f2py
-h <filename.pyf> ...< same options as in (1) >
DESCRIPTION
This program generates a Python C/API file (<modulename>module.c)
that contains wrappers for given Fortran or C functions so that they
can be called from Python.
With the -c option the corresponding
extension modules are built.
OPTIONS
-h <filename>
Write signatures of the fortran routines to file <filename> and
exit. You can then edit <filename> and use it instead of <fortran
files>. If <filename>==stdout then the signatures are printed to
stdout.
<fortran functions>
Names of fortran routines for which Python C/API functions will be
generated. Default is all that are found in <fortran files>.
skip:
Ignore fortran functions that follow until `:'.
only:
Use only fortran functions that follow until `:'.
:
Get back to <fortran files> mode.
-m <modulename>
Name of the module; f2py generates a Python/C API file
<modulename>module.c or extension module <modulename>. Default is
'untitled'.
--[no-]lower
Do [not] lower the cases in <fortran files>. By default, --lower is
assumed with -h key, and --no-lower without -h key.
--build-dir <dirname>
All f2py generated files are created in <dirname>. Default is tempfile.mktemp().
--overwrite-signature
Overwrite existing signature file.
--[no-]latex-doc
Create (or not) <modulename>module.tex. Default is --no-latex-doc.
Create (or not) <modulename>module.rst. Default is --no-rest-doc.
--debug-capi
Create C/API code that reports the state of the wrappers during
runtime. Useful for debugging.
-include'<includefile>'
Add CPP #include statement to the C/API code. <includefile> should be
in the format of either `"filename.ext"' or `<filename.ext>'. As a
result <includefile> will be included just before wrapper functions
part in the C/API code. The option is depreciated, use `usercode`
statement in signature files instead.
--[no-]wrap-functions
Create Fortran subroutine wrappers to Fortran 77
functions. --wrap-functions is default because it ensures maximum
portability/compiler independence.
--help-link [..]
List system resources found by system_info.py. [..] may contain
a list of resources names. See also --link-<resource> switch below.
--quiet
Run quietly.
--verbose
Run with extra verbosity.
-v
Print f2py version ID and exit.
--include_paths path1:path2:...
Search include files (that f2py will scan) from the given directories.
CONFIG_FC OPTIONS
The following options are effective only when -c switch is used.
--help-compiler
List available Fortran compilers [DEPRECIATED].
--fcompiler=<name>
Specify Fortran compiler type by vendor.
--compiler=<name>
Specify C compiler type (as defined by distutils)
--fcompiler-exec=<path>
Specify the path to F77 compiler [DEPRECIATED].
--f90compiler-exec=<path>
Specify the path to F90 compiler [DEPRECIATED].
--help-fcompiler
List available Fortran compilers and exit.
--f77exec=<path>
Specify the path to F77 compiler.
--f90exec=<path>
Specify the path to F90 compiler.
--f77flags=...
Specify F77 compiler flags.
--f90flags=...
Specify F90 compiler flags.
--opt=...
Specify optimization flags.
--arch=...
Specify architecture specific optimization flags.
--noopt
Compile without optimization.
--noarch
Compile without arch-dependent optimization.
--debug
Compile with debugging information.
EXTRA OPTIONS
The following options are effective only when -c switch is used.
--link-<resource>
Link extension module with <resource> as defined by
numpy_distutils/system_info.py. E.g. to link with optimized LAPACK
libraries (vecLib on MacOSX, ATLAS elsewhere), use
--link-lapack_opt. See also --help-link switch.
Macros that might be required with non-gcc Fortran compilers.
-DF2PY_REPORT_ATEXIT
To print out a performance report of F2PY interface when python
exits. Available for Linux.
-DF2PY_REPORT_ON_ARRAY_COPY=<int>
To send a message to stderr whenever F2PY interface makes a copy of an
array. Integer <int> sets the threshold for array sizes when a message
should be shown.
REQUIREMENTS
Python 1.5.2 or higher (2.x is supported).
Numerical Python 13 or higher (20.x,21.x,22.x,23.x are supported).
Optional Numarray 0.9 or higher partially supported.
numpy_distutils from Scipy (can be downloaded from F2PY homepage)