lib.survey_selection.binning.InterpBinning

class lib.survey_selection.binning.InterpBinning(xin)

Bases: lib.survey_selection.binning.BaseBinning

Class handling model interpolation at the data points.

Initialize InterpBinning.

Parameters

xin (array) – x-coordinates to evaluate model at (before interpolation).

Methods

compute	Apply transform to input array.
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
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
propose_out	Propose input and output projection names: exactly those of data vector.
save	Save class to disk.
save_auto	If different formats are possible, this method should between them based on file name extension.
setup	Set up projection.

Attributes

basis
logger
mpiattrs	MPI attributes
mpicomm
mpiroot
mpistate
regularin
regularout

compute(array)

Apply transform to input array.

copy()

Return shallow copy of self.

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

Instantiate and initalize class with state dictionary.

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

propose_out(projsin)

Propose input and output projection names: exactly those of data vector.

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.

setup(data_vector, projs=None)

Set up projection.

Parameters

• data_vector (DataVector) – Data vector to project onto.

• projs (list, ProjectionNameCollection, default=None) – Projection names. If None, defaults to data_vector.get_projs(), i.e. projections within data view.