Commit 78ab6911 authored by Sebastian Bindgen's avatar Sebastian Bindgen
Browse files

PEP8 notebook

parent 02d87427
......@@ -7,17 +7,19 @@
%% Cell type:code id: tags:
``` python
from lbmpy.session import *
from lbmpy.updatekernels import create_stream_pull_with_output_kernel
from lbmpy.macroscopic_value_kernels import macroscopic_values_getter, macroscopic_values_setter
from lbmpy.macroscopic_value_kernels import macroscopic_values_getter
from lbmpy.macroscopic_value_kernels import macroscopic_values_setter
from lbmpy.maxwellian_equilibrium import get_weights
from lbmpy.methods.creationfunctions import create_from_equilibrium
from lbmpy.relaxationrates import lattice_viscosity_from_relaxation_rate
from pystencils.astnodes import LoopOverCoordinate
from pystencils.slicing import get_slice_before_ghost_layer, get_ghost_region_slice
from pystencils.slicing import get_periodic_boundary_functor
from pystencils.slicing import get_slice_before_ghost_layer
from pystencils.slicing import get_ghost_region_slice
from pystencils.slicing import get_periodic_boundary_functor
from functools import partial
```
%% Cell type:markdown id: tags:
......@@ -25,17 +27,17 @@
%% Cell type:code id: tags:
``` python
N = 64 # domain size
omega = 1. # relaxation rate of first component
omega = 1. # relaxation rate of first component
U_x = 0.1 # shear velocity
shear_dir = 0 # direction of shear flow
shear_dir_normal = 1 # direction normal to the shear plane. Needed for the interpolation.
shear_dir_normal = 1 # direction normal to shear plane, for interpolation
stencil = get_stencil("D2Q9")
weights = get_weights(stencil, c_s_sq=sp.Rational(1,3))
weights = get_weights(stencil, c_s_sq=sp.Rational(1, 3))
```
%% Cell type:markdown id: tags:
## Data structures
......@@ -48,11 +50,13 @@
%% Cell type:code id: tags:
``` python
dim = len(stencil[0])
dh = ps.create_data_handling((N, ) * dim, periodicity=True, default_target='cpu')
dh = ps.create_data_handling((N, ) * dim,
periodicity=True,
default_target='cpu')
src = dh.add_array('src', values_per_cell=len(stencil))
dst = dh.add_array_like('dst', 'src')
F = dh.add_array('F', values_per_cell=dh.dim)
......@@ -68,44 +72,56 @@
Hence, we construct a piec wise function that fulfills this.
%% Cell type:code id: tags:
``` python
counters = [LoopOverCoordinate.get_loop_counter_symbol(i) for i in range(dim)]
points_up, points_down = sp.Symbol("points_up"), sp.Symbol("points_down")
U_p = sp.Piecewise((1, sp.And(ps.data_types.type_all_numbers(counters[1] <= 1, "int"), points_down)),
(-1, sp.And(ps.data_types.type_all_numbers(counters[1] >= src.shape[1]-2, "int"), points_up)),
(0, True)) * U_x
counters = [LoopOverCoordinate.get_loop_counter_symbol(i) for i in
range(dim)]
(points_up, points_down) = (sp.Symbol('points_up'),
sp.Symbol('points_down'))
U_p = sp.Piecewise((1,
sp.And(ps.data_types.type_all_numbers(
counters[1] <= 1, 'int'),
points_down)),
(-1,
sp.And(ps.data_types.type_all_numbers(
counters[1] >= src.shape[1] - 2, 'int'),
points_up)),
(0, True)) \
* U_x
```
%% Cell type:markdown id: tags:
For the LB update we will use a velocity input in the shearing direction with the magnitude U_x that is defined further up.
%% Cell type:code id: tags:
``` python
collision = create_lb_update_rule(stencil=stencil,
relaxation_rate=omega,
compressible=True,
velocity_input=u.center_vector + sp.Matrix([U_p, 0]),
density_input=ρ,
force_model='luo',
force = F.center_vector,
kernel_type='collide_only',
optimization={'symbolic_field': src})
relaxation_rate=omega,
compressible=True,
velocity_input=u.center_vector+sp.Matrix(
[U_p, 0]),
density_input=ρ,
force_model='luo',
force=F.center_vector,
kernel_type='collide_only',
optimization={'symbolic_field': src})
```
%% Cell type:markdown id: tags:
We need to get the populations that cross the upper and lower boundary respectively.
%% Cell type:code id: tags:
``` python
to_insert = [s.lhs for s in collision.subexpressions
if collision.method.first_order_equilibrium_moment_symbols[shear_dir] in s.free_symbols]
if collision.method.first_order_equilibrium_moment_symbols[
shear_dir]
in s.free_symbols]
for s in to_insert:
collision = collision.new_with_inserted_subexpression(s)
ma = []
for a, c in zip(collision.main_assignments, collision.method.stencil):
if c[shear_dir_normal] == -1:
......@@ -121,12 +137,12 @@
```
%% Cell type:code id: tags:
``` python
stream = create_stream_pull_with_output_kernel(collision.method, src, dst,
{'density': ρ, 'velocity': u})
stream = create_stream_pull_with_output_kernel(collision.method, src, dst,
{'density': ρ, 'velocity': u})
opts = {
'target': dh.default_target}
stream_kernel = ps.create_kernel(stream, **opts).compile()
collision_kernel = ps.create_kernel(collision, **opts).compile()
......@@ -137,12 +153,12 @@
## Initialization
%% Cell type:code id: tags:
``` python
init = macroscopic_values_setter(collision.method, velocity=(0, 0),
pdfs=src.center_vector, density=ρ.center)
init = macroscopic_values_setter(collision.method, velocity=(0, 0),
pdfs=src.center_vector, density=ρ.center)
init_kernel = ps.create_kernel(init, ghost_layers=0).compile()
```
%% Cell type:code id: tags:
......@@ -163,40 +179,40 @@
After applying the regular periodic boundary conditions we interpolate back in the original cells by using a linear interpolation scheme. In this step the corners are not special anymore so that we can just use the entire upper and lower slab.
%% Cell type:code id: tags:
``` python
def get_le_boundary_functor(stencil, offset, ghost_layers=1, thickness=None):
def get_le_boundary_functor(stencil, offset, ghost_layers=1, thickness=None):
functor_2 = get_periodic_boundary_functor(stencil, ghost_layers, thickness)
def functor(pdfs, **_):
functor_2(pdfs)
weight = np.fmod(offset[0] + N, 1.)
# First, we interpolate the upper pdfs
for i in range(len(pdfs[:,ghost_layers,:])):
for i in range(len(pdfs[:, ghost_layers, :])):
ind1 = int(np.floor(i - offset[0]) % N)
ind2 = int(np.ceil(i - offset[0]) % N)
ind2 = int(np.ceil(i - offset[0]) % N)
res = (1-weight) * pdfs[ind1, ghost_layers, :] + \
weight * pdfs[ind2, ghost_layers, :]
pdfs[i,-ghost_layers,:] = res
# Second, we interpolate the lower pdfs
for i in range(len(pdfs[:,-ghost_layers,:])):
weight * pdfs[ind2, ghost_layers, :]
pdfs[i, -ghost_layers, :] = res
# Second, we interpolate the lower pdfs
for i in range(len(pdfs[:, -ghost_layers, :])):
ind1 = int(np.floor(i + offset[0]) % N)
ind2 = int(np.ceil(i + offset[0]) % N)
ind2 = int(np.ceil(i + offset[0]) % N)
res = (1-weight) * pdfs[ind1, -ghost_layers-1, :] + \
weight * pdfs[ind2, -ghost_layers-1, :]
pdfs[i,ghost_layers-1,:] = res
weight * pdfs[ind2, -ghost_layers-1, :]
pdfs[i, ghost_layers-1, :] = res
return functor
```
%% Cell type:markdown id: tags:
......@@ -205,20 +221,24 @@
%% Cell type:code id: tags:
``` python
offset = [0.0]
sync_pdfs = dh.synchronization_function([src.name], functor = partial(get_le_boundary_functor, offset = offset))
sync_pdfs = dh.synchronization_function([src.name],
functor=partial(
get_le_boundary_functor,
offset=offset))
def time_loop(steps):
dh.all_to_gpu()
for i in range(steps):
dh.run_kernel(collision_kernel)
sync_pdfs()
dh.run_kernel(stream_kernel)
dh.swap(src.name, dst.name)
offset[0] += U_x
dh.all_to_cpu()
```
......@@ -276,33 +296,37 @@
%% Cell type:code id: tags:
``` python
def w(x, t, nu, v=1.0, h=1.0, k_max=10):
w = x/h-0.5
for k in np.arange(1,k_max+1):
w += 1.0/(np.pi*k) * np.exp(-4*np.pi**2*nu*k**2/h**2*t) * np.sin(2*np.pi/h*k*x)
return v*w
w = x/h-0.5
for k in np.arange(1, k_max+1):
w += 1.0/(np.pi*k) * \
np.exp(-4*np.pi**2*nu*k**2/h**2*t) * \
np.sin(2*np.pi/h*k*x)
return v*w
```
%% Cell type:code id: tags:
``` python
nu = lattice_viscosity_from_relaxation_rate(omega)
h = N
k_max=100
k_max = 100
X = np.linspace(0.5, h-0.5, h)
U = w(X, time, nu, U_x, h, k_max)
plt.plot(U, X, label='analytical')
X_lb = np.linspace(0.5, h-0.5, h)
plt.plot(dh.gather_array(u.name)[0,:,0], X_lb, 'o-', label='lbmpy')
plt.plot(dh.gather_array(u.name)[0, :, 0], X_lb, 'o-', label='lbmpy')
plt.legend()
np.testing.assert_array_almost_equal(U, dh.gather_array(u.name)[0,:,0], decimal = 5)
np.testing.assert_array_almost_equal(U,
dh.gather_array(u.name)[0, :, 0],
decimal=5)
```
%%%% Output: display_data
![](data:image/png;base64,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)
......@@ -318,24 +342,24 @@
``` python
def time_loop_2(steps):
dh.all_to_gpu()
for i in range(steps):
dh.run_kernel(collision_kernel)
sync_pdfs()
dh.run_kernel(stream_kernel)
dh.swap(src.name, dst.name)
dh.all_to_cpu()
def init_2():
dh.fill(ρ.name, 1.)
dh.run_kernel(init_kernel)
dh.fill(u.name, 0.0)
dh.fill(F.name, 0.0)
dh.cpu_arrays[F.name][N//3,1,:] = [1e-2,-1e-1]
dh.cpu_arrays[F.name][N//3, 1, :] = [1e-2, -1e-1]
```
%% Cell type:markdown id: tags:
## Run the simulation without any offset and a constant offset
......@@ -348,11 +372,11 @@
init_2()
time = 20
time_loop_2(time)
plot_v()
vel_unshifted = np.array(dh.gather_array(u.name)[:,-3:-1,:])
vel_unshifted = np.array(dh.gather_array(u.name)[:, -3:-1, :])
```
%%%% Output: display_data
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)
......@@ -365,11 +389,11 @@
init_2()
time = 20
time_loop_2(time)
plot_v()
vel_shifted = np.array(dh.gather_array(u.name)[:,-3:-1,:])
vel_shifted = np.array(dh.gather_array(u.name)[:, -3:-1, :])
```
%%%% Output: display_data
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)
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