avoid importing a bunch of numpy functions

cell_data
Jan Petykiewicz 3 years ago
parent d054fc5a94
commit fbf173072a

@ -4,8 +4,6 @@ Drawing-related methods for Grid class
from typing import List, Optional, Union, Sequence, Callable
import numpy # type: ignore
from numpy import diff, floor, ceil, zeros, hstack, newaxis
from float_raster import raster
from . import GridError, Direction
@ -91,8 +89,8 @@ def draw_polygons(self,
s_max = self.shifts.max(axis=0)
bdi_min = self.pos2ind(bd_min + s_min, None, round_ind=False, check_bounds=False) - buf
bdi_max = self.pos2ind(bd_max + s_max, None, round_ind=False, check_bounds=False) + buf
bdi_min = numpy.maximum(floor(bdi_min), 0).astype(int)
bdi_max = numpy.minimum(ceil(bdi_max), self.shape - 1).astype(int)
bdi_min = numpy.maximum(numpy.floor(bdi_min), 0).astype(int)
bdi_max = numpy.minimum(numpy.ceil(bdi_max), self.shape - 1).astype(int)
# 3) Adjust polygons for center
polygons = [poly + center[surface] for poly in polygons]
@ -120,7 +118,7 @@ def draw_polygons(self,
# eps[i] is scalar non-callable
eps_i = eps[i]
w_xy = zeros((bdi_max - bdi_min + 1)[surface].astype(int))
w_xy = numpy.zeros((bdi_max - bdi_min + 1)[surface].astype(int))
# Draw each polygon separately
for polygon in polygons:
@ -182,7 +180,7 @@ def draw_polygons(self,
w_z[zi_bot] = zi_top_f - zi_bot_f
# 3) Generate total weight function
w = (w_xy[:, :, newaxis] * w_z).transpose(numpy.insert([0, 1], surface_normal, (2,)))
w = (w_xy[:, :, None] * w_z).transpose(numpy.insert([0, 1], surface_normal, (2,)))
# ## Modify the grid
g_slice = (i,) + tuple(numpy.s_[bdi_min[a]:bdi_max[a] + 1] for a in range(3))
@ -308,8 +306,8 @@ def draw_cylinder(self,
theta = numpy.linspace(0, 2*numpy.pi, num_points, endpoint=False)
x = radius * numpy.sin(theta)
y = radius * numpy.cos(theta)
polygon = hstack((x[:, newaxis], y[:, newaxis]))
self.draw_polygon(surface_normal, center, polygon, thickness, eps)
polygon = numpy.hstack((x[:, None], y[:, None]))
def draw_extrude_rectangle(self,
@ -347,7 +345,7 @@ def draw_extrude_rectangle(self,
surface = numpy.delete(range(3), direction)
dim = numpy.fabs(diff(rectangle, axis=0).T)[surface]
dim = numpy.fabs(numpy.diff(rectangle, axis=0).T)[surface]
p = numpy.vstack((numpy.array([-1, -1, 1, 1], dtype=float) * dim[0]/2.0,
numpy.array([-1, 1, 1, -1], dtype=float) * dim[1]/2.0)).T
thickness = distance
@ -356,9 +354,9 @@ def draw_extrude_rectangle(self,
for i, grid in enumerate(self.grids):
z = self.pos2ind(rectangle[0, :], i, round_ind=False, check_bounds=False)[direction]
ind = [int(floor(z)) if i == direction else slice(None) for i in range(3)]
ind = [int(numpy.floor(z)) if i == direction else slice(None) for i in range(3)]
fpart = z - floor(z)
fpart = z - numpy.floor(z)
mult = [1-fpart, fpart][::s] # reverses if s negative
eps = mult[0] * grid[tuple(ind)]

@ -81,7 +81,7 @@ class Grid:
Returns:
List of 3 ndarrays of cell sizes
"""
return [diff(self.exyz[a]) for a in range(3)]
return [numpy.diff(ee) for ee in self.exyz]
@property
def xyz(self) -> List[numpy.ndarray]:
@ -117,7 +117,7 @@ class Grid:
list of [dxs, dys, dzs] with each element same length as elements of `self.xyz`
"""
el = [0 if p else -1 for p in self.periodic]
return [hstack((self.dxyz[a], self.dxyz[a][e])) for a, e in zip(range(3), el)]
return [numpy.hstack((self.dxyz[a], self.dxyz[a][e])) for a, e in zip(range(3), el)]
@property
def center(self) -> numpy.ndarray:

@ -4,7 +4,6 @@ Position-related methods for Grid class
from typing import List, Optional
import numpy # type: ignore
from numpy import zeros
from . import GridError
@ -97,7 +96,7 @@ def pos2ind(self,
if self.shape[a] > 1 and (r[a] < sexyz[a][0] or r[a] > sexyz[a][-1]):
raise GridError('Position[{}] outside of grid!'.format(a))
grid_pos = zeros((3,))
grid_pos = numpy.zeros((3,))
for a in range(3):
xi = numpy.digitize(r[a], sexyz[a]) - 1 # Figure out which cell we're in
xi_clipped = numpy.clip(xi, 0, sexyz[a].size - 2) # Clip back into grid bounds

@ -4,7 +4,6 @@ Readback and visualization methods for Grid class
from typing import Dict, Optional, Union, Any
import numpy # type: ignore
from numpy import floor, ceil, zeros
from . import GridError, Direction
from ._helpers import is_scalar
@ -56,9 +55,9 @@ def get_slice(self,
center3 = numpy.insert([0, 0], surface_normal, (center,))
center_index = self.pos2ind(center3, which_shifts,
round_ind=False, check_bounds=False)[surface_normal]
centers = numpy.unique([floor(center_index), ceil(center_index)]).astype(int)
centers = numpy.unique([numpy.floor(center_index), numpy.ceil(center_index)]).astype(int)
if len(centers) == 2:
fpart = center_index - floor(center_index)
fpart = center_index - numpy.floor(center_index)
w = [1 - fpart, fpart] # longer distance -> less weight
else:
w = [1]
@ -68,7 +67,7 @@ def get_slice(self,
raise GridError('Coordinate of selected plane must be within simulation domain')
# Extract grid values from planes above and below visualized slice
sliced_grid = zeros(self.shape[surface])
sliced_grid = numpy.zeros(self.shape[surface])
for ci, weight in zip(centers, w):
s = tuple(ci if a == surface_normal else numpy.s_[::sp] for a in range(3))
sliced_grid += weight * self.grids[which_shifts][tuple(s)]

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