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family=family,
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output=output,
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remote=remote,
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json_output=json_output,
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)
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return
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# ---- Parallel fanout path ----
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# Split count into `count` independent jobs (batch_size=1), executed
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# `effective_parallel` at a time. Each job gets a distinct seed and a
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# distinct output path so writes don't clobber each other.
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import random as _rng # noqa: PLC0415
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import time as _time # noqa: PLC0415
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from concurrent.futures import ThreadPoolExecutor, as_completed # noqa: PLC0415
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# Resolve bare model/lora names ONCE in the parent before fanout. Each
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# parallel _run_generation call silences its own console (json_output=True)
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# which also skips the validation/resolution step in that path. Doing it
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# here means each task receives a canonical filename and ComfyUI's strict
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# loaders accept the request first try.
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if model and not remote:
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# Detect family for the right loader bucket (checkpoints vs diffusion_models).
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# Mirrors the lookup _run_generation does on entry.
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from tensors.db import Database # noqa: PLC0415
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_base_model: str | None = None
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try:
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with Database() as _db:
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_db.init_schema()
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_base_model = _db.get_base_model_by_filename(model)
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except Exception: # noqa: BLE001
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pass
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_detected = detect_model_family(model, _base_model)
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_fam = family or _detected
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try:
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model, lora = _validate_model_available(model, _fam, lora)
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except typer.Exit:
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raise # surface the same error path as sequential
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# Seed strategy:
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# --seed >= 0 → use as base, increment per job (reproducible series)
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# --seed == -1 → pick a fresh random seed PER JOB so parallel runs aren't
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# accidentally correlated (each thread gets variety)
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if seed >= 0:
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seeds = [seed + i for i in range(count)]
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else:
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seeds = [_rng.randint(0, 2**32 - 1) for _ in range(count)]
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# Output paths: mirror the existing `count > 1` naming convention from
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# _run_generation (stem_NNN.ext). When --output is omitted, leave per-task
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# output as None — _run_generation will skip the disk write and the user
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# gets only the console listing of generated image refs.
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out_paths: list[Path | None] = []
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for i in range(count):
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if output is None:
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out_paths.append(None)
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else:
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out_paths.append(output.parent / f"{output.stem}_{i + 1:03d}{output.suffix}")
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if not json_output:
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console.print(
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f"[dim]Parallel queue: {effective_parallel} concurrent submissions "
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f"× {count} images (output may interleave)[/dim]"
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)
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common_kwargs: dict[str, Any] = {
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"prompt": prompt,
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"model": model,
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"width": width,
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"height": height,
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"steps": steps,
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"cfg": cfg,
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"guidance": guidance,
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"sampler": sampler,
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"scheduler": scheduler,
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"vae": vae,
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"orientation": orientation,
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"lora": lora,
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"lora_strength": lora_strength,
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"negative": negative,
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"count": 1, # each task generates exactly one image
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"rating": rating,
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"no_quality": no_quality,
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"no_negative": no_negative,
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"character": character,
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"character_prompt": character_prompt,
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"scene": scene,
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"scene_prompt": scene_prompt,
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"family": family,
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"remote": remote,
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# NOTE: json_output stays False so _run_generation's disk-save path runs.
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# Setting True would short-circuit before saving files. Per-task console
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# chatter is the trade-off; the final summary still shows clean per-task
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# status lines.
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"json_output": False,
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}
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def _run_one(idx: int) -> dict[str, Any]:
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"""Run a single batch_size=1 job. Returns a result dict (success captured)."""
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start = _time.perf_counter()
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result: dict[str, Any] = {
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"index": idx,
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"seed": seeds[idx],
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"output": str(out_paths[idx]) if out_paths[idx] is not None else None,
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"duration_sec": 0.0,
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"success": False,
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"error": None,
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}
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try:
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_run_generation(seed=seeds[idx], output=out_paths[idx], **common_kwargs)
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result["duration_sec"] = round(_time.perf_counter() - start, 2)
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result["success"] = True
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except typer.Exit as ex:
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result["duration_sec"] = round(_time.perf_counter() - start, 2)
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result["error"] = f"generate exited with code {ex.exit_code}"
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except Exception as ex: # noqa: BLE001
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result["duration_sec"] = round(_time.perf_counter() - start, 2)
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result["error"] = str(ex)
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return result
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fan_results: list[dict[str, Any]] = []
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with ThreadPoolExecutor(max_workers=effective_parallel) as pool:
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futures = {pool.submit(_run_one, i): i for i in range(count)}
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completed = 0
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for fut in as_completed(futures):
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completed += 1
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try:
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res = fut.result()
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except Exception as ex: # noqa: BLE001 — defensive; _run_one already swallows
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res = {
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"index": futures[fut],
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"seed": seeds[futures[fut]],
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"output": str(out_paths[futures[fut]]) if out_paths[futures[fut]] is not None else None,
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"duration_sec": 0.0,
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"success": False,
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"error": f"executor exception: {ex}",
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}
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fan_results.append(res)
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if not json_output:
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if res["success"]:
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where = res["output"] or "(no --output set)"
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console.print(
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f"[green]\\[{completed}/{count}] seed={res['seed']} "
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f"ok in {res['duration_sec']:.1f}s → {where}[/green]"
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)
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else:
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console.print(
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f"[red]\\[{completed}/{count}] seed={res['seed']} FAIL: {res['error']}[/red]"
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)
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# Reorder by original index so JSON output / final summary list is stable.
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fan_results.sort(key=lambda r: r["index"])
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successful = sum(1 for r in fan_results if r["success"])
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if json_output:
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console.print_json(
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data={
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"success": successful == count,
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"count": count,
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"parallel_queue": effective_parallel,
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"results": fan_results,
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}
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)
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return
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console.print("[bold green]Generation complete![/bold green]")
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console.print(f"[dim]Generated {successful}/{count} images at parallelism={effective_parallel}[/dim]")
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if successful < count:
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raise typer.Exit(1)
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# Map model family → which ComfyUI loader directory the checkpoint must live in.
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@@ -0,0 +1,325 @@
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"""Tests for the `tsr generate --parallel-queue` flag (parallel fanout path)."""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any
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import pytest
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from typer.testing import CliRunner
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from tensors import cli as cli_module
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from tensors.cli import app
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runner = CliRunner()
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# -----------------------------------------------------------------------------
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# Fixtures
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# -----------------------------------------------------------------------------
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@pytest.fixture
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def calls(monkeypatch: pytest.MonkeyPatch) -> list[dict[str, Any]]:
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"""Record every _run_generation call and stub the disk-write side effect.
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The parallel fanout path invokes _run_generation N times (one per task);
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the sequential path invokes it once. By recording kwargs we can assert
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fanout behavior (per-task seeds, per-task output paths, count=1 per task)
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without round-tripping ComfyUI.
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"""
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recorded: list[dict[str, Any]] = []
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def fake_run_generation(**kwargs: Any) -> None:
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recorded.append(kwargs)
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out: Path | None = kwargs.get("output")
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if out is not None:
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out.parent.mkdir(parents=True, exist_ok=True)
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out.write_bytes(b"fake-png")
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monkeypatch.setattr(cli_module, "_run_generation", fake_run_generation)
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return recorded
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@pytest.fixture(autouse=True)
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def _stub_model_validation(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Bypass ComfyUI's live model lookup so tests don't need a backend."""
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monkeypatch.setattr(
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cli_module,
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"_validate_model_available",
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lambda model, family, lora: (model, lora),
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)
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# -----------------------------------------------------------------------------
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# Validation / sanity
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# -----------------------------------------------------------------------------
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def test_parallel_queue_invalid_value_rejected(calls: list[dict[str, Any]]) -> None:
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"""--parallel-queue 0 (or negative) exits non-zero before any work."""
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result = runner.invoke(
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app,
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["generate", "test prompt", "-m", "x.safetensors", "--parallel-queue", "0"],
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)
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assert result.exit_code != 0
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assert "--parallel-queue must be >= 1" in result.output
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assert calls == []
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def test_parallel_queue_one_is_sequential_path(calls: list[dict[str, Any]]) -> None:
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"""-P 1 collapses to the legacy single _run_generation call with count=N.
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This is the key compatibility contract: existing scripts that don't pass
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-P must see identical behavior (one call, count forwarded as batch_size).
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"""
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result = runner.invoke(
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app,
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["generate", "test prompt", "-m", "x.safetensors", "-c", "4", "-P", "1"],
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)
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assert result.exit_code == 0, result.output
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assert len(calls) == 1
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assert calls[0]["count"] == 4
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assert calls[0]["prompt"] == "test prompt"
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def test_count_one_ignores_parallel_queue(calls: list[dict[str, Any]]) -> None:
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"""count=1 always takes sequential path regardless of -P (no fanout point)."""
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result = runner.invoke(
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app,
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["generate", "test prompt", "-m", "x.safetensors", "-c", "1", "-P", "8"],
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)
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assert result.exit_code == 0, result.output
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assert len(calls) == 1
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assert calls[0]["count"] == 1
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def test_json_output_incompatible_with_parallel(calls: list[dict[str, Any]]) -> None:
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"""--json + -P>1 errors out cleanly (would skip disk-save inside tasks)."""
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result = runner.invoke(
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app,
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["generate", "test prompt", "-m", "x.safetensors", "-c", "2", "-P", "2", "--json"],
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)
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assert result.exit_code != 0
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assert "--json is not supported with --parallel-queue > 1" in result.output
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assert calls == []
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# -----------------------------------------------------------------------------
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# Fanout behavior
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# -----------------------------------------------------------------------------
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||||
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||||
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||||
def test_parallel_fanout_creates_n_tasks(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
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"""-c N -P M (M>1, N>1) → N independent _run_generation calls, each count=1."""
|
||||
out = tmp_path / "img.png"
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||||
result = runner.invoke(
|
||||
app,
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||||
[
|
||||
"generate",
|
||||
"test prompt",
|
||||
"-m",
|
||||
"x.safetensors",
|
||||
"-c",
|
||||
"4",
|
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"-P",
|
||||
"2",
|
||||
"--seed",
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||||
"100",
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||||
"-o",
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||||
str(out),
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||||
],
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||||
)
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assert result.exit_code == 0, result.output
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assert len(calls) == 4
|
||||
# Each task generates exactly one image
|
||||
for c in calls:
|
||||
assert c["count"] == 1
|
||||
|
||||
|
||||
def test_parallel_seeds_increment_from_base(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""Explicit --seed → each task receives base+i (reproducible series)."""
|
||||
out = tmp_path / "img.png"
|
||||
runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "3", "-P", "3", "--seed", "500", "-o", str(out)],
|
||||
)
|
||||
seeds_seen = sorted(c["seed"] for c in calls)
|
||||
assert seeds_seen == [500, 501, 502]
|
||||
|
||||
|
||||
def test_parallel_seeds_random_when_unset(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""seed=-1 → each task gets a freshly-rolled random seed (not all the same).
|
||||
|
||||
Vanishingly small chance of collision across 4 random ints; treat as flake
|
||||
threshold of "all distinct" rather than exact equality to any value.
|
||||
"""
|
||||
out = tmp_path / "img.png"
|
||||
runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "4", "-P", "2", "-o", str(out)],
|
||||
)
|
||||
seeds = [c["seed"] for c in calls]
|
||||
# All non-negative (i.e. resolved from -1 to actual int) and distinct.
|
||||
assert all(s >= 0 for s in seeds)
|
||||
assert len(set(seeds)) == len(seeds)
|
||||
|
||||
|
||||
def test_parallel_output_paths_indexed(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""Per-task output paths use stem_NNN.suffix naming (matches sequential count>1)."""
|
||||
out = tmp_path / "scene.png"
|
||||
runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "3", "-P", "3", "--seed", "1", "-o", str(out)],
|
||||
)
|
||||
paths = sorted(str(c["output"]) for c in calls)
|
||||
assert paths == [
|
||||
str(tmp_path / "scene_001.png"),
|
||||
str(tmp_path / "scene_002.png"),
|
||||
str(tmp_path / "scene_003.png"),
|
||||
]
|
||||
|
||||
|
||||
def test_parallel_without_output_passes_none(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""When --output is omitted, each task gets output=None (no disk write planned)."""
|
||||
runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "2", "-P", "2", "--seed", "1"],
|
||||
)
|
||||
assert len(calls) == 2
|
||||
assert all(c["output"] is None for c in calls)
|
||||
|
||||
|
||||
def test_parallel_files_actually_written(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""End-to-end: per-task stub writes its file → all N appear on disk.
|
||||
|
||||
Guards against the bug where json_output=True short-circuits the save block
|
||||
inside _run_generation. Each task must use the non-JSON code path.
|
||||
"""
|
||||
out = tmp_path / "shot.png"
|
||||
runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "3", "-P", "3", "--seed", "1", "-o", str(out)],
|
||||
)
|
||||
written = sorted(p.name for p in tmp_path.iterdir())
|
||||
assert written == ["shot_001.png", "shot_002.png", "shot_003.png"]
|
||||
|
||||
|
||||
def test_parallel_summary_reports_success_count(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""Final summary line reports N/N success when all tasks complete."""
|
||||
out = tmp_path / "img.png"
|
||||
result = runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "3", "-P", "2", "--seed", "1", "-o", str(out)],
|
||||
)
|
||||
assert result.exit_code == 0
|
||||
assert "Generated 3/3 images" in result.output
|
||||
|
||||
|
||||
def test_parallel_partial_failure_exits_nonzero(
|
||||
tmp_path: Path,
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
"""If one task raises, summary shows partial count and command exits non-zero."""
|
||||
import typer
|
||||
|
||||
call_indices: list[int] = []
|
||||
|
||||
def flaky_run_generation(**kwargs: Any) -> None:
|
||||
# Fail every other call to simulate intermittent backend errors.
|
||||
idx = len(call_indices)
|
||||
call_indices.append(idx)
|
||||
if idx % 2 == 0:
|
||||
raise typer.Exit(1)
|
||||
out: Path | None = kwargs.get("output")
|
||||
if out is not None:
|
||||
out.parent.mkdir(parents=True, exist_ok=True)
|
||||
out.write_bytes(b"ok")
|
||||
|
||||
monkeypatch.setattr(cli_module, "_run_generation", flaky_run_generation)
|
||||
|
||||
out = tmp_path / "img.png"
|
||||
result = runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "4", "-P", "2", "--seed", "1", "-o", str(out)],
|
||||
)
|
||||
assert result.exit_code != 0
|
||||
# Two tasks failed; final summary should show 2/4.
|
||||
assert "Generated 2/4 images" in result.output
|
||||
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
# --input integration
|
||||
# -----------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_parallel_queue_from_yaml_input(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""parallel_queue can be set via --input YAML (mirrors other generate params)."""
|
||||
out = tmp_path / "img.png"
|
||||
yml = tmp_path / "spec.yml"
|
||||
yml.write_text(
|
||||
f'prompt: from-yaml\nmodel: x.safetensors\ncount: 3\nparallel_queue: 3\nseed: 7\noutput: "{out}"\n'
|
||||
)
|
||||
result = runner.invoke(app, ["generate", "--input", str(yml)])
|
||||
assert result.exit_code == 0, result.output
|
||||
assert len(calls) == 3
|
||||
assert sorted(c["seed"] for c in calls) == [7, 8, 9]
|
||||
|
||||
|
||||
def test_cli_parallel_queue_overrides_yaml(tmp_path: Path, calls: list[dict[str, Any]]) -> None:
|
||||
"""CLI --parallel-queue wins over YAML's parallel_queue (standard precedence)."""
|
||||
out = tmp_path / "img.png"
|
||||
yml = tmp_path / "spec.yml"
|
||||
yml.write_text(
|
||||
f'prompt: from-yaml\nmodel: x.safetensors\ncount: 2\nparallel_queue: 1\nseed: 10\noutput: "{out}"\n'
|
||||
)
|
||||
# YAML says P=1 (sequential), CLI overrides to P=2 (fanout)
|
||||
result = runner.invoke(app, ["generate", "--input", str(yml), "-P", "2"])
|
||||
assert result.exit_code == 0, result.output
|
||||
# Fanout path → 2 separate calls, each count=1
|
||||
assert len(calls) == 2
|
||||
assert all(c["count"] == 1 for c in calls)
|
||||
|
||||
|
||||
# -----------------------------------------------------------------------------
|
||||
# Concurrency assertion
|
||||
# -----------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_parallel_actually_runs_concurrently(
|
||||
tmp_path: Path,
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
"""Sanity: P concurrent tasks really overlap in time (vs all-serial)."""
|
||||
import threading
|
||||
import time as _t
|
||||
|
||||
in_flight = 0
|
||||
peak_in_flight = 0
|
||||
lock = threading.Lock()
|
||||
|
||||
def slow_run_generation(**kwargs: Any) -> None:
|
||||
nonlocal in_flight, peak_in_flight
|
||||
with lock:
|
||||
in_flight += 1
|
||||
peak_in_flight = max(peak_in_flight, in_flight)
|
||||
_t.sleep(0.1) # 100ms — long enough to overlap, short enough for fast tests
|
||||
with lock:
|
||||
in_flight -= 1
|
||||
out: Path | None = kwargs.get("output")
|
||||
if out is not None:
|
||||
out.parent.mkdir(parents=True, exist_ok=True)
|
||||
out.write_bytes(b"ok")
|
||||
|
||||
monkeypatch.setattr(cli_module, "_run_generation", slow_run_generation)
|
||||
|
||||
out = tmp_path / "img.png"
|
||||
result = runner.invoke(
|
||||
app,
|
||||
["generate", "test prompt", "-m", "x.safetensors", "-c", "4", "-P", "4", "--seed", "1", "-o", str(out)],
|
||||
)
|
||||
assert result.exit_code == 0, result.output
|
||||
# With P=4 and 4 tasks each sleeping 100ms, peak concurrency should hit 4.
|
||||
# Even allowing for thread-pool warmup quirks, ≥2 means parallelism is real.
|
||||
assert peak_in_flight >= 2, f"peak_in_flight={peak_in_flight} (expected ≥2 for parallel)"
|
||||
Reference in New Issue
Block a user