From f66eb99465c61232a7f649e66bee59504bb0e52c Mon Sep 17 00:00:00 2001
From: Brianna Rainey
Date: Wed, 28 Jan 2026 17:49:58 -0500
Subject: v2.2.1 - fix #74, fix #92, add optional 64th bar to Classic
 Visualizer, improve Conway default (#93)

* update gitignore
ignore profiling and coverage data

* F1 opens help window, create appName variable, move undostack class

* fix kaleidoscope effect, increase default Y values by +4
the increased y values allow the cells to continue animating for more than 60 minutes instead of 30 (at default 60f/t)

* update version number

* add minimumWidth to undo history window

* Classic Visualizer: option to include 64th bar

* Waveform component: fix #74 - new animation speed option

* move shared visualizer code into toolkit

* Waveform component: compress audio by default

* Waveform component: fix 100% animation speed

* new components receive random color

* update to Qt 6

* fix pushbutton stylesheet

* fix #92: replace ok/cancel with save/discard/cancel

* remove obsolete PaintColor subclass

* mv common shadow code into addShadow func

* add 3rd option of ok/cancel back to showMessage
the 3 options are:
- ok
- ok/cancel
- save/discard/cancel

* Image component: add shadow option

* small test of rgbFromString

* fix color tuple string

* test another way to get comp names from CLI

* rename component tests, add some more

* Image component: scale shadow based on resolution

* catch AttributeError if previewRender returns None

* Text component: fix blur radius only able to increase
the relativeWidgets system causes QDoubleSpinbox to only allow increases, because it really only works with integeres, so I changed the blur radius into a normal QSpinBox. I noted where the problem exists within component.py for future reference. This commit also removes an unneeded VerticalLayout from the ui file

* remove unnecessary QVBoxLayout

* paste shadow at x,y instead of using offset method

* fix tests due to shadow change

* don't print warning in connectWidget due to QFontComboBox---
 src/avp/toolkit/visualizer.py | 87 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 87 insertions(+)
 create mode 100644 src/avp/toolkit/visualizer.py

(limited to 'src/avp/toolkit/visualizer.py')

diff --git a/src/avp/toolkit/visualizer.py b/src/avp/toolkit/visualizer.py
new file mode 100644
index 0000000..c55a3f3
--- /dev/null
+++ b/src/avp/toolkit/visualizer.py
@@ -0,0 +1,87 @@
+"""Functions used to transform and manipulate audio for use by visualizers"""
+
+from copy import copy
+import numpy
+
+
+def createSpectrumArray(
+    component,
+    completeAudioArray,
+    sampleSize,
+    smoothConstantDown,
+    smoothConstantUp,
+    scale,
+    progressBarUpdate,
+    progressBarSetText,
+):
+    lastSpectrum = None
+    spectrumArray = {}
+    for i in range(0, len(completeAudioArray), sampleSize):
+        if component.canceled:
+            break
+        lastSpectrum = transformData(
+            i,
+            completeAudioArray,
+            sampleSize,
+            smoothConstantDown,
+            smoothConstantUp,
+            lastSpectrum,
+            scale,
+        )
+        spectrumArray[i] = copy(lastSpectrum)
+
+        progress = int(100 * (i / len(completeAudioArray)))
+        if progress >= 100:
+            progress = 100
+        progressText = f"Analyzing audio: {str(progress)}%"
+        progressBarSetText.emit(progressText)
+        progressBarUpdate.emit(int(progress))
+    return spectrumArray
+
+
+def transformData(
+    i,
+    completeAudioArray,
+    sampleSize,
+    smoothConstantDown,
+    smoothConstantUp,
+    lastSpectrum,
+    scale,
+):
+    if len(completeAudioArray) < (i + sampleSize):
+        sampleSize = len(completeAudioArray) - i
+
+    window = numpy.hanning(sampleSize)
+    data = completeAudioArray[i : i + sampleSize][::1] * window
+    paddedSampleSize = 2048
+    paddedData = numpy.pad(data, (0, paddedSampleSize - sampleSize), "constant")
+    spectrum = numpy.fft.fft(paddedData)
+    sample_rate = 44100
+    frequencies = numpy.fft.fftfreq(len(spectrum), 1.0 / sample_rate)
+
+    y = abs(spectrum[0 : int(paddedSampleSize / 2) - 1])
+
+    # filter the noise away
+    # y[y<80] = 0
+
+    with numpy.errstate(divide="ignore"):
+        y = scale * numpy.log10(y)
+
+    y[numpy.isinf(y)] = 0
+
+    if lastSpectrum is not None:
+        lastSpectrum[y < lastSpectrum] = y[
+            y < lastSpectrum
+        ] * smoothConstantDown + lastSpectrum[y < lastSpectrum] * (
+            1 - smoothConstantDown
+        )
+
+        lastSpectrum[y >= lastSpectrum] = y[
+            y >= lastSpectrum
+        ] * smoothConstantUp + lastSpectrum[y >= lastSpectrum] * (1 - smoothConstantUp)
+    else:
+        lastSpectrum = y
+
+    x = frequencies[0 : int(paddedSampleSize / 2) - 1]
+
+    return lastSpectrum
-- 
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