Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/numpy/distutils/fcompiler/pathf95.py
2023-09-20 19:46:58 +02:00

34 lines
1.0 KiB
Python

from numpy.distutils.fcompiler import FCompiler
compilers = ['PathScaleFCompiler']
class PathScaleFCompiler(FCompiler):
compiler_type = 'pathf95'
description = 'PathScale Fortran Compiler'
version_pattern = r'PathScale\(TM\) Compiler Suite: Version (?P<version>[\d.]+)'
executables = {
'version_cmd' : ["pathf95", "-version"],
'compiler_f77' : ["pathf95", "-fixedform"],
'compiler_fix' : ["pathf95", "-fixedform"],
'compiler_f90' : ["pathf95"],
'linker_so' : ["pathf95", "-shared"],
'archiver' : ["ar", "-cr"],
'ranlib' : ["ranlib"]
}
pic_flags = ['-fPIC']
module_dir_switch = '-module ' # Don't remove ending space!
module_include_switch = '-I'
def get_flags_opt(self):
return ['-O3']
def get_flags_debug(self):
return ['-g']
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='pathf95').get_version())