Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Preserve the algorithm and functionality while converting the code from C++ to Julia. |
#include <string>
#include <chrono>
#include <cmath>
#include <locale>
using namespace std;
using namespace chrono;
unsigned int js(int l, int n) {
unsigned int res = 0, f = 1;
double lf = log(2) / log(10), ip;
for (int i = l; i > 10; i /= 10) f *= 10;
while (n > 0)
if ((int)(f * pow(10, modf(++res * ... | function p(L, n)
@assert(L > 0 && n > 0)
places, logof2, nfound = trunc(log(10, L)), log(10, 2), 0
for i in 1:typemax(Int)
if L == trunc(10^(((i * logof2) % 1) + places)) && (nfound += 1) == n
return i
end
end
end
for (L, n) in [(12, 1), (12, 2), (123, 45), (123, 12345), (12... |
Convert this C++ snippet to Julia and keep its semantics consistent. | #include <algorithm>
#include <iomanip>
#include <iostream>
#include <map>
#include <gmpxx.h>
using integer = mpz_class;
class stirling2 {
public:
integer get(int n, int k);
private:
std::map<std::pair<int, int>, integer> cache_;
};
integer stirling2::get(int n, int k) {
if (k == n)
return 1;
... | using Combinatorics
const s2cache = Dict()
function stirlings2(n, k)
if haskey(s2cache, Pair(n, k))
return s2cache[Pair(n, k)]
elseif n < 0
throw(DomainError(n, "n must be nonnegative"))
elseif n == k == 0
return one(n)
elseif n == 0 || k == 0
return zero(n)
elseif ... |
Please provide an equivalent version of this C++ code in Julia. | #include <algorithm>
#include <iomanip>
#include <iostream>
#include <map>
#include <gmpxx.h>
using integer = mpz_class;
class stirling2 {
public:
integer get(int n, int k);
private:
std::map<std::pair<int, int>, integer> cache_;
};
integer stirling2::get(int n, int k) {
if (k == n)
return 1;
... | using Combinatorics
const s2cache = Dict()
function stirlings2(n, k)
if haskey(s2cache, Pair(n, k))
return s2cache[Pair(n, k)]
elseif n < 0
throw(DomainError(n, "n must be nonnegative"))
elseif n == k == 0
return one(n)
elseif n == 0 || k == 0
return zero(n)
elseif ... |
Generate a Julia translation of this C++ snippet without changing its computational steps. | #include <cassert>
#include <algorithm>
#include <iomanip>
#include <iostream>
#include <vector>
#include <gmpxx.h>
using big_int = mpz_class;
bool is_prime(const big_int& n) {
return mpz_probab_prime_p(n.get_mpz_t(), 25);
}
template <typename integer>
class n_smooth_generator {
public:
explicit n_smooth_gen... | using Primes
function pierponts(N, firstkind = true)
ret, incdec = BigInt[], firstkind ? 1 : -1
for k2 in 0:10000, k3 in 0:k2, switch in false:true
i, j = switch ? (k3, k2) : (k2, k3)
n = BigInt(2)^i * BigInt(3)^j + incdec
if isprime(n) && !(n in ret)
push!(ret, n)
... |
Change the following C++ code into Julia without altering its purpose. | #include <algorithm>
#include <iostream>
#include <vector>
std::vector<uint64_t> primes;
std::vector<uint64_t> smallPrimes;
template <typename T>
std::ostream &operator <<(std::ostream &os, const std::vector<T> &v) {
auto it = v.cbegin();
auto end = v.cend();
os << '[';
if (it != end) {
os <... | using Primes
function nsmooth(N, needed)
nexts, smooths = [BigInt(i) for i in 2:N if isprime(i)], [BigInt(1)]
prim, count = deepcopy(nexts), 1
indices = ones(Int, length(nexts))
while count < needed
x = minimum(nexts)
push!(smooths, x)
count += 1
for j in 1:length(nexts)... |
Generate an equivalent Julia version of this C++ code. | #include <algorithm>
#include <functional>
#include <iostream>
#include <vector>
std::vector<int> primes;
struct Seq {
public:
bool empty() {
return p < 0;
}
int front() {
return p;
}
void popFront() {
if (p == 2) {
p++;
} else {
p += 2;
... | using Primes, Combinatorics
function primepartition(x::Int64, n::Int64)
if n == oftype(n, 1)
return isprime(x) ? [x] : Int64[]
else
for combo in combinations(primes(x), n)
if sum(combo) == x
return combo
end
end
end
return Int64[]
end
for... |
Convert the following code from C++ to Julia, ensuring the logic remains intact. |
#include <iostream>
enum class zd {N00,N01,N10,N11};
class N {
private:
int dVal = 0, dLen;
void _a(int i) {
for (;; i++) {
if (dLen < i) dLen = i;
switch ((zd)((dVal >> (i*2)) & 3)) {
case zd::N00: case zd::N01: return;
case zd::N10: if (((dVal >> ((i+1)*2)) & 1) != 1) return;... | import Base.*, Base.+, Base.-, Base./, Base.show, Base.!=, Base.==, Base.<=, Base.<, Base.>, Base.>=, Base.divrem
const z0 = "0"
const z1 = "1"
const flipordered = (z1 < z0)
mutable struct Z s::String end
Z() = Z(z0)
Z(z::Z) = Z(z.s)
pairlen(x::Z, y::Z) = max(length(x.s), length(y.s))
tolen(x::Z, n::Int) = (s = x.s;... |
Keep all operations the same but rewrite the snippet in Julia. | #include <algorithm>
#include <iomanip>
#include <iostream>
#include <map>
#include <gmpxx.h>
using integer = mpz_class;
class unsigned_stirling1 {
public:
integer get(int n, int k);
private:
std::map<std::pair<int, int>, integer> cache_;
};
integer unsigned_stirling1::get(int n, int k) {
if (k == 0)
... | using Combinatorics
const s1cache = Dict()
function stirlings1(n, k, signed::Bool=false)
if signed == true && isodd(n - k)
return -stirlings1(n, k)
elseif haskey(s1cache, Pair(n, k))
return s1cache[Pair(n, k)]
elseif n < 0
throw(DomainError(n, "n must be nonnegative"))
elseif n... |
Translate the given C++ code snippet into Julia without altering its behavior. | #include <algorithm>
#include <iomanip>
#include <iostream>
#include <map>
#include <gmpxx.h>
using integer = mpz_class;
class unsigned_stirling1 {
public:
integer get(int n, int k);
private:
std::map<std::pair<int, int>, integer> cache_;
};
integer unsigned_stirling1::get(int n, int k) {
if (k == 0)
... | using Combinatorics
const s1cache = Dict()
function stirlings1(n, k, signed::Bool=false)
if signed == true && isodd(n - k)
return -stirlings1(n, k)
elseif haskey(s1cache, Pair(n, k))
return s1cache[Pair(n, k)]
elseif n < 0
throw(DomainError(n, "n must be nonnegative"))
elseif n... |
Rewrite this program in Julia while keeping its functionality equivalent to the C++ version. | #include <iostream>
#include <cmath>
#include <utility>
#include <vector>
#include <stdexcept>
using namespace std;
typedef std::pair<double, double> Point;
double PerpendicularDistance(const Point &pt, const Point &lineStart, const Point &lineEnd)
{
double dx = lineEnd.first - lineStart.first;
double dy = lineEnd.... | const Point = Vector{Float64}
function perpdist(pt::Point, lnstart::Point, lnend::Point)
d = normalize!(lnend .- lnstart)
pv = pt .- lnstart
pvdot = dot(d, pv)
ds = pvdot .* d
return norm(pv .- ds)
end
function rdp(plist::Vector{Point}, ϵ::Float64 = 1.0)
if length(plist) < 2
... |
Convert the following code from C++ to Julia, ensuring the logic remains intact. | #include <iostream>
#include <cmath>
#include <utility>
#include <vector>
#include <stdexcept>
using namespace std;
typedef std::pair<double, double> Point;
double PerpendicularDistance(const Point &pt, const Point &lineStart, const Point &lineEnd)
{
double dx = lineEnd.first - lineStart.first;
double dy = lineEnd.... | const Point = Vector{Float64}
function perpdist(pt::Point, lnstart::Point, lnend::Point)
d = normalize!(lnend .- lnstart)
pv = pt .- lnstart
pvdot = dot(d, pv)
ds = pvdot .* d
return norm(pv .- ds)
end
function rdp(plist::Vector{Point}, ϵ::Float64 = 1.0)
if length(plist) < 2
... |
Keep all operations the same but rewrite the snippet in Julia. | #include <iostream>
#include <cmath>
#include <cassert>
using namespace std;
#define PI 3.14159265359
class Vector
{
public:
Vector(double ix, double iy, char mode)
{
if(mode=='a')
{
x=ix*cos(iy);
y=ix*sin(iy);
}
else
{
x=ix;
... | module SpatialVectors
export SpatialVector
struct SpatialVector{N, T}
coord::NTuple{N, T}
end
SpatialVector(s::NTuple{N,T}, e::NTuple{N,T}) where {N,T} =
SpatialVector{N, T}(e .- s)
function SpatialVector(∠::T, val::T) where T
θ = atan(∠)
x = val * cos(θ)
y = val * sin(θ)
return SpatialVector... |
Maintain the same structure and functionality when rewriting this code in Julia. | #include <cmath>
#include <iostream>
using namespace std;
class EllipticPoint
{
double m_x, m_y;
static constexpr double ZeroThreshold = 1e20;
static constexpr double B = 7;
void Double() noexcept
{
if(IsZero())
{
... | struct Point{T<:AbstractFloat}
x::T
y::T
end
Point{T}() where T<:AbstractFloat = Point{T}(Inf, Inf)
Point() = Point{Float64}()
Base.show(io::IO, p::Point{T}) where T = iszero(p) ? print(io, "Zero{$T}") : @printf(io, "{%s}(%.3f, %.3f)", T, p.x, p.y)
Base.copy(p::Point) = Point(p.x, p.y)
Base.iszero(p::Point{T})... |
Change the programming language of this snippet from C++ to Julia without modifying what it does. | #include <cmath>
#include <iostream>
using namespace std;
class EllipticPoint
{
double m_x, m_y;
static constexpr double ZeroThreshold = 1e20;
static constexpr double B = 7;
void Double() noexcept
{
if(IsZero())
{
... | struct Point{T<:AbstractFloat}
x::T
y::T
end
Point{T}() where T<:AbstractFloat = Point{T}(Inf, Inf)
Point() = Point{Float64}()
Base.show(io::IO, p::Point{T}) where T = iszero(p) ? print(io, "Zero{$T}") : @printf(io, "{%s}(%.3f, %.3f)", T, p.x, p.y)
Base.copy(p::Point) = Point(p.x, p.y)
Base.iszero(p::Point{T})... |
Rewrite the snippet below in Julia so it works the same as the original C++ code. | #include <iostream>
#include <iomanip>
#include <string>
#include <cmath>
#include <utility>
#include <vector>
using namespace std;
static const double PI = acos(-1.0);
double affine_remap(const pair<double, double>& from, double x, const pair<double, double>& to)
{
return to.first + (x - from.first) * (to.second -... | mutable struct Cheb
c::Vector{Float64}
min::Float64
max::Float64
end
function Cheb(min::Float64, max::Float64, ncoeff::Int, nnodes::Int, fn::Function)::Cheb
c = Cheb(Vector{Float64}(ncoeff), min, max)
f = Vector{Float64}(nnodes)
p = Vector{Float64}(nnodes)
z = (max + min) / 2
r = (max -... |
Change the following C++ code into Julia without altering its purpose. | #include <iostream>
#include <iomanip>
#include <string>
#include <cmath>
#include <utility>
#include <vector>
using namespace std;
static const double PI = acos(-1.0);
double affine_remap(const pair<double, double>& from, double x, const pair<double, double>& to)
{
return to.first + (x - from.first) * (to.second -... | mutable struct Cheb
c::Vector{Float64}
min::Float64
max::Float64
end
function Cheb(min::Float64, max::Float64, ncoeff::Int, nnodes::Int, fn::Function)::Cheb
c = Cheb(Vector{Float64}(ncoeff), min, max)
f = Vector{Float64}(nnodes)
p = Vector{Float64}(nnodes)
z = (max + min) / 2
r = (max -... |
Produce a language-to-language conversion: from C++ to Julia, same semantics. | #include <algorithm>
#include <iostream>
#include <vector>
const int STX = 0x02;
const int ETX = 0x03;
void rotate(std::string &a) {
char t = a[a.length() - 1];
for (int i = a.length() - 1; i > 0; i--) {
a[i] = a[i - 1];
}
a[0] = t;
}
std::string bwt(const std::string &s) {
for (char c : ... | bwsort(vec) = sort(vec, lt = (a, b) -> string(a) < string(b))
function burrowswheeler_encode(s)
if match(r"\x02|\x03", s) != nothing
throw("String for Burrows-Wheeler input cannot contain STX or ETX")
end
s = "\x02" * s * "\x03"
String([t[end] for t in bwsort([circshift([c for c in s], n) for n... |
Port the provided C++ code into Julia while preserving the original functionality. | #include <algorithm>
#include <iostream>
#include <vector>
const int STX = 0x02;
const int ETX = 0x03;
void rotate(std::string &a) {
char t = a[a.length() - 1];
for (int i = a.length() - 1; i > 0; i--) {
a[i] = a[i - 1];
}
a[0] = t;
}
std::string bwt(const std::string &s) {
for (char c : ... | bwsort(vec) = sort(vec, lt = (a, b) -> string(a) < string(b))
function burrowswheeler_encode(s)
if match(r"\x02|\x03", s) != nothing
throw("String for Burrows-Wheeler input cannot contain STX or ETX")
end
s = "\x02" * s * "\x03"
String([t[end] for t in bwsort([circshift([c for c in s], n) for n... |
Port the provided C++ code into Julia while preserving the original functionality. | #include <time.h>
#include <algorithm>
#include <iostream>
#include <string>
#include <deque>
class riffle
{
public:
void shuffle( std::deque<int>* v, int tm )
{
std::deque<int> tmp;
bool fl;
size_t len;
std::deque<int>::iterator it;
copyTo( v, &tmp );
for( int t = 0; t < tm; t++ )
{
std:... | function riffleshuffle!(list::Vector, flips::Integer)
len = length(list)
llist = similar(list, len÷2 + fld(len, 10))
rlist = similar(list, len÷2 + fld(len, 10))
for _ in Base.OneTo(flips)
cut = len ÷ 2 + rand(-1:2:1) * rand(0:fld(len, 10))
copy!(llist, 1,... |
Translate the given C++ code snippet into Julia without altering its behavior. | #include <time.h>
#include <algorithm>
#include <iostream>
#include <string>
#include <deque>
class riffle
{
public:
void shuffle( std::deque<int>* v, int tm )
{
std::deque<int> tmp;
bool fl;
size_t len;
std::deque<int>::iterator it;
copyTo( v, &tmp );
for( int t = 0; t < tm; t++ )
{
std:... | function riffleshuffle!(list::Vector, flips::Integer)
len = length(list)
llist = similar(list, len÷2 + fld(len, 10))
rlist = similar(list, len÷2 + fld(len, 10))
for _ in Base.OneTo(flips)
cut = len ÷ 2 + rand(-1:2:1) * rand(0:fld(len, 10))
copy!(llist, 1,... |
Maintain the same structure and functionality when rewriting this code in Julia. | #include <exception>
#include <iomanip>
#include <iostream>
#include <numeric>
#include <sstream>
#include <vector>
class Frac {
public:
Frac() : num(0), denom(1) {}
Frac(int n, int d) {
if (d == 0) {
throw std::runtime_error("d must not be zero");
}
int sign_of_d = d < 0 ? -1 : 1;
int g = std::gcd(n,... | function bernoulli(n)
A = Vector{Rational{BigInt}}(undef, n + 1)
for i in 0:n
A[i + 1] = 1 // (i + 1)
for j = i:-1:1
A[j] = j * (A[j] - A[j + 1])
end
end
return n == 1 ? -A[1] : A[1]
end
function faulhabercoeffs(p)
coeffs = Vector{Rational{BigInt}}(undef, p + 1)
... |
Ensure the translated Julia code behaves exactly like the original C++ snippet. | #include <iostream>
#include <numeric>
#include <sstream>
#include <vector>
class Frac {
public:
Frac(long n, long d) {
if (d == 0) {
throw new std::runtime_error("d must not be zero");
}
long nn = n;
long dd = d;
if (nn == 0) {
dd = 1;
} else if (dd < 0) {
nn = -nn;
dd = -dd;
}
long g =... | module Faulhaber
function bernoulli(n::Integer)
n ≥ 0 || throw(DomainError(n, "n must be a positive-or-0 number"))
a = fill(0 // 1, n + 1)
for m in 1:n
a[m] = 1 // (m + 1)
for j in m:-1:2
a[j - 1] = (a[j - 1] - a[j]) * j
end
end
return ifelse(n != 1, a[1], -a[1])... |
Can you help me rewrite this code in Julia instead of C++, keeping it the same logically? | #include <vector>
#include <iostream>
#include <cmath>
#include <utility>
#include <map>
#include <iomanip>
bool isPrime( int i ) {
int stop = std::sqrt( static_cast<double>( i ) ) ;
for ( int d = 2 ; d <= stop ; d++ )
if ( i % d == 0 )
return false ;
return true ;
}
class Compare {
public :
Compa... | using Printf, Primes
using DataStructures
function counttransitions(upto::Integer)
cnt = counter(Pair{Int,Int})
tot = 0
prv, nxt = 2, 3
while nxt ≤ upto
push!(cnt, prv % 10 => nxt % 10)
prv = nxt
nxt = nextprime(nxt + 1)
tot += 1
end
return sort(Dict(cnt)), tot -... |
Generate a Julia translation of this C++ snippet without changing its computational steps. | #include <iostream>
#include <vector>
std::vector<long> TREE_LIST;
std::vector<int> OFFSET;
void init() {
for (size_t i = 0; i < 32; i++) {
if (i == 1) {
OFFSET.push_back(1);
} else {
OFFSET.push_back(0);
}
}
}
void append(long t) {
TREE_LIST.push_back(1 | ... | bags(n,cache="") = n < 1 ? [(0, "")] :
[(c + 1, "(" * s * ")") for (c, s) in bagchain((0, ""), n - 1,
n < 2 ? [] : reduce(append!, [bags(x) for x in n-1:-1:1]))]
bagchain(x, n, bb, start=1) = n < 1 ? [x] :
reduce(append!, [bagchain((x[1] + bb[i][1], x[2] * bb[i][2]),
n - bb[i][1], bb, i) fo... |
Please provide an equivalent version of this C++ code in Julia. | #include <bitset>
#include <stdio.h>
#define SIZE 80
#define RULE 30
#define RULE_TEST(x) (RULE & 1 << (7 & (x)))
void evolve(std::bitset<SIZE> &s) {
int i;
std::bitset<SIZE> t(0);
t[SIZE-1] = RULE_TEST( s[0] << 2 | s[SIZE-1] << 1 | s[SIZE-2] );
t[ 0] = RULE_TEST( s[... | function evolve(state, rule, N=64)
B(x) = UInt64(1) << x
for p in 0:9
b = UInt64(0)
for q in 7:-1:0
st = UInt64(state)
b |= (st & 1) << q
state = UInt64(0)
for i in 0:N-1
t1 = (i > 0) ? st >> (i - 1) : st >> (N - 1)
... |
Convert this C++ block to Julia, preserving its control flow and logic. | #include <algorithm>
#include <iostream>
#include <iterator>
#include <vector>
const int luckySize = 60000;
std::vector<int> luckyEven(luckySize);
std::vector<int> luckyOdd(luckySize);
void init() {
for (int i = 0; i < luckySize; ++i) {
luckyEven[i] = i * 2 + 2;
luckyOdd[i] = i * 2 + 1;
}
}
v... | using Base, StringDistances
struct Lucky
start::Int
nmax::Int
Lucky(iseven, nmax) = new(iseven ? 2 : 1, nmax)
end
struct LuckyState
nextindex::Int
sequence::Vector{Int}
end
Base.eltype(iter::Lucky) = Int
function Base.iterate(iter::Lucky, state = LuckyState(1, collect(iter.start:2:iter.nmax)))
... |
Transform the following C++ implementation into Julia, maintaining the same output and logic. | #include <algorithm>
#include <complex>
#include <iomanip>
#include <iostream>
std::complex<double> inv(const std::complex<double>& c) {
double denom = c.real() * c.real() + c.imag() * c.imag();
return std::complex<double>(c.real() / denom, -c.imag() / denom);
}
class QuaterImaginary {
public:
QuaterImagi... | import Base.show, Base.parse, Base.+, Base.-, Base.*, Base./, Base.^
function inbase4(charvec::Vector)
if (!all(x -> x in ['-', '0', '1', '2', '3', '.'], charvec)) ||
((x = findlast(x -> x == '-', charvec)) != nothing && x > findfirst(x -> x != '-', charvec)) ||
((x = findall(x -> x == '.', charvec... |
Port the provided C++ code into Julia while preserving the original functionality. | #include <random>
#include <map>
#include <string>
#include <iostream>
#include <cmath>
#include <iomanip>
int main( ) {
std::random_device myseed ;
std::mt19937 engine ( myseed( ) ) ;
std::normal_distribution<> normDistri ( 2 , 3 ) ;
std::map<int , int> normalFreq ;
int sum = 0 ;
double mean = 0.0 ... | using Printf, Distributions, Gadfly
data = rand(Normal(0, 1), 1000)
@printf("N = %i\n", length(data))
@printf("μ = %2.2f\tσ = %2.2f\n", mean(data), std(data))
@printf("range = (%2.2f, %2.2f\n)", minimum(data), maximum(data))
h = plot(x=data, Geom.histogram)
draw(PNG("norm_hist.png", 10cm, 10cm), h)
|
Write a version of this C++ function in Julia with identical behavior. | #include <iostream>
#include <numeric>
#include <vector>
template <typename T>
std::ostream &operator<<(std::ostream &os, const std::vector<T> &v) {
auto it = v.cbegin();
auto end = v.cend();
os << '[';
if (it != end) {
os << *it;
it = std::next(it);
}
while (it != end) {
... | immutable TProblem{T<:Integer,U<:String}
sd::Array{Array{T,1},1}
toc::Array{T,2}
labels::Array{Array{U,1},1}
tsort::Array{Array{T,2}, 1}
end
function TProblem{T<:Integer,U<:String}(s::Array{T,1},
d::Array{T,1},
toc::Array{T... |
Maintain the same structure and functionality when rewriting this code in Julia. | #include <iostream>
#include <vector>
__int128 imax(__int128 a, __int128 b) {
if (a > b) {
return a;
}
return b;
}
__int128 ipow(__int128 b, __int128 n) {
if (n == 0) {
return 1;
}
if (n == 1) {
return b;
}
__int128 res = b;
while (n > 1) {
res *= b... | function B10(n)
for i in Int128(1):typemax(Int128)
q, b10, place = i, zero(Int128), one(Int128)
while q > 0
q, r = divrem(q, 2)
if r != 0
b10 += place
end
place *= 10
end
if b10 % n == 0
return b10
en... |
Convert this C++ block to Julia, preserving its control flow and logic. | #include <iostream>
#include <sstream>
#include <iomanip>
using namespace std;
class magicSqr
{
public:
magicSqr() { sqr = 0; }
~magicSqr() { if( sqr ) delete [] sqr; }
void create( int d ) {
if( sqr ) delete [] sqr;
if( d & 1 ) d++;
while( d % 4 == 0 ) { d += 2; }
sz = ... | function oddmagicsquare(order)
if iseven(order)
order += 1
end
q = zeros(Int, (order, order))
p = 1
i = div(order, 2) + 1
j = 1
while p <= order * order
q[i, j] = p
ti = (i + 1 > order) ? 1 : i + 1
tj = (j - 1 < 1) ? order : j - 1
if q[ti, tj] != 0
... |
Rewrite the snippet below in Julia so it works the same as the original C++ code. | #include <algorithm>
#include <iostream>
#include <numeric>
#include <vector>
std::vector<int> divisors(int n) {
std::vector<int> divs = { 1 };
std::vector<int> divs2;
for (int i = 2; i * i <= n; i++) {
if (n % i == 0) {
int j = n / i;
divs.push_back(i);
if (i !... | using Primes
function nosuchsum(revsorted, num)
if sum(revsorted) < num
return true
end
for (i, n) in enumerate(revsorted)
if n > num
continue
elseif n == num
return false
elseif !nosuchsum(revsorted[i+1:end], num - n)
return false
... |
Convert this C++ block to Julia, preserving its control flow and logic. | #include <array>
#include <bitset>
#include <iostream>
using namespace std;
struct FieldDetails {string_view Name; int NumBits;};
template <const char *T> consteval auto ParseDiagram()
{
constexpr string_view rawArt(T);
constexpr auto firstBar = rawArt.find("|");
constexpr auto lastBar = rawArt.... | diagram = """
+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+
| ID |
+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+
|QR| Opcode |AA|TC|RD|RA| Z | RCODE |
+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+--+
| ... |
Produce a functionally identical Julia code for the snippet given in C++. | #include <iostream>
#include <vector>
enum class Piece {
empty,
black,
white
};
typedef std::pair<int, int> position;
bool isAttacking(const position &queen, const position &pos) {
return queen.first == pos.first
|| queen.second == pos.second
|| abs(queen.first - pos.first) == abs(que... | using Gtk
struct Position
row::Int
col::Int
end
function place!(numeach, bsize, bqueens, wqueens)
isattack(q, pos) = (q.row == pos.row || q.col == pos.col ||
abs(q.row - pos.row) == abs(q.col - pos.col))
noattack(qs, pos) = !any(x -> isattack(x, pos), qs)
positionopen(bqs, ... |
Rewrite this program in Julia while keeping its functionality equivalent to the C++ version. | #include <iostream>
#include <vector>
std::vector<int> smallPrimes;
bool is_prime(size_t test) {
if (test < 2) {
return false;
}
if (test % 2 == 0) {
return test == 2;
}
for (size_t d = 3; d * d <= test; d += 2) {
if (test % d == 0) {
return false;
}
... | using Primes
function countdivisors(n)
f = [one(n)]
for (p, e) in factor(n)
f = reduce(vcat, [f * p ^ j for j in 1:e], init = f)
end
length(f)
end
function nthwithndivisors(N)
parray = findall(primesmask(100 * N))
for i = 1:N
if isprime(i)
println("$i : ", BigInt(pa... |
Rewrite the snippet below in Julia so it works the same as the original C++ code. | #include <algorithm>
#include <iomanip>
#include <iostream>
#include <fstream>
#include <string>
#include <vector>
class Vector {
private:
double px, py, pz;
public:
Vector() : px(0.0), py(0.0), pz(0.0) {
}
Vector(double x, double y, double z) : px(x), py(y), pz(z) {
}
doub... | using StaticArrays, Plots, NBodySimulator
const stablebodies = [MassBody(SVector(0.0, 1.0, 0.0), SVector( 5.775e-6, 0.0, 0.0), 2.0),
MassBody(SVector(0.0,-1.0, 0.0), SVector(-5.775e-6, 0.0, 0.0), 2.0)]
const bodies = [
MassBody(SVector(0.0, 1.0, 0.0), SVector( 5.775e-6, 0.0, 0.0), 2.0),
M... |
Port the following code from C++ to Julia with equivalent syntax and logic. | #include <iostream>
#include <string>
#include <vector>
std::vector<std::string> hist;
std::ostream& operator<<(std::ostream& os, const std::string& str) {
return os << str.c_str();
}
void appendHistory(const std::string& name) {
hist.push_back(name);
}
void hello() {
std::cout << "Hello World!\n";
... | function input(prompt::AbstractString)
print(prompt)
r = readline(STDIN)
if isempty(r) || r == "quit"
println("bye.")
elseif r == "help"
println("commands: ls, cat, quit")
elseif r ∈ ("ls", "cat")
println("command `$r` not implemented yet")
else
println("Yes...?"... |
Keep all operations the same but rewrite the snippet in Julia. | #include <iostream>
#include <tuple>
#include <vector>
std::pair<int, int> tryPerm(int, int, const std::vector<int>&, int, int);
std::pair<int, int> checkSeq(int pos, const std::vector<int>& seq, int n, int minLen) {
if (pos > minLen || seq[0] > n) return { minLen, 0 };
else if (seq[0] == n) return ... | checksequence(pos, seq, n, minlen) =
pos > minlen || seq[1] > n ? (minlen, 0) :
seq[1] == n ? (pos, 1) :
pos < minlen ? trypermutation(0, pos, seq, n, minlen) : (minlen, 0)
function trypermutation(i, pos, seq, n, minlen)
if i > pos
return minlen, 0
end
res1 = checksequence(pos + 1, push... |
Keep all operations the same but rewrite the snippet in Julia. | #include <vector>
#include <iostream>
#include <fstream>
#include <sstream>
typedef struct {
int s[4];
}userI;
class jit{
public:
void decode( std::string& file, std::vector<userI>& ui ) {
std::ifstream f( file.c_str(), std::ios_base::in );
fileBuffer = std::string( ( std::istreambuf_iterator<... | @enum streamstate GET_FF GET_LF GET_TAB GET_CHAR ABORT
chars = Dict(GET_FF => ['\f'], GET_LF => ['\n'], GET_TAB => ['\t'])
function stream_decode_jit(iostream)
msg, state, ffcount, lfcount, tabcount, charcount = "", GET_FF, 0, 0, 0, 0
while true
if state == ABORT || eof(iostream)
return msg... |
Change the programming language of this snippet from C++ to Julia without modifying what it does. | #include <iostream>
#define DEBUG(msg,...) fprintf(stderr, "[DEBUG %s@%d] " msg "\n", __FILE__, __LINE__, __VA_ARGS__)
int main() {
DEBUG("Hello world");
DEBUG("Some %d Things", 42);
return 0;
}
| function test()
@info "starting test()"
a = [1, 2]
for i in 1:4
if i > 3
@debug "debugging $a at line $(@__LINE__) of file $(@__FILE__)"
else
a .*= 2
end
end
@warn "exiting test()"
println()
end
test()
ENV["JULIA_DEBUG"] = "all"
test()
|
Write the same algorithm in Julia as shown in this C++ implementation. | #include<iostream>
#include<conio.h>
using namespace std;
typedef unsigned long ulong;
int ith_digit_finder(long long n, long b, long i){
while(i>0){
n/=b;
i--;
}
return (n%b);
}
long eeuclid(long m, long b, long *inverse){
long A1 = 1, A2 = 0, A3 = m,
B1 = 0, B... | """ base 2 type Montgomery numbers """
struct Montgomery2
m::BigInt
n::Int64
rrm::BigInt
end
function Montgomery2(x::BigInt)
bitlen = length(string(x, base=2))
r = (x == 0) ? 0 : (BigInt(1) << (bitlen * 2)) % x
Montgomery2(x, bitlen, r)
end
Montgomery2(n) = Montgomery2(BigInt(n))
function redu... |
Can you help me rewrite this code in Julia instead of C++, keeping it the same logically? | #include <iostream>
#include <string>
#include <vector>
#include <queue>
#include <regex>
#include <tuple>
#include <set>
#include <array>
using namespace std;
class Board
{
public:
vector<vector<char>> sData, dData;
int px, py;
Board(string b)
{
regex pattern("([^\\n]+)\\n?");
sregex_iterator end, it... | struct BoardState
board::String
csol::String
position::Int
end
function move(s::BoardState, dpos)
buffer = Vector{UInt8}(deepcopy(s.board))
if s.board[s.position] == '@'
buffer[s.position] = ' '
else
buffer[s.position] = '.'
end
newpos = s.position + dpos
if s.board[... |
Please provide an equivalent version of this C++ code in Julia. | #include <iostream">
#include <cmath>
#include <vector>
#include <algorithm>
#include <iomanip>
#include <numeric>
using namespace std;
const uint* binary(uint n, uint length);
uint sum_subset_unrank_bin(const vector<uint>& d, uint r);
vector<uint> factors(uint x);
bool isPrime(uint number);
bool isZum(uint n)... | using Primes
function factorize(n)
f = [one(n)]
for (p, x) in factor(n)
f = reduce(vcat, [f*p^i for i in 1:x], init=f)
end
f
end
function cansum(goal, list)
if goal == 0 || list[1] == goal
return true
elseif length(list) > 1
if list[1] > goal
return cansum(... |
Port the following code from C++ to Julia with equivalent syntax and logic. | #include <functional>
#include <iostream>
#include <vector>
struct Node {
std::string sub = "";
std::vector<int> ch;
Node() {
}
Node(const std::string& sub, std::initializer_list<int> children) : sub(sub) {
ch.insert(ch.end(), children);
}
};
struct SuffixTree {
s... | import Base.print
mutable struct Node
sub::String
ch::Vector{Int}
Node(str, v=Int[]) = new(str, v)
end
struct SuffixTree
nodes::Vector{Node}
function SuffixTree(s::String)
nod = [Node("", Int[])]
for i in 1:length(s)
addSuffix!(nod, s[i:end])
end
return ... |
Can you help me rewrite this code in Julia instead of C++, keeping it the same logically? | #include <functional>
#include <iostream>
#include <vector>
struct Node {
std::string sub = "";
std::vector<int> ch;
Node() {
}
Node(const std::string& sub, std::initializer_list<int> children) : sub(sub) {
ch.insert(ch.end(), children);
}
};
struct SuffixTree {
s... | import Base.print
mutable struct Node
sub::String
ch::Vector{Int}
Node(str, v=Int[]) = new(str, v)
end
struct SuffixTree
nodes::Vector{Node}
function SuffixTree(s::String)
nod = [Node("", Int[])]
for i in 1:length(s)
addSuffix!(nod, s[i:end])
end
return ... |
Convert this C++ snippet to Julia and keep its semantics consistent. | #include <iostream>
#include <functional>
#include <map>
#include <vector>
struct Node {
int length;
std::map<char, int> edges;
int suffix;
Node(int l) : length(l), suffix(0) {
}
Node(int l, const std::map<char, int>& m, int s) : length(l), edges(m), suffix(s) {
}
};
co... | mutable struct Node
edges::Dict{Char, Node}
link::Union{Node, Missing}
sz::Int
Node() = new(Dict(), missing, 0)
end
sizednode(x) = (n = Node(); n.sz = x; n)
function eertree(str)
nodes = Vector{Node}()
oddroot = sizednode(-1)
evenroot = sizednode(0)
oddroot.link = evenroot
evenroot... |
Write a version of this C++ function in Julia with identical behavior. | #include <iostream>
#include <functional>
#include <map>
#include <vector>
struct Node {
int length;
std::map<char, int> edges;
int suffix;
Node(int l) : length(l), suffix(0) {
}
Node(int l, const std::map<char, int>& m, int s) : length(l), edges(m), suffix(s) {
}
};
co... | mutable struct Node
edges::Dict{Char, Node}
link::Union{Node, Missing}
sz::Int
Node() = new(Dict(), missing, 0)
end
sizednode(x) = (n = Node(); n.sz = x; n)
function eertree(str)
nodes = Vector{Node}()
oddroot = sizednode(-1)
evenroot = sizednode(0)
oddroot.link = evenroot
evenroot... |
Write the same code in Julia as shown below in C++. | #include <algorithm>
#include <functional>
#include <iostream>
#include <numeric>
#include <vector>
typedef std::vector<std::vector<int>> matrix;
matrix dList(int n, int start) {
start--;
std::vector<int> a(n);
std::iota(a.begin(), a.end(), 0);
a[start] = a[0];
a[0] = start;
std::sort(a.begi... | using Combinatorics
clash(row2, row1::Vector{Int}) = any(i -> row1[i] == row2[i], 1:length(row2))
clash(row, rows::Vector{Vector{Int}}) = any(r -> clash(row, r), rows)
permute_onefixed(i, n) = map(vec -> vcat(i, vec), permutations(filter(x -> x != i, 1:n)))
filter_permuted(rows, i, n) = filter(v -> !clash(v, rows),... |
Convert this C++ block to Julia, preserving its control flow and logic. | #include <functional>
#include <iostream>
#include <ostream>
#include <vector>
template<typename T>
std::ostream& operator<<(std::ostream& os, const std::vector<T>& v) {
auto it = v.cbegin();
auto end = v.cend();
os << "[";
if (it != end) {
os << *it;
it = std::next(it);
}
whil... | function korasaju(g::Vector{Vector{T}}) where T<:Integer
vis = falses(length(g))
L = Vector{T}(length(g))
x = length(L) + 1
t = collect(T[] for _ in eachindex(g))
function visit(u::T)
if !vis[u]
vis[u] = true
for v in g[u]
visit(v)
... |
Keep all operations the same but rewrite the snippet in Julia. | #include <iomanip>
#include <ctime>
#include <iostream>
#include <vector>
#include <string>
#include <algorithm>
#include <fstream>
const int WID = 10, HEI = 10, MIN_WORD_LEN = 3, MIN_WORD_CNT = 25;
class Cell {
public:
Cell() : val( 0 ), cntOverlap( 0 ) {}
char val; int cntOverlap;
};
class Word {
public:
... | using Random
const stepdirections = [[1, 0], [0, 1], [1, 1], [1, -1], [-1, 0], [0, -1], [-1, -1], [-1, 1]]
const nrows = 10
const ncols = nrows
const gridsize = nrows * ncols
const minwords = 25
const minwordsize = 3
mutable struct LetterGrid
nattempts::Int
nrows::Int
ncols::Int
cells::Matrix{Ch... |
Change the following C++ code into Julia without altering its purpose. | #include <ctime>
#include <iostream>
#include <algorithm>
#include <fstream>
#include <string>
#include <vector>
#include <map>
class markov {
public:
void create( std::string& file, unsigned int keyLen, unsigned int words ) {
std::ifstream f( file.c_str(), std::ios_base::in );
fileBuffer = std::str... | function markovtext(txt::AbstractString, klen::Integer, maxchlen::Integer)
words = matchall(r"\w+", txt)
dict = Dict()
for i in 1:length(words)-klen
k = join(words[i:i+klen-1], " ")
v = words[i+klen]
if haskey(dict, k)
dict[k] = push!(dict[k], v)
else
... |
Please provide an equivalent version of this C++ code in Julia. | #include <algorithm>
#include <iostream>
#include <random>
#include <vector>
double uniform01() {
static std::default_random_engine generator;
static std::uniform_real_distribution<double> distribution(0.0, 1.0);
return distribution(generator);
}
int bitCount(int i) {
i -= ((i >> 1) & 0x55555555);
... | using GeometryTypes
import Base.*
CliffordVector = Point{32, Float64}
e(n) = (v = zeros(32); v[(1 << n) + 1] = 1.0; CliffordVector(v))
randommultivector() = CliffordVector(rand(32))
randomvector() = sum(i -> rand() * e(i), 0:4)
bitcount(n) = (count = 0; while n != 0 n &= n - 1; count += 1 end; count)
function reo... |
Convert the following code from C++ to Julia, ensuring the logic remains intact. | #include <iostream>
#include <string>
using namespace std;
class playfair
{
public:
void doIt( string k, string t, bool ij, bool e )
{
createGrid( k, ij ); getTextReady( t, ij, e );
if( e ) doIt( 1 ); else doIt( -1 );
display();
}
private:
void doIt( int dir )
{
int a, b, c, d; string ntxt;
... | function playfair(key, txt, isencode=true, from = "J", to = "")
to = (to == "" && from == "J") ? "I" : to
function canonical(s, dup_toX=true)
s = replace(replace(uppercase(s), from => to), r"[^A-Z]" => "")
a, dupcount = [c for c in s], 0
for i in 1:2:length(a)-1
if s[i] == s... |
Translate the given C++ code snippet into Julia without altering its behavior. | #include <iostream>
#include <string>
using namespace std;
class playfair
{
public:
void doIt( string k, string t, bool ij, bool e )
{
createGrid( k, ij ); getTextReady( t, ij, e );
if( e ) doIt( 1 ); else doIt( -1 );
display();
}
private:
void doIt( int dir )
{
int a, b, c, d; string ntxt;
... | function playfair(key, txt, isencode=true, from = "J", to = "")
to = (to == "" && from == "J") ? "I" : to
function canonical(s, dup_toX=true)
s = replace(replace(uppercase(s), from => to), r"[^A-Z]" => "")
a, dupcount = [c for c in s], 0
for i in 1:2:length(a)-1
if s[i] == s... |
Port the following code from C++ to Julia with equivalent syntax and logic. | #include <iostream>
#include <iomanip>
#include <string>
class oo {
public:
void evolve( int l, int rule ) {
std::string cells = "O";
std::cout << " Rule #" << rule << ":\n";
for( int x = 0; x < l; x++ ) {
addNoCells( cells );
std::cout << std::setw( 40 + ( static... | function ecainfinite(cells, rule, n)
notcell(cell) = (cell == '1') ? '0' : '1'
rulebits = reverse(string(rule, base = 2, pad = 8))
neighbors2next = Dict(string(n - 1, base=2, pad=3) => rulebits[n] for n in 1:8)
ret = String[]
for i in 1:n
push!(ret, cells)
cells = notcell(cells[1])^2... |
Rewrite this program in Julia while keeping its functionality equivalent to the C++ version. | #include <algorithm>
#include <iostream>
#include <optional>
#include <set>
#include <string>
#include <string_view>
#include <vector>
struct string_comparator {
using is_transparent = void;
bool operator()(const std::string& lhs, const std::string& rhs) const {
return lhs < rhs;
}
bool operato... | words = ["a", "bc", "abc", "cd", "b"]
strings = ["abcd", "abbc", "abcbcd", "acdbc", "abcdd"]
subregex = join(words, ")|(")
regexes = ["\^\(\($subregex\)\)\{$i}\$" for i in 6:-1:1]
function wordbreak()
for s in strings
solutions = []
for regex in regexes
rmat = match(Regex(regex), s)
... |
Convert this C++ snippet to Julia and keep its semantics consistent. | #include <iostream>
#include <map>
#include <utility>
using namespace std;
template<typename T>
class FixedMap : private T
{
T m_defaultValues;
public:
FixedMap(T map)
: T(map), m_defaultValues(move(map)){}
using T::cbegin;
using T::cend;
using T::empty;... | using BackedUpImmutable
function testBackedUpImmutableDict()
fibr = BackedUpImmutableDict{String,Int64}(["a" => 0, "b" => 1, "c" => 1, "d" => 2,
"e" => 3, "f" => 5, "g" => 8, "h" => 13, "i" => 21, "j" => 34, "extra" => -1])
x = fibr["extra"]
@test x == -1
fibr["extra"] = 0
y = fibr["extra"... |
Change the following C++ code into Julia without altering its purpose. | #include <algorithm>
#include <functional>
#include <iostream>
#include <random>
#include <vector>
const auto PI = std::atan2(0, -1);
bool double_equals(double a, double b, double epsilon = 0.001) {
return std::abs(a - b) < epsilon;
}
template <typename T>
bool vector_equals(const std::vector<T> & lhs, const std... | using Optim
const mcclow = [-1.5, -3.0]
const mccupp = [4.0, 4.0]
const miclow = [0.0, 0.0]
const micupp = Float64.([pi, pi])
const npar = [100, 1000]
const x0 = [0.0, 0.0]
michalewicz(x, m=10) = -sum(i -> sin(x[i]) * (i * sin( x[i]^2/pi))^(2*m), 1:length(x))
mccormick(x) = sin(x[1] + x[2]) + (x[1] - x[2])^2 - 1.5 *... |
Generate an equivalent Julia version of this C++ code. | #include <cstdlib>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <sstream>
#include <vector>
#include <openssl/sha.h>
class sha256_exception : public std::exception {
public:
const char* what() const noexcept override {
return "SHA-256 error";
}
};
class sha256 {
public:
sha25... | using SHA
function merkletree(filename="title.png", blocksize=1024)
bytes = codeunits(read(filename, String))
len = length(bytes)
hsh = [sha256(view(bytes. i:min(i+blocksize-1, len)])) for i in 1:1024:len]
len = length(hsh)
while len > 1
hsh = [i == len ? hsh[i] : sha256(vcat(hsh[i], hsh[i ... |
Generate a Julia translation of this C++ snippet without changing its computational steps. |
#include <functional>
#include <bitset>
#include <iostream>
#include <cmath>
using namespace std; using Z0=long long; using Z1=optional<Z0>; using Z2=optional<array<int,3>>; using Z3=function<Z2()>;
const int maxUT{3000000}, dL{(int)log2(maxUT)};
struct uT{
bitset<maxUT+1>N; vector<int> G{}; array<Z3,int(dL+1)>L{Z3... | using Primes
function properfactorsum(n)
f = [one(n)]
for (p,e) in factor(n)
f = reduce(vcat, [f*p^j for j in 1:e], init=f)
end
pop!(f)
return sum(f)
end
const maxtarget, sievelimit = 1_000_000, 512_000_000
const untouchables = ones(Bool, maxtarget)
for i in 2:sievelimit
n = properfac... |
Rewrite this program in Julia while keeping its functionality equivalent to the C++ version. | #include <chrono>
#include <iostream>
#include <vector>
#include <gmpxx.h>
using big_int = mpz_class;
big_int partitions(int n) {
std::vector<big_int> p(n + 1);
p[0] = 1;
for (int i = 1; i <= n; ++i) {
for (int k = 1;; ++k) {
int j = (k * (3*k - 1))/2;
if (j > i)
... | using Memoize
function partDiffDiff(n::Int)::Int
isodd(n) ? (n+1)÷2 : n+1
end
@memoize function partDiff(n::Int)::Int
n<2 ? 1 : partDiff(n-1)+partDiffDiff(n-1)
end
@memoize function partitionsP(n::Int)
T=BigInt
if n<2
one(T)
else
psum = zero(T)
for i ∈ 1:n
pd =... |
Port the provided C++ code into Julia while preserving the original functionality. | #include <iomanip>
#include <iostream>
#include <vector>
int main() {
const int max_number = 100000000;
std::vector<int> dsum(max_number + 1, 1);
std::vector<int> dcount(max_number + 1, 1);
for (int i = 2; i <= max_number; ++i) {
for (int j = i + i; j <= max_number; j += i) {
if (ds... | using Primes
function isErdősNicolas_with_k(n)
@assert n > 2
d = [one(n)]
for (p, e) in eachfactor(n)
d = reduce(vcat, [d * p^j for j in 1:e], init=d)
end
sort!(d)
pop!(d)
len = length(d)
(len < 2 || sum(d) <= n) && return false, 0
for k in 2:len
sum(@view d[1:k]) ==... |
Generate an equivalent Julia version of this C++ code. | #include <iostream>
#include <iomanip>
#include <vector>
using uint = unsigned int;
std::vector<uint> divisors(uint n) {
std::vector<uint> divs;
for (uint d=1; d<=n/2; d++) {
if (n % d == 0) divs.push_back(d);
}
return divs;
}
uint reverse(uint n) {
uint r;
for (r = 0; n; n /= 10) r =... | using Primes
function divisors(n)
f = [one(n)]
for (p,e) in factor(n)
f = reduce(vcat, [f*p^j for j in 1:e], init=f)
end
return f[1:end-1]
end
function isspecialdivisor(n)::Bool
isprime(n) && return true
nreverse = evalpoly(10, reverse(digits(n)))
for d in divisors(n)
dreve... |
Rewrite the snippet below in Julia so it works the same as the original C++ code. | #include <iomanip>
#include <iostream>
bool is_prime(int n) {
if (n < 2)
return false;
if (n % 2 == 0)
return n == 2;
if (n % 3 == 0)
return n == 3;
for (int p = 5; p * p <= n; p += 4) {
if (n % p == 0)
return false;
p += 2;
if (n % p == 0)
... | using Primes
using Printf
function isdepolignac(n::Integer)
iseven(n) && return false
twopows = Iterators.map(x -> 2^x, 0:floor(Int, log2(n)))
return !any(twopows) do twopow
isprime(n - twopow)
end
end
function depolignacs()
naturals = Iterators.countfrom()
return Iterators.filter(is... |
Port the provided C++ code into Julia while preserving the original functionality. |
#include <iostream>
#include <vector>
#include <string>
#include <cmath>
std::string frmtPolynomial(std::vector<int> polynomial, bool remainder = false)
{
std::string r = "";
if (remainder)
{
r = " r: " + std::to_string(polynomial.back());
polynomial.pop_back();
}
std::string formatted = "";
int deg... | function divrem(dividend::Vector, divisor::Vector)
result = copy(dividend)
quotientlen = length(divisor) - 1
for i in 1:length(dividend)-quotientlen
if result[i] != 0
result[i] /= divisor[1]
for j in 1:quotientlen
result[i + j] -= divisor[j + 1] * result[i]
... |
Generate an equivalent Julia version of this C++ code. |
#include <iostream>
#include <vector>
#include <string>
#include <cmath>
std::string frmtPolynomial(std::vector<int> polynomial, bool remainder = false)
{
std::string r = "";
if (remainder)
{
r = " r: " + std::to_string(polynomial.back());
polynomial.pop_back();
}
std::string formatted = "";
int deg... | function divrem(dividend::Vector, divisor::Vector)
result = copy(dividend)
quotientlen = length(divisor) - 1
for i in 1:length(dividend)-quotientlen
if result[i] != 0
result[i] /= divisor[1]
for j in 1:quotientlen
result[i + j] -= divisor[j + 1] * result[i]
... |
Keep all operations the same but rewrite the snippet in Julia. |
#include "colorwheelwidget.h"
#include <QPainter>
#include <QPaintEvent>
#include <cmath>
namespace {
QColor hsvToRgb(int h, double s, double v) {
double hp = h/60.0;
double c = s * v;
double x = c * (1 - std::abs(std::fmod(hp, 2) - 1));
double m = v - c;
double r = 0, g = 0, b = 0;
if (hp <=... | using Gtk, Graphics, Colors
const win = GtkWindow("Color Wheel", 450, 450) |> (const can = @GtkCanvas())
set_gtk_property!(can, :expand, true)
@guarded draw(can) do widget
ctx = getgc(can)
h = height(can)
w = width(can)
center = (x = w / 2, y = h / 2)
anglestep = 1/w
for θ in 0:0.1:360
... |
Generate an equivalent Julia version of this C++ code. | #include <iomanip>
#include <iostream>
#include <gmpxx.h>
using big_int = mpz_class;
std::string to_string(const big_int& num, size_t n) {
std::string str = num.get_str();
size_t len = str.size();
if (len > n) {
str = str.substr(0, n / 2) + "..." + str.substr(len - n / 2);
str += " (";
... | using Primes
limitedprint(n) = (s = string(n); n = length(s); return n <= 40 ? s : s[1:20] * "..." * s[end-19:end] * " ($n digits)")
function showfactorialprimes(N)
for i in big"1":N
f = factorial(i)
isprime(f - 1) && println(lpad(i, 3), "! - 1 -> ", limitedprint(f - 1))
isprime(f + 1) && ... |
Change the programming language of this snippet from C++ to Julia without modifying what it does. | #include<iostream>
#include<string>
#include<boost/filesystem.hpp>
#include<boost/format.hpp>
#include<boost/iostreams/device/mapped_file.hpp>
#include<optional>
#include<algorithm>
#include<iterator>
#include<execution>
#include"dependencies/xxhash.hpp"
template<typename T, typename V, typename F>
size_t for_each_... | using Printf, Nettle
function find_duplicates(path::String, minsize::Int = 0)
filesdict = Dict{String,Array{NamedTuple}}()
for (root, dirs, files) in walkdir(path), fn in files
filepath = joinpath(root, fn)
filestats = stat(filepath)
filestats.size > minsize || continue
hash ... |
Write the same algorithm in Julia as shown in this C++ implementation. | #include <cmath>
#include <iostream>
#include <vector>
std::vector<int> generate_primes(int limit) {
std::vector<bool> sieve(limit >> 1, true);
for (int p = 3, s = 9; s < limit; p += 2) {
if (sieve[p >> 1]) {
for (int q = s; q < limit; q += p << 1)
sieve[q >> 1] = false;
... | using Primes
function primepi(N)
delta = round(Int, N^0.8)
return sum(i -> count(primesmask(i, min(i + delta - 1, N))), 1:delta:N)
end
@time for power in 0:9
println("10^", rpad(power, 5), primepi(10^power))
end
|
Preserve the algorithm and functionality while converting the code from C++ to Julia. | #include <array>
#include <iostream>
using digits = std::array<unsigned int, 10>;
digits get_digits(unsigned int n) {
digits d = {};
do {
++d[n % 10];
n /= 10;
} while (n > 0);
return d;
}
bool same_digits(unsigned int n) {
digits d = get_digits(n);
for (unsigned int i = 0, m... | n = minimum([n for n in 1:2000000 if sort(digits(2n)) == sort(digits(3n)) == sort(digits(4n)) == sort(digits(5n))== sort(digits(6n))])
println("n: $n, 2n: $(2n), 3n: $(3n), 4n: $(4n), 5n: $(5n), 6n: $(6n)")
|
Translate this program into Julia but keep the logic exactly as in C++. | #include <array>
#include <iostream>
using digits = std::array<unsigned int, 10>;
digits get_digits(unsigned int n) {
digits d = {};
do {
++d[n % 10];
n /= 10;
} while (n > 0);
return d;
}
bool same_digits(unsigned int n) {
digits d = get_digits(n);
for (unsigned int i = 0, m... | n = minimum([n for n in 1:2000000 if sort(digits(2n)) == sort(digits(3n)) == sort(digits(4n)) == sort(digits(5n))== sort(digits(6n))])
println("n: $n, 2n: $(2n), 3n: $(3n), 4n: $(4n), 5n: $(5n), 6n: $(6n)")
|
Produce a functionally identical Julia code for the snippet given in C++. | #include <gmpxx.h>
#include <primesieve.hpp>
#include <iostream>
using big_int = mpz_class;
std::string to_string(const big_int& num, size_t n) {
std::string str = num.get_str();
size_t len = str.size();
if (len > n) {
str = str.substr(0, n / 2) + "..." + str.substr(len - n / 2);
str += "... | using Primes
function wagstaffpair(p::Integer)
isodd(p) || return (false, nothing)
isprime(p) || return (false, nothing)
m = (2^big(p) + 1) ÷ 3
isprime(m) || return (false, nothing)
return (true, m)
end
function findn_wagstaff_pairs(n_to_find::T) where T <: Integer
pairs = Tuple{T, BigI... |
Translate this program into Julia but keep the logic exactly as in C++. | #include <gmpxx.h>
#include <primesieve.hpp>
#include <iostream>
using big_int = mpz_class;
std::string to_string(const big_int& num, size_t n) {
std::string str = num.get_str();
size_t len = str.size();
if (len > n) {
str = str.substr(0, n / 2) + "..." + str.substr(len - n / 2);
str += "... | using Primes
function wagstaffpair(p::Integer)
isodd(p) || return (false, nothing)
isprime(p) || return (false, nothing)
m = (2^big(p) + 1) ÷ 3
isprime(m) || return (false, nothing)
return (true, m)
end
function findn_wagstaff_pairs(n_to_find::T) where T <: Integer
pairs = Tuple{T, BigI... |
Convert the following code from C++ to Julia, ensuring the logic remains intact. | #include <iostream>
#include <cstdint>
typedef uint64_t integer;
integer reverse(integer n) {
integer rev = 0;
while (n > 0) {
rev = rev * 10 + (n % 10);
n /= 10;
}
return rev;
}
class palindrome_generator {
public:
palindrome_generator(int digit) : power_(10), next_(digit * pow... | import Base.iterate, Base.IteratorSize, Base.IteratorEltype
struct Palindrome x1::UInt8; x2::UInt8; outer::UInt8; end
Base.IteratorSize(p::Palindrome) = Base.IsInfinite()
Base.IteratorEltype(g::Palindrome) = Vector{Int8}
function Base.iterate(p::Palindrome, state=(UInt8[p.x1]))
arr, len = [p.outer; state; p.outer... |
Convert the following code from C++ to Julia, ensuring the logic remains intact. | #include <iostream>
#include <cstdint>
typedef uint64_t integer;
integer reverse(integer n) {
integer rev = 0;
while (n > 0) {
rev = rev * 10 + (n % 10);
n /= 10;
}
return rev;
}
class palindrome_generator {
public:
palindrome_generator(int digit) : power_(10), next_(digit * pow... | import Base.iterate, Base.IteratorSize, Base.IteratorEltype
struct Palindrome x1::UInt8; x2::UInt8; outer::UInt8; end
Base.IteratorSize(p::Palindrome) = Base.IsInfinite()
Base.IteratorEltype(g::Palindrome) = Vector{Int8}
function Base.iterate(p::Palindrome, state=(UInt8[p.x1]))
arr, len = [p.outer; state; p.outer... |
Keep all operations the same but rewrite the snippet in Julia. | #include <gmp.h>
#include <iostream>
using namespace std;
typedef unsigned long long int u64;
bool primality_pretest(u64 k) {
if (!(k % 3) || !(k % 5) || !(k % 7) || !(k % 11) ||
!(k % 13) || !(k % 17) || !(k % 19) || !(k % 23)
) {
return (k <= 23);
}
return true;
}
bool pr... | using Primes
function trial_pretest(k::UInt64)
if ((k % 3)==0 || (k % 5)==0 || (k % 7)==0 || (k % 11)==0 ||
(k % 13)==0 || (k % 17)==0 || (k % 19)==0 || (k % 23)==0)
return (k <= 23)
end
return true
end
function gcd_pretest(k::UInt64)
if (k <= 107)
return true
end
... |
Convert this C++ block to Julia, preserving its control flow and logic. | #include <cstdint>
#include <iostream>
#include <vector>
#include <primesieve.hpp>
void print_diffs(const std::vector<uint64_t>& vec) {
for (size_t i = 0, n = vec.size(); i != n; ++i) {
if (i != 0)
std::cout << " (" << vec[i] - vec[i - 1] << ") ";
std::cout << vec[i];
}
std::cou... | using Primes
function primediffseqs(maxnum = 1_000_000)
mprimes = primes(maxnum)
diffs = map(p -> mprimes[p[1] + 1] - p[2], enumerate(@view mprimes[begin:end-1]))
incstart, decstart, bestinclength, bestdeclength = 1, 1, 0, 0
for i in 1:length(diffs)-1
foundinc, founddec = false, false
f... |
Rewrite the snippet below in Julia so it works the same as the original C++ code. | #include <iomanip>
#include <iostream>
#include <vector>
#include <gmpxx.h>
std::vector<int> generate_primes(int limit) {
std::vector<bool> sieve(limit >> 1, true);
for (int p = 3, s = 9; s < limit; p += 2) {
if (sieve[p >> 1]) {
for (int q = s; q < limit; q += p << 1)
sieve... | using Primes
function wilsonprimes(limit = 11000)
sgn, facts = 1, accumulate(*, 1:limit, init = big"1")
println(" n: Wilson primes\n--------------------")
for n in 1:11
print(lpad(n, 2), ": ")
sgn = -sgn
for p in primes(limit)
if p > n && (facts[n < 2 ? 1 : n - 1] * fa... |
Convert the following code from C++ to Julia, ensuring the logic remains intact. | #include <iomanip>
#include <iostream>
#include <string>
#include <primesieve.hpp>
#include <gmpxx.h>
using big_int = mpz_class;
class sw_number_generator {
public:
sw_number_generator() { next(); }
void next();
const std::string& number() const { return number_; }
uint64_t prime() const { return pr... | using Primes
using Printf
ordi(n) = n == 1 ? "st" : n == 2 ? "nd" : "th"
function SmarandacheWellin()
pri = primes(12500)
sw = ""
pcount = 0
i = 1
println("The known Smarandache-Wellin primes are:")
while pcount < 8
sw *= string(pri[i])
if isprime(parse(BigInt, sw))
... |
Convert this C++ snippet to Julia and keep its semantics consistent. | #include <iomanip>
#include <iostream>
#include <string>
#include <primesieve.hpp>
#include <gmpxx.h>
using big_int = mpz_class;
class sw_number_generator {
public:
sw_number_generator() { next(); }
void next();
const std::string& number() const { return number_; }
uint64_t prime() const { return pr... | using Primes
using Printf
ordi(n) = n == 1 ? "st" : n == 2 ? "nd" : "th"
function SmarandacheWellin()
pri = primes(12500)
sw = ""
pcount = 0
i = 1
println("The known Smarandache-Wellin primes are:")
while pcount < 8
sw *= string(pri[i])
if isprime(parse(BigInt, sw))
... |
Can you help me rewrite this code in Julia instead of C++, keeping it the same logically? | #include <cassert>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <numeric>
#include <vector>
bool is_prime(unsigned int n) {
assert(n > 0 && n < 64);
return (1ULL << n) & 0x28208a20a08a28ac;
}
template <typename Iterator>
bool prime_triangle_row(Iterator begin, Iterator end) {
if (std:... | using Combinatorics, Primes
function primetriangle(nrows::Integer)
nrows < 2 && error("number of rows requested must be > 1")
pmask, spinlock = primesmask(2 * (nrows + 1)), Threads.SpinLock()
counts, rowstrings = [1; zeros(Int, nrows - 1)], ["" for _ in 1:nrows]
for r in 2:nrows
@Threads.thread... |
Translate the given C++ code snippet into Julia without altering its behavior. | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<bool> prime_sieve(int limit) {
std::vector<bool> sieve(limit, true);
if (limit > 0)
sieve[0] = false;
if (limit > 1)
sieve[1] = false;
for (int i = 4; i < limit; i += 2)
... | const SPHENIC_NUMBERS = Set{Int64}()
const NOT_SPHENIC_NUMBERS = Set{Int64}()
function issphenic(n::Int64)
n in SPHENIC_NUMBERS && return true
n in NOT_SPHENIC_NUMBERS && return false
nin = n
sqn = isqrt(nin)
npfactors = 0
isrepeat = false
i = 2
while n > 1 && !(npfactors == 0 && i >=... |
Generate a Julia translation of this C++ snippet without changing its computational steps. | #include <iomanip>
#include <iostream>
#include <sstream>
#include <utility>
#include <primesieve.hpp>
uint64_t digit_sum(uint64_t n) {
uint64_t sum = 0;
for (; n > 0; n /= 10)
sum += n % 10;
return sum;
}
class honaker_prime_generator {
public:
std::pair<uint64_t, uint64_t> next();
private:... | """ Rosetta code task: rosettacode.org/wiki/Honaker_primes """
using Formatting
using Primes
""" Get the sequence of Honaker primes as tuples with their primepi values first in tuple"""
honaker(lim) = [(i, p) for (i, p) in enumerate(primes(lim)) if sum(digits(p)) == sum(digits(i))]
println("First 50 Honaker primes:"... |
Ensure the translated Julia code behaves exactly like the original C++ snippet. | #include <boost/multiprecision/cpp_dec_float.hpp>
#include <iostream>
const char* names[] = { "Platinum", "Golden", "Silver", "Bronze", "Copper", "Nickel", "Aluminium", "Iron", "Tin", "Lead" };
template<const uint N>
void lucas(ulong b) {
std::cout << "Lucas sequence for " << names[b] << " ratio, where b = " << b... | using Formatting
import Base.iterate, Base.IteratorSize, Base.IteratorEltype, Base.Iterators.take
const metallicnames = ["Platinum", "Golden", "Silver", "Bronze", "Copper", "Nickel",
"Aluminium", "Iron", "Tin", "Lead"]
struct Lucas b::Int end
Base.IteratorSize(s::Lucas) = Base.IsInfinite()
Base.IteratorEltype(s::... |
Write the same code in Julia as shown below in C++. | #include <boost/multiprecision/cpp_dec_float.hpp>
#include <iostream>
const char* names[] = { "Platinum", "Golden", "Silver", "Bronze", "Copper", "Nickel", "Aluminium", "Iron", "Tin", "Lead" };
template<const uint N>
void lucas(ulong b) {
std::cout << "Lucas sequence for " << names[b] << " ratio, where b = " << b... | using Formatting
import Base.iterate, Base.IteratorSize, Base.IteratorEltype, Base.Iterators.take
const metallicnames = ["Platinum", "Golden", "Silver", "Bronze", "Copper", "Nickel",
"Aluminium", "Iron", "Tin", "Lead"]
struct Lucas b::Int end
Base.IteratorSize(s::Lucas) = Base.IsInfinite()
Base.IteratorEltype(s::... |
Convert this C++ snippet to Julia and keep its semantics consistent. | #include <iostream>
struct link
{
link* next;
int data;
link(int newItem, link* head)
: next{head}, data{newItem}{}
};
void PrintList(link* head)
{
if(!head) return;
std::cout << head->data << " ";
PrintList(head->next);
}
link* RemoveItem(int valueToRemove, link*&head)
{
for(link... | function Base.deleteat!(ll::LinkedList, index::Integer)
if isempty(ll) throw(BoundsError()) end
if index == 1
ll.head = ll.head.next
else
nd = ll.head
index -= 1
while index > 1 && !isa(nd.next, EmptyNode)
nd = nd.next
index -= 1
end
if... |
Change the programming language of this snippet from C++ to Julia without modifying what it does. | #include <chrono>
#include <cmath>
#include <iomanip>
#include <iostream>
#include <numeric>
#include <vector>
class prime_counter {
public:
explicit prime_counter(int limit);
int prime_count(int n) const { return n < 1 ? 0 : count_.at(n); }
private:
std::vector<int> count_;
};
prime_counter::prime_count... | using Primes
@time let
MASK = primesmask(625000)
PIVEC = accumulate(+, MASK)
PI(n) = n < 1 ? 0 : PIVEC[n]
function Ramanujan_prime(n)
maxposs = Int(ceil(4n * (log(4n) / log(2))))
for i in maxposs:-1:1
PI(i) - PI(i ÷ 2) < n && return i + 1
end
ret... |
Can you help me rewrite this code in Julia instead of C++, keeping it the same logically? | #include <chrono>
#include <cmath>
#include <iomanip>
#include <iostream>
#include <numeric>
#include <vector>
class prime_counter {
public:
explicit prime_counter(int limit);
int prime_count(int n) const { return n < 1 ? 0 : count_.at(n); }
private:
std::vector<int> count_;
};
prime_counter::prime_count... | using Primes
@time let
MASK = primesmask(625000)
PIVEC = accumulate(+, MASK)
PI(n) = n < 1 ? 0 : PIVEC[n]
function Ramanujan_prime(n)
maxposs = Int(ceil(4n * (log(4n) / log(2))))
for i in maxposs:-1:1
PI(i) - PI(i ÷ 2) < n && return i + 1
end
ret... |
Can you help me rewrite this code in Julia instead of C++, keeping it the same logically? | #include <iomanip>
#include <iostream>
#include <gmpxx.h>
using big_int = mpz_class;
class riordan_number_generator {
public:
big_int next();
private:
big_int a0_ = 1;
big_int a1_ = 0;
int n_ = 0;
};
big_int riordan_number_generator::next() {
int n = n_++;
if (n == 0)
return a0_;
... | """ julia example for rosettacode.org/wiki/Riordan_number """
using Formatting
const riordans = zeros(BigInt, 10000)
riordans[begin] = 1
for i in firstindex(riordans)+1:lastindex(riordans)-1
riordans[i + 1] = (i - 1) * (2 * riordans[i] + 3 * riordans[i - 1]) ÷ (i + 1)
end
for i in 0:31
print(rpad(format(ri... |
Port the provided C++ code into Julia while preserving the original functionality. | #include <iomanip>
#include <iostream>
#include <gmpxx.h>
using big_int = mpz_class;
class riordan_number_generator {
public:
big_int next();
private:
big_int a0_ = 1;
big_int a1_ = 0;
int n_ = 0;
};
big_int riordan_number_generator::next() {
int n = n_++;
if (n == 0)
return a0_;
... | """ julia example for rosettacode.org/wiki/Riordan_number """
using Formatting
const riordans = zeros(BigInt, 10000)
riordans[begin] = 1
for i in firstindex(riordans)+1:lastindex(riordans)-1
riordans[i + 1] = (i - 1) * (2 * riordans[i] + 3 * riordans[i - 1]) ÷ (i + 1)
end
for i in 0:31
print(rpad(format(ri... |
Preserve the algorithm and functionality while converting the code from C++ to Julia. | #include <iostream>
#include <list>
#include <string>
#include <vector>
using namespace std;
void PrintContainer(forward_iterator auto start, forward_iterator auto sentinel)
{
for(auto it = start; it != sentinel; ++it)
{
cout << *it << " ";
}
cout << "\n";
}
void FirstFourthFifth(input_iterator auto... | using DataStructures
function PrintContainer(iterator)
iter = Iterators.Stateful(iterator)
foreach(x -> print(x, ", "), Iterators.take(iter, length(iter) -1))
foreach(println, Iterators.take(iter, 1))
end
function FirstFourthFifth(iterator)
iter = Iterators.Stateful(iterator)
foreach(x -> print(x,... |
Ensure the translated Julia code behaves exactly like the original C++ snippet. | #include <iostream>
#include <list>
#include <string>
#include <vector>
using namespace std;
void PrintContainer(forward_iterator auto start, forward_iterator auto sentinel)
{
for(auto it = start; it != sentinel; ++it)
{
cout << *it << " ";
}
cout << "\n";
}
void FirstFourthFifth(input_iterator auto... | using DataStructures
function PrintContainer(iterator)
iter = Iterators.Stateful(iterator)
foreach(x -> print(x, ", "), Iterators.take(iter, length(iter) -1))
foreach(println, Iterators.take(iter, 1))
end
function FirstFourthFifth(iterator)
iter = Iterators.Stateful(iterator)
foreach(x -> print(x,... |
Preserve the algorithm and functionality while converting the code from C++ to Julia. | #include <future>
#include <iomanip>
#include <iostream>
#include <vector>
#include <gmpxx.h>
#include <primesieve.hpp>
std::vector<uint64_t> repunit_primes(uint32_t base,
const std::vector<uint64_t>& primes) {
std::vector<uint64_t> result;
for (uint64_t prime : primes) {
... | using Primes
repunitprimeinbase(n, base) = isprime(evalpoly(BigInt(base), [1 for _ in 1:n]))
for b in 2:40
println(rpad("Base $b:", 9), filter(n -> repunitprimeinbase(n, b), 1:2700))
end
|
Write the same code in Julia as shown below in C++. | #include <future>
#include <iomanip>
#include <iostream>
#include <vector>
#include <gmpxx.h>
#include <primesieve.hpp>
std::vector<uint64_t> repunit_primes(uint32_t base,
const std::vector<uint64_t>& primes) {
std::vector<uint64_t> result;
for (uint64_t prime : primes) {
... | using Primes
repunitprimeinbase(n, base) = isprime(evalpoly(BigInt(base), [1 for _ in 1:n]))
for b in 2:40
println(rpad("Base $b:", 9), filter(n -> repunitprimeinbase(n, b), 1:2700))
end
|
Rewrite the snippet below in Julia so it works the same as the original C++ code. | #include <algorithm>
#include <cmath>
#include <cstdint>
#include <cstdlib>
#include <cstring>
#include <iostream>
#include <string>
#include <vector>
#include <primesieve.hpp>
class prime_sieve {
public:
explicit prime_sieve(uint64_t limit);
bool is_prime(uint64_t n) const {
return n == 2 || ((n & 1) ... | using Primes
function maxprimebases(ndig, maxbase)
maxprimebases = [Int[]]
nwithbases = [0]
maxprime = 10^(ndig) - 1
for p in div(maxprime + 1, 10):maxprime
dig = digits(p)
bases = [b for b in 2:maxbase if (isprime(evalpoly(b, dig)) && all(i -> i < b, dig))]
if length(bases) > l... |
Generate an equivalent Julia version of this C++ code. | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <map>
#include <vector>
#include <primesieve.hpp>
class erdos_selfridge {
public:
explicit erdos_selfridge(int limit);
uint64_t get_prime(int index) const { return primes_[index].first; }
int get_category(int index);
... | using Primes
primefactors(n) = collect(keys(factor(n)))
function ErdösSelfridge(n)
highfactors = filter(>(3), primefactors(n + 1))
category = 1
while !isempty(highfactors)
highfactors = unique(reduce(vcat, [filter(>(3), primefactors(a + 1)) for a in highfactors]))
category += 1
end
... |
Rewrite the snippet below in Julia so it works the same as the original C++ code. | #include <primesieve.hpp>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <locale>
class composite_iterator {
public:
composite_iterator();
uint64_t next_composite();
private:
uint64_t composite;
uint64_t prime;
primesieve::iterator pi;
};
composite_iterator::composite_iterator... | using Primes
function getsequencematches(N, masksize = 1_000_000_000)
pmask = primesmask(masksize)
found, psum, csum, pindex, cindex, pcount, ccount = 0, 2, 4, 2, 4, 1, 1
incrementpsum() = (pindex += 1; if pmask[pindex] psum += pindex; pcount += 1 end)
incrementcsum() = (cindex += 1; if !pmask[cindex] ... |
Produce a functionally identical Julia code for the snippet given in C++. | #include <iostream>
#include <locale>
#include <unordered_map>
#include <primesieve.hpp>
class prime_gaps {
public:
prime_gaps() { last_prime_ = iterator_.next_prime(); }
uint64_t find_gap_start(uint64_t gap);
private:
primesieve::iterator iterator_;
uint64_t last_prime_;
std::unordered_map<uint64... | using Formatting
using Primes
function primegaps(limit = 10^9)
c(n) = format(n, commas=true)
pri = primes(limit * 5)
gapstarts = Dict{Int, Int}()
for i in 2:length(pri)
get!(gapstarts, pri[i] - pri[i - 1], pri[i - 1])
end
pm, gap1 = 10, 2
while true
while !haskey(gapstarts, ... |
Translate this program into Julia but keep the logic exactly as in C++. | #include <cmath>
#include <iostream>
#include <string>
using namespace std;
struct LoggingMonad
{
double Value;
string Log;
};
auto operator>>(const LoggingMonad& monad, auto f)
{
auto result = f(monad.Value);
return LoggingMonad{result.Value, monad.Log + "\n" + result.Log};
}
auto Root = [](doub... | struct Writer x::Real; msg::String; end
Base.show(io::IO, w::Writer) = print(io, w.msg, ": ", w.x)
unit(x, logmsg) = Writer(x, logmsg)
bind(f, fmsg, w) = unit(f(w.x), w.msg * ", " * fmsg)
f1(x) = 7x
f2(x) = x + 8
a = unit(3, "after intialization")
b = bind(f1, "after times 7 ", a)
c = bind(f2, "after plus 8", b)
... |
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