class OutNcFile(AbinitNcFile):
"""
Class representing the _OUT.nc file containing the dataset results
produced at the end of the run. The netcdf variables can be accessed
via instance attribute e.g. ``outfile.ecut``. Provides integration with ipython_.
"""
# TODO: This object is deprecated
def __init__(self, filepath):
super().__init__(filepath)
self.reader = NetcdfReader(filepath)
self._varscache = {k: None for k in self.reader.rootgrp.variables}
def __dir__(self):
"""Ipython integration."""
return sorted(list(self._varscache.keys()))
def __getattribute__(self, name):
try:
return super().__getattribute__(name)
except AttributeError:
# Look in self._varscache
varscache = super().__getattribute__("_varscache")
if name not in varscache:
raise AttributeError("Cannot find attribute %s" % name)
reader = super().__getattribute__("reader")
if varscache[name] is None:
varscache[name] = reader.read_value(name)
return varscache[name]
@lazy_property
def params(self):
""":class:`OrderedDict` with parameters that might be subject to convergence studies."""
return {}
def close(self):
"""Close the file."""
self.reader.close()
def get_allvars(self):
"""
Read all netcdf_ variables present in the file.
Return dictionary varname --> value
"""
for k, v in self._varscache.items():
if v is not None: continue
self._varscache[k] = self.reader.read_value(k)
return self._varscache
class OutNcFile(AbinitNcFile):
"""
Class representing the _OUT.nc file containing the dataset results
produced at the end of the run. The netcdf variables can be accessed
via instance attribute e.g. ``outfile.ecut``. Provides integration with ipython_.
"""
def __init__(self, filepath):
super(OutNcFile, self).__init__(filepath)
self.reader = NetcdfReader(filepath)
self._varscache= {k: None for k in self.reader.rootgrp.variables}
def __dir__(self):
"""Ipython integration."""
return sorted(list(self._varscache.keys()))
def __getattribute__(self, name):
try:
return super(OutNcFile, self).__getattribute__(name)
except AttributeError:
# Look in self._varscache
varscache = super(OutNcFile, self).__getattribute__("_varscache")
if name not in varscache:
raise AttributeError("Cannot find attribute %s" % name)
reader = super(OutNcFile, self).__getattribute__("reader")
if varscache[name] is None:
varscache[name] = reader.read_value(name)
return varscache[name]
@lazy_property
def params(self):
""":class:`OrderedDict` with parameters that might be subject to convergence studies."""
return {}
def close(self):
"""Close the file."""
self.reader.close()
def get_allvars(self):
"""
Read all netcdf_ variables present in the file.
Return dictionary varname --> value
"""
for k, v in self._varscache.items():
if v is not None: continue
self._varscache[k] = self.reader.read_value(k)
return self._varscache
class OutNcFile(AbinitNcFile):
"""
Class representing the _OUT.nc file containing the dataset results
produced at the end of the run. The netcdf variables can be accessed
via instance attribute e.g. `outfile.ecut`. Provides integration with ipython.
"""
def __init__(self, filepath):
super(OutNcFile, self).__init__(filepath)
self.reader = NetcdfReader(filepath)
self._varscache = {k: None for k in self.reader.rootgrp.variables}
def __dir__(self):
"""Ipython integration."""
return sorted(list(self._varscache.keys()))
def __getattribute__(self, name):
try:
return super(OutNcFile, self).__getattribute__(name)
except AttributeError:
# Look in self._varscache
varscache = super(OutNcFile, self).__getattribute__("_varscache")
if name not in varscache:
raise AttributeError("Cannot find attribute %s" % name)
reader = super(OutNcFile, self).__getattribute__("reader")
if varscache[name] is None:
varscache[name] = reader.read_value(name)
return varscache[name]
def close(self):
self.reader.close()
def get_allvars(self):
"""
Read all netcdf variables present in the file.
Return dictionary varname --> value
"""
for k, v in self._varscache.items():
if v is not None: continue
self._varscache[k] = self.reader.read_value(k)
return self._varscache