def test_raster_to_polygons_with_new_field():
zonefile = resource_filename("tidegates.testing.raster_to_polygons", "input_raster_to_polygon.tif")
knownfile = resource_filename("tidegates.testing.raster_to_polygons", "known_polygons_from_raster_2.shp")
testfile = resource_filename("tidegates.testing.raster_to_polygons", "test_polygons_from_raster_2.shp")
with utils.OverwriteState(True):
zones = utils.load_data(zonefile, 'raster')
known = utils.load_data(knownfile, 'layer')
test = utils.raster_to_polygons(zones, testfile, newfield="GeoID")
tgtest.assert_shapefiles_are_close(test.dataSource, known.dataSource)
utils.cleanup_temp_results(testfile)
def test_aggregate_polygons():
inputfile = resource_filename("tidegates.testing.aggregate_polygons", "input_polygons_from_raster.shp")
knownfile = resource_filename("tidegates.testing.aggregate_polygons", "known_dissolved_polygons.shp")
testfile = resource_filename("tidegates.testing.aggregate_polygons", "test_dissolved_polygons.shp")
with utils.OverwriteState(True):
raw = utils.load_data(inputfile, 'layer')
known = utils.load_data(knownfile, 'layer')
test = utils.aggregate_polygons(raw, "gridcode", testfile)
tgtest.assert_shapefiles_are_close(test.dataSource, known.dataSource)
utils.cleanup_temp_results(testfile)
def test_raster_to_polygons_with_new_field():
zonefile = resource_filename("tidegates.testing.raster_to_polygons",
"input_raster_to_polygon.tif")
knownfile = resource_filename("tidegates.testing.raster_to_polygons",
"known_polygons_from_raster_2.shp")
testfile = resource_filename("tidegates.testing.raster_to_polygons",
"test_polygons_from_raster_2.shp")
with utils.OverwriteState(True):
zones = utils.load_data(zonefile, 'raster')
known = utils.load_data(knownfile, 'layer')
test = utils.raster_to_polygons(zones, testfile, newfield="GeoID")
tgtest.assert_shapefiles_are_close(test.dataSource, known.dataSource)
utils.cleanup_temp_results(testfile)
def test_aggregate_polygons():
inputfile = resource_filename("tidegates.testing.aggregate_polygons",
"input_polygons_from_raster.shp")
knownfile = resource_filename("tidegates.testing.aggregate_polygons",
"known_dissolved_polygons.shp")
testfile = resource_filename("tidegates.testing.aggregate_polygons",
"test_dissolved_polygons.shp")
with utils.OverwriteState(True):
raw = utils.load_data(inputfile, 'layer')
known = utils.load_data(knownfile, 'layer')
test = utils.aggregate_polygons(raw, "gridcode", testfile)
tgtest.assert_shapefiles_are_close(test.dataSource, known.dataSource)
utils.cleanup_temp_results(testfile)
def test_RasterTemplate_from_raster():
_raster = resource_filename('tidegates.testing._Template', 'dem.tif')
raster = utils.load_data(_raster, 'raster')
template = utils.RasterTemplate.from_raster(raster)
nt.assert_equal(template.meanCellWidth, raster.meanCellWidth)
nt.assert_equal(template.meanCellHeight, raster.meanCellHeight)
nt.assert_equal(template.extent.lowerLeft.X, raster.extent.lowerLeft.X)
nt.assert_equal(template.extent.lowerLeft.Y, raster.extent.lowerLeft.Y)
def test_actual_arrays(self):
known_raster_file = resource_filename("tidegates.testing.polygons_to_raster", "test_zones_raster.tif")
known_raster = utils.load_data(known_raster_file, 'raster')
raster = utils.polygons_to_raster(self.testfile, "GeoID", **self.kwargs)
arrays = utils.rasters_to_arrays(raster, known_raster)
arcpy.management.Delete(raster)
nptest.assert_array_almost_equal(*arrays)
def test_RasterTemplate_from_raster():
_raster = resource_filename('tidegates.testing._Template', 'dem.tif')
raster = utils.load_data(_raster, 'raster')
template = utils.RasterTemplate.from_raster(raster)
nt.assert_equal(template.meanCellWidth, raster.meanCellWidth)
nt.assert_equal(template.meanCellHeight, raster.meanCellHeight)
nt.assert_equal(template.extent.lowerLeft.X, raster.extent.lowerLeft.X)
nt.assert_equal(template.extent.lowerLeft.Y, raster.extent.lowerLeft.Y)
def test_actual_arrays(self):
known_raster_file = resource_filename(
"tidegates.testing.polygons_to_raster", "test_zones_raster.tif")
known_raster = utils.load_data(known_raster_file, 'raster')
raster = utils.polygons_to_raster(self.testfile, "GeoID",
**self.kwargs)
arrays = utils.rasters_to_arrays(raster, known_raster)
arcpy.management.Delete(raster)
nptest.assert_array_almost_equal(*arrays)
def finish_results(outputname, results, **kwargs):
""" Merges and cleans up compiled output from `analyze`.
Parameters
----------
outputname : str
Path to where the final file sould be saved.
results : list of str
Lists of all of the floods, flooded wetlands, and flooded
buildings, respectively, that will be merged and deleted.
sourcename : str, optional
Path to the original source file of the results. If
provided, its attbutes will be spatially joined to the
concatenated results.
Returns
-------
None
"""
sourcename = kwargs.pop('sourcename', None)
cleanup = kwargs.pop('cleanup', True)
if outputname is not None:
if sourcename is not None:
tmp_fname = utils.create_temp_filename(outputname, filetype='shape')
utils.concat_results(tmp_fname, *results)
utils.join_results_to_baseline(
outputname,
utils.load_data(tmp_fname, 'layer'),
utils.load_data(sourcename, 'layer')
)
utils.cleanup_temp_results(tmp_fname)
else:
utils.concat_results(outputname, *results)
if cleanup:
utils.cleanup_temp_results(*results)
def finish_results(outputname, results, **kwargs):
""" Merges and cleans up compiled output from `analyze`.
Parameters
----------
outputname : str
Path to where the final file sould be saved.
results : list of str
Lists of all of the floods, flooded wetlands, and flooded
buildings, respectively, that will be merged and deleted.
sourcename : str, optional
Path to the original source file of the results. If
provided, its attbutes will be spatially joined to the
concatenated results.
Returns
-------
None
"""
sourcename = kwargs.pop('sourcename', None)
cleanup = kwargs.pop('cleanup', True)
if outputname is not None:
if sourcename is not None:
tmp_fname = utils.create_temp_filename(outputname, filetype='shape')
utils.concat_results(tmp_fname, *results)
utils.join_results_to_baseline(
outputname,
utils.load_data(tmp_fname, 'layer'),
utils.load_data(sourcename, 'layer')
)
utils.cleanup_temp_results(tmp_fname)
else:
utils.concat_results(outputname, *results)
if cleanup:
utils.cleanup_temp_results(*results)
def test_clip_dem_to_zones():
demfile = resource_filename("tidegates.testing.clip_dem_to_zones", 'test_dem.tif')
zonefile = resource_filename("tidegates.testing.clip_dem_to_zones", "test_zones_raster_small.tif")
raster = utils.clip_dem_to_zones(demfile, zonefile)
zone_r = utils.load_data(zonefile, 'raster')
arrays = utils.rasters_to_arrays(raster, zone_r)
dem_a, zone_a = arrays[0], arrays[1]
arcpy.management.Delete(raster)
nt.assert_true(isinstance(raster, arcpy.Raster))
known_shape = (146, 172)
nt.assert_tuple_equal(dem_a.shape, zone_a.shape)
def setup(self):
self.workspace = os.path.abspath(resource_filename('tidegates.testing', 'cleanup_temp_results'))
self.template_file = resource_filename('tidegates.testing.cleanup_temp_results', 'test_dem.tif')
self.template = utils.load_data(self.template_file, 'raster')
raster1 = utils.array_to_raster(numpy.random.normal(size=(30, 30)), self.template)
raster2 = utils.array_to_raster(numpy.random.normal(size=(60, 60)), self.template)
self.name1 = 'temp_1.tif'
self.name2 = 'temp_2.tif'
self.path1 = os.path.join(self.workspace, self.name1)
self.path2 = os.path.join(self.workspace, self.name2)
with utils.OverwriteState(True), utils.WorkSpace(self.workspace):
raster1.save(self.path1)
raster2.save(self.path2)
def test_clip_dem_to_zones():
demfile = resource_filename("tidegates.testing.clip_dem_to_zones",
'test_dem.tif')
zonefile = resource_filename("tidegates.testing.clip_dem_to_zones",
"test_zones_raster_small.tif")
raster = utils.clip_dem_to_zones(demfile, zonefile)
zone_r = utils.load_data(zonefile, 'raster')
arrays = utils.rasters_to_arrays(raster, zone_r)
dem_a, zone_a = arrays[0], arrays[1]
arcpy.management.Delete(raster)
nt.assert_true(isinstance(raster, arcpy.Raster))
known_shape = (146, 172)
nt.assert_tuple_equal(dem_a.shape, zone_a.shape)
def setup(self):
self.workspace = os.path.abspath(
resource_filename('tidegates.testing', 'cleanup_temp_results'))
self.template_file = resource_filename(
'tidegates.testing.cleanup_temp_results', 'test_dem.tif')
self.template = utils.load_data(self.template_file, 'raster')
raster1 = utils.array_to_raster(numpy.random.normal(size=(30, 30)),
self.template)
raster2 = utils.array_to_raster(numpy.random.normal(size=(60, 60)),
self.template)
self.name1 = 'temp_1.tif'
self.name2 = 'temp_2.tif'
self.path1 = os.path.join(self.workspace, self.name1)
self.path2 = os.path.join(self.workspace, self.name2)
with utils.OverwriteState(True), utils.WorkSpace(self.workspace):
raster1.save(self.path1)
raster2.save(self.path2)
def test_raster_as_layer_not_greedy(self):
x = utils.load_data(self.rasterpath, 'layer', greedyRasters=False)
nt.assert_true(isinstance(x, arcpy.mapping.Layer))
def test_vector_as_raster_should_fail(self):
x = utils.load_data(self.vectorpath, 'raster')
def test_raster_as_grid_with_caps(self):
x = utils.load_data(self.rasterpath, 'gRId')
nt.assert_true(isinstance(x, arcpy.Raster))
def test_vector_as_layer_with_caps(self):
x = utils.load_data(self.vectorpath, 'LAyeR')
nt.assert_true(isinstance(x, arcpy.mapping.Layer))
def test_vector_as_grid_should_fail(self):
x = utils.load_data(self.vectorpath, 'grid')
def test_raster_as_layer_not_greedy(self):
x = utils.load_data(self.rasterpath, 'layer', greedyRasters=False)
nt.assert_true(isinstance(x, arcpy.mapping.Layer))
def test_with_rasters(self):
with utils.WorkSpace(self.workspace):
raster1 = utils.load_data(self.path1, 'raster')
raster2 = utils.load_data(self.path2, 'raster')
utils.cleanup_temp_results(raster1, raster2)
self.check_outcome()
def test_already_a_raster(self):
raster = arcpy.Raster(self.rasterpath)
x = utils.load_data(raster, 'raster')
nt.assert_true(isinstance(x, arcpy.Raster))
nptest.assert_array_almost_equal(*utils.rasters_to_arrays(x, raster))
def test_already_a_layer(self):
lyr = arcpy.mapping.Layer(self.vectorpath)
x = utils.load_data(lyr, 'layer')
nt.assert_equal(x, lyr)
def test_with_layers(self):
with utils.WorkSpace(self.workspace):
lyr1 = utils.load_data('temp_1.tif', 'layer', greedyRasters=False)
lyr2 = utils.load_data('temp_2.tif', 'layer', greedyRasters=False)
utils.cleanup_temp_results(lyr1, lyr2)
self.check_outcome()
def test_vector_as_layer_with_caps(self):
x = utils.load_data(self.vectorpath, 'LAyeR')
nt.assert_true(isinstance(x, arcpy.mapping.Layer))
def test_with_rasters(self):
with utils.WorkSpace(self.workspace):
raster1 = utils.load_data(self.path1, 'raster')
raster2 = utils.load_data(self.path2, 'raster')
utils.cleanup_temp_results(raster1, raster2)
self.check_outcome()
def test_already_a_raster(self):
raster = arcpy.Raster(self.rasterpath)
x = utils.load_data(raster, 'raster')
nt.assert_true(isinstance(x, arcpy.Raster))
nptest.assert_array_almost_equal(*utils.rasters_to_arrays(x, raster))
def test_raster_as_grid_with_caps(self):
x = utils.load_data(self.rasterpath, 'gRId')
nt.assert_true(isinstance(x, arcpy.Raster))
def test_raster_as_layer_greedy(self):
x = utils.load_data(self.rasterpath, 'layer')
nt.assert_true(isinstance(x, arcpy.Raster))
def test_datapath_doesnt_exist(self):
utils.load_data('junk.shp', 'grid')
def test_vector_as_shape(self):
x = utils.load_data(self.vectorpath, 'shape')
nt.assert_true(isinstance(x, arcpy.mapping.Layer))
def test_raster_as_layer_greedy(self):
x = utils.load_data(self.rasterpath, 'layer')
nt.assert_true(isinstance(x, arcpy.Raster))
def test_already_a_layer(self):
lyr = arcpy.mapping.Layer(self.vectorpath)
x = utils.load_data(lyr, 'layer')
nt.assert_equal(x, lyr)
def test_bad_datatype(self):
utils.load_data(self.rasterpath, 'JUNK')
def test_vector_as_grid_should_fail(self):
x = utils.load_data(self.vectorpath, 'grid')
def test_vector_as_raster_should_fail(self):
x = utils.load_data(self.vectorpath, 'raster')
def test_datapath_bad_value(self):
utils.load_data(12345, 'grid')
def test_bad_datatype(self):
utils.load_data(self.rasterpath, 'JUNK')
def test_datapath_doesnt_exist(self):
utils.load_data('junk.shp', 'grid')
def test_datapath_bad_value(self):
utils.load_data(12345, 'grid')
def test_with_layers(self):
with utils.WorkSpace(self.workspace):
lyr1 = utils.load_data('temp_1.tif', 'layer', greedyRasters=False)
lyr2 = utils.load_data('temp_2.tif', 'layer', greedyRasters=False)
utils.cleanup_temp_results(lyr1, lyr2)
self.check_outcome()
def test_vector_as_shape(self):
x = utils.load_data(self.vectorpath, 'shape')
nt.assert_true(isinstance(x, arcpy.mapping.Layer))
