def sum_scan(filename, ):
"""
Scan a sum file for specific variables.
Parameters
----------
filename : string
The file to scan.
Returns
-------
out : dict
A dictionary of values identified.
"""
# Currently this routine only searches for 'clockwise'.
out = dict()
with open(checkname(filename, ['.sum', '.SUM']), 'r') as infl:
for ln in infl:
ln = ln.lower()
if 'clockwise' in ln.lower():
v = ln.split()[0]
if v in ['t', 'y']:
out['clockwise'] = True
else:
out['clockwise'] = False
return out
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 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