|
Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
|
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 |
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.
| "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.
| Any MarginalConfig.FlatMarginalConfig.to_cpp | ( | self | ) |
Build a bound C++ ``FlatMarginalCfg`` instance.
Definition at line 54 of file MarginalConfig.py.
|
static |
Definition at line 51 of file MarginalConfig.py.
| MarginalConfig.FlatMarginalConfig.a |
Definition at line 56 of file MarginalConfig.py.
|
static |
Definition at line 52 of file MarginalConfig.py.
| MarginalConfig.FlatMarginalConfig.b |
Definition at line 56 of file MarginalConfig.py.