Comments (6)
There's currently no support for implicit arguments in f90wrap, as I never came across a Fortran code which used these, but as usual I'm open to issues/pull requests :-)
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Your code is huge, so it is hard to tell but I guess that 2 small modifications might do it :
1 - in file "f90wrapgen.py", function "visit_Procedure", line 332 : comment "self.write("implicit none")"
2 - in file "parse.py", function "check_subt", probably in the block starting at line 726, after the comment "Select only first declaration that matches entries in argument list" : find a way to keep the undeclared arguments.
3 - Repeat 2 for the function "check_funct"
Optional : give the type "implicit" to undeclared arguments for the doc_string.
It is of course the step 2 that is the most involved and I have not enough understanding of your code today to propose an precise way to do this.
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Hi James :)
I have tinkered a bit with your code to add basic inference of implicit types for arguments and function returns. Would you like me to provide the modified code, in the event of a future integration ? (I also "upgraded" some "removing this or that" lines from logging to warning, as I feel that missing functionalities should really be noted)
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Please do, that would be great! If you create a pull request here on GitHub I will review your changes and incorporate as soon as possible.
On 3 May 2016, at 18:27, MrYann [email protected] wrote:
Hi James :)
I have tinkered a bit with your code to add basic inference of implicit types for arguments and function returns. Would you like me to provide the modified code, in the event of a future integration ? (I also "upgraded" some "removing this or that" lines from logging to warning, as I feel that missing functionalities should really be noted)—
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Reply to this email directly or view it on GitHub
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Ok, I tried, but must have done something wrong : it says +2487 -0 lines, and I have only added < 20 lines.
Yann
Le 3 mai 2016 à 19:32, James Kermode [email protected] a écrit :
Please do, that would be great! If you create a pull request here on GitHub I will review your changes and incorporate as soon as possible.
On 3 May 2016, at 18:27, MrYann [email protected] wrote:
Hi James :)
I have tinkered a bit with your code to add basic inference of implicit types for arguments and function returns. Would you like me to provide the modified code, in the event of a future integration ? (I also "upgraded" some "removing this or that" lines from logging to warning, as I feel that missing functionalities should really be noted)—
You are receiving this because you commented.
Reply to this email directly or view it on GitHub—
You are receiving this because you authored the thread.
Reply to this email directly or view it on GitHub #44 (comment)
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Got it … uploaded in wring folder. Sorry for the inconvenience.
Yann
Le 3 mai 2016 à 19:47, Yann Grisel [email protected] a écrit :
Ok, I tried, but must have done something wrong : it says +2487 -0 lines, and I have only added < 20 lines.
Yann
Le 3 mai 2016 à 19:32, James Kermode <[email protected] mailto:[email protected]> a écrit :
Please do, that would be great! If you create a pull request here on GitHub I will review your changes and incorporate as soon as possible.
On 3 May 2016, at 18:27, MrYann <[email protected] mailto:[email protected]> wrote:
Hi James :)
I have tinkered a bit with your code to add basic inference of implicit types for arguments and function returns. Would you like me to provide the modified code, in the event of a future integration ? (I also "upgraded" some "removing this or that" lines from logging to warning, as I feel that missing functionalities should really be noted)—
You are receiving this because you commented.
Reply to this email directly or view it on GitHub—
You are receiving this because you authored the thread.
Reply to this email directly or view it on GitHub #44 (comment)
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Related Issues (20)
- multidimensional arrays in derived types broken if compiled with long integers as default HOT 1
- Python 3.11 support HOT 8
- Pre-build f90wrap wheels for windows HOT 3
- 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)
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