a2f318363a1c4dde386d7f7ac316baa706678b89,pyntcloud/pyntcloud.py,PyntCloud,get_sample,#PyntCloud#,333

Before Change

    def get_sample(self, name, **kwargs):
         Returns arbitrary number of points sampled by selected method
        
        if name in S_POINTS:
            kwargs["points"] = self.xyz
            valid_args = crosscheck_kwargs_function(kwargs, S_POINTS[name])
            return S_POINTS[name](**valid_args)
        
        elif name in S_MESH:
            kwargs["v1"], kwargs["v2"], kwargs["v3"] = self.get_mesh_vertices()
            valid_args = crosscheck_kwargs_function(kwargs, S_MESH[name])
            return S_MESH[name](**valid_args)
        
        elif name in S_VOXELGRID:
            kwargs["voxelgrid"] = self.voxelgrids[kwargs["voxelgrid"]]
            valid_args = crosscheck_kwargs_function(kwargs, S_VOXELGRID[name])
            return S_VOXELGRID[name](**valid_args)
        
        else:
            raise ValueError("Unsupported sample mode; supported modes are: {}".format(ALL_SAMPLING))
    
    def get_neighbors(self, k=None, r=None, kdtree=None):
         For each point finds the indices that compose it"s neighbourhood.

        Parameters

After Change

                    Number of points to be sampled.                      

        
        if name in ALL_SAMPLING:
            S = ALL_SAMPLING[name](self, **kwargs)
            S.extract_info()
            return S.compute()

        else:
            raise ValueError("Unsupported sampling. Check docstring") 
            
    def get_neighbors(self, k=None, r=None, kdtree=None):
         For each point finds the indices that compose it"s neighbourhood.

        Parameters

Instances