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310 lines
10 KiB
Python
310 lines
10 KiB
Python
# SPDX-License-Identifier: MIT AND Apache-2.0
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# SPDX-FileCopyrightText: Copyright (c) 2026 LightSeek Foundation
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# SPDX-FileCopyrightText: Copyright 2023-2024 SGLang Team
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import logging
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import os
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import re
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import subprocess
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import threading
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import time
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from dataclasses import dataclass
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from typing import Callable, List, Optional, Union
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from ci_system import cuda_coredump
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from tokenspeed.runtime.utils.process import kill_process_tree
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# Configure logger to output to stdout
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logging.basicConfig(level=logging.INFO, format="%(message)s")
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logger = logging.getLogger(__name__)
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@dataclass
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class TestFile:
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name: str
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estimated_time: float = 60
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# Patterns that indicate retriable accuracy/performance failures
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RETRIABLE_PATTERNS = [
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r"AssertionError:.*not greater than",
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r"AssertionError:.*not less than",
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r"AssertionError:.*not equal to",
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r"AssertionError:.*!=.*expected",
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r"accuracy",
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r"score",
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r"latency",
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r"throughput",
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r"timeout",
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]
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# Patterns that indicate non-retriable failures (real code errors)
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NON_RETRIABLE_PATTERNS = [
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r"SyntaxError",
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r"ImportError",
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r"ModuleNotFoundError",
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r"NameError",
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r"TypeError",
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r"AttributeError",
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r"RuntimeError",
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r"CUDA out of memory",
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r"OOM",
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r"Segmentation fault",
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r"core dumped",
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r"ConnectionRefusedError",
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r"FileNotFoundError",
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]
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def is_retriable_failure(output: str) -> tuple[bool, str]:
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"""
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Determine if a test failure is retriable based on output patterns.
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Returns:
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tuple: (is_retriable, reason)
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"""
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# Check for non-retriable patterns first
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for pattern in NON_RETRIABLE_PATTERNS:
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if re.search(pattern, output, re.IGNORECASE):
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return False, f"non-retriable error: {pattern}"
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# Check for retriable patterns
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for pattern in RETRIABLE_PATTERNS:
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if re.search(pattern, output, re.IGNORECASE):
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return True, f"retriable pattern: {pattern}"
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# If we have an AssertionError but didn't match non-retriable, assume retriable
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if re.search(r"AssertionError", output):
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return True, "AssertionError (assuming retriable)"
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# Default: not retriable
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return False, "unknown failure type"
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def run_with_timeout(
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func: Callable,
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args: tuple = (),
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kwargs: Optional[dict] = None,
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timeout: float = None,
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):
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"""Run a function with timeout."""
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ret_value = []
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def _target_func():
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ret_value.append(func(*args, **(kwargs or {})))
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t = threading.Thread(target=_target_func)
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t.start()
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t.join(timeout=timeout)
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if t.is_alive():
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raise TimeoutError()
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if not ret_value:
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raise RuntimeError()
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return ret_value[0]
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def write_github_step_summary(content: str):
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"""Write content to GitHub Step Summary if available."""
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summary_file = os.environ.get("GITHUB_STEP_SUMMARY")
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if summary_file:
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with open(summary_file, "a") as f:
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f.write(content)
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def run_unittest_files(
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files: List[Union[TestFile, str, object]],
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timeout_per_file: float,
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continue_on_error: bool = False,
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enable_retry: bool = False,
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max_attempts: int = 2,
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retry_wait_seconds: int = 60,
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):
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"""
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Run a list of test files.
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Args:
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files: List of TestFile objects to run
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timeout_per_file: Timeout in seconds for each test file
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continue_on_error: If True, continue running remaining tests even if one fails.
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If False, stop at first failure (default behavior for PR tests).
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enable_retry: If True, retry failed tests that appear to be accuracy/performance
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assertion failures (not code errors).
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max_attempts: Maximum number of attempts per file including initial run (default: 2).
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retry_wait_seconds: Seconds to wait between retries (default: 60).
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"""
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coredump_enabled = cuda_coredump.is_enabled()
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if coredump_enabled:
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cuda_coredump.cleanup_dump_dir()
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tic = time.perf_counter()
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success = True
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passed_tests = []
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failed_tests = []
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retried_tests = [] # Track which tests were retried
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for i, file in enumerate(files):
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if hasattr(file, "filename") and hasattr(file, "est_time"):
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filename, estimated_time = file.filename, file.est_time
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elif isinstance(file, str):
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filename, estimated_time = file, 60
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else:
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filename, estimated_time = file.name, file.estimated_time
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process = None
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output_lines = []
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def run_one_file(filename, capture_output=False):
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nonlocal process, output_lines
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full_path = os.path.join(os.getcwd(), filename)
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logger.info(
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f".\n.\nBegin ({i}/{len(files) - 1}):\npython3 {full_path}\n.\n.\n"
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)
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file_tic = time.perf_counter()
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if capture_output:
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# Capture output for retry decision
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process = subprocess.Popen(
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["python3", full_path],
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stdout=subprocess.PIPE,
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stderr=subprocess.STDOUT,
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text=True,
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errors="ignore", # Ignore non-UTF-8 bytes to prevent UnicodeDecodeError
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)
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output_lines = []
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for line in process.stdout:
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logger.info(line.rstrip())
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output_lines.append(line)
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process.wait()
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else:
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process = subprocess.Popen(
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["python3", full_path], stdout=None, stderr=None
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)
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process.wait()
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elapsed = time.perf_counter() - file_tic
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logger.info(
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f".\n.\nEnd ({i}/{len(files) - 1}):\n{filename=}, {elapsed=:.0f}, {estimated_time=}\n.\n.\n"
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)
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return process.returncode
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# Retry loop for each file
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attempt = 1
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file_passed = False
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was_retried = False
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while attempt <= (max_attempts if enable_retry else 1):
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if attempt > 1:
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logger.info(
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f"\n[CI Retry] Attempt {attempt}/{max_attempts} for {filename}\n"
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)
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was_retried = True
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try:
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ret_code = run_with_timeout(
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run_one_file,
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args=(filename,),
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kwargs={"capture_output": enable_retry},
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timeout=timeout_per_file,
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)
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if ret_code == 0:
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file_passed = True
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if was_retried:
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logger.info(
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f"\n✓ PASSED on retry (attempt {attempt}): {filename}\n"
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)
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retried_tests.append((filename, attempt, "passed"))
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passed_tests.append(filename)
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break
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else:
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# Check if we should retry
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if enable_retry and attempt < max_attempts:
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output = "".join(output_lines)
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is_retriable, reason = is_retriable_failure(output)
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if is_retriable:
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logger.info(f"\n[CI Retry] {filename} failed with {reason}")
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logger.info(
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f"[CI Retry] Waiting {retry_wait_seconds}s before retry...\n"
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)
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time.sleep(retry_wait_seconds)
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attempt += 1
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continue
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else:
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logger.info(
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f"\n[CI Retry] {filename} failed with {reason} - not retrying\n"
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)
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# No retry or not retriable
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logger.info(
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f"\n✗ FAILED: {filename} returned exit code {ret_code}\n"
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)
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if was_retried:
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retried_tests.append((filename, attempt, "failed"))
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failed_tests.append((filename, f"exit code {ret_code}"))
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break
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except TimeoutError:
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kill_process_tree(process.pid)
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time.sleep(5)
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logger.info(
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f"\n✗ TIMEOUT: {filename} after {timeout_per_file} seconds\n"
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)
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if was_retried:
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retried_tests.append((filename, attempt, "timeout"))
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failed_tests.append((filename, f"timeout after {timeout_per_file}s"))
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break
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if not file_passed:
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success = False
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if not continue_on_error:
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break
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elapsed_total = time.perf_counter() - tic
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if coredump_enabled and not success:
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cuda_coredump.report()
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if success:
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logger.info(f"Success. Time elapsed: {elapsed_total:.2f}s")
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else:
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logger.info(f"Fail. Time elapsed: {elapsed_total:.2f}s")
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# Print summary
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logger.info(f"\n{'='*60}")
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logger.info(f"Test Summary: {len(passed_tests)}/{len(files)} passed")
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if enable_retry and retried_tests:
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logger.info(f"Retries: {len(retried_tests)} test(s) were retried")
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logger.info(f"{'='*60}")
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if passed_tests:
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logger.info("✓ PASSED:")
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for test in passed_tests:
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logger.info(f" {test}")
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if failed_tests:
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logger.info("\n✗ FAILED:")
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for test, reason in failed_tests:
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logger.info(f" {test} ({reason})")
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if retried_tests:
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logger.info("\n↻ RETRIED:")
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for test, attempts, result in retried_tests:
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logger.info(f" {test} ({attempts} attempts, {result})")
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logger.info(f"{'='*60}\n")
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# Write GitHub Step Summary only if retries occurred
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if retried_tests:
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passed_on_retry = [t for t, _, r in retried_tests if r == "passed"]
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failed_after_retry = [t for t, _, r in retried_tests if r != "passed"]
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summary = f"**↻ Retried {len(retried_tests)} test(s):**\n"
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if passed_on_retry:
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summary += f"- ✓ Passed on retry: {', '.join(passed_on_retry)}\n"
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if failed_after_retry:
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summary += f"- ✗ Still failed: {', '.join(failed_after_retry)}\n"
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write_github_step_summary(summary)
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return 0 if success else -1
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