added test_visualize

tests/data/test_visualize.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python
+# encoding: utf-8
+#
+# Copyright 2024 Spotify AB
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import numpy as np
+import tensorflow as tf
+
+from basic_pitch.constants import AUDIO_N_SAMPLES
+from basic_pitch.visualize import MAX_OUTPUTS, visualize_transcription
+
+
+def test_visualize_transcription(tmpdir: str) -> None:
+    # Mock Input Audio Tensor
+    inputs = tf.random.uniform([MAX_OUTPUTS, AUDIO_N_SAMPLES, 1], minval=-1.0, maxval=1.0)
+
+    # Mock Target and Output Tensors
+    targets = {
+        "onset": tf.random.uniform([MAX_OUTPUTS, 100, 128], minval=0.0, maxval=1.0),
+        "contour": tf.random.uniform([MAX_OUTPUTS, 100, 128], minval=0.0, maxval=1.0),
+        "note": tf.random.uniform([MAX_OUTPUTS, 100, 128], minval=0.0, maxval=1.0),
+    }
+    outputs = {
+        "onset": tf.random.uniform([MAX_OUTPUTS, 100, 128], minval=0.0, maxval=1.0),
+        "contour": tf.random.uniform([MAX_OUTPUTS, 100, 128], minval=0.0, maxval=1.0),
+        "note": tf.random.uniform([MAX_OUTPUTS, 100, 128], minval=0.0, maxval=1.0),
+    }
+
+    # Mock loss value
+    loss = np.random.random()
+
+    # Mock step (epoch)
+    step = 1
+
+    # File writer (TensorBoard)
+    file_writer = tf.summary.create_file_writer(str(tmpdir))
+
+    visualize_transcription(
+        file_writer=file_writer,
+        stage="train",
+        inputs=inputs,
+        targets=targets,
+        outputs=outputs,
+        loss=loss,
+        step=step,
+        sonify=True,
+        contours=True,
+    )