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e8bf0b3f0a
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84fcee625d
@ -79,9 +79,9 @@ layout = html.Div(
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dash_table.DataTable(
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id="final_score_table",
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columns=[
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{"id": "Eleve", "name": "Élève"},
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{"id": "Élève", "name": "Élève"},
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{"id": "Note", "name": "Note"},
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{"id": "Bareme", "name": "Barème"},
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{"id": "Barème", "name": "Barème"},
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],
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data=[],
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style_data_conditional=[
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@ -217,7 +217,7 @@ def update_final_scores_descr(data):
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scores = pd.DataFrame.from_records(data)
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if scores.empty:
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return [[{}]]
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desc = scores["Note"].describe().T.round(2)
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desc = scores["Note"].describe().T
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return [[desc.to_dict()]]
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@ -302,7 +302,7 @@ def update_competence_fig(data):
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fig = go.Figure()
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bars = [
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{"score": -1, "name": "Pas de réponse", "color": COLORS["."]},
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{"score": 0, "name": "Faux", "color": COLORS[0]},
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{"score": 0, "name": "Faut", "color": COLORS[0]},
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{"score": 1, "name": "Peu juste", "color": COLORS[1]},
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{"score": 2, "name": "Presque juste", "color": COLORS[2]},
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{"score": 3, "name": "Juste", "color": COLORS[3]},
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@ -49,8 +49,7 @@ def score_to_mark(x):
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raise ValueError(
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f"The evaluation is out of range: {x[COLUMNS['score']]} at {x}"
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)
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return round(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3, 2)
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#return round_half_point(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3)
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return round_half_point(x[COLUMNS["score"]] * x[COLUMNS["score_rate"]] / 3)
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if x[COLUMNS["score"]] > x[COLUMNS["score_rate"]]:
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raise ValueError(
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