avoid importing a bunch of numpy functions
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@ -4,8 +4,6 @@ Drawing-related methods for Grid class
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from typing import List, Optional, Union, Sequence, Callable
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import numpy # type: ignore
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from numpy import diff, floor, ceil, zeros, hstack, newaxis
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from float_raster import raster
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from . import GridError, Direction
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@ -91,8 +89,8 @@ def draw_polygons(self,
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s_max = self.shifts.max(axis=0)
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bdi_min = self.pos2ind(bd_min + s_min, None, round_ind=False, check_bounds=False) - buf
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bdi_max = self.pos2ind(bd_max + s_max, None, round_ind=False, check_bounds=False) + buf
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bdi_min = numpy.maximum(floor(bdi_min), 0).astype(int)
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bdi_max = numpy.minimum(ceil(bdi_max), self.shape - 1).astype(int)
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bdi_min = numpy.maximum(numpy.floor(bdi_min), 0).astype(int)
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bdi_max = numpy.minimum(numpy.ceil(bdi_max), self.shape - 1).astype(int)
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# 3) Adjust polygons for center
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polygons = [poly + center[surface] for poly in polygons]
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@ -120,7 +118,7 @@ def draw_polygons(self,
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# eps[i] is scalar non-callable
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eps_i = eps[i]
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w_xy = zeros((bdi_max - bdi_min + 1)[surface].astype(int))
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w_xy = numpy.zeros((bdi_max - bdi_min + 1)[surface].astype(int))
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# Draw each polygon separately
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for polygon in polygons:
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@ -182,7 +180,7 @@ def draw_polygons(self,
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w_z[zi_bot] = zi_top_f - zi_bot_f
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# 3) Generate total weight function
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w = (w_xy[:, :, newaxis] * w_z).transpose(numpy.insert([0, 1], surface_normal, (2,)))
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w = (w_xy[:, :, None] * w_z).transpose(numpy.insert([0, 1], surface_normal, (2,)))
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# ## Modify the grid
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g_slice = (i,) + tuple(numpy.s_[bdi_min[a]:bdi_max[a] + 1] for a in range(3))
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@ -308,8 +306,8 @@ def draw_cylinder(self,
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theta = numpy.linspace(0, 2*numpy.pi, num_points, endpoint=False)
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x = radius * numpy.sin(theta)
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y = radius * numpy.cos(theta)
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polygon = hstack((x[:, newaxis], y[:, newaxis]))
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self.draw_polygon(surface_normal, center, polygon, thickness, eps)
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polygon = numpy.hstack((x[:, None], y[:, None]))
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def draw_extrude_rectangle(self,
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@ -347,7 +345,7 @@ def draw_extrude_rectangle(self,
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surface = numpy.delete(range(3), direction)
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dim = numpy.fabs(diff(rectangle, axis=0).T)[surface]
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dim = numpy.fabs(numpy.diff(rectangle, axis=0).T)[surface]
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p = numpy.vstack((numpy.array([-1, -1, 1, 1], dtype=float) * dim[0]/2.0,
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numpy.array([-1, 1, 1, -1], dtype=float) * dim[1]/2.0)).T
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thickness = distance
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@ -356,9 +354,9 @@ def draw_extrude_rectangle(self,
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for i, grid in enumerate(self.grids):
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z = self.pos2ind(rectangle[0, :], i, round_ind=False, check_bounds=False)[direction]
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ind = [int(floor(z)) if i == direction else slice(None) for i in range(3)]
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ind = [int(numpy.floor(z)) if i == direction else slice(None) for i in range(3)]
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fpart = z - floor(z)
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fpart = z - numpy.floor(z)
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mult = [1-fpart, fpart][::s] # reverses if s negative
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eps = mult[0] * grid[tuple(ind)]
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@ -81,7 +81,7 @@ class Grid:
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Returns:
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List of 3 ndarrays of cell sizes
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"""
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return [diff(self.exyz[a]) for a in range(3)]
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return [numpy.diff(ee) for ee in self.exyz]
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@property
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def xyz(self) -> List[numpy.ndarray]:
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@ -117,7 +117,7 @@ class Grid:
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list of [dxs, dys, dzs] with each element same length as elements of `self.xyz`
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"""
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el = [0 if p else -1 for p in self.periodic]
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return [hstack((self.dxyz[a], self.dxyz[a][e])) for a, e in zip(range(3), el)]
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return [numpy.hstack((self.dxyz[a], self.dxyz[a][e])) for a, e in zip(range(3), el)]
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@property
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def center(self) -> numpy.ndarray:
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@ -4,7 +4,6 @@ Position-related methods for Grid class
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from typing import List, Optional
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import numpy # type: ignore
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from numpy import zeros
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from . import GridError
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@ -97,7 +96,7 @@ def pos2ind(self,
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if self.shape[a] > 1 and (r[a] < sexyz[a][0] or r[a] > sexyz[a][-1]):
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raise GridError('Position[{}] outside of grid!'.format(a))
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grid_pos = zeros((3,))
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grid_pos = numpy.zeros((3,))
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for a in range(3):
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xi = numpy.digitize(r[a], sexyz[a]) - 1 # Figure out which cell we're in
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xi_clipped = numpy.clip(xi, 0, sexyz[a].size - 2) # Clip back into grid bounds
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@ -4,7 +4,6 @@ Readback and visualization methods for Grid class
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from typing import Dict, Optional, Union, Any
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import numpy # type: ignore
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from numpy import floor, ceil, zeros
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from . import GridError, Direction
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from ._helpers import is_scalar
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@ -56,9 +55,9 @@ def get_slice(self,
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center3 = numpy.insert([0, 0], surface_normal, (center,))
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center_index = self.pos2ind(center3, which_shifts,
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round_ind=False, check_bounds=False)[surface_normal]
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centers = numpy.unique([floor(center_index), ceil(center_index)]).astype(int)
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centers = numpy.unique([numpy.floor(center_index), numpy.ceil(center_index)]).astype(int)
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if len(centers) == 2:
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fpart = center_index - floor(center_index)
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fpart = center_index - numpy.floor(center_index)
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w = [1 - fpart, fpart] # longer distance -> less weight
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else:
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w = [1]
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@ -68,7 +67,7 @@ def get_slice(self,
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raise GridError('Coordinate of selected plane must be within simulation domain')
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# Extract grid values from planes above and below visualized slice
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sliced_grid = zeros(self.shape[surface])
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sliced_grid = numpy.zeros(self.shape[surface])
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for ci, weight in zip(centers, w):
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s = tuple(ci if a == surface_normal else numpy.s_[::sp] for a in range(3))
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sliced_grid += weight * self.grids[which_shifts][tuple(s)]
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