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Running
on
CPU Upgrade
Update
Browse files
app.py
CHANGED
@@ -232,6 +232,51 @@ def load_query(request: gr.Request): # triggered only once at startup => read q
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) # return one for the "search_bar", one for a hidden component that triggers a reload only if value has changed
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# Prepare the dataframes
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original_df = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
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@@ -445,51 +490,6 @@ with gr.Blocks() as demo_leaderboard:
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demo_leaderboard.load(fn=load_query, outputs=[search_bar, hidden_search_bar])
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-
def toggle_all_categories(action: str, shown_columns_dict: dict):
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"""全カテゴリーのチェックボックスを一括制御する関数"""
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results = []
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for task_type in TaskType:
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if task_type == TaskType.NotTask:
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# Model detailsの場合は既存の選択状態を維持
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results.append(
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[
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c.name
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for c in fields(AutoEvalColumn)
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if not c.hidden
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and not c.never_hidden
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and not c.dummy
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and c.task_type == task_type
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and c.displayed_by_default # デフォルトの表示状態を維持
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]
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)
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else:
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if action == "all":
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# 全選択
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results.append(
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[
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c.name
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for c in fields(AutoEvalColumn)
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if not c.hidden and not c.never_hidden and not c.dummy and c.task_type == task_type
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]
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)
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elif action == "none":
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# 全解除
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results.append([])
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elif action == "avg_only":
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# AVGのみ
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results.append(
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[
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c.name
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for c in fields(AutoEvalColumn)
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if not c.hidden
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and not c.never_hidden
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and c.task_type == task_type
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and ((task_type == TaskType.AVG) or (task_type != TaskType.AVG and c.average))
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]
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)
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return results
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# Submission demo
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with gr.Blocks() as demo_submission:
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) # return one for the "search_bar", one for a hidden component that triggers a reload only if value has changed
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+
def toggle_all_categories(action: str, shown_columns_dict: dict):
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+
"""全カテゴリーのチェックボックスを一括制御する関数"""
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results = []
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for task_type in TaskType:
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if task_type == TaskType.NotTask:
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# Model detailsの場合は既存の選択状態を維持
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results.append(
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[
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c.name
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for c in fields(AutoEvalColumn)
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if not c.hidden
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and not c.never_hidden
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and not c.dummy
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and c.task_type == task_type
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and c.displayed_by_default # デフォルトの表示状態を維持
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]
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)
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else:
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if action == "all":
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# 全選択
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results.append(
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[
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c.name
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for c in fields(AutoEvalColumn)
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if not c.hidden and not c.never_hidden and not c.dummy and c.task_type == task_type
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]
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)
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elif action == "none":
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# 全解除
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results.append([])
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elif action == "avg_only":
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# AVGのみ
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results.append(
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[
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c.name
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for c in fields(AutoEvalColumn)
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if not c.hidden
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and not c.never_hidden
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and c.task_type == task_type
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and ((task_type == TaskType.AVG) or (task_type != TaskType.AVG and c.average))
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]
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)
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return results
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# Prepare the dataframes
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original_df = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
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demo_leaderboard.load(fn=load_query, outputs=[search_bar, hidden_search_bar])
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# Submission demo
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with gr.Blocks() as demo_submission:
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