f16992b25bb153df3ab87c5111db2a101cf68c73,bugbug/models/testselect.py,TestSelectModel,train_test_split,#TestSelectModel#Any#Any#,91

Before Change

            rev = test_data["revs"][0]
            name = test_data["name"]

            if self.granularity == "label" and not name.startswith("test-"):
                continue

            if rev in pushes:
                pushes[rev] += 1
            else:
                pushes[rev] = 1

        train_push_len = math.floor(0.9 * len(pushes))
        train_pushes = list(pushes.values())[:train_push_len]
        train_len = sum(count for count in train_pushes)
        print(

After Change

    // according to time: we train on older pushes and evaluate on newer pushes.
    def train_test_split(self, X, y):
        pushes, train_push_len = self.get_pushes()
        train_len = sum(
            len(push["failures"]) + len(push["passes"])
            for push in pushes[:train_push_len]
        )
        print(
            f"{train_push_len} pushes in the training set (corresponding to {train_len} push/jobs)"
        )
        return X[:train_len], X[train_len:], y[:train_len], y[train_len:]

Instances