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			2.7 KiB
		
	
	
	
	
	
	
	
			
		
		
	
	
			2.7 KiB
		
	
	
	
	
	
	
	
Here is a list of grass7 algorithms without test units
Raster algorithms
- r.basins.fill: needs different input rasters (result is always empty).
 - r.carve: needs a vector input.
 - r.colors: needs to handle output directories.
 - r.colors.stddev: needs to find a way to test color table.
 - r.contour.level: needs to export vector to GeoJSON (instead of Shapefile).
 - r.contour.step: needs to export vector to GeoJSON (instead of Shapefile).
 - r.drain: needs another dataset.
 - r.flow.aspect.barrier: needs another dataset.
 - r.flow.barrier: needs another dataset.
 - r.grow: needs another dataset.
 - r.grow.distance: needs another dataset.
 - r.gwflow: needs another (huge) dataset.
 - r.horizon
 - r.horizon.height
 - r.in.lidar: needs another dataset.
 - r.in.lidar.info: needs another dataset.
 - r.mapcalc
 - r.mask.rast
 - r.mask.vect
 - r.median
 - r.mfilter
 - r.mfilter.fp
 - r.mode
 - r.neighbors
 - r.null
 - r.out.gridatb
 - r.out.ppm
 - r.out.vrml
 - r.param.scale
 - r.patch
 - r.profile
 - r.quant
 - r.quantile
 - r.random
 - r.random.cells
 - r.random.raster
 - r.random.surface
 - r.reclass.area.greater
 - r.reclass.area.lesser
 - r.recode
 - r.regression.line
 - r.regression.multi
 - r.relief
 - r.relief.scaling
 - r.report
 - r.resamp.bspline
 - r.resamp.filter
 - r.resamp.interp
 - r.resamp.rst
 - r.resamp.stats
 - r.resample
 - r.rescale
 - r.rescale.eq
 - r.rgb
 - r.ros: too much input rasters !
 - r.series.accumulate: can't reproduce same results !
 - r.series.interp: needs to handle output directories
 - r.sim.sediment: too much input rasters !
 - r.sim.water: too much input rasters !
 - r.solute.transport: too much input rasters !
 - r.spreadpath: segfaults with test dataset !
 - r.stats.quantile.rast: needs to handle output directories
 - r.sunhours: can't reproduce same results !
 - r.support: create a new test for raster: test after metadata.
 - r.surf.fractal: random results !
 - r.surf.gauss: random results !
 - r.surf.random: random results !
 - r.terraflow: can't produce output with test dataset !
 - r.texture: needs to handle output directories
 - r.tile: needs to handle output directories
 - r.tileset: can't reproduce same results
 - r.to.vect: needs a vector output in GML
 - r.topmodel: too much manual inputs.
 - r.uslek: can't produce output with test dataset (needs reclassified float rasters) !
 - r.viewshed: can't produce output with test dataset !
 - r.volume: needs a vector output in GML
 
Imagery algorithms
- i.albedo
 - i.aster.toar
 - i.cca
 - i.colors.enhance
 - i.eb.evapfr
 - i.evapo.time
 - i.fft
 - i.his.rgb
 - i.ifft
 - i.in.spotvgt
 - i.landsat.acca
 - i.landsat.toar
 - i.pca
 - i.rectify
 - i.tasscap
 - i.topo.corr
 
Vector algorithms
We need to handle gml for output and input for GRASS7 algorithms before creating tests !