Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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55 lines
1.7 KiB
55 lines
1.7 KiB
4 years ago
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from numpy.distutils.cpuinfo import cpu
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from numpy.distutils.fcompiler import FCompiler
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compilers = ['MIPSFCompiler']
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class MIPSFCompiler(FCompiler):
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compiler_type = 'mips'
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description = 'MIPSpro Fortran Compiler'
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version_pattern = r'MIPSpro Compilers: Version (?P<version>[^\s*,]*)'
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executables = {
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'version_cmd' : ["<F90>", "-version"],
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'compiler_f77' : ["f77", "-f77"],
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'compiler_fix' : ["f90", "-fixedform"],
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'compiler_f90' : ["f90"],
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'linker_so' : ["f90", "-shared"],
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'archiver' : ["ar", "-cr"],
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'ranlib' : None
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}
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module_dir_switch = None #XXX: fix me
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module_include_switch = None #XXX: fix me
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pic_flags = ['-KPIC']
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def get_flags(self):
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return self.pic_flags + ['-n32']
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def get_flags_opt(self):
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return ['-O3']
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def get_flags_arch(self):
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opt = []
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for a in '19 20 21 22_4k 22_5k 24 25 26 27 28 30 32_5k 32_10k'.split():
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if getattr(cpu, 'is_IP%s'%a)():
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opt.append('-TARG:platform=IP%s' % a)
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break
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return opt
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def get_flags_arch_f77(self):
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r = None
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if cpu.is_r10000(): r = 10000
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elif cpu.is_r12000(): r = 12000
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elif cpu.is_r8000(): r = 8000
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elif cpu.is_r5000(): r = 5000
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elif cpu.is_r4000(): r = 4000
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if r is not None:
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return ['r%s' % (r)]
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return []
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def get_flags_arch_f90(self):
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r = self.get_flags_arch_f77()
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if r:
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r[0] = '-' + r[0]
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return r
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if __name__ == '__main__':
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from numpy.distutils import customized_fcompiler
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print(customized_fcompiler(compiler='mips').get_version())
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