def convert(self, obj, gateway_client):
name = obj.value
if name == 'NearestNeighbor':
sample = JavaClass("geotrellis.raster.resample.NearestNeighbor$", gateway_client)
elif name == 'Bilinear':
sample = JavaClass("geotrellis.raster.resample.Bilinear$", gateway_client)
elif name == 'CubicConvolution':
sample = JavaClass("geotrellis.raster.resample.CubicConvolution$", gateway_client)
elif name == 'CubicSpline':
sample = JavaClass("geotrellis.raster.resample.CubicSpline$", gateway_client)
elif name == 'Lanczos':
sample = JavaClass("geotrellis.raster.resample.Lanczos$", gateway_client)
elif name == 'Average':
sample = JavaClass("geotrellis.raster.resample.Average$", gateway_client)
elif name == 'Mode':
sample = JavaClass("geotrellis.raster.resample.Mode$", gateway_client)
elif name == 'Median':
sample = JavaClass("geotrellis.raster.resample.Median$", gateway_client)
elif name == 'Max':
sample = JavaClass("geotrellis.raster.resample.Max$", gateway_client)
elif name == 'Min':
sample = JavaClass("geotrellis.raster.resample.Min$", gateway_client)
else:
raise TypeError(name, "Could not be converted to a GeoTrellis ResampleMethod.")
return sample.__getattr__("MODULE$")
def convert(self, object, gateway_client):
JavaRasterizerOptions = JavaClass("geotrellis.raster.rasterize.Rasterizer$Options$", gateway_client)
if (object.sampleType == 'PixelIsPoint'):
sample = JavaClass("geotrellis.raster.PixelIsPoint$", gateway_client)
elif (object.sampleType == 'PixelIsArea'):
sample = JavaClass("geotrellis.raster.PixelIsArea$", gateway_client)
else:
raise TypeError("Could not convert {} to geotrellis.raster.PixelSampleType".format(object.sampleType))
sample_instance = sample.__getattr__("MODULE$")
return JavaRasterizerOptions().apply(object.includePartial, sample_instance)
