nikhedonia

double golden(double epsilon=0.00001) {
  int a = 0;
  int b = 1;
  double ratio = 0;
 
  while (1) {
    tie(a, b) = tuple{b, a+b};
    auto delta = b / (double)a - ratio;
    ratio = b / (double)a;
    cout << ratio << endl;

nikhedonia

template<class TestF class Map>
auto golden(TestF test, Map f) {
  int a = 0;
  int b = 1;
  double ratio = 1;
 
  while (1) {
    tie(a, b) = tuple{b, a+b};
    auto delta = b/(double)a - ratio;
    ratio = b/(double)a;

nikhedonia

auto ratiosWithPrecission = []{
  return zip([](auto prev, auto next){ 
      return tuple{next, next - prev}; 
    },
    fibRatios(),
    fibRatios() >> drop(1)
  );
};

nikhedonia

auto fibRatios = [] {
  return fib() >> scan(1, [](auto a, auto b){ 
    return b/(double)a;
  });
};

nikhedonia

auto fib() -> seq<int> {
  int a = 0;
  int b = 1;
 
  while (1) {
    co_yield a;
    tie(a, b) = tuple{b, a+b};
  }
}

nikhedonia

auto ratios = []{
  return fib() >> scan(1, [](auto prev, auto next){
  return next / prev; 
  });
};
 
int main() {
  auto fiveFibs = fib() >> take(5); // 0, 1, 1, 2, 3
  auto ratiosTenToTwenty = ratios() 
    >> drop(1) 

nikhedonia

double golden(double epsilon=0.00001) {
  int a = 0;
  int b = 1;
  double ratio = 0;
 
  while (1) {
    tie(a, b) = tuple{b, a+b};
    auto delta = b / (double)a - ratio;
    ratio = b / (double)a;
    if ( abs(delta) < epsilon ) 

nikhedonia

def merge_dicts(x, y):
  z = x.copy()
  z.update(y)
  return z


cxx_library(
  name = "python3.8m",
  header_namespace= '',
  compiler_flags = ["-fwrapv"],

nikhedonia

auto fibonacci = []() -> seq<unsigned long long> {
  auto a = 0ll; 
  auto b = 1ll;
  
  while (true) {
    co_yield a;
    
    tie(a, b) = tuple{a + b, a};
  }
};

nikhedonia

#include <type_traits>
namespace conduit {
template <class T>
T id(T const& x) {
  return x;
}
template <class T>
auto first(T&& xs) -> decltype(id(*xs.begin())) {
  return *xs.begin();
}