def test_multiply_constant(tmpdir):
infilename = "tests/testdata/random.dfs0"
outfilename = os.path.join(tmpdir.dirname, "mult.dfs0")
scale(infilename, outfilename, factor=1.5)
org = mikeio.read(infilename)
scaled = mikeio.read(outfilename)
orgvalue = org.data[0][0]
expected = orgvalue * 1.5
scaledvalue = scaled.data[0][0]
assert scaledvalue == pytest.approx(expected)
def test_add_constant(tmpdir):
infilename = "tests/testdata/random.dfs0"
outfilename = os.path.join(tmpdir.dirname, "add.dfs0")
scale(infilename, outfilename, offset=100.0)
org = mikeio.read(infilename)
scaled = mikeio.read(outfilename)
orgvalue = org.data[0][0]
expected = orgvalue + 100.0
scaledvalue = scaled.data[0][0]
assert scaledvalue == pytest.approx(expected)
def test_linear_transform_dfsu(tmpdir):
infilename = "tests/testdata/HD2D.dfsu"
outfilename = os.path.join(tmpdir.dirname, "linear.dfsu")
scale(infilename, outfilename, offset=-20.0, factor=1.5)
org = mikeio.read(infilename)
scaled = mikeio.read(outfilename)
orgvalue = org.data[0][0]
expected = orgvalue * 1.5 - 20.0
scaledvalue = scaled.data[0][0]
assert scaledvalue == pytest.approx(expected)
def test_multiply_constant_single_item_name(tmpdir):
infilename = "tests/testdata/wind_north_sea.dfsu"
outfilename = os.path.join(tmpdir.dirname, "multname.dfsu")
scale(infilename, outfilename, factor=1.5, items=["Wind speed"])
org = mikeio.read(infilename)
scaled = mikeio.read(outfilename)
orgvalue_speed = org["Wind speed"][0, 0]
expected_speed = orgvalue_speed * 1.5
scaledvalue_speed = scaled["Wind speed"][0, 0]
assert scaledvalue_speed == pytest.approx(expected_speed)
orgvalue_dir = org["Wind direction"][0, 0]
expected_dir = orgvalue_dir
scaledvalue_dir = scaled["Wind direction"][0, 0]
assert scaledvalue_dir == pytest.approx(expected_dir)
def test_add_constant_delete_values_unchanged(tmpdir):
infilename = "tests/testdata/gebco_sound.dfs2"
outfilename = os.path.join(tmpdir.dirname, "adj.dfs2")
scale(infilename, outfilename, offset=-2.1, items=["Elevation"])
org = mikeio.read(infilename)
scaled = mikeio.read(outfilename)
orgvalue = org["Elevation"][0, 0, 0]
scaledvalue = scaled["Elevation"][0, 0, 0]
assert scaledvalue == pytest.approx(orgvalue - 2.1)
orgvalue = org["Elevation"][0, 100, 0]
assert np.isnan(orgvalue)
scaledvalue = scaled["Elevation"][0, 100, 0]
assert np.isnan(scaledvalue)
def test_multiply_constant_single_item_number(tmpdir):
infilename = "tests/testdata/wind_north_sea.dfsu"
outfilename = os.path.join(tmpdir.dirname, "mult.dfsu")
scale(infilename, outfilename, factor=1.5, item_numbers=[0])
org = mikeio.read(infilename)
scaled = mikeio.read(outfilename)
orgvalue_speed = org.data[0][0][0]
expected_speed = orgvalue_speed * 1.5
scaledvalue_speed = scaled.data[0][0][0]
assert scaledvalue_speed == pytest.approx(expected_speed)
orgvalue_dir = org.data[1][0][0]
expected_dir = orgvalue_dir
scaledvalue_dir = scaled.data[1][0][0]
assert scaledvalue_dir == pytest.approx(expected_dir)
def test_multiply_constant_delete_values_unchanged_2(tmpdir):
infilename = "tests/testdata/random_two_item.dfs2"
outfilename = os.path.join(tmpdir.dirname, "adj.dfs2")
item_name = "testing water level"
scale(infilename, outfilename, factor=1000.0, items=[item_name])
org = mikeio.read(infilename)
scaled = mikeio.read(outfilename)
orgvalue = org[item_name][0, 0, 0]
scaledvalue = scaled[item_name][0, 0, 0]
assert scaledvalue == pytest.approx(orgvalue * 1000.0)
orgvalue = org[item_name][0, 10, 0]
assert np.isnan(orgvalue)
scaledvalue = scaled[item_name][0, 10, 0]
assert np.isnan(scaledvalue)
