Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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MarginalConfig.FlatMarginalConfig Class Reference

Public Member Functions

Any to_cpp (self)
 
"FlatMarginalConfig" from_cpp (cls, Any cpp)
 

Public Attributes

 a
 
 b
 

Static Public Attributes

float a = 0.0
 
float b = 1.0
 

Detailed Description

Configuration for a uniform marginal distribution.

Args:
    a: Lower bound of the support.
    b: Upper bound of the support.

Examples:
    >>> cfg = FlatMarginalConfig(a=-1.0, b=1.0)
    >>> cfg.a, cfg.b
    (-1.0, 1.0)

Definition at line 38 of file MarginalConfig.py.

Member Function Documentation

◆ from_cpp()

"FlatMarginalConfig" MarginalConfig.FlatMarginalConfig.from_cpp (   cls,
Any  cpp 
)
Create a Python config from a bound C++ flat config.

Definition at line 59 of file MarginalConfig.py.

◆ to_cpp()

Any MarginalConfig.FlatMarginalConfig.to_cpp (   self)
Build a bound C++ ``FlatMarginalCfg`` instance.

Definition at line 54 of file MarginalConfig.py.

Member Data Documentation

◆ a [1/2]

float MarginalConfig.FlatMarginalConfig.a = 0.0
static

Definition at line 51 of file MarginalConfig.py.

◆ a [2/2]

MarginalConfig.FlatMarginalConfig.a

Definition at line 56 of file MarginalConfig.py.

◆ b [1/2]

float MarginalConfig.FlatMarginalConfig.b = 1.0
static

Definition at line 52 of file MarginalConfig.py.

◆ b [2/2]

MarginalConfig.FlatMarginalConfig.b

Definition at line 56 of file MarginalConfig.py.


The documentation for this class was generated from the following file: