Comments (2)
If the abstract class is not required in Python, looks like moving f90wrap_shapes__get__shapetype(this, shapetype)
to classes that extend the abstract class is sufficient. Maybe a pre-processor that copies everything in the abstract class to it's child class would be the easiest solution.
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That's correct, there's currently no support for any Fortran 2003 features. Mapping the abstract types to either standard Python classes or abstract base classes and then specifying the correct inheritance in the Python classes wrapped around the concrete Fortran derived types would be the best solution, and probably wouldn't be any more work than pre-processing.
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Related Issues (20)
- Derived types containing allocatable character arrays
- `integer, value, intent(in)`/`integer, value` arguments converted to/wrapped as `real`
- Wrong module class name in a call to `f90wrap.runtime.FortranDerivedTypeArray` HOT 2
- numpy > 1.23 support HOT 2
- Switch to pyproject.toml based build system HOT 7
- duplicate symbol in formal argument list HOT 2
- Issues on Mac OS X - for f90wrap 0.2.12 HOT 1
- BUG: Routines including procedure arguments (callbacks) are excluded HOT 1
- Can `f90wrap`parse FORD docstrings?
- unexpected removal of procedures associated with derived types HOT 1
- install fails on macos 14 HOT 4
- Binary Wheels for Mac HOT 1
- example with fortran to python callback function fails with as of f90wrap v0.2.13: "bad argument to internal function" HOT 1
- Parser fails on asterisk in subroutine argument list HOT 2
- Fix Windows wheels HOT 1
- Suggestions on wrapping a code HOT 4
- Handle collision in array wrapper (that breaks CI intermittently)
- Question: Why is `FortranModule` a `Singleton`? HOT 1
- Install f90wrap without pip because there is no network in the cluster and it is under a personal account? HOT 3
- f2py-f90wrap v0.2.15 now leads to "Fatal Error: Cannot open module file xyz.mod’ for reading" HOT 2
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