scripts(evals): run evals in parallel
This commit is contained in:
@@ -16,6 +16,7 @@ from pathlib import Path
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from typing import Any, List, Optional, Tuple
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import aiofiles
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import aiohttp
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from loguru import logger
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from PIL.ImageFile import ImageFile
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from utils import (
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@@ -53,6 +54,7 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.daily.transport import DailyParams, DailyTransport
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from pipecat.transports.daily.utils import DailyRESTHelper, DailyRoomObject, DailyRoomParams
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SCRIPT_DIR = Path(__file__).resolve().parent
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@@ -87,7 +89,6 @@ class EvalRunner:
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self._log_level = log_level
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self._total_success = 0
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self._tests: List[EvalResult] = []
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self._result_future: Optional[asyncio.Future[bool]] = None
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# We to save runner files.
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name = name or f"{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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@@ -97,17 +98,6 @@ class EvalRunner:
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os.makedirs(self._logs_dir, exist_ok=True)
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os.makedirs(self._recordings_dir, exist_ok=True)
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async def function_assert_eval(self, params: FunctionCallParams):
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result = params.arguments["result"]
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reasoning = params.arguments["reasoning"]
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logger.debug(f"🧠 EVAL REASONING(result: {result}): {reasoning}")
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await params.result_callback(None)
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await params.llm.push_frame(EndTaskFrame(reason=result), FrameDirection.UPSTREAM)
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async def assert_eval(self, result: bool):
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if self._result_future:
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self._result_future.set_result(result)
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async def run_eval(
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self,
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example_file: str,
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@@ -116,23 +106,44 @@ class EvalRunner:
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if not re.match(self._pattern, example_file):
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return
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print(f"\n🚀 Launching {example_file} ...\n")
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# Store logs
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filename = self._log_file_name(example_file)
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log_file_id = logger.add(filename, level=self._log_level)
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print_begin_test(example_file)
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# Create Daily Room
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logger.info("Creating Daily room...")
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async with aiohttp.ClientSession() as aiohttp_session:
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helper = DailyRESTHelper(
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daily_api_key=os.getenv("DAILY_API_KEY"), aiohttp_session=aiohttp_session
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)
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room = await helper.create_room(params=DailyRoomParams())
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logger.info(f"Created Daily room {room.url}")
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script_path = self._examples_dir / example_file
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start_time = time.time()
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# Create a future to store the eval result.
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self._result_future = asyncio.get_running_loop().create_future()
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# Create per-eval future and callbacks so multiple evals can run concurrently.
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result_future = asyncio.get_running_loop().create_future()
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function_assert_eval, assert_eval = self._create_eval_callbacks(result_future)
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try:
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tasks = [
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asyncio.create_task(run_example_pipeline(script_path, eval_config)),
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asyncio.create_task(run_eval_pipeline(self, example_file, eval_config)),
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asyncio.create_task(run_example_pipeline(room.url, script_path, eval_config)),
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asyncio.create_task(
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run_eval_pipeline(
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self,
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example_file,
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eval_config,
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room_url=room.url,
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function_assert_eval=function_assert_eval,
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assert_eval=assert_eval,
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)
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),
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]
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_, pending = await asyncio.wait(tasks, timeout=EVAL_TIMEOUT_SECS)
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if pending:
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@@ -149,7 +160,7 @@ class EvalRunner:
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try:
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# Wait for the future to resolve.
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result = await asyncio.wait_for(self._result_future, timeout=EVAL_RESULT_TIMEOUT_SECS)
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result = await asyncio.wait_for(result_future, timeout=EVAL_RESULT_TIMEOUT_SECS)
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except asyncio.TimeoutError:
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logger.error(f"ERROR: Timeout waiting for eval result.")
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result = False
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@@ -163,6 +174,15 @@ class EvalRunner:
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print_end_test(example_file, result, eval_time)
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# Delete Daily Room
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logger.info(f"Deleting Daily room {room.url} ...")
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async with aiohttp.ClientSession() as aiohttp_session:
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helper = DailyRESTHelper(
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daily_api_key=os.getenv("DAILY_API_KEY"), aiohttp_session=aiohttp_session
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)
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await helper.delete_room_by_name(room.name)
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logger.info(f"Deleted Daily room {room.url}")
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logger.remove(log_file_id)
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def print_results(self):
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@@ -183,6 +203,25 @@ class EvalRunner:
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else:
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logger.warning(f"There's no audio to save for {name}")
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def _create_eval_callbacks(self, result_future: asyncio.Future):
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"""Create per-eval callback functions that capture a local result_future.
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This allows multiple evals to run concurrently without sharing state.
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"""
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async def function_assert_eval(params: FunctionCallParams):
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result = params.arguments["result"]
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reasoning = params.arguments["reasoning"]
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logger.debug(f"🧠 EVAL REASONING(result: {result}): {reasoning}")
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await params.result_callback(None)
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await params.llm.push_frame(EndTaskFrame(reason=result), FrameDirection.UPSTREAM)
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async def assert_eval(result: bool):
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if not result_future.done():
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result_future.set_result(result)
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return function_assert_eval, assert_eval
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def _base_file_name(self, example_file: str):
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base_name = os.path.splitext(example_file)[0]
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return f"{base_name}_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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@@ -196,9 +235,7 @@ class EvalRunner:
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return os.path.join(self._recordings_dir, f"{base_name}.wav")
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async def run_example_pipeline(script_path: Path, eval_config: EvalConfig):
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room_url = os.getenv("DAILY_ROOM_URL")
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async def run_example_pipeline(room_url: str, script_path: Path, eval_config: EvalConfig):
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module = load_module_from_path(script_path)
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transport = DailyTransport(
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@@ -223,11 +260,13 @@ async def run_eval_pipeline(
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eval_runner: EvalRunner,
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example_file: str,
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eval_config: EvalConfig,
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*,
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room_url: str,
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function_assert_eval,
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assert_eval,
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):
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logger.info(f"Starting eval bot")
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room_url = os.getenv("DAILY_ROOM_URL")
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transport = DailyTransport(
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room_url,
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None,
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@@ -306,7 +345,7 @@ async def run_eval_pipeline(
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),
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)
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llm.register_function("eval_function", eval_runner.function_assert_eval)
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llm.register_function("eval_function", function_assert_eval)
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context = LLMContext(tools=tools)
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context_aggregator = LLMContextAggregatorPair(
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@@ -374,9 +413,9 @@ async def run_eval_pipeline(
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@task.event_handler("on_pipeline_finished")
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async def on_pipeline_finished(task, frame):
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if isinstance(frame, EndFrame):
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await eval_runner.assert_eval(frame.reason)
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await assert_eval(frame.reason)
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elif isinstance(frame, CancelFrame):
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await eval_runner.assert_eval(False)
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await assert_eval(False)
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# TODO(aleix): We should handle SIGINT and SIGTERM so we can cancel both the
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# eval and the example.
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@@ -321,11 +321,18 @@ async def main(args: argparse.Namespace):
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log_level=log_level,
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)
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# Parse test config: (test, prompt, eval, user_speaks_first)
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for test_config in TESTS:
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test, eval_config = test_config
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concurrency = args.concurrency
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semaphore = asyncio.Semaphore(concurrency)
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await runner.run_eval(test, eval_config)
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async def run_with_semaphore(test: str, eval_config: EvalConfig):
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async with semaphore:
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await runner.run_eval(test, eval_config)
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tasks = []
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for test, eval_config in TESTS:
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tasks.append(asyncio.create_task(run_with_semaphore(test, eval_config)))
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await asyncio.gather(*tasks)
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runner.print_results()
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@@ -333,6 +340,13 @@ async def main(args: argparse.Namespace):
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Pipecat Eval Runner")
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parser.add_argument("--audio", "-a", action="store_true", help="Record audio for each test")
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parser.add_argument(
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"--concurrency",
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"-c",
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type=int,
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default=3,
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help="Max number of evals to run concurrently (default: 3)",
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)
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parser.add_argument("--name", "-n", help="Name for the current runner (e.g. 'v.0.0.68')")
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parser.add_argument("--pattern", "-p", help="Only run tests that match the pattern")
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parser.add_argument("--verbose", "-v", action="count", default=0)
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