def main():
data = np.genfromtxt('Data/Sudoku.csv',
delimiter=';',
names=True,
dtype=('>i4', '>i4', '|U81', '|U81'))
sudokus = [Sudoku(i) for i in data]
times = []
sudokus = sudokus[:4]
for sudoku in sudokus:
start = timer()
solve(sudoku.grid)
print(str(sudoku.is_solved()))
end = timer()
times.append(end - start)
x = np.linspace(1, len(sudokus), len(sudokus))
y = times
for xx, yy in zip(x, y):
label = '{:.2f}'.format(yy)
plt.annotate(label, (xx, yy),
textcoords='offset points',
xytext=(0, 10),
ha='center')
plt.scatter(x, y)
plt.xticks(np.arange(min(x), max(x) + 1, 1))
plt.title('Time to solve')
plt.xlabel('Puzzle no.')
plt.ylabel('Time (s)')
plt.show()
def main():
starting_state = state_tree.build_state_from_grid(example_grid)
solution = solve(starting_state)
print("Here's the solution:")
for line in solution:
print(line)
return
def main():
starting_state = state_tree.build_state_from_grid(example_grid)
solution = solve(starting_state)
print("Here's the solution:")
for line in solution:
print(line)
return
def main(start='', genetic=False):
zip_code()
for p in get_prob_names(start):
prob = read_file(p)
solve(prob, genetic)
prob.prepare_for_output()
if False:
print(prob.score())
print('---- CUT HERE ----')
prob.output_sol(sys.stdout)
with open('0_sol_' + p, 'w') as f:
prob.output_sol(f)
def test_findall(self):
solve(findall(or_(prin(1), prin(2))))
md.cluster = cluster
if clustername != gethostname():
md.cluster.interactive = 0
md.settings.waitonlock = 0
else:
md.cluster.interactive = 1
md.settings.waitonlock = math.inf
md.transient.requested_outputs = [
'TotalSmb', 'SmbMassBalance', 'IceVolume',
'IceVolumeAboveFloatation', 'IceVolumeAboveFloatationScaled',
'GroundedAreaScaled', 'FloatingAreaScaled', 'IceMass',
'GroundedArea', 'FloatingArea', 'TotalFloatingBmb',
'BasalforcingsFloatingiceMeltingRate', 'Calvingratex',
'Calvingratey', 'CalvingCalvingrate', 'TotalCalvingFluxLevelset'
]
md = solve(md, which_run[run_type][3], 'runtimename', 0)
# }}}
# Retriever {{{
elif launch_or_get == 'r':
print('retreiving')
md = getattr(my_Runner2, which_run[run_type][1])(params, run_name,
load_name)
md.cluster = cluster
md = loadresultsfromcluster(md, run_name)
export_netCDF(md, model_name)
#exportVTK(vtk_name, md, 'geometry', 'mesh','mask', 'stressbalance', 'materials', 'friction', 'calving')
filename = md.miscellaneous.name
if len(md.results.TransientSolution) == (
md.timestepping.final_time * 10 /
md.settings.output_frequency) + 1:
md = parameterize(md, '../Par/SquareShelf.py')
md = setflowequation(md, 'SSA', 'all')
md.extrude(3, 1.)
md.cluster = generic('name', gethostname(), 'np', 2)
md.transient.isthermal = False
md.timestepping.time_step = 1.
md.settings.output_frequency = 1
md.timestepping.final_time = 2000.
#Solve for thinning rate -> -1 * surface mass balance
smb = 2. * np.ones((md.mesh.numberofvertices))
md.smb.mass_balance = smb
md.basalforcings.groundedice_melting_rate = smb
md = solve(md, 'Masstransport')
for i in xrange(1, 11):
md = solve(md, 'Masstransport')
md.smb.mass_balance = md.smb.mass_balance - (
(md.results.MasstransportSolution.Thickness) - md.geometry.thickness)
#Set up transient
smb = md.smb.mass_balance
#tooth= [ [ones(400,1)*(smb') - 10.]' [ones(400,1)*(smb')]' ]
tooth = np.hstack((np.tile(smb - 10., (1, 400)), np.tile(smb, (1, 400))))
#smb=[ [ones(399,1)*(smb')]' smb tooth tooth]
smb = np.hstack((np.tile(smb, (1, 399)), smb, tooth, tooth))
#md.smb.mass_balance= smb
from socket import gethostname
from triangle import *
from setmask import *
from parameterize import *
from setflowequation import *
from solve import *
md = triangle(model(), '../Exp/Square.exp', 150000.)
md = setmask(md, '../Exp/SquareShelf.exp', '')
md = parameterize(md, '../Par/SquareSheetShelf.py')
md.extrude(3, 2.)
md = setflowequation(md, 'SSA', 'all')
md.cluster = generic('name', gethostname(), 'np', 3)
md.timestepping.time_step = 0
md = solve(md, 'Steadystate')
#Fields and tolerances to track changes
field_names = [
'Vx', 'Vy', 'Vz', 'Vel', 'Pressure', 'Temperature',
'BasalforcingsGroundediceMeltingRate'
]
field_tolerances = [1e-09, 1e-09, 1e-08, 1e-09, 1e-13, 5e-10, 1e-06]
field_values=[\
md.results.SteadystateSolution.Vx,\
md.results.SteadystateSolution.Vy,\
md.results.SteadystateSolution.Vz,\
md.results.SteadystateSolution.Vel,\
md.results.SteadystateSolution.Pressure,\
md.results.SteadystateSolution.Temperature,\
md.results.SteadystateSolution.BasalforcingsGroundediceMeltingRate,\
from solve import *
from randTest import *
from genTest import *
if __name__ == "__main__":
#clear the console
clear = lambda: os.system('cls')
clear()
#accept input
print("""Enter a method by its number (default method 1):
1: Solve single problem with GUI
2: Benchmarking. Solve every problem with every generation algorithm and SOLMAX
3: Benchmarking. Solve single problem with sets of randomly generated tours\n"""
)
method = input()
clear()
#run either the tests or problem solver
if method == "2":
genTest()
elif method == "3":
randTest()
else:
solve()
from solve import *
from gen_data import make_data
Ns = [10, 20]
points = np.array([(1, 0.5), (2, 2)])
vars = np.array([0.5, 0.1])
classes = np.array([-1, 1])
make_data(Ns, points, vars, classes, out="test")
solve("test.npz", out="test.png", plot=False)
def test_nqueens():
assert solve(0, 4, []) == 2
assert solve(0, 8, []) == 92
#!/usr/bin/python
import sys
from solve import *
f = open(sys.argv[1], "r")
lines = f.readlines()[1:] # skip first line
c = 1
i = 0
while i < len(lines):
n, l, h = map(int, lines[i].split(" "))
numbers = map(int, lines[i + 1].split(" "))
s = solve(l, h, numbers)
if s == None:
print "Case #%s: %s" % (c, "NO")
else:
print "Case #%s: %s" % (c, s)
i += 2
c += 1
seed = 5
counter = 0
K = len(y_coords) * len(var_vals) * len(params) * len(slacks)
for k in range(len(params)):
anim_files = [""] * len(y_coords) * len(var_vals)
for i in range(len(var_vals)):
for j in range(len(y_coords)):
for c in range(len(slacks)):
Ns = [10, 10, 20]
points = np.array([(-2, 0), (2, 0), (0, y_coords[j])])
vars = np.array([var_vals[i]] * 3)
classes = np.array([1, 1, -1])
make_data(Ns, points, vars, classes, out="test", seed=seed)
anim_file = "{}{}.jpg".format(name, counter)
title = "Var={:0.3f}, param={}, slack={:0.3f}".format(
var_vals[i], params[k], slacks[c])
solve("test.npz",
kern_type="poly",
kern_param=params[k],
out=anim_file,
plot=False,
title=title,
slack=slacks[c])
anim_files[j] = anim_file
counter += 1
print("image {}/{}".format(counter, K))
# print("creating animation")
# create_anim(anim_files, out="anim_p{}.mp4".format(params[k]), duration=0.4)
#Test Name: PigBalVel2
from model import *
from socket import gethostname
from triangle import *
from setmask import *
from parameterize import *
from setflowequation import *
from solve import *
md = triangle(model(), '../Exp/Pig.exp', 20000.)
md = setmask(md, '../Exp/PigShelves.exp', '../Exp/PigIslands.exp')
md = parameterize(md, '../Par/Pig.py')
md.initialization.vx[:] = 0.
md.initialization.vy[:] = 0.
md = setflowequation(md, 'SSA', 'all')
md.cluster = generic('name', gethostname(), 'np', 3)
md = solve(md, 'Balancevelocity')
# Fields and tolerances to track changes
field_names = ['DrivingStressX', 'DrivingStressY', 'Vel']
field_tolerances = [1e-13, 1e-13, 1e-13]
field_values=[\
md.results.BalancevelocitySolution.DrivingStressX,\
md.results.BalancevelocitySolution.DrivingStressY,\
md.results.BalancevelocitySolution.Vel,\
]
# locate other code files
sys.path.append("../../")
import numpy as np
from solve import *
from gen_data import make_data
from printer import create_anim
name = "moving_clusters"
y_coords = np.linspace(-3, 3, 20)
var_vals = np.linspace(0.1, 0.9, 10)
counter = 0
K = len(y_coords)*len(var_vals)
for i in range(len(var_vals)):
anim_files = [""]*len(y_coords)
for j in range(len(y_coords)):
Ns = [10, 10, 20]
points = np.array([(-2, 0), (2, 0), (0, y_coords[j])])
vars = np.array([var_vals[i]]*3)
classes = np.array([1, 1, -1])
make_data(Ns, points, vars, classes, out="test")
anim_file = "{}{}.jpg".format(name, counter)
solve("test.npz", out=anim_file, plot=False, title="Var: {}".format(var_vals[i]))
anim_files[j] = anim_file
counter += 1
print("image {}/{}".format(counter, K))
# create_anim(anim_files, out="anim{}.gif".format(i), duration=0.5)
#Define a model
md=model()
md=triangle(md,'../Exp/Square.exp',100000.)
md=setmask(md,'','')
md=parameterize(md,'../Par/SquareSheetConstrained.py')
#Indicate what you want to compute
md.gia.cross_section_shape=1 # for square-edged x-section
#Define loading history (see test2001.m for the description)
md.timestepping.start_time=2400000 # 2,400 kyr
md.timestepping.final_time=2500000 # 2,500 kyr
md.geometry.thickness=np.vstack((np.hstack((md.geometry.thickness*0.0, 0.0)),
np.hstack((md.geometry.thickness/2.0, 0.1)),
np.hstack((md.geometry.thickness, 0.2)),
np.hstack((md.geometry.thickness, 1.0)),
np.hstack((md.geometry.thickness, md.timestepping.start_time)))).T
#Solve for GIA deflection
md.cluster=generic('name',gethostname(),'np',3)
md=solve(md,'Gia')
#Fields and tolerances to track changes
field_names =['GiaW','GiadWdt']
field_tolerances=[1e-13,1e-13]
field_values =[md.results.GiaSolution.GiaW,
md.results.GiaSolution.GiadWdt]
for i in range(0, 450, 50):
if mouse_y - i < 50:
start_y = i
break
pygame.draw.line(screen, (0, 0, 0), (start_x, start_y),
(start_x, start_y + 50), 3)
pygame.draw.line(screen, (0, 0, 0), (start_x, start_y),
(start_x + 50, start_y), 3)
pygame.draw.line(screen, (0, 0, 0), (start_x + 50, start_y),
(start_x + 50, start_y + 50), 3)
pygame.draw.line(screen, (0, 0, 0), (start_x, start_y + 50),
(start_x + 50, start_y + 50), 3)
is_clicked = True
if mouse_x < 100 and mouse_y > 450:
solve(given)
keys = pygame.key.get_pressed()
if not given[start_y / 50][start_x / 50]:
color = (150, 150, 150)
if keys[pygame.K_1]:
check(1)
number(1, start_x + 25, start_y + 25)
board[start_y / 50][start_x / 50] = 1
if keys[pygame.K_2]:
check(2)
number(2, start_x + 25, start_y + 25)
board[start_y / 50][start_x / 50] = 2
if keys[pygame.K_3]:
def test(size, rows, cols, expectedSol):
form = reduce_board(size, rows, cols)
testSol = solve(form)
for i in range(size * size):
assert(testSol[1][i] == expectedSol[i])
def test_parse1(self):
solve(parse("a", char("b")))
file_content = input_file.read()
file_lines = file_content.split('\n')
problem_grid = [[] for i in range(len(file_lines))]
sqrt_n = int(sqrt(len(file_lines)))
for j in range(len(file_lines)):
line_values = [(int(value) if value != '-' else None)
for value in file_lines[j].split(' ')]
for i in range(len(line_values)):
problem_grid[int(i / sqrt_n) +
int(j / sqrt_n) * sqrt_n].append(
line_values[i])
try:
solution, best_fitness = solve(
problem_grid,
population_size=args.population_size,
selection_rate=args.selection_rate,
max_generations_count=args.max_generations_count,
mutation_rate=args.mutation_rate)
output_str = "Best fitness value: " + str(
best_fitness) + '\n\n'
for a, b in same_column_indexes(solution, 0, 0, sqrt_n):
row = list(
get_cells_from_indexes(
solution, same_row_indexes(solution, a, b,
sqrt_n)))
output_str += " ".join([str(elem) for elem in row]) + '\n'
output_str = output_str
if args.output_file:
with open(args.output_file, "w") as output_file:
def test_parse2(self):
solve(parse("a", char("a")))
y_coords = np.linspace(-3, 3, 20)
var_vals = np.linspace(0.3, 2, 3)
params = np.linspace(0.01, 1, 10)
seed = 5
counter = 0
K = len(y_coords) * len(var_vals) * len(params)
for k in range(len(params)):
anim_files = [""] * len(y_coords) * len(var_vals)
for i in range(len(var_vals)):
for j in range(len(y_coords)):
Ns = [10, 10, 20]
points = np.array([(-2, 0), (2, 0), (0, y_coords[j])])
vars = np.array([var_vals[i]] * 3)
classes = np.array([1, 1, -1])
make_data(Ns, points, vars, classes, out="test", seed=seed)
anim_file = "{}{}.jpg".format(name, counter)
title = "Var={:0.3f}, param={}".format(var_vals[i], params[k])
solve("test.npz",
kern_type="rbf",
kern_param=params[k],
out=anim_file,
plot=False,
title=title)
anim_files[j] = anim_file
counter += 1
print("image {}/{}".format(counter, K))
# print("creating animation")
# create_anim(anim_files, out="anim_p{}.mp4".format(params[k]), duration=0.4)
def test_parse3(self):
solve(parse("a", or_(char("b"), char("a"))))
md.stressbalance.spcvy[pos]=0.
md.stressbalance.spcvz[pos]=0.
#Create MPCs to have periodic boundary conditions
posx=np.nonzero(md.mesh.x==0.)[0]
posx2=np.nonzero(md.mesh.x==np.max(md.mesh.x))[0]
posy=np.nonzero(logical_and.reduce_n(md.mesh.y==0.,md.mesh.x!=0.,md.mesh.x!=np.max(md.mesh.x)))[0] #Don't take the same nodes two times
posy2=np.nonzero(logical_and.reduce_n(md.mesh.y==np.max(md.mesh.y),md.mesh.x!=0.,md.mesh.x!=np.max(md.mesh.x)))[0]
md.stressbalance.vertex_pairing=np.vstack((np.hstack((posx.reshape(-1,1)+1,posx2.reshape(-1,1)+1)),np.hstack((posy.reshape(-1,1)+1,posy2.reshape(-1,1)+1))))
#Compute the stressbalance
md.cluster=generic('name',gethostname(),'np',8)
md.verbose=verbose('convergence',True)
md=solve(md,'Stressbalance')
md.stressbalance.reltol=np.nan
md.stressbalance.abstol=np.nan
md.stressbalance.vertex_pairing=np.empty((0,2))
#We need one grid on dirichlet: the 4 corners are set to zero
md.stressbalance.spcvx=np.nan*np.ones((md.mesh.numberofvertices))
md.stressbalance.spcvy=np.nan*np.ones((md.mesh.numberofvertices))
md.stressbalance.spcvz=np.nan*np.ones((md.mesh.numberofvertices))
pos=np.nonzero(logical_or.reduce_n(md.mesh.y==0.,md.mesh.x==0.,md.mesh.x==np.max(md.mesh.x),md.mesh.y==np.max(md.mesh.y))) #Don't take the same nodes two times
md.stressbalance.spcvx[pos]=md.results.StressbalanceSolution.Vx[pos]
md.stressbalance.spcvy[pos]=md.results.StressbalanceSolution.Vy[pos]
md=setflowequation(md,'FS','all')
md=solve(md,'Stressbalance')
#Plot the results and save them
vx=md.results.StressbalanceSolution.Vx
def test_parse4(self):
solve(parse("ab", and_(char("a"), char("b"))))
def test_begin(self):
solve(begin(prin(1), prin(2), prin(3)))
def test_parse5(self):
solve(parse("ab", begin(char("a"), prin(1), char("b"))))
def test_unify(self):
solve(unify(1, 1), bindings)
def test_parse6(self):
solve(parse("ab", begin(char("a"), integer(1), char("b"))))
md = triangle(model(), '../Exp/Square.exp', 150000.)
md = setmask(md, 'all', '')
md = parameterize(md, '../Par/SquareShelfConstrained.py')
md.cluster = generic('name', gethostname(), 'np', 1)
md.transient.requested_outputs = ['IceVolume', 'TotalSmb']
md.extrude(3, 1.)
md = setflowequation(md, 'HO', 'all')
md.verbose = verbose('solution', 1)
md.settings.recording_frequency = 5
# time steps and resolution
md.timestepping.final_time = 8
md = solve(md, 'Transient')
md2 = copy.deepcopy(md)
md = solve(md, 'Transient', 'restart', 1)
#Fields and tolerances to track changes
field_names = [
'Vx1', 'Vy1', 'Vel1', 'TotalSmb1', 'Bed1', 'Surface1', 'Thickness1',
'Volume1', 'Temperature1', 'Pressure1', 'Vx2', 'Vy2', 'Vel2', 'TotalSmb2',
'Bed2', 'Surface2', 'Thickness2', 'Volume2', 'Temperature2', 'Pressure2',
'Vx3', 'Vy3', 'Vel3', 'TotalSmb3', 'Bed3', 'Surface3', 'Thickness3',
'Volume3', 'Temperature3', 'Pressure3'
]
field_tolerances=[1e-13,1e-13,1e-13,1e-13,1e-13,1e-13,\
1e-13,1e-13,1e-13,1e-13,1e-13,1e-13,\
1e-13,1e-13,1e-13,1e-13,1e-13,1e-13,\
1e-13,1e-13,1e-13,1e-13,1e-13,1e-13,\
def test_succeed(self):
solve(succeed)
#Test Name: 79NorthBedSlop3d
import numpy as np
from model import *
from socket import gethostname
from triangle import *
from setmask import *
from parameterize import *
from setflowequation import *
from solve import *
md=triangle(model(),'../Exp/79North.exp',10000.)
md=setmask(md,'../Exp/79NorthShelf.exp','')
md=parameterize(md,'../Par/79North.py')
md.extrude(2,1.)
md=setflowequation(md,'SSA','all')
md.cluster=generic('name',gethostname(),'np',3)
md=solve(md,'BedSlope')
#Fields and tolerances to track changes
field_names =['BedSlopeX','BedSlopeY']
field_tolerances=[1e-13,1e-13]
field_values=[\
md.results.BedSlopeSolution.BedSlopeX,\
md.results.BedSlopeSolution.BedSlopeY,\
]
def test_fail(self):
solve(fail)
from display import display as display
from solve import *
board = [[7, 8, 0, 4, 0, 0, 1, 2, 0], [6, 0, 0, 0, 7, 5, 0, 0, 9],
[0, 0, 0, 6, 0, 1, 0, 7, 8], [0, 0, 7, 0, 4, 0, 2, 6, 0],
[0, 0, 1, 0, 5, 0, 9, 3, 0], [9, 0, 4, 0, 6, 0, 0, 0, 5],
[0, 7, 0, 3, 0, 0, 0, 1, 2], [1, 2, 0, 0, 0, 7, 4, 0, 0],
[0, 4, 9, 2, 0, 6, 0, 0,
7]] # 2-d array that represents the sudoku board
display(board)
if solve(board): # if the board is solvable
print("solved board:")
display(board)
else: # if the board is unsolvable
print("task failed sucessfully")
def test_and1(self):
solve(and_(succeed, succeed))
configs = configs.split('\n')
for config in configs:
if config == '':
#empty line
continue
config = config.split("\n")[0]
config_dict = readconfig(case,
config) #Also creates the 'instance' attribute
config_dict['folder'] = folder
print_config(config_dict)
#solve(num_solutions,problem_dict,smtdict,num_vars,num_rels,arity,existential,conjuncts,labelconstraint,counting,smt_path)
solve(config_dict, problem_dict, smtdict, smt_path)
end = time.time()
timestr = "The entire config file took " + str(end - start) + " seconds."
timefile = open(folder + 'configtime.txt', 'w')
timefile.write(timestr)
timefile.close()
# # print sys.argv
# num_vars = int(sys.argv[2])
# num_rels = int(sys.argv[3])
# arity = 2
# existential = sys.argv[4]
# conjuncts = sys.argv[5]
# labelconstraint = sys.argv[6]
# case = sys.argv[1]
def test_and2(self):
solve(and_(succeed, fail))
def assert_bad(size, rows, cols):
form = reduce_board(size, rows, cols)
testSol = solve(form)
assert(not testSol[0])
def test_not1(self):
solve(not_(fail))
md.hydrology = md.hydrology.initialize(md)
md.hydrology.isefficientlayer = 0
md.hydrology.sedimentlimit_flag = 1
md.hydrology.sedimentlimit = 8000.0
md.initialization.sediment_head = np.zeros((md.mesh.numberofvertices))
md.hydrology.spcsediment_head = np.nan * np.ones((md.mesh.numberofvertices))
md.hydrology.spcsediment_head[np.where(md.mesh.y == 0)] = 0.0
md.basalforcings.groundedice_melting_rate = 2.0 * np.ones(
(md.mesh.numberofvertices))
md.basalforcings.floatingice_melting_rate = 0.0 * np.ones(
(md.mesh.numberofvertices))
md.hydrology.sediment_transmitivity = 3.0 * np.ones((md.mesh.numberofvertices))
md.timestepping.time_step = 0
md.timestepping.final_time = 1.0
md.extrude(3, 1.)
md = solve(md, 'Hydrology')
#Fields and tolerances to track changes
#you can also compare with an analitic solution, but it is exact
#only if no limits are applied
#analitic=(md.mesh.y.^2-2*md.mesh.y*1.0e6)*(-2.0/(2*md.constants.yts*md.hydrology.sediment_transmitivity))
field_names = ['SedimentWaterHead', 'SedimentHeadResidual']
field_tolerances = [1e-13, 3e-10]
field_values = [
md.results.HydrologySolution.SedimentHead,
md.results.HydrologySolution.SedimentHeadResidual
]
def test_not2(self):
solve(not_(succeed))
#Test Name: 79NorthBalThic2d
import numpy as np
from model import *
from socket import gethostname
from triangle import *
from setmask import *
from parameterize import *
from setflowequation import *
from solve import *
md = triangle(model(), '../Exp/79North.exp', 10000.)
md = setmask(md, '../Exp/79NorthShelf.exp', '')
md = parameterize(md, '../Par/79North.py')
md = setflowequation(md, 'SSA', 'all')
md.cluster = generic('name', gethostname(), 'np', 3)
md = solve(md, 'Balancethickness')
#Fields and tolerances to track changes
field_names = ['Thickness']
field_tolerances = [1e-12]
field_values=[\
md.results.BalancethicknessSolution.Thickness,\
]
def test_or1(self):
solve(or_(fail, succeed))
#Test Name: PigTherSteaSUPG
import numpy as np
from model import *
from socket import gethostname
from triangle import *
from setmask import *
from parameterize import *
from setflowequation import *
from solve import *
md = triangle(model(), '../Exp/Pig.exp', 30000.)
md = setmask(md, '../Exp/PigShelves.exp', '../Exp/PigIslands.exp')
md = parameterize(md, '../Par/Pig.py')
md.extrude(3, 1.)
md = setflowequation(md, 'HO', 'all')
md.thermal.stabilization = 2
md.cluster = generic('name', gethostname(), 'np', 3)
md.timestepping.time_step = 0
md.thermal.penalty_threshold = 40
md = solve(md, 'Thermal')
#Fields and tolerances to track changes
field_names = ['Temperature', 'BasalforcingsGroundediceMeltingRate']
field_tolerances = [1e-11, 1e-11]
field_values=[\
md.results.ThermalSolution.Temperature,\
md.results.ThermalSolution.BasalforcingsGroundediceMeltingRate,\
]
def test_or2(self):
solve(or_(succeed, succeed))
#Test Name: 79NorthSurfSlop2d
import numpy as np
from model import *
from socket import gethostname
from triangle import *
from setmask import *
from parameterize import *
from setflowequation import *
from solve import *
md = triangle(model(), '../Exp/79North.exp', 10000.)
md = setmask(md, '../Exp/79NorthShelf.exp', '')
md = parameterize(md, '../Par/79North.py')
md = setflowequation(md, 'SSA', 'all')
md.cluster = generic('name', gethostname(), 'np', 3)
md = solve(md, 'SurfaceSlope')
#Fields and tolerances to track changes
field_names = ['SurfaceSlopeX', 'SurfaceSlopeY']
field_tolerances = [1e-13, 1e-13]
field_values=[\
md.results.SurfaceSlopeSolution.SurfaceSlopeX,\
md.results.SurfaceSlopeSolution.SurfaceSlopeY,\
]
def test_or3(self):
solve(or_(succeed, fail))
#Test Name: SquareShelfConstrainedMasstransp3dAdolcMumps
from model import *
from socket import gethostname
from triangle import *
from setmask import *
from parameterize import *
from setflowequation import *
from solve import *
md = triangle(model(), '../Exp/Square.exp', 150000.)
md = setmask(md, 'all', '')
md = parameterize(md, '../Par/SquareShelfConstrained.py')
md = setflowequation(md, 'SSA', 'all')
md.extrude(5, 3.)
md.cluster = generic('name', gethostname(), 'np', 3)
md.autodiff.isautodiff = True
md = solve(md, 'Masstransport')
#Fields and tolerances to track changes
field_names = ['Thickness']
field_tolerances = [1e-13]
field_values=[\
md.results.MasstransportSolution.Thickness,\
]
def test_or4(self):
solve(or_(prin(1), prin(2)))
md.timestepping.time_step = 1.
md.settings.output_frequency = 1
md.timestepping.final_time = 4.
#Set up transient
smb = np.ones((md.mesh.numberofvertices)) * 3.6
smb = np.vstack((smb, smb * -1.)).T
md.smb = SMBmeltcomponents()
md.smb.accumulation = np.vstack((smb, [1.5, 3.]))
md.smb.evaporation = np.vstack((smb / 2, [1.5, 3.]))
md.smb.melt = np.vstack((smb / 2, [1.5, 3.]))
md.smb.refreeze = np.vstack((smb, [1.5, 3.]))
md.transient.isthermal = False
md = solve(md, 'Transient')
#Fields and tolerances to track changes
field_names = [
'Vx1', 'Vy1', 'Vel1', 'Pressure1', 'Bed1', 'Surface1', 'Thickness1',
'SmbMassBalance1', 'Vx2', 'Vy2', 'Vel2', 'Pressure2', 'Bed2', 'Surface2',
'Thickness2', 'SmbMassBalance2', 'Vx3', 'Vy3', 'Vel3', 'Pressure3', 'Bed3',
'Surface3', 'Thickness3', 'SmbMassBalance3', 'Vx4', 'Vy4', 'Vel4',
'Pressure4', 'Bed4', 'Surface4', 'Thickness4', 'SmbMassBalance4'
]
field_tolerances = [
1e-09, 1e-09, 1e-09, 1e-10, 1e-10, 1e-10, 1e-10, 1e-10, 1e-09, 1e-09,
1e-09, 1e-10, 1e-10, 1e-10, 1e-10, 1e-10, 1e-09, 1e-09, 1e-09, 1e-10,
1e-10, 1e-10, 1e-10, 1e-10, 1e-09, 1e-09, 1e-09, 1e-10, 1e-10, 1e-10,
1e-10, 1e-10
]
# 2 . . 5 6 . . .
# '''
fp = StringIO.StringIO(board)
def readLine():
return fp.readline();
def readBoard():
l = int(readLine())
size = (l, l)
map = {}
y = 0
while (y<l):
line = readLine()
x = 0
i = 0
while (x<l):
if (line[i].isdigit()):
map[(x,y)] = boardPiece(int(line[i]));
x+=1
if (line[i] == "."):
map[(x,y)] = boardPiece(0);
x+=1
i+=1
y+=1
return (map, size)
b=readBoard()
solve(b)
