nbecker

import numpy as np
from numba import *

f8_array_ty = f8[:]

@jit
class fir (object):
    @void(f8[:])
    def __init__ (self, coef):
        self.coef = coef

nbecker

import numpy as np
from numba import *

f8_array_ty = f8[:]

@jit
class fir (object):
    @void(f8[:])
    def __init__ (self, coef):
        self.coef = coef

nbecker

import numpy as np
from numba import *
from numba.vectorize import vectorize
from math import exp, log1p


@vectorize([f8(f8,f8)])
def log_exp_sum2 (a, b):
    if a >= b:
        return a + log1p (exp (-(a-b)))

nbecker

import numpy as np
from numba import *

f8_array_ty = f8[:]

@autojit
class fir (object):
    ## @void(f8[:])
    def __init__ (self, coef):
        self.coef = coef

nbecker

import numpy as np

class extensible_array (object):
    def __init__(self, ndims=0, dtype=int, init=None):
        if init is not None:
            self.arr = init
        else:
            self.arr = np.zeros ([0]*ndims, dtype=dtype)

    def __getitem__ (self, indices):

nbecker

Python 3.5.1 |Anaconda custom (64-bit)| (default, Dec  7 2015, 11:16:01) 
Type "copyright", "credits" or "license" for more information.

IPython 4.2.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: python.el: native completion setup loaded

nbecker

\makeatletter
\def\input@path{{/home/nbecker/interference/}}
\makeatother
\documentclass[english]{beamer}
\usepackage{amsmath}
\usepackage{fontspec}
\usepackage{unicode-math}
\setcounter{secnumdepth}{3}
\setcounter{tocdepth}{3}

nbecker

type var{T,S}
    sum::T
    sumsqr::S
    nobjs::Int64
    var() = new(0,0,0)
end

var_cmplx(T=Float64) = var{Complex{T},T}()
var_scalar(T=Float64) = var{T,T}()

nbecker

#include <numpy/arrayobject.h>
#include "pybind11/pybind11.h"
#include "pybind11/complex.h"   // needed to return std::complex
#include "ndarray/pybind11.h"
#include <cmath>
#include <complex>

namespace nd=ndarray;
namespace py = pybind11;

nbecker

#include <numpy/arrayobject.h>
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
#include "xtensor/xarray.hpp"
#include "xtensor/xtensor.hpp"
#include "xtensor/xcontainer.hpp"
#include "xtensor/xbroadcast.hpp"
//#include "xtensor/xbuilder.hpp"
#include "xtensor/xview.hpp"
#include "xtensor/xeval.hpp"