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Preserve the algorithm and functionality while converting the code from Python to C++.
from itertools import groupby, permutations def A036058(number): return ''.join( str(len(list(g))) + k for k,g in groupby(sorted(str(number), reverse=True)) ) def A036058_length(numberstring='0', printit=False): iterations, last_three, queue_index = 1, ([None] * 3), 0 def A036058(numb...
#include <iostream> #include <string> #include <map> #include <vector> #include <algorithm> std::map<char, int> _map; std::vector<std::string> _result; size_t longest = 0; void make_sequence( std::string n ) { _map.clear(); for( std::string::iterator i = n.begin(); i != n.end(); i++ ) _map.insert( std...
Preserve the algorithm and functionality while converting the code from Python to C++.
irregularOrdinals = { "one": "first", "two": "second", "three": "third", "five": "fifth", "eight": "eighth", "nine": "ninth", "twelve": "twelfth", } def num2ordinal(n): conversion = int(float(n)) num = spell_integer(conversion) hyphen = num.rsplit("-", 1) num = num.rsplit(" ", 1) ...
#include <iostream> #include <string> #include <cstdint> typedef std::uint64_t integer; struct number_names { const char* cardinal; const char* ordinal; }; const number_names small[] = { { "zero", "zeroth" }, { "one", "first" }, { "two", "second" }, { "three", "third" }, { "four", "fourth" }, { "five...
Convert the following code from Python to C++, ensuring the logic remains intact.
>>> def isSelfDescribing(n): s = str(n) return all(s.count(str(i)) == int(ch) for i, ch in enumerate(s)) >>> [x for x in range(4000000) if isSelfDescribing(x)] [1210, 2020, 21200, 3211000] >>> [(x, isSelfDescribing(x)) for x in (1210, 2020, 21200, 3211000, 42101000, 521001000, 6210001000)] [(1210, True), (2020, True...
#include <iostream> typedef unsigned long long bigint; using namespace std; class sdn { public: bool check( bigint n ) { int cc = digitsCount( n ); return compare( n, cc ); } void displayAll( bigint s ) { for( bigint y = 1; y < s; y++ ) if( check( y ) ) cout << y << " is a Self-...
Transform the following Python implementation into C++, maintaining the same output and logic.
def prepend(n, seq): return [n] + seq def check_seq(pos, seq, n, min_len): if pos > min_len or seq[0] > n: return min_len, 0 if seq[0] == n: return pos, 1 if pos < min_len: return try_perm(0, pos, seq, n, min_len) return min_len, 0 def try_perm(i, pos, seq, n, min_len): ...
#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 ...
Preserve the algorithm and functionality while converting the code from Python to C++.
def repeat(f,n): for i in range(n): f(); def procedure(): print("Example"); repeat(procedure,3);
template <typename Function> void repeat(Function f, unsigned int n) { for(unsigned int i=n; 0<i; i--) f(); }
Rewrite the snippet below in C++ so it works the same as the original Python code.
bar = '▁▂▃▄▅▆▇█' barcount = len(bar) def sparkline(numbers): mn, mx = min(numbers), max(numbers) extent = mx - mn sparkline = ''.join(bar[min([barcount - 1, int((n - mn) / extent * barcount)])] for n in numbers) return mn, mx, sparkline if __...
#include <iostream> #include <sstream> #include <vector> #include <cmath> #include <algorithm> #include <locale> class Sparkline { public: Sparkline(std::wstring &cs) : charset( cs ){ } virtual ~Sparkline(){ } void print(std::string spark){ const char *delim = "...
Port the following code from Python to C++ with equivalent syntax and logic.
>>> def extended_gcd(aa, bb): lastremainder, remainder = abs(aa), abs(bb) x, lastx, y, lasty = 0, 1, 1, 0 while remainder: lastremainder, (quotient, remainder) = remainder, divmod(lastremainder, remainder) x, lastx = lastx - quotient*x, x y, lasty = lasty - quotient*y, y return l...
#include <iostream> int mul_inv(int a, int b) { int b0 = b, t, q; int x0 = 0, x1 = 1; if (b == 1) return 1; while (a > 1) { q = a / b; t = b, b = a % b, a = t; t = x0, x0 = x1 - q * x0, x1 = t; } if (x1 < 0) x1 += b0; return x1; } int main(void) { std::cout << mul_inv(42, 2017) << std::endl; return 0...
Translate this program into C++ but keep the logic exactly as in Python.
from turtle import * from math import * iter = 3000 diskRatio = .5 factor = .5 + sqrt(1.25) screen = getscreen() (winWidth, winHeight) = screen.screensize() x = 0.0 y = 0.0 maxRad = pow(iter,factor)/iter; bgcolor("light blue") hideturtle() tracer(0, 0) for i in range(iter+1): r = pow(i,factor)/iter;...
#include <cmath> #include <fstream> #include <iostream> bool sunflower(const char* filename) { std::ofstream out(filename); if (!out) return false; constexpr int size = 600; constexpr int seeds = 5 * size; constexpr double pi = 3.14159265359; constexpr double phi = 1.61803398875; ...
Generate an equivalent C++ version of this Python code.
from collections import defaultdict costs = {'W': {'A': 16, 'B': 16, 'C': 13, 'D': 22, 'E': 17}, 'X': {'A': 14, 'B': 14, 'C': 13, 'D': 19, 'E': 15}, 'Y': {'A': 19, 'B': 19, 'C': 20, 'D': 23, 'E': 50}, 'Z': {'A': 50, 'B': 12, 'C': 50, 'D': 15, 'E': 11}} demand = {'A': 30, 'B': 20, 'C': 70...
#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) { ...
Rewrite this program in C++ while keeping its functionality equivalent to the Python version.
assert 1.008 == molar_mass('H') assert 2.016 == molar_mass('H2') assert 18.015 == molar_mass('H2O') assert 34.014 == molar_mass('H2O2') assert 34.014 == molar_mass('(HO)2') assert 142.036 == molar_mass('Na2SO4') assert ...
#include <iomanip> #include <iostream> #include <map> #include <string> #include <vector> std::map<std::string, double> atomicMass = { {"H", 1.008}, {"He", 4.002602}, {"Li", 6.94}, {"Be", 9.0121831}, {"B", 10.81}, {"C", 12.011}, {"N", 14.007}, {"O", 15.999}, {"F...
Generate a C++ translation of this Python snippet without changing its computational steps.
from operator import itemgetter DEBUG = False def spermutations(n): sign = 1 p = [[i, 0 if i == 0 else -1] for i in range(n)] if DEBUG: print ' yield tuple(pp[0] for pp in p), sign while any(pp[1] for pp in p): i1, (n1, d1) = max(((i, pp) for i, pp in enumerate(p) i...
#include <iostream> #include <vector> using namespace std; vector<int> UpTo(int n, int offset = 0) { vector<int> retval(n); for (int ii = 0; ii < n; ++ii) retval[ii] = ii + offset; return retval; } struct JohnsonTrotterState_ { vector<int> values_; vector<int> positions_; vector<bool> directions_; int sign...
Write a version of this Python function in C++ with identical behavior.
from itertools import count, islice def a131382(): return ( elemIndex(x)( productDigitSums(x) ) for x in count(1) ) def productDigitSums(n): return (digitSum(n * x) for x in count(0)) def main(): print( table(10)([ str(x) for x ...
#include <iomanip> #include <iostream> int digit_sum(int n) { int sum = 0; for (; n > 0; n /= 10) sum += n % 10; return sum; } int main() { for (int n = 1; n <= 70; ++n) { for (int m = 1;; ++m) { if (digit_sum(m * n) == n) { std::cout << std::setw(8) << m <<...
Change the programming language of this snippet from Python to C++ without modifying what it does.
from itertools import count, islice def a131382(): return ( elemIndex(x)( productDigitSums(x) ) for x in count(1) ) def productDigitSums(n): return (digitSum(n * x) for x in count(0)) def main(): print( table(10)([ str(x) for x ...
#include <iomanip> #include <iostream> int digit_sum(int n) { int sum = 0; for (; n > 0; n /= 10) sum += n % 10; return sum; } int main() { for (int n = 1; n <= 70; ++n) { for (int m = 1;; ++m) { if (digit_sum(m * n) == n) { std::cout << std::setw(8) << m <<...
Transform the following Python implementation into C++, maintaining the same output and logic.
def quad(top=2200): r = [False] * top ab = [False] * (top * 2)**2 for a in range(1, top): for b in range(a, top): ab[a * a + b * b] = True s = 3 for c in range(1, top): s1, s, s2 = s, s + 2, s + 2 for d in range(c + 1, top): if ab[s1]: ...
#include <iostream> #include <vector> constexpr int N = 2200; constexpr int N2 = 2 * N * N; int main() { using namespace std; vector<bool> found(N + 1); vector<bool> aabb(N2 + 1); int s = 3; for (int a = 1; a < N; ++a) { int aa = a * a; for (int b = 1; b < N; ++b) { ...
Preserve the algorithm and functionality while converting the code from Python to C++.
print("working...") print("Steady squares under 10.000 are:") limit = 10000 for n in range(1,limit): nstr = str(n) nlen = len(nstr) square = str(pow(n,2)) rn = square[-nlen:] if nstr == rn: print(str(n) + " " + str(square)) print("done...")
#include <iostream> using namespace std; bool steady(int n) { int mask = 1; for (int d = n; d != 0; d /= 10) mask *= 10; return (n * n) % mask == n; } int main() { for (int i = 1; i < 10000; i++) if (steady(i)) printf("%4d^2 = %8d\n", i, i * i); }
Preserve the algorithm and functionality while converting the code from Python to C++.
seed = 675248 def random(): global seed seed = int(str(seed ** 2).zfill(12)[3:9]) return seed for _ in range(5): print(random())
#include <exception> #include <iostream> using ulong = unsigned long; class MiddleSquare { private: ulong state; ulong div, mod; public: MiddleSquare() = delete; MiddleSquare(ulong start, ulong length) { if (length % 2) throw std::invalid_argument("length must be even"); div = mod = 1;...
Generate an equivalent C++ version of this Python code.
seed = 675248 def random(): global seed seed = int(str(seed ** 2).zfill(12)[3:9]) return seed for _ in range(5): print(random())
#include <exception> #include <iostream> using ulong = unsigned long; class MiddleSquare { private: ulong state; ulong div, mod; public: MiddleSquare() = delete; MiddleSquare(ulong start, ulong length) { if (length % 2) throw std::invalid_argument("length must be even"); div = mod = 1;...
Write the same algorithm in C++ as shown in this Python implementation.
from itertools import product def gen_dict(n_faces, n_dice): counts = [0] * ((n_faces + 1) * n_dice) for t in product(range(1, n_faces + 1), repeat=n_dice): counts[sum(t)] += 1 return counts, n_faces ** n_dice def beating_probability(n_sides1, n_dice1, n_sides2, n_dice2): c1, p1 = gen_dict(n_s...
#include <cmath> #include <cstdint> #include <iomanip> #include <iostream> #include <map> std::map<uint32_t, uint32_t> get_totals(uint32_t dice, uint32_t faces) { std::map<uint32_t, uint32_t> result; for (uint32_t i = 1; i <= faces; ++i) result.emplace(i, 1); for (uint32_t d = 2; d <= dice; ++d) {...
Please provide an equivalent version of this Python code in C++.
from itertools import product def gen_dict(n_faces, n_dice): counts = [0] * ((n_faces + 1) * n_dice) for t in product(range(1, n_faces + 1), repeat=n_dice): counts[sum(t)] += 1 return counts, n_faces ** n_dice def beating_probability(n_sides1, n_dice1, n_sides2, n_dice2): c1, p1 = gen_dict(n_s...
#include <cmath> #include <cstdint> #include <iomanip> #include <iostream> #include <map> std::map<uint32_t, uint32_t> get_totals(uint32_t dice, uint32_t faces) { std::map<uint32_t, uint32_t> result; for (uint32_t i = 1; i <= faces; ++i) result.emplace(i, 1); for (uint32_t d = 2; d <= dice; ++d) {...
Can you help me rewrite this code in C++ instead of Python, keeping it the same logically?
from logpy import * from logpy.core import lall import time def lefto(q, p, list): return membero((q,p), zip(list, list[1:])) def nexto(q, p, list): return conde([lefto(q, p, list)], [lefto(p, q, list)]) houses = var() zebraRules = lall( (eq, (var(), var(), var(), var(), var()), houses), (memb...
#include <stdio.h> #include <string.h> #define defenum(name, val0, val1, val2, val3, val4) \ enum name { val0, val1, val2, val3, val4 }; \ const char *name ## _str[] = { # val0, # val1, # val2, # val3, # val4 } defenum( Attrib, Color, Man, Drink, Animal, Smoke ); defenum( Colors, Red, Green, White, Yell...
Maintain the same structure and functionality when rewriting this code in C++.
IDLE 2.6.1 >>> >>> x,xi, y,yi = 2.0,0.5, 4.0,0.25 >>> >>> z = x + y >>> zi = 1.0 / (x + y) >>> >>> multiplier = lambda n1, n2: (lambda m: n1 * n2 * m) >>> >>> numlist = [x, y, z] >>> numlisti = [xi, yi, zi] >>> >>> [multiplier(inversen, n)(.5) for n, inversen in zip(numlist, numlisti)] [0.5, 0.5, 0.5] >>>
#include <array> #include <iostream> int main() { double x = 2.0; double xi = 0.5; double y = 4.0; double yi = 0.25; double z = x + y; double zi = 1.0 / ( x + y ); const std::array values{x, y, z}; const std::array inverses{xi, yi, zi}; auto multiplier = [](double a, double b) { return [=]...
Produce a language-to-language conversion: from Python to C++, same semantics.
IDLE 2.6.1 >>> >>> x,xi, y,yi = 2.0,0.5, 4.0,0.25 >>> >>> z = x + y >>> zi = 1.0 / (x + y) >>> >>> multiplier = lambda n1, n2: (lambda m: n1 * n2 * m) >>> >>> numlist = [x, y, z] >>> numlisti = [xi, yi, zi] >>> >>> [multiplier(inversen, n)(.5) for n, inversen in zip(numlist, numlisti)] [0.5, 0.5, 0.5] >>>
#include <array> #include <iostream> int main() { double x = 2.0; double xi = 0.5; double y = 4.0; double yi = 0.25; double z = x + y; double zi = 1.0 / ( x + y ); const std::array values{x, y, z}; const std::array inverses{xi, yi, zi}; auto multiplier = [](double a, double b) { return [=]...
Generate a C++ translation of this Python snippet without changing its computational steps.
from array import array from collections import deque import psyco data = [] nrows = 0 px = py = 0 sdata = "" ddata = "" def init(board): global data, nrows, sdata, ddata, px, py data = filter(None, board.splitlines()) nrows = max(len(r) for r in data) maps = {' ':' ', '.': '.', '@':' ', ' mapd =...
#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...
Please provide an equivalent version of this Python code in C++.
import mpmath as mp with mp.workdps(72): def integer_term(n): p = 532 * n * n + 126 * n + 9 return (p * 2**5 * mp.factorial(6 * n)) / (3 * mp.factorial(n)**6) def exponent_term(n): return -(mp.mpf("6.0") * n + 3) def nthterm(n): return integer_term(n) * mp.mpf("10.0")**ex...
#include <boost/multiprecision/cpp_dec_float.hpp> #include <boost/multiprecision/gmp.hpp> #include <iomanip> #include <iostream> namespace mp = boost::multiprecision; using big_int = mp::mpz_int; using big_float = mp::cpp_dec_float_100; using rational = mp::mpq_rational; big_int factorial(int n) { big_int result ...
Translate the given Python code snippet into C++ without altering its behavior.
import mpmath as mp with mp.workdps(72): def integer_term(n): p = 532 * n * n + 126 * n + 9 return (p * 2**5 * mp.factorial(6 * n)) / (3 * mp.factorial(n)**6) def exponent_term(n): return -(mp.mpf("6.0") * n + 3) def nthterm(n): return integer_term(n) * mp.mpf("10.0")**ex...
#include <boost/multiprecision/cpp_dec_float.hpp> #include <boost/multiprecision/gmp.hpp> #include <iomanip> #include <iostream> namespace mp = boost::multiprecision; using big_int = mp::mpz_int; using big_float = mp::cpp_dec_float_100; using rational = mp::mpq_rational; big_int factorial(int n) { big_int result ...
Maintain the same structure and functionality when rewriting this code in C++.
import mpmath as mp with mp.workdps(72): def integer_term(n): p = 532 * n * n + 126 * n + 9 return (p * 2**5 * mp.factorial(6 * n)) / (3 * mp.factorial(n)**6) def exponent_term(n): return -(mp.mpf("6.0") * n + 3) def nthterm(n): return integer_term(n) * mp.mpf("10.0")**ex...
#include <boost/multiprecision/cpp_dec_float.hpp> #include <boost/multiprecision/gmp.hpp> #include <iomanip> #include <iostream> namespace mp = boost::multiprecision; using big_int = mp::mpz_int; using big_float = mp::cpp_dec_float_100; using rational = mp::mpq_rational; big_int factorial(int n) { big_int result ...
Generate an equivalent C++ version of this Python code.
from itertools import chain, cycle, accumulate, combinations from typing import List, Tuple def factors5(n: int) -> List[int]: def prime_powers(n): for c in accumulate(chain([2, 1, 2], cycle([2,4]))): if c*c > n: break if n%c: continue d,p = (), c ...
#include <algorithm> #include <iostream> #include <numeric> #include <sstream> #include <vector> template <typename iterator> bool sum_of_any_subset(int n, iterator begin, iterator end) { if (begin == end) return false; if (std::find(begin, end, n) != end) return true; int total = std::acc...
Change the programming language of this snippet from Python to C++ without modifying what it does.
from sympy import sieve primelist = list(sieve.primerange(2,1000000)) listlen = len(primelist) pindex = 1 old_diff = -1 curr_list=[primelist[0]] longest_list=[] while pindex < listlen: diff = primelist[pindex] - primelist[pindex-1] if diff > old_diff: curr_list.append(primelist[pindex]) i...
#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...
Produce a functionally identical C++ code for the snippet given in Python.
from sympy import sieve primelist = list(sieve.primerange(2,1000000)) listlen = len(primelist) pindex = 1 old_diff = -1 curr_list=[primelist[0]] longest_list=[] while pindex < listlen: diff = primelist[pindex] - primelist[pindex-1] if diff > old_diff: curr_list.append(primelist[pindex]) i...
#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...
Change the programming language of this snippet from Python to C++ without modifying what it does.
2.3 .3 .3e4 .3e+34 .3e-34 2.e34
#include <iostream> int main() { auto double1 = 2.5; auto float1 = 2.5f; auto longdouble1 = 2.5l; auto double2 = 2.5e-3; auto float2 = 2.5e3f; auto double3 = 0x1p4; auto float3 = 0xbeefp-8f; std::cout << "\ndouble1: " << double1; std::cout << "\nfloat1: " << float1; std::cout <<...
Change the following Python code into C++ without altering its purpose.
from sys import stdout neighbours = [[-1, 0], [0, -1], [1, 0], [0, 1]] exists = [] lastNumber = 0 wid = 0 hei = 0 def find_next(pa, x, y, z): for i in range(4): a = x + neighbours[i][0] b = y + neighbours[i][1] if wid > a > -1 and hei > b > -1: if pa[a][b] == z: ...
#include <vector> #include <sstream> #include <iostream> #include <iterator> #include <cstdlib> #include <string> #include <bitset> using namespace std; typedef bitset<4> hood_t; struct node { int val; hood_t neighbors; }; class nSolver { public: void solve(vector<string>& puzz, int max_wid) { if (puzz.size()...
Port the provided Python code into C++ while preserving the original functionality.
from sys import stdout neighbours = [[-1, 0], [0, -1], [1, 0], [0, 1]] exists = [] lastNumber = 0 wid = 0 hei = 0 def find_next(pa, x, y, z): for i in range(4): a = x + neighbours[i][0] b = y + neighbours[i][1] if wid > a > -1 and hei > b > -1: if pa[a][b] == z: ...
#include <vector> #include <sstream> #include <iostream> #include <iterator> #include <cstdlib> #include <string> #include <bitset> using namespace std; typedef bitset<4> hood_t; struct node { int val; hood_t neighbors; }; class nSolver { public: void solve(vector<string>& puzz, int max_wid) { if (puzz.size()...
Convert this Python block to C++, preserving its control flow and logic.
from itertools import repeat from functools import reduce def churchZero(): return lambda f: identity def churchSucc(cn): return lambda f: compose(f)(cn(f)) def churchAdd(m): return lambda n: lambda f: compose(m(f))(n(f)) def churchMult(m): return lambda n: compose(m)(n) ...
#include <iostream> auto Zero = [](auto){ return [](auto x){ return x; }; }; auto True = [](auto a){ return [=](auto){ return a; }; }; auto False = [](auto){ return [](auto b){ return b; }; }; auto Successor(auto a) { return [=](auto f) { return [=](auto x) { return a(f)(f(x)); }; ...
Translate the given Python code snippet into C++ without altering its behavior.
from itertools import repeat from functools import reduce def churchZero(): return lambda f: identity def churchSucc(cn): return lambda f: compose(f)(cn(f)) def churchAdd(m): return lambda n: lambda f: compose(m(f))(n(f)) def churchMult(m): return lambda n: compose(m)(n) ...
#include <iostream> auto Zero = [](auto){ return [](auto x){ return x; }; }; auto True = [](auto a){ return [=](auto){ return a; }; }; auto False = [](auto){ return [](auto b){ return b; }; }; auto Successor(auto a) { return [=](auto f) { return [=](auto x) { return a(f)(f(x)); }; ...
Write the same algorithm in C++ as shown in this Python implementation.
from sys import stdout neighbours = [[2, 2], [-2, 2], [2, -2], [-2, -2], [3, 0], [0, 3], [-3, 0], [0, -3]] cnt = 0 pWid = 0 pHei = 0 def is_valid(a, b): return -1 < a < pWid and -1 < b < pHei def iterate(pa, x, y, v): if v > cnt: return 1 for i in range(len(neighbours)): a = x + neighb...
#include <vector> #include <sstream> #include <iostream> #include <iterator> #include <stdlib.h> #include <string.h> using namespace std; struct node { int val; unsigned char neighbors; }; class nSolver { public: nSolver() { dx[0] = -2; dy[0] = -2; dx[1] = -2; dy[1] = 2; dx[2] = 2; dy[2] = -2; dx...
Produce a functionally identical C++ code for the snippet given in Python.
from sys import stdout neighbours = [[2, 2], [-2, 2], [2, -2], [-2, -2], [3, 0], [0, 3], [-3, 0], [0, -3]] cnt = 0 pWid = 0 pHei = 0 def is_valid(a, b): return -1 < a < pWid and -1 < b < pHei def iterate(pa, x, y, v): if v > cnt: return 1 for i in range(len(neighbours)): a = x + neighb...
#include <vector> #include <sstream> #include <iostream> #include <iterator> #include <stdlib.h> #include <string.h> using namespace std; struct node { int val; unsigned char neighbors; }; class nSolver { public: nSolver() { dx[0] = -2; dy[0] = -2; dx[1] = -2; dy[1] = 2; dx[2] = 2; dy[2] = -2; dx...
Generate a C++ translation of this Python snippet without changing its computational steps.
from itertools import izip def gen_row(w, s): def gen_seg(o, sp): if not o: return [[2] * sp] return [[2] * x + o[0] + tail for x in xrange(1, sp - len(o) + 2) for tail in gen_seg(o[1:], sp - x)] return [x[1:] for x in gen_seg([[1] * i for i in ...
template<uint _N, uint _G> class Nonogram { enum class ng_val : char {X='#',B='.',V='?'}; template<uint _NG> struct N { N() {} N(std::vector<int> ni,const int l) : X{},B{},Tx{},Tb{},ng(ni),En{},gNG(l){} std::bitset<_NG> X, B, T, Tx, Tb; std::vector<int> ng; int En, gNG; void fn (con...
Can you help me rewrite this code in C++ instead of Python, keeping it the same logically?
from itertools import izip def gen_row(w, s): def gen_seg(o, sp): if not o: return [[2] * sp] return [[2] * x + o[0] + tail for x in xrange(1, sp - len(o) + 2) for tail in gen_seg(o[1:], sp - x)] return [x[1:] for x in gen_seg([[1] * i for i in ...
template<uint _N, uint _G> class Nonogram { enum class ng_val : char {X='#',B='.',V='?'}; template<uint _NG> struct N { N() {} N(std::vector<int> ni,const int l) : X{},B{},Tx{},Tb{},ng(ni),En{},gNG(l){} std::bitset<_NG> X, B, T, Tx, Tb; std::vector<int> ng; int En, gNG; void fn (con...
Change the following Python code into C++ without altering its purpose.
import re from random import shuffle, randint dirs = [[1, 0], [0, 1], [1, 1], [1, -1], [-1, 0], [0, -1], [-1, -1], [-1, 1]] n_rows = 10 n_cols = 10 grid_size = n_rows * n_cols min_words = 25 class Grid: def __init__(self): self.num_attempts = 0 self.cells = [['' for _ in range(n_cols)] for _ in r...
#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: ...
Please provide an equivalent version of this Python code in C++.
>>> class MyClassName: __private = 123 non_private = __private * 2 >>> mine = MyClassName() >>> mine.non_private 246 >>> mine.__private Traceback (most recent call last): File "<pyshell mine.__private AttributeError: 'MyClassName' object has no attribute '__private' >>> mine._MyClassName__private 123 >>>
#include <iostream> class CWidget; class CFactory { friend class CWidget; private: unsigned int m_uiCount; public: CFactory(); ~CFactory(); CWidget* GetWidget(); }; class CWidget { private: CFactory& m_parent; private: CWidget(); CWidget(const CWidget&); CWidget& operator=(const CWidget&); pub...
Can you help me rewrite this code in C++ instead of Python, keeping it the same logically?
>>> class MyClassName: __private = 123 non_private = __private * 2 >>> mine = MyClassName() >>> mine.non_private 246 >>> mine.__private Traceback (most recent call last): File "<pyshell mine.__private AttributeError: 'MyClassName' object has no attribute '__private' >>> mine._MyClassName__private 123 >>>
#include <iostream> class CWidget; class CFactory { friend class CWidget; private: unsigned int m_uiCount; public: CFactory(); ~CFactory(); CWidget* GetWidget(); }; class CWidget { private: CFactory& m_parent; private: CWidget(); CWidget(const CWidget&); CWidget& operator=(const CWidget&); pub...
Ensure the translated C++ code behaves exactly like the original Python snippet.
import pickle class Entity: def __init__(self): self.name = "Entity" def printName(self): print self.name class Person(Entity): def __init__(self): self.name = "Cletus" instance1 = Person() instance1.printName() instance2 = Entity() instance2.printName() target = file("objects.dat", "w") pickle...
#include <string> #include <fstream> #include <boost/serialization/string.hpp> #include <boost/archive/text_oarchive.hpp> #include <boost/archive/text_iarchive.hpp> #include <boost/serialization/base_object.hpp> #include <iostream> class Employee { public : Employee( ) { } Employee ( const std::string &dep ,...
Write a version of this Python function in C++ with identical behavior.
from __future__ import print_function class Node(object): def __init__(self): self.edges = {} self.link = None self.len = 0 class Eertree(object): def __init__(self): self.nodes = [] self.rto = Node() self.rte = Node() self.rto.link = self.rte.link = self.rto; self.rto.len = -1 self.r...
#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...
Write a version of this Python function in C++ with identical behavior.
from __future__ import print_function class Node(object): def __init__(self): self.edges = {} self.link = None self.len = 0 class Eertree(object): def __init__(self): self.nodes = [] self.rto = Node() self.rte = Node() self.rto.link = self.rte.link = self.rto; self.rto.len = -1 self.r...
#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...
Port the following code from Python to C++ with equivalent syntax and logic.
from __future__ import print_function class Node(object): def __init__(self): self.edges = {} self.link = None self.len = 0 class Eertree(object): def __init__(self): self.nodes = [] self.rto = Node() self.rte = Node() self.rto.link = self.rte.link = self.rto; self.rto.len = -1 self.r...
#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...
Can you help me rewrite this code in C++ instead of Python, keeping it the same logically?
from datetime import date def longYear(y): return 52 < date(y, 12, 28).isocalendar()[1] def main(): for year in [ x for x in range(2000, 1 + 2100) if longYear(x) ]: print(year) if __name__ == '__main__': main()
#include <stdio.h> #include <math.h> int p(int year) { return (int)((double)year + floor(year/4) - floor(year/100) + floor(year/400)) % 7; } int is_long_year(int year) { return p(year) == 4 || p(year - 1) == 3; } void print_long_years(int from, int to) { for (int year = from; year <= to; ++year) { if (is_long...
Ensure the translated C++ code behaves exactly like the original Python snippet.
from sympy import divisors from sympy.combinatorics.subsets import Subset def isZumkeller(n): d = divisors(n) s = sum(d) if not s % 2 and max(d) <= s/2: for x in range(1, 2**len(d)): if sum(Subset.unrank_binary(x, d).subset) == s/2: return True return False def ...
#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)...
Preserve the algorithm and functionality while converting the code from Python to C++.
base = {"name":"Rocket Skates", "price":12.75, "color":"yellow"} update = {"price":15.25, "color":"red", "year":1974} result = {**base, **update} print(result)
#include <iostream> #include <string> #include <map> template<typename map_type> map_type merge(const map_type& original, const map_type& update) { map_type result(update); result.insert(original.begin(), original.end()); return result; } int main() { typedef std::map<std::string, std::string> map; ...
Write a version of this Python function in C++ with identical behavior.
base = {"name":"Rocket Skates", "price":12.75, "color":"yellow"} update = {"price":15.25, "color":"red", "year":1974} result = {**base, **update} print(result)
#include <iostream> #include <string> #include <map> template<typename map_type> map_type merge(const map_type& original, const map_type& update) { map_type result(update); result.insert(original.begin(), original.end()); return result; } int main() { typedef std::map<std::string, std::string> map; ...
Write the same algorithm in C++ as shown in this Python implementation.
from itertools import count, islice from _pydecimal import getcontext, Decimal def metallic_ratio(b): m, n = 1, 1 while True: yield m, n m, n = m*b + n, m def stable(b, prec): def to_decimal(b): for m,n in metallic_ratio(b): yield Decimal(m)/Decimal(n) getcontext()...
#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...
Ensure the translated C++ code behaves exactly like the original Python snippet.
from itertools import count, islice from _pydecimal import getcontext, Decimal def metallic_ratio(b): m, n = 1, 1 while True: yield m, n m, n = m*b + n, m def stable(b, prec): def to_decimal(b): for m,n in metallic_ratio(b): yield Decimal(m)/Decimal(n) getcontext()...
#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...
Write the same algorithm in C++ as shown in this Python implementation.
import random, sys def makerule(data, context): rule = {} words = data.split(' ') index = context for word in words[index:]: key = ' '.join(words[index-context:index]) if key in rule: rule[key].append(word) else: rule[key] = [word] index...
#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...
Convert this Python snippet to C++ and keep its semantics consistent.
from collections import namedtuple, deque from pprint import pprint as pp inf = float('inf') Edge = namedtuple('Edge', ['start', 'end', 'cost']) class Graph(): def __init__(self, edges): self.edges = [Edge(*edge) for edge in edges] self.vertices = {e.start for e in self.edges} | {e.en...
#include <iostream> #include <vector> #include <string> #include <list> #include <limits> #include <set> #include <utility> #include <algorithm> #include <iterator> typedef int vertex_t; typedef double weight_t; const weight_t max_weight = std::numeric_limits<double>::infinity(); struct neighbor { vertex_t ...
Generate an equivalent C++ version of this Python code.
import copy, random def bitcount(n): return bin(n).count("1") def reoderingSign(i, j): k = i >> 1 sum = 0 while k != 0: sum += bitcount(k & j) k = k >> 1 return 1.0 if ((sum & 1) == 0) else -1.0 class Vector: def __init__(self, da): self.dims = da def dot(self, ot...
#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); ...
Ensure the translated C++ code behaves exactly like the original Python snippet.
class Node: def __init__(self, sub="", children=None): self.sub = sub self.ch = children or [] class SuffixTree: def __init__(self, str): self.nodes = [Node()] for i in range(len(str)): self.addSuffix(str[i:]) def addSuffix(self, suf): n = 0 i = ...
#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...
Generate an equivalent C++ version of this Python code.
class Node: def __init__(self, sub="", children=None): self.sub = sub self.ch = children or [] class SuffixTree: def __init__(self, str): self.nodes = [Node()] for i in range(len(str)): self.addSuffix(str[i:]) def addSuffix(self, suf): n = 0 i = ...
#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...
Can you help me rewrite this code in C++ instead of Python, keeping it the same logically?
myDict = { "hello": 13, "world": 31, "!" : 71 } for key, value in myDict.items(): print ("key = %s, value = %s" % (key, value)) for key in myDict: print ("key = %s" % key) for key in myDict.keys(): print ("key = %s" % key) for value in myDict.values(): print ("value = %s" % value)
#include <iostream> #include <map> #include <string> int main() { std::map<std::string, int> dict { {"One", 1}, {"Two", 2}, {"Three", 7} }; dict["Three"] = 3; std::cout << "One: " << dict["One"] << std::endl; std::cout << "Key/Value pairs: " << std::endl; for(auto& kv: dict) { std::cout <...
Translate the given Python code snippet into C++ without altering its behavior.
>>> class num(int): def __init__(self, b): if 1 <= b <= 10: return int.__init__(self+0) else: raise ValueError,"Value %s should be >=0 and <= 10" % b >>> x = num(3) >>> x = num(11) Traceback (most recent call last): File "<pyshell x = num(11) File "<pyshell...
#include <stdexcept> class tiny_int { public: tiny_int(int i): value(i) { if (value < 1) throw std::out_of_range("tiny_int: value smaller than 1"); if (value > 10) throw std::out_of_range("tiny_int: value larger than 10"); } operator int() const { return value; } tiny_int& ope...
Preserve the algorithm and functionality while converting the code from Python to C++.
from sympy.ntheory import factorint def D(n): if n < 0: return -D(-n) elif n < 2: return 0 else: fdict = factorint(n) if len(fdict) == 1 and 1 in fdict: return 1 return sum([n * e // p for p, e in fdict.items()]) for n in range(-99, 101): print('{:5...
#include <iomanip> #include <iostream> #include <boost/multiprecision/cpp_int.hpp> template <typename IntegerType> IntegerType arithmetic_derivative(IntegerType n) { bool negative = n < 0; if (negative) n = -n; if (n < 2) return 0; IntegerType sum = 0, count = 0, m = n; while ((m &...
Convert this Python block to C++, preserving its control flow and logic.
from itertools import permutations numList = [2,3,1] baseList = [] for i in numList: for j in range(0,i): baseList.append(i) stringDict = {'A':2,'B':3,'C':1} baseString="" for i in stringDict: for j in range(0,stringDict[i]): baseString+=i print("Permutations for " + str(baseList) + " :...
#include <algorithm> #include <iostream> int main() { std::string str("AABBBC"); int count = 0; do { std::cout << str << (++count % 10 == 0 ? '\n' : ' '); } while (std::next_permutation(str.begin(), str.end())); }
Port the following code from Python to C++ with equivalent syntax and logic.
def penrose(depth): print( <g id="A{d+1}" transform="translate(100, 0) scale(0.6180339887498949)"> <use href=" <use href=" </g> <g id="B{d+1}"> <use href=" <use href=" </g> <g id="G"> <use href=" <use href=" </g> </defs> <g transform="scale(2, 2)"> <use href=" <use href=" <use href=" <use hr...
#include <cmath> #include <cstdlib> #include <fstream> #include <iomanip> #include <iostream> #include <set> #include <sstream> #include <stack> #include <string> #include <tuple> int main() { std::ofstream out("penrose_tiling.svg"); if (!out) { std::cerr << "Cannot open output file.\n"; return...
Write the same code in C++ as shown below in Python.
from sympy import factorint sphenics1m, sphenic_triplets1m = [], [] for i in range(3, 1_000_000): d = factorint(i) if len(d) == 3 and sum(d.values()) == 3: sphenics1m.append(i) if len(sphenics1m) > 2 and i - sphenics1m[-3] == 2 and i - sphenics1m[-2] == 1: sphenic_triplets1m.app...
#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) ...
Keep all operations the same but rewrite the snippet in C++.
def to_tree(x, index=0, depth=1): so_far = [] while index < len(x): this = x[index] if this == depth: so_far.append(this) elif this > depth: index, deeper = to_tree(x, index, depth + 1) so_far.append(deeper) else: index -=1 break ...
#include <any> #include <iostream> #include <iterator> #include <vector> using namespace std; vector<any> MakeTree(input_iterator auto first, input_iterator auto last, int depth = 1) { vector<any> tree; while (first < last && depth <= *first) { if(*first == depth) { ...
Generate an equivalent C++ version of this Python code.
def to_tree(x, index=0, depth=1): so_far = [] while index < len(x): this = x[index] if this == depth: so_far.append(this) elif this > depth: index, deeper = to_tree(x, index, depth + 1) so_far.append(deeper) else: index -=1 break ...
#include <any> #include <iostream> #include <iterator> #include <vector> using namespace std; vector<any> MakeTree(input_iterator auto first, input_iterator auto last, int depth = 1) { vector<any> tree; while (first < last && depth <= *first) { if(*first == depth) { ...
Change the following Python code into C++ without altering its purpose.
def to_tree(x, index=0, depth=1): so_far = [] while index < len(x): this = x[index] if this == depth: so_far.append(this) elif this > depth: index, deeper = to_tree(x, index, depth + 1) so_far.append(deeper) else: index -=1 break ...
#include <any> #include <iostream> #include <iterator> #include <vector> using namespace std; vector<any> MakeTree(input_iterator auto first, input_iterator auto last, int depth = 1) { vector<any> tree; while (first < last && depth <= *first) { if(*first == depth) { ...
Translate the given Python code snippet into C++ without altering its behavior.
from __future__ import print_function import os import hashlib import datetime def FindDuplicateFiles(pth, minSize = 0, hashName = "md5"): knownFiles = {} for root, dirs, files in os.walk(pth): for fina in files: fullFina = os.path.join(root, fina) isSymLink = os.path.isli...
#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_...
Write the same algorithm in C++ as shown in this Python implementation.
from functools import reduce from itertools import count, islice def sylvester(): def go(n): return 1 + reduce( lambda a, x: a * go(x), range(0, n), 1 ) if 0 != n else 2 return map(go, count(0)) def main(): print("First 10 terms of OEI...
#include <iomanip> #include <iostream> #include <boost/rational.hpp> #include <boost/multiprecision/cpp_int.hpp> using integer = boost::multiprecision::cpp_int; using rational = boost::rational<integer>; integer sylvester_next(const integer& n) { return n * n - n + 1; } int main() { std::cout << "First 10 el...
Produce a functionally identical C++ code for the snippet given in Python.
from sys import stdout moves = [ [-1, -2], [1, -2], [-1, 2], [1, 2], [-2, -1], [-2, 1], [2, -1], [2, 1] ] def solve(pz, sz, sx, sy, idx, cnt): if idx > cnt: return 1 for i in range(len(moves)): x = sx + moves[i][0] y = sy + moves[i][1] if sz > x > -1 and sz > y > -1 an...
#include <vector> #include <sstream> #include <iostream> #include <iterator> #include <stdlib.h> #include <string.h> using namespace std; struct node { int val; unsigned char neighbors; }; class nSolver { public: nSolver() { dx[0] = -1; dy[0] = -2; dx[1] = -1; dy[1] = 2; dx[2] = 1; dy[2] = -2; dx...
Please provide an equivalent version of this Python code in C++.
from sys import stdout moves = [ [-1, -2], [1, -2], [-1, 2], [1, 2], [-2, -1], [-2, 1], [2, -1], [2, 1] ] def solve(pz, sz, sx, sy, idx, cnt): if idx > cnt: return 1 for i in range(len(moves)): x = sx + moves[i][0] y = sy + moves[i][1] if sz > x > -1 and sz > y > -1 an...
#include <vector> #include <sstream> #include <iostream> #include <iterator> #include <stdlib.h> #include <string.h> using namespace std; struct node { int val; unsigned char neighbors; }; class nSolver { public: nSolver() { dx[0] = -1; dy[0] = -2; dx[1] = -1; dy[1] = 2; dx[2] = 1; dy[2] = -2; dx...
Write a version of this Python function in C++ with identical behavior.
from sys import stdout moves = [ [-1, -2], [1, -2], [-1, 2], [1, 2], [-2, -1], [-2, 1], [2, -1], [2, 1] ] def solve(pz, sz, sx, sy, idx, cnt): if idx > cnt: return 1 for i in range(len(moves)): x = sx + moves[i][0] y = sy + moves[i][1] if sz > x > -1 and sz > y > -1 an...
#include <vector> #include <sstream> #include <iostream> #include <iterator> #include <stdlib.h> #include <string.h> using namespace std; struct node { int val; unsigned char neighbors; }; class nSolver { public: nSolver() { dx[0] = -1; dy[0] = -2; dx[1] = -1; dy[1] = 2; dx[2] = 1; dy[2] = -2; dx...
Keep all operations the same but rewrite the snippet in C++.
from __future__ import print_function def order_disjoint_list_items(data, items): itemindices = [] for item in set(items): itemcount = items.count(item) lastindex = [-1] for i in range(itemcount): lastindex.append(data.index(item, lastindex[-1] + 1)) it...
#include <iostream> #include <vector> #include <algorithm> #include <string> template <typename T> void print(const std::vector<T> v) { std::cout << "{ "; for (const auto& e : v) { std::cout << e << " "; } std::cout << "}"; } template <typename T> auto orderDisjointArrayItems(std::vector<T> M, std::vector...
Convert this Python block to C++, preserving its control flow and logic.
print()
#include <iostream> int main() { std::cout << R"EOF( A raw string begins with R, then a double-quote ("), then an optional identifier (here I've used "EOF"), then an opening parenthesis ('('). If you use an identifier, it cannot be longer than 16 characters, and it cannot contain a space, either op...
Rewrite the snippet below in C++ so it works the same as the original Python code.
print()
#include <iostream> int main() { std::cout << R"EOF( A raw string begins with R, then a double-quote ("), then an optional identifier (here I've used "EOF"), then an opening parenthesis ('('). If you use an identifier, it cannot be longer than 16 characters, and it cannot contain a space, either op...
Transform the following Python implementation into C++, maintaining the same output and logic.
print()
#include <iostream> int main() { std::cout << R"EOF( A raw string begins with R, then a double-quote ("), then an optional identifier (here I've used "EOF"), then an opening parenthesis ('('). If you use an identifier, it cannot be longer than 16 characters, and it cannot contain a space, either op...
Convert this Python block to C++, preserving its control flow and logic.
print()
#include <iostream> int main() { std::cout << R"EOF( A raw string begins with R, then a double-quote ("), then an optional identifier (here I've used "EOF"), then an opening parenthesis ('('). If you use an identifier, it cannot be longer than 16 characters, and it cannot contain a space, either op...
Generate an equivalent C++ version of this Python code.
from collections import defaultdict def hashJoin(table1, index1, table2, index2): h = defaultdict(list) for s in table1: h[s[index1]].append(s) return [(s, r) for r in table2 for s in h[r[index2]]] table1 = [(27, "Jonah"), (18, "Alan"), (28, "Glory"), (18, "...
#include <iostream> #include <string> #include <vector> #include <unordered_map> using tab_t = std::vector<std::vector<std::string>>; tab_t tab1 { {"27", "Jonah"} , {"18", "Alan"} , {"28", "Glory"} , {"18", "Popeye"} , {"28", "Alan"} }; tab_t tab2 { {"Jonah", "Whales"} , {"Jonah", "Spiders"} , {"Alan", "Ghosts"...
Produce a language-to-language conversion: from Python to C++, same semantics.
from collections import defaultdict def hashJoin(table1, index1, table2, index2): h = defaultdict(list) for s in table1: h[s[index1]].append(s) return [(s, r) for r in table2 for s in h[r[index2]]] table1 = [(27, "Jonah"), (18, "Alan"), (28, "Glory"), (18, "...
#include <iostream> #include <string> #include <vector> #include <unordered_map> using tab_t = std::vector<std::vector<std::string>>; tab_t tab1 { {"27", "Jonah"} , {"18", "Alan"} , {"28", "Glory"} , {"18", "Popeye"} , {"28", "Alan"} }; tab_t tab2 { {"Jonah", "Whales"} , {"Jonah", "Spiders"} , {"Alan", "Ghosts"...
Produce a language-to-language conversion: from Python to C++, same semantics.
from math import gcd from sympy import factorint def is_Achilles(n): p = factorint(n).values() return all(i > 1 for i in p) and gcd(*p) == 1 def is_strong_Achilles(n): return is_Achilles(n) and is_Achilles(totient(n)) def test_strong_Achilles(nachilles, nstrongachilles): print('First', nachill...
#include <algorithm> #include <chrono> #include <cmath> #include <cstdint> #include <iomanip> #include <iostream> #include <vector> #include <boost/multiprecision/cpp_int.hpp> using boost::multiprecision::uint128_t; template <typename T> void unique_sort(std::vector<T>& vector) { std::sort(vector.begin(), vector...
Translate this program into C++ but keep the logic exactly as in Python.
from math import gcd from sympy import factorint def is_Achilles(n): p = factorint(n).values() return all(i > 1 for i in p) and gcd(*p) == 1 def is_strong_Achilles(n): return is_Achilles(n) and is_Achilles(totient(n)) def test_strong_Achilles(nachilles, nstrongachilles): print('First', nachill...
#include <algorithm> #include <chrono> #include <cmath> #include <cstdint> #include <iomanip> #include <iostream> #include <vector> #include <boost/multiprecision/cpp_int.hpp> using boost::multiprecision::uint128_t; template <typename T> void unique_sort(std::vector<T>& vector) { std::sort(vector.begin(), vector...
Transform the following Python implementation into C++, maintaining the same output and logic.
def isPrime(n): for i in range(2, int(n**0.5) + 1): if n % i == 0: return False return True if __name__ == '__main__': for p in range(3, 999): if not isPrime(p): continue for q in range(p+1, 1000//p): if not isPrime(q): ...
#include <iomanip> #include <iostream> bool odd_square_free_semiprime(int n) { if ((n & 1) == 0) return false; int count = 0; for (int i = 3; i * i <= n; i += 2) { for (; n % i == 0; n /= i) { if (++count > 1) return false; } } return count == 1; ...
Keep all operations the same but rewrite the snippet in C++.
def isPrime(n): for i in range(2, int(n**0.5) + 1): if n % i == 0: return False return True if __name__ == '__main__': for p in range(3, 999): if not isPrime(p): continue for q in range(p+1, 1000//p): if not isPrime(q): ...
#include <iomanip> #include <iostream> bool odd_square_free_semiprime(int n) { if ((n & 1) == 0) return false; int count = 0; for (int i = 3; i * i <= n; i += 2) { for (; n % i == 0; n /= i) { if (++count > 1) return false; } } return count == 1; ...
Preserve the algorithm and functionality while converting the code from Python to C++.
import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import hsv_to_rgb as hsv def curve(axiom, rules, angle, depth): for _ in range(depth): axiom = ''.join(rules[c] if c in rules else c for c in axiom) a, x, y = 0, [0], [0] for c in axiom: match c: case '+'...
#include <cmath> #include <fstream> #include <iostream> #include <string> class sierpinski_curve { public: void write(std::ostream& out, int size, int length, int order); private: static std::string rewrite(const std::string& s); void line(std::ostream& out); void execute(std::ostream& out, const std:...
Rewrite the snippet below in C++ so it works the same as the original Python code.
import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import hsv_to_rgb as hsv def curve(axiom, rules, angle, depth): for _ in range(depth): axiom = ''.join(rules[c] if c in rules else c for c in axiom) a, x, y = 0, [0], [0] for c in axiom: match c: case '+'...
#include <cmath> #include <fstream> #include <iostream> #include <string> class sierpinski_curve { public: void write(std::ostream& out, int size, int length, int order); private: static std::string rewrite(const std::string& s); void line(std::ostream& out); void execute(std::ostream& out, const std:...
Convert this Python snippet to C++ and keep its semantics consistent.
import collections def MostFreqKHashing(inputString, K): occuDict = collections.defaultdict(int) for c in inputString: occuDict[c] += 1 occuList = sorted(occuDict.items(), key = lambda x: x[1], reverse = True) outputStr = ''.join(c + str(cnt) for c, cnt in occuList[:K]) return outputStr d...
#include <string> #include <vector> #include <map> #include <iostream> #include <algorithm> #include <utility> #include <sstream> std::string mostFreqKHashing ( const std::string & input , int k ) { std::ostringstream oss ; std::map<char, int> frequencies ; for ( char c : input ) { frequencies[ c ] = st...
Translate this program into C++ but keep the logic exactly as in Python.
from itertools import takewhile def palindromicPrimes(): def p(n): s = str(n) return s == s[::-1] return (n for n in primes() if p(n)) def main(): print('\n'.join( str(x) for x in takewhile( lambda n: 1000 > n, palindromicPrimes() ) ...
#include <algorithm> #include <cmath> #include <iomanip> #include <iostream> #include <string> unsigned int reverse(unsigned int base, unsigned int n) { unsigned int rev = 0; for (; n > 0; n /= base) rev = rev * base + (n % base); return rev; } class palindrome_generator { public: explicit pal...
Transform the following Python implementation into C++, maintaining the same output and logic.
from itertools import takewhile def palindromicPrimes(): def p(n): s = str(n) return s == s[::-1] return (n for n in primes() if p(n)) def main(): print('\n'.join( str(x) for x in takewhile( lambda n: 1000 > n, palindromicPrimes() ) ...
#include <algorithm> #include <cmath> #include <iomanip> #include <iostream> #include <string> unsigned int reverse(unsigned int base, unsigned int n) { unsigned int rev = 0; for (; n > 0; n /= base) rev = rev * base + (n % base); return rev; } class palindrome_generator { public: explicit pal...
Preserve the algorithm and functionality while converting the code from Python to C++.
import urllib.request from collections import Counter urllib.request.urlretrieve("http://wiki.puzzlers.org/pub/wordlists/unixdict.txt", "unixdict.txt") dictionary = open("unixdict.txt","r") wordList = dictionary.read().split('\n') dictionary.close() for word in wordList: if len(word)>10: frequency = Co...
#include <bitset> #include <cctype> #include <cstdlib> #include <fstream> #include <iomanip> #include <iostream> bool contains_all_vowels_once(const std::string& word) { std::bitset<5> vowels; for (char ch : word) { ch = std::tolower(static_cast<unsigned char>(ch)); size_t bit = 0; swit...
Generate a C++ translation of this Python snippet without changing its computational steps.
from numpy import Inf class MaxTropical: def __init__(self, x=0): self.x = x def __str__(self): return str(self.x) def __add__(self, other): return MaxTropical(max(self.x, other.x)) def __mul__(self, other): return MaxTropical(self.x + other.x) def __pow__(s...
#include <iostream> #include <optional> using namespace std; class TropicalAlgebra { optional<double> m_value; public: friend std::ostream& operator<<(std::ostream&, const TropicalAlgebra&); friend TropicalAlgebra pow(const TropicalAlgebra& base, unsigned int exponent) noexcept; Tr...
Write the same algorithm in C++ as shown in this Python implementation.
from numpy import Inf class MaxTropical: def __init__(self, x=0): self.x = x def __str__(self): return str(self.x) def __add__(self, other): return MaxTropical(max(self.x, other.x)) def __mul__(self, other): return MaxTropical(self.x + other.x) def __pow__(s...
#include <iostream> #include <optional> using namespace std; class TropicalAlgebra { optional<double> m_value; public: friend std::ostream& operator<<(std::ostream&, const TropicalAlgebra&); friend TropicalAlgebra pow(const TropicalAlgebra& base, unsigned int exponent) noexcept; Tr...
Translate the given Python code snippet into C++ without altering its behavior.
from random import randint from collections import namedtuple import random from pprint import pprint as pp from collections import Counter playercount = 2 maxscore = 100 maxgames = 100000 Game = namedtuple('Game', 'players, maxscore, rounds') Round = namedtuple('Round', 'who, start, scores, safe') class Play...
#include <windows.h> #include <iostream> #include <string> using namespace std; const int PLAYERS = 4, MAX_POINTS = 100; enum Moves { ROLL, HOLD }; class player { public: player() { current_score = round_score = 0; } void addCurrScore() { current_score += round_score; } ...
Rewrite the snippet below in C++ so it works the same as the original Python code.
from random import randint from collections import namedtuple import random from pprint import pprint as pp from collections import Counter playercount = 2 maxscore = 100 maxgames = 100000 Game = namedtuple('Game', 'players, maxscore, rounds') Round = namedtuple('Round', 'who, start, scores, safe') class Play...
#include <windows.h> #include <iostream> #include <string> using namespace std; const int PLAYERS = 4, MAX_POINTS = 100; enum Moves { ROLL, HOLD }; class player { public: player() { current_score = round_score = 0; } void addCurrScore() { current_score += round_score; } ...
Can you help me rewrite this code in C++ instead of Python, keeping it the same logically?
from __future__ import print_function def add_reverse(num, max_iter=1000): i, nums = 0, {num} while True: i, num = i+1, num + reverse_int(num) nums.add(num) if reverse_int(num) == num or i >= max_iter: break return nums def reverse_int(num): return int(str(num)...
#include <iostream> #include <map> #include <vector> #include <gmpxx.h> using integer = mpz_class; integer reverse(integer n) { integer rev = 0; while (n > 0) { rev = rev * 10 + (n % 10); n /= 10; } return rev; } void print_vector(const std::vector<integer>& vec) { if (vec.empty()...
Translate the given Python code snippet into C++ without altering its behavior.
from __future__ import print_function def add_reverse(num, max_iter=1000): i, nums = 0, {num} while True: i, num = i+1, num + reverse_int(num) nums.add(num) if reverse_int(num) == num or i >= max_iter: break return nums def reverse_int(num): return int(str(num)...
#include <iostream> #include <map> #include <vector> #include <gmpxx.h> using integer = mpz_class; integer reverse(integer n) { integer rev = 0; while (n > 0) { rev = rev * 10 + (n % 10); n /= 10; } return rev; } void print_vector(const std::vector<integer>& vec) { if (vec.empty()...
Convert the following code from Python to C++, ensuring the logic remains intact.
def p(n): return 9 < n and (9 < n % 16 or p(n // 16)) def main(): xs = [ str(n) for n in range(1, 1 + 500) if p(n) ] print(f'{len(xs)} matches for the predicate:\n') print( table(6)(xs) ) def chunksOf(n): def go(xs): return ( ...
#include <iomanip> #include <iostream> bool nondecimal(unsigned int n) { for (; n > 0; n >>= 4) { if ((n & 0xF) > 9) return true; } return false; } int main() { unsigned int count = 0; for (unsigned int n = 0; n < 501; ++n) { if (nondecimal(n)) { ++count; ...
Port the following code from Python to C++ with equivalent syntax and logic.
def p(n): return 9 < n and (9 < n % 16 or p(n // 16)) def main(): xs = [ str(n) for n in range(1, 1 + 500) if p(n) ] print(f'{len(xs)} matches for the predicate:\n') print( table(6)(xs) ) def chunksOf(n): def go(xs): return ( ...
#include <iomanip> #include <iostream> bool nondecimal(unsigned int n) { for (; n > 0; n >>= 4) { if ((n & 0xF) > 9) return true; } return false; } int main() { unsigned int count = 0; for (unsigned int n = 0; n < 501; ++n) { if (nondecimal(n)) { ++count; ...
Maintain the same structure and functionality when rewriting this code in C++.
def p(n): return 9 < n and (9 < n % 16 or p(n // 16)) def main(): xs = [ str(n) for n in range(1, 1 + 500) if p(n) ] print(f'{len(xs)} matches for the predicate:\n') print( table(6)(xs) ) def chunksOf(n): def go(xs): return ( ...
#include <iomanip> #include <iostream> bool nondecimal(unsigned int n) { for (; n > 0; n >>= 4) { if ((n & 0xF) > 9) return true; } return false; } int main() { unsigned int count = 0; for (unsigned int n = 0; n < 501; ++n) { if (nondecimal(n)) { ++count; ...
Generate a C++ translation of this Python snippet without changing its computational steps.
class Sequence(): def __init__(self, sequence_string): self.ranges = self.to_ranges(sequence_string) assert self.ranges == sorted(self.ranges), "Sequence order error" def to_ranges(self, txt): return [[int(x) for x in r.strip().split('-')] for r in txt.strip...
#include <algorithm> #include <iomanip> #include <iostream> #include <list> struct range { range(int lo, int hi) : low(lo), high(hi) {} int low; int high; }; std::ostream& operator<<(std::ostream& out, const range& r) { return out << r.low << '-' << r.high; } class ranges { public: ranges() {} ...
Translate this program into C++ but keep the logic exactly as in Python.
from math import isqrt def juggler(k, countdig=True, maxiters=1000): m, maxj, maxjpos = k, k, 0 for i in range(1, maxiters): m = isqrt(m) if m % 2 == 0 else isqrt(m * m * m) if m >= maxj: maxj, maxjpos = m, i if m == 1: print(f"{k: 9}{i: 6,}{maxjpos: 6}{len(str(...
#include <cassert> #include <iomanip> #include <iostream> #include <string> #include <gmpxx.h> using big_int = mpz_class; auto juggler(int n) { assert(n >= 1); int count = 0, max_count = 0; big_int a = n, max = n; while (a != 1) { if (a % 2 == 0) a = sqrt(a); else ...
Change the programming language of this snippet from Python to C++ without modifying what it does.
from math import isqrt def juggler(k, countdig=True, maxiters=1000): m, maxj, maxjpos = k, k, 0 for i in range(1, maxiters): m = isqrt(m) if m % 2 == 0 else isqrt(m * m * m) if m >= maxj: maxj, maxjpos = m, i if m == 1: print(f"{k: 9}{i: 6,}{maxjpos: 6}{len(str(...
#include <cassert> #include <iomanip> #include <iostream> #include <string> #include <gmpxx.h> using big_int = mpz_class; auto juggler(int n) { assert(n >= 1); int count = 0, max_count = 0; big_int a = n, max = n; while (a != 1) { if (a % 2 == 0) a = sqrt(a); else ...
Transform the following Python implementation into C++, maintaining the same output and logic.
import matplotlib.pyplot as plt import math def nextPoint(x, y, angle): a = math.pi * angle / 180 x2 = (int)(round(x + (1 * math.cos(a)))) y2 = (int)(round(y + (1 * math.sin(a)))) return x2, y2 def expand(axiom, rules, level): for l in range(0, level): a2 = "" for c in axiom: ...
#include <cmath> #include <fstream> #include <iostream> #include <string> class sierpinski_square { public: void write(std::ostream& out, int size, int length, int order); private: static std::string rewrite(const std::string& s); void line(std::ostream& out); void execute(std::ostream& out, const std...