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Running
on
CPU Upgrade
Add citation button
Browse files- app.py +39 -8
- content.py +25 -11
app.py
CHANGED
@@ -17,6 +17,8 @@ LMEH_REPO = "HuggingFaceH4/lmeh_evaluations"
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IS_PUBLIC = bool(os.environ.get("IS_PUBLIC", None))
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api = HfApi()
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def restart_space():
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api.restart_space(repo_id="HuggingFaceH4/open_llm_leaderboard", token=H4_TOKEN)
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@@ -32,10 +34,11 @@ def get_all_requested_models(requested_models_dir):
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return set([file_name.lower().split("./evals/")[1] for file_name in file_names])
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repo = None
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requested_models = None
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if H4_TOKEN:
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print("
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# try:
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# shutil.rmtree("./evals/")
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# except:
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@@ -111,9 +114,10 @@ def has_no_nan_values(df, columns):
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def has_nan_values(df, columns):
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return df[columns].isna().any(axis=1)
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def get_leaderboard():
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if repo:
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print("
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repo.git_pull()
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all_data = get_eval_results_dicts(IS_PUBLIC)
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@@ -166,8 +170,9 @@ def get_leaderboard():
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def get_eval_table():
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if repo:
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print("
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repo.git_pull()
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entries = [
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entry
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for entry in os.listdir("evals/eval_requests")
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@@ -221,7 +226,7 @@ def is_model_on_hub(model_name, revision) -> bool:
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return True
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except Exception as e:
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print("Could not get the model config from the hub")
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print(e)
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return False
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@@ -293,24 +298,50 @@ def refresh():
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finished_eval_queue, running_eval_queue, pending_eval_queue = get_eval_table()
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return leaderboard, finished_eval_queue, running_eval_queue, pending_eval_queue
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custom_css = """
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#changelog-text {
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font-size: 18px !important;
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}
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.markdown-text {
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font-size: 16px !important;
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}
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"""
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demo = gr.Blocks(css=custom_css)
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with demo:
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gr.HTML(TITLE)
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-
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gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
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with gr.
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-
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard, headers=COLS, datatype=TYPES, max_rows=5
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IS_PUBLIC = bool(os.environ.get("IS_PUBLIC", None))
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api = HfApi()
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def restart_space():
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api.restart_space(repo_id="HuggingFaceH4/open_llm_leaderboard", token=H4_TOKEN)
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return set([file_name.lower().split("./evals/")[1] for file_name in file_names])
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repo = None
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requested_models = None
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if H4_TOKEN:
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print("Pulling evaluation requests and results.")
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# try:
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# shutil.rmtree("./evals/")
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# except:
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def has_nan_values(df, columns):
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return df[columns].isna().any(axis=1)
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def get_leaderboard():
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if repo:
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print("Pulling evaluation results for the leaderboard.")
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repo.git_pull()
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all_data = get_eval_results_dicts(IS_PUBLIC)
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def get_eval_table():
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if repo:
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print("Pulling changes for the evaluation queue.")
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repo.git_pull()
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entries = [
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entry
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for entry in os.listdir("evals/eval_requests")
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return True
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except Exception as e:
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print("Could not get the model config from the hub.")
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print(e)
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return False
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finished_eval_queue, running_eval_queue, pending_eval_queue = get_eval_table()
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return leaderboard, finished_eval_queue, running_eval_queue, pending_eval_queue
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custom_css = """
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#changelog-text {
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font-size: 16px !important;
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}
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#changelog-text h2 {
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font-size: 18px !important;
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}
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.markdown-text {
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font-size: 16px !important;
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}
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#citation-button span {
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font-size: 16px !important;
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}
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#citation-button textarea {
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font-size: 16px !important;
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}
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#citation-button > label > button {
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margin: 6px;
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transform: scale(1.3);
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}
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"""
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demo = gr.Blocks(css=custom_css)
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with demo:
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gr.HTML(TITLE)
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gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
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with gr.Row():
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with gr.Column():
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with gr.Accordion("π Citation", open=False):
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citation_button = gr.Textbox(
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value=CITATION_BUTTON_TEXT,
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label=CITATION_BUTTON_LABEL,
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elem_id="citation-button",
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).style(show_copy_button=True)
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with gr.Column():
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with gr.Accordion("β¨ CHANGELOG", open=False):
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changelog = gr.Markdown(CHANGELOG_TEXT, elem_id="changelog-text")
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leaderboard_table = gr.components.Dataframe(
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value=leaderboard, headers=COLS, datatype=TYPES, max_rows=5
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content.py
CHANGED
@@ -1,29 +1,33 @@
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CHANGELOG_TEXT = f"""
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## [2023-05-29]
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-
- Auto-restart every hour
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- Sync with the internal version (minor style changes)
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## [2023-05-24]
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-
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## [2023-05-23]
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## [2023-05-22]
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- Display a success/error message after submitting evaluation requests
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- Reject duplicate submission
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- Do not display results that have incomplete results
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- Display different queues for jobs that are RUNNING, PENDING, FINISHED status
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## [2023-05-15]
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## [2023-05-10]
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## [2023-05-10]
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"""
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TITLE = """<h1 align="center" id="space-title">π€ Open LLM Leaderboard</h1>"""
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@@ -47,3 +51,13 @@ We chose these benchmarks as they test a variety of reasoning and general knowle
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EVALUATION_QUEUE_TEXT = f"""
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# Evaluation Queue for the π€ Open LLM Leaderboard, these models will be automatically evaluated on the π€ cluster
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"""
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CHANGELOG_TEXT = f"""
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## [2023-05-30]
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- Add a citation button
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- Simplify Gradio layout
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## [2023-05-29]
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- Auto-restart every hour for the latest results
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- Sync with the internal version (minor style changes)
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## [2023-05-24]
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- Add a baseline that has 25.0 for all values
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- Add CHANGELOG
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## [2023-05-23]
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- Fix a CSS issue that made the leaderboard hard to read in dark mode
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## [2023-05-22]
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- Display a success/error message after submitting evaluation requests
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- Reject duplicate submission
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- Do not display results that have incomplete results
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- Display different queues for jobs that are RUNNING, PENDING, FINISHED status
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## [2023-05-15]
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- Fix a typo: from "TruthQA" to "TruthfulQA"
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## [2023-05-10]
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- Fix a bug that prevented auto-refresh
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## [2023-05-10]
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- Release the leaderboard to public
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"""
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TITLE = """<h1 align="center" id="space-title">π€ Open LLM Leaderboard</h1>"""
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EVALUATION_QUEUE_TEXT = f"""
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# Evaluation Queue for the π€ Open LLM Leaderboard, these models will be automatically evaluated on the π€ cluster
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"""
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CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
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CITATION_BUTTON_TEXT = r"""@misc{open-llm-leaderboard,
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author = {Edward Beeching, Sheon Han, Nathan Lambert, Nazneen Rajani, Omar Sanseviero, Lewis Tunstall, Thomas Wolf},
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title = {Open LLM Leaderboard},
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year = {2023},
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publisher = {Hugging Face},
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howpublished = "{\url{https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard}"}
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}"""
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