def generate_unblocked():
invalid_positions = [(5, y) for y in range(10) if y != 5]
verticies, edges = gg.generate_grid(0, 10, 0, 10,
gg.make_predicate(invalid_positions))
starts = [(0, 0)]
goals = [(10, 10)]
#gg.plot_grid(verticies, edges)
return (verticies, edges, starts, goals)
def generate():
invalid_positions = [(6, y) for y in range(11) if y != 4
] + [(4, y) for y in range(11) if y != 6]
verticies, edges = gg.generate_grid(0, 10, 0, 10,
gg.make_predicate(invalid_positions))
starts = [(0, 0), (10, 10)]
goals = [(10, 10), (0, 0)]
gg.plot_grid(verticies, edges)
return (verticies, edges, starts, goals)
def generate_unblocked():
invalid_positions = [(6, y) for y in range(3, 12) if y != 5 ] + \
[(x, 10) for x in range(5)] + \
[(x, 4) for x in range(5)] + [(4, 3), (6, 3), (7, 4) , (8, 4), (7, 6) , (8, 6)]
verticies, edges = gg.generate_grid(0, 15, 0, 11,
gg.make_predicate(invalid_positions))
starts = [(1, 11)]
goals = [(14, 1)]
gg.plot_grid(verticies, edges, start=starts, goal=goals)
return (verticies, edges, starts, goals)
from bout_runners.bout_runners import PBS_runner
from post_processing_MMS import perform_MMS_test
from grid_generator import generate_grid
# Generate the grids
# Specify the grid dimensions
grid_numbers = [8, 16, 32]
# Make an append able list
grid_files = []
for grid_number in grid_numbers:
file_name = 'grid_file_' + str(grid_number)
# Generate the grids
generate_grid(nx = grid_number,\
ny = grid_number,\
nz = grid_number,\
inp_path = 'MMS' ,\
file_name = file_name)
# Append the grid_files list
grid_files.append(file_name + '.nc')
my_runs = PBS_runner(\
# Specify the numbers used for the BOUT runs
nproc = 4,\
BOUT_nodes = 1,\
BOUT_ppn = 4,\
BOUT_walltime = '0:15:00',\
BOUT_queue = None,\
BOUT_mail = None,\
# Specify the numbers used for the post processing
#!/usr/bin/env python
"""Driver which runs 3D_diffusion using grid files."""
from bout_runners.bout_runners import basic_runner
from grid_generator import generate_grid
# Generate a grid
generate_grid(file_name = "3D_diffusion_grid",\
inp_path = "data")
my_runs = basic_runner(\
grid_file = "3D_diffusion_grid.nc",\
# Copy the grid file
cpy_grid = True,\
# Set the flag in 3D_diffusion that a grid file will be
# used
additional = ('flags', 'use_grid', 'true')\
)
my_runs.execute_runs()
from bout_runners.bout_runners import PBS_runner
from post_processing_MMS import perform_MMS_test
from grid_generator import generate_grid
# Generate the grids
# Specify the grid dimensions
grid_numbers = [8, 16, 32]
# Make an append able list
grid_files = []
for grid_number in grid_numbers:
file_name = 'grid_file_' + str(grid_number)
# Generate the grids
generate_grid(nx = grid_number,\
ny = grid_number,\
nz = grid_number,\
inp_path = 'MMS' ,\
file_name = file_name)
# Append the grid_files list
grid_files.append(file_name + '.nc')
my_runs = PBS_runner(\
# Specify the numbers used for the BOUT runs
nproc = 4,\
BOUT_nodes = 1,\
BOUT_ppn = 4,\
BOUT_walltime = '0:15:00',\
BOUT_queue = None,\
BOUT_mail = None,\
# Specify the numbers used for the post processing
post_process_nproc = 1,\
#!/usr/bin/env python
"""Driver which runs 3D_diffusion using grid files."""
from bout_runners.bout_runners import basic_runner
from grid_generator import generate_grid
# Generate a grid
generate_grid(file_name = "3D_diffusion_grid",\
inp_path = "data")
my_runs = basic_runner(\
grid_file = "3D_diffusion_grid.nc",\
# Copy the grid file
cpy_grid = True,\
# Set the flag in 3D_diffusion that a grid file will be
# used
additional = ('flags', 'use_grid', 'true')\
)
my_runs.execute_runs()
