From f59d0af1ba3a5d9f967cdcb262c81fb4a22663ff Mon Sep 17 00:00:00 2001
From: Andre Anjos <andre.dos.anjos@gmail.com>
Date: Fri, 20 Dec 2019 13:25:48 +0100
Subject: [PATCH] [test_trainer] Be more verbose when test fails
---
bob/learn/libsvm/test_trainer.py | 25 ++++++++++++++-----------
1 file changed, 14 insertions(+), 11 deletions(-)
diff --git a/bob/learn/libsvm/test_trainer.py b/bob/learn/libsvm/test_trainer.py
index 8a16f55..9f4c029 100644
--- a/bob/learn/libsvm/test_trainer.py
+++ b/bob/learn/libsvm/test_trainer.py
@@ -34,6 +34,10 @@ HEART_DATA = F('heart.svmdata') #13 inputs
HEART_MACHINE = F('heart.svmmodel') #supports probabilities
HEART_EXPECTED = F('heart.out') #expected probabilities
+def _check_abs_diff(a, b, maxval):
+ assert numpy.all(abs(a - b) < maxval), "Maximum " \
+ "difference exceeded limit (%g): %g" % (maxval, abs(a - b).max())
+
def test_initialization():
# tests and examplifies some initialization parameters
@@ -118,8 +122,8 @@ def test_training():
nose.tools.eq_(machine.kernel_type, previous.kernel_type)
assert numpy.isclose(machine.gamma, previous.gamma)
nose.tools.eq_(machine.shape, previous.shape)
- assert numpy.all(abs(machine.input_subtract - previous.input_subtract) < 1e-8)
- assert numpy.all(abs(machine.input_divide - previous.input_divide) < 1e-8)
+ _check_abs_diff(machine.input_subtract, previous.input_subtract, 1e-8)
+ _check_abs_diff(machine.input_divide, previous.input_divide, 1e-8)
curr_label = machine.predict_class(data)
prev_label = previous.predict_class(data)
@@ -131,7 +135,7 @@ def test_training():
curr_scores = numpy.array(curr_scores)
prev_scores = numpy.array(prev_scores)
- assert numpy.all(abs(curr_scores - prev_scores) < 1e-8)
+ _check_abs_diff(curr_scores, prev_scores, 1e-8)
def test_training_with_probability():
@@ -152,8 +156,8 @@ def test_training_with_probability():
nose.tools.eq_(machine.kernel_type, previous.kernel_type)
assert numpy.isclose(machine.gamma, previous.gamma)
nose.tools.eq_(machine.shape, previous.shape)
- assert numpy.all(abs(machine.input_subtract - previous.input_subtract) < 1e-8)
- assert numpy.all(abs(machine.input_divide - previous.input_divide) < 1e-8)
+ _check_abs_diff(machine.input_subtract, previous.input_subtract, 1e-8)
+ _check_abs_diff(machine.input_divide, previous.input_divide, 1e-8)
# check labels
curr_label = machine.predict_class(data)
@@ -167,7 +171,7 @@ def test_training_with_probability():
curr_scores = numpy.array(curr_scores)
prev_scores = numpy.array(prev_scores)
- assert numpy.all(abs(curr_scores - prev_scores) < 1e-8)
+ _check_abs_diff(curr_scores, prev_scores, 1e-8)
# check probabilities -- probA and probB do not get the exact same values
# as when using libsvm's svm-train.c. The reason may lie in the order in
@@ -176,7 +180,7 @@ def test_training_with_probability():
prev_labels, prev_scores = previous.predict_class_and_probabilities(data)
curr_scores = numpy.array(curr_scores)
prev_scores = numpy.array(prev_scores)
- #assert numpy.all(abs(curr_scores-prev_scores) < 1e-8)
+ #_check_abs_diff(curr_scores, prev_scores, 1e-8)
def test_training_one_class():
@@ -200,8 +204,8 @@ def test_training_one_class():
nose.tools.eq_(machine.kernel_type, previous.kernel_type)
assert numpy.isclose(machine.gamma, previous.gamma)
nose.tools.eq_(machine.shape, previous.shape)
- assert numpy.all(abs(machine.input_subtract - previous.input_subtract) < 1e-8)
- assert numpy.all(abs(machine.input_divide - previous.input_divide) < 1e-8)
+ _check_abs_diff(machine.input_subtract, previous.input_subtract, 1e-8)
+ _check_abs_diff(machine.input_divide, previous.input_divide, 1e-8)
curr_label = machine.predict_class(data)
prev_label = previous.predict_class(data)
@@ -213,8 +217,7 @@ def test_training_one_class():
curr_scores = numpy.array(curr_scores)
prev_scores = numpy.array(prev_scores)
- assert numpy.all(abs(curr_scores - prev_scores) < 1e-8)
-
+ _check_abs_diff(curr_scores, prev_scores)
def test_successive_training():
--
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