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Allow all 1.0.[0-9] tags and filter completions
Browse files- dashboard.py +1 -1
- opendashboards/utils/plotting.py +5 -1
dashboard.py
CHANGED
@@ -9,7 +9,7 @@ from opendashboards.assets import io, inspect, metric, plot
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# Hotkey churn
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DEFAULT_PROJECT = "openvalidators"
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DEFAULT_FILTERS = {"tags": {"$in": [
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DEFAULT_SELECTED_RUNS = ['kt9bzxii']
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DEFAULT_SELECTED_HOTKEYS = None
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DEFAULT_SRC = 'followup'
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# Hotkey churn
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DEFAULT_PROJECT = "openvalidators"
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DEFAULT_FILTERS = {"tags": {"$in": [f'1.0.{i}' for i in range(10)]}}
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DEFAULT_SELECTED_RUNS = ['kt9bzxii']
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DEFAULT_SELECTED_HOTKEYS = None
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DEFAULT_SRC = 'followup'
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opendashboards/utils/plotting.py
CHANGED
@@ -198,7 +198,11 @@ def plot_completion_rewards(
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else:
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completions = completion_counts.index[:ntop]
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print(f"Using top {len(completions)} completions: \n{completions}")
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# Get ranks of completions in terms of number of occurrences
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ranks = completion_counts.rank(method="dense", ascending=False).loc[completions].astype(int)
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else:
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completions = completion_counts.index[:ntop]
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print(f"Using top {len(completions)} completions: \n{completions}")
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else:
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found_completions = [c for c in completions if c in completion_counts.index]
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print(f"Using {len(found_completions)}/{len(completions)} completions: \n{found_completions}")
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completions = found_completions
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# Get ranks of completions in terms of number of occurrences
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ranks = completion_counts.rank(method="dense", ascending=False).loc[completions].astype(int)
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