rasterio/tests/test_rio_calc.py
Sean Gillies 66ae338d97 Preserve masks when re-casting to float64.
Also test reducing a 3-band file to 1.
2015-02-08 10:57:39 -07:00

76 lines
2.3 KiB
Python

import sys
import logging
from click.testing import CliRunner
import rasterio
from rasterio.rio.calc import calc
logging.basicConfig(stream=sys.stderr, level=logging.DEBUG)
def test_multiband_calc(tmpdir):
outfile = str(tmpdir.join('out.tif'))
runner = CliRunner()
result = runner.invoke(calc, [
'0.10*{1} + 125', 'tests/data/shade.tif', outfile],
catch_exceptions=False)
assert result.exit_code == 0
with rasterio.open(outfile) as src:
assert src.meta['dtype'] == 'float64'
data = src.read()
assert data.min() == 125
def test_singleband_calc(tmpdir):
outfile = str(tmpdir.join('out.tif'))
runner = CliRunner()
result = runner.invoke(calc, [
'0.10*{1,1} + 125;', 'tests/data/shade.tif', outfile],
catch_exceptions=False)
assert result.exit_code == 0
with rasterio.open(outfile) as src:
assert src.meta['dtype'] == 'float64'
data = src.read()
assert data.min() == 125
def test_parts_calc(tmpdir):
# Producing an RGB output from the hill shade.
# Red band has bumped up values. Other bands are unchanged.
outfile = str(tmpdir.join('out.tif'))
runner = CliRunner()
result = runner.invoke(calc, [
'{1,1} + 125; {1,1}; {1,1}',
'--dtype', 'uint8',
'tests/data/shade.tif',
outfile],
catch_exceptions=False)
assert result.exit_code == 0
with rasterio.open(outfile) as src:
assert src.count == 3
assert src.meta['dtype'] == 'uint8'
data = src.read()
assert data[0].min() == 125
assert data[1].min() == 0
assert data[2].min() == 0
def test_parts_calc_2(tmpdir):
# Produce greyscale output from the RGB file.
outfile = str(tmpdir.join('out.tif'))
runner = CliRunner()
result = runner.invoke(calc, [
'({1,1} + {1,2} + {1,3})/3;',
'--dtype', 'uint8',
'tests/data/RGB.byte.tif',
outfile],
catch_exceptions=False)
assert result.exit_code == 0
with rasterio.open(outfile) as src:
assert src.count == 1
assert src.meta['dtype'] == 'uint8'
data = src.read()
assert round(data.mean(), 1) == 60.3