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https://github.com/triqs/dft_tools
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243d4a798b
- a module can use the converters used by another
with the use_module('A') command.
In which case :
- the generate converter header for A will be included.
- the header, at the top, now contains a simple list of all
wrapped types, which is then included in the wrapped_types
of the module for proper code generation.
- simplify the code generation : just generate_code.
- all arguments are analyzed from sys.argv at the import of the
wrap_generator module. In any case, the xx_desc.py will be called from the corresponding
cmake command, hence with the right arguments.
- Added a dependencies in my_module_B of wrap_test to show how to make
the dependencies in the cmake file, if needed.
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
from wrap_generator import *
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module = module_(full_name = "pytriqs.random_generator", doc = "")
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module.add_include("<triqs/mc_tools/random_generator.hpp>")
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module.add_using("namespace triqs::mc_tools")
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# Not needed. Reorganize the hpp wrapper tool
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module.add_include("<triqs/h5.hpp>")
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module.add_include("<triqs/arrays.hpp>")
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# --------- RandomGenerator ----------------------------------
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r = class_(py_type = "RandomGenerator",
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c_type = "random_generator",
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c_type_absolute = "triqs::mc_tools::random_generator",
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)
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r.add_constructor(signature = "(std::string name, int seed)",
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doc =
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"""
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This is a random number generator class based on boost.
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name Name of the random number generator
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seed Random number seed
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""")
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r.add_call(signature = "int(int N)", doc = """Generate an integer random number in [0,N-1]""")
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r.add_call(signature = "double()", doc = """Generate a float random number in [0,1[""")
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module.add_class(r)
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# --------- Module functions ----------------------------------
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module.add_function(name = "random_generator_names_list",
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signature = "std::vector<std::string>()",
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doc = """Get a list of available random generator names"""
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)
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########################
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## Code generation
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########################
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if __name__ == '__main__' :
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module.generate_code()
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