Ejemplo n.º 1
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def test_join_use_mask_band():
    # https://github.com/OSGeo/gdal/issues/1148
    # The test checks the pixel at the coordinate of bottom left corner of the r2 raster is unmasked.
    r1 = GeoRaster2.open("tests/data/raster/overlap1.tif")
    r2 = GeoRaster2.open("tests/data/raster/overlap2.tif")
    joined = join([r1, r2])
    assert not joined.get(r2.corners()["bl"]).mask.all()
Ejemplo n.º 2
0
def test_chunks_without_pad(raster):
    shape = (256, 256)

    # validate we can construct the original raster from the chunks
    chunks = [r for r, _ in raster.chunks()]
    merged_raster = join(chunks)
    assert merged_raster.crs == raster.crs
    assert merged_raster.affine.almost_equals(raster.affine, precision=1e-3)
    assert np.array_equal(merged_raster.image, raster.image)
Ejemplo n.º 3
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def test_chunks_with_pad(raster):
    shape = (256, 256)

    # validate that each chunk is in the right offsets
    for r, offsets in raster.chunks(shape, pad=True):
        expected_raster = raster.get_window(Window(col_off=offsets[0], row_off=offsets[
                                            1], width=shape[0], height=shape[1]))
        assert r == expected_raster

    # validate we can construct the original raster from the chunks
    chunks = [r for r, _ in raster.chunks(pad=True)]
    merged_raster = join(chunks)
    assert merged_raster.crs == raster.crs
    assert merged_raster.affine.almost_equals(raster.affine, precision=1e-3)
    # raster created has bigger shape cause of the edges
    assert np.array_equal(merged_raster.image[:, :raster.height, :raster.width], raster.image)
    # validating the rest is masked
    assert np.array_equal(merged_raster.image.mask[:, raster.height:, raster.width:].all(), True)
Ejemplo n.º 4
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def test_chunks_for_full_raster(raster):
    chunks = [r for r, _ in raster.chunks(pad=True)]
    merged_raster = join(chunks)
    joined_raster_from_256_mult_size = join(
        [r for r, _ in merged_raster.chunks()])
    assert joined_raster_from_256_mult_size.shape == merged_raster.shape