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2fa0e15a24
* Use another VRT to mask unbounded area in absence of raster mask * Remove debugging print()
118 lines
4.5 KiB
Python
118 lines
4.5 KiB
Python
"""Test of boundless reads"""
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from hypothesis import given
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import hypothesis.strategies as st
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import numpy
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import pytest
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import rasterio
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from rasterio.windows import Window
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from .conftest import requires_gdal21
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@requires_gdal21(reason="Pixel equality tests require float windows and GDAL 2.1")
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@given(col_start=st.integers(min_value=-700, max_value=0),
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row_start=st.integers(min_value=-700, max_value=0),
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col_stop=st.integers(min_value=0, max_value=700),
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row_stop=st.integers(min_value=0, max_value=700))
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def test_outer_boundless_pixel_fidelity(
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path_rgb_byte_tif, col_start, row_start, col_stop, row_stop):
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"""An outer boundless read doesn't change pixels"""
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with rasterio.open(path_rgb_byte_tif) as dataset:
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width = dataset.width + col_stop - col_start
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height = dataset.height + row_stop - row_start
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window = Window(col_start, row_start, width, height)
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rgb_padded = dataset.read(window=window, boundless=True)
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assert rgb_padded.shape == (dataset.count, height, width)
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rgb = dataset.read()
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assert numpy.all(
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rgb == rgb_padded[:, -row_start:height - row_stop,
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-col_start:width - col_stop])
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def test_image(red_green):
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"""Read a red image with black background"""
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with rasterio.Env():
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with rasterio.open(str(red_green.join("red.tif"))) as src:
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data = src.read(boundless=True, window=Window(-src.width, -src.height, src.width * 3, src.height * 3))
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image = numpy.moveaxis(data, 0, -1)
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assert image[63, 63, 0] == 0
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assert image[64, 64, 0] == 204
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def test_hit_ovr(red_green):
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"""Zoomed out read hits the overviews"""
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# GDAL doesn't log overview hits for local files , so we copy the
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# overviews of green.tif over the red overviews and expect to find
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# green pixels below.
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green_ovr = red_green.join("green.tif.ovr")
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green_ovr.rename(red_green.join("red.tif.ovr"))
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assert not green_ovr.exists()
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with rasterio.open(str(red_green.join("red.tif.ovr"))) as ovr:
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data = ovr.read()
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assert (data[1] == 204).all()
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with rasterio.Env():
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with rasterio.open(str(red_green.join("red.tif"))) as src:
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data = src.read(out_shape=(3, 32, 32))
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image = numpy.moveaxis(data, 0, -1)
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assert image[0, 0, 0] == 17
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assert image[0, 0, 1] == 204
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def test_boundless_mask_not_all_valid():
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"""Confirm resolution of issue #1449"""
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with rasterio.open("tests/data/red.tif") as src:
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masked = src.read(1, boundless=True, masked=True, window=Window(-1, -1, 66, 66))
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assert not masked.mask.all()
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assert masked.mask[:, 0].all()
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assert masked.mask[:, -1].all()
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assert masked.mask[0, :].all()
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assert masked.mask[-1, :].all()
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def test_boundless_fill_value():
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"""Confirm resolution of issue #1471"""
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with rasterio.open("tests/data/red.tif") as src:
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filled = src.read(1, boundless=True, fill_value=5, window=Window(-1, -1, 66, 66))
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assert (filled[:, 0] == 5).all()
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assert (filled[:, -1] == 5).all()
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assert (filled[0, :] == 5).all()
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assert (filled[-1, :] == 5).all()
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def test_boundless_masked_special():
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"""Confirm resolution of special case in issue #1471"""
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with rasterio.open("tests/data/green.tif") as src:
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masked = src.read(2, boundless=True, masked=True, window=Window(-1, -1, 66, 66))
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assert not masked[:, 0].any()
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assert not masked[:, -1].any()
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assert not masked[0, :].any()
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assert not masked[-1, :].any()
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def test_boundless_mask_special():
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"""Confirm resolution of special case in issue #1471"""
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with rasterio.open("tests/data/green.tif") as src:
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mask = src.read_masks(2, boundless=True, window=Window(-1, -1, 66, 66))
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assert not mask[:, 0].any()
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assert not mask[:, -1].any()
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assert not mask[0, :].any()
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assert not mask[-1, :].any()
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def test_boundless_fill_value_overview_masks():
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"""Confirm a more general resolution to issue #1471"""
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with rasterio.open("tests/data/cogeo.tif") as src:
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data = src.read(1, boundless=True, window=Window(-300, -335, 1000, 1000), fill_value=5, out_shape=(512, 512))
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assert (data[:, 0] == 5).all()
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def test_boundless_masked_fill_value_overview_masks():
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"""Confirm a more general resolution to issue #1471"""
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with rasterio.open("tests/data/cogeo.tif") as src:
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data = src.read(1, masked=True, boundless=True, window=Window(-300, -335, 1000, 1000), fill_value=5, out_shape=(512, 512))
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assert data.fill_value == 5
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assert data.mask[:, 0].all()
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