From 21a83e53989023568c010eb5935e29ef7ff8aca5 Mon Sep 17 00:00:00 2001
From: Jorn Hoofwijk <jornhoofwijk@gmail.com>
Date: Mon, 17 Sep 2018 20:33:39 +0200
Subject: [PATCH] rename tests
---
adaptive/learner/learner1D.py | 2 +-
adaptive/tests/test_learner.py | 4 ++--
2 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/adaptive/learner/learner1D.py b/adaptive/learner/learner1D.py
index 15a83c2c..f940c2e7 100644
--- a/adaptive/learner/learner1D.py
+++ b/adaptive/learner/learner1D.py
@@ -169,7 +169,7 @@ class Learner1D(BaseLearner):
loss = self.losses[x_left, x_right]
losses_combined[a, x] = (x - a) * loss / dx
losses_combined[x, b] = (b - x) * loss / dx
-
+
real_left = real and x_left is None
real_right = real and x_right is None
not_real = (not real) and (x_left is None or x_right is None)
diff --git a/adaptive/tests/test_learner.py b/adaptive/tests/test_learner.py
index 56b084fc..ec9e57b7 100644
--- a/adaptive/tests/test_learner.py
+++ b/adaptive/tests/test_learner.py
@@ -163,7 +163,7 @@ def test_uniform_sampling1D(learner_type, f, learner_kwargs):
assert max(ivals) / min(ivals) < 2 + 1e-8
-def test_learner1D_as_described_in_issue_99():
+def test_learner1D_loss_interpolation_for_unasked_point():
# https://gitlab.kwant-project.org/qt/adaptive/issues/99
l = Learner1D(lambda x: x, (0, 4))
@@ -185,7 +185,7 @@ def test_learner1D_as_described_in_issue_99():
assert l.losses_combined == {(0, 1): 0.25, (1, 2): 0.25, (2, 3): 0.25, (3, 4): 0.25}
-def test_learner1D_as_described_in_issue_99_comment():
+def test_learner1D_pending_loss_intervals():
# https://gitlab.kwant-project.org/qt/adaptive/issues/99
l = Learner1D(lambda x: x, (0, 4))
--
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