galaxy/test/functional/tools/validation_image.xml

<tool id="validation_image" name="validation_image" version="1.0">
    <command><![CDATA[
      cp '$input' '$output'
    ]]></command>
    <inputs>
        <param name="input" type="data" format="data" />
    </inputs>
    <outputs>
        <data name="output" format="data" />
    </outputs>
    <tests>
        <!-- Tests with intensity images -->
        <test>
            <param name="input" value="im1_uint8.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="32" />
                    <has_image_height height="32" />
                    <has_image_channels channels="1" />
                    <has_image_center_of_mass center_of_mass="15.61, 15.48" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="30" delta="2" />
                </assert_contents>
            </output>
        </test>
        <test expect_test_failure="true">
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="29" delta="2" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="32" />
                    <has_image_height height="32" />
                    <has_image_channels channels="3" />
                    <has_image_center_of_mass channel="0" center_of_mass="7.5, 7.5" />
                    <has_image_mean_intensity channel="0" mean_intensity="0.25" />
                    <has_image_mean_intensity channel="1" mean_intensity="0.0" />
                    <has_image_mean_intensity channel="2" mean_intensity="0" />
                    <has_image_center_of_mass center_of_mass="7.5, 7.5" />
                    <has_image_mean_intensity mean_intensity="0.08333333333" />
                </assert_contents>
            </output>
        </test>
        <test expect_test_failure="true">
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_intensity channel="0" mean_intensity="0.24" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_intensity channel="0" mean_intensity="0.24" eps="0.0100000001" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_intensity channel="0" min="0.24" max="0.26" />
                </assert_contents>
            </output>
        </test>
        <test expect_test_failure="true">
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_intensity channel="0" max="0.24" />
                </assert_contents>
            </output>
        </test>
        <test expect_test_failure="true">
            <param name="input" value="im3_b.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_intensity channel="0" min="0.26" />
                </assert_contents>
            </output>
        </test>
        <!-- Tests with float TIFF images -->
        <test>
            <param name="input" value="im4_float.tif" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="25" />
                    <has_image_height height="25" />
                    <has_image_channels channels="1" />
                    <has_image_center_of_mass center_of_mass="11.75, 11.75" />
                </assert_contents>
            </output>
        </test>
        <!-- Tests with label images -->
        <test>
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="32" />
                    <has_image_height height="32" />
                    <has_image_channels channels="1" />
                    <has_image_n_labels n="1" exclude_labels="0" />
                    <has_image_n_labels n="0" exclude_labels="0,1" />
                    <has_image_mean_object_size mean_object_size="256" exclude_labels="0" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="32" />
                    <has_image_height height="32" />
                    <has_image_channels channels="1" />
                    <has_image_n_labels n="2" />
                    <has_image_mean_object_size mean_object_size="512" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_object_size labels="0" mean_object_size="768" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_object_size labels="0, 1" mean_object_size="512" />
                </assert_contents>
            </output>
        </test>
        <test expect_test_failure="true">
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_object_size mean_object_size="511" eps="0.9" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_width width="32" />
                    <has_image_height height="32" />
                    <has_image_channels channels="1" />
                    <has_image_n_labels n="2" />
                    <has_image_mean_object_size mean_object_size="511" eps="1.0" />
                </assert_contents>
            </output>
        </test>
        <test>
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_object_size min="511" max="513" />
                </assert_contents>
            </output>
        </test>
        <test expect_test_failure="true">
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_object_size max="511" />
                </assert_contents>
            </output>
        </test>
        <test expect_test_failure="true">
            <param name="input" value="im2_b.png" />
            <output name="output">
                <assert_contents>
                    <has_image_mean_object_size min="513" />
                </assert_contents>
            </output>
        </test>
    </tests>
</tool>