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Write the same algorithm in Java as shown in this Clojure implementation.
(def dice5 #(rand-int 5)) (defn dice7 [] (quot (->> dice5 (repeatedly 2) (apply #(+ %1 (* 5 %2))) #() repeatedly (drop-while #(> % 20)) first) ...
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Rewrite this program in Python while keeping its functionality equivalent to the Clojure version.
(def dice5 #(rand-int 5)) (defn dice7 [] (quot (->> dice5 (repeatedly 2) (apply #(+ %1 (* 5 %2))) #() repeatedly (drop-while #(> % 20)) first) ...
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Convert this Clojure snippet to VB and keep its semantics consistent.
(def dice5 #(rand-int 5)) (defn dice7 [] (quot (->> dice5 (repeatedly 2) (apply #(+ %1 (* 5 %2))) #() repeatedly (drop-while #(> % 20)) first) ...
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Port the provided Clojure code into Go while preserving the original functionality.
(def dice5 #(rand-int 5)) (defn dice7 [] (quot (->> dice5 (repeatedly 2) (apply #(+ %1 (* 5 %2))) #() repeatedly (drop-while #(> % 20)) first) ...
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Maintain the same structure and functionality when rewriting this code in C.
(defun d5 () (1+ (random 5))) (defun d7 () (loop for d55 = (+ (* 5 (d5)) (d5) -6) until (< d55 21) finally (return (1+ (mod d55 7)))))
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Keep all operations the same but rewrite the snippet in C#.
(defun d5 () (1+ (random 5))) (defun d7 () (loop for d55 = (+ (* 5 (d5)) (d5) -6) until (< d55 21) finally (return (1+ (mod d55 7)))))
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Rewrite this program in C++ while keeping its functionality equivalent to the Common_Lisp version.
(defun d5 () (1+ (random 5))) (defun d7 () (loop for d55 = (+ (* 5 (d5)) (d5) -6) until (< d55 21) finally (return (1+ (mod d55 7)))))
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Translate this program into Java but keep the logic exactly as in Common_Lisp.
(defun d5 () (1+ (random 5))) (defun d7 () (loop for d55 = (+ (* 5 (d5)) (d5) -6) until (< d55 21) finally (return (1+ (mod d55 7)))))
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Write the same algorithm in Python as shown in this Common_Lisp implementation.
(defun d5 () (1+ (random 5))) (defun d7 () (loop for d55 = (+ (* 5 (d5)) (d5) -6) until (< d55 21) finally (return (1+ (mod d55 7)))))
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Produce a functionally identical VB code for the snippet given in Common_Lisp.
(defun d5 () (1+ (random 5))) (defun d7 () (loop for d55 = (+ (* 5 (d5)) (d5) -6) until (< d55 21) finally (return (1+ (mod d55 7)))))
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Port the following code from Common_Lisp to Go with equivalent syntax and logic.
(defun d5 () (1+ (random 5))) (defun d7 () (loop for d55 = (+ (* 5 (d5)) (d5) -6) until (< d55 21) finally (return (1+ (mod d55 7)))))
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Can you help me rewrite this code in C instead of D, keeping it the same logically?
import std.random; import verify_distribution_uniformity_naive: distCheck; int dice5() @safe { return uniform(1, 6); } int fiveToSevenNaive() @safe { immutable int r = dice5() + dice5() * 5 - 6; return (r < 21) ? (r % 7) + 1 : fiveToSevenNaive(); } int fiveToSevenSmart() @safe { static int rem =...
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Write the same code in C# as shown below in D.
import std.random; import verify_distribution_uniformity_naive: distCheck; int dice5() @safe { return uniform(1, 6); } int fiveToSevenNaive() @safe { immutable int r = dice5() + dice5() * 5 - 6; return (r < 21) ? (r % 7) + 1 : fiveToSevenNaive(); } int fiveToSevenSmart() @safe { static int rem =...
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Port the provided D code into C++ while preserving the original functionality.
import std.random; import verify_distribution_uniformity_naive: distCheck; int dice5() @safe { return uniform(1, 6); } int fiveToSevenNaive() @safe { immutable int r = dice5() + dice5() * 5 - 6; return (r < 21) ? (r % 7) + 1 : fiveToSevenNaive(); } int fiveToSevenSmart() @safe { static int rem =...
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Convert the following code from D to Java, ensuring the logic remains intact.
import std.random; import verify_distribution_uniformity_naive: distCheck; int dice5() @safe { return uniform(1, 6); } int fiveToSevenNaive() @safe { immutable int r = dice5() + dice5() * 5 - 6; return (r < 21) ? (r % 7) + 1 : fiveToSevenNaive(); } int fiveToSevenSmart() @safe { static int rem =...
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Port the following code from D to Python with equivalent syntax and logic.
import std.random; import verify_distribution_uniformity_naive: distCheck; int dice5() @safe { return uniform(1, 6); } int fiveToSevenNaive() @safe { immutable int r = dice5() + dice5() * 5 - 6; return (r < 21) ? (r % 7) + 1 : fiveToSevenNaive(); } int fiveToSevenSmart() @safe { static int rem =...
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Can you help me rewrite this code in VB instead of D, keeping it the same logically?
import std.random; import verify_distribution_uniformity_naive: distCheck; int dice5() @safe { return uniform(1, 6); } int fiveToSevenNaive() @safe { immutable int r = dice5() + dice5() * 5 - 6; return (r < 21) ? (r % 7) + 1 : fiveToSevenNaive(); } int fiveToSevenSmart() @safe { static int rem =...
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Write the same algorithm in Go as shown in this D implementation.
import std.random; import verify_distribution_uniformity_naive: distCheck; int dice5() @safe { return uniform(1, 6); } int fiveToSevenNaive() @safe { immutable int r = dice5() + dice5() * 5 - 6; return (r < 21) ? (r % 7) + 1 : fiveToSevenNaive(); } int fiveToSevenSmart() @safe { static int rem =...
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Port the following code from Elixir to C with equivalent syntax and logic.
defmodule Dice do def dice5, do: :rand.uniform( 5 ) def dice7 do dice7_from_dice5 end defp dice7_from_dice5 do d55 = 5*dice5 + dice5 - 6 if d55 < 21, do: rem( d55, 7 ) + 1, else: dice7_from_dice5 end end fun5 = fn -> Dice.dice5 end IO.inspect VerifyDistribution.n...
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Convert the following code from Elixir to C#, ensuring the logic remains intact.
defmodule Dice do def dice5, do: :rand.uniform( 5 ) def dice7 do dice7_from_dice5 end defp dice7_from_dice5 do d55 = 5*dice5 + dice5 - 6 if d55 < 21, do: rem( d55, 7 ) + 1, else: dice7_from_dice5 end end fun5 = fn -> Dice.dice5 end IO.inspect VerifyDistribution.n...
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Produce a language-to-language conversion: from Elixir to C++, same semantics.
defmodule Dice do def dice5, do: :rand.uniform( 5 ) def dice7 do dice7_from_dice5 end defp dice7_from_dice5 do d55 = 5*dice5 + dice5 - 6 if d55 < 21, do: rem( d55, 7 ) + 1, else: dice7_from_dice5 end end fun5 = fn -> Dice.dice5 end IO.inspect VerifyDistribution.n...
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Can you help me rewrite this code in Java instead of Elixir, keeping it the same logically?
defmodule Dice do def dice5, do: :rand.uniform( 5 ) def dice7 do dice7_from_dice5 end defp dice7_from_dice5 do d55 = 5*dice5 + dice5 - 6 if d55 < 21, do: rem( d55, 7 ) + 1, else: dice7_from_dice5 end end fun5 = fn -> Dice.dice5 end IO.inspect VerifyDistribution.n...
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Write the same algorithm in Python as shown in this Elixir implementation.
defmodule Dice do def dice5, do: :rand.uniform( 5 ) def dice7 do dice7_from_dice5 end defp dice7_from_dice5 do d55 = 5*dice5 + dice5 - 6 if d55 < 21, do: rem( d55, 7 ) + 1, else: dice7_from_dice5 end end fun5 = fn -> Dice.dice5 end IO.inspect VerifyDistribution.n...
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Convert this Elixir snippet to VB and keep its semantics consistent.
defmodule Dice do def dice5, do: :rand.uniform( 5 ) def dice7 do dice7_from_dice5 end defp dice7_from_dice5 do d55 = 5*dice5 + dice5 - 6 if d55 < 21, do: rem( d55, 7 ) + 1, else: dice7_from_dice5 end end fun5 = fn -> Dice.dice5 end IO.inspect VerifyDistribution.n...
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Transform the following Elixir implementation into Go, maintaining the same output and logic.
defmodule Dice do def dice5, do: :rand.uniform( 5 ) def dice7 do dice7_from_dice5 end defp dice7_from_dice5 do d55 = 5*dice5 + dice5 - 6 if d55 < 21, do: rem( d55, 7 ) + 1, else: dice7_from_dice5 end end fun5 = fn -> Dice.dice5 end IO.inspect VerifyDistribution.n...
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Convert the following code from Erlang to C, ensuring the logic remains intact.
-module( dice ). -export( [dice5/0, dice7/0, task/0] ). dice5() -> random:uniform( 5 ). dice7() -> dice7_small_enough( dice5() * 5 + dice5() - 6 ). task() -> verify_distribution_uniformity:naive( fun dice7/0, 1000000, 1 ). dice7_small_enough( N ) when N < 21 -> N div 3 + 1; dice7_small_enough( _N ) -> d...
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Maintain the same structure and functionality when rewriting this code in C#.
-module( dice ). -export( [dice5/0, dice7/0, task/0] ). dice5() -> random:uniform( 5 ). dice7() -> dice7_small_enough( dice5() * 5 + dice5() - 6 ). task() -> verify_distribution_uniformity:naive( fun dice7/0, 1000000, 1 ). dice7_small_enough( N ) when N < 21 -> N div 3 + 1; dice7_small_enough( _N ) -> d...
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Generate a C++ translation of this Erlang snippet without changing its computational steps.
-module( dice ). -export( [dice5/0, dice7/0, task/0] ). dice5() -> random:uniform( 5 ). dice7() -> dice7_small_enough( dice5() * 5 + dice5() - 6 ). task() -> verify_distribution_uniformity:naive( fun dice7/0, 1000000, 1 ). dice7_small_enough( N ) when N < 21 -> N div 3 + 1; dice7_small_enough( _N ) -> d...
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Generate an equivalent Java version of this Erlang code.
-module( dice ). -export( [dice5/0, dice7/0, task/0] ). dice5() -> random:uniform( 5 ). dice7() -> dice7_small_enough( dice5() * 5 + dice5() - 6 ). task() -> verify_distribution_uniformity:naive( fun dice7/0, 1000000, 1 ). dice7_small_enough( N ) when N < 21 -> N div 3 + 1; dice7_small_enough( _N ) -> d...
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Rewrite the snippet below in Python so it works the same as the original Erlang code.
-module( dice ). -export( [dice5/0, dice7/0, task/0] ). dice5() -> random:uniform( 5 ). dice7() -> dice7_small_enough( dice5() * 5 + dice5() - 6 ). task() -> verify_distribution_uniformity:naive( fun dice7/0, 1000000, 1 ). dice7_small_enough( N ) when N < 21 -> N div 3 + 1; dice7_small_enough( _N ) -> d...
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Port the provided Erlang code into VB while preserving the original functionality.
-module( dice ). -export( [dice5/0, dice7/0, task/0] ). dice5() -> random:uniform( 5 ). dice7() -> dice7_small_enough( dice5() * 5 + dice5() - 6 ). task() -> verify_distribution_uniformity:naive( fun dice7/0, 1000000, 1 ). dice7_small_enough( N ) when N < 21 -> N div 3 + 1; dice7_small_enough( _N ) -> d...
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Can you help me rewrite this code in Go instead of Erlang, keeping it the same logically?
-module( dice ). -export( [dice5/0, dice7/0, task/0] ). dice5() -> random:uniform( 5 ). dice7() -> dice7_small_enough( dice5() * 5 + dice5() - 6 ). task() -> verify_distribution_uniformity:naive( fun dice7/0, 1000000, 1 ). dice7_small_enough( N ) when N < 21 -> N div 3 + 1; dice7_small_enough( _N ) -> d...
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Convert this Factor block to C, preserving its control flow and logic.
USING: kernel random sequences assocs locals sorting prettyprint math math.functions math.statistics math.vectors math.ranges ; IN: rosetta-code.dice7 : dice5 ( -- x ) 5 [1,b] random ; : dice7 ( -- x ) 0 [ dup 21 < ] [ drop dice5 5 * dice5 + 6 - ] do until 7 rem 1 + ; : roll ( times quot: ( -- x ) --...
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Produce a functionally identical C# code for the snippet given in Factor.
USING: kernel random sequences assocs locals sorting prettyprint math math.functions math.statistics math.vectors math.ranges ; IN: rosetta-code.dice7 : dice5 ( -- x ) 5 [1,b] random ; : dice7 ( -- x ) 0 [ dup 21 < ] [ drop dice5 5 * dice5 + 6 - ] do until 7 rem 1 + ; : roll ( times quot: ( -- x ) --...
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Please provide an equivalent version of this Factor code in C++.
USING: kernel random sequences assocs locals sorting prettyprint math math.functions math.statistics math.vectors math.ranges ; IN: rosetta-code.dice7 : dice5 ( -- x ) 5 [1,b] random ; : dice7 ( -- x ) 0 [ dup 21 < ] [ drop dice5 5 * dice5 + 6 - ] do until 7 rem 1 + ; : roll ( times quot: ( -- x ) --...
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Ensure the translated Java code behaves exactly like the original Factor snippet.
USING: kernel random sequences assocs locals sorting prettyprint math math.functions math.statistics math.vectors math.ranges ; IN: rosetta-code.dice7 : dice5 ( -- x ) 5 [1,b] random ; : dice7 ( -- x ) 0 [ dup 21 < ] [ drop dice5 5 * dice5 + 6 - ] do until 7 rem 1 + ; : roll ( times quot: ( -- x ) --...
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Ensure the translated Python code behaves exactly like the original Factor snippet.
USING: kernel random sequences assocs locals sorting prettyprint math math.functions math.statistics math.vectors math.ranges ; IN: rosetta-code.dice7 : dice5 ( -- x ) 5 [1,b] random ; : dice7 ( -- x ) 0 [ dup 21 < ] [ drop dice5 5 * dice5 + 6 - ] do until 7 rem 1 + ; : roll ( times quot: ( -- x ) --...
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Convert the following code from Factor to VB, ensuring the logic remains intact.
USING: kernel random sequences assocs locals sorting prettyprint math math.functions math.statistics math.vectors math.ranges ; IN: rosetta-code.dice7 : dice5 ( -- x ) 5 [1,b] random ; : dice7 ( -- x ) 0 [ dup 21 < ] [ drop dice5 5 * dice5 + 6 - ] do until 7 rem 1 + ; : roll ( times quot: ( -- x ) --...
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Convert this Factor snippet to Go and keep its semantics consistent.
USING: kernel random sequences assocs locals sorting prettyprint math math.functions math.statistics math.vectors math.ranges ; IN: rosetta-code.dice7 : dice5 ( -- x ) 5 [1,b] random ; : dice7 ( -- x ) 0 [ dup 21 < ] [ drop dice5 5 * dice5 + 6 - ] do until 7 rem 1 + ; : roll ( times quot: ( -- x ) --...
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Convert the following code from Forth to C, ensuring the logic remains intact.
require random.fs : d5 5 random 1+ ; : discard? 5 = swap 1 > and ; : d7 begin d5 d5 2dup discard? while 2drop repeat 1- 5 * + 1- 7 mod 1+ ;
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Rewrite the snippet below in C# so it works the same as the original Forth code.
require random.fs : d5 5 random 1+ ; : discard? 5 = swap 1 > and ; : d7 begin d5 d5 2dup discard? while 2drop repeat 1- 5 * + 1- 7 mod 1+ ;
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Write the same algorithm in C++ as shown in this Forth implementation.
require random.fs : d5 5 random 1+ ; : discard? 5 = swap 1 > and ; : d7 begin d5 d5 2dup discard? while 2drop repeat 1- 5 * + 1- 7 mod 1+ ;
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Preserve the algorithm and functionality while converting the code from Forth to Java.
require random.fs : d5 5 random 1+ ; : discard? 5 = swap 1 > and ; : d7 begin d5 d5 2dup discard? while 2drop repeat 1- 5 * + 1- 7 mod 1+ ;
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Generate a Python translation of this Forth snippet without changing its computational steps.
require random.fs : d5 5 random 1+ ; : discard? 5 = swap 1 > and ; : d7 begin d5 d5 2dup discard? while 2drop repeat 1- 5 * + 1- 7 mod 1+ ;
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Write the same algorithm in VB as shown in this Forth implementation.
require random.fs : d5 5 random 1+ ; : discard? 5 = swap 1 > and ; : d7 begin d5 d5 2dup discard? while 2drop repeat 1- 5 * + 1- 7 mod 1+ ;
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Convert this Fortran block to C#, preserving its control flow and logic.
module rand_mod implicit none contains function rand5() integer :: rand5 real :: r call random_number(r) rand5 = 5*r + 1 end function function rand7() integer :: rand7 do rand7 = 5*rand5() + rand5() - 6 if (rand7 < 21) then rand7 = rand7 / 3 + 1 return end if end do end ...
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Translate this program into C++ but keep the logic exactly as in Fortran.
module rand_mod implicit none contains function rand5() integer :: rand5 real :: r call random_number(r) rand5 = 5*r + 1 end function function rand7() integer :: rand7 do rand7 = 5*rand5() + rand5() - 6 if (rand7 < 21) then rand7 = rand7 / 3 + 1 return end if end do end ...
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Port the following code from Fortran to C with equivalent syntax and logic.
module rand_mod implicit none contains function rand5() integer :: rand5 real :: r call random_number(r) rand5 = 5*r + 1 end function function rand7() integer :: rand7 do rand7 = 5*rand5() + rand5() - 6 if (rand7 < 21) then rand7 = rand7 / 3 + 1 return end if end do end ...
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Port the following code from Fortran to Go with equivalent syntax and logic.
module rand_mod implicit none contains function rand5() integer :: rand5 real :: r call random_number(r) rand5 = 5*r + 1 end function function rand7() integer :: rand7 do rand7 = 5*rand5() + rand5() - 6 if (rand7 < 21) then rand7 = rand7 / 3 + 1 return end if end do end ...
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Port the provided Fortran code into Java while preserving the original functionality.
module rand_mod implicit none contains function rand5() integer :: rand5 real :: r call random_number(r) rand5 = 5*r + 1 end function function rand7() integer :: rand7 do rand7 = 5*rand5() + rand5() - 6 if (rand7 < 21) then rand7 = rand7 / 3 + 1 return end if end do end ...
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Convert the following code from Fortran to Python, ensuring the logic remains intact.
module rand_mod implicit none contains function rand5() integer :: rand5 real :: r call random_number(r) rand5 = 5*r + 1 end function function rand7() integer :: rand7 do rand7 = 5*rand5() + rand5() - 6 if (rand7 < 21) then rand7 = rand7 / 3 + 1 return end if end do end ...
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Keep all operations the same but rewrite the snippet in VB.
module rand_mod implicit none contains function rand5() integer :: rand5 real :: r call random_number(r) rand5 = 5*r + 1 end function function rand7() integer :: rand7 do rand7 = 5*rand5() + rand5() - 6 if (rand7 < 21) then rand7 = rand7 / 3 + 1 return end if end do end ...
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Change the programming language of this snippet from Groovy to C without modifying what it does.
random = new Random() int rand5() { random.nextInt(5) + 1 } int rand7From5() { def raw = 25 while (raw > 21) { raw = 5*(rand5() - 1) + rand5() } (raw % 7) + 1 }
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Write the same algorithm in C# as shown in this Groovy implementation.
random = new Random() int rand5() { random.nextInt(5) + 1 } int rand7From5() { def raw = 25 while (raw > 21) { raw = 5*(rand5() - 1) + rand5() } (raw % 7) + 1 }
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Rewrite the snippet below in C++ so it works the same as the original Groovy code.
random = new Random() int rand5() { random.nextInt(5) + 1 } int rand7From5() { def raw = 25 while (raw > 21) { raw = 5*(rand5() - 1) + rand5() } (raw % 7) + 1 }
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Translate the given Groovy code snippet into Java without altering its behavior.
random = new Random() int rand5() { random.nextInt(5) + 1 } int rand7From5() { def raw = 25 while (raw > 21) { raw = 5*(rand5() - 1) + rand5() } (raw % 7) + 1 }
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Keep all operations the same but rewrite the snippet in Python.
random = new Random() int rand5() { random.nextInt(5) + 1 } int rand7From5() { def raw = 25 while (raw > 21) { raw = 5*(rand5() - 1) + rand5() } (raw % 7) + 1 }
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Port the provided Groovy code into VB while preserving the original functionality.
random = new Random() int rand5() { random.nextInt(5) + 1 } int rand7From5() { def raw = 25 while (raw > 21) { raw = 5*(rand5() - 1) + rand5() } (raw % 7) + 1 }
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Convert the following code from Groovy to Go, ensuring the logic remains intact.
random = new Random() int rand5() { random.nextInt(5) + 1 } int rand7From5() { def raw = 25 while (raw > 21) { raw = 5*(rand5() - 1) + rand5() } (raw % 7) + 1 }
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Preserve the algorithm and functionality while converting the code from Haskell to C.
import System.Random import Data.List sevenFrom5Dice = do d51 <- randomRIO(1,5) :: IO Int d52 <- randomRIO(1,5) :: IO Int let d7 = 5*d51+d52-6 if d7 > 20 then sevenFrom5Dice else return $ 1 + d7 `mod` 7
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Can you help me rewrite this code in C# instead of Haskell, keeping it the same logically?
import System.Random import Data.List sevenFrom5Dice = do d51 <- randomRIO(1,5) :: IO Int d52 <- randomRIO(1,5) :: IO Int let d7 = 5*d51+d52-6 if d7 > 20 then sevenFrom5Dice else return $ 1 + d7 `mod` 7
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Rewrite this program in C++ while keeping its functionality equivalent to the Haskell version.
import System.Random import Data.List sevenFrom5Dice = do d51 <- randomRIO(1,5) :: IO Int d52 <- randomRIO(1,5) :: IO Int let d7 = 5*d51+d52-6 if d7 > 20 then sevenFrom5Dice else return $ 1 + d7 `mod` 7
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Produce a language-to-language conversion: from Haskell to Java, same semantics.
import System.Random import Data.List sevenFrom5Dice = do d51 <- randomRIO(1,5) :: IO Int d52 <- randomRIO(1,5) :: IO Int let d7 = 5*d51+d52-6 if d7 > 20 then sevenFrom5Dice else return $ 1 + d7 `mod` 7
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Produce a functionally identical Python code for the snippet given in Haskell.
import System.Random import Data.List sevenFrom5Dice = do d51 <- randomRIO(1,5) :: IO Int d52 <- randomRIO(1,5) :: IO Int let d7 = 5*d51+d52-6 if d7 > 20 then sevenFrom5Dice else return $ 1 + d7 `mod` 7
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Produce a functionally identical Go code for the snippet given in Haskell.
import System.Random import Data.List sevenFrom5Dice = do d51 <- randomRIO(1,5) :: IO Int d52 <- randomRIO(1,5) :: IO Int let d7 = 5*d51+d52-6 if d7 > 20 then sevenFrom5Dice else return $ 1 + d7 `mod` 7
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Write the same algorithm in C as shown in this Icon implementation.
$include "distribution-checker.icn" procedure die_7 () while rnd := 5*?5 + ?5 - 6 do { if rnd < 21 then suspend rnd % 7 + 1 } end procedure main () if verify_uniform (create (|die_7()), 1000000, 0.01) then write ("uniform") else write ("skewed") end
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Maintain the same structure and functionality when rewriting this code in C#.
$include "distribution-checker.icn" procedure die_7 () while rnd := 5*?5 + ?5 - 6 do { if rnd < 21 then suspend rnd % 7 + 1 } end procedure main () if verify_uniform (create (|die_7()), 1000000, 0.01) then write ("uniform") else write ("skewed") end
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Generate an equivalent C++ version of this Icon code.
$include "distribution-checker.icn" procedure die_7 () while rnd := 5*?5 + ?5 - 6 do { if rnd < 21 then suspend rnd % 7 + 1 } end procedure main () if verify_uniform (create (|die_7()), 1000000, 0.01) then write ("uniform") else write ("skewed") end
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Rewrite the snippet below in Java so it works the same as the original Icon code.
$include "distribution-checker.icn" procedure die_7 () while rnd := 5*?5 + ?5 - 6 do { if rnd < 21 then suspend rnd % 7 + 1 } end procedure main () if verify_uniform (create (|die_7()), 1000000, 0.01) then write ("uniform") else write ("skewed") end
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Translate this program into Python but keep the logic exactly as in Icon.
$include "distribution-checker.icn" procedure die_7 () while rnd := 5*?5 + ?5 - 6 do { if rnd < 21 then suspend rnd % 7 + 1 } end procedure main () if verify_uniform (create (|die_7()), 1000000, 0.01) then write ("uniform") else write ("skewed") end
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Change the following Icon code into VB without altering its purpose.
$include "distribution-checker.icn" procedure die_7 () while rnd := 5*?5 + ?5 - 6 do { if rnd < 21 then suspend rnd % 7 + 1 } end procedure main () if verify_uniform (create (|die_7()), 1000000, 0.01) then write ("uniform") else write ("skewed") end
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Write the same code in Go as shown below in Icon.
$include "distribution-checker.icn" procedure die_7 () while rnd := 5*?5 + ?5 - 6 do { if rnd < 21 then suspend rnd % 7 + 1 } end procedure main () if verify_uniform (create (|die_7()), 1000000, 0.01) then write ("uniform") else write ("skewed") end
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Port the provided J code into C while preserving the original functionality.
rollD5=: [: >: ] ?@$ 5: roll2xD5=: [: rollD5 2 ,~ */ toBase10=: 5 #. <: keepGood=: #~ 21&> groupin3s=: [: >. >: % 3: getD7=: groupin3s@keepGood@toBase10@roll2xD5
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Change the following J code into C# without altering its purpose.
rollD5=: [: >: ] ?@$ 5: roll2xD5=: [: rollD5 2 ,~ */ toBase10=: 5 #. <: keepGood=: #~ 21&> groupin3s=: [: >. >: % 3: getD7=: groupin3s@keepGood@toBase10@roll2xD5
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Maintain the same structure and functionality when rewriting this code in C++.
rollD5=: [: >: ] ?@$ 5: roll2xD5=: [: rollD5 2 ,~ */ toBase10=: 5 #. <: keepGood=: #~ 21&> groupin3s=: [: >. >: % 3: getD7=: groupin3s@keepGood@toBase10@roll2xD5
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Port the provided J code into Java while preserving the original functionality.
rollD5=: [: >: ] ?@$ 5: roll2xD5=: [: rollD5 2 ,~ */ toBase10=: 5 #. <: keepGood=: #~ 21&> groupin3s=: [: >. >: % 3: getD7=: groupin3s@keepGood@toBase10@roll2xD5
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Write a version of this J function in Python with identical behavior.
rollD5=: [: >: ] ?@$ 5: roll2xD5=: [: rollD5 2 ,~ */ toBase10=: 5 #. <: keepGood=: #~ 21&> groupin3s=: [: >. >: % 3: getD7=: groupin3s@keepGood@toBase10@roll2xD5
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Please provide an equivalent version of this J code in VB.
rollD5=: [: >: ] ?@$ 5: roll2xD5=: [: rollD5 2 ,~ */ toBase10=: 5 #. <: keepGood=: #~ 21&> groupin3s=: [: >. >: % 3: getD7=: groupin3s@keepGood@toBase10@roll2xD5
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Produce a functionally identical Go code for the snippet given in J.
rollD5=: [: >: ] ?@$ 5: roll2xD5=: [: rollD5 2 ,~ */ toBase10=: 5 #. <: keepGood=: #~ 21&> groupin3s=: [: >. >: % 3: getD7=: groupin3s@keepGood@toBase10@roll2xD5
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Port the following code from Julia to C with equivalent syntax and logic.
using Random: seed! seed!(1234) dice5() = rand(1:5) function dice7() while true a = dice5() b = dice5() c = a + 5(b - 1) if c <= 21 return mod1(c, 7) end end end rolls = (dice7() for i in 1:100000) roll_counts = Dict{Int,Int}() for roll in rolls roll_c...
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Maintain the same structure and functionality when rewriting this code in C#.
using Random: seed! seed!(1234) dice5() = rand(1:5) function dice7() while true a = dice5() b = dice5() c = a + 5(b - 1) if c <= 21 return mod1(c, 7) end end end rolls = (dice7() for i in 1:100000) roll_counts = Dict{Int,Int}() for roll in rolls roll_c...
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Rewrite this program in C++ while keeping its functionality equivalent to the Julia version.
using Random: seed! seed!(1234) dice5() = rand(1:5) function dice7() while true a = dice5() b = dice5() c = a + 5(b - 1) if c <= 21 return mod1(c, 7) end end end rolls = (dice7() for i in 1:100000) roll_counts = Dict{Int,Int}() for roll in rolls roll_c...
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Convert this Julia block to Java, preserving its control flow and logic.
using Random: seed! seed!(1234) dice5() = rand(1:5) function dice7() while true a = dice5() b = dice5() c = a + 5(b - 1) if c <= 21 return mod1(c, 7) end end end rolls = (dice7() for i in 1:100000) roll_counts = Dict{Int,Int}() for roll in rolls roll_c...
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Rewrite the snippet below in Python so it works the same as the original Julia code.
using Random: seed! seed!(1234) dice5() = rand(1:5) function dice7() while true a = dice5() b = dice5() c = a + 5(b - 1) if c <= 21 return mod1(c, 7) end end end rolls = (dice7() for i in 1:100000) roll_counts = Dict{Int,Int}() for roll in rolls roll_c...
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Write the same algorithm in VB as shown in this Julia implementation.
using Random: seed! seed!(1234) dice5() = rand(1:5) function dice7() while true a = dice5() b = dice5() c = a + 5(b - 1) if c <= 21 return mod1(c, 7) end end end rolls = (dice7() for i in 1:100000) roll_counts = Dict{Int,Int}() for roll in rolls roll_c...
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Change the following Julia code into Go without altering its purpose.
using Random: seed! seed!(1234) dice5() = rand(1:5) function dice7() while true a = dice5() b = dice5() c = a + 5(b - 1) if c <= 21 return mod1(c, 7) end end end rolls = (dice7() for i in 1:100000) roll_counts = Dict{Int,Int}() for roll in rolls roll_c...
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Generate a C translation of this Lua snippet without changing its computational steps.
dice5 = function() return math.random(5) end function dice7() x = dice5() * 5 + dice5() - 6 if x > 20 then return dice7() end return x%7 + 1 end
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Port the provided Lua code into C# while preserving the original functionality.
dice5 = function() return math.random(5) end function dice7() x = dice5() * 5 + dice5() - 6 if x > 20 then return dice7() end return x%7 + 1 end
using System; public class SevenSidedDice { Random random = new Random(); static void Main(string[] args) { SevenSidedDice sevenDice = new SevenSidedDice(); Console.WriteLine("Random number from 1 to 7: "+ sevenDice.seven()); Console.Read(); } int seven() { int v=21; w...
Rewrite this program in C++ while keeping its functionality equivalent to the Lua version.
dice5 = function() return math.random(5) end function dice7() x = dice5() * 5 + dice5() - 6 if x > 20 then return dice7() end return x%7 + 1 end
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Preserve the algorithm and functionality while converting the code from Lua to Java.
dice5 = function() return math.random(5) end function dice7() x = dice5() * 5 + dice5() - 6 if x > 20 then return dice7() end return x%7 + 1 end
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Produce a functionally identical Python code for the snippet given in Lua.
dice5 = function() return math.random(5) end function dice7() x = dice5() * 5 + dice5() - 6 if x > 20 then return dice7() end return x%7 + 1 end
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Translate this program into VB but keep the logic exactly as in Lua.
dice5 = function() return math.random(5) end function dice7() x = dice5() * 5 + dice5() - 6 if x > 20 then return dice7() end return x%7 + 1 end
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Can you help me rewrite this code in Go instead of Lua, keeping it the same logically?
dice5 = function() return math.random(5) end function dice7() x = dice5() * 5 + dice5() - 6 if x > 20 then return dice7() end return x%7 + 1 end
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Produce a functionally identical C code for the snippet given in Mathematica.
sevenFrom5Dice := (tmp$ = 5*RandomInteger[{1, 5}] + RandomInteger[{1, 5}] - 6; If [tmp$ < 21, 1 + Mod[tmp$ , 7], sevenFrom5Dice])
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...
Translate the given Mathematica code snippet into C++ without altering its behavior.
sevenFrom5Dice := (tmp$ = 5*RandomInteger[{1, 5}] + RandomInteger[{1, 5}] - 6; If [tmp$ < 21, 1 + Mod[tmp$ , 7], sevenFrom5Dice])
template<typename F> class fivetoseven { public: fivetoseven(F f): d5(f), rem(0), max(1) {} int operator()(); private: F d5; int rem, max; }; template<typename F> int fivetoseven<F>::operator()() { while (rem/7 == max/7) { while (max < 7) { int rand5 = d5()-1; max *= 5; rem = 5*r...
Preserve the algorithm and functionality while converting the code from Mathematica to Java.
sevenFrom5Dice := (tmp$ = 5*RandomInteger[{1, 5}] + RandomInteger[{1, 5}] - 6; If [tmp$ < 21, 1 + Mod[tmp$ , 7], sevenFrom5Dice])
import java.util.Random; public class SevenSidedDice { private static final Random rnd = new Random(); public static void main(String[] args) { SevenSidedDice now=new SevenSidedDice(); System.out.println("Random number from 1 to 7: "+now.seven()); } int seven() { int v=21; while(v>20) v=five()+five()*...
Write the same code in Python as shown below in Mathematica.
sevenFrom5Dice := (tmp$ = 5*RandomInteger[{1, 5}] + RandomInteger[{1, 5}] - 6; If [tmp$ < 21, 1 + Mod[tmp$ , 7], sevenFrom5Dice])
from random import randint def dice5(): return randint(1, 5) def dice7(): r = dice5() + dice5() * 5 - 6 return (r % 7) + 1 if r < 21 else dice7()
Convert this Mathematica block to VB, preserving its control flow and logic.
sevenFrom5Dice := (tmp$ = 5*RandomInteger[{1, 5}] + RandomInteger[{1, 5}] - 6; If [tmp$ < 21, 1 + Mod[tmp$ , 7], sevenFrom5Dice])
Private Function Test4DiscreteUniformDistribution(ObservationFrequencies() As Variant, Significance As Single) As Boolean Dim Total As Long, Ei As Long, i As Integer Dim ChiSquared As Double, DegreesOfFreedom As Integer, p_value As Double Debug.Print "[1] ""Data set:"" "; For i = LBound(Observation...
Convert this Mathematica block to Go, preserving its control flow and logic.
sevenFrom5Dice := (tmp$ = 5*RandomInteger[{1, 5}] + RandomInteger[{1, 5}] - 6; If [tmp$ < 21, 1 + Mod[tmp$ , 7], sevenFrom5Dice])
package main import ( "fmt" "math" "math/rand" "time" ) func dice5() int { return rand.Intn(5) + 1 } func dice7() (i int) { for { i = 5*dice5() + dice5() if i < 27 { break } } return (i / 3) - 1 } func distCheck(f func() int, n int, ...
Change the following Nim code into C without altering its purpose.
import random, tables proc dice5(): int = rand(1..5) proc dice7(): int = while true: let val = 5 * dice5() + dice5() - 6 if val < 21: return val div 3 + 1 proc checkDist(f: proc(): int; repeat: Positive; tolerance: float) = var counts: CountTable[int] for _ in 1..repeat: counts.inc f() ...
int rand5() { int r, rand_max = RAND_MAX - (RAND_MAX % 5); while ((r = rand()) >= rand_max); return r / (rand_max / 5) + 1; } int rand5_7() { int r; while ((r = rand5() * 5 + rand5()) >= 27); return r / 3 - 1; } int main() { printf(check(rand5, 5, 1000000, .05) ? "flat\n" : "not flat\n"); printf(check(rand7,...