def iter_output(files, *arrays):
"""Given an iterable of the solution files, this loads the files, and
yields the solver data and the requested arrays.
If arrays is not supplied, it returns a dictionary of the arrays.
Parameters
----------
files : iterable
Iterates over the list of desired files
*arrays : strings
Optional series of array names of arrays to return.
Examples
--------
>>> files = get_files('elliptical_drop_output')
>>> for solver_data, arrays in iter_output(files):
... print(solver_data['t'], arrays.keys())
>>> files = get_files('elliptical_drop_output')
>>> for solver_data, fluid in iter_output(files, 'fluid'):
... print(solver_data['t'], fluid.name)
"""
for file in files:
data = load(file)
solver_data = data['solver_data']
if len(arrays) == 0:
yield solver_data, data['arrays']
else:
_arrays = [data['arrays'][x] for x in arrays]
yield [solver_data] + _arrays
def load_and_concatenate(prefix, nprocs=1, directory=".", count=None):
"""Load the results from multiple files.
Given a filename prefix and the number of processors, return a
concatenated version of the dictionary returned via load.
Parameters
----------
prefix : str
A filename prefix for the output file.
nprocs : int
The number of processors (files) to read
directory : str
The directory for the files
count : int
The file iteration count to read. If None, the last available
one is read
"""
if count is None:
counts = [
i.rsplit('_', 1)[1][:-4] for i in os.listdir(directory)
if i.startswith(prefix) and i.endswith('.npz')
]
counts = sorted([int(i) for i in counts])
count = counts[-1]
arrays_by_rank = {}
for rank in range(nprocs):
fname = os.path.join(
directory, prefix + '_' + str(rank) + '_' + str(count) + '.npz')
data = load(fname)
arrays_by_rank[rank] = data["arrays"]
arrays = _concatenate_arrays(arrays_by_rank, nprocs)
data["arrays"] = arrays
return data
def run(options):
for fname in options.inputfile:
if os.path.isdir(fname):
files = [os.path.join(fname, file) for file in os.listdir(fname)
if file.endswith(output_formats)]
files = remove_irrelevant_files(files)
options.inputfile.extend(files)
continue
data = load(fname)
particles = []
for ptype, pdata in data['arrays'].items():
particles.append(pdata)
filename = os.path.splitext(fname)[0]
if options.outdir is not None:
filename = options.outdir + os.path.split(filename)[1]
dump_vtk(filename, particles, scalars=options.scalars,
velocity=['u', 'v', 'w'])
def run(options):
for fname in options.inputfile:
if os.path.isdir(fname):
files = get_files(fname)
options.inputfile.extend(files)
continue
data = load(fname)
particles = []
for ptype, pdata in data['arrays'].items():
particles.append(pdata)
filename = os.path.splitext(fname)[0]
outdir = options.outdir
if outdir is not None:
if not os.path.exists(outdir):
os.makedirs(outdir)
filename = os.path.join(outdir, os.path.basename(filename))
dump_vtk(filename,
particles,
scalars=options.scalars,
velocity=['u', 'v', 'w'])
