def indices_to_coords(self,indices):
# Converts indices to coordinates
assert is_vect(indices)
assert is_int(indices)
(N,) = indices.shape
D = len(self.coef)
# Does the hard work
raw_coords = np.empty((N,D))
res = indices
for d in xrange(D):
(coord,res) = divmod(res,self.coef[d])
raw_coords[:,d] = coord
# OOB indices mapped to NAN
oob_mask = self.are_indices_oob(indices)
raw_coords[oob_mask,:] = np.nan
oob_indices = self.indices_to_oob_indices(indices,oob_mask)
oob = OutOfBounds()
oob.build_from_oob_indices(oob_indices,D)
coords = Coordinates(raw_coords,oob)
assert coords.check()
return coords
def points_to_cell_coords(self,points):
"""
Figure out where points are. Returns the cell coordinate.
"""
assert is_mat(points)
(N,D) = points.shape
assert D == self.dim
# Get the OOB info
oob = OutOfBounds()
oob.build_from_points(self,points)
assert oob.check()
raw_coords = np.empty((N,D))
for d in xrange(D):
(low,high,num_cells) = self.grid_desc[d]
# Transform: [low,high) |-> [0,n)
transform = num_cells * (points[:,d] - low) / (high - low)
transform += self.fuzz
raw_coords[:,d] = np.floor(transform).astype(np.integer)
# Add a little fuzz to make sure stuff on the boundary is
# mapped correctly
# Fuzz top boundary to get [low,high]
fuzz_mask = np.logical_and(high <= points[:,d],
points[:,d] < high + 2*self.fuzz)
raw_coords[fuzz_mask,d] = num_cells - 1
# Counts things just a littttle bit greater than last cell
# boundary as part of the last cell
raw_coords[oob.mask,:] = np.nan
assert is_int(raw_coords)
coords = Coordinates(raw_coords,oob)
assert coords.check()
return coords