lib.samples.profiles.ParamDict

class lib.samples.profiles.ParamDict(data)

Bases: cosmopipe.lib.utils.BaseClass

Class for a simple name: item mapping.

Initialize ParamDict.

Parameters

data (dict, ParamDict) – Dictionary name: array. If ParamDict instance, update self attributes.

Methods

columns	Return parameter names.
copy	Return shallow copy of self.
deepcopy
from_state	Instantiate and initalize class with state dictionary.
is_mpi_broadcast
is_mpi_gathered
is_mpi_root
is_mpi_scattered
items	Return dictionary items, i.e. (name, item) tuples.
load	Load class in numpy binary format from disk.
load_auto	If different formats are possible, this method should between them based on file name extension.
log_critical
log_debug
log_error
log_info
log_warning
save	Save class to disk.
save_auto	If different formats are possible, this method should between them based on file name extension.

Attributes

logger
mpiattrs	MPI attributes
mpicomm
mpiroot
mpistate

columns()

Return parameter names.

copy()

Return shallow copy of self.

classmethod from_state(state, mpiroot=0, mpicomm=None)

Instantiate and initalize class with state dictionary.

items()

Return dictionary items, i.e. (name, item) tuples.

classmethod load(filename, mpiroot=0, mpicomm=None)

Load class in numpy binary format from disk. If the loaded state contains __class__ and that exists in cls._registry, return instance of cls._registry[__class__] (instead of cls).

load_auto(*args, **kwargs)

If different formats are possible, this method should between them based on file name extension.

property mpiattrs

MPI attributes

save(filename)

Save class to disk.

save_auto(*args, **kwargs)

If different formats are possible, this method should between them based on file name extension.