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This package provides several entry points
* spec_parser looks for code annotations in the form of formatted comments
* functions defined in toolchain.py:
* generate_cxx: python (str) to c++ code, returns a PythonModule
* compile_cxxfile: c++ (file) to DLL, returns DLL filename
* compile_cxxcode: c++ (str) to DLL, returns DLL filename
* compile_pythrancode: python (str) to so/cpp, returns output filename
* compile_pythranfile: python (file) to so/cpp, returns output filename
* test_compile: passthrough compile test, raises CompileError Exception.
Basic scenario is to turn a Python AST into C++ code:
>>> code = "def foo(x): return x * 2"
>>> cxx_generator, error_checker = generate_cxx('my_module', code)
>>> cxx = cxx_generator.generate()
To generate a native module, one need to add type information:
>>> cxx = generate_cxx('my_module', code, {'foo':([int],)})
Eventually, the type information can be translated from a string:
>>> spec = spec_parser('#pythran export foo(int)')
>>> cxx = generate_cxx('my_module', code, spec)
Higher level entry points include:
>>> export = '#pythran export foo(int)\n'
>>> with open('my_module.py', 'w') as fd:
... _ = fd.write(export + code)
>>> dll_file = compile_pythranfile("my_module.py")
>>> cpp_file = compile_pythranfile("my_module.py",cpponly=True)
>>> dll_file = compile_pythrancode("my_module", export + code)
>>> dll_file = compile_cxxfile("my_module", cpp_file)
Cleanup
>>> import os, glob
>>> for target in glob.glob('my_module.*'):
... os.remove(target)
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