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曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜.
"""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