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Translate this program into Python but keep the logic exactly as in Go.
package main import ( "fmt" "math" "math/cmplx" ) func fft(buf []complex128, n int) { out := make([]complex128, n) copy(out, buf) fft2(buf, out, n, 1) } func fft2(buf, out []complex128, n, step int) { if step < n { fft2(out, buf, n, step*2) fft2(out[step:], buf[step:], n, ...
import numpy import pprint h = [ [[-6, -8, -5, 9], [-7, 9, -6, -8], [2, -7, 9, 8]], [[7, 4, 4, -6], [9, 9, 4, -4], [-3, 7, -2, -3]]] f = [ [[-9, 5, -8], [3, 5, 1]], [[-1, -7, 2], [-5, -6, 6]], [[8, 5, 8],[-2, -6, -4]]] g = [ [ [54, 42, 53, -42, 85, -72], [...
Maintain the same structure and functionality when rewriting this code in Python.
package main import( "math" "fmt" ) func minOf(x, y uint) uint { if x < y { return x } return y } func throwDie(nSides, nDice, s uint, counts []uint) { if nDice == 0 { counts[s]++ return } for i := uint(1); i <= nSides; i++ { throwDie(nSides, nDice - 1,...
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...
Can you help me rewrite this code in Python instead of Go, keeping it the same logically?
package main import ( "fmt" "log" "strings" ) type HouseSet [5]*House type House struct { n Nationality c Colour a Animal d Drink s Smoke } type Nationality int8 type Colour int8 type Animal int8 type Drink int8 type Smoke int8 const ( Engli...
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...
Write the same algorithm in Python as shown in this Go implementation.
package main import ( "encoding/xml" "fmt" "io" "net/http" "net/url" ) const language = "Go" var baseQuery = "http: "&format=xml&list=categorymembers&cmlimit=100" func req(u string, foundCm func(string)) string { resp, err := http.Get(u) if err != nil { fmt.Println(err) ...
from operator import attrgetter from typing import Iterator import mwclient URL = 'www.rosettacode.org' API_PATH = '/mw/' def unimplemented_tasks(language: str, *, url: str, api_path: str) -> Iterator[str]: site = mwclient.Site(url, p...
Maintain the same structure and functionality when rewriting this code in Python.
package main import "fmt" func main() { x := 2. xi := .5 y := 4. yi := .25 z := x + y zi := 1 / (x + y) numbers := []float64{x, y, z} inverses := []float64{xi, yi, zi} mfs := make([]func(float64) float64, len(numbers)) for i := range mfs { mfs[i] = multiplie...
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] >>>
Generate a Python translation of this Go snippet without changing its computational steps.
package main import "fmt" func main() { x := 2. xi := .5 y := 4. yi := .25 z := x + y zi := 1 / (x + y) numbers := []float64{x, y, z} inverses := []float64{xi, yi, zi} mfs := make([]func(float64) float64, len(numbers)) for i := range mfs { mfs[i] = multiplie...
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] >>>
Convert the following code from Go to Python, ensuring the logic remains intact.
package main import ( "fmt" "strings" ) func main() { level := ` ####### # # # # #. # # #. $$ # #.$$ # #.# @# #######` fmt.Printf("level:%s\n", level) fmt.Printf("solution:\n%s\n", solve(level)) } func solve(board string) string { buffer = make([]byte, len(board)) width ...
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 =...
Transform the following Go implementation into Python, maintaining the same output and logic.
package main import ( "fmt" "math/big" "strings" ) func factorial(n int64) *big.Int { var z big.Int return z.MulRange(1, n) } var one = big.NewInt(1) var three = big.NewInt(3) var six = big.NewInt(6) var ten = big.NewInt(10) var seventy = big.NewInt(70) func almkvistGiullera(n int64, print bool)...
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...
Change the following Go code into Python without altering its purpose.
package main import ( "fmt" "math/big" "strings" ) func factorial(n int64) *big.Int { var z big.Int return z.MulRange(1, n) } var one = big.NewInt(1) var three = big.NewInt(3) var six = big.NewInt(6) var ten = big.NewInt(10) var seventy = big.NewInt(70) func almkvistGiullera(n int64, print bool)...
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...
Rewrite the snippet below in Python so it works the same as the original Go code.
package main import ( "fmt" "math/big" "strings" ) func factorial(n int64) *big.Int { var z big.Int return z.MulRange(1, n) } var one = big.NewInt(1) var three = big.NewInt(3) var six = big.NewInt(6) var ten = big.NewInt(10) var seventy = big.NewInt(70) func almkvistGiullera(n int64, print bool)...
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...
Ensure the translated Python code behaves exactly like the original Go snippet.
package main import ( "fmt" "rcu" ) func powerset(set []int) [][]int { if len(set) == 0 { return [][]int{{}} } head := set[0] tail := set[1:] p1 := powerset(tail) var p2 [][]int for _, s := range powerset(tail) { h := []int{head} h = append(h, s...) ...
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 ...
Keep all operations the same but rewrite the snippet in Python.
package main import ( "fmt" "rcu" ) const LIMIT = 999999 var primes = rcu.Primes(LIMIT) func longestSeq(dir string) { pd := 0 longSeqs := [][]int{{2}} currSeq := []int{2} for i := 1; i < len(primes); i++ { d := primes[i] - primes[i-1] if (dir == "ascending" && d <= pd) || (di...
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...
Keep all operations the same but rewrite the snippet in Python.
package main import ( "fmt" "sort" "strconv" "strings" ) var example1 = []string{ "00,00,00,00,00,00,00,00,00", "00,00,46,45,00,55,74,00,00", "00,38,00,00,43,00,00,78,00", "00,35,00,00,00,00,00,71,00", "00,00,33,00,00,00,59,00,00", "00,17,00,00,00,00,00,67,00", "00,18,00,00...
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: ...
Translate the given Go code snippet into Python without altering its behavior.
package main import ( "fmt" "sort" "strconv" "strings" ) var example1 = []string{ "00,00,00,00,00,00,00,00,00", "00,00,46,45,00,55,74,00,00", "00,38,00,00,43,00,00,78,00", "00,35,00,00,00,00,00,71,00", "00,00,33,00,00,00,59,00,00", "00,17,00,00,00,00,00,67,00", "00,18,00,00...
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: ...
Translate the given Go code snippet into Python without altering its behavior.
package main import "fmt" type any = interface{} type fn func(any) any type church func(fn) fn func zero(f fn) fn { return func(x any) any { return x } } func (c church) succ() church { return func(f fn) fn { return func(x any) any { return f(c(f)(x)) } } } fun...
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) ...
Can you help me rewrite this code in Python instead of Go, keeping it the same logically?
package main import "fmt" type any = interface{} type fn func(any) any type church func(fn) fn func zero(f fn) fn { return func(x any) any { return x } } func (c church) succ() church { return func(f fn) fn { return func(x any) any { return f(c(f)(x)) } } } fun...
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) ...
Rewrite this program in Python while keeping its functionality equivalent to the Go version.
package main import ( "fmt" "sort" ) var board = []string{ ".00.00.", "0000000", "0000000", ".00000.", "..000..", "...0...", } var moves = [][2]int{ {-3, 0}, {0, 3}, {3, 0}, {0, -3}, {2, 2}, {2, -2}, {-2, 2}, {-2, -2}, } var grid [][]int var totalToFill = 0 func solve(r, c,...
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...
Transform the following Go implementation into Python, maintaining the same output and logic.
package main import ( "fmt" "sort" ) var board = []string{ ".00.00.", "0000000", "0000000", ".00000.", "..000..", "...0...", } var moves = [][2]int{ {-3, 0}, {0, 3}, {3, 0}, {0, -3}, {2, 2}, {2, -2}, {-2, 2}, {-2, -2}, } var grid [][]int var totalToFill = 0 func solve(r, c,...
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...
Rewrite the snippet below in Python so it works the same as the original Go code.
package main import ( "fmt" "sort" ) var board = []string{ ".00.00.", "0000000", "0000000", ".00000.", "..000..", "...0...", } var moves = [][2]int{ {-3, 0}, {0, 3}, {3, 0}, {0, -3}, {2, 2}, {2, -2}, {-2, 2}, {-2, -2}, } var grid [][]int var totalToFill = 0 func solve(r, c,...
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...
Translate this program into Python but keep the logic exactly as in Go.
package main import ( "fmt" "strings" ) type BitSet []bool func (bs BitSet) and(other BitSet) { for i := range bs { if bs[i] && other[i] { bs[i] = true } else { bs[i] = false } } } func (bs BitSet) or(other BitSet) { for i := range bs { if ...
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 ...
Translate this program into Python but keep the logic exactly as in Go.
package main import ( "fmt" "strings" ) type BitSet []bool func (bs BitSet) and(other BitSet) { for i := range bs { if bs[i] && other[i] { bs[i] = true } else { bs[i] = false } } } func (bs BitSet) or(other BitSet) { for i := range bs { if ...
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 ...
Convert this Go snippet to Python and keep its semantics consistent.
package main import ( "bufio" "fmt" "log" "math/rand" "os" "regexp" "strings" "time" ) var dirs = [][]int{{1, 0}, {0, 1}, {1, 1}, {1, -1}, {-1, 0}, {0, -1}, {-1, -1}, {-1, 1}} const ( nRows = 10 nCols = nRows gridSize = nRows * nCols minWords = 25 ) var ( re...
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...
Preserve the algorithm and functionality while converting the code from Go to Python.
package main import ( "bufio" "errors" "fmt" "os" "reflect" "unsafe" ) type foobar struct { Exported int unexported int } func main() { obj := foobar{12, 42} fmt.Println("obj:", obj) examineAndModify(&obj) fmt.Println("obj:", obj) anotherExample() } func examineAndModify(any interface{}) { v...
>>> 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 >>>
Change the programming language of this snippet from Go to Python without modifying what it does.
package main import ( "bufio" "errors" "fmt" "os" "reflect" "unsafe" ) type foobar struct { Exported int unexported int } func main() { obj := foobar{12, 42} fmt.Println("obj:", obj) examineAndModify(&obj) fmt.Println("obj:", obj) anotherExample() } func examineAndModify(any interface{}) { v...
>>> 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 >>>
Convert the following code from Go to Python, ensuring the logic remains intact.
package main import ( "encoding/gob" "fmt" "os" ) type printable interface { print() } func main() { animals := []printable{ &Animal{Alive: true}, &Cat{}, &Lab{ Dog: Dog{Animal: Animal{Alive: true}}, Color: "yellow", }, &Colli...
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...
Translate this program into Python but keep the logic exactly as in Go.
package main import "fmt" func main() { tree := eertree([]byte("eertree")) fmt.Println(subPalindromes(tree)) } type edges map[byte]int type node struct { length int edges suffix int } const evenRoot = 0 const oddRoot = 1 func eertree(s []byte) []node { tree := []node{ evenRoot: {le...
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...
Write a version of this Go function in Python with identical behavior.
package main import "fmt" func main() { tree := eertree([]byte("eertree")) fmt.Println(subPalindromes(tree)) } type edges map[byte]int type node struct { length int edges suffix int } const evenRoot = 0 const oddRoot = 1 func eertree(s []byte) []node { tree := []node{ evenRoot: {le...
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...
Please provide an equivalent version of this Go code in Python.
package main import ( "fmt" "time" ) func main() { centuries := []string{"20th", "21st", "22nd"} starts := []int{1900, 2000, 2100} for i := 0; i < len(centuries); i++ { var longYears []int fmt.Printf("\nLong years in the %s century:\n", centuries[i]) for j := starts[i]; j ...
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()
Change the following Go code into Python without altering its purpose.
package main import "fmt" func getDivisors(n int) []int { divs := []int{1, n} for i := 2; i*i <= n; i++ { if n%i == 0 { j := n / i divs = append(divs, i) if i != j { divs = append(divs, j) } } } return divs } func sum(div...
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 ...
Can you help me rewrite this code in Python instead of Go, keeping it the same logically?
package main import "fmt" type assoc map[string]interface{} func merge(base, update assoc) assoc { result := make(assoc) for k, v := range base { result[k] = v } for k, v := range update { result[k] = v } return result } func main() { base := assoc{"name": "Rocket Skates"...
base = {"name":"Rocket Skates", "price":12.75, "color":"yellow"} update = {"price":15.25, "color":"red", "year":1974} result = {**base, **update} print(result)
Ensure the translated Python code behaves exactly like the original Go snippet.
package main import "fmt" type assoc map[string]interface{} func merge(base, update assoc) assoc { result := make(assoc) for k, v := range base { result[k] = v } for k, v := range update { result[k] = v } return result } func main() { base := assoc{"name": "Rocket Skates"...
base = {"name":"Rocket Skates", "price":12.75, "color":"yellow"} update = {"price":15.25, "color":"red", "year":1974} result = {**base, **update} print(result)
Please provide an equivalent version of this Go code in Python.
package main import "fmt" type assoc map[string]interface{} func merge(base, update assoc) assoc { result := make(assoc) for k, v := range base { result[k] = v } for k, v := range update { result[k] = v } return result } func main() { base := assoc{"name": "Rocket Skates"...
base = {"name":"Rocket Skates", "price":12.75, "color":"yellow"} update = {"price":15.25, "color":"red", "year":1974} result = {**base, **update} print(result)
Can you help me rewrite this code in Python instead of Go, keeping it the same logically?
package main import ( "fmt" "math/big" ) var names = [10]string{"Platinum", "Golden", "Silver", "Bronze", "Copper", "Nickel", "Aluminium", "Iron", "Tin", "Lead"} func lucas(b int64) { fmt.Printf("Lucas sequence for %s ratio, where b = %d:\n", names[b], b) fmt.Print("First 15 elements: ") var ...
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()...
Port the provided Go code into Python while preserving the original functionality.
package main import ( "fmt" "math/big" ) var names = [10]string{"Platinum", "Golden", "Silver", "Bronze", "Copper", "Nickel", "Aluminium", "Iron", "Tin", "Lead"} func lucas(b int64) { fmt.Printf("Lucas sequence for %s ratio, where b = %d:\n", names[b], b) fmt.Print("First 15 elements: ") var ...
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()...
Change the programming language of this snippet from Go to Python without modifying what it does.
package main import ( "bufio" "flag" "fmt" "io" "log" "math/rand" "os" "strings" "time" "unicode" "unicode/utf8" ) func main() { log.SetFlags(0) log.SetPrefix("markov: ") input := flag.String("in", "alice_oz.txt", "input file") n := flag.Int("n", 2, "number of words to use as prefix") runs := flag.Int...
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...
Write the same code in Python as shown below in Go.
package main import ( "container/heap" "fmt" ) type PriorityQueue struct { items []Vertex m map[Vertex]int pr map[Vertex]int } func (pq *PriorityQueue) Len() int { return len(pq.items) } func (pq *PriorityQueue) Less(i, j int) bool { return pq.pr[pq.items[i]] < pq.pr[pq.items[j]] } func (pq ...
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...
Rewrite this program in Python while keeping its functionality equivalent to the Go version.
package main import ( "fmt" "math/rand" "time" ) type vector []float64 func e(n uint) vector { if n > 4 { panic("n must be less than 5") } result := make(vector, 32) result[1<<n] = 1.0 return result } func cdot(a, b vector) vector { return mul(vector{0.5}, add(mul(a, b), ...
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...
Generate an equivalent Python version of this Go code.
package main import "fmt" func main() { vis(buildTree("banana$")) } type tree []node type node struct { sub string ch []int } func buildTree(s string) tree { t := tree{node{}} for i := range s { t = t.addSuffix(s[i:]) } return t } func (t tree) addSuffix(suf string) tree {...
class Node: def __init__(self, sub="", children=None): self.sub = sub self.ch = children or [] class SuffixTree: def __init__(self, str): self.nodes = [Node()] for i in range(len(str)): self.addSuffix(str[i:]) def addSuffix(self, suf): n = 0 i = ...
Port the provided Go code into Python while preserving the original functionality.
package main import "fmt" func main() { vis(buildTree("banana$")) } type tree []node type node struct { sub string ch []int } func buildTree(s string) tree { t := tree{node{}} for i := range s { t = t.addSuffix(s[i:]) } return t } func (t tree) addSuffix(suf string) tree {...
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 = ...
Convert this Go block to Python, preserving its control flow and logic.
myMap := map[string]int { "hello": 13, "world": 31, "!" : 71 } for key, value := range myMap { fmt.Printf("key = %s, value = %d\n", key, value) } for key := range myMap { fmt.Printf("key = %s\n", key) } for _, value := range myMap { fmt.Printf("value = %d\n", value) }
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)
Generate a Python translation of this Go snippet without changing its computational steps.
package main import "fmt" type TinyInt int func NewTinyInt(i int) TinyInt { if i < 1 { i = 1 } else if i > 10 { i = 10 } return TinyInt(i) } func (t1 TinyInt) Add(t2 TinyInt) TinyInt { return NewTinyInt(int(t1) + int(t2)) } func (t1 TinyInt) Sub(t2 TinyInt) TinyInt { return ...
>>> 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...
Produce a functionally identical Python code for the snippet given in Go.
package main import ( "fmt" "rcu" ) func D(n float64) float64 { if n < 0 { return -D(-n) } if n < 2 { return 0 } var f []int if n < 1e19 { f = rcu.PrimeFactors(int(n)) } else { g := int(n / 100) f = rcu.PrimeFactors(g) f = append(f, [...
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...
Convert the following code from Go to Python, ensuring the logic remains intact.
package main import "fmt" func shouldSwap(s []byte, start, curr int) bool { for i := start; i < curr; i++ { if s[i] == s[curr] { return false } } return true } func findPerms(s []byte, index, n int, res *[]string) { if index >= n { *res = append(*res, string(s)) ...
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) + " :...
Transform the following Go implementation into Python, maintaining the same output and logic.
package main import ( "github.com/fogleman/gg" "math" ) type tiletype int const ( kite tiletype = iota dart ) type tile struct { tt tiletype x, y float64 angle, size float64 } var gr = (1 + math.Sqrt(5)) / 2 const theta = math.Pi / 5 func setupPrototiles(w, h int) []...
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...
Maintain the same structure and functionality when rewriting this code in Python.
package main import ( "fmt" "math" "rcu" "sort" ) func main() { const limit = 1000000 limit2 := int(math.Cbrt(limit)) primes := rcu.Primes(limit / 6) pc := len(primes) var sphenic []int fmt.Println("Sphenic numbers less than 1,000:") for i := 0; i < pc-2; i++ { if ...
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...
Convert this Go snippet to Python and keep its semantics consistent.
package main import "fmt" type any = interface{} func toTree(list []int) any { s := []any{[]any{}} for _, n := range list { for n != len(s) { if n > len(s) { inner := []any{} s[len(s)-1] = append(s[len(s)-1].([]any), inner) s = append(s, inn...
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 ...
Preserve the algorithm and functionality while converting the code from Go to Python.
package main import "fmt" type any = interface{} func toTree(list []int) any { s := []any{[]any{}} for _, n := range list { for n != len(s) { if n > len(s) { inner := []any{} s[len(s)-1] = append(s[len(s)-1].([]any), inner) s = append(s, inn...
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 ...
Convert this Go snippet to Python and keep its semantics consistent.
package main import ( "fmt" "crypto/md5" "io/ioutil" "log" "os" "path/filepath" "sort" "time" ) type fileData struct { filePath string info os.FileInfo } type hash [16]byte func check(err error) { if err != nil { log.Fatal(err) } } func checksum(filePath ...
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...
Convert the following code from Go to Python, ensuring the logic remains intact.
package main import ( "fmt" "math/big" ) func main() { one := big.NewInt(1) two := big.NewInt(2) next := new(big.Int) sylvester := []*big.Int{two} prod := new(big.Int).Set(two) count := 1 for count < 10 { next.Add(prod, one) sylvester = append(sylvester, new(big.Int...
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...
Translate this program into Python but keep the logic exactly as in Go.
package main import "fmt" var moves = [][2]int{ {-1, -2}, {1, -2}, {-1, 2}, {1, 2}, {-2, -1}, {-2, 1}, {2, -1}, {2, 1}, } var board1 = " xxx " + " x xx " + " xxxxxxx" + "xxx x x" + "x x xxx" + "sxxxxxx " + " xx x " + " xxx " var board2 = ".....s.x....." + ".....x.x......
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...
Please provide an equivalent version of this Go code in Python.
package main import "fmt" var moves = [][2]int{ {-1, -2}, {1, -2}, {-1, 2}, {1, 2}, {-2, -1}, {-2, 1}, {2, -1}, {2, 1}, } var board1 = " xxx " + " x xx " + " xxxxxxx" + "xxx x x" + "x x xxx" + "sxxxxxx " + " xx x " + " xxx " var board2 = ".....s.x....." + ".....x.x......
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...
Write a version of this Go function in Python with identical behavior.
package main import ( "fmt" "sort" "strings" ) type indexSort struct { val sort.Interface ind []int } func (s indexSort) Len() int { return len(s.ind) } func (s indexSort) Less(i, j int) bool { return s.ind[i] < s.ind[j] } func (s indexSort) Swap(i, j int) { s.val.Swap(s.ind[i], s.ind[j]) s.ind[i], ...
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...
Produce a functionally identical Python code for the snippet given in Go.
package main import "fmt" func main() { tableA := []struct { value int key string }{ {27, "Jonah"}, {18, "Alan"}, {28, "Glory"}, {18, "Popeye"}, {28, "Alan"}, } tableB := []struct { key string value string }{ {"Jonah", "Whales"}, {"Jonah"...
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, "...
Change the following Go code into Python without altering its purpose.
package main import ( "fmt" "math" "sort" ) func totient(n int) int { tot := n i := 2 for i*i <= n { if n%i == 0 { for n%i == 0 { n /= i } tot -= tot / i } if i == 2 { i = 1 } i += 2 } ...
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...
Ensure the translated Python code behaves exactly like the original Go snippet.
package main import ( "fmt" "math" "sort" ) func totient(n int) int { tot := n i := 2 for i*i <= n { if n%i == 0 { for n%i == 0 { n /= i } tot -= tot / i } if i == 2 { i = 1 } i += 2 } ...
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...
Port the following code from Go to Python with equivalent syntax and logic.
package main import ( "fmt" "rcu" "sort" ) func main() { primes := rcu.Primes(333) var oss []int for i := 1; i < len(primes)-1; i++ { for j := i + 1; j < len(primes); j++ { n := primes[i] * primes[j] if n >= 1000 { break } ...
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): ...
Please provide an equivalent version of this Go code in Python.
package main import ( "fmt" "rcu" "sort" ) func main() { primes := rcu.Primes(333) var oss []int for i := 1; i < len(primes)-1; i++ { for j := i + 1; j < len(primes); j++ { n := primes[i] * primes[j] if n >= 1000 { break } ...
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): ...
Rewrite this program in Python while keeping its functionality equivalent to the Go version.
package main import ( "github.com/fogleman/gg" "math" ) var ( width = 770.0 height = 770.0 dc = gg.NewContext(int(width), int(height)) ) var cx, cy, h float64 func lineTo(newX, newY float64) { dc.LineTo(newX-width/2+h, height-newY+2*h) cx, cy = newX, newY } func lineN() { lineTo(cx...
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 '+'...
Change the following Go code into Python without altering its purpose.
package main import ( "github.com/fogleman/gg" "math" ) var ( width = 770.0 height = 770.0 dc = gg.NewContext(int(width), int(height)) ) var cx, cy, h float64 func lineTo(newX, newY float64) { dc.LineTo(newX-width/2+h, height-newY+2*h) cx, cy = newX, newY } func lineN() { lineTo(cx...
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 '+'...
Transform the following Go implementation into Python, maintaining the same output and logic.
package main import ( "fmt" "sort" ) type cf struct { c rune f int } func reverseStr(s string) string { runes := []rune(s) for i, j := 0, len(runes)-1; i < j; i, j = i+1, j-1 { runes[i], runes[j] = runes[j], runes[i] } return string(runes) } func indexOfCf(cfs []cf, r rune) i...
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...
Rewrite the snippet below in Python so it works the same as the original Go code.
package main import ( "fmt" "sort" ) type cf struct { c rune f int } func reverseStr(s string) string { runes := []rune(s) for i, j := 0, len(runes)-1; i < j; i, j = i+1, j-1 { runes[i], runes[j] = runes[j], runes[i] } return string(runes) } func indexOfCf(cfs []cf, r rune) i...
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...
Translate this program into Python but keep the logic exactly as in Go.
package main import ( "fmt" "rcu" ) func reversed(n int) int { rev := 0 for n > 0 { rev = rev*10 + n%10 n /= 10 } return rev } func main() { primes := rcu.Primes(99999) var pals []int for _, p := range primes { if p == reversed(p) { pals = appen...
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() ) ...
Write the same algorithm in Python as shown in this Go implementation.
package main import ( "fmt" "rcu" ) func reversed(n int) int { rev := 0 for n > 0 { rev = rev*10 + n%10 n /= 10 } return rev } func main() { primes := rcu.Primes(99999) var pals []int for _, p := range primes { if p == reversed(p) { pals = appen...
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() ) ...
Translate this program into Python but keep the logic exactly as in Go.
package main import ( "bytes" "fmt" "io/ioutil" "log" "unicode/utf8" ) func main() { wordList := "unixdict.txt" b, err := ioutil.ReadFile(wordList) if err != nil { log.Fatal("Error reading file") } bwords := bytes.Fields(b) var words []string for _, bword := ran...
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...
Port the following code from Go to Python with equivalent syntax and logic.
package main import ( "fmt" "log" "math" ) var MinusInf = math.Inf(-1) type MaxTropical struct{ r float64 } func newMaxTropical(r float64) MaxTropical { if math.IsInf(r, 1) || math.IsNaN(r) { log.Fatal("Argument must be a real number or negative infinity.") } return MaxTropical{r} } ...
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...
Generate an equivalent Python version of this Go code.
package pig import ( "fmt" "math/rand" "time" ) type ( PlayerID int MessageID int StrategyID int PigGameData struct { player PlayerID turnCount int turnRollCount int turnScore int lastRoll int scores [2]int verbose bool } ) const ( gameOver = iota pigged...
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...
Write the same code in Python as shown below in Go.
package pig import ( "fmt" "math/rand" "time" ) type ( PlayerID int MessageID int StrategyID int PigGameData struct { player PlayerID turnCount int turnRollCount int turnScore int lastRoll int scores [2]int verbose bool } ) const ( gameOver = iota pigged...
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...
Can you help me rewrite this code in Python instead of Go, keeping it the same logically?
package main import ( "flag" "fmt" "math" "math/big" "os" ) var maxRev = big.NewInt(math.MaxUint64 / 10) var ten = big.NewInt(10) func reverseInt(v *big.Int, result *big.Int) *big.Int { if v.Cmp(maxRev) <= 0 { result.SetUint64(reverseUint64(v.Uint64())) } else { if true { s := reverseString(...
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)...
Generate a Python translation of this Go snippet without changing its computational steps.
package main import ( "flag" "fmt" "math" "math/big" "os" ) var maxRev = big.NewInt(math.MaxUint64 / 10) var ten = big.NewInt(10) func reverseInt(v *big.Int, result *big.Int) *big.Int { if v.Cmp(maxRev) <= 0 { result.SetUint64(reverseUint64(v.Uint64())) } else { if true { s := reverseString(...
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)...
Keep all operations the same but rewrite the snippet in Python.
package main import ( "flag" "fmt" "math" "math/big" "os" ) var maxRev = big.NewInt(math.MaxUint64 / 10) var ten = big.NewInt(10) func reverseInt(v *big.Int, result *big.Int) *big.Int { if v.Cmp(maxRev) <= 0 { result.SetUint64(reverseUint64(v.Uint64())) } else { if true { s := reverseString(...
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)...
Please provide an equivalent version of this Go code in Python.
package main import ( "fmt" "strconv" "strings" ) func main() { const nondecimal = "abcdef" c := 0 for i := int64(0); i <= 500; i++ { hex := strconv.FormatInt(i, 16) if strings.ContainsAny(nondecimal, hex) { fmt.Printf("%3d ", i) c++ if c%15 ...
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 ( ...
Generate an equivalent Python version of this Go code.
package main import ( "fmt" "strconv" "strings" ) func main() { const nondecimal = "abcdef" c := 0 for i := int64(0); i <= 500; i++ { hex := strconv.FormatInt(i, 16) if strings.ContainsAny(nondecimal, hex) { fmt.Printf("%3d ", i) c++ if c%15 ...
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 ( ...
Write a version of this Go function in Python with identical behavior.
package main import ( "fmt" "strings" ) type rng struct{ from, to int } type fn func(rngs *[]rng, n int) func (r rng) String() string { return fmt.Sprintf("%d-%d", r.from, r.to) } func rangesAdd(rngs []rng, n int) []rng { if len(rngs) == 0 { rngs = append(rngs, rng{n, n}) return rngs ...
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...
Translate the given Go code snippet into Python without altering its behavior.
package main import ( "fmt" "log" big "github.com/ncw/gmp" "rcu" ) var zero = new(big.Int) var one = big.NewInt(1) var two = big.NewInt(2) func juggler(n int64) (int, int, *big.Int, int) { if n < 1 { log.Fatal("Starting value must be a positive integer.") } count := 0 max...
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(...
Produce a language-to-language conversion: from Go to Python, same semantics.
package main import ( "fmt" "log" big "github.com/ncw/gmp" "rcu" ) var zero = new(big.Int) var one = big.NewInt(1) var two = big.NewInt(2) func juggler(n int64) (int, int, *big.Int, int) { if n < 1 { log.Fatal("Starting value must be a positive integer.") } count := 0 max...
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(...
Produce a functionally identical Python code for the snippet given in Go.
package main import ( "github.com/fogleman/gg" "github.com/trubitsyn/go-lindenmayer" "log" "math" ) const twoPi = 2 * math.Pi var ( width = 770.0 height = 770.0 dc = gg.NewContext(int(width), int(height)) ) var cx, cy, h, theta float64 func main() { dc.SetRGB(0, 0, 1) dc.C...
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: ...
Change the following Go code into Python without altering its purpose.
package main import ( "fmt" "math" "sort" ) const adj = 0.0001 var primes = []uint64{ 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, } func gcd(x, y uint64) uint64 { for y != 0 { x, y = y, x%y } return x } func isSquareFree(x ui...
from primesieve import primes import math def primepowers(k, upper_bound): ub = int(math.pow(upper_bound, 1/k) + .5) res = [(1,)] for p in primes(ub): a = [p**k] u = upper_bound // a[-1] while u >= p: a.append(a[-1]*p) u //= p res.append(tuple(a)) ...
Change the programming language of this snippet from Go to Python without modifying what it does.
package main import ( "fmt" "math" "sort" ) const adj = 0.0001 var primes = []uint64{ 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97, } func gcd(x, y uint64) uint64 { for y != 0 { x, y = y, x%y } return x } func isSquareFree(x ui...
from primesieve import primes import math def primepowers(k, upper_bound): ub = int(math.pow(upper_bound, 1/k) + .5) res = [(1,)] for p in primes(ub): a = [p**k] u = upper_bound // a[-1] while u >= p: a.append(a[-1]*p) u //= p res.append(tuple(a)) ...
Can you help me rewrite this code in Python instead of Go, keeping it the same logically?
package main import ( "fmt" "log" "os" "os/exec" ) func reverseBytes(bytes []byte) { for i, j := 0, len(bytes)-1; i < j; i, j = i+1, j-1 { bytes[i], bytes[j] = bytes[j], bytes[i] } } func check(err error) { if err != nil { log.Fatal(err) } } func main() { in, err ...
infile = open('infile.dat', 'rb') outfile = open('outfile.dat', 'wb') while True: onerecord = infile.read(80) if len(onerecord) < 80: break onerecordreversed = bytes(reversed(onerecord)) outfile.write(onerecordreversed) infile.close() outfile.close()
Convert this Go snippet to Python and keep its semantics consistent.
package main import ( "bytes" "fmt" "io/ioutil" "log" "unicode/utf8" ) func main() { wordList := "unixdict.txt" b, err := ioutil.ReadFile(wordList) if err != nil { log.Fatal("Error reading file") } bwords := bytes.Fields(b) count := 0 for _, bword := range bword...
import urllib.request 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)>5 and word[:3].lower()==word[-3:].lower(): print(wo...
Convert this Go block to Python, preserving its control flow and logic.
package main import "fmt" var factors []int var inc = []int{4, 2, 4, 2, 4, 6, 2, 6} func primeFactors(n int) { factors = factors[:0] factors = append(factors, 2) last := 2 n /= 2 for n%3 == 0 { if last == 3 { factors = factors[:0] return } last = ...
from math import sqrt def isGiuga(m): n = m f = 2 l = sqrt(n) while True: if n % f == 0: if ((m / f) - 1) % f != 0: return False n /= f if f > n: return True else: f += 1 if f > l: ...
Write the same algorithm in Python as shown in this Go implementation.
package main import ( "fmt" "math/big" ) func div(dividend, divisor []*big.Rat) (quotient, remainder []*big.Rat) { out := make([]*big.Rat, len(dividend)) for i, c := range dividend { out[i] = new(big.Rat).Set(c) } for i := 0; i < len(dividend)-(len(divisor)-1); i++ { out[i].Quo...
from __future__ import print_function from __future__ import division def extended_synthetic_division(dividend, divisor): out = list(dividend) normalizer = divisor[0] for i in xrange(len(dividend)-(len(divisor)-1)): out[i] /= normalizer coef...
Convert this Go block to Python, preserving its control flow and logic.
package main import ( "fmt" "math/big" ) func div(dividend, divisor []*big.Rat) (quotient, remainder []*big.Rat) { out := make([]*big.Rat, len(dividend)) for i, c := range dividend { out[i] = new(big.Rat).Set(c) } for i := 0; i < len(dividend)-(len(divisor)-1); i++ { out[i].Quo...
from __future__ import print_function from __future__ import division def extended_synthetic_division(dividend, divisor): out = list(dividend) normalizer = divisor[0] for i in xrange(len(dividend)-(len(divisor)-1)): out[i] /= normalizer coef...
Change the following Go code into Python without altering its purpose.
package main import ( "bytes" "fmt" "io/ioutil" "log" "sort" "strings" ) func main() { wordList := "unixdict.txt" b, err := ioutil.ReadFile(wordList) if err != nil { log.Fatal("Error reading file") } bwords := bytes.Fields(b) words := make([]string, len(bwords))...
import urllib.request 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() oddWordSet = set({}) for word in wordList: if len(word)>=9 and word[::2] in wordList: ...
Convert this Go snippet to Python and keep its semantics consistent.
package main import ( "bytes" "fmt" "io/ioutil" "log" "sort" "strings" ) func main() { wordList := "unixdict.txt" b, err := ioutil.ReadFile(wordList) if err != nil { log.Fatal("Error reading file") } bwords := bytes.Fields(b) words := make([]string, len(bwords))...
import urllib.request 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() oddWordSet = set({}) for word in wordList: if len(word)>=9 and word[::2] in wordList: ...
Convert this Go snippet to Python and keep its semantics consistent.
package main import ( "fmt" "io" "os" "strings" ) type nNode struct { name string children []nNode } type iNode struct { level int name string } func printNest(n nNode, level int, w io.Writer) { if level == 0 { fmt.Fprintln(w, "\n==Nest form==\n") } fmt.Fprin...
from pprint import pprint as pp def to_indent(node, depth=0, flat=None): if flat is None: flat = [] if node: flat.append((depth, node[0])) for child in node[1]: to_indent(child, depth + 1, flat) return flat def to_nest(lst, depth=0, level=None): if level is None: le...
Port the provided Go code into Python while preserving the original functionality.
package main import ( "fmt" "io" "os" "strings" ) type nNode struct { name string children []nNode } type iNode struct { level int name string } func printNest(n nNode, level int, w io.Writer) { if level == 0 { fmt.Fprintln(w, "\n==Nest form==\n") } fmt.Fprin...
from pprint import pprint as pp def to_indent(node, depth=0, flat=None): if flat is None: flat = [] if node: flat.append((depth, node[0])) for child in node[1]: to_indent(child, depth + 1, flat) return flat def to_nest(lst, depth=0, level=None): if level is None: le...
Translate this program into Python but keep the logic exactly as in Go.
package main import ( "fmt" "strings" ) func main() { s := "abracadabra" ss := []byte(s) var ixs []int for ix, c := range s { if c == 'a' { ixs = append(ixs, ix) } } repl := "ABaCD" for i := 0; i < 5; i++ { ss[ixs[i]] = repl[i] } s = stri...
from collections import defaultdict rep = {'a' : {1 : 'A', 2 : 'B', 4 : 'C', 5 : 'D'}, 'b' : {1 : 'E'}, 'r' : {2 : 'F'}} def trstring(oldstring, repdict): seen, newchars = defaultdict(lambda:1, {}), [] for c in oldstring: i = seen[c] newchars.append(repdict[c][i] if c in repdict and i in repd...
Ensure the translated Python code behaves exactly like the original Go snippet.
package main import ( "fmt" "strings" ) func main() { s := "abracadabra" ss := []byte(s) var ixs []int for ix, c := range s { if c == 'a' { ixs = append(ixs, ix) } } repl := "ABaCD" for i := 0; i < 5; i++ { ss[ixs[i]] = repl[i] } s = stri...
from collections import defaultdict rep = {'a' : {1 : 'A', 2 : 'B', 4 : 'C', 5 : 'D'}, 'b' : {1 : 'E'}, 'r' : {2 : 'F'}} def trstring(oldstring, repdict): seen, newchars = defaultdict(lambda:1, {}), [] for c in oldstring: i = seen[c] newchars.append(repdict[c][i] if c in repdict and i in repd...
Can you help me rewrite this code in Python instead of Go, keeping it the same logically?
package main import ( "fmt" big "github.com/ncw/gmp" "rcu" "strings" ) func main() { limit := 2700 primes := rcu.Primes(limit) s := new(big.Int) for b := 2; b <= 36; b++ { var rPrimes []int for _, p := range primes { s.SetString(strings.Repeat("1", p), b) ...
from sympy import isprime for b in range(2, 17): print(b, [n for n in range(2, 1001) if isprime(n) and isprime(int('1'*n, base=b))])
Generate an equivalent Python version of this Go code.
package main import ( "fmt" big "github.com/ncw/gmp" "rcu" "strings" ) func main() { limit := 2700 primes := rcu.Primes(limit) s := new(big.Int) for b := 2; b <= 36; b++ { var rPrimes []int for _, p := range primes { s.SetString(strings.Repeat("1", p), b) ...
from sympy import isprime for b in range(2, 17): print(b, [n for n in range(2, 1001) if isprime(n) and isprime(int('1'*n, base=b))])
Ensure the translated Python code behaves exactly like the original Go snippet.
package main import ( "fmt" "math/big" ) func main() { zero := big.NewInt(0) one := big.NewInt(1) for k := int64(2); k <= 10; k += 2 { bk := big.NewInt(k) fmt.Println("The first 50 Curzon numbers using a base of", k, ":") count := 0 n := int64(1) pow := big....
def is_Curzon(n, k): r = k * n return pow(k, n, r + 1) == r for k in [2, 4, 6, 8, 10]: n, curzons = 1, [] while len(curzons) < 1000: if is_Curzon(n, k): curzons.append(n) n += 1 print(f'Curzon numbers with k = {k}:') for i, c in enumerate(curzons[:50]): print...
Translate the given Go code snippet into Python without altering its behavior.
package main import ( "fmt" "math/big" ) func main() { zero := big.NewInt(0) one := big.NewInt(1) for k := int64(2); k <= 10; k += 2 { bk := big.NewInt(k) fmt.Println("The first 50 Curzon numbers using a base of", k, ":") count := 0 n := int64(1) pow := big....
def is_Curzon(n, k): r = k * n return pow(k, n, r + 1) == r for k in [2, 4, 6, 8, 10]: n, curzons = 1, [] while len(curzons) < 1000: if is_Curzon(n, k): curzons.append(n) n += 1 print(f'Curzon numbers with k = {k}:') for i, c in enumerate(curzons[:50]): print...
Write the same code in Python as shown below in Go.
package main import ( "fmt" "github.com/ALTree/bigfloat" "math/big" ) const ( prec = 256 ps = "3.1415926535897932384626433832795028841971693993751058209749445923078164" ) func q(d int64) *big.Float { pi, _ := new(big.Float).SetPrec(prec).SetString(ps) t := new(big.Float).SetPrec(prec)....
from mpmath import mp heegner = [19,43,67,163] mp.dps = 50 x = mp.exp(mp.pi*mp.sqrt(163)) print("calculated Ramanujan's constant: {}".format(x)) print("Heegner numbers yielding 'almost' integers:") for i in heegner: print(" for {}: {} ~ {} error: {}".format(str(i),mp.exp(mp.pi*mp.sqrt(i)),round(mp.exp(mp.pi*mp.sqrt...
Generate a Python translation of this Go snippet without changing its computational steps.
package main import ( "fmt" "github.com/ALTree/bigfloat" "math/big" ) const ( prec = 256 ps = "3.1415926535897932384626433832795028841971693993751058209749445923078164" ) func q(d int64) *big.Float { pi, _ := new(big.Float).SetPrec(prec).SetString(ps) t := new(big.Float).SetPrec(prec)....
from mpmath import mp heegner = [19,43,67,163] mp.dps = 50 x = mp.exp(mp.pi*mp.sqrt(163)) print("calculated Ramanujan's constant: {}".format(x)) print("Heegner numbers yielding 'almost' integers:") for i in heegner: print(" for {}: {} ~ {} error: {}".format(str(i),mp.exp(mp.pi*mp.sqrt(i)),round(mp.exp(mp.pi*mp.sqrt...
Please provide an equivalent version of this Go code in Python.
package main import ( "fmt" "github.com/ALTree/bigfloat" "math/big" ) const ( prec = 256 ps = "3.1415926535897932384626433832795028841971693993751058209749445923078164" ) func q(d int64) *big.Float { pi, _ := new(big.Float).SetPrec(prec).SetString(ps) t := new(big.Float).SetPrec(prec)....
from mpmath import mp heegner = [19,43,67,163] mp.dps = 50 x = mp.exp(mp.pi*mp.sqrt(163)) print("calculated Ramanujan's constant: {}".format(x)) print("Heegner numbers yielding 'almost' integers:") for i in heegner: print(" for {}: {} ~ {} error: {}".format(str(i),mp.exp(mp.pi*mp.sqrt(i)),round(mp.exp(mp.pi*mp.sqrt...
Port the following code from Go to Python with equivalent syntax and logic.
package main import ( "fmt" "reflect" ) type example struct{} func (example) Foo() int { return 42 } func (e example) CallMethod(n string) int { if m := reflect.ValueOf(e).MethodByName(n); m.IsValid() { return int(m.Call(nil)[0].Int()) } fmt.Println("Unknown method:", ...
class Example(object): def foo(self): print("this is foo") def bar(self): print("this is bar") def __getattr__(self, name): def method(*args): print("tried to handle unknown method " + name) if args: print("it had arguments: " + str(args)) ...
Generate a Python translation of this Go snippet without changing its computational steps.
package main import ( "fmt" "strings" ) type dict map[string]bool func newDict(words ...string) dict { d := dict{} for _, w := range words { d[w] = true } return d } func (d dict) wordBreak(s string) (broken []string, ok bool) { if s == "" { return nil, true } typ...
from itertools import (chain) def stringParse(lexicon): return lambda s: Node(s)( tokenTrees(lexicon)(s) ) def tokenTrees(wds): def go(s): return [Node(s)([])] if s in wds else ( concatMap(nxt(s))(wds) ) def nxt(s): return lambda w: parse( ...
Write a version of this Go function in Python with identical behavior.
package main import ( "fmt" "math" "rcu" "sort" ) var primes = rcu.Primes(1e8 - 1) type res struct { bc interface{} next int } func getBrilliant(digits, limit int, countOnly bool) res { var brilliant []int count := 0 pow := 1 next := math.MaxInt for k := 1; k <= digits;...
from primesieve.numpy import primes from math import isqrt import numpy as np max_order = 9 blocks = [primes(10**n, 10**(n + 1)) for n in range(max_order)] def smallest_brilliant(lb): pos = 1 root = isqrt(lb) for blk in blocks: n = len(blk) if blk[-1]*blk[-1] < lb: pos += n*(n...
Convert this Go snippet to Python and keep its semantics consistent.
package main import ( "fmt" "math" "rcu" "sort" ) var primes = rcu.Primes(1e8 - 1) type res struct { bc interface{} next int } func getBrilliant(digits, limit int, countOnly bool) res { var brilliant []int count := 0 pow := 1 next := math.MaxInt for k := 1; k <= digits;...
from primesieve.numpy import primes from math import isqrt import numpy as np max_order = 9 blocks = [primes(10**n, 10**(n + 1)) for n in range(max_order)] def smallest_brilliant(lb): pos = 1 root = isqrt(lb) for blk in blocks: n = len(blk) if blk[-1]*blk[-1] < lb: pos += n*(n...