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98 lines
2.7 KiB
Python
98 lines
2.7 KiB
Python
"""Tests for FeatureVisualizer module."""
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import os
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import tempfile
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import numpy as np
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import pytest
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import torch
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from feature_compressor.core.visualizer import FeatureVisualizer
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class TestFeatureVisualizer:
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"""Test suite for FeatureVisualizer class."""
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def test_histogram_generation(self):
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"""Test histogram generation from features."""
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viz = FeatureVisualizer()
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features = torch.randn(20, 256)
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fig = viz.plot_histogram(features, title="Test Histogram")
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assert fig is not None
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assert "Test Histogram" in fig.layout.title.text
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def test_pca_2d_generation(self):
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"""Test PCA 2D scatter plot generation."""
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viz = FeatureVisualizer()
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features = torch.randn(20, 256)
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labels = ["cat"] * 10 + ["dog"] * 10
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fig = viz.plot_pca_2d(features, labels=labels)
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assert fig is not None
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assert "PCA 2D" in fig.layout.title.text
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def test_comparison_plot_generation(self):
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"""Test comparison plot generation."""
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viz = FeatureVisualizer()
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features_list = [torch.randn(20, 256), torch.randn(20, 256)]
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names = ["Set A", "Set B"]
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fig = viz.plot_comparison(features_list, names)
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assert fig is not None
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assert "Comparison" in fig.layout.title.text
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def test_html_export(self):
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"""Test HTML export format."""
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viz = FeatureVisualizer()
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features = torch.randn(10, 256)
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fig = viz.plot_histogram(features)
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with tempfile.TemporaryDirectory() as tmpdir:
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output_path = os.path.join(tmpdir, "test_plot")
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viz.save(fig, output_path, formats=["html"])
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assert os.path.exists(output_path + ".html")
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def test_png_export(self):
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"""Test PNG export format."""
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viz = FeatureVisualizer()
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features = torch.randn(10, 256)
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fig = viz.plot_histogram(features)
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with tempfile.TemporaryDirectory() as tmpdir:
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output_path = os.path.join(tmpdir, "test_plot")
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# Skip PNG export if Chrome not available
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try:
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viz.save(fig, output_path, formats=["png"])
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assert os.path.exists(output_path + ".png")
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except RuntimeError as e:
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if "Chrome" in str(e):
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pass
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else:
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raise
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def test_json_export(self):
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"""Test JSON export format."""
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viz = FeatureVisualizer()
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features = torch.randn(10, 256)
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fig = viz.plot_histogram(features)
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with tempfile.TemporaryDirectory() as tmpdir:
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output_path = os.path.join(tmpdir, "test_plot")
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viz.save(fig, output_path, formats=["json"])
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assert os.path.exists(output_path + ".json")
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