fix: adding performance logging for nightly diffusion (#18023)
This commit is contained in:
@@ -1,4 +1,97 @@
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_GLOBAL_PERF_RESULTS = []
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import os
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import pytest
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print("[CONFTEST] Loading conftest.py at import time")
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def pytest_configure(config):
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"""
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Create the perf results StashKey once and store it in config.
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This hook runs once per test session, before module double-import issues.
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"""
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if not hasattr(config, "_diffusion_perf_key"):
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config._diffusion_perf_key = pytest.StashKey[list]()
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print(f"[CONFTEST] Created perf_results_key: {config._diffusion_perf_key}")
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def add_perf_results(config, results: list):
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"""Add performance results to the shared stash."""
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# Get the shared key from config (created once in pytest_configure)
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key = config._diffusion_perf_key
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existing = config.stash.get(key, [])
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existing.extend(results)
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config.stash[key] = existing
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print(f"[CONFTEST] Added {len(results)} results, total now: {len(existing)}")
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@pytest.fixture(scope="session")
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def perf_config(request):
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"""Provide access to pytest config for storing perf results."""
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return request.config
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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 _write_results_json(results: list, output_path: str = "diffusion-results.json"):
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"""Write performance results to JSON file for CI artifact collection."""
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import json
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try:
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with open(output_path, "w") as f:
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json.dump(results, f, indent=2)
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print(f"[CONFTEST] Wrote results to {output_path}")
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except Exception as e:
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print(f"[CONFTEST] Failed to write results JSON: {e}")
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def _generate_diffusion_markdown_report(results: list) -> str:
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"""Generate a markdown report for diffusion performance results."""
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if not results:
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return ""
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gpu_config = os.environ.get("GPU_CONFIG", "")
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header = "## Diffusion Performance Summary"
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if gpu_config:
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header += f" [{gpu_config}]"
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header += "\n\n"
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# Main performance table
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markdown = header
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markdown += "| Test Suite | Test Name | Modality | E2E (ms) | Avg Denoise (ms) | Median Denoise (ms) |\n"
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markdown += "| ---------- | --------- | -------- | -------- | ---------------- | ------------------- |\n"
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for entry in sorted(results, key=lambda x: (x["class_name"], x["test_name"])):
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modality = entry.get("modality", "image")
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markdown += (
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f"| {entry['class_name']} | {entry['test_name']} | {modality} | "
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f"{entry['e2e_ms']:.2f} | {entry['avg_denoise_ms']:.2f} | "
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f"{entry['median_denoise_ms']:.2f} |\n"
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)
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# Video-specific metrics table (if any video tests)
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video_results = [r for r in results if r.get("modality") == "video"]
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if video_results:
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markdown += "\n### Video Generation Metrics\n\n"
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markdown += "| Test Name | FPS | Total Frames | Avg Frame Time (ms) |\n"
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markdown += "| --------- | --- | ------------ | ------------------- |\n"
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for entry in video_results:
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fps = entry.get("frames_per_second", "N/A")
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frames = entry.get("total_frames", "N/A")
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avg_frame = entry.get("avg_frame_time_ms", "N/A")
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if isinstance(fps, float):
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fps = f"{fps:.2f}"
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if isinstance(avg_frame, float):
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avg_frame = f"{avg_frame:.2f}"
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markdown += f"| {entry['test_name']} | {fps} | {frames} | {avg_frame} |\n"
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return markdown
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def pytest_sessionfinish(session):
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@@ -6,9 +99,15 @@ def pytest_sessionfinish(session):
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This hook is called by pytest at the end of the entire test session.
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It prints a consolidated summary of all performance results.
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"""
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if not _GLOBAL_PERF_RESULTS:
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# Get results from stash using the shared key from config
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key = session.config._diffusion_perf_key
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results = session.config.stash.get(key, [])
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print(f"\n[DEBUG] pytest_sessionfinish called, has {len(results)} entries")
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if not results:
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print("[DEBUG] No results collected, skipping summary output")
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return
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# Print to stdout (existing behavior)
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print("\n\n" + "=" * 35 + " Performance Summary " + "=" * 35)
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print(
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f"{'Test Suite':<30} | {'Test Name':<20} | {'E2E (ms)':>12} | {'Avg Denoise (ms)':>18} | {'Median Denoise (ms)':>20}"
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@@ -25,7 +124,7 @@ def pytest_sessionfinish(session):
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+ "-" * 20
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)
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for entry in sorted(_GLOBAL_PERF_RESULTS, key=lambda x: x["class_name"]):
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for entry in sorted(results, key=lambda x: x["class_name"]):
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print(
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f"{entry['class_name']:<30} | {entry['test_name']:<20} | {entry['e2e_ms']:>12.2f} | "
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f"{entry['avg_denoise_ms']:>18.2f} | {entry['median_denoise_ms']:>20.2f}"
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@@ -34,7 +133,7 @@ def pytest_sessionfinish(session):
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print("=" * 91)
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print("\n\n" + "=" * 36 + " Detailed Reports " + "=" * 37)
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for entry in sorted(_GLOBAL_PERF_RESULTS, key=lambda x: x["class_name"]):
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for entry in sorted(results, key=lambda x: x["class_name"]):
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print(f"\n--- Details for {entry['class_name']} / {entry['test_name']} ---")
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stage_report = ", ".join(
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f"{name}:{duration:.2f}ms"
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@@ -51,3 +150,11 @@ def pytest_sessionfinish(session):
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)
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print(f" Sampled Steps: {step_report}")
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print("=" * 91)
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# Write to GitHub Step Summary (new behavior for CI monitoring)
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markdown_report = _generate_diffusion_markdown_report(results)
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if markdown_report:
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_write_github_step_summary(markdown_report)
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# Write results to JSON file for CI artifact collection
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_write_results_json(results)
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@@ -18,7 +18,7 @@ from openai import OpenAI
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from sglang.multimodal_gen.runtime.platforms import current_platform
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from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
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from sglang.multimodal_gen.runtime.utils.perf_logger import RequestPerfRecord
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from sglang.multimodal_gen.test.server.conftest import _GLOBAL_PERF_RESULTS
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from sglang.multimodal_gen.test.server import conftest
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from sglang.multimodal_gen.test.server.test_server_utils import (
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VALIDATOR_REGISTRY,
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PerformanceValidator,
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@@ -134,6 +134,7 @@ class DiffusionServerBase:
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_perf_results: list[dict[str, Any]] = []
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_improved_baselines: list[dict[str, Any]] = []
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_pytest_config = None # Store pytest config for stash access
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@classmethod
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def setup_class(cls):
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@@ -142,9 +143,21 @@ class DiffusionServerBase:
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@classmethod
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def teardown_class(cls):
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for result in cls._perf_results:
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result["class_name"] = cls.__name__
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_GLOBAL_PERF_RESULTS.append(result)
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print(
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f"\n[DEBUG teardown_class] Called for {cls.__name__}, _perf_results has {len(cls._perf_results)} entries"
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)
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if cls._pytest_config:
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# Add results to pytest stash (shared across all import contexts)
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for result in cls._perf_results:
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result["class_name"] = cls.__name__
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conftest.add_perf_results(cls._pytest_config, cls._perf_results)
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print(
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f"[DEBUG teardown_class] Added {len(cls._perf_results)} results to stash"
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)
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else:
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print(
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"[DEBUG teardown_class] No pytest_config available, skipping stash update"
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)
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if cls._improved_baselines:
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import json
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@@ -160,6 +173,11 @@ Consider updating perf_baselines.json with the snippets below:
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)
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print(output)
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@pytest.fixture(autouse=True)
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def _capture_pytest_config(self, request):
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"""Capture pytest config for use in teardown_class."""
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self.__class__._pytest_config = request.config
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def _client(self, ctx: ServerContext) -> OpenAI:
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"""Get OpenAI client for the server."""
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return OpenAI(
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@@ -261,6 +279,9 @@ Consider updating perf_baselines.json with the snippets below:
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)
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self.__class__._perf_results.append(result)
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print(
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f"[DEBUG _validate_and_record] Appended result for {case.id}, class {self.__class__.__name__} now has {len(self.__class__._perf_results)} results"
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)
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def _check_for_improvement(
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self,
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