def add_phase_dist(self, tsr, rho, tmax):
# tsr.cohere = pyts.cohereModels.main.none()
tsr.cohere = pyts.cohereModels.main.nwtc()
tsr.stress = pyts.stressModels.main.uniform(0,0,0)
tsr.phase = Rinker(rho, self.mu)
cg = tsr.grid
tsr.grid = tsGrid(center=cg.center, ny=cg.n_y, nz=cg.n_z,
height=cg.height, width=cg.width,
time_sec=tmax, dt=cg.dt)
return tsr
def add_phase_dist(self, tsr, rho, tmax):
# tsr.cohere = pyts.cohereModels.main.none()
tsr.cohere = pyts.cohereModels.main.nwtc()
tsr.stress = pyts.stressModels.main.uniform(0, 0, 0)
tsr.phase = Rinker(rho, self.mu)
cg = tsr.grid
tsr.grid = tsGrid(center=cg.center,
ny=cg.n_y,
nz=cg.n_z,
height=cg.height,
width=cg.width,
time_sec=tmax,
dt=cg.dt)
return tsr
def turbsim(fname):
"""
Read TurbSim format (.bts) full-field time-series binary
data files.
Parameters
----------
fname : str
The filename from which to read the data.
Returns
-------
tsdata : :class:`tsdata <pyts.main.tsdata>`
The TurbSim data contained in the binary data file.
"""
fname = checkname(fname, ['.bts'])
u_scl = np.zeros(3, np.float32)
u_off = np.zeros(3, np.float32)
# fl = file(fname, 'rb')
fl = open(fname, 'rb')
(junk, n_z, n_y, n_tower, n_t, dz, dy, dt, uhub, zhub, z0, u_scl[0],
u_off[0], u_scl[1], u_off[1], u_scl[2], u_off[2],
strlen) = unpack(e + 'h4l12fl', fl.read(70))
center = z0 + (n_z - 1) * dz / 2.0
#print fname, u_scl, u_off
desc_str = fl.read(strlen) # skip these bytes.
nbt = 3 * n_y * n_z * n_t
dat = np.rollaxis(
np.fromstring(fl.read(2 * nbt), dtype=np.int16).astype(
np.float32).reshape([3, n_y, n_z, n_t], order='F'), 2, 1)
dat -= u_off[:, None, None, None]
dat /= u_scl[:, None, None, None]
# Create the tsdata object.
grid = tsGrid(
center=center,
ny=n_y,
nz=n_z,
dy=dy,
dz=dz,
dt=dt,
nt=n_t,
)
out = tsdata(grid)
out.uprof = dat.mean(-1)
out.uturb = dat - out.uprof[:, :, :, None]
return out
def run2():
tsinput = ptsin.read(fname)
tsinput['URef'] = 16.0
tsr = ptsm.cfg2tsrun(tsinput)
tsr.cohere = pyts.cohereModels.main.nwtc()
tsr.stress = pyts.stressModels.main.uniform(0,0,0)
rho = 0.5
tmax = 50.0
tsr.phase = Rinker(rho, np.pi) ### pgraf turned it off for testing!
cg = tsr.grid
tsr.grid = tsGrid(center=cg.center, ny=cg.n_y, nz=cg.n_z,
height=cg.height, width=cg.width,
time_sec=tmax, dt=cg.dt)
tm0 = time.time()
tsdata = tsr() ## actually runs turbsim
ptsm.write(tsdata, tsinput, fname=outname+"2")
print('TurbSim exited normally, runtime was %g seconds' % (time.time() - tm0))
def run2():
tsinput = ptsin.read(fname)
tsinput['URef'] = 16.0
tsr = ptsm.cfg2tsrun(tsinput)
tsr.cohere = pyts.cohereModels.main.nwtc()
tsr.stress = pyts.stressModels.main.uniform(0, 0, 0)
rho = 0.5
tmax = 50.0
tsr.phase = Rinker(rho, np.pi) ### pgraf turned it off for testing!
cg = tsr.grid
tsr.grid = tsGrid(center=cg.center,
ny=cg.n_y,
nz=cg.n_z,
height=cg.height,
width=cg.width,
time_sec=tmax,
dt=cg.dt)
tm0 = time.time()
tsdata = tsr() ## actually runs turbsim
ptsm.write(tsdata, tsinput, fname=outname + "2")
print('TurbSim exited normally, runtime was %g seconds' %
(time.time() - tm0))
### the random seed:
### bug somewhere in complicated pyts use of numpy (only when called inside multiprocessing)
### Success via cutting out the middle man!:
if rs is None:
tsr.randgen.seed(tsr.RandSeed)
else:
tsr.randgen.seed(rs) ## this does nothing!
np.random.seed(rs) ### this does the trick!
###tsr = self.add_phase_dist(tsr, rho, tmax)
tsr.cohere = pyts.cohereModels.main.nwtc()
tsr.stress = pyts.stressModels.main.uniform(0,0,0)
tsr.phase = Rinker(rho, np.pi)
cg = tsr.grid
tsr.grid = tsGrid(center=cg.center, ny=cg.n_y, nz=cg.n_z,
height=cg.height, width=cg.width,
time_sec=tmax, dt=cg.dt)
tsdata = tsr() ## actually runs turbsim
ptsm.write(tsdata, tsinput, fname=tsoutname)
# here we provide the means to link turbsim to fast:
self.tswind_file = tsoutname
self.tswind_dir = run_dir
if __name__ == "__main__":
case_inputs = {}
case_inputs[("TMax")] = {'vals':[10.], 'group':0}
case_inputs[("Vhub")] = {'vals':[10., 11., 12.], 'group':1}
case_inputs[("Rho")] = {'vals':[.2, .25, .3], 'group':1}
def bladed(fname, ):
"""
Read Bladed format (.wnd, .bl) full-field time-series binary data files.
Parameters
----------
fname : str
The filename from which to read the data.
Returns
-------
tsdata : :class:`tsdata <pyts.main.tsdata>`
The TurbSim data contained in the binary data file.
"""
fname = checkname(fname, ['.wnd', '.bl'])
with file(fname, 'rb') as fl:
junk, nffc, ncomp, lat, z0, center = unpack(e + '2hl3f', fl.read(20))
if junk != -99 or nffc != 4:
raise IOError(
"The file %s does not appear to be a valid 'bladed (.bts)' format file."
% fname)
ti = np.array(unpack(e + '3f', fl.read(12))) / 100
dz, dy, dx, n_f, uhub = unpack(e + '3flf', fl.read(20))
n_t = int(2 * n_f)
fl.seek(12, 1) # Unused bytes
clockwise, randseed, n_z, n_y = unpack(e + '4l', fl.read(16))
fl.seek(24, 1) # Unused bytes
nbt = ncomp * n_y * n_z * n_t
dat = np.rollaxis(
np.fromstring(fl.read(2 * nbt), dtype=np.int16).astype(
np.float32).reshape([ncomp, n_y, n_z, n_t], order='F'), 2, 1)
dat[0] += 1000.0 / ti[0]
dat /= 1000. / (uhub * ti[:, None, None, None])
# Create the grid object:
dt = dx / uhub
# Determine the clockwise value.
if clockwise == 0:
try:
d = sum_scan(convname(fname, '.sum'))
clockwise = d['clockwise']
except IOError:
warn("Value of 'CLOCKWISE' not specified in binary file, "
"and no .sum file found. Assuming CLOCKWISE = True.")
clockwise = True
except KeyError:
warn("Value of 'CLOCKWISE' not specified in binary file, "
"and %s has no line containing 'clockwise'. Assuming "
"CLOCKWISE = True." % convname(fname, '.sum'))
clockwise = True
else:
clockwise = bool(clockwise - 1)
if clockwise:
# flip the data back
dat = dat[:, :, ::-1, :]
# Create the tsdata object.
grid = tsGrid(center=center,
ny=n_y,
nz=n_z,
dy=dy,
dz=dz,
dt=dt,
nt=n_t,
clockwise=clockwise)
out = tsdata(grid)
out.uprof = dat.mean(-1)
out.uturb = dat - out.uprof[:, :, :, None]
return out