def do_run(in_fields=None,params_in={}):
if in_fields is not None:
RUN_OPT = 1
else:
RUN_OPT = 0
if len(params_in)>0:
warnings.warn('params_in input being ignored - no input arrays')
run_dict = {0: 'old version (no in/out)',
1: 'in/out'}
print("###################################################")
print("Run option:")
print(" "+str(RUN_OPT)+' : '+run_dict[RUN_OPT])
print("###################################################")
# check directories for outputs exist
if (RUN_OPT == 0):
outdir = 'out_py'
else:
outdir = 'out_py_io_1'
dirs = [outdir,
outdir+'/diagnostics',
outdir+'/diagnostics/local',
outdir+'/diagnostics/global',
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 dirj in dirs:
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)
if RUN_OPT == 0:
# run the non-IO WIM
# (can still specify parameters in infile_nonIO.txt)
print(" ")
print("Running WIM without input/output")
print("###################################################")
print(" ")
Fwim.py_wim2d_run()
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_run:")
print("###################################################")
print(" ")
# load results from binary files
return Fdat.wim_results(outdir)
# out_fields = Fdat.fn_check_out_bin(outdir+'/binaries')
else:
# 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)
if 0:
print(params_in)
print(param_dict)
print(param_vec)
sys.exit()
if in_fields is not None:
# 'in_fields' is given as input
# - put data into 'in_arrays':
keys = ['icec','iceh','dfloe','Hs','Tp','mwd']
nx,ny = in_fields[keys[0]].shape
in_arrays = np.zeros((nx,ny,6))
n = 0
for key in keys:
in_arrays[:,:,n] = in_fields[key]
n = n+1
del in_fields
elif 0:
# 'in_fields' not given as input
# - read in inputs from saved files:
in_dir = 'out_py/binaries'
grid_prams = Fdat.fn_check_grid(in_dir)
ice_fields,wave_fields = Fdat.fn_check_init(in_dir)
# merge ice and wave fields:
ice_fields.update(wave_fields)
in_fields = ice_fields
del wave_fields
# put data into 'in_arrays':
keys = ['icec','iceh','dfloe','Hs','Tp','mwd']
nx,ny = in_fields[keys[0]].shape
in_arrays = np.zeros((nx,ny,6))
n = 0
for key in keys:
in_arrays[:,:,n] = in_fields[key]
n = n+1
del in_fields,ice_fields
elif 1:
# 'in_fields' not given as input
# - specify 'in_arrays' manually
in_dir = 'out/binaries'
grid_prams = Fdat.fn_check_grid(in_dir)
n = grid_prams['nx']
ny = grid_prams['ny']
X = grid_prams['X']
Y = grid_prams['Y']
LANDMASK = grid_prams['LANDMASK']
xmin = X.min()
xmax = X.max()
# set ice conc/thickness
ICE_MASK = np.zeros((nx,ny))
ICE_MASK[np.logical_and(X>0.7*xmin,LANDMASK<1)] = 1 # i>=24
icec = 0.75*ICE_MASK
iceh = 2.0*ICE_MASK
dfloe = 250*ICE_MASK
# set wave fields
WAVE_MASK = np.zeros((nx,ny))
WAVE_MASK[X<xmin*0.8] = 1 # i<=15
Hs = 2.0*WAVE_MASK
Tp = 12.0*WAVE_MASK
mwd = -90.0*WAVE_MASK
in_arrays[:,:,0] = icec
in_arrays[:,:,1] = iceh
in_arrays[:,:,2] = dfloe
in_arrays[:,:,3] = Hs
in_arrays[:,:,4] = Tp
in_arrays[:,:,5] = mwd
# run the WIM
print(" ")
print("###################################################")
print("Running WIM with input/output")
print("###################################################")
print(" ")
out_arrays = Fwim.py_wim2d_run_io(in_arrays,param_vec)
os.remove(ifd_name)
print(" ")
print("###################################################")
print("Finished call to wim2d_run_io:")
print("###################################################")
print(" ")
# 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[:,:,4]
# convert out_arrays to dictionary
out_fields = Fdat.fn_check_out_arr(out_arrays)
del out_arrays
return out_fields,Fdat.wim_results(outdir)
