/usr/lib/python2.7/dist-packages/numpy/f2py/__init__.py is in python-numpy 1:1.12.1-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | #!/usr/bin/env python
"""Fortran to Python Interface Generator.
"""
from __future__ import division, absolute_import, print_function
__all__ = ['run_main', 'compile', 'f2py_testing']
import sys
from . import f2py2e
from . import f2py_testing
from . import diagnose
run_main = f2py2e.run_main
main = f2py2e.main
def compile(source,
modulename='untitled',
extra_args='',
verbose=True,
source_fn=None,
extension='.f'
):
"""
Build extension module from processing source with f2py.
Parameters
----------
source : str
Fortran source of module / subroutine to compile
modulename : str, optional
The name of the compiled python module
extra_args : str, optional
Additional parameters passed to f2py
verbose : bool, optional
Print f2py output to screen
source_fn : str, optional
Name of the file where the fortran source is written.
The default is to use a temporary file with the extension
provided by the `extension` parameter
extension : {'.f', '.f90'}, optional
Filename extension if `source_fn` is not provided.
The extension tells which fortran standard is used.
The default is `.f`, which implies F77 standard.
.. versionadded:: 1.11.0
"""
from numpy.distutils.exec_command import exec_command
import tempfile
if source_fn is None:
f = tempfile.NamedTemporaryFile(suffix=extension)
else:
f = open(source_fn, 'w')
try:
f.write(source)
f.flush()
args = ' -c -m {} {} {}'.format(modulename, f.name, extra_args)
c = '{} -c "import numpy.f2py as f2py2e;f2py2e.main()" {}'
c = c.format(sys.executable, args)
status, output = exec_command(c)
if verbose:
print(output)
finally:
f.close()
return status
from numpy.testing.nosetester import _numpy_tester
test = _numpy_tester().test
bench = _numpy_tester().bench
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