ny = int(lin.split()[0])
lin = bf.readline() # OPT
OPT = int(lin.split()[0])
bf.close()
# open .a file to get data:
basename = bfil[:-2]
afil = odir+'/'+basename+'.a'
aid = open(afil,'rb')
X = Fdat.get_array(aid,nx,ny)
Y = Fdat.get_array(aid,nx,ny)
h = Fdat.get_array(aid,nx,ny) # advected quantity
aid.close()
# plot and save figure
fig = Fplt.cmap_3d(X/1.e3,Y/1.e3,h,['$x$, km','$y$, km','h'])
#############################################################
# plot test curves on top
# - get some parameters from X,Y
dx = X[1,0]-X[0,0]
dy = Y[0,1]-Y[0,0]
x0 = X.min()
y0 = Y.min()
xm = .5*(X.max()-x0)
ym = .5*(Y.max()-y0)
xx = X[:,0]
yy = Y[0,:]
n = int(basename[-3:])
#############################################################
def grid_setup(GRID_OPT=1,LAND_OPT=0):
outdir = '.' # wim_grid.[a,b] saved here
outdir2 = '.' # wave_info.h,grid_info.h saved here
dd = os.path.abspath(".")
dd2 = dd+'/'+outdir
print('\n')
print("Saving grid files to:")
print(dd2)
print('\n')
if not (os.path.exists(dd2)):
os.makedirs(dd2)
###########################################################
###########################################################
# set grid configurations
if type(GRID_OPT)==type('string'):
# read in parameters from infile
infile = GRID_OPT
print('using infile '+infile+' for parameters\n')
fid = open(infile)
lines = fid.readlines()
fid.close()
# check version number
Vno = 1
vno = int(lines[0].split()[0])
if vno!=Vno:
s1 = '\nWrong version of '+infile
s2 = '\nCurrent version number is '+str(vno)
s3 = '\nVersion number should be '+str(Vno)+'\n'
raise ValueError(s1+s2+s3)
# get values as floats 1st, then convert some to integers
params = []
for lin in lines[1:]:
lin2 = lin.split()
params.append(float(lin2[0]))
nx,ny,dx,dy,x0,y0,LAND_OPT = params
# convert some parameters to integers
nx = int(nx)
ny = int(ny)
LAND_OPT = int(LAND_OPT)
#
grid_arrays,grid_fields = get_grid_arrays(x0=x0,y0=y0,nx=nx,ny=ny,\
dx=dx,dy=dy,LAND_OPT=LAND_OPT)
elif GRID_OPT is 0:
# standard 1d setup:
nx = 150
ny = 4
dx = 4.0e3
dy = 10*dx # to make plots clearer
x0 = 0.
y0 = 0.
#
grid_arrays,grid_fields = get_grid_arrays(x0=x0,y0=y0,nx=nx,ny=ny,\
dx=dx,dy=dy,LAND_OPT=LAND_OPT)
elif GRID_OPT is 1:
# standard 2d setup:
nx = 150
ny = 50
dx = 4.0e3
dy = 4.0e3
x0 = 0.
y0 = 0.
#
grid_arrays,grid_fields = get_grid_arrays(x0=x0,y0=y0,nx=nx,ny=ny,\
dx=dx,dy=dy,LAND_OPT=LAND_OPT)
elif GRID_OPT is 2:
# to use with Philipp's "small-square" grid
diag_length = 96e3 # m
resolution = 0.75e3 # m
# this gives a rotated (x',y') grid to align with the sides of the square
grid_arrays,grid_fields = _get_grid_arrays_SmallSquare(diag_length,resolution)
#
nx = grid_fields['nx']
ny = grid_fields['ny']
dx = grid_fields['dx']
dy = grid_fields['dy']
print('nx = '+str(nx))
print('ny = '+str(ny))
print('dx = '+str(dx/1.e3)+'km')
print('dy = '+str(dy/1.e3)+'km')
###########################################################
###########################################################
print(' ')
print(60*'*')
gs.save_grid_info_hdr_f2py(outdir2,nx,ny,dx,dy)
gs.save_grid_f2py(outdir,grid_arrays)
print(60*'*')
print(' ')
###########################################################
###########################################################
if 0:
# check difference between binaries
# saved by pure fortran and f2py:
outdir1 = 'test/out' # fortran binaries here
# run grid_setup.sh with
# testing=1 in p_save_grid.F (recompile)
gf1 = Fdat.fn_check_grid(outdir1)
gf2 = Fdat.fn_check_grid(outdir)
keys = ['X','Y','scuy','scvx','scp2','scp2i','LANDMASK']
print('Comparing fortran to python:\n')
for key in keys:
diff = np.abs(gf1[key]-gf2[key])
diff_max = diff.max()
diff_min = diff.min()
print('max difference in : '+key+' = '+str(diff_max))
print('min difference in : '+key+' = '+str(diff_min)+'\n')
elif 1:
# check difference between binaries
# saved by f2py and the input fields:
gf = grid_fields
gf2 = Fdat.fn_check_grid(outdir)
keys = ['X','Y','scuy','scvx','scp2','scp2i','LANDMASK']
print('Comparing python in to python out:\n')
for key in keys:
diff = np.abs(gf[key]-gf2[key])
diff_max = diff.max()
diff_min = diff.min()
print('max difference in : '+key+' = '+str(diff_max))
print('min difference in : '+key+' = '+str(diff_min)+'\n')
###########################################################
###########################################################
SV_FIG = 1
if SV_FIG:
from matplotlib import pyplot as plt
# save test figure:
if not os.path.exists('out_py'):
os.mkdir('out_py')
fig = 'out_py/land.png'
#
gf = grid_fields
nx = gf['nx']
ny = gf['ny']
dx = gf['dx']
dy = gf['dy']
x = gf['X'][:,0]+dx/2.
x = np.concatenate([[x[0]-dx],x])/1.e3
y = gf['Y'][0,:]+dy/2.
y = np.concatenate([[y[0]-dy],y])/1.e3
if gf['ny']>1:
# 2d grid => make colormap of LANDMASK
z = gf['LANDMASK'].transpose()
f,ax = Fplt.cmap_3d(x,y,z,['$x$, km','$y$, km','LANDMASK'])
else:
# 1d grid => make 1d plot of LANDMASK
f,ax,line = Fplt.plot_1d(gf['X'][:,0]/1.0e3,gf['LANDMASK'][:,0],\
labs=['$x$, km','LANDMASK'])
print('Saving test figure : '+fig)
f.savefig(fig,bbox_inches='tight',pad_inches=0.05)
plt.close(f)
###########################################################
###########################################################
# print(' ')
# print(60*'*')
# print("Now compile WIM code in .Build")
# print("Run in ..")
# print(60*'*')
# print(' ')
###########################################################
return grid_fields,grid_arrays
def do_run_vSdir(sdf_dir=None,
wave_fields=None,ice_fields=None,
params_in={},mesh_e=None):
dd = os.path.abspath("..")
sys.path.append(dd+"/bin")
sys.path.append(dd+"/py_funs")
RUN_OPT = 0
run_dict = {
0: 'run "vSdir", passing directional spectrum in/out'}
print("###################################################")
print("Run option:")
print(" "+str(RUN_OPT)+' : '+run_dict[RUN_OPT])
print("###################################################")
TEST_IN_SPEC = 0 # check Hs,Tp,mwd calc'd from input spec
TEST_OUT_SPEC = 0 # check Hs,Tp calc'd from output spec
# check directories for outputs exist
if mesh_e is None:
outdir = 'out_py_io_2'
else:
outdir = 'out_py_io_3'
dirs = [outdir,
outdir+'/diagnostics',
outdir+'/diagnostics/global',
outdir+'/diagnostics/local',
outdir+'/binaries',
outdir+'/binaries/prog']
# tell fortran where to save the outputs
ifd_name = 'infile_dirs.txt'
fid = open(ifd_name,'w')
fid.write('grid\n')
fid.write(outdir+'\n')
fid.close()
for j in range(0,len(dirs)):
dirj = dirs[j]
if not os.path.exists(dirj):
os.makedirs(dirj)
# clear out old progress files
dd = os.path.abspath(outdir+"/binaries/prog")
files = os.listdir(dd)
for f in files:
os.remove(dd+"/"+f)
# run wim2d with inputs and outputs
param_dict = default_params()
for key in params_in:
if key not in param_dict:
raise ValueError('Parameter '+key+'invalid')
else:
param_dict[key] = params_in[key]
param_vec = param_dict2vec(param_dict)
# dimensions of grid
nx,ny,nfreq,ndir = Fwim.wim2d_dimensions()
freq_vec = Fwim.wim2d_freq_vec(nfreq)
if ice_fields is not None:
# 'ice_fields' is given as input
# - put data into 'ice_arrays':
keys = ['icec','iceh','dfloe']
ice_arrays = np.zeros((nx,ny,len(keys)))
n = 0
for key in keys:
ice_arrays[:,:,n] = ice_fields[key]
n = n+1
del ice_fields
else:
raise ValueError("No 'ice_fields' input")
if sdf_dir is None:
if wave_fields is not None:
# 'wave_fields' is given as input
# instead of sdf_dir
Hs = wave_fields['Hs']
Tp = wave_fields['Tp']
mwd = wave_fields['mwd']
#
Tmean = np.mean(Tp [Hs>0])
dir_mean = np.mean(mwd[Hs>0])
if nfreq==1:
# check only 1 freq
stdev = np.std( Tp[Hs>0])
if stdev/Tmean>1.e-3:
print('Expected one frequency, but')
print('std dev (Tp) = '+str(stdev)+'s')
print('mean (Tp) = '+str(Tmean) +'s')
raise ValueError('Tp array not consistent with 1 frequency')
if ndir==1:
# check only 1 dir
stdev = np.std (mwd[Hs>0])
if stdev/dir_mean>1.e-3:
print('Expected one direction, but')
print('std dev (mwd) = '+str(stdev)+'degrees')
print('mean (mwd) = '+str(dir_mean) +'degrees')
raise ValueError('mwd array not consistent with 1 direction')
sdf_dir = np.zeros((nx,ny,ndir,nfreq))
PI = np.pi
for i in range(nx):
for j in range(ny):
if Hs[i,j]>0:
if nfreq==1:
# use single freq formula: S=A^2/2
sdf_dir[i,j,:,:] = pow(Hs[i,j]/4.0,2)
else:
# use Bretschneider
for w in range(nfreq):
om = 2*PI*freq_vec[w]
sdf_dir[i,j,:,w] = Fmisc.SDF_Bretschneider(om)
if ndir>1:
theta_max = 90.0
theta_min = -270.0
dtheta = (theta_min-theta_max)/float(ndir) #<0
wavdir = theta_max+np.arange(ndir)*dtheta
# modify spectrum depending on direction
D2R = np.pi/180.
# test_sum = 0.
# test_sum_ = 0.
for wth in range(ndir):
theta_fac_ = Fmisc.theta_dirfrac(wavdir[wth]-.5*abs(dtheta),abs(dtheta),mwd[i,j])/abs(D2R*dtheta)
# chi = PI/180.0*(wavdir[wth]-mwd[i,j])
# if (np.cos(chi)>0.0):
# theta_fac = 2.0/PI*pow(np.cos(chi),2)
# else:
# theta_fac = 0.0
sdf_dir[i,j,wth,:] = sdf_dir[i,j,wth,:]*theta_fac_
# test_sum += theta_fac_
# test_sum_ += theta_fac_
# print(wavdir[wth],wavdir[wth]-.5*abs(dtheta),dtheta,mwd[i,j],theta_fac,theta_fac_)
# print(test_sum*abs(dtheta),test_sum_*abs(dtheta))
# sys.exit()
if 0:
# test spectrum is defined OK
sq = np.squeeze(sdf_dir[i,j,:,0])
m0 = np.sum(sq)*abs((PI/180.)*dtheta)
print(i,j)
print(4*np.sqrt(m0),Hs[i,j])
#
plt.plot(wavdir/180.,sq)
plt.show()
#
sys.exit()
if TEST_IN_SPEC:
# test integrals of spectrum are the same as intended:
print('Testing input spectrum...')
wave_fields2 = {'Hs':0,'Tp':0,'mwd':0}
if nfreq==1:
freq_vec_ = np.array([1./Tp_single_freq])
else:
freq_vec_ = freq_vec
if ndir==1:
wavdir_ = np.array([mwd_single_dir])
else:
wavdir_ = wavdir
(wave_fields2['Hs'],
wave_fields2['Tp'],
wave_fields2['mwd']
) = Fmisc.spectrum_integrals(
sdf_dir,freq_vec_,wavdir_)
arrays = [wave_fields2,wave_fields]
keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
sys.exit()
del wave_fields # finished setting sdf_dir from wave_fields
else:
raise ValueError("No wave inputs (need 'sdf_dir' or 'wave_fields')")
# now run the WIM
print(" ")
print("###################################################")
print("Running WIM with sdf_dir inputted")
print("###################################################")
print(" ")
sdf_dir = sdf_dir.reshape(sdf_dir.size,order='fortran')
sdf_dir = np.array(sdf_dir,dtype='float32')
print(param_vec)
if mesh_e is None:
sdf_dir2,out_arrays = Fwim.py_wim2d_run_vsdir(
sdf_dir,ice_arrays,param_vec,ndir,nfreq)
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_vSdir:")
print("###################################################")
print(" ")
else:
# mesh_e=dictionary with keys ['x','y','conc','thick','Nfloes','broken']
# > convert this to array
nmesh_vars = len(mesh_e)
mesh_arr = mesh_dict2arr(mesh_e,inverse=False)
nmesh_e = len(mesh_arr[:,0])
# print(mesh_arr.transpose())
# sys.exit()
# reshape array to a vector
mesh_arr = mesh_arr.reshape(
(nmesh_e*nmesh_vars,),order='fortran')
# run WIM, with interpolation of Nfloes onto the mesh
out = Fwim.py_wim2d_run_vsdir_mesh(
sdf_dir,ice_arrays,mesh_arr,
param_vec,ndir,nfreq,nmesh_e)
sdf_dir2,out_arrays,mesh_arr = out
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_vSdir_mesh:")
print("###################################################")
print(" ")
mesh_arr = mesh_arr.reshape((nmesh_e,nmesh_vars),order='fortran')
mesh_e = mesh_dict2arr(mesh_arr,inverse=True)
# print(mesh_arr.transpose())
sdf_dir2 = sdf_dir2.reshape((nx,ny,ndir,nfreq),order='fortran')
# Dmax = out_arrays[:,:,0]
# Hs = out_arrays[:,:,1]
# Tp = out_arrays[:,:,2]
# tau_x = out_arrays[:,:,3]
# tau_y = out_arrays[:,:,4]
# mwd = out_arrays[:,:,5]
# convert out_arrays to dictionary
out_fields = Fdat.fn_check_out_arr(out_arrays)
del out_arrays
if TEST_OUT_SPEC:
# test integrals of spectrum are the same as intended:
print('Testing integrals of output spectrum...')
wave_fields2 = {'Hs':0,'Tp':0,'mwd':0}
if nfreq==1:
Tp_single_freq = param_dict['T_init']
freq_vec_ = np.array([1./Tp_single_freq])
else:
freq_vec_ = freq_vec
if ndir==1:
mwd_single_dir = param_dict['mwd_init']
wavdir_ = np.array([mwd_single_dir])
else:
wavdir_ = wavdir
(wave_fields2['Hs'],
wave_fields2['Tp'],
wave_fields2['mwd']
) = Fmisc.spectrum_integrals(
sdf_dir2,freq_vec_,wavdir_)
arrays = [wave_fields2,out_fields]
keys = ['Hs','Tp']
# keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
if 1:
# plot Tp for visual comparison
# - small differences?
gf = Fdat.fn_check_grid('inputs')
labs = ['$x$, km','$y$, km', '$T_p$, s']
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
wave_fields2['Tp'],
labs)
f.show()
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
out_fields['Tp'],
labs)
f.show()
if 0:
# plot Hs for visual comparison
gf = Fdat.fn_check_grid('inputs')
labs = ['$x$, km','$y$, km', '$H_s$, m']
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
wave_fields2['Hs'],
labs)
f.show()
#
f = Fplt.cmap_3d(
gf['X']/1.e3,
gf['Y']/1.e3,
out_fields['Hs'],
labs)
f.show()
sys.exit()
elif 0:
# test out_fields are the same as in the binary files
print('Testing output fields against binary files...')
arrays = 2*[1]
arrays[0] = out_fields
arrays[1] = Fdat.fn_check_out_bin('out_2/binaries')
keys = arrays[0].keys()
for key in keys:
print('Comparing field: '+key)
diff = abs(arrays[0][key]-arrays[1][key])
print('Maximum difference = '+str(np.max(diff))+'\n')
sys.exit()
return out_fields,Fdat.wim_results(outdir),mesh_e
