fix #89 with Image component v2.0 + 23 tests (#90)

* qtbot is needed in any test that uses a QObject
previously these tests would fail if they ran before qtbot was initialized by another test. I'm now running tests in a random order

* add tests for drawBars, readAudioFile, BlankFrame

* replace numpy.seterr with numpy.errstate

* fix incorrect comment

* add MockVideoWorker and imageDataSum

* test further into visualization (less likely to be a false positive)

* test FloodFrame function

* add failing test for Image component
one step towards fixing #89

* test component name CLI parsing

* prevent log warning when 1 setting changed

* correct tests to use widgets when needed

* test undo and blockSignals

* remove stretch_scale (use scale only)

* image ignores scale if stretch checkbox checked
fixes #89

* test Title Text component, ffmpeg command

* Image v2: replace stretched setting with resizeMode
3 resize modes are scale, cover, and stretch. Scale only applies when resizeMode is set to scale. Cover uses ImageOps.fit() to stretch while maintaining aspect ratio. Also, spinBox_scale was moved to be underneath comboBox_resizeMode.

* change transformData into staticmethod
the purpose is to allow easier reuse in other components

* add respondToAudio option to Image component
this causes the image to scale up and down slightly based on the input audio file

* cache static portion of image when animating
increases rendering speed of a 1-minute video by 12 seconds (based on two manual tests anyway)

1 files changed, 14 insertions, 0 deletions

diff --git a/tests/test_toolkit_frame.py b/tests/test_toolkit_frame.py
new file mode 100644
index 0000000..9486227
--- /dev/null
+++ b/tests/test_toolkit_frame.py
@@ -0,0 +1,14 @@
+import numpy
+from avp.toolkit.frame import BlankFrame, FloodFrame
+
+
+def test_blank_frame():
+    """BlankFrame creates a frame of all zeros"""
+    assert numpy.asarray(BlankFrame(1920, 1080), dtype="int32").sum() == 0
+
+
+def test_flood_frame():
+    """FloodFrame given (1, 1, 1, 1) creates a frame of sum 1920 * 1080 * 4"""
+    assert numpy.asarray(FloodFrame(1920, 1080, (1, 1, 1, 1)), dtype="int32").sum() == (
+        1920 * 1080 * 4
+    )