def prepare_input(config_file):
# get simulation inputs from configuration file
lambd, mu, rho, min_x, max_x, min_y, max_y, min_z, max_z, N_x, N_y, N_z, t_0, t_f, N_t, outfile = parse_input(config_file)
# Grid spacing in each dimension
# We divide by N_i - 1 so that we include L_x in our boundary
dx = (max_x - min_x) / N_x
dy = (max_y - min_y) / N_y
dz = (max_z - min_z) / N_z
# Timestep
dt = (t_f - t_0) / N_t
# Grid size in each direction
L_x = np.float64(max_x) - np.float64(min_x)
L_y = np.float64(max_y) - np.float64(min_y)
L_z = np.float64(max_z) - np.float64(min_z)
return N_x, N_y, N_z, N_t, L_x, L_y, L_z, dx, dy, dz, dt, mu, rho, lambd, t_0, t_f, outfile
if __name__ == '__main__':
import sys
config_file = sys.argv[1]
# Run the simulation!
go(*(prepare_input(config_file)))
lambd, mu, rho, min_x, max_x, min_y, max_y, min_z, max_z, N_x, N_y, N_z, t_0, t_f, N_t, outfile = parse_input(config_file)
# Grid spacing in each dimension
# We divide by N_i - 1 so that we include L_x in our boundary
dx = (max_x - min_x) / N_x
dy = (max_y - min_y) / N_y
dz = (max_z - min_z) / N_z
# Timestep
dt = (t_f - t_0) / N_t
# Grid size in each direction
L_x = np.float64(max_x) - np.float64(min_x)
L_y = np.float64(max_y) - np.float64(min_y)
L_z = np.float64(max_z) - np.float64(min_z)
return N_x, N_y, N_z, N_t, L_x, L_y, L_z, dx, dy, dz, dt, mu, rho, lambd, t_0, t_f, outfile
if __name__ == '__main__':
import sys
config_file = sys.argv[1]
opts = prepare_input(config_file)
outfile = opts[-1]
with Timer() as t:
go(*opts)
with open('time-{}'.format(outfile), 'w') as file:
print(t.interval, file=file)
config_file)
# Grid spacing in each dimension
# We divide by N_i - 1 so that we include L_x in our boundary
dx = (max_x - min_x) / N_x
dy = (max_y - min_y) / N_y
dz = (max_z - min_z) / N_z
# Timestep
dt = (t_f - t_0) / N_t
# Grid size in each direction
L_x = np.float64(max_x) - np.float64(min_x)
L_y = np.float64(max_y) - np.float64(min_y)
L_z = np.float64(max_z) - np.float64(min_z)
return N_x, N_y, N_z, N_t, L_x, L_y, L_z, dx, dy, dz, dt, mu, rho, lambd, t_0, t_f, outfile
if __name__ == '__main__':
import sys
config_file = sys.argv[1]
opts = prepare_input(config_file)
outfile = opts[-1]
with Timer() as t:
go(*opts)
with open('time-{}'.format(outfile), 'w') as file:
print(t.interval, file=file)
N_x = 100
N_y = 100
N_z = 100
# Grid spacing in each dimension
dx = (max_x - min_x) / N_x
dy = (max_y - min_y) / N_y
dz = (max_z - min_z) / N_z
# Total simulation time and number of time points
t_0 = 0
t_f = 1
N_t = 100
ts = np.linspace(t_0, t_f, N_t)
dt = (t_f - t_0) / N_t
# Number of parameters stored at each grid point
num_params = 20
# Instantiate the grid
# +2 for ghost regions at the edge
# grid = np.zeros( (N_x + 2, N_y + 2, N_z + 2, num_params), dtype=np.float64_t )
# Run the simulation
with nogil:
go(N_x, N_y, N_z, N_t,
np.float64(dx), np.float64(dy), np.float64(dz), np.float64(dt),
np.float64(mu), np.float64(rho), np.float64(lambd),
np.float64(t_0), np.float64(t_f), ts)
# grid)
