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/usr/lib/python2.7/dist-packages/instant/inlining.py is in python-instant 1.3.0-1.

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"""This module contains the inline* functions, which allows easy inlining of C/C++ functions."""

from .output import instant_assert, instant_warning, instant_error
from .build import build_module, build_module_vtk, build_module_vmtk


def get_func_name(c_code):
    # TODO: Something more robust? Regexp?
    try:
        func = c_code[:c_code.index('(')]
        ret, func_name = func.split()
    except:
        instant_error("Failed to extract function name from c_code.")
    return func_name



def inline(c_code, **kwargs):
    """This is a short wrapper around the build_module function in instant. 
    
    It creates a module given that
    the input is a valid C function. It is only possible
    to inline one C function each time. 

    Usage: 

    >>> from instant import inline
    >>> add_func = inline("double add(double a, double b){ return a+b; }")
    >>> print "The sum of 3 and 4.5 is ", add_func(3, 4.5)
    """
    instant_assert("code" not in kwargs, "Cannot specify code twice.")
    kwargs["code"] = c_code
    func_name = get_func_name(c_code)
    module = build_module(**kwargs)
    if hasattr(module, func_name):
        return getattr(module, func_name)
    else:
        instant_warning("Didn't find function '%s', returning module." % func_name)
    return module

def inline_module(c_code, **kwargs):
    """This is a short wrapper around the build_module function in instant. 
    
    It creates a module given that
    the input is a valid C function. It is only possible
    to inline one C function each time. 

    Usage: 

    >>> from instant import inline
    >>> add_func = inline("double add(double a, double b){ return a+b; }")
    >>> print "The sum of 3 and 4.5 is ", add_func(3, 4.5)
    """
    instant_assert("code" not in kwargs, "Cannot specify code twice.")
    kwargs["code"] = c_code
    module = build_module(**kwargs)
    return module



def inline_with_numpy(c_code, **kwargs):
    '''This is a short wrapper around the build_module function in instant. 
       
    It creates a module given that
    the input is a valid C function. It is only possible
    to inline one C function each time. The difference between
    this function and the inline function is that C-arrays can be used. 
    The following example illustrates that. 

    Usage: 

    >>> import numpy
    >>> import time
    >>> from instant import inline_with_numpy
    >>> c_code = """
        double sum (int n1, double* array1){
            double tmp = 0.0; 
            for (int i=0; i<n1; i++) {  
                tmp += array1[i]; 
            }
            return tmp; 
        }
        """
    >>> sum_func = inline_with_numpy(c_code,  arrays = [['n1', 'array1']])
    >>> a = numpy.arange(10000000); a = numpy.sin(a)
    >>> sum_func(a)
    '''
    import numpy
    instant_assert("code" not in kwargs, "Cannot specify code twice.")
    kwargs["code"] = c_code 
    kwargs["init_code"]      = kwargs.get("init_code","")      + "\nimport_array();\n"
    kwargs["system_headers"] = kwargs.get("system_headers",[]) + ["numpy/arrayobject.h"]
    kwargs["include_dirs"]   = kwargs.get("include_dirs",[])   + ["%s" %numpy.get_include()]
    func_name = get_func_name(c_code)
    module = build_module(**kwargs)
    if hasattr(module, func_name):
        return getattr(module, func_name)
    else:
        instant_warning("Didn't find function '%s', returning module." % func_name)
    return module

def inline_module_with_numpy(c_code, **kwargs):
    '''This is a short wrapper around the build_module function in instant. 
       
    It creates a module given that
    the input is a valid C function. It is only possible
    to inline one C function each time. The difference between
    this function and the inline function is that C-arrays can be used. 
    The following example illustrates that. 

    Usage: 

    >>> import numpy
    >>> import time
    >>> from instant import inline_with_numpy
    >>> c_code = """
        double sum (int n1, double* array1){
            double tmp = 0.0; 
            for (int i=0; i<n1; i++) {  
                tmp += array1[i]; 
            }
            return tmp; 
        }
        """
    >>> sum_func = inline_with_numpy(c_code,  arrays = [['n1', 'array1']])
    >>> a = numpy.arange(10000000); a = numpy.sin(a)
    >>> sum_func(a)
    '''
    import numpy
    instant_assert("code" not in kwargs, "Cannot specify code twice.")
    kwargs["code"] = c_code 
    kwargs["init_code"]      = kwargs.get("init_code","")      + "\nimport_array();\n"
    kwargs["system_headers"] = kwargs.get("system_headers",[]) + ["numpy/arrayobject.h"]
    kwargs["include_dirs"]   = kwargs.get("include_dirs",[])   + ["%s" % numpy.get_include()]
    module = build_module(**kwargs)
    return module


def inline_vtk(c_code, cache_dir=None): 

    module = build_module_vtk(c_code)
    func_name = get_func_name(c_code)
    if hasattr(module, func_name):
        return getattr(module, func_name)
    else:
        instant_warning("Didn't find function '%s', returning module." % func_name)
    return module

def inline_vmtk(c_code, cache_dir=None): 

    module = build_module_vmtk(c_code)
    func_name = get_func_name(c_code)
    if hasattr(module, func_name):
        return getattr(module, func_name)
    else:
        instant_warning("Didn't find function '%s', returning module." % func_name)
    return module