noiseX_Converter Class Reference
This is a mapping instance that maps a SLIMpy command into an object that can be run. More...
Inheritance diagram for noiseX_Converter:
Public Member Functions | |
| def | map |
| map a SLIMpy command to a rsf command | |
| def | trans |
| default trans, returns voidSpace | |
| def | trans_adj |
| trans_adj will automatically be called in the case where the command has an adj keyword that is true | |
| def | constr |
| def | constr_adj |
Detailed Description
This is a mapping instance that maps a SLIMpy command into an object that can be run.There are three types of function this class should have.
- map
- trans
- constr Each of these functions can have an optional '_adj' at the end of the name if the operator's adjoint is different than the forward.
- map should change the arguments of the operator such that it can run as
- an rsf command line.
- trans defines how this operator affects the domain of the input.
- this is also to calculate the range of the operator at initialization.
- constr defines any run time error messages if the vector is not in the domain of
- the operator.
Definition at line 128 of file new_noise_rsf_integration.py.
Member Function Documentation
| def map | ( | cls, | ||
| source, | ||||
| command | ||||
| ) |
map a SLIMpy command to a rsf command
Reimplemented from sfConverter.
Definition at line 135 of file new_noise_rsf_integration.py.
| def trans | ( | cls, | ||
| command, | ||||
| space, | ||||
| spaces | ||||
| ) |
default trans, returns voidSpace
Reimplemented from Converter.
Definition at line 147 of file new_noise_rsf_integration.py.
| def trans_adj | ( | cls, | ||
| command, | ||||
| space, | ||||
| spaces | ||||
| ) |
trans_adj will automatically be called in the case where the command has an adj keyword that is true
Definition at line 161 of file new_noise_rsf_integration.py.
| def constr | ( | cls, | ||
| command, | ||||
| space | ||||
| ) |
| def constr_adj | ( | cls, | ||
| command, | ||||
| space | ||||
| ) |
Definition at line 174 of file new_noise_rsf_integration.py.
The documentation for this class was generated from the following file:
- tut/OriEstimation/new_noise_rsf_integration.py
