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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/venv/lib/python3.9/site-packages/numpy/distutils/fcompiler/nv.py

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import sys
from numpy.distutils.fcompiler import FCompiler
compilers = ['NVHPCFCompiler']
class NVHPCFCompiler(FCompiler):
""" NVIDIA High Performance Computing (HPC) SDK Fortran Compiler
https://developer.nvidia.com/hpc-sdk
Since august 2020 the NVIDIA HPC SDK includes the compilers formerly known as The Portland Group compilers,
https://www.pgroup.com/index.htm.
See also `numpy.distutils.fcompiler.pg`.
"""
compiler_type = 'nv'
description = 'NVIDIA HPC SDK'
version_pattern = r'\s*(nvfortran|(pg(f77|f90|fortran)) \(aka nvfortran\)) (?P<version>[\d.-]+).*'
executables = {
'version_cmd': ["<F90>", "-V"],
'compiler_f77': ["nvfortran"],
'compiler_fix': ["nvfortran", "-Mfixed"],
'compiler_f90': ["nvfortran"],
'linker_so': ["<F90>"],
'archiver': ["ar", "-cr"],
'ranlib': ["ranlib"]
}
pic_flags = ['-fpic']
module_dir_switch = '-module '
module_include_switch = '-I'
def get_flags(self):
opt = ['-Minform=inform', '-Mnosecond_underscore']
return self.pic_flags + opt
def get_flags_opt(self):
return ['-fast']
def get_flags_debug(self):
return ['-g']
def get_flags_linker_so(self):
return ["-shared", '-fpic']
def runtime_library_dir_option(self, dir):
return '-R%s' % dir
if __name__ == '__main__':
from distutils import log
log.set_verbosity(2)
from numpy.distutils import customized_fcompiler
print(customized_fcompiler(compiler='nv').get_version())