////////////////// Start of input data ////////////////// 





########### section 1 choice of differencing scheme ###########
scheme:                         m
scheme_turb:                    m


########### section 2 turbulence models ###########
cmu:                          0.09
kom:                          True
keps:                         False
EARSM:                        False
PINN:                         False
c_omega_1:                    0.556
c_omega_2:                    0.075
prand_k:                      2.0
prand_omega:                  2.0


########### section 3 restart/save ###########
restart:                      True
save:                         True


########### section 4 fluid properties ###########
viscos:                       9.52e-05


########### section 5 relaxation factors ###########
urfvis:                       0.2
urf_vel:                      0.2
urf_p:                        1.0
urf_k:                        0.2


########### section 6 number of iteration and convergence criterira ###########
sormax:                       1e-06
maxit:                        4000
solver_pp:                    lgmres
solver_vel:                   lgmres
solver_turb:                  lgmres
nsweep_vel:                   50
nsweep_pp:                    50
nsweep_turb:                  50
convergence_limit_u:          0.0001
convergence_limit_v:          0.0001
convergence_limit_pp:         5e-05
convergence_limit_k:          -0.0001
convergence_limit_om:         -0.0001


########### section 7 all variables are printed during the iteration at node ###########
imon:                         0
jmon:                         10


########### section 8 time-averaging ###########


########### section 9 residual scaling parameters ###########
resnorm_p:                    3.0
resnorm_vel:                  3.0


########### Section 10 grid and boundary conditions ###########
ni:                           196
nj:                           128
cyclic_x:                     True




------boundary conditions for u
     u_bc_west_type:               d
     u_bc_east_type:               n
     u_bc_west[0]:                 1.0
     u_bc_south_type:              d
     u_bc_north_type:              n
     u_bc_south[0]:                0.0
------boundary conditions for v
     v_bc_west_type:               d
     v_bc_east_type:               n
     v_bc_west[0]:                 0.0
     v_bc_south_type:              d
     v_bc_north_type:              d
     v_bc_south[0]:                0.0
     v_bc_north[0]:                0.0
------boundary conditions for k
     k_bc_west_type:               d
     k_bc_east_type:               n
     k_bc_west[0]:                 0.0
     k_bc_south_type:              d
     k_bc_north_type:              n
     k_bc_south[0]:                0.0
------boundary conditions for omega
     om_bc_west_type:              d
     om_bc_east_type:              n
     om_bc_west[0]:                0.0
     om_bc_south_type:             d
     om_bc_north_type:             n
     om_bc_south[0]:               2728.6



 ////////////////// End of input data //////////////////



hostname:  tfd117.am.chalmers.se
read_restart_data called
np.sum(convw[0,:]) 2.034349574880283
np.sum(convw[1,:]) 2.0343495762433177
np.sum(convw[-1,:]) 2.0343495619305534
np.sum(convw[-2,:]) 2.034349562190827
vist_kom called
muscle for phi scheme called
calcu called
solve_2d called
solver_local lgmres
nmax 50
solver in solve_2d: lgmres
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 1.40e-02
calcv called
muscle for phi scheme called
solve_2d called
solver_local lgmres
nmax 50
solver in solve_2d: lgmres
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.35e-03
np.sum(convw[0,:]) 2.034349574880283
np.sum(convw[1,:]) 2.034349576424909
np.sum(convw[-1,:]) 2.0343495619305534
np.sum(convw[-2,:]) 2.0343495624064074
calcp called
solve_2d called
solver_local lgmres
nmax 50
solver in solve_2d: lgmres
residual history in solve_2d: initial residual:  1.31e-09              final residual: 9.94e-11                    delta_phi: 2.45e-08
correct_u_v_p called
time pp: 5.02e-01
vist_kom called
muscle for phi scheme called
calck_kom called
fix_k called
solve_2d called
solver_local lgmres
nmax 50
solver in solve_2d: lgmres
residual history in solve_2d: initial residual:  2.08e-06              final residual: 1.81e-10                    delta_phi: 1.92e-07
time k: 1.74e-01
muscle for phi scheme called
calcom called
solve_2d called
solver_local lgmres
nmax 50
solver in solve_2d: lgmres
residual history in solve_2d: initial residual:  3.28e-05              final residual: 3.27e-09                    delta_phi: 6.75e-05
time omega: 1.97e-02

--iter:0, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.31e-10, k:2.25e-07, om:1.08e-05, eps:0.00e+00


monitor iteration:   0, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853462554076311

---iter:  0, umax: 1.13e+00, vismax: 3.90e+02, kmin: 8.08e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 7.20e-01
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.18e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.14e-03
np.sum(convw[0,:]) 2.0343495748449714
np.sum(convw[1,:]) 2.0343495763021333
np.sum(convw[-1,:]) 2.0343495618952407
np.sum(convw[-2,:]) 2.034349562263177
residual history in solve_2d: initial residual:  1.28e-09              final residual: 9.99e-11                    delta_phi: 5.65e-09
time pp: 1.83e-02
residual history in solve_2d: initial residual:  2.07e-06              final residual: 1.72e-10                    delta_phi: 1.53e-07
time k: 1.55e-02
residual history in solve_2d: initial residual:  2.86e-05              final residual: 2.60e-09                    delta_phi: 4.40e-05
time omega: 1.97e-02

--iter:1, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.21e-10, k:2.24e-07, om:9.42e-06, eps:0.00e+00


monitor iteration:   1, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785345677893978

---iter:  1, umax: 1.13e+00, vismax: 3.90e+02, kmin: 6.55e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 6.97e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.38e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.75e-03
np.sum(convw[0,:]) 2.034349574849786
np.sum(convw[1,:]) 2.0343495762729273
np.sum(convw[-1,:]) 2.0343495619000564
np.sum(convw[-2,:]) 2.034349562222297
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 3.97e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  2.06e-06              final residual: 1.70e-10                    delta_phi: 1.23e-07
time k: 1.21e-02
residual history in solve_2d: initial residual:  2.64e-05              final residual: 2.44e-09                    delta_phi: 2.73e-05
time omega: 1.52e-02

--iter:2, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.24e-07, om:8.71e-06, eps:0.00e+00


monitor iteration:   2, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853451004472811

---iter:  2, umax: 1.13e+00, vismax: 3.90e+02, kmin: 5.33e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.30e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.70e-03
np.sum(convw[0,:]) 2.034349574856198
np.sum(convw[1,:]) 2.0343495762622177
np.sum(convw[-1,:]) 2.0343495619064687
np.sum(convw[-2,:]) 2.034349562207817
residual history in solve_2d: initial residual:  1.31e-09              final residual: 9.96e-11                    delta_phi: 3.13e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.06e-06              final residual: 1.68e-10                    delta_phi: 9.80e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.54e-05              final residual: 2.25e-09                    delta_phi: 1.53e-05
time omega: 1.61e-02

--iter:3, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.23e-07, om:8.38e-06, eps:0.00e+00


monitor iteration:   3, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853445230873614

---iter:  3, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.35e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.74e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.73e-03
np.sum(convw[0,:]) 2.034349574861075
np.sum(convw[1,:]) 2.0343495762599884
np.sum(convw[-1,:]) 2.0343495619113456
np.sum(convw[-2,:]) 2.0343495622054153
residual history in solve_2d: initial residual:  1.31e-09              final residual: 9.98e-11                    delta_phi: 2.51e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 7.85e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.41e-09                    delta_phi: 6.73e-06
time omega: 1.58e-02

--iter:4, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.31e-10, k:2.23e-07, om:8.26e-06, eps:0.00e+00


monitor iteration:   4, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853439457736813

---iter:  4, umax: 1.13e+00, vismax: 3.90e+02, kmin: 3.56e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.38e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.42e-03
np.sum(convw[0,:]) 2.034349574864766
np.sum(convw[1,:]) 2.034349576263174
np.sum(convw[-1,:]) 2.034349561915037
np.sum(convw[-2,:]) 2.0343495622104735
residual history in solve_2d: initial residual:  1.31e-09              final residual: 1.00e-10                    delta_phi: 2.65e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 6.28e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.25e-09                    delta_phi: 6.52e-06
time omega: 1.51e-02

--iter:5, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.31e-10, k:2.23e-07, om:8.22e-06, eps:0.00e+00


monitor iteration:   5, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853433685454868

---iter:  5, umax: 1.13e+00, vismax: 3.90e+02, kmin: 2.93e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.11e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.19e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.33e-03
np.sum(convw[0,:]) 2.0343495748678815
np.sum(convw[1,:]) 2.034349576267129
np.sum(convw[-1,:]) 2.0343495619181526
np.sum(convw[-2,:]) 2.034349562216373
residual history in solve_2d: initial residual:  1.31e-09              final residual: 9.98e-11                    delta_phi: 3.35e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 5.89e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.21e-09                    delta_phi: 6.47e-06
time omega: 1.50e-02

--iter:6, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.31e-10, k:2.23e-07, om:8.23e-06, eps:0.00e+00


monitor iteration:   6, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078534279137768

---iter:  6, umax: 1.13e+00, vismax: 3.90e+02, kmin: 2.43e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.12e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.73e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.73e-03
np.sum(convw[0,:]) 2.0343495748704505
np.sum(convw[1,:]) 2.0343495762685646
np.sum(convw[-1,:]) 2.0343495619207204
np.sum(convw[-2,:]) 2.034349562218463
residual history in solve_2d: initial residual:  1.31e-09              final residual: 9.95e-11                    delta_phi: 4.13e-09
time pp: 1.00e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 5.89e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.14e-09                    delta_phi: 6.79e-06
time omega: 1.59e-02

--iter:7, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.25e-06, eps:0.00e+00


monitor iteration:   7, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853422142691283

---iter:  7, umax: 1.13e+00, vismax: 3.90e+02, kmin: 2.03e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.45e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.50e-03
np.sum(convw[0,:]) 2.0343495748724383
np.sum(convw[1,:]) 2.0343495762673403
np.sum(convw[-1,:]) 2.034349561922709
np.sum(convw[-2,:]) 2.034349562216667
residual history in solve_2d: initial residual:  1.31e-09              final residual: 1.00e-10                    delta_phi: 3.39e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.64e-10                    delta_phi: 5.89e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.38e-09                    delta_phi: 8.75e-06
time omega: 1.55e-02

--iter:8, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.26e-06, eps:0.00e+00


monitor iteration:   8, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853416372236821

---iter:  8, umax: 1.13e+00, vismax: 3.90e+02, kmin: 1.71e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.22e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.57e-03
np.sum(convw[0,:]) 2.0343495748742746
np.sum(convw[1,:]) 2.0343495762713077
np.sum(convw[-1,:]) 2.0343495619245453
np.sum(convw[-2,:]) 2.03434956222213
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.96e-11                    delta_phi: 4.20e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 2.01e-10                    delta_phi: 5.89e-08
time k: 1.09e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.35e-09                    delta_phi: 9.94e-06
time omega: 1.49e-02

--iter:9, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.27e-06, eps:0.00e+00


monitor iteration:   9, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853410602434809

---iter:  9, umax: 1.13e+00, vismax: 3.90e+02, kmin: 1.45e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.06e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.98e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.84e-03
np.sum(convw[0,:]) 2.0343495748755718
np.sum(convw[1,:]) 2.034349576270901
np.sum(convw[-1,:]) 2.0343495619258425
np.sum(convw[-2,:]) 2.0343495622216454
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.96e-11                    delta_phi: 4.32e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.66e-10                    delta_phi: 5.89e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.30e-09                    delta_phi: 1.05e-05
time omega: 1.54e-02

--iter:10, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.28e-06, eps:0.00e+00


monitor iteration:  10, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853404833213995

---iter: 10, umax: 1.13e+00, vismax: 3.90e+02, kmin: 1.24e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.12e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.46e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.94e-03
np.sum(convw[0,:]) 2.034349574876653
np.sum(convw[1,:]) 2.034349576270947
np.sum(convw[-1,:]) 2.0343495619269234
np.sum(convw[-2,:]) 2.034349562221661
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.14e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.64e-10                    delta_phi: 5.89e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.30e-09                    delta_phi: 1.07e-05
time omega: 1.53e-02

--iter:11, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.28e-06, eps:0.00e+00


monitor iteration:  11, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853399064431378

---iter: 11, umax: 1.13e+00, vismax: 3.90e+02, kmin: 1.08e-07, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.30e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.14e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.08e-03
np.sum(convw[0,:]) 2.0343495748778255
np.sum(convw[1,:]) 2.0343495762726445
np.sum(convw[-1,:]) 2.034349561928096
np.sum(convw[-2,:]) 2.034349562224015
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.13e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.64e-10                    delta_phi: 5.89e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.33e-09                    delta_phi: 1.05e-05
time omega: 1.52e-02

--iter:12, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.28e-06, eps:0.00e+00


monitor iteration:  12, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853393296320015

---iter: 12, umax: 1.13e+00, vismax: 3.90e+02, kmin: 9.44e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.81e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.42e-03
np.sum(convw[0,:]) 2.034349574878716
np.sum(convw[1,:]) 2.0343495762743045
np.sum(convw[-1,:]) 2.0343495619289866
np.sum(convw[-2,:]) 2.0343495622263497
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.95e-11                    delta_phi: 4.81e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 2.00e-10                    delta_phi: 5.89e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.29e-09                    delta_phi: 1.02e-05
time omega: 1.52e-02

--iter:13, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.27e-06, eps:0.00e+00


monitor iteration:  13, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853387528838535

---iter: 13, umax: 1.13e+00, vismax: 3.90e+02, kmin: 8.37e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.16e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.94e-03
np.sum(convw[0,:]) 2.034349574879257
np.sum(convw[1,:]) 2.0343495762727075
np.sum(convw[-1,:]) 2.0343495619295275
np.sum(convw[-2,:]) 2.0343495622241807
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.52e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 5.89e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.31e-09                    delta_phi: 9.61e-06
time omega: 1.55e-02

--iter:14, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.26e-06, eps:0.00e+00


monitor iteration:  14, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785338176160122

---iter: 14, umax: 1.13e+00, vismax: 3.90e+02, kmin: 7.52e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.47e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.56e-03
np.sum(convw[0,:]) 2.034349574879985
np.sum(convw[1,:]) 2.0343495762735566
np.sum(convw[-1,:]) 2.034349561930256
np.sum(convw[-2,:]) 2.034349562225338
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.39e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.97e-10                    delta_phi: 5.89e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  2.51e-05              final residual: 2.21e-09                    delta_phi: 8.98e-06
time omega: 1.49e-02

--iter:15, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.25e-06, eps:0.00e+00


monitor iteration:  15, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853375995165188

---iter: 15, umax: 1.13e+00, vismax: 3.90e+02, kmin: 6.84e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.19e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.22e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.28e-03
np.sum(convw[0,:]) 2.0343495748807783
np.sum(convw[1,:]) 2.0343495762750496
np.sum(convw[-1,:]) 2.0343495619310485
np.sum(convw[-2,:]) 2.034349562227418
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.96e-11                    delta_phi: 4.89e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 2.02e-10                    delta_phi: 5.89e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.18e-09                    delta_phi: 8.29e-06
time omega: 1.56e-02

--iter:16, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.30e-10, k:2.22e-07, om:8.25e-06, eps:0.00e+00


monitor iteration:  16, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853370229371405

---iter: 16, umax: 1.13e+00, vismax: 3.90e+02, kmin: 6.29e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.10e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.94e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.78e-03
np.sum(convw[0,:]) 2.0343495748810803
np.sum(convw[1,:]) 2.0343495762737884
np.sum(convw[-1,:]) 2.034349561931351
np.sum(convw[-2,:]) 2.034349562225753
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.65e-09
time pp: 1.18e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.64e-10                    delta_phi: 5.89e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.45e-09                    delta_phi: 7.57e-06
time omega: 1.57e-02

--iter:17, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.24e-06, eps:0.00e+00


monitor iteration:  17, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853364463874092

---iter: 17, umax: 1.13e+00, vismax: 3.90e+02, kmin: 5.85e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.39e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.35e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.24e-03
np.sum(convw[0,:]) 2.0343495748817224
np.sum(convw[1,:]) 2.03434957627456
np.sum(convw[-1,:]) 2.034349561931993
np.sum(convw[-2,:]) 2.034349562226789
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.50e-09
time pp: 1.19e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.63e-10                    delta_phi: 5.89e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.39e-09                    delta_phi: 6.86e-06
time omega: 1.51e-02

--iter:18, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.23e-06, eps:0.00e+00


monitor iteration:  18, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785335869892773

---iter: 18, umax: 1.13e+00, vismax: 3.90e+02, kmin: 5.50e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.54e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.10e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.85e-03
np.sum(convw[0,:]) 2.0343495748823037
np.sum(convw[1,:]) 2.034349576275856
np.sum(convw[-1,:]) 2.034349561932574
np.sum(convw[-2,:]) 2.034349562228633
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.96e-11                    delta_phi: 4.94e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 2.01e-10                    delta_phi: 5.89e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.29e-09                    delta_phi: 6.33e-06
time omega: 1.59e-02

--iter:19, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.22e-06, eps:0.00e+00


monitor iteration:  19, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853352934576131

---iter: 19, umax: 1.13e+00, vismax: 3.90e+02, kmin: 5.22e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.40e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.36e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.27e-03
np.sum(convw[0,:]) 2.0343495748825844
np.sum(convw[1,:]) 2.034349576274779
np.sum(convw[-1,:]) 2.0343495619328547
np.sum(convw[-2,:]) 2.034349562227192
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.58e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 2.04e-10                    delta_phi: 5.89e-08
time k: 1.25e-02
residual history in solve_2d: initial residual:  2.50e-05              final residual: 2.28e-09                    delta_phi: 6.33e-06
time omega: 1.60e-02

--iter:20, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.22e-06, eps:0.00e+00


monitor iteration:  20, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853347170748697

---iter: 20, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.99e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.47e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.13e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.21e-03
np.sum(convw[0,:]) 2.034349574883125
np.sum(convw[1,:]) 2.03434957627606
np.sum(convw[-1,:]) 2.034349561933395
np.sum(convw[-2,:]) 2.034349562228961
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.47e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 2.04e-10                    delta_phi: 5.89e-08
time k: 1.12e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.18e-09                    delta_phi: 6.33e-06
time omega: 1.46e-02

--iter:21, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.21e-06, eps:0.00e+00


monitor iteration:  21, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853341407858432

---iter: 21, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.81e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.85e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.09e-03
np.sum(convw[0,:]) 2.034349574883691
np.sum(convw[1,:]) 2.034349576277541
np.sum(convw[-1,:]) 2.0343495619339613
np.sum(convw[-2,:]) 2.03434956223104
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.98e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 2.02e-10                    delta_phi: 5.89e-08
time k: 1.14e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.16e-09                    delta_phi: 6.33e-06
time omega: 1.46e-02

--iter:22, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.21e-06, eps:0.00e+00


monitor iteration:  22, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853335645686538

---iter: 22, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.66e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.00e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.23e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.50e-03
np.sum(convw[0,:]) 2.034349574883811
np.sum(convw[1,:]) 2.0343495762761283
np.sum(convw[-1,:]) 2.0343495619340812
np.sum(convw[-2,:]) 2.0343495622291785
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.64e-09
time pp: 1.23e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.64e-10                    delta_phi: 5.89e-08
time k: 1.36e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.46e-09                    delta_phi: 6.33e-06
time omega: 1.57e-02

--iter:23, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.21e-06, eps:0.00e+00


monitor iteration:  23, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785332988294541

---iter: 23, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.54e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.51e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.35e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.99e-03
np.sum(convw[0,:]) 2.034349574884331
np.sum(convw[1,:]) 2.0343495762771737
np.sum(convw[-1,:]) 2.0343495619346017
np.sum(convw[-2,:]) 2.034349562230592
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.99e-09
time pp: 1.19e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 5.88e-08
time k: 1.43e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.40e-09                    delta_phi: 6.33e-06
time omega: 1.73e-02

--iter:24, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  24, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785332412070784

---iter: 24, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.45e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.97e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.46e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.25e-03
np.sum(convw[0,:]) 2.0343495748845513
np.sum(convw[1,:]) 2.0343495762761066
np.sum(convw[-1,:]) 2.034349561934821
np.sum(convw[-2,:]) 2.0343495622292074
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.61e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.64e-10                    delta_phi: 5.88e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.35e-09                    delta_phi: 6.33e-06
time omega: 1.55e-02

--iter:25, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  25, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853318359146118

---iter: 25, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.37e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.39e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.96e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.80e-03
np.sum(convw[0,:]) 2.034349574885031
np.sum(convw[1,:]) 2.0343495762774046
np.sum(convw[-1,:]) 2.034349561935301
np.sum(convw[-2,:]) 2.034349562230962
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.97e-09
time pp: 1.34e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.99e-10                    delta_phi: 5.88e-08
time k: 1.40e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.35e-09                    delta_phi: 6.33e-06
time omega: 1.61e-02

--iter:26, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  26, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785331259840314

---iter: 26, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.31e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 6.01e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.18e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.07e-03
np.sum(convw[0,:]) 2.0343495748852667
np.sum(convw[1,:]) 2.0343495762765182
np.sum(convw[-1,:]) 2.034349561935537
np.sum(convw[-2,:]) 2.034349562229816
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.62e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 5.88e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.28e-09                    delta_phi: 6.33e-06
time omega: 1.64e-02

--iter:27, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  27, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853306838096513

---iter: 27, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.26e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.77e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.56e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.07e-03
np.sum(convw[0,:]) 2.034349574885675
np.sum(convw[1,:]) 2.034349576277706
np.sum(convw[-1,:]) 2.0343495619359446
np.sum(convw[-2,:]) 2.0343495622314363
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.56e-09
time pp: 1.23e-02
residual history in solve_2d: initial residual:  2.05e-06              final residual: 1.65e-10                    delta_phi: 5.88e-08
time k: 1.35e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.28e-09                    delta_phi: 6.32e-06
time omega: 1.60e-02

--iter:28, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  28, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853301078202153

---iter: 28, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.22e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.84e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.04e-03
np.sum(convw[0,:]) 2.034349574886158
np.sum(convw[1,:]) 2.034349576278903
np.sum(convw[-1,:]) 2.034349561936428
np.sum(convw[-2,:]) 2.0343495622331265
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 5.03e-09
time pp: 1.27e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.88e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.25e-09                    delta_phi: 6.32e-06
time omega: 1.70e-02

--iter:29, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  29, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853295318940624

---iter: 29, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.19e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.95e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.33e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.14e-03
np.sum(convw[0,:]) 2.0343495748861833
np.sum(convw[1,:]) 2.0343495762774846
np.sum(convw[-1,:]) 2.034349561936453
np.sum(convw[-2,:]) 2.034349562231238
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.62e-09
time pp: 1.31e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.65e-10                    delta_phi: 5.88e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.22e-09                    delta_phi: 6.32e-06
time omega: 1.67e-02

--iter:30, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  30, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853289559958243

---iter: 30, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.17e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.75e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.10e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.94e-03
np.sum(convw[0,:]) 2.0343495748866913
np.sum(convw[1,:]) 2.0343495762788395
np.sum(convw[-1,:]) 2.0343495619369616
np.sum(convw[-2,:]) 2.034349562233062
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.24e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.03e-10                    delta_phi: 5.88e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.24e-09                    delta_phi: 6.32e-06
time omega: 1.65e-02

--iter:31, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.20e-06, eps:0.00e+00


monitor iteration:  31, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853283801886395

---iter: 31, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.15e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.83e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.95e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.54e-03
np.sum(convw[0,:]) 2.034349574886814
np.sum(convw[1,:]) 2.034349576277744
np.sum(convw[-1,:]) 2.0343495619370837
np.sum(convw[-2,:]) 2.034349562231636
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.65e-09
time pp: 1.25e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.03e-10                    delta_phi: 5.88e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.22e-09                    delta_phi: 6.32e-06
time omega: 1.64e-02

--iter:32, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  32, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853278044390814

---iter: 32, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.13e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.76e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.00e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.73e-03
np.sum(convw[0,:]) 2.034349574887244
np.sum(convw[1,:]) 2.0343495762789434
np.sum(convw[-1,:]) 2.034349561937514
np.sum(convw[-2,:]) 2.0343495622332455
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.23e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.02e-10                    delta_phi: 5.88e-08
time k: 1.35e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.21e-09                    delta_phi: 6.32e-06
time omega: 1.64e-02

--iter:33, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  33, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785327228745244

---iter: 33, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.12e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.69e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.22e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.40e-03
np.sum(convw[0,:]) 2.0343495748874103
np.sum(convw[1,:]) 2.034349576277923
np.sum(convw[-1,:]) 2.034349561937681
np.sum(convw[-2,:]) 2.0343495622319185
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.61e-09
time pp: 1.29e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.03e-10                    delta_phi: 5.88e-08
time k: 1.36e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.22e-09                    delta_phi: 6.32e-06
time omega: 1.67e-02

--iter:34, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  34, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853266531320631

---iter: 34, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.11e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.87e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.43e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.18e-03
np.sum(convw[0,:]) 2.034349574887817
np.sum(convw[1,:]) 2.0343495762793005
np.sum(convw[-1,:]) 2.034349561938087
np.sum(convw[-2,:]) 2.0343495622337886
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.02e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.00e-10                    delta_phi: 5.88e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.20e-09                    delta_phi: 6.32e-06
time omega: 1.56e-02

--iter:35, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  35, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853260775391493

---iter: 35, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.10e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.36e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.19e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.34e-03
np.sum(convw[0,:]) 2.034349574888
np.sum(convw[1,:]) 2.0343495762782693
np.sum(convw[-1,:]) 2.0343495619382703
np.sum(convw[-2,:]) 2.0343495622324426
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.66e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.88e-08
time k: 1.37e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.22e-09                    delta_phi: 6.32e-06
time omega: 1.60e-02

--iter:36, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  36, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853255019235676

---iter: 36, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.09e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.43e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.51e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.85e-03
np.sum(convw[0,:]) 2.034349574888339
np.sum(convw[1,:]) 2.034349576279334
np.sum(convw[-1,:]) 2.0343495619386087
np.sum(convw[-2,:]) 2.0343495622339045
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.03e-09
time pp: 1.29e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.88e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.24e-09                    delta_phi: 6.32e-06
time omega: 1.66e-02

--iter:37, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  37, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853249263644006

---iter: 37, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.08e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.76e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.17e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.98e-03
np.sum(convw[0,:]) 2.034349574888555
np.sum(convw[1,:]) 2.034349576278342
np.sum(convw[-1,:]) 2.034349561938825
np.sum(convw[-2,:]) 2.03434956223259
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.68e-09
time pp: 1.20e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.88e-08
time k: 1.33e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.24e-09                    delta_phi: 6.32e-06
time omega: 1.64e-02

--iter:38, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  38, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853243508776196

---iter: 38, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.08e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.76e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.11e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.21e-03
np.sum(convw[0,:]) 2.0343495748888527
np.sum(convw[1,:]) 2.0343495762793316
np.sum(convw[-1,:]) 2.034349561939123
np.sum(convw[-2,:]) 2.0343495622339605
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.61e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.88e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.21e-09                    delta_phi: 6.32e-06
time omega: 1.57e-02

--iter:39, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  39, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853237754516751

---iter: 39, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.08e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.59e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.54e-03
np.sum(convw[0,:]) 2.034349574889332
np.sum(convw[1,:]) 2.034349576280511
np.sum(convw[-1,:]) 2.034349561939602
np.sum(convw[-2,:]) 2.0343495622355947
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.06e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.92e-10                    delta_phi: 5.88e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.26e-09                    delta_phi: 6.32e-06
time omega: 1.57e-02

--iter:40, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  40, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853232001034752

---iter: 40, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.07e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.54e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.73e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.17e-03
np.sum(convw[0,:]) 2.0343495748892733
np.sum(convw[1,:]) 2.034349576279053
np.sum(convw[-1,:]) 2.0343495619395435
np.sum(convw[-2,:]) 2.034349562233673
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.67e-09
time pp: 1.20e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.88e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.26e-09                    delta_phi: 6.32e-06
time omega: 1.57e-02

--iter:41, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  41, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853226247566582

---iter: 41, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.07e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.43e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.53e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.84e-03
np.sum(convw[0,:]) 2.0343495748897635
np.sum(convw[1,:]) 2.0343495762802806
np.sum(convw[-1,:]) 2.034349561940034
np.sum(convw[-2,:]) 2.0343495622353
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.00e-09
time pp: 1.24e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.88e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.28e-09                    delta_phi: 6.32e-06
time omega: 1.57e-02

--iter:42, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  42, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853220494789177

---iter: 42, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.07e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.73e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.99e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.97e-03
np.sum(convw[0,:]) 2.0343495748898346
np.sum(convw[1,:]) 2.0343495762792827
np.sum(convw[-1,:]) 2.0343495619401044
np.sum(convw[-2,:]) 2.0343495622340297
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.65e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.65e-10                    delta_phi: 5.87e-08
time k: 1.40e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.30e-09                    delta_phi: 6.32e-06
time omega: 1.68e-02

--iter:43, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  43, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853214742520014

---iter: 43, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.07e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.78e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.91e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.66e-03
np.sum(convw[0,:]) 2.0343495748902667
np.sum(convw[1,:]) 2.034349576280554
np.sum(convw[-1,:]) 2.0343495619405365
np.sum(convw[-2,:]) 2.034349562235715
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.15e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.04e-10                    delta_phi: 5.87e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.31e-09                    delta_phi: 6.32e-06
time omega: 1.64e-02

--iter:44, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  44, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853208991031156

---iter: 44, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.07e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.67e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.56e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.73e-03
np.sum(convw[0,:]) 2.0343495748903653
np.sum(convw[1,:]) 2.0343495762795576
np.sum(convw[-1,:]) 2.034349561940635
np.sum(convw[-2,:]) 2.0343495622344365
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.62e-09
time pp: 1.25e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.66e-10                    delta_phi: 5.87e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.30e-09                    delta_phi: 6.32e-06
time omega: 1.51e-02

--iter:45, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  45, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853203239750689

---iter: 45, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.07e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.61e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.32e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 5.87e-03
np.sum(convw[0,:]) 2.0343495748907623
np.sum(convw[1,:]) 2.0343495762809107
np.sum(convw[-1,:]) 2.034349561941032
np.sum(convw[-2,:]) 2.0343495622362493
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.24e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.87e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.34e-09                    delta_phi: 6.32e-06
time omega: 1.58e-02

--iter:46, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  46, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785319748905235

---iter: 46, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.43e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.36e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.62e-03
np.sum(convw[0,:]) 2.034349574890891
np.sum(convw[1,:]) 2.0343495762799053
np.sum(convw[-1,:]) 2.034349561941161
np.sum(convw[-2,:]) 2.03434956223495
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.65e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.02e-10                    delta_phi: 5.87e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.33e-09                    delta_phi: 6.32e-06
time omega: 1.59e-02

--iter:47, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  47, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853191739078394

---iter: 47, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.65e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.20e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.71e-03
np.sum(convw[0,:]) 2.03434957489123
np.sum(convw[1,:]) 2.0343495762810444
np.sum(convw[-1,:]) 2.0343495619414997
np.sum(convw[-2,:]) 2.034349562236484
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.24e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.87e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.37e-09                    delta_phi: 6.32e-06
time omega: 1.61e-02

--iter:48, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  48, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853185989646284

---iter: 48, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.59e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.43e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.56e-03
np.sum(convw[0,:]) 2.034349574891401
np.sum(convw[1,:]) 2.0343495762801274
np.sum(convw[-1,:]) 2.0343495619416707
np.sum(convw[-2,:]) 2.0343495622352856
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.61e-09
time pp: 1.30e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.87e-08
time k: 1.38e-02
residual history in solve_2d: initial residual:  2.49e-05              final residual: 2.35e-09                    delta_phi: 6.32e-06
time omega: 1.64e-02

--iter:49, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.22e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  49, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785318024023948

---iter: 49, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.80e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.55e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.54e-03
np.sum(convw[0,:]) 2.0343495748917286
np.sum(convw[1,:]) 2.034349576281426
np.sum(convw[-1,:]) 2.0343495619419985
np.sum(convw[-2,:]) 2.0343495622370575
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.99e-09
time pp: 1.25e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.87e-08
time k: 1.41e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.37e-09                    delta_phi: 6.32e-06
time omega: 1.59e-02

--iter:50, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.21e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  50, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785317449178036

---iter: 50, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.74e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.31e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.43e-03
np.sum(convw[0,:]) 2.034349574891924
np.sum(convw[1,:]) 2.034349576280585
np.sum(convw[-1,:]) 2.034349561942194
np.sum(convw[-2,:]) 2.03434956223595
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.58e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.87e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.38e-09                    delta_phi: 6.32e-06
time omega: 1.59e-02

--iter:51, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.29e-10, k:2.21e-07, om:8.19e-06, eps:0.00e+00


monitor iteration:  51, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078531687434323

---iter: 51, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.53e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.50e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.98e-03
np.sum(convw[0,:]) 2.034349574892234
np.sum(convw[1,:]) 2.0343495762820036
np.sum(convw[-1,:]) 2.034349561942504
np.sum(convw[-2,:]) 2.0343495622378978
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.00e-09
time pp: 1.23e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.62e-10                    delta_phi: 5.87e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.39e-09                    delta_phi: 6.32e-06
time omega: 1.61e-02

--iter:52, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  52, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078531629959831

---iter: 52, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.73e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.39e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.09e-03
np.sum(convw[0,:]) 2.0343495748924285
np.sum(convw[1,:]) 2.0343495762810853
np.sum(convw[-1,:]) 2.0343495619426983
np.sum(convw[-2,:]) 2.0343495622366694
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.63e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.04e-10                    delta_phi: 5.87e-08
time k: 1.13e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.39e-09                    delta_phi: 6.32e-06
time omega: 1.46e-02

--iter:53, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  53, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853157249254085

---iter: 53, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.00e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.01e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.54e-03
np.sum(convw[0,:]) 2.034349574892689
np.sum(convw[1,:]) 2.0343495762822252
np.sum(convw[-1,:]) 2.034349561942959
np.sum(convw[-2,:]) 2.034349562238246
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.00e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.65e-10                    delta_phi: 5.87e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.40e-09                    delta_phi: 6.32e-06
time omega: 1.46e-02

--iter:54, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  54, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853151502448648

---iter: 54, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.60e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.01e-03
np.sum(convw[0,:]) 2.0343495748929223
np.sum(convw[1,:]) 2.0343495762813895
np.sum(convw[-1,:]) 2.0343495619431917
np.sum(convw[-2,:]) 2.034349562237112
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.60e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.87e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.40e-09                    delta_phi: 6.32e-06
time omega: 1.46e-02

--iter:55, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  55, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853145756357312

---iter: 55, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.13e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.62e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.96e-03
np.sum(convw[0,:]) 2.034349574893181
np.sum(convw[1,:]) 2.0343495762826516
np.sum(convw[-1,:]) 2.0343495619434506
np.sum(convw[-2,:]) 2.0343495622388703
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.87e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.42e-09                    delta_phi: 6.32e-06
time omega: 1.46e-02

--iter:56, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  56, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853140010881186

---iter: 56, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.71e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.58e-03
np.sum(convw[0,:]) 2.0343495748934126
np.sum(convw[1,:]) 2.0343495762817723
np.sum(convw[-1,:]) 2.0343495619436824
np.sum(convw[-2,:]) 2.034349562237665
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.64e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.87e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.42e-09                    delta_phi: 6.32e-06
time omega: 1.49e-02

--iter:57, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  57, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078531342656871

---iter: 57, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.15e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.86e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.97e-03
np.sum(convw[0,:]) 2.034349574893633
np.sum(convw[1,:]) 2.0343495762828128
np.sum(convw[-1,:]) 2.0343495619439027
np.sum(convw[-2,:]) 2.034349562239128
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.02e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.00e-10                    delta_phi: 5.87e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.43e-09                    delta_phi: 6.32e-06
time omega: 1.46e-02

--iter:58, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  58, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785312852134414

---iter: 58, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.05e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.73e-03
np.sum(convw[0,:]) 2.034349574893881
np.sum(convw[1,:]) 2.0343495762819477
np.sum(convw[-1,:]) 2.034349561944151
np.sum(convw[-2,:]) 2.0343495622379226
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.62e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.04e-10                    delta_phi: 5.87e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.44e-09                    delta_phi: 6.32e-06
time omega: 1.46e-02

--iter:59, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  59, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853122777637436

---iter: 59, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.14e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.08e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.25e-03
np.sum(convw[0,:]) 2.034349574894101
np.sum(convw[1,:]) 2.0343495762830806
np.sum(convw[-1,:]) 2.0343495619443708
np.sum(convw[-2,:]) 2.034349562239523
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.02e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.87e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.45e-09                    delta_phi: 6.32e-06
time omega: 1.47e-02

--iter:60, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  60, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853117034051324

---iter: 60, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.04e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.55e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.06e-03
np.sum(convw[0,:]) 2.0343495748943523
np.sum(convw[1,:]) 2.0343495762821933
np.sum(convw[-1,:]) 2.0343495619446226
np.sum(convw[-2,:]) 2.034349562238286
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.63e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.87e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.45e-09                    delta_phi: 6.32e-06
time omega: 1.44e-02

--iter:61, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  61, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853111291065801

---iter: 61, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.14e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.95e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.56e-03
np.sum(convw[0,:]) 2.0343495748945593
np.sum(convw[1,:]) 2.0343495762832755
np.sum(convw[-1,:]) 2.034349561944829
np.sum(convw[-2,:]) 2.0343495622398287
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.00e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.03e-10                    delta_phi: 5.86e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.46e-09                    delta_phi: 6.32e-06
time omega: 1.46e-02

--iter:62, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  62, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853105548784568

---iter: 62, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.13e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.26e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.17e-03
np.sum(convw[0,:]) 2.0343495748948315
np.sum(convw[1,:]) 2.0343495762825046
np.sum(convw[-1,:]) 2.0343495619451013
np.sum(convw[-2,:]) 2.0343495622387398
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.64e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.04e-10                    delta_phi: 5.86e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.45e-09                    delta_phi: 6.32e-06
time omega: 1.45e-02

--iter:63, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  63, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785309980714688

---iter: 63, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.03e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.57e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.0343495748950176
np.sum(convw[1,:]) 2.0343495762835238
np.sum(convw[-1,:]) 2.034349561945287
np.sum(convw[-2,:]) 2.0343495622402044
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.04e-10                    delta_phi: 5.86e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.32e-06
time omega: 1.48e-02

--iter:64, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  64, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853094066248052

---iter: 64, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.19e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.86e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.10e-03
np.sum(convw[0,:]) 2.034349574895286
np.sum(convw[1,:]) 2.0343495762827226
np.sum(convw[-1,:]) 2.0343495619455556
np.sum(convw[-2,:]) 2.034349562239069
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.57e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.03e-10                    delta_phi: 5.86e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.45e-09                    delta_phi: 6.32e-06
time omega: 1.43e-02

--iter:65, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  65, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078530883259725

---iter: 65, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.03e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.36e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.72e-03
np.sum(convw[0,:]) 2.0343495748955034
np.sum(convw[1,:]) 2.0343495762840647
np.sum(convw[-1,:]) 2.0343495619457737
np.sum(convw[-2,:]) 2.034349562240985
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.97e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.86e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.32e-06
time omega: 1.54e-02

--iter:66, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  66, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853082585249978

---iter: 66, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.22e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.53e-03
np.sum(convw[0,:]) 2.034349574895777
np.sum(convw[1,:]) 2.0343495762833568
np.sum(convw[-1,:]) 2.0343495619460468
np.sum(convw[-2,:]) 2.034349562239984
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.64e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.86e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.45e-09                    delta_phi: 6.32e-06
time omega: 1.47e-02

--iter:67, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  67, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853076844981315

---iter: 67, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.03e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.16e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.0343495748959404
np.sum(convw[1,:]) 2.034349576284292
np.sum(convw[-1,:]) 2.03434956194621
np.sum(convw[-2,:]) 2.0343495622413448
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.97e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.86e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.32e-06
time omega: 1.54e-02

--iter:68, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  68, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853071105412529

---iter: 68, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.32e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.15e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.34e-03
np.sum(convw[0,:]) 2.0343495748962255
np.sum(convw[1,:]) 2.034349576283712
np.sum(convw[-1,:]) 2.0343495619464953
np.sum(convw[-2,:]) 2.0343495622404975
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.99e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.62e-10                    delta_phi: 5.86e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.32e-06
time omega: 1.54e-02

--iter:69, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  69, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853065366557441

---iter: 69, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.11e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.65e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.77e-03
np.sum(convw[0,:]) 2.034349574896175
np.sum(convw[1,:]) 2.0343495762829633
np.sum(convw[-1,:]) 2.0343495619464447
np.sum(convw[-2,:]) 2.0343495622395498
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.50e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.04e-10                    delta_phi: 5.86e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.48e-09                    delta_phi: 6.31e-06
time omega: 1.53e-02

--iter:70, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  70, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853059628334162

---iter: 70, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.68e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.51e-03
np.sum(convw[0,:]) 2.03434957489679
np.sum(convw[1,:]) 2.034349576285123
np.sum(convw[-1,:]) 2.0343495619470593
np.sum(convw[-2,:]) 2.0343495622424066
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.89e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.00e-10                    delta_phi: 5.86e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.46e-09                    delta_phi: 6.31e-06
time omega: 1.47e-02

--iter:71, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  71, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785305389066405

---iter: 71, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.11e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.06e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.70e-03
np.sum(convw[0,:]) 2.034349574896724
np.sum(convw[1,:]) 2.0343495762844026
np.sum(convw[-1,:]) 2.0343495619469936
np.sum(convw[-2,:]) 2.0343495622415615
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.62e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.86e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.09e-09                    delta_phi: 6.31e-06
time omega: 1.50e-02

--iter:72, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  72, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853048153151694

---iter: 72, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.65e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.44e-03
np.sum(convw[0,:]) 2.034349574897152
np.sum(convw[1,:]) 2.0343495762857167
np.sum(convw[-1,:]) 2.034349561947421
np.sum(convw[-2,:]) 2.034349562243264
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.88e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.86e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.42e-09                    delta_phi: 6.31e-06
time omega: 1.53e-02

--iter:73, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.18e-06, eps:0.00e+00


monitor iteration:  73, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853042416405243

---iter: 73, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.90e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.26e-03
np.sum(convw[0,:]) 2.0343495748971816
np.sum(convw[1,:]) 2.034349576285182
np.sum(convw[-1,:]) 2.034349561947451
np.sum(convw[-2,:]) 2.034349562242639
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.87e-09
time pp: 1.18e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.99e-10                    delta_phi: 5.86e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.46e-09                    delta_phi: 6.31e-06
time omega: 1.46e-02

--iter:74, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  74, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853036680294538

---iter: 74, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.19e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.34e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 5.98e-03
np.sum(convw[0,:]) 2.03434957489739
np.sum(convw[1,:]) 2.0343495762851984
np.sum(convw[-1,:]) 2.034349561947659
np.sum(convw[-2,:]) 2.0343495622425767
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.81e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.86e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.08e-09                    delta_phi: 6.31e-06
time omega: 1.49e-02

--iter:75, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  75, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853030944347662

---iter: 75, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.78e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.07e-03
np.sum(convw[0,:]) 2.0343495748975515
np.sum(convw[1,:]) 2.0343495762854196
np.sum(convw[-1,:]) 2.0343495619478205
np.sum(convw[-2,:]) 2.034349562242929
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.79e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.86e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.31e-06
time omega: 1.48e-02

--iter:76, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.28e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  76, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853025209052891

---iter: 76, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.22e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.31e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.19e-03
np.sum(convw[0,:]) 2.0343495748977647
np.sum(convw[1,:]) 2.0343495762857855
np.sum(convw[-1,:]) 2.034349561948034
np.sum(convw[-2,:]) 2.0343495622433845
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.76e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.65e-10                    delta_phi: 5.86e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.31e-06
time omega: 1.53e-02

--iter:77, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  77, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853019474020015

---iter: 77, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.34e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.15e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.21e-03
np.sum(convw[0,:]) 2.0343495748979263
np.sum(convw[1,:]) 2.0343495762861754
np.sum(convw[-1,:]) 2.0343495619481953
np.sum(convw[-2,:]) 2.0343495622439502
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.75e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 2.02e-10                    delta_phi: 5.86e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.31e-06
time omega: 1.46e-02

--iter:78, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  78, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853013739949671

---iter: 78, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.42e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.07e-03
np.sum(convw[0,:]) 2.0343495748981315
np.sum(convw[1,:]) 2.034349576286641
np.sum(convw[-1,:]) 2.034349561948401
np.sum(convw[-2,:]) 2.034349562244561
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.70e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.86e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.08e-09                    delta_phi: 6.31e-06
time omega: 1.55e-02

--iter:79, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  79, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853008006102631

---iter: 79, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.91e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.85e-03
np.sum(convw[0,:]) 2.0343495748983313
np.sum(convw[1,:]) 2.034349576287242
np.sum(convw[-1,:]) 2.0343495619486003
np.sum(convw[-2,:]) 2.0343495622454135
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.76e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.86e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.31e-06
time omega: 1.53e-02

--iter:80, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  80, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07853002272700693

---iter: 80, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.38e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.24e-03
np.sum(convw[0,:]) 2.034349574898522
np.sum(convw[1,:]) 2.0343495762875428
np.sum(convw[-1,:]) 2.0343495619487912
np.sum(convw[-2,:]) 2.034349562245814
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.17e-09
time pp: 1.15e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.64e-10                    delta_phi: 5.85e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.09e-09                    delta_phi: 6.31e-06
time omega: 1.47e-02

--iter:81, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  81, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852996539897851

---iter: 81, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.21e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.20e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.75e-03
np.sum(convw[0,:]) 2.0343495748983833
np.sum(convw[1,:]) 2.0343495762859805
np.sum(convw[-1,:]) 2.0343495619486527
np.sum(convw[-2,:]) 2.034349562243656
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.62e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.99e-10                    delta_phi: 5.85e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.31e-06
time omega: 1.51e-02

--iter:82, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  82, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785299080784825

---iter: 82, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.32e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.93e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.10e-03
np.sum(convw[0,:]) 2.0343495748987586
np.sum(convw[1,:]) 2.03434957628746
np.sum(convw[-1,:]) 2.034349561949028
np.sum(convw[-2,:]) 2.0343495622456604
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.85e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.13e-09                    delta_phi: 6.31e-06
time omega: 1.52e-02

--iter:83, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  83, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852985075938283

---iter: 83, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.35e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.21e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.03e-03
np.sum(convw[0,:]) 2.03434957489904
np.sum(convw[1,:]) 2.03434957628815
np.sum(convw[-1,:]) 2.0343495619493095
np.sum(convw[-2,:]) 2.0343495622466445
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.12e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.04e-06              final residual: 1.63e-10                    delta_phi: 5.85e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.31e-06
time omega: 1.56e-02

--iter:84, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  84, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785297934471194

---iter: 84, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.63e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.75e-03
np.sum(convw[0,:]) 2.034349574898942
np.sum(convw[1,:]) 2.0343495762866737
np.sum(convw[-1,:]) 2.0343495619492113
np.sum(convw[-2,:]) 2.0343495622446044
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.57e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.64e-10                    delta_phi: 5.85e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.11e-09                    delta_phi: 6.31e-06
time omega: 1.49e-02

--iter:85, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  85, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852973613806508

---iter: 85, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.22e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.57e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 1.03e-02
np.sum(convw[0,:]) 2.034349574899367
np.sum(convw[1,:]) 2.034349576288276
np.sum(convw[-1,:]) 2.034349561949636
np.sum(convw[-2,:]) 2.034349562246792
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.69e-09
time pp: 1.20e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.02e-10                    delta_phi: 5.85e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.14e-09                    delta_phi: 6.31e-06
time omega: 1.59e-02

--iter:86, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  86, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852967883844324

---iter: 86, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.83e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.02e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.46e-03
np.sum(convw[0,:]) 2.034349574899644
np.sum(convw[1,:]) 2.03434957628874
np.sum(convw[-1,:]) 2.0343495619499135
np.sum(convw[-2,:]) 2.034349562247464
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.17e-09
time pp: 1.20e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.03e-10                    delta_phi: 5.85e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.46e-09                    delta_phi: 6.31e-06
time omega: 1.53e-02

--iter:87, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  87, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852962154498347

---iter: 87, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.31e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.11e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 5.63e-03
np.sum(convw[0,:]) 2.034349574899526
np.sum(convw[1,:]) 2.0343495762870383
np.sum(convw[-1,:]) 2.034349561949795
np.sum(convw[-2,:]) 2.0343495622451053
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.56e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.01e-10                    delta_phi: 5.85e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.11e-09                    delta_phi: 6.31e-06
time omega: 1.57e-02

--iter:88, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  88, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852956425600065

---iter: 88, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.08e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.50e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.034349574899982
np.sum(convw[1,:]) 2.034349576288741
np.sum(convw[-1,:]) 2.0343495619502514
np.sum(convw[-2,:]) 2.0343495622474292
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 5.03e-09
time pp: 1.18e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.00e-10                    delta_phi: 5.85e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.12e-09                    delta_phi: 6.31e-06
time omega: 1.49e-02

--iter:89, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  89, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852950697378332

---iter: 89, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.16e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.0343495749000127
np.sum(convw[1,:]) 2.0343495762876542
np.sum(convw[-1,:]) 2.0343495619502816
np.sum(convw[-2,:]) 2.0343495622459637
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.60e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.02e-10                    delta_phi: 5.85e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.11e-09                    delta_phi: 6.31e-06
time omega: 1.47e-02

--iter:90, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  90, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852944969610023

---iter: 90, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.09e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.79e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.13e-03
np.sum(convw[0,:]) 2.034349574900393
np.sum(convw[1,:]) 2.0343495762889985
np.sum(convw[-1,:]) 2.0343495619506617
np.sum(convw[-2,:]) 2.034349562247809
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.85e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.12e-09                    delta_phi: 6.31e-06
time omega: 1.48e-02

--iter:91, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  91, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852939241603604

---iter: 91, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.07e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.36e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.01e-03
np.sum(convw[0,:]) 2.0343495749007245
np.sum(convw[1,:]) 2.0343495762895616
np.sum(convw[-1,:]) 2.034349561950994
np.sum(convw[-2,:]) 2.0343495622486136
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.12e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.85e-08
time k: 1.25e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.11e-09                    delta_phi: 6.31e-06
time omega: 1.51e-02

--iter:92, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  92, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785293351412448

---iter: 92, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.76e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.47e-03
np.sum(convw[0,:]) 2.0343495749006366
np.sum(convw[1,:]) 2.0343495762880215
np.sum(convw[-1,:]) 2.0343495619509055
np.sum(convw[-2,:]) 2.0343495622464975
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 4.99e-09
time pp: 1.21e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.85e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.44e-09                    delta_phi: 6.31e-06
time omega: 1.45e-02

--iter:93, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  93, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852927787237103

---iter: 93, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.14e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.79e-03
np.sum(convw[0,:]) 2.034349574900815
np.sum(convw[1,:]) 2.034349576287702
np.sum(convw[-1,:]) 2.034349561951084
np.sum(convw[-2,:]) 2.034349562246021
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.55e-09
time pp: 1.15e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.85e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.13e-09                    delta_phi: 6.31e-06
time omega: 1.49e-02

--iter:94, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  94, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852922061002261

---iter: 94, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.30e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.96e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.48e-03
np.sum(convw[0,:]) 2.0343495749012375
np.sum(convw[1,:]) 2.034349576289313
np.sum(convw[-1,:]) 2.0343495619515064
np.sum(convw[-2,:]) 2.034349562248243
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 4.94e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.85e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.11e-09                    delta_phi: 6.31e-06
time omega: 1.46e-02

--iter:95, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.17e-06, eps:0.00e+00


monitor iteration:  95, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852916335338046

---iter: 95, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.10e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.88e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.04e-03
np.sum(convw[0,:]) 2.034349574901319
np.sum(convw[1,:]) 2.0343495762886294
np.sum(convw[-1,:]) 2.034349561951588
np.sum(convw[-2,:]) 2.034349562247325
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.99e-11                    delta_phi: 4.63e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.98e-10                    delta_phi: 5.85e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.09e-09                    delta_phi: 6.31e-06
time omega: 1.54e-02

--iter:96, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.16e-06, eps:0.00e+00


monitor iteration:  96, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852910610309256

---iter: 96, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.30e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.00e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.37e-03
np.sum(convw[0,:]) 2.0343495749016554
np.sum(convw[1,:]) 2.0343495762897237
np.sum(convw[-1,:]) 2.0343495619519243
np.sum(convw[-2,:]) 2.0343495622488286
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.68e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.85e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.12e-09                    delta_phi: 6.31e-06
time omega: 1.49e-02

--iter:97, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.16e-06, eps:0.00e+00


monitor iteration:  97, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785290488557377

---iter: 97, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.21e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.08e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.32e-03
np.sum(convw[0,:]) 2.034349574901969
np.sum(convw[1,:]) 2.0343495762902553
np.sum(convw[-1,:]) 2.034349561952238
np.sum(convw[-2,:]) 2.0343495622495795
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.71e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.02e-10                    delta_phi: 5.85e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.09e-09                    delta_phi: 6.31e-06
time omega: 1.55e-02

--iter:98, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.16e-06, eps:0.00e+00


monitor iteration:  98, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785289916178077

---iter: 98, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.21e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.02e-03
np.sum(convw[0,:]) 2.0343495749021945
np.sum(convw[1,:]) 2.034349576290616
np.sum(convw[-1,:]) 2.0343495619524634
np.sum(convw[-2,:]) 2.034349562250094
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.15e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.85e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.14e-09                    delta_phi: 6.31e-06
time omega: 1.49e-02

--iter:99, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.16e-06, eps:0.00e+00


monitor iteration:  99, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852893437924968

---iter: 99, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.22e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.31e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.10e-03
np.sum(convw[0,:]) 2.0343495749021447
np.sum(convw[1,:]) 2.0343495762890296
np.sum(convw[-1,:]) 2.0343495619524132
np.sum(convw[-2,:]) 2.034349562247879
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.60e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.03e-10                    delta_phi: 5.84e-08
time k: 1.14e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.11e-09                    delta_phi: 6.31e-06
time omega: 1.48e-02

--iter:100, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.21e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 100, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852887715044152

---iter: 100, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.11e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.68e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.37e-03
np.sum(convw[0,:]) 2.034349574902529
np.sum(convw[1,:]) 2.0343495762904755
np.sum(convw[-1,:]) 2.034349561952798
np.sum(convw[-2,:]) 2.0343495622498615
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.71e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.84e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.12e-09                    delta_phi: 6.31e-06
time omega: 1.48e-02

--iter:101, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 101, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852881992419417

---iter: 101, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.20e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.24e-03
np.sum(convw[0,:]) 2.03434957490283
np.sum(convw[1,:]) 2.0343495762909
np.sum(convw[-1,:]) 2.0343495619531
np.sum(convw[-2,:]) 2.0343495622504615
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.17e-09
time pp: 1.15e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.03e-10                    delta_phi: 5.84e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.31e-06
time omega: 1.45e-02

--iter:102, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 102, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852876270515788

---iter: 102, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.22e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.59e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 5.96e-03
np.sum(convw[0,:]) 2.034349574902702
np.sum(convw[1,:]) 2.034349576289216
np.sum(convw[-1,:]) 2.034349561952971
np.sum(convw[-2,:]) 2.034349562248138
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.53e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.01e-10                    delta_phi: 5.84e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.31e-06
time omega: 1.54e-02

--iter:103, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 103, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852870549280454

---iter: 103, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.19e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.20e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.07e-03
np.sum(convw[0,:]) 2.0343495749031963
np.sum(convw[1,:]) 2.034349576291098
np.sum(convw[-1,:]) 2.034349561953465
np.sum(convw[-2,:]) 2.0343495622506986
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.18e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.01e-10                    delta_phi: 5.84e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.31e-06
time omega: 1.64e-02

--iter:104, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 104, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785286482897966

---iter: 104, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.51e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.93e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.07e-03
np.sum(convw[0,:]) 2.0343495749034797
np.sum(convw[1,:]) 2.034349576291558
np.sum(convw[-1,:]) 2.0343495619537486
np.sum(convw[-2,:]) 2.034349562251388
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.19e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.02e-10                    delta_phi: 5.84e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.45e-09                    delta_phi: 6.31e-06
time omega: 1.48e-02

--iter:105, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 105, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852859108866138

---iter: 105, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.11e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.69e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.82e-03
np.sum(convw[0,:]) 2.034349574903364
np.sum(convw[1,:]) 2.034349576289737
np.sum(convw[-1,:]) 2.0343495619536336
np.sum(convw[-2,:]) 2.0343495622488597
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.55e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.84e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.14e-09                    delta_phi: 6.31e-06
time omega: 1.53e-02

--iter:106, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 106, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852853388348366

---iter: 106, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.88e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.24e-03
np.sum(convw[0,:]) 2.0343495749038336
np.sum(convw[1,:]) 2.0343495762914765
np.sum(convw[-1,:]) 2.0343495619541025
np.sum(convw[-2,:]) 2.0343495622512457
residual history in solve_2d: initial residual:  1.30e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.15e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.84e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.31e-06
time omega: 1.51e-02

--iter:107, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 107, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852847668401249

---iter: 107, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.27e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.07e-03
np.sum(convw[0,:]) 2.0343495749041485
np.sum(convw[1,:]) 2.0343495762920174
np.sum(convw[-1,:]) 2.034349561954418
np.sum(convw[-2,:]) 2.034349562252028
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.97e-11                    delta_phi: 5.13e-09
time pp: 1.29e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.84e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.14e-09                    delta_phi: 6.31e-06
time omega: 1.52e-02

--iter:108, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 108, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852841949162945

---iter: 108, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.52e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.79e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.47e-03
np.sum(convw[0,:]) 2.0343495749040685
np.sum(convw[1,:]) 2.0343495762904613
np.sum(convw[-1,:]) 2.0343495619543375
np.sum(convw[-2,:]) 2.0343495622498766
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.59e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.98e-10                    delta_phi: 5.84e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.31e-06
time omega: 1.47e-02

--iter:109, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 109, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852836230714945

---iter: 109, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.19e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.00e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.93e-03
np.sum(convw[0,:]) 2.034349574904507
np.sum(convw[1,:]) 2.03434957629198
np.sum(convw[-1,:]) 2.034349561954776
np.sum(convw[-2,:]) 2.0343495622519407
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.84e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.30e-06
time omega: 1.53e-02

--iter:110, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 110, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852830512703567

---iter: 110, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.46e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.00e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.32e-03
np.sum(convw[0,:]) 2.0343495749048017
np.sum(convw[1,:]) 2.034349576292521
np.sum(convw[-1,:]) 2.0343495619550707
np.sum(convw[-2,:]) 2.0343495622527183
residual history in solve_2d: initial residual:  1.30e-09              final residual: 9.98e-11                    delta_phi: 5.10e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.84e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.13e-09                    delta_phi: 6.30e-06
time omega: 1.60e-02

--iter:111, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 111, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852824795140866

---iter: 111, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.49e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.36e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.34e-03
np.sum(convw[0,:]) 2.0343495749047458
np.sum(convw[1,:]) 2.034349576291082
np.sum(convw[-1,:]) 2.0343495619550143
np.sum(convw[-2,:]) 2.0343495622507204
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.59e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.99e-10                    delta_phi: 5.84e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.12e-09                    delta_phi: 6.30e-06
time omega: 1.55e-02

--iter:112, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 112, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852819078329913

---iter: 112, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.35e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.86e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.27e-03
np.sum(convw[0,:]) 2.034349574905164
np.sum(convw[1,:]) 2.0343495762925565
np.sum(convw[-1,:]) 2.0343495619554326
np.sum(convw[-2,:]) 2.034349562252725
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.98e-11                    delta_phi: 5.02e-09
time pp: 1.18e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.00e-10                    delta_phi: 5.84e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.11e-09                    delta_phi: 6.30e-06
time omega: 1.58e-02

--iter:113, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 113, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852813362104838

---iter: 113, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.41e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.07e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.79e-03
np.sum(convw[0,:]) 2.034349574905198
np.sum(convw[1,:]) 2.034349576291519
np.sum(convw[-1,:]) 2.034349561955467
np.sum(convw[-2,:]) 2.0343495622513093
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.60e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.64e-10                    delta_phi: 5.84e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.12e-09                    delta_phi: 6.30e-06
time omega: 1.52e-02

--iter:114, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 114, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852807645980538

---iter: 114, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.41e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.18e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.25e-03
np.sum(convw[0,:]) 2.0343495749055656
np.sum(convw[1,:]) 2.0343495762928034
np.sum(convw[-1,:]) 2.0343495619558345
np.sum(convw[-2,:]) 2.034349562253068
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.69e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.84e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.13e-09                    delta_phi: 6.30e-06
time omega: 1.49e-02

--iter:115, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 115, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852801930506055

---iter: 115, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.09e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.87e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.57e-03
np.sum(convw[0,:]) 2.0343495749058764
np.sum(convw[1,:]) 2.03434957629326
np.sum(convw[-1,:]) 2.0343495619561454
np.sum(convw[-2,:]) 2.034349562253714
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.12e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.84e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.14e-09                    delta_phi: 6.30e-06
time omega: 1.53e-02

--iter:116, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.27e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 116, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852796215438194

---iter: 116, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.62e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.63e-03
np.sum(convw[0,:]) 2.0343495749057907
np.sum(convw[1,:]) 2.0343495762917607
np.sum(convw[-1,:]) 2.034349561956059
np.sum(convw[-2,:]) 2.034349562251641
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.59e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.84e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.12e-09                    delta_phi: 6.30e-06
time omega: 1.50e-02

--iter:117, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.16e-06, eps:0.00e+00


monitor iteration: 117, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852790500847301

---iter: 117, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.56e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.03e-03
np.sum(convw[0,:]) 2.0343495749062246
np.sum(convw[1,:]) 2.0343495762932475
np.sum(convw[-1,:]) 2.0343495619564935
np.sum(convw[-2,:]) 2.0343495622536523
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.02e-09
time pp: 1.18e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.03e-10                    delta_phi: 5.84e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.13e-09                    delta_phi: 6.30e-06
time omega: 1.49e-02

--iter:118, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 118, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852784787188487

---iter: 118, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.96e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.03e-03
np.sum(convw[0,:]) 2.034349574906241
np.sum(convw[1,:]) 2.034349576292187
np.sum(convw[-1,:]) 2.03434956195651
np.sum(convw[-2,:]) 2.0343495622522116
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.58e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.64e-10                    delta_phi: 5.83e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.13e-09                    delta_phi: 6.30e-06
time omega: 1.55e-02

--iter:119, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 119, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852779073606588

---iter: 119, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.47e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.59e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.73e-03
np.sum(convw[0,:]) 2.034349574906633
np.sum(convw[1,:]) 2.0343495762936
np.sum(convw[-1,:]) 2.0343495619569016
np.sum(convw[-2,:]) 2.034349562254137
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.68e-09
time pp: 1.19e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.83e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.10e-09                    delta_phi: 6.30e-06
time omega: 1.50e-02

--iter:120, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 120, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852773360551701

---iter: 120, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.29e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.38e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.40e-03
np.sum(convw[0,:]) 2.0343495749069413
np.sum(convw[1,:]) 2.034349576294074
np.sum(convw[-1,:]) 2.0343495619572103
np.sum(convw[-2,:]) 2.034349562254816
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.13e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.83e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.13e-09                    delta_phi: 6.30e-06
time omega: 1.56e-02

--iter:121, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 121, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852767648100842

---iter: 121, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.09e-03
np.sum(convw[0,:]) 2.0343495749068463
np.sum(convw[1,:]) 2.0343495762924846
np.sum(convw[-1,:]) 2.034349561957115
np.sum(convw[-2,:]) 2.034349562252613
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.59e-09
time pp: 1.24e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.64e-10                    delta_phi: 5.83e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  2.48e-05              final residual: 2.47e-09                    delta_phi: 6.30e-06
time omega: 1.68e-02

--iter:122, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 122, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852761935979599

---iter: 122, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.71e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.85e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.64e-03
np.sum(convw[0,:]) 2.0343495749072837
np.sum(convw[1,:]) 2.0343495762939976
np.sum(convw[-1,:]) 2.0343495619575527
np.sum(convw[-2,:]) 2.0343495622546643
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.98e-11                    delta_phi: 5.00e-09
time pp: 1.30e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.97e-10                    delta_phi: 5.83e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.14e-09                    delta_phi: 6.30e-06
time omega: 1.63e-02

--iter:123, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 123, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852756224801918

---iter: 123, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.79e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.49e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.38e-03
np.sum(convw[0,:]) 2.034349574907323
np.sum(convw[1,:]) 2.0343495762930175
np.sum(convw[-1,:]) 2.0343495619575913
np.sum(convw[-2,:]) 2.0343495622533316
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.61e-09
time pp: 1.26e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.02e-10                    delta_phi: 5.83e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.10e-09                    delta_phi: 6.30e-06
time omega: 1.76e-02

--iter:124, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 124, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785275051414969

---iter: 124, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.91e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.35e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.88e-03
np.sum(convw[0,:]) 2.0343495749076883
np.sum(convw[1,:]) 2.0343495762942543
np.sum(convw[-1,:]) 2.0343495619579572
np.sum(convw[-2,:]) 2.034349562255018
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.70e-09
time pp: 1.21e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.64e-10                    delta_phi: 5.83e-08
time k: 1.38e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.13e-09                    delta_phi: 6.30e-06
time omega: 1.68e-02

--iter:125, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 125, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078527448036067

---iter: 125, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.78e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.66e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.60e-03
np.sum(convw[0,:]) 2.0343495749079885
np.sum(convw[1,:]) 2.034349576294665
np.sum(convw[-1,:]) 2.0343495619582574
np.sum(convw[-2,:]) 2.0343495622556054
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.12e-09
time pp: 1.36e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.83e-08
time k: 1.46e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.30e-06
time omega: 1.67e-02

--iter:126, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 126, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852739093648697

---iter: 126, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 6.10e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.57e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.54e-03
np.sum(convw[0,:]) 2.0343495749079024
np.sum(convw[1,:]) 2.0343495762931183
np.sum(convw[-1,:]) 2.0343495619581713
np.sum(convw[-2,:]) 2.034349562253467
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.55e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.83e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.43e-09                    delta_phi: 6.30e-06
time omega: 1.71e-02

--iter:127, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 127, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852733384372954

---iter: 127, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.82e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 9.11e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.62e-03
np.sum(convw[0,:]) 2.0343495749083624
np.sum(convw[1,:]) 2.0343495762947894
np.sum(convw[-1,:]) 2.0343495619586305
np.sum(convw[-2,:]) 2.034349562255739
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.34e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.83e-08
time k: 1.41e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.10e-09                    delta_phi: 6.30e-06
time omega: 1.66e-02

--iter:128, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 128, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852727675269529

---iter: 128, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 6.06e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.53e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.35e-03
np.sum(convw[0,:]) 2.0343495749086453
np.sum(convw[1,:]) 2.0343495762952837
np.sum(convw[-1,:]) 2.034349561958914
np.sum(convw[-2,:]) 2.034349562256458
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.12e-09
time pp: 1.26e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.02e-10                    delta_phi: 5.83e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.30e-06
time omega: 1.62e-02

--iter:129, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 129, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852721967155032

---iter: 129, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.73e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.73e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.05e-03
np.sum(convw[0,:]) 2.0343495749085734
np.sum(convw[1,:]) 2.0343495762937516
np.sum(convw[-1,:]) 2.0343495619588423
np.sum(convw[-2,:]) 2.0343495622543264
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.57e-09
time pp: 1.25e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.64e-10                    delta_phi: 5.83e-08
time k: 1.43e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.30e-06
time omega: 1.64e-02

--iter:130, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 130, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852716259297023

---iter: 130, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.79e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.09e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.22e-03
np.sum(convw[0,:]) 2.034349574909005
np.sum(convw[1,:]) 2.034349576295298
np.sum(convw[-1,:]) 2.0343495619592735
np.sum(convw[-2,:]) 2.034349562256435
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.83e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.46e-09                    delta_phi: 6.30e-06
time omega: 1.68e-02

--iter:131, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 131, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852710551868658

---iter: 131, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.73e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.87e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.29e-03
np.sum(convw[0,:]) 2.0343495749093004
np.sum(convw[1,:]) 2.0343495762957917
np.sum(convw[-1,:]) 2.034349561959569
np.sum(convw[-2,:]) 2.0343495622571437
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.10e-09
time pp: 1.29e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.83e-08
time k: 1.39e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.46e-09                    delta_phi: 6.29e-06
time omega: 1.59e-02

--iter:132, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 132, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852704845019777

---iter: 132, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.76e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.14e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.17e-03
np.sum(convw[0,:]) 2.0343495749092346
np.sum(convw[1,:]) 2.034349576294321
np.sum(convw[-1,:]) 2.0343495619595036
np.sum(convw[-2,:]) 2.0343495622551035
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.57e-09
time pp: 1.20e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.83e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.29e-06
time omega: 1.61e-02

--iter:133, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 133, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852699138584195

---iter: 133, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.70e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.16e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.23e-03
np.sum(convw[0,:]) 2.034349574909669
np.sum(convw[1,:]) 2.0343495762958668
np.sum(convw[-1,:]) 2.0343495619599374
np.sum(convw[-2,:]) 2.034349562257203
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.03e-09
time pp: 1.30e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 2.01e-10                    delta_phi: 5.83e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.13e-09                    delta_phi: 6.29e-06
time omega: 1.62e-02

--iter:134, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 134, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852693433017671

---iter: 134, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.75e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.82e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.22e-03
np.sum(convw[0,:]) 2.034349574909676
np.sum(convw[1,:]) 2.0343495762946873
np.sum(convw[-1,:]) 2.034349561959944
np.sum(convw[-2,:]) 2.034349562255593
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.99e-11                    delta_phi: 4.61e-09
time pp: 1.19e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.83e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.29e-06
time omega: 1.65e-02

--iter:135, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 135, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852687727656808

---iter: 135, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.67e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.82e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.60e-03
np.sum(convw[0,:]) 2.0343495749100353
np.sum(convw[1,:]) 2.034349576295898
np.sum(convw[-1,:]) 2.034349561960304
np.sum(convw[-2,:]) 2.034349562257243
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.70e-09
time pp: 1.28e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.62e-10                    delta_phi: 5.83e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.10e-09                    delta_phi: 6.29e-06
time omega: 1.70e-02

--iter:136, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 136, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852682022837526

---iter: 136, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.92e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.67e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.10e-03
np.sum(convw[0,:]) 2.034349574910344
np.sum(convw[1,:]) 2.0343495762963304
np.sum(convw[-1,:]) 2.034349561960613
np.sum(convw[-2,:]) 2.0343495622578556
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.73e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.83e-08
time k: 1.40e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.13e-09                    delta_phi: 6.29e-06
time omega: 1.64e-02

--iter:137, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 137, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852676318498464

---iter: 137, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.66e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.19e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.69e-03
np.sum(convw[0,:]) 2.03434957491055
np.sum(convw[1,:]) 2.0343495762965746
np.sum(convw[-1,:]) 2.0343495619608185
np.sum(convw[-2,:]) 2.0343495622582015
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.14e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.63e-10                    delta_phi: 5.82e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.08e-09                    delta_phi: 6.29e-06
time omega: 1.66e-02

--iter:138, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 138, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852670614630264

---iter: 138, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.66e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.66e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.98e-03
np.sum(convw[0,:]) 2.0343495749105163
np.sum(convw[1,:]) 2.0343495762950443
np.sum(convw[-1,:]) 2.0343495619607848
np.sum(convw[-2,:]) 2.034349562256056
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.99e-11                    delta_phi: 4.59e-09
time pp: 1.32e-02
residual history in solve_2d: initial residual:  2.03e-06              final residual: 1.97e-10                    delta_phi: 5.82e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.13e-09                    delta_phi: 6.29e-06
time omega: 1.60e-02

--iter:139, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.15e-06, eps:0.00e+00


monitor iteration: 139, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852664911550176

---iter: 139, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.88e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.99e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.10e-03
np.sum(convw[0,:]) 2.0343495749108897
np.sum(convw[1,:]) 2.0343495762964787
np.sum(convw[-1,:]) 2.0343495619611582
np.sum(convw[-2,:]) 2.0343495622580177
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.25e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.63e-10                    delta_phi: 5.82e-08
time k: 1.36e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.14e-09                    delta_phi: 6.29e-06
time omega: 1.63e-02

--iter:140, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 140, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852659208715429

---iter: 140, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.63e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.25e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.76e-03
np.sum(convw[0,:]) 2.034349574911211
np.sum(convw[1,:]) 2.034349576297045
np.sum(convw[-1,:]) 2.0343495619614793
np.sum(convw[-2,:]) 2.034349562258812
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.71e-09
time pp: 1.19e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 2.01e-10                    delta_phi: 5.82e-08
time k: 1.33e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.13e-09                    delta_phi: 6.29e-06
time omega: 1.65e-02

--iter:141, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 141, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852653506719368

---iter: 141, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.66e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.73e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.27e-03
np.sum(convw[0,:]) 2.034349574911414
np.sum(convw[1,:]) 2.034349576297319
np.sum(convw[-1,:]) 2.0343495619616823
np.sum(convw[-2,:]) 2.0343495622592083
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.17e-09
time pp: 1.19e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.64e-10                    delta_phi: 5.82e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.14e-09                    delta_phi: 6.29e-06
time omega: 1.63e-02

--iter:142, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 142, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852647804952795

---iter: 142, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.71e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.32e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.24e-03
np.sum(convw[0,:]) 2.034349574911354
np.sum(convw[1,:]) 2.0343495762956367
np.sum(convw[-1,:]) 2.0343495619616228
np.sum(convw[-2,:]) 2.0343495622568524
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.53e-09
time pp: 1.19e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 2.02e-10                    delta_phi: 5.82e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.14e-09                    delta_phi: 6.29e-06
time omega: 1.64e-02

--iter:143, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 143, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852642103927618

---iter: 143, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.55e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.44e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.10e-03
np.sum(convw[0,:]) 2.0343495749117766
np.sum(convw[1,:]) 2.034349576297383
np.sum(convw[-1,:]) 2.034349561962045
np.sum(convw[-2,:]) 2.0343495622592513
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.68e-09
time pp: 1.29e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 2.02e-10                    delta_phi: 5.82e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.14e-09                    delta_phi: 6.29e-06
time omega: 1.58e-02

--iter:144, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 144, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852636403646396

---iter: 144, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.48e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.16e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.69e-03
np.sum(convw[0,:]) 2.034349574912089
np.sum(convw[1,:]) 2.0343495762978034
np.sum(convw[-1,:]) 2.0343495619623573
np.sum(convw[-2,:]) 2.0343495622598526
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.15e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 2.01e-10                    delta_phi: 5.82e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.15e-09                    delta_phi: 6.29e-06
time omega: 1.56e-02

--iter:145, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 145, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852630704012707

---iter: 145, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.55e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.26e-03
np.sum(convw[0,:]) 2.03434957491196
np.sum(convw[1,:]) 2.034349576296065
np.sum(convw[-1,:]) 2.0343495619622285
np.sum(convw[-2,:]) 2.03434956225746
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.56e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.63e-10                    delta_phi: 5.82e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.29e-06
time omega: 1.55e-02

--iter:146, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 146, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852625003888317

---iter: 146, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.00e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.73e-03
np.sum(convw[0,:]) 2.034349574912435
np.sum(convw[1,:]) 2.0343495762977035
np.sum(convw[-1,:]) 2.0343495619627037
np.sum(convw[-2,:]) 2.0343495622596857
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.65e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.62e-10                    delta_phi: 5.82e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.16e-09                    delta_phi: 6.29e-06
time omega: 1.49e-02

--iter:147, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 147, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785261930429662

---iter: 147, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.11e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.36e-03
np.sum(convw[0,:]) 2.0343495749127283
np.sum(convw[1,:]) 2.034349576298238
np.sum(convw[-1,:]) 2.0343495619629968
np.sum(convw[-2,:]) 2.0343495622604735
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.73e-09
time pp: 1.17e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.62e-10                    delta_phi: 5.82e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.47e-09                    delta_phi: 6.29e-06
time omega: 1.51e-02

--iter:148, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 148, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852613605562886

---iter: 148, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.72e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.47e-03
np.sum(convw[0,:]) 2.0343495749129574
np.sum(convw[1,:]) 2.0343495762984425
np.sum(convw[-1,:]) 2.034349561963226
np.sum(convw[-2,:]) 2.034349562260753
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.13e-09
time pp: 1.31e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.62e-10                    delta_phi: 5.82e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.29e-06
time omega: 1.69e-02

--iter:149, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 149, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852607907408043

---iter: 149, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.93e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.67e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.39e-03
np.sum(convw[0,:]) 2.034349574912908
np.sum(convw[1,:]) 2.034349576296891
np.sum(convw[-1,:]) 2.034349561963176
np.sum(convw[-2,:]) 2.034349562258595
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.99e-11                    delta_phi: 4.63e-09
time pp: 1.32e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.60e-10                    delta_phi: 5.82e-08
time k: 1.41e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.46e-09                    delta_phi: 6.29e-06
time omega: 1.54e-02

--iter:150, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 150, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852602209836156

---iter: 150, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.86e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.92e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.23e-03
np.sum(convw[0,:]) 2.034349574913279
np.sum(convw[1,:]) 2.0343495762981694
np.sum(convw[-1,:]) 2.034349561963547
np.sum(convw[-2,:]) 2.0343495622603296
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.66e-09
time pp: 1.20e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 2.00e-10                    delta_phi: 5.82e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.29e-06
time omega: 1.60e-02

--iter:151, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.20e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 151, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852596512886482

---iter: 151, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.52e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 5.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.61e-03
np.sum(convw[0,:]) 2.034349574913592
np.sum(convw[1,:]) 2.034349576298803
np.sum(convw[-1,:]) 2.034349561963861
np.sum(convw[-2,:]) 2.0343495622612187
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.72e-09
time pp: 1.15e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.61e-10                    delta_phi: 5.82e-08
time k: 1.33e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.15e-09                    delta_phi: 6.29e-06
time omega: 1.64e-02

--iter:152, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 152, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852590815957501

---iter: 152, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.53e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.13e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.07e-03
np.sum(convw[0,:]) 2.0343495749138003
np.sum(convw[1,:]) 2.034349576299065
np.sum(convw[-1,:]) 2.0343495619640684
np.sum(convw[-2,:]) 2.03434956226159
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.15e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.63e-10                    delta_phi: 5.82e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.11e-09                    delta_phi: 6.28e-06
time omega: 1.60e-02

--iter:153, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 153, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852585119805482

---iter: 153, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.56e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.95e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.86e-03
np.sum(convw[0,:]) 2.0343495749137457
np.sum(convw[1,:]) 2.034349576297463
np.sum(convw[-1,:]) 2.0343495619640137
np.sum(convw[-2,:]) 2.034349562259351
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.55e-09
time pp: 1.31e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.63e-10                    delta_phi: 5.82e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.14e-09                    delta_phi: 6.28e-06
time omega: 1.69e-02

--iter:154, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 154, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852579424026122

---iter: 154, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.92e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.23e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.47e-03
np.sum(convw[0,:]) 2.0343495749141534
np.sum(convw[1,:]) 2.0343495762990975
np.sum(convw[-1,:]) 2.034349561964422
np.sum(convw[-2,:]) 2.034349562261587
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.01e-09
time pp: 1.32e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.62e-10                    delta_phi: 5.82e-08
time k: 1.37e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.09e-09                    delta_phi: 6.28e-06
time omega: 1.62e-02

--iter:155, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 155, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852573728844421

---iter: 155, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.96e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.49e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.01e-03
np.sum(convw[0,:]) 2.0343495749142004
np.sum(convw[1,:]) 2.034349576298018
np.sum(convw[-1,:]) 2.034349561964469
np.sum(convw[-2,:]) 2.0343495622601053
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.59e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.61e-10                    delta_phi: 5.82e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.12e-09                    delta_phi: 6.28e-06
time omega: 1.64e-02

--iter:156, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 156, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852568034130733

---iter: 156, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.64e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.05e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.94e-03
np.sum(convw[0,:]) 2.034349574914547
np.sum(convw[1,:]) 2.0343495762992854
np.sum(convw[-1,:]) 2.034349561964815
np.sum(convw[-2,:]) 2.034349562261846
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.31e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 2.01e-10                    delta_phi: 5.82e-08
time k: 1.33e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.10e-09                    delta_phi: 6.28e-06
time omega: 1.70e-02

--iter:157, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 157, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0785256234016398

---iter: 157, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.92e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.74e-03
np.sum(convw[0,:]) 2.0343495749148763
np.sum(convw[1,:]) 2.034349576299773
np.sum(convw[-1,:]) 2.0343495619651444
np.sum(convw[-2,:]) 2.0343495622625247
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.97e-11                    delta_phi: 5.08e-09
time pp: 1.18e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.63e-10                    delta_phi: 5.81e-08
time k: 1.32e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.11e-09                    delta_phi: 6.28e-06
time omega: 1.64e-02

--iter:158, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 158, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852556646481927

---iter: 158, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.69e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 8.92e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.26e-03
np.sum(convw[0,:]) 2.0343495749147955
np.sum(convw[1,:]) 2.034349576298313
np.sum(convw[-1,:]) 2.0343495619650636
np.sum(convw[-2,:]) 2.0343495622605188
residual history in solve_2d: initial residual:  1.29e-09              final residual: 9.99e-11                    delta_phi: 4.61e-09
time pp: 1.30e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.63e-10                    delta_phi: 5.81e-08
time k: 1.40e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.09e-09                    delta_phi: 6.28e-06
time omega: 1.70e-02

--iter:159, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 159, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852550953365527

---iter: 159, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 6.00e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 6.44e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.53e-03
np.sum(convw[0,:]) 2.0343495749152196
np.sum(convw[1,:]) 2.034349576299608
np.sum(convw[-1,:]) 2.0343495619654877
np.sum(convw[-2,:]) 2.034349562262265
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.67e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.63e-10                    delta_phi: 5.81e-08
time k: 1.33e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.13e-09                    delta_phi: 6.28e-06
time omega: 1.61e-02

--iter:160, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 160, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852545260664276

---iter: 160, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

time one iteration: 5.69e-02
residual history in solve_2d: initial residual:  1.94e-03              final residual: 1.94e-03                    delta_phi: 0.00e+00
time u: 7.92e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.97e-03
np.sum(convw[0,:]) 2.0343495749154883
np.sum(convw[1,:]) 2.0343495763000643
np.sum(convw[-1,:]) 2.0343495619657563
np.sum(convw[-2,:]) 2.034349562262931
residual history in solve_2d: initial residual:  1.29e-09              final residual: 1.00e-10                    delta_phi: 4.71e-09
time pp: 1.24e-02
residual history in solve_2d: initial residual:  2.02e-06              final residual: 1.62e-10                    delta_phi: 5.81e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  2.47e-05              final residual: 2.10e-09                    delta_phi: 6.28e-06
time omega: 1.60e-02

--iter:161, max residual:6.38e-04, u:6.38e-04, v:3.62e-04, cont:4.26e-10, k:2.19e-07, om:8.14e-06, eps:0.00e+00


monitor iteration: 161, u: 8.24e-01, v: 1.15e-02, p: 9.48e-03, k: 3.34e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07852539568540297

---iter: 161, umax: 1.13e+00, vismax: 3.90e+02, kmin: 4.06e-08, ommin: 7.57e-01, epsmmin: 1.00e-10

np.sum(convw[0,:]) 2.034349575622363
np.sum(convw[1,:]) 2.034349576722789
np.sum(convw[-1,:]) 2.0343495626725834
np.sum(convw[-2,:]) 2.0343495629610158
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.47e-09
time pp: 1.46e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.20e-10                    delta_phi: 4.15e-08
time k: 1.65e-02
residual history in solve_2d: initial residual:  1.89e-05              final residual: 1.87e-09                    delta_phi: 4.53e-06
time omega: 2.05e-02

--iter:3840, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.33e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3840, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834730777933109

---iter: 3840, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 7.22e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.14e-03
np.sum(convw[0,:]) 2.034349575622471
np.sum(convw[1,:]) 2.0343495767225184
np.sum(convw[-1,:]) 2.0343495626726917
np.sum(convw[-2,:]) 2.0343495629606934
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.34e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.19e-10                    delta_phi: 4.15e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.89e-05              final residual: 1.87e-09                    delta_phi: 4.53e-06
time omega: 1.45e-02

--iter:3841, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.33e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3841, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834726708914284

---iter: 3841, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.97e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.89e-03
np.sum(convw[0,:]) 2.0343495756226826
np.sum(convw[1,:]) 2.0343495767230286
np.sum(convw[-1,:]) 2.0343495626729027
np.sum(convw[-2,:]) 2.034349562961418
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.37e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.15e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.89e-05              final residual: 1.59e-09                    delta_phi: 4.53e-06
time omega: 1.49e-02

--iter:3842, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.33e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3842, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834722640252263

---iter: 3842, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.76e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.58e-03
np.sum(convw[0,:]) 2.034349575622857
np.sum(convw[1,:]) 2.034349576723266
np.sum(convw[-1,:]) 2.0343495626730776
np.sum(convw[-2,:]) 2.0343495629618134
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.96e-11                    delta_phi: 3.95e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.19e-10                    delta_phi: 4.15e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.89e-05              final residual: 1.87e-09                    delta_phi: 4.53e-06
time omega: 1.50e-02

--iter:3843, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.33e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3843, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783471857197736

---iter: 3843, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.14e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.43e-03
np.sum(convw[0,:]) 2.034349575622737
np.sum(convw[1,:]) 2.034349576720677
np.sum(convw[-1,:]) 2.0343495626729573
np.sum(convw[-2,:]) 2.034349562958239
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.18e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.17e-10                    delta_phi: 4.15e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.53e-06
time omega: 1.48e-02

--iter:3844, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3844, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834714504078646

---iter: 3844, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.08e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.06e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.53e-03
np.sum(convw[0,:]) 2.0343495756230423
np.sum(convw[1,:]) 2.0343495767224726
np.sum(convw[-1,:]) 2.0343495626732624
np.sum(convw[-2,:]) 2.034349562960682
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 9.95e-03
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.15e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.53e-06
time omega: 1.54e-02

--iter:3845, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3845, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834710436497236

---iter: 3845, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.68e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.18e-03
np.sum(convw[0,:]) 2.0343495756232954
np.sum(convw[1,:]) 2.034349576722878
np.sum(convw[-1,:]) 2.0343495626735155
np.sum(convw[-2,:]) 2.034349562961378
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.00e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.20e-10                    delta_phi: 4.15e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.53e-06
time omega: 1.48e-02

--iter:3846, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3846, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834706369402666

---iter: 3846, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.04e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.06e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.12e-03
np.sum(convw[0,:]) 2.034349575623442
np.sum(convw[1,:]) 2.0343495767229975
np.sum(convw[-1,:]) 2.034349562673662
np.sum(convw[-2,:]) 2.0343495629615975
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.44e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.15e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.53e-06
time omega: 1.55e-02

--iter:3847, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3847, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783470230262243

---iter: 3847, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.39e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.83e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.84e-03
np.sum(convw[0,:]) 2.0343495756236387
np.sum(convw[1,:]) 2.034349576722949
np.sum(convw[-1,:]) 2.0343495626738592
np.sum(convw[-2,:]) 2.034349562961568
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 9.92e-03
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.53e-06
time omega: 1.53e-02

--iter:3848, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3848, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834698236303353

---iter: 3848, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.79e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.77e-03
np.sum(convw[0,:]) 2.0343495756237964
np.sum(convw[1,:]) 2.0343495767232076
np.sum(convw[-1,:]) 2.034349562674017
np.sum(convw[-2,:]) 2.034349562961961
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.60e-09                    delta_phi: 4.53e-06
time omega: 1.52e-02

--iter:3849, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3849, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834694170216658

---iter: 3849, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.36e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.00e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.21e-03
np.sum(convw[0,:]) 2.0343495756240015
np.sum(convw[1,:]) 2.034349576723507
np.sum(convw[-1,:]) 2.0343495626742225
np.sum(convw[-2,:]) 2.0343495629624133
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.37e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.53e-06
time omega: 1.90e-02

--iter:3850, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3850, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783469010467275

---iter: 3850, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.61e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.30e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.12e-03
np.sum(convw[0,:]) 2.034349575624161
np.sum(convw[1,:]) 2.034349576723741
np.sum(convw[-1,:]) 2.0343495626743806
np.sum(convw[-2,:]) 2.0343495629627917
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.38e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.52e-06
time omega: 1.48e-02

--iter:3851, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3851, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783468603935822

---iter: 3851, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.99e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.28e-03
np.sum(convw[0,:]) 2.034349575624347
np.sum(convw[1,:]) 2.034349576723927
np.sum(convw[-1,:]) 2.034349562674567
np.sum(convw[-2,:]) 2.034349562963087
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.38e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.60e-09                    delta_phi: 4.52e-06
time omega: 1.53e-02

--iter:3852, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.21e-06, eps:0.00e+00


monitor iteration:3852, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783468197457869

---iter: 3852, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.31e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.30e-03
np.sum(convw[0,:]) 2.034349575624506
np.sum(convw[1,:]) 2.0343495767240993
np.sum(convw[-1,:]) 2.034349562674726
np.sum(convw[-2,:]) 2.0343495629633734
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.42e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.52e-06
time omega: 1.61e-02

--iter:3853, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3853, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834677910029118

---iter: 3853, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.18e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.33e-03
np.sum(convw[0,:]) 2.034349575624672
np.sum(convw[1,:]) 2.034349576724132
np.sum(convw[-1,:]) 2.034349562674892
np.sum(convw[-2,:]) 2.0343495629634543
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.95e-11                    delta_phi: 4.06e-09
time pp: 1.13e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.86e-09                    delta_phi: 4.52e-06
time omega: 1.59e-02

--iter:3854, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3854, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834673845954025

---iter: 3854, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.47e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.60e-03
np.sum(convw[0,:]) 2.0343495756244914
np.sum(convw[1,:]) 2.0343495767211035
np.sum(convw[-1,:]) 2.0343495626747115
np.sum(convw[-2,:]) 2.0343495629592643
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.98e-11                    delta_phi: 3.16e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.60e-09                    delta_phi: 4.52e-06
time omega: 1.52e-02

--iter:3855, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3855, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834669782201766

---iter: 3855, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.80e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.20e-03
np.sum(convw[0,:]) 2.034349575624825
np.sum(convw[1,:]) 2.0343495767231454
np.sum(convw[-1,:]) 2.034349562675045
np.sum(convw[-2,:]) 2.0343495629620323
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.27e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.85e-09                    delta_phi: 4.52e-06
time omega: 1.46e-02

--iter:3856, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3856, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834665718867123

---iter: 3856, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.72e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.15e-03
np.sum(convw[0,:]) 2.034349575625115
np.sum(convw[1,:]) 2.0343495767238906
np.sum(convw[-1,:]) 2.034349562675335
np.sum(convw[-2,:]) 2.0343495629632207
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.41e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.86e-09                    delta_phi: 4.52e-06
time omega: 1.51e-02

--iter:3857, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3857, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783466165589456

---iter: 3857, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.21e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.30e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.13e-03
np.sum(convw[0,:]) 2.0343495756252503
np.sum(convw[1,:]) 2.0343495767237942
np.sum(convw[-1,:]) 2.0343495626754704
np.sum(convw[-2,:]) 2.0343495629631545
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.39e-09
time pp: 9.78e-03
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.58e-09                    delta_phi: 4.52e-06
time omega: 1.54e-02

--iter:3858, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3858, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783465759329913

---iter: 3858, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.78e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.49e-03
np.sum(convw[0,:]) 2.034349575625469
np.sum(convw[1,:]) 2.0343495767239794
np.sum(convw[-1,:]) 2.034349562675689
np.sum(convw[-2,:]) 2.0343495629634436
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.41e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.44e-06              final residual: 1.16e-10                    delta_phi: 4.14e-08
time k: 1.14e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.52e-06
time omega: 1.44e-02

--iter:3859, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3859, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834653531113055

---iter: 3859, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.03e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.73e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.05e-03
np.sum(convw[0,:]) 2.034349575625617
np.sum(convw[1,:]) 2.03434957672403
np.sum(convw[-1,:]) 2.034349562675837
np.sum(convw[-2,:]) 2.034349562963557
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.52e-06
time omega: 1.48e-02

--iter:3860, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3860, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834649469209413

---iter: 3860, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.12e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.45e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.68e-03
np.sum(convw[0,:]) 2.034349575625818
np.sum(convw[1,:]) 2.034349576724389
np.sum(convw[-1,:]) 2.034349562676038
np.sum(convw[-2,:]) 2.034349562964081
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.41e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.52e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.52e-06
time omega: 1.64e-02

--iter:3861, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3861, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783464540782735

---iter: 3861, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.62e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.21e-03
np.sum(convw[0,:]) 2.0343495756259617
np.sum(convw[1,:]) 2.0343495767244075
np.sum(convw[-1,:]) 2.034349562676182
np.sum(convw[-2,:]) 2.0343495629641604
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.41e-09
time pp: 9.53e-03
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.52e-06
time omega: 1.54e-02

--iter:3862, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3862, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834641346678663

---iter: 3862, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.07e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.62e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.85e-03
np.sum(convw[0,:]) 2.0343495756261274
np.sum(convw[1,:]) 2.034349576724491
np.sum(convw[-1,:]) 2.034349562676348
np.sum(convw[-2,:]) 2.034349562964308
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.42e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.52e-06
time omega: 1.52e-02

--iter:3863, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3863, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834637286121002

---iter: 3863, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.35e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.85e-03
np.sum(convw[0,:]) 2.0343495756262793
np.sum(convw[1,:]) 2.034349576724492
np.sum(convw[-1,:]) 2.0343495626764994
np.sum(convw[-2,:]) 2.0343495629643558
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 9.91e-03
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.52e-06
time omega: 1.48e-02

--iter:3864, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3864, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834633225687719

---iter: 3864, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.06e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.91e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.50e-03
np.sum(convw[0,:]) 2.034349575626459
np.sum(convw[1,:]) 2.034349576724724
np.sum(convw[-1,:]) 2.034349562676679
np.sum(convw[-2,:]) 2.03434956296471
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.52e-06
time omega: 1.59e-02

--iter:3865, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3865, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834629165898409

---iter: 3865, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.34e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.13e-03
np.sum(convw[0,:]) 2.03434957562664
np.sum(convw[1,:]) 2.034349576724986
np.sum(convw[-1,:]) 2.03434956267686
np.sum(convw[-2,:]) 2.034349562965124
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.37e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.14e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.52e-06
time omega: 1.48e-02

--iter:3866, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3866, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834625106245505

---iter: 3866, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.74e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.18e-03
np.sum(convw[0,:]) 2.034349575626818
np.sum(convw[1,:]) 2.034349576725206
np.sum(convw[-1,:]) 2.034349562677038
np.sum(convw[-2,:]) 2.0343495629654735
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.38e-09
time pp: 9.98e-03
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.52e-06
time omega: 1.49e-02

--iter:3867, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3867, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834621047012148

---iter: 3867, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.16e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.31e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.20e-03
np.sum(convw[0,:]) 2.0343495756269907
np.sum(convw[1,:]) 2.0343495767253845
np.sum(convw[-1,:]) 2.034349562677211
np.sum(convw[-2,:]) 2.034349562965766
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.36e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.58e-09                    delta_phi: 4.52e-06
time omega: 1.51e-02

--iter:3868, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3868, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834616988305142

---iter: 3868, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.05e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.09e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.29e-03
np.sum(convw[0,:]) 2.0343495756271706
np.sum(convw[1,:]) 2.034349576725634
np.sum(convw[-1,:]) 2.0343495626773906
np.sum(convw[-2,:]) 2.034349562966151
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.95e-11                    delta_phi: 4.03e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.60e-09                    delta_phi: 4.52e-06
time omega: 1.50e-02

--iter:3869, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3869, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834612929794221

---iter: 3869, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.60e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.36e-03
np.sum(convw[0,:]) 2.0343495756270062
np.sum(convw[1,:]) 2.0343495767226694
np.sum(convw[-1,:]) 2.0343495626772263
np.sum(convw[-2,:]) 2.0343495629620576
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.15e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.14e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.86e-09                    delta_phi: 4.52e-06
time omega: 1.50e-02

--iter:3870, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3870, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834608871848536

---iter: 3870, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.09e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.06e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.64e-03
np.sum(convw[0,:]) 2.0343495756273273
np.sum(convw[1,:]) 2.034349576724681
np.sum(convw[-1,:]) 2.034349562677548
np.sum(convw[-2,:]) 2.034349562964785
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.30e-09
time pp: 9.84e-03
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.52e-06
time omega: 1.60e-02

--iter:3871, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.20e-06, eps:0.00e+00


monitor iteration:3871, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783460481411573

---iter: 3871, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.15e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.18e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.67e-03
np.sum(convw[0,:]) 2.0343495756276075
np.sum(convw[1,:]) 2.034349576725269
np.sum(convw[-1,:]) 2.0343495626778276
np.sum(convw[-2,:]) 2.0343495629657524
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.40e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.14e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.52e-06
time omega: 1.55e-02

--iter:3872, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3872, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834600756907568

---iter: 3872, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.36e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.58e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.58e-03
np.sum(convw[0,:]) 2.034349575627737
np.sum(convw[1,:]) 2.0343495767251945
np.sum(convw[-1,:]) 2.0343495626779573
np.sum(convw[-2,:]) 2.0343495629657093
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.98e-11                    delta_phi: 3.45e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.14e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.52e-06
time omega: 1.48e-02

--iter:3873, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3873, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834596699933785

---iter: 3873, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.58e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.31e-03
np.sum(convw[0,:]) 2.0343495756279326
np.sum(convw[1,:]) 2.0343495767250808
np.sum(convw[-1,:]) 2.0343495626781527
np.sum(convw[-2,:]) 2.034349562965584
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.98e-11                    delta_phi: 3.49e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.52e-06
time omega: 1.48e-02

--iter:3874, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.56e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3874, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834592643455653

---iter: 3874, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.04e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.0343495756280356
np.sum(convw[1,:]) 2.0343495767247632
np.sum(convw[-1,:]) 2.0343495626782557
np.sum(convw[-2,:]) 2.0343495629651738
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.32e-09
time pp: 9.83e-03
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.52e-06
time omega: 1.48e-02

--iter:3875, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3875, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834588587269703

---iter: 3875, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.82e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.53e-03
np.sum(convw[0,:]) 2.034349575628271
np.sum(convw[1,:]) 2.0343495767254383
np.sum(convw[-1,:]) 2.034349562678491
np.sum(convw[-2,:]) 2.0343495629661237
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.51e-02

--iter:3876, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3876, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834584531526345

---iter: 3876, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.16e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.63e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.76e-03
np.sum(convw[0,:]) 2.034349575628436
np.sum(convw[1,:]) 2.0343495767256514
np.sum(convw[-1,:]) 2.0343495626786563
np.sum(convw[-2,:]) 2.0343495629664927
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.33e-09
time pp: 9.93e-03
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.13e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.51e-06
time omega: 1.50e-02

--iter:3877, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3877, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834580476129503

---iter: 3877, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.11e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.52e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.50e-03
np.sum(convw[0,:]) 2.0343495756286374
np.sum(convw[1,:]) 2.0343495767260653
np.sum(convw[-1,:]) 2.0343495626788575
np.sum(convw[-2,:]) 2.034349562967108
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.40e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.51e-06
time omega: 1.55e-02

--iter:3878, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3878, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834576421104987

---iter: 3878, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.19e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.68e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.08e-03
np.sum(convw[0,:]) 2.0343495756287906
np.sum(convw[1,:]) 2.0343495767260364
np.sum(convw[-1,:]) 2.0343495626790107
np.sum(convw[-2,:]) 2.0343495629671287
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.34e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.88e-09                    delta_phi: 4.51e-06
time omega: 1.56e-02

--iter:3879, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3879, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834572366477438

---iter: 3879, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.30e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.15e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.15e-03
np.sum(convw[0,:]) 2.0343495756289807
np.sum(convw[1,:]) 2.0343495767263997
np.sum(convw[-1,:]) 2.0343495626792008
np.sum(convw[-2,:]) 2.0343495629676633
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.44e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.48e-02

--iter:3880, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3880, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783456831221947

---iter: 3880, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.32e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.05e-03
np.sum(convw[0,:]) 2.0343495756291228
np.sum(convw[1,:]) 2.0343495767262354
np.sum(convw[-1,:]) 2.034349562679343
np.sum(convw[-2,:]) 2.0343495629674893
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.36e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.57e-02

--iter:3881, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3881, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834564258353208

---iter: 3881, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.50e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.84e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.99e-03
np.sum(convw[0,:]) 2.0343495756293013
np.sum(convw[1,:]) 2.0343495767265596
np.sum(convw[-1,:]) 2.0343495626795214
np.sum(convw[-2,:]) 2.034349562967962
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.44e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.13e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.56e-02

--iter:3882, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3882, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834560204888072

---iter: 3882, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.39e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.87e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.06e-03
np.sum(convw[0,:]) 2.034349575629452
np.sum(convw[1,:]) 2.034349576726445
np.sum(convw[-1,:]) 2.0343495626796715
np.sum(convw[-2,:]) 2.0343495629678543
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.42e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.13e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.58e-09                    delta_phi: 4.51e-06
time omega: 1.52e-02

--iter:3883, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.32e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3883, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834556151739637

---iter: 3883, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.22e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.31e-03
np.sum(convw[0,:]) 2.0343495756296006
np.sum(convw[1,:]) 2.0343495767264734
np.sum(convw[-1,:]) 2.0343495626798207
np.sum(convw[-2,:]) 2.0343495629679227
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.37e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.16e-10                    delta_phi: 4.13e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.51e-06
time omega: 1.59e-02

--iter:3884, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3884, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834552099016998

---iter: 3884, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.58e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.70e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.25e-03
np.sum(convw[0,:]) 2.0343495756297916
np.sum(convw[1,:]) 2.034349576726754
np.sum(convw[-1,:]) 2.034349562680011
np.sum(convw[-2,:]) 2.03434956296835
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.42e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.60e-09                    delta_phi: 4.51e-06
time omega: 1.53e-02

--iter:3885, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3885, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834548046662113

---iter: 3885, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.37e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.89e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.23e-03
np.sum(convw[0,:]) 2.034349575629941
np.sum(convw[1,:]) 2.0343495767267386
np.sum(convw[-1,:]) 2.0343495626801604
np.sum(convw[-2,:]) 2.0343495629683748
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.34e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.13e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.51e-06
time omega: 1.53e-02

--iter:3886, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3886, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834543994655654

---iter: 3886, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.01e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.63e-03
np.sum(convw[0,:]) 2.034349575630137
np.sum(convw[1,:]) 2.0343495767271413
np.sum(convw[-1,:]) 2.034349562680357
np.sum(convw[-2,:]) 2.0343495629689663
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.43e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.60e-09                    delta_phi: 4.51e-06
time omega: 1.60e-02

--iter:3887, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3887, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078345399430677

---iter: 3887, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.47e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.07e-03
np.sum(convw[0,:]) 2.0343495756302854
np.sum(convw[1,:]) 2.034349576727046
np.sum(convw[-1,:]) 2.0343495626805055
np.sum(convw[-2,:]) 2.0343495629688864
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.95e-11                    delta_phi: 3.98e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.83e-09                    delta_phi: 4.51e-06
time omega: 1.56e-02

--iter:3888, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3888, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078345358918462

---iter: 3888, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.57e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.29e-03
np.sum(convw[0,:]) 2.0343495756301535
np.sum(convw[1,:]) 2.0343495767243835
np.sum(convw[-1,:]) 2.034349562680373
np.sum(convw[-2,:]) 2.034349562965197
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.98e-11                    delta_phi: 3.21e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.59e-09                    delta_phi: 4.51e-06
time omega: 1.49e-02

--iter:3889, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3889, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834531840983874

---iter: 3889, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.80e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.22e-03
np.sum(convw[0,:]) 2.034349575630453
np.sum(convw[1,:]) 2.034349576726031
np.sum(convw[-1,:]) 2.034349562680673
np.sum(convw[-2,:]) 2.034349562967435
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.98e-11                    delta_phi: 3.31e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.46e-02

--iter:3890, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3890, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834527790525002

---iter: 3890, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.03e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.27e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.53e-03
np.sum(convw[0,:]) 2.034349575630717
np.sum(convw[1,:]) 2.0343495767266044
np.sum(convw[-1,:]) 2.0343495626809367
np.sum(convw[-2,:]) 2.0343495629683606
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.15e-10                    delta_phi: 4.13e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.55e-02

--iter:3891, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.19e-06, eps:0.00e+00


monitor iteration:3891, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834523740392234

---iter: 3891, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.16e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.90e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.48e-03
np.sum(convw[0,:]) 2.0343495756308743
np.sum(convw[1,:]) 2.0343495767267594
np.sum(convw[-1,:]) 2.0343495626810943
np.sum(convw[-2,:]) 2.034349562968638
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.98e-11                    delta_phi: 3.41e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.86e-09                    delta_phi: 4.51e-06
time omega: 1.51e-02

--iter:3892, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3892, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783451969066191

---iter: 3892, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.83e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.47e-03
np.sum(convw[0,:]) 2.034349575631072
np.sum(convw[1,:]) 2.0343495767267754
np.sum(convw[-1,:]) 2.0343495626812915
np.sum(convw[-2,:]) 2.0343495629687025
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.57e-02

--iter:3893, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3893, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834515641335081

---iter: 3893, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.22e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.15e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.13e-03
np.sum(convw[0,:]) 2.0343495756312335
np.sum(convw[1,:]) 2.0343495767269855
np.sum(convw[-1,:]) 2.0343495626814536
np.sum(convw[-2,:]) 2.0343495629690347
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.39e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.13e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.65e-02

--iter:3894, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3894, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834511592402442

---iter: 3894, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.45e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.45e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.66e-03
np.sum(convw[0,:]) 2.0343495756314156
np.sum(convw[1,:]) 2.034349576727091
np.sum(convw[-1,:]) 2.0343495626816352
np.sum(convw[-2,:]) 2.0343495629692177
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.98e-11                    delta_phi: 3.43e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.51e-02

--iter:3895, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3895, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834507543782337

---iter: 3895, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.69e-03
np.sum(convw[0,:]) 2.034349575631545
np.sum(convw[1,:]) 2.0343495767269735
np.sum(convw[-1,:]) 2.0343495626817645
np.sum(convw[-2,:]) 2.034349562969102
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.57e-02

--iter:3896, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3896, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834503495634171

---iter: 3896, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.48e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.62e-03
np.sum(convw[0,:]) 2.034349575631734
np.sum(convw[1,:]) 2.0343495767272257
np.sum(convw[-1,:]) 2.034349562681954
np.sum(convw[-2,:]) 2.03434956296948
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.13e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.56e-02

--iter:3897, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3897, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834499447711092

---iter: 3897, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.90e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.46e-03
np.sum(convw[0,:]) 2.0343495756319188
np.sum(convw[1,:]) 2.0343495767275908
np.sum(convw[-1,:]) 2.0343495626821384
np.sum(convw[-2,:]) 2.034349562970043
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.39e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.13e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.51e-02

--iter:3898, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3898, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834495400396499

---iter: 3898, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.31e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.20e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.56e-03
np.sum(convw[0,:]) 2.0343495756320884
np.sum(convw[1,:]) 2.0343495767276734
np.sum(convw[-1,:]) 2.034349562682308
np.sum(convw[-2,:]) 2.034349562970206
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.12e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.51e-06
time omega: 1.48e-02

--iter:3899, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3899, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834491353229618

---iter: 3899, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.46e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.58e-03
np.sum(convw[0,:]) 2.034349575632269
np.sum(convw[1,:]) 2.0343495767279913
np.sum(convw[-1,:]) 2.034349562682489
np.sum(convw[-2,:]) 2.034349562970692
residual history in solve_2d: initial residual:  1.01e-09              final residual: 9.99e-11                    delta_phi: 3.39e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.50e-06
time omega: 1.60e-02

--iter:3900, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3900, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834487306672697

---iter: 3900, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.46e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.05e-03
np.sum(convw[0,:]) 2.034349575632439
np.sum(convw[1,:]) 2.034349576728061
np.sum(convw[-1,:]) 2.0343495626826584
np.sum(convw[-2,:]) 2.0343495629708372
residual history in solve_2d: initial residual:  1.01e-09              final residual: 1.00e-10                    delta_phi: 3.35e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.12e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.50e-06
time omega: 1.59e-02

--iter:3901, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3901, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834483260271467

---iter: 3901, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.57e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.25e-03
np.sum(convw[0,:]) 2.034349575632614
np.sum(convw[1,:]) 2.034349576728344
np.sum(convw[-1,:]) 2.034349562682834
np.sum(convw[-2,:]) 2.0343495629712702
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.41e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.15e-10                    delta_phi: 4.12e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.85e-09                    delta_phi: 4.50e-06
time omega: 1.48e-02

--iter:3902, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3902, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834479214338397

---iter: 3902, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.21e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.26e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.43e-03
np.sum(convw[0,:]) 2.034349575632773
np.sum(convw[1,:]) 2.034349576728326
np.sum(convw[-1,:]) 2.0343495626829933
np.sum(convw[-2,:]) 2.0343495629712898
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.38e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.58e-09                    delta_phi: 4.50e-06
time omega: 1.53e-02

--iter:3903, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3903, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834475168776914

---iter: 3903, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.22e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.83e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.58e-03
np.sum(convw[0,:]) 2.0343495756329313
np.sum(convw[1,:]) 2.0343495767284523
np.sum(convw[-1,:]) 2.0343495626831514
np.sum(convw[-2,:]) 2.0343495629715003
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.39e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.50e-06
time omega: 1.56e-02

--iter:3904, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3904, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834471123602166

---iter: 3904, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.31e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.26e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.56e-03
np.sum(convw[0,:]) 2.0343495756331054
np.sum(convw[1,:]) 2.034349576728581
np.sum(convw[-1,:]) 2.0343495626833246
np.sum(convw[-2,:]) 2.034349562971718
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.35e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.87e-09                    delta_phi: 4.50e-06
time omega: 1.56e-02

--iter:3905, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3905, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834467078812365

---iter: 3905, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.06e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.89e-03
np.sum(convw[0,:]) 2.034349575633282
np.sum(convw[1,:]) 2.03434957672887
np.sum(convw[-1,:]) 2.0343495626835013
np.sum(convw[-2,:]) 2.034349562972161
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.39e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.86e-09                    delta_phi: 4.50e-06
time omega: 1.50e-02

--iter:3906, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3906, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834463034395885

---iter: 3906, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.32e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.29e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.78e-03
np.sum(convw[0,:]) 2.0343495756334518
np.sum(convw[1,:]) 2.034349576728962
np.sum(convw[-1,:]) 2.034349562683672
np.sum(convw[-2,:]) 2.034349562972333
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.95e-11                    delta_phi: 4.04e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.88e-05              final residual: 1.58e-09                    delta_phi: 4.50e-06
time omega: 1.58e-02

--iter:3907, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3907, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834458990344963

---iter: 3907, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.32e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.51e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.22e-03
np.sum(convw[0,:]) 2.034349575633275
np.sum(convw[1,:]) 2.0343495767259037
np.sum(convw[-1,:]) 2.034349562683495
np.sum(convw[-2,:]) 2.034349562968102
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.24e-09
time pp: 9.67e-03
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.12e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 1.51e-02

--iter:3908, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3908, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834454946680947

---iter: 3908, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.04e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.20e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.59e-03
np.sum(convw[0,:]) 2.0343495756335663
np.sum(convw[1,:]) 2.0343495767274558
np.sum(convw[-1,:]) 2.0343495626837855
np.sum(convw[-2,:]) 2.034349562970192
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.27e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 1.76e-02

--iter:3909, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3909, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834450903425338

---iter: 3909, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.58e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 1.08e-02
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.51e-03
np.sum(convw[0,:]) 2.0343495756338523
np.sum(convw[1,:]) 2.034349576728224
np.sum(convw[-1,:]) 2.0343495626840715
np.sum(convw[-2,:]) 2.0343495629713866
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.35e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.77e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 1.61e-02

--iter:3910, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.18e-06, eps:0.00e+00


monitor iteration:3910, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834446860446344

---iter: 3910, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 6.48e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 8.63e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.81e-03
np.sum(convw[0,:]) 2.03434957563401
np.sum(convw[1,:]) 2.034349576728381
np.sum(convw[-1,:]) 2.0343495626842296
np.sum(convw[-2,:]) 2.034349562971676
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.38e-09
time pp: 1.50e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.16e-10                    delta_phi: 4.12e-08
time k: 1.35e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.50e-06
time omega: 1.63e-02

--iter:3911, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3911, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834442817953999

---iter: 3911, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 6.30e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.10e-03
np.sum(convw[0,:]) 2.0343495756342183
np.sum(convw[1,:]) 2.0343495767285007
np.sum(convw[-1,:]) 2.034349562684438
np.sum(convw[-2,:]) 2.0343495629718857
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.16e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.50e-06
time omega: 1.58e-02

--iter:3912, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3912, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834438775814255

---iter: 3912, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.47e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.43e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.84e-03
np.sum(convw[0,:]) 2.0343495756343772
np.sum(convw[1,:]) 2.034349576728663
np.sum(convw[-1,:]) 2.034349562684597
np.sum(convw[-2,:]) 2.034349562972155
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.19e-10                    delta_phi: 4.12e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 1.59e-02

--iter:3913, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3913, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834434734013991

---iter: 3913, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.36e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.65e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.47e-03
np.sum(convw[0,:]) 2.034349575634575
np.sum(convw[1,:]) 2.034349576728935
np.sum(convw[-1,:]) 2.034349562684794
np.sum(convw[-2,:]) 2.0343495629725683
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.49e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.16e-10                    delta_phi: 4.12e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.50e-06
time omega: 1.59e-02

--iter:3914, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3914, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834430692635413

---iter: 3914, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.53e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.58e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.85e-03
np.sum(convw[0,:]) 2.0343495756346712
np.sum(convw[1,:]) 2.034349576728497
np.sum(convw[-1,:]) 2.0343495626848913
np.sum(convw[-2,:]) 2.034349562972011
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.33e-09
time pp: 1.15e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.12e-08
time k: 1.35e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.50e-06
time omega: 1.58e-02

--iter:3915, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3915, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834426651606727

---iter: 3915, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.60e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.38e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.67e-03
np.sum(convw[0,:]) 2.034349575634878
np.sum(convw[1,:]) 2.034349576729001
np.sum(convw[-1,:]) 2.034349562685098
np.sum(convw[-2,:]) 2.034349562972728
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.50e-06
time omega: 1.56e-02

--iter:3916, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3916, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834422610980243

---iter: 3916, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.46e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.52e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.64e-03
np.sum(convw[0,:]) 2.0343495756350625
np.sum(convw[1,:]) 2.034349576729271
np.sum(convw[-1,:]) 2.034349562685282
np.sum(convw[-2,:]) 2.034349562973171
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.25e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.87e-09                    delta_phi: 4.50e-06
time omega: 1.62e-02

--iter:3917, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3917, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783441857066082

---iter: 3917, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.40e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.47e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.23e-03
np.sum(convw[0,:]) 2.0343495756352286
np.sum(convw[1,:]) 2.0343495767293955
np.sum(convw[-1,:]) 2.034349562685448
np.sum(convw[-2,:]) 2.0343495629733885
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.41e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 1.67e-02

--iter:3918, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3918, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783441453085226

---iter: 3918, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.54e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.35e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.89e-03
np.sum(convw[0,:]) 2.034349575635384
np.sum(convw[1,:]) 2.03434957672936
np.sum(convw[-1,:]) 2.034349562685603
np.sum(convw[-2,:]) 2.034349562973385
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.87e-09                    delta_phi: 4.50e-06
time omega: 1.54e-02

--iter:3919, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3919, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834410491250043

---iter: 3919, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.79e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.84e-03
np.sum(convw[0,:]) 2.0343495756355647
np.sum(convw[1,:]) 2.0343495767296518
np.sum(convw[-1,:]) 2.0343495626857844
np.sum(convw[-2,:]) 2.034349562973823
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 1.00e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.16e-10                    delta_phi: 4.12e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 1.55e-02

--iter:3920, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3920, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834406452163754

---iter: 3920, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.69e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.76e-03
np.sum(convw[0,:]) 2.0343495756357406
np.sum(convw[1,:]) 2.034349576729823
np.sum(convw[-1,:]) 2.03434956268596
np.sum(convw[-2,:]) 2.034349562974113
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.16e-10                    delta_phi: 4.12e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.50e-06
time omega: 1.53e-02

--iter:3921, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3921, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834402413297593

---iter: 3921, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.35e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.02e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.87e-03
np.sum(convw[0,:]) 2.0343495756359014
np.sum(convw[1,:]) 2.034349576729929
np.sum(convw[-1,:]) 2.0343495626861205
np.sum(convw[-2,:]) 2.0343495629743007
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.12e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.87e-09                    delta_phi: 4.50e-06
time omega: 1.56e-02

--iter:3922, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.31e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3922, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834398375007208

---iter: 3922, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.36e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.27e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.71e-03
np.sum(convw[0,:]) 2.0343495756360674
np.sum(convw[1,:]) 2.0343495767300195
np.sum(convw[-1,:]) 2.034349562686287
np.sum(convw[-2,:]) 2.0343495629744677
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.12e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 1.53e-02

--iter:3923, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3923, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834394336946637

---iter: 3923, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.37e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.20e-03
np.sum(convw[0,:]) 2.0343495756362335
np.sum(convw[1,:]) 2.034349576730165
np.sum(convw[-1,:]) 2.0343495626864536
np.sum(convw[-2,:]) 2.0343495629747084
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.40e-09
time pp: 1.45e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.12e-08
time k: 1.79e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.50e-06
time omega: 2.22e-02

--iter:3924, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3924, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834390299399692

---iter: 3924, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 7.04e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 9.95e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 1.10e-02
np.sum(convw[0,:]) 2.034349575636394
np.sum(convw[1,:]) 2.0343495767301985
np.sum(convw[-1,:]) 2.0343495626866135
np.sum(convw[-2,:]) 2.0343495629747967
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.56e-09
time pp: 1.58e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.12e-08
time k: 1.74e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.84e-09                    delta_phi: 4.49e-06
time omega: 2.30e-02

--iter:3925, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3925, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834386262047978

---iter: 3925, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 7.82e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 9.60e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 1.04e-02
np.sum(convw[0,:]) 2.0343495756364702
np.sum(convw[1,:]) 2.0343495767294537
np.sum(convw[-1,:]) 2.03434956268669
np.sum(convw[-2,:]) 2.034349562973796
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.29e-09
time pp: 1.44e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.15e-10                    delta_phi: 4.11e-08
time k: 1.87e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.87e-09                    delta_phi: 4.49e-06
time omega: 2.26e-02

--iter:3926, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3926, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834382225199939

---iter: 3926, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 7.68e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 1.10e-02
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 1.01e-02
np.sum(convw[0,:]) 2.034349575636696
np.sum(convw[1,:]) 2.0343495767302393
np.sum(convw[-1,:]) 2.0343495626869155
np.sum(convw[-2,:]) 2.0343495629748944
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 1.67e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.91e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.49e-06
time omega: 2.32e-02

--iter:3927, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3927, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783437818871747

---iter: 3927, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 8.13e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 1.20e-02
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 1.08e-02
np.sum(convw[0,:]) 2.0343495756368877
np.sum(convw[1,:]) 2.03434957673046
np.sum(convw[-1,:]) 2.034349562687107
np.sum(convw[-2,:]) 2.0343495629752764
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.46e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.11e-08
time k: 1.80e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.61e-09                    delta_phi: 4.49e-06
time omega: 2.34e-02

--iter:3928, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3928, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834374152579017

---iter: 3928, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 8.00e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 1.06e-02
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.95e-03
np.sum(convw[0,:]) 2.0343495756370444
np.sum(convw[1,:]) 2.0343495767305573
np.sum(convw[-1,:]) 2.0343495626872636
np.sum(convw[-2,:]) 2.034349562975455
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.40e-09
time pp: 1.58e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.81e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.84e-09                    delta_phi: 4.49e-06
time omega: 2.14e-02

--iter:3929, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3929, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834370116901697

---iter: 3929, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 7.59e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 9.54e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 9.86e-03
np.sum(convw[0,:]) 2.034349575637215
np.sum(convw[1,:]) 2.0343495767305857
np.sum(convw[-1,:]) 2.0343495626874346
np.sum(convw[-2,:]) 2.0343495629755335
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.42e-09
time pp: 1.51e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.76e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.49e-06
time omega: 2.10e-02

--iter:3930, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.17e-06, eps:0.00e+00


monitor iteration:3930, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834366081472108

---iter: 3930, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 7.42e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 1.01e-02
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 8.52e-03
np.sum(convw[0,:]) 2.0343495756373566
np.sum(convw[1,:]) 2.0343495767305146
np.sum(convw[-1,:]) 2.034349562687576
np.sum(convw[-2,:]) 2.0343495629754718
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.33e-09
time pp: 1.45e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.18e-10                    delta_phi: 4.11e-08
time k: 1.78e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.49e-06
time omega: 2.09e-02

--iter:3931, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3931, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834362046546585

---iter: 3931, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 7.29e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.46e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.80e-03
np.sum(convw[0,:]) 2.0343495756375556
np.sum(convw[1,:]) 2.0343495767309205
np.sum(convw[-1,:]) 2.0343495626877752
np.sum(convw[-2,:]) 2.034349562976064
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.40e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.43e-06              final residual: 1.16e-10                    delta_phi: 4.11e-08
time k: 1.23e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.86e-09                    delta_phi: 4.49e-06
time omega: 1.55e-02

--iter:3932, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3932, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834358011914852

---iter: 3932, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.08e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.83e-03
np.sum(convw[0,:]) 2.034349575637707
np.sum(convw[1,:]) 2.0343495767308943
np.sum(convw[-1,:]) 2.034349562687926
np.sum(convw[-2,:]) 2.034349562976083
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.35e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.49e-06
time omega: 1.52e-02

--iter:3933, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3933, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834353977696507

---iter: 3933, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.22e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.23e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.21e-03
np.sum(convw[0,:]) 2.0343495756378878
np.sum(convw[1,:]) 2.034349576731171
np.sum(convw[-1,:]) 2.034349562688107
np.sum(convw[-2,:]) 2.0343495629764985
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.39e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.11e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.49e-06
time omega: 1.59e-02

--iter:3934, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3934, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834349943843535

---iter: 3934, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.36e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.33e-03
np.sum(convw[0,:]) 2.034349575638049
np.sum(convw[1,:]) 2.034349576731194
np.sum(convw[-1,:]) 2.034349562688268
np.sum(convw[-2,:]) 2.034349562976579
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.36e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.11e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.49e-06
time omega: 1.50e-02

--iter:3935, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3935, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834345910355152

---iter: 3935, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.14e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.34e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.78e-03
np.sum(convw[0,:]) 2.0343495756382226
np.sum(convw[1,:]) 2.0343495767314272
np.sum(convw[-1,:]) 2.0343495626884422
np.sum(convw[-2,:]) 2.0343495629769355
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.38e-09
time pp: 9.81e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.11e-08
time k: 1.16e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.87e-09                    delta_phi: 4.49e-06
time omega: 1.55e-02

--iter:3936, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3936, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834341877238928

---iter: 3936, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.08e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.51e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.02e-03
np.sum(convw[0,:]) 2.03434957563839
np.sum(convw[1,:]) 2.034349576731505
np.sum(convw[-1,:]) 2.0343495626886092
np.sum(convw[-2,:]) 2.0343495629770887
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.37e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.11e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.60e-09                    delta_phi: 4.49e-06
time omega: 1.49e-02

--iter:3937, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3937, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834337844551956

---iter: 3937, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.11e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.79e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.91e-03
np.sum(convw[0,:]) 2.034349575638556
np.sum(convw[1,:]) 2.0343495767316773
np.sum(convw[-1,:]) 2.0343495626887753
np.sum(convw[-2,:]) 2.0343495629773627
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.39e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.49e-06
time omega: 1.56e-02

--iter:3938, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3938, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078343338121467

---iter: 3938, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.57e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.59e-03
np.sum(convw[0,:]) 2.0343495756387195
np.sum(convw[1,:]) 2.03434957673172
np.sum(convw[-1,:]) 2.0343495626889387
np.sum(convw[-2,:]) 2.034349562977463
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.44e-09
time pp: 1.14e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.84e-09                    delta_phi: 4.49e-06
time omega: 1.55e-02

--iter:3939, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3939, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834329780306022

---iter: 3939, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.40e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.99e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.77e-03
np.sum(convw[0,:]) 2.034349575638849
np.sum(convw[1,:]) 2.0343495767315236
np.sum(convw[-1,:]) 2.0343495626890684
np.sum(convw[-2,:]) 2.0343495629772237
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.36e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.11e-08
time k: 1.25e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.86e-09                    delta_phi: 4.49e-06
time omega: 1.50e-02

--iter:3940, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3940, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834325748583747

---iter: 3940, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.29e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.32e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.28e-03
np.sum(convw[0,:]) 2.034349575639035
np.sum(convw[1,:]) 2.0343495767318265
np.sum(convw[-1,:]) 2.034349562689254
np.sum(convw[-2,:]) 2.0343495629776713
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.36e-09
time pp: 9.95e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.11e-08
time k: 1.15e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.49e-06
time omega: 1.62e-02

--iter:3941, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.55e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3941, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834321717482898

---iter: 3941, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.10e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.39e-03
np.sum(convw[0,:]) 2.034349575639214
np.sum(convw[1,:]) 2.0343495767320516
np.sum(convw[-1,:]) 2.0343495626894335
np.sum(convw[-2,:]) 2.034349562978032
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.37e-09
time pp: 1.00e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.49e-06
time omega: 1.50e-02

--iter:3942, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3942, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834317686494438

---iter: 3942, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.26e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.72e-03
np.sum(convw[0,:]) 2.034349575639383
np.sum(convw[1,:]) 2.034349576732196
np.sum(convw[-1,:]) 2.034349562689602
np.sum(convw[-2,:]) 2.034349562978275
residual history in solve_2d: initial residual:  1.00e-09              final residual: 1.00e-10                    delta_phi: 3.39e-09
time pp: 9.98e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.11e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.49e-06
time omega: 1.50e-02

--iter:3943, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3943, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834313656123369

---iter: 3943, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 5.91e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.03e-03
np.sum(convw[0,:]) 2.0343495756395455
np.sum(convw[1,:]) 2.03434957673225
np.sum(convw[-1,:]) 2.0343495626897647
np.sum(convw[-2,:]) 2.0343495629783885
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.95e-11                    delta_phi: 4.03e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.11e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.86e-09                    delta_phi: 4.49e-06
time omega: 1.47e-02

--iter:3944, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3944, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834309625916386

---iter: 3944, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.16e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.89e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.34e-03
np.sum(convw[0,:]) 2.0343495756393803
np.sum(convw[1,:]) 2.0343495767292454
np.sum(convw[-1,:]) 2.0343495626895995
np.sum(convw[-2,:]) 2.0343495629742288
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.18e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.49e-06
time omega: 1.59e-02

--iter:3945, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3945, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834305596340882

---iter: 3945, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.30e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.41e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.67e-03
np.sum(convw[0,:]) 2.034349575639685
np.sum(convw[1,:]) 2.0343495767310236
np.sum(convw[-1,:]) 2.0343495626899037
np.sum(convw[-2,:]) 2.0343495629766335
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.30e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.49e-06
time omega: 1.54e-02

--iter:3946, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3946, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783430156691102

---iter: 3946, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.95e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.38e-03
np.sum(convw[0,:]) 2.0343495756399577
np.sum(convw[1,:]) 2.034349576731593
np.sum(convw[-1,:]) 2.0343495626901773
np.sum(convw[-2,:]) 2.034349562977563
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.36e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.15e-10                    delta_phi: 4.11e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.49e-06
time omega: 1.55e-02

--iter:3947, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3947, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783429753801031

---iter: 3947, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.23e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.61e-03
np.sum(convw[0,:]) 2.034349575640106
np.sum(convw[1,:]) 2.0343495767316737
np.sum(convw[-1,:]) 2.0343495626903256
np.sum(convw[-2,:]) 2.034349562977739
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.43e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.86e-09                    delta_phi: 4.49e-06
time omega: 1.57e-02

--iter:3948, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3948, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834293509246931

---iter: 3948, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.29e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.38e-03
np.sum(convw[0,:]) 2.034349575640294
np.sum(convw[1,:]) 2.0343495767315214
np.sum(convw[-1,:]) 2.0343495626905135
np.sum(convw[-2,:]) 2.0343495629775656
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.34e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.11e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.48e-06
time omega: 1.51e-02

--iter:3949, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.16e-06, eps:0.00e+00


monitor iteration:3949, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783428948117177

---iter: 3949, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.10e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.64e-03
np.sum(convw[0,:]) 2.0343495756404613
np.sum(convw[1,:]) 2.034349576731839
np.sum(convw[-1,:]) 2.0343495626906805
np.sum(convw[-2,:]) 2.034349562978039
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.97e-11                    delta_phi: 3.51e-09
time pp: 9.88e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.11e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.48e-06
time omega: 1.52e-02

--iter:3950, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3950, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834285453351461

---iter: 3950, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.02e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.0343495756405865
np.sum(convw[1,:]) 2.034349576731324
np.sum(convw[-1,:]) 2.0343495626908057
np.sum(convw[-2,:]) 2.034349562977366
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.30e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.10e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.81e-09                    delta_phi: 4.48e-06
time omega: 1.48e-02

--iter:3951, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3951, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834281425964368

---iter: 3951, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.12e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.75e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.57e-03
np.sum(convw[0,:]) 2.0343495756407766
np.sum(convw[1,:]) 2.03434957673195
np.sum(convw[-1,:]) 2.0343495626909958
np.sum(convw[-2,:]) 2.0343495629782593
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.39e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.84e-09                    delta_phi: 4.48e-06
time omega: 1.54e-02

--iter:3952, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3952, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834277398816308

---iter: 3952, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.24e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.14e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.16e-03
np.sum(convw[0,:]) 2.0343495756409604
np.sum(convw[1,:]) 2.0343495767319624
np.sum(convw[-1,:]) 2.0343495626911796
np.sum(convw[-2,:]) 2.034349562978343
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.10e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.48e-06
time omega: 1.50e-02

--iter:3953, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3953, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834273372182735

---iter: 3953, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.12e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.02e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.61e-03
np.sum(convw[0,:]) 2.0343495756411203
np.sum(convw[1,:]) 2.0343495767322253
np.sum(convw[-1,:]) 2.0343495626913395
np.sum(convw[-2,:]) 2.0343495629787545
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.98e-11                    delta_phi: 3.38e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.86e-09                    delta_phi: 4.48e-06
time omega: 1.56e-02

--iter:3954, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3954, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834269345813165

---iter: 3954, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.46e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.86e-03
np.sum(convw[0,:]) 2.034349575641304
np.sum(convw[1,:]) 2.0343495767322706
np.sum(convw[-1,:]) 2.0343495626915233
np.sum(convw[-2,:]) 2.034349562978865
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.48e-06
time omega: 1.56e-02

--iter:3955, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3955, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783426531989947

---iter: 3955, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.35e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.45e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.08e-03
np.sum(convw[0,:]) 2.0343495756414636
np.sum(convw[1,:]) 2.0343495767324926
np.sum(convw[-1,:]) 2.0343495626916828
np.sum(convw[-2,:]) 2.034349562979221
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.57e-09                    delta_phi: 4.48e-06
time omega: 1.56e-02

--iter:3956, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3956, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834261294304

---iter: 3956, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.50e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.61e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.48e-03
np.sum(convw[0,:]) 2.0343495756416465
np.sum(convw[1,:]) 2.0343495767326067
np.sum(convw[-1,:]) 2.0343495626918657
np.sum(convw[-2,:]) 2.034349562979424
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.59e-09                    delta_phi: 4.48e-06
time omega: 1.75e-02

--iter:3957, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3957, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783425726913041

---iter: 3957, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.49e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.39e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.19e-03
np.sum(convw[0,:]) 2.0343495756418024
np.sum(convw[1,:]) 2.034349576732747
np.sum(convw[-1,:]) 2.034349562692021
np.sum(convw[-2,:]) 2.0343495629796684
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.00e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.34e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.86e-09                    delta_phi: 4.48e-06
time omega: 1.56e-02

--iter:3958, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3958, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834253244303668

---iter: 3958, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.44e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.24e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.58e-03
np.sum(convw[0,:]) 2.0343495756419867
np.sum(convw[1,:]) 2.0343495767329367
np.sum(convw[-1,:]) 2.0343495626922055
np.sum(convw[-2,:]) 2.0343495629799717
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 9.81e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.48e-06
time omega: 1.51e-02

--iter:3959, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3959, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834249219855763

---iter: 3959, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.12e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.04e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.33e-03
np.sum(convw[0,:]) 2.0343495756421444
np.sum(convw[1,:]) 2.0343495767330513
np.sum(convw[-1,:]) 2.0343495626923636
np.sum(convw[-2,:]) 2.034349562980184
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.39e-09
time pp: 9.93e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.18e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.48e-06
time omega: 1.47e-02

--iter:3960, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3960, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834245195791481

---iter: 3960, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 4.97e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.59e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.22e-03
np.sum(convw[0,:]) 2.034349575642304
np.sum(convw[1,:]) 2.0343495767330393
np.sum(convw[-1,:]) 2.034349562692523
np.sum(convw[-2,:]) 2.0343495629802053
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 1.07e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.48e-06
time omega: 1.58e-02

--iter:3961, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.30e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3961, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834241172099066

---iter: 3961, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.10e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.84e-03
np.sum(convw[0,:]) 2.0343495756424694
np.sum(convw[1,:]) 2.034349576733204
np.sum(convw[-1,:]) 2.0343495626926886
np.sum(convw[-2,:]) 2.034349562980477
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.48e-06
time omega: 1.62e-02

--iter:3962, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3962, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783423714879065

---iter: 3962, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.39e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.59e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.75e-03
np.sum(convw[0,:]) 2.0343495756426373
np.sum(convw[1,:]) 2.0343495767332844
np.sum(convw[-1,:]) 2.0343495626928565
np.sum(convw[-2,:]) 2.034349562980631
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.48e-06
time omega: 1.52e-02

--iter:3963, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3963, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834233125844614

---iter: 3963, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.28e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.47e-03
np.sum(convw[0,:]) 2.0343495756428007
np.sum(convw[1,:]) 2.034349576733417
np.sum(convw[-1,:]) 2.03434956269302
np.sum(convw[-2,:]) 2.034349562980861
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.43e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.48e-06
time omega: 1.49e-02

--iter:3964, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3964, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834229103291133

---iter: 3964, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.04e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.43e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.62e-03
np.sum(convw[0,:]) 2.0343495756429415
np.sum(convw[1,:]) 2.0343495767332294
np.sum(convw[-1,:]) 2.0343495626931607
np.sum(convw[-2,:]) 2.03434956298064
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.48e-06
time omega: 1.52e-02

--iter:3965, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3965, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783422508109693

---iter: 3965, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.12e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.65e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.39e-03
np.sum(convw[0,:]) 2.03434957564312
np.sum(convw[1,:]) 2.034349576733523
np.sum(convw[-1,:]) 2.034349562693339
np.sum(convw[-2,:]) 2.034349562981082
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.87e-09                    delta_phi: 4.48e-06
time omega: 1.49e-02

--iter:3966, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3966, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834221059298162

---iter: 3966, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.35e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.90e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.26e-03
np.sum(convw[0,:]) 2.0343495756432888
np.sum(convw[1,:]) 2.034349576733576
np.sum(convw[-1,:]) 2.0343495626935075
np.sum(convw[-2,:]) 2.0343495629812054
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.25e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.57e-09                    delta_phi: 4.48e-06
time omega: 1.57e-02

--iter:3967, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3967, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783421703785518

---iter: 3967, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.36e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.80e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.71e-03
np.sum(convw[0,:]) 2.0343495756434606
np.sum(convw[1,:]) 2.034349576733822
np.sum(convw[-1,:]) 2.0343495626936794
np.sum(convw[-2,:]) 2.034349562981589
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.57e-09                    delta_phi: 4.48e-06
time omega: 1.51e-02

--iter:3968, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3968, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834213016820928

---iter: 3968, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.98e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.33e-03
np.sum(convw[0,:]) 2.0343495756436285
np.sum(convw[1,:]) 2.0343495767338533
np.sum(convw[-1,:]) 2.0343495626938473
np.sum(convw[-2,:]) 2.0343495629816806
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.86e-09                    delta_phi: 4.48e-06
time omega: 1.56e-02

--iter:3969, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.15e-06, eps:0.00e+00


monitor iteration:3969, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783420899612731

---iter: 3969, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.85e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.48e-03
np.sum(convw[0,:]) 2.0343495756437955
np.sum(convw[1,:]) 2.0343495767340505
np.sum(convw[-1,:]) 2.0343495626940147
np.sum(convw[-2,:]) 2.034349562981993
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.39e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.57e-09                    delta_phi: 4.48e-06
time omega: 1.50e-02

--iter:3970, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3970, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783420497584901

---iter: 3970, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.07e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.59e-03
np.sum(convw[0,:]) 2.0343495756439562
np.sum(convw[1,:]) 2.034349576734032
np.sum(convw[-1,:]) 2.0343495626941754
np.sum(convw[-2,:]) 2.0343495629820114
residual history in solve_2d: initial residual:  1.00e-09              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.58e-09                    delta_phi: 4.48e-06
time omega: 1.51e-02

--iter:3971, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3971, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834200955889459

---iter: 3971, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.08e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.74e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.74e-03
np.sum(convw[0,:]) 2.0343495756441152
np.sum(convw[1,:]) 2.0343495767341526
np.sum(convw[-1,:]) 2.0343495626943344
np.sum(convw[-2,:]) 2.0343495629822157
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.42e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.87e-05              final residual: 1.85e-09                    delta_phi: 4.48e-06
time omega: 1.47e-02

--iter:3972, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3972, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834196936358497

---iter: 3972, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.03e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.56e-03
np.sum(convw[0,:]) 2.034349575644264
np.sum(convw[1,:]) 2.034349576734008
np.sum(convw[-1,:]) 2.0343495626944827
np.sum(convw[-2,:]) 2.0343495629820567
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 9.55e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.86e-09                    delta_phi: 4.48e-06
time omega: 1.49e-02

--iter:3973, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3973, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834192917163406

---iter: 3973, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.00e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.12e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.31e-03
np.sum(convw[0,:]) 2.0343495756444305
np.sum(convw[1,:]) 2.0343495767342006
np.sum(convw[-1,:]) 2.0343495626946497
np.sum(convw[-2,:]) 2.0343495629823565
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.98e-11                    delta_phi: 3.45e-09
time pp: 1.02e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.10e-08
time k: 1.30e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.58e-09                    delta_phi: 4.47e-06
time omega: 1.51e-02

--iter:3974, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3974, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834188898395553

---iter: 3974, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.25e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.01e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.03434957564457
np.sum(convw[1,:]) 2.0343495767339554
np.sum(convw[-1,:]) 2.0343495626947887
np.sum(convw[-2,:]) 2.0343495629820616
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.10e-08
time k: 1.22e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.85e-09                    delta_phi: 4.47e-06
time omega: 1.57e-02

--iter:3975, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3975, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783418487993295

---iter: 3975, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.33e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.89e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.53e-03
np.sum(convw[0,:]) 2.0343495756447463
np.sum(convw[1,:]) 2.0343495767342668
np.sum(convw[-1,:]) 2.034349562694965
np.sum(convw[-2,:]) 2.0343495629825235
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.98e-11                    delta_phi: 3.44e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.15e-10                    delta_phi: 4.10e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.55e-02

--iter:3976, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3976, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834180861918741

---iter: 3976, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.35e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.64e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.44e-03
np.sum(convw[0,:]) 2.0343495756448924
np.sum(convw[1,:]) 2.034349576734054
np.sum(convw[-1,:]) 2.034349562695111
np.sum(convw[-2,:]) 2.0343495629822796
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.59e-02

--iter:3977, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3977, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.078341768441936

---iter: 3977, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.47e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.61e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.49e-03
np.sum(convw[0,:]) 2.0343495756450682
np.sum(convw[1,:]) 2.034349576734378
np.sum(convw[-1,:]) 2.034349562695287
np.sum(convw[-2,:]) 2.0343495629827615
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.58e-09                    delta_phi: 4.47e-06
time omega: 1.51e-02

--iter:3978, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3978, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834172826978279

---iter: 3978, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.29e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.68e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.50e-03
np.sum(convw[0,:]) 2.0343495756452494
np.sum(convw[1,:]) 2.034349576734491
np.sum(convw[-1,:]) 2.0343495626954686
np.sum(convw[-2,:]) 2.034349562982971
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.39e-09
time pp: 1.05e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.26e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.86e-09                    delta_phi: 4.47e-06
time omega: 1.46e-02

--iter:3979, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3979, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834168809982431

---iter: 3979, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.17e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.17e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.49e-03
np.sum(convw[0,:]) 2.034349575645396
np.sum(convw[1,:]) 2.0343495767344946
np.sum(convw[-1,:]) 2.0343495626956143
np.sum(convw[-2,:]) 2.034349562983021
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.06e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.13e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.86e-09                    delta_phi: 4.47e-06
time omega: 1.48e-02

--iter:3980, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3980, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834164793518984

---iter: 3980, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.13e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.02e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 5.87e-03
np.sum(convw[0,:]) 2.0343495756455825
np.sum(convw[1,:]) 2.0343495767347086
np.sum(convw[-1,:]) 2.0343495626958017
np.sum(convw[-2,:]) 2.034349562983356
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.98e-11                    delta_phi: 3.41e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.31e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.85e-09                    delta_phi: 4.47e-06
time omega: 1.51e-02

--iter:3981, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3981, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834160777250902

---iter: 3981, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.13e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.43e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.17e-03
np.sum(convw[0,:]) 2.0343495756457197
np.sum(convw[1,:]) 2.034349576734577
np.sum(convw[-1,:]) 2.034349562695939
np.sum(convw[-2,:]) 2.0343495629832224
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.98e-11                    delta_phi: 3.39e-09
time pp: 9.95e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.85e-09                    delta_phi: 4.47e-06
time omega: 1.50e-02

--iter:3982, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3982, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834156761553936

---iter: 3982, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.13e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.62e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.18e-03
np.sum(convw[0,:]) 2.034349575645882
np.sum(convw[1,:]) 2.0343495767346127
np.sum(convw[-1,:]) 2.0343495626961006
np.sum(convw[-2,:]) 2.0343495629833037
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.85e-09                    delta_phi: 4.47e-06
time omega: 1.56e-02

--iter:3983, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3983, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834152746004969

---iter: 3983, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.54e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.51e-03
np.sum(convw[0,:]) 2.0343495756460652
np.sum(convw[1,:]) 2.0343495767349027
np.sum(convw[-1,:]) 2.034349562696284
np.sum(convw[-2,:]) 2.034349562983751
residual history in solve_2d: initial residual:  9.99e-10              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 1.08e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.85e-09                    delta_phi: 4.47e-06
time omega: 1.48e-02

--iter:3984, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3984, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834148731015819

---iter: 3984, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.18e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.62e-03
np.sum(convw[0,:]) 2.034349575646243
np.sum(convw[1,:]) 2.0343495767351003
np.sum(convw[-1,:]) 2.034349562696461
np.sum(convw[-2,:]) 2.034349562984075
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.35e-09
time pp: 9.93e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.40e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.86e-09                    delta_phi: 4.47e-06
time omega: 1.47e-02

--iter:3985, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3985, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834144716346088

---iter: 3985, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.43e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.97e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.38e-03
np.sum(convw[0,:]) 2.0343495756464103
np.sum(convw[1,:]) 2.034349576735231
np.sum(convw[-1,:]) 2.0343495626966286
np.sum(convw[-2,:]) 2.0343495629843047
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.38e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.09e-08
time k: 1.17e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.84e-09                    delta_phi: 4.47e-06
time omega: 1.49e-02

--iter:3986, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3986, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834140702066004

---iter: 3986, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.18e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.91e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.14e-03
np.sum(convw[0,:]) 2.03434957564657
np.sum(convw[1,:]) 2.034349576735258
np.sum(convw[-1,:]) 2.0343495626967885
np.sum(convw[-2,:]) 2.0343495629843855
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.19e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.49e-02

--iter:3987, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3987, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834136688161253

---iter: 3987, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.20e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.32e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.07e-03
np.sum(convw[0,:]) 2.0343495756467345
np.sum(convw[1,:]) 2.0343495767353637
np.sum(convw[-1,:]) 2.034349562696953
np.sum(convw[-2,:]) 2.0343495629845734
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.98e-11                    delta_phi: 3.46e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.21e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.60e-02

--iter:3988, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3988, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834132674614952

---iter: 3988, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.28e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.94e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.95e-03
np.sum(convw[0,:]) 2.0343495756468544
np.sum(convw[1,:]) 2.034349576735009
np.sum(convw[-1,:]) 2.034349562697073
np.sum(convw[-2,:]) 2.0343495629841204
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.33e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.58e-02

--iter:3989, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.14e-06, eps:0.00e+00


monitor iteration:3989, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.0783412866139046

---iter: 3989, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.29e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.36e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.22e-03
np.sum(convw[0,:]) 2.03434957564704
np.sum(convw[1,:]) 2.034349576735381
np.sum(convw[-1,:]) 2.034349562697259
np.sum(convw[-2,:]) 2.034349562984665
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.98e-11                    delta_phi: 3.37e-09
time pp: 1.09e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.58e-09                    delta_phi: 4.47e-06
time omega: 1.49e-02

--iter:3990, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3990, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834124648678299

---iter: 3990, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.29e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.31e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.36e-03
np.sum(convw[0,:]) 2.0343495756472123
np.sum(convw[1,:]) 2.034349576735456
np.sum(convw[-1,:]) 2.0343495626974306
np.sum(convw[-2,:]) 2.0343495629848256
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.36e-09
time pp: 9.96e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.09e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.86e-09                    delta_phi: 4.47e-06
time omega: 1.54e-02

--iter:3991, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3991, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834120636230506

---iter: 3991, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.81e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.77e-03
np.sum(convw[0,:]) 2.0343495756473757
np.sum(convw[1,:]) 2.034349576735606
np.sum(convw[-1,:]) 2.0343495626975945
np.sum(convw[-2,:]) 2.034349562985078
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.37e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.84e-09                    delta_phi: 4.47e-06
time omega: 1.51e-02

--iter:3992, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3992, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834116624164456

---iter: 3992, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.27e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.99e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.45e-03
np.sum(convw[0,:]) 2.034349575647548
np.sum(convw[1,:]) 2.0343495767356874
np.sum(convw[-1,:]) 2.0343495626977663
np.sum(convw[-2,:]) 2.034349562985235
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.34e-09
time pp: 1.04e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.51e-02

--iter:3993, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3993, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834112612578152

---iter: 3993, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.26e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.53e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.51e-03
np.sum(convw[0,:]) 2.0343495756477186
np.sum(convw[1,:]) 2.0343495767359014
np.sum(convw[-1,:]) 2.034349562697937
np.sum(convw[-2,:]) 2.0343495629855757
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.40e-09
time pp: 1.12e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.15e-10                    delta_phi: 4.09e-08
time k: 1.29e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.52e-02

--iter:3994, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3994, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834108601169752

---iter: 3994, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.32e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.50e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.40e-03
np.sum(convw[0,:]) 2.034349575647872
np.sum(convw[1,:]) 2.0343495767358286
np.sum(convw[-1,:]) 2.034349562698091
np.sum(convw[-2,:]) 2.03434956298552
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.99e-11                    delta_phi: 3.33e-09
time pp: 1.03e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.28e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.82e-09                    delta_phi: 4.47e-06
time omega: 1.58e-02

--iter:3995, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3995, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834104590301762

---iter: 3995, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.36e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.82e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.31e-03
np.sum(convw[0,:]) 2.0343495756480503
np.sum(convw[1,:]) 2.034349576736133
np.sum(convw[-1,:]) 2.0343495626982686
np.sum(convw[-2,:]) 2.0343495629859802
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.98e-11                    delta_phi: 3.52e-09
time pp: 9.77e-03
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.57e-09                    delta_phi: 4.47e-06
time omega: 1.59e-02

--iter:3996, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3996, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834100579726609

---iter: 3996, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.23e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 6.45e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 7.24e-03
np.sum(convw[0,:]) 2.034349575648147
np.sum(convw[1,:]) 2.0343495767354716
np.sum(convw[-1,:]) 2.034349562698366
np.sum(convw[-2,:]) 2.0343495629851116
residual history in solve_2d: initial residual:  9.98e-10              final residual: 9.98e-11                    delta_phi: 3.34e-09
time pp: 1.11e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.18e-10                    delta_phi: 4.09e-08
time k: 1.20e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.85e-09                    delta_phi: 4.47e-06
time omega: 1.59e-02

--iter:3997, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3997, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834096569615047

---iter: 3997, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.35e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.06e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.87e-03
np.sum(convw[0,:]) 2.0343495756483265
np.sum(convw[1,:]) 2.0343495767358597
np.sum(convw[-1,:]) 2.0343495626985453
np.sum(convw[-2,:]) 2.034349562985664
residual history in solve_2d: initial residual:  9.97e-10              final residual: 9.98e-11                    delta_phi: 3.41e-09
time pp: 1.10e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.16e-10                    delta_phi: 4.09e-08
time k: 1.27e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.85e-09                    delta_phi: 4.47e-06
time omega: 1.56e-02

--iter:3998, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3998, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834092559767604

---iter: 3998, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.42e-02
residual history in solve_2d: initial residual:  1.93e-03              final residual: 1.93e-03                    delta_phi: 0.00e+00
time u: 7.57e-03
residual history in solve_2d: initial residual:  1.10e-03              final residual: 1.10e-03                    delta_phi: 0.00e+00
time v: 6.90e-03
np.sum(convw[0,:]) 2.0343495756484926
np.sum(convw[1,:]) 2.034349576735782
np.sum(convw[-1,:]) 2.0343495626987114
np.sum(convw[-2,:]) 2.034349562985616
residual history in solve_2d: initial residual:  9.97e-10              final residual: 9.98e-11                    delta_phi: 3.34e-09
time pp: 1.01e-02
residual history in solve_2d: initial residual:  1.42e-06              final residual: 1.17e-10                    delta_phi: 4.09e-08
time k: 1.24e-02
residual history in solve_2d: initial residual:  1.86e-05              final residual: 1.58e-09                    delta_phi: 4.46e-06
time omega: 1.53e-02

--iter:3999, max residual:6.37e-04, u:6.37e-04, v:3.62e-04, cont:3.29e-10, k:1.54e-07, om:6.13e-06, eps:0.00e+00


monitor iteration:3999, u: 8.24e-01, v: 1.15e-02, p: 9.47e-03, k: 3.33e-02, om: 1.91e+01, eps: 1.00e-10

kmax 0.07834088550422828

---iter: 3999, umax: 1.13e+00, vismax: 3.89e+02, kmin: 4.05e-08, ommin: 7.56e-01, epsmmin: 1.00e-10

time one iteration: 5.32e-02
save_data called
program reached normal stop
1768.76user 40.22system 3:46.57elapsed 798%CPU (0avgtext+0avgdata 122576maxresident)k
6872inputs+13328outputs (38major+25228124minor)pagefaults 0swaps
