diff --git a/experiments/build_ODTE_best.ipynb b/experiments/build_ODTE_best.ipynb index ae2a249..91b8c44 100644 --- a/experiments/build_ODTE_best.ipynb +++ b/experiments/build_ODTE_best.ipynb @@ -57,7 +57,7 @@ "for key, value in data.items():\n", " value[0]=0.0\n", " value[2]=\"-program made-\"\n", - " value[1] = {\"n_jobs\": 1, \"n_estimators\": 100, \"max_samples\": 0.66, \"be_hyperparams\": f\"{json.dumps(value[1])}\"}\n", + " value[1] = {\"n_jobs\": 10, \"n_estimators\": 100, \"be_hyperparams\": f\"{json.dumps(value[1])}\"}\n", "json.dump(data, fo)\n", "fd.close()\n", "fo.close()" @@ -73,297 +73,228 @@ "data": { "text/plain": [ "{'balance-scale': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 10000.0, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'balloons': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 7, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'breast-cancer-wisc-diag': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.2, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'breast-cancer-wisc-prog': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.2, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'breast-cancer-wisc': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'breast-cancer': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'cardiotocography-10clases': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'cardiotocography-3clases': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'conn-bench-sonar-mines-rocks': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'cylinder-bands': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'dermatology': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 55, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'echocardiogram': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"splitter\": \"random\", \"max_features\": \"auto\"}'},\n", " '-program made-'],\n", " 'fertility': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.05, \"max_features\": \"auto\", \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'haberman-survival': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'heart-hungarian': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.05, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'hepatitis': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 7, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'ilpd-indian-liver': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'ionosphere': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 7, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'iris': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'led-display': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'libras': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.08, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'low-res-spect': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'lymphography': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.05, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'mammographic': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'molec-biol-promoter': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'musk-1': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.05, \"gamma\": 0.1, \"kernel\": \"poly\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'oocytes_merluccius_nucleus_4d': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 8.25, \"gamma\": 0.1, \"kernel\": \"poly\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'oocytes_merluccius_states_2f': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'oocytes_trisopterus_nucleus_2f': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'oocytes_trisopterus_states_5b': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.11, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'parkinsons': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'pima': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'pittsburg-bridges-MATERIAL': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 7, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'pittsburg-bridges-REL-L': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'pittsburg-bridges-SPAN': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.05, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'pittsburg-bridges-T-OR-D': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"splitter\": \"random\", \"max_features\": \"auto\"}'},\n", " '-program made-'],\n", " 'planning': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 7, \"gamma\": 10.0, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'post-operative': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 55, \"degree\": 5, \"gamma\": 0.1, \"kernel\": \"poly\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'seeds': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 10000.0, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'statlog-australian-credit': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'statlog-german-credit': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'statlog-heart': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'statlog-image': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 7, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'statlog-vehicle': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'synthetic-control': [0.0,\n", - " {'n_jobs': 1,\n", - " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", - " 'be_hyperparams': '{}'},\n", + " {'n_jobs': 10, 'n_estimators': 100, 'be_hyperparams': '{}'},\n", " '-program made-'],\n", " 'tic-tac-toe': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.2, \"gamma\": 0.1, \"kernel\": \"poly\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'vertebral-column-2clases': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'wine': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.55, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-'],\n", " 'zoo': [0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.1, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-']}" ] @@ -387,9 +318,8 @@ "data": { "text/plain": [ "[0.0,\n", - " {'n_jobs': 1,\n", + " {'n_jobs': 10,\n", " 'n_estimators': 100,\n", - " 'max_samples': 0.66,\n", " 'be_hyperparams': '{\"C\": 0.1, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}'},\n", " '-program made-']" ] diff --git a/results/best_results_accuracy_ODTE.json b/results/best_results_accuracy_ODTE.json index 869e5e3..1b0c0c1 100644 --- a/results/best_results_accuracy_ODTE.json +++ b/results/best_results_accuracy_ODTE.json @@ -1 +1 @@ -{"balance-scale": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"C\": 10000.0, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "balloons": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"C\": 7, \"gamma\": 0.1, \"kernel\": \"rbf\", \"max_iter\": 10000.0, \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "breast-cancer-wisc-diag": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"C\": 0.2, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "breast-cancer-wisc-prog": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"C\": 0.2, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "breast-cancer-wisc": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "breast-cancer": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "cardiotocography-10clases": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{}"}, "-program made-"], "cardiotocography-3clases": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{}"}, "-program made-"], "conn-bench-sonar-mines-rocks": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "cylinder-bands": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"kernel\": \"rbf\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "dermatology": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"C\": 55, \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "echocardiogram": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"splitter\": \"random\", \"max_features\": \"auto\"}"}, "-program made-"], "fertility": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"C\": 0.05, \"max_features\": \"auto\", \"max_iter\": 10000.0, \"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "haberman-survival": [0.0, {"n_jobs": 1, "n_estimators": 100, "max_samples": 0.66, "be_hyperparams": "{\"kernel\": \"liblinear\", \"multiclass_strategy\": \"ovr\"}"}, "-program made-"], "heart-hungarian": [0.0, {"n_jobs": 1, 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diff --git a/src/Results.py b/src/Results.py index fc7fbe4..eaa729f 100644 --- a/src/Results.py +++ b/src/Results.py @@ -662,6 +662,7 @@ class StubReport(BaseReport): def header(self) -> None: self.title = self.data["title"] + self.duration = self.data["duration"] def footer(self, accuracy: float) -> None: self.accuracy = accuracy @@ -696,6 +697,7 @@ class Summary: stratified=stratified, file=result, metric=report.accuracy / BEST_ACCURACY_STREE, + duration=report.duration, ) self.datasets[result] = report.lines self.data.append(entry) @@ -726,7 +728,10 @@ class Summary: max_file = max(len(x["file"]) for x in data) max_title = max(len(x["title"]) for x in data) print(TextColor.LINE1, end="") - print(f"{'Date':10s} {'File':{max_file}s} {'Score':7s} {'Title':s}") + print( + f"{'Date':10s} {'File':{max_file}s} {'Score':7s} {'Time(h)':7s} " + f"{'Title':s}" + ) print( "=" * 10 + " " @@ -734,6 +739,8 @@ class Summary: + " " + "=" * 7 + " " + + "=" * 7 + + " " + "=" * max_title ) print( @@ -741,7 +748,9 @@ class Summary: [ (TextColor.LINE2 if n % 2 == 0 else TextColor.LINE1) + f"{x['date']} {x['file']:{max_file}s} " - f"{x['metric']:7.3f} {x['title']}" + f"{x['metric']:7.3f} " + f"{x['duration']/3600:7.3f} " + f"{x['title']}" for n, x in enumerate(data) ] )