yaw.Configuration#
- class yaw.Configuration(scales: ScalesConfig, binning: BinningConfig, cosmology: FLRW | CustomCosmology | str | None = None, max_workers: int | None = None)[source]#
Bases:
BaseConfig,ImmutableConfiguration for correlation function measurements.
This is the top-level configuration class for yet_another_wizz, defining correlation scales, redshift binning, and the cosmological model used for distance calculations.
Note
The preferred way to create a new configuration instance is using the
create()constructor.All configuration objects are immutable. To modify an existing configuration, create a new instance with updated values by using the
modify()method. The bin edges are recomputed when necessary.Methods
__init__(scales, binning[, cosmology, ...])create(*, rmin, rmax[, unit, rweight, ...])Create a new instance with the given parameters.
from_dict(the_dict, **kwargs)Restore the class instance from a python dictionary.
from_file(path)Restore the class instance from a YAML file.
Generate a listing of parameters that may be used by external tool to auto-generate an interface to this configuration class.
modify(*[, rmin, rmax, unit, rweight, ...])Create a new configuration instance with updated parameter values.
to_dict()Serialise the class instances into a dictionary.
to_file(path)Serialise the class instances into a YAML file.
Attributes
Organises the configuration of correlation scales.
Organises the configuration of redshift bins.
Optional cosmological model to use for distance computations.
Limit the number of workers for parallel operations (all by default).
- binning: BinningConfig#
Organises the configuration of redshift bins.
- cosmology: FLRW | CustomCosmology | str#
Optional cosmological model to use for distance computations.
- classmethod create(*, rmin: Iterable[float] | float, rmax: Iterable[float] | float, unit: Unit = Unit.kpc, rweight: float | None = None, resolution: int | None = None, zmin: float | None = None, zmax: float | None = None, num_bins: int = 30, method: BinMethod | str = BinMethod.linear, edges: Iterable[float] | None = None, closed: Closed | str = Closed.right, cosmology: TypeCosmology | str | None = 'Planck15', max_workers: int | None = None) Configuration[source]#
Create a new instance with the given parameters.
- Keyword Arguments:
rmin – Single or multiple lower scale limits in kpc (angular diameter distance).
rmax – Single or multiple upper scale limits in kpc (angular diameter distance).
unit – String describing the angular, physical, or comoving unit of correlation scales, see
Unitfor valid options (default: kpc).rweight – Optional power-law exponent \(\alpha\) used to weight pairs by their separation.
resolution – Optional number of radial logarithmic bin used to approximate the weighting by separation.
zmin – Lowest redshift bin edge to generate.
zmax – Highest redshift bin edge to generate.
num_bins – Number of redshift bins to generate.
method – Method used to generate the bin edges, see
BinMethodfor valid options.edges – Use these custom bin edges instead of generating them.
closed – Indicating which side of the bin edges is a closed interval, see
Closedfor valid options.cosmology – Optional cosmological model to use for distance computations.
max_workers – Limit the number of parallel workers for this operation (all by default).
- Returns:
New configuration instance.
Note
Although the function parameters are optional, either
zminandzmax(generate bin edges), oredges(custom bin edges) must be provided.
- classmethod from_dict(the_dict: dict[str, Any], **kwargs) Configuration[source]#
Restore the class instance from a python dictionary.
- Parameters:
the_dict – Dictionary containing all required data attributes to restore the instance, see also
to_dict().- Returns:
Restored class instance.
- classmethod from_file(path: Path | str) Configuration[source]#
Restore the class instance from a YAML file.
- Parameters:
path – Path (
strorpathlib.Path) to YAML file to restore from, see alsoto_file().- Returns:
Restored class instance.
- classmethod get_paramspec() ParamSpec[source]#
Generate a listing of parameters that may be used by external tool to auto-generate an interface to this configuration class.
- Returns:
A
ParamSpecinstance, that is a key-value mapping from parameter name to the parameter meta data for this configuration class.
- max_workers: int | None#
Limit the number of workers for parallel operations (all by default).
- modify(*, rmin: Iterable[float] | float | NotSet = NotSet, rmax: Iterable[float] | float | NotSet = NotSet, unit: Unit | NotSet = NotSet, rweight: float | None | NotSet = NotSet, resolution: int | None | NotSet = NotSet, zmin: float | NotSet = NotSet, zmax: float | NotSet = NotSet, num_bins: int | NotSet = NotSet, method: BinMethod | str | NotSet = NotSet, edges: Iterable[float] | None = NotSet, closed: Closed | str | NotSet = NotSet, cosmology: TypeCosmology | str | None | NotSet = NotSet, max_workers: int | None | NotSet = NotSet) Configuration[source]#
Create a new configuration instance with updated parameter values.
Parameter values are only updated if they are provided as inputs to this function and retained from the original instance otherwise.
- Keyword Arguments:
rmin – Single or multiple lower scale limits in kpc (angular diameter distance).
rmax – Single or multiple upper scale limits in kpc (angular diameter distance).
unit – String describing the angular, physical, or comoving unit of correlation scales, see
Unitfor valid options (default: kpc).rweight – Optional power-law exponent \(\alpha\) used to weight pairs by their separation.
resolution – Optional number of radial logarithmic bin used to approximate the weighting by separation.
zmin – Lowest redshift bin edge to generate.
zmax – Highest redshift bin edge to generate.
num_bins – Number of redshift bins to generate.
method – Method used to generate the bin edges, see
BinMethodfor valid options.edges – Use these custom bin edges instead of generating them.
closed – Indicating which side of the bin edges is a closed interval, see
Closedfor valid options.cosmology – Optional cosmological model to use for distance computations.
max_workers – Limit the number of parallel workers for this operation (all by default).
- Returns:
New instance with updated parameter values.
- scales: ScalesConfig#
Organises the configuration of correlation scales.
- to_dict() dict[str, Any][source]#
Serialise the class instances into a dictionary.
- Returns:
A dictionary containnig the minimal set of data attributes to restore the instance with
from_dict().
- to_file(path: Path | str) None[source]#
Serialise the class instances into a YAML file.
- Parameters:
path – Path (
strorpathlib.Path) to YAML file to serialise into, see alsofrom_file().