Instruction stringlengths 45 106 | input_code stringlengths 1 13.7k | output_code stringlengths 1 13.7k |
|---|---|---|
Convert this Factor block to Python, preserving its control flow and logic. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Rewrite this program in Go while keeping its functionality equivalent to the Factor version. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Keep all operations the same but rewrite the snippet in Go. | USING: assocs formatting grouping io kernel math math.parser
math.statistics sequences sequences.extras sorting.extras ;
: bin ( data limits -- seq )
dup length 1 + [ 0 ] replicate -rot
[ bisect-right over [ 1 + ] change-nth ] curry each ;
: .bin ( {lo,hi} n i -- )
swap "%3d members in " printf zero? "(" ... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Convert this Haskell block to C, preserving its control flow and logic. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Port the following code from Haskell to C with equivalent syntax and logic. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Maintain the same structure and functionality when rewriting this code in C#. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Keep all operations the same but rewrite the snippet in C++. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Transform the following Haskell implementation into C++, maintaining the same output and logic. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Write a version of this Haskell function in Java with identical behavior. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Can you help me rewrite this code in Java instead of Haskell, keeping it the same logically? | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Convert this Haskell snippet to Python and keep its semantics consistent. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Convert this Haskell snippet to Python and keep its semantics consistent. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Write a version of this Haskell function in Go with identical behavior. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Translate the given Haskell code snippet into Go without altering its behavior. | import Control.Monad (foldM)
import Data.List (partition)
binSplit :: Ord a => [a] -> [a] -> [[a]]
binSplit lims ns = counts ++ [rest]
where
(counts, rest) = foldM split ns lims
split l i = let (a, b) = partition (< i) l in ([a], b)
binCounts :: Ord a => [a] -> [a] -> [Int]
binCounts b = fmap length . binS... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Change the following J code into C without altering its purpose. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Rewrite the snippet below in C so it works the same as the original J code. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Rewrite the snippet below in C# so it works the same as the original J code. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Produce a functionally identical C# code for the snippet given in J. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Change the programming language of this snippet from J to C++ without modifying what it does. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Write a version of this J function in C++ with identical behavior. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Write the same algorithm in Java as shown in this J implementation. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Rewrite this program in Java while keeping its functionality equivalent to the J version. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Port the following code from J to Python with equivalent syntax and logic. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Translate this program into Python but keep the logic exactly as in J. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Generate a Go translation of this J snippet without changing its computational steps. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Rewrite this program in Go while keeping its functionality equivalent to the J version. | Idotr=: |.@[ (#@[ - I.) ]
binnedData=: adverb define
bidx=. i.@>:@# x
x (Idotr (u@}./.)&(bidx&,) ]) y
)
require 'format/printf'
printBinCounts=: dyad define
counts =. y
'%2d in [ -∞, %3d)' printf ({. counts) , {. x
'%2d in [%3d, %3d)' printf (}.}: counts) ,. 2 ]\ x
... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Translate the given Julia code snippet into C without altering its behavior. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Convert the following code from Julia to C, ensuring the logic remains intact. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Translate this program into C# but keep the logic exactly as in Julia. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Write the same algorithm in C# as shown in this Julia implementation. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Write the same algorithm in C++ as shown in this Julia implementation. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Maintain the same structure and functionality when rewriting this code in C++. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Preserve the algorithm and functionality while converting the code from Julia to Java. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Keep all operations the same but rewrite the snippet in Java. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Maintain the same structure and functionality when rewriting this code in Python. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Change the programming language of this snippet from Julia to Python without modifying what it does. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Convert this Julia snippet to Go and keep its semantics consistent. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Produce a functionally identical Go code for the snippet given in Julia. | """Add the function Python has in its bisect library"""
function bisect_right(array, x, low = 1, high = length(array) + 1)
while low < high
middle = (low + high) ÷ 2
x < array[middle] ? (high = middle) : (low = middle + 1)
end
return low
end
""" Bin data according to (ascending) limits """
... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Port the following code from Lua to C with equivalent syntax and logic. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Please provide an equivalent version of this Lua code in C. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Convert this Lua snippet to C# and keep its semantics consistent. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Generate an equivalent C# version of this Lua code. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Produce a functionally identical C++ code for the snippet given in Lua. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Write a version of this Lua function in C++ with identical behavior. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Change the programming language of this snippet from Lua to Java without modifying what it does. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Write the same code in Java as shown below in Lua. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Translate this program into Python but keep the logic exactly as in Lua. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Rewrite the snippet below in Python so it works the same as the original Lua code. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Generate an equivalent Go version of this Lua code. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Maintain the same structure and functionality when rewriting this code in Go. | function binner(limits, data)
local bins = setmetatable({}, {__index=function() return 0 end})
local n, flr = #limits+1, math.floor
for _, x in ipairs(data) do
local lo, hi = 1, n
while lo < hi do
local mid = flr((lo + hi) / 2)
if not limits[mid] or x < limits[mid] then hi=mid else lo=mid+1 e... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Produce a language-to-language conversion: from Mathematica to C, same semantics. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Transform the following Mathematica implementation into C, maintaining the same output and logic. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Translate the given Mathematica code snippet into C# without altering its behavior. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Generate a C# translation of this Mathematica snippet without changing its computational steps. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Write a version of this Mathematica function in C++ with identical behavior. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Write a version of this Mathematica function in C++ with identical behavior. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Change the following Mathematica code into Java without altering its purpose. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Convert the following code from Mathematica to Java, ensuring the logic remains intact. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Produce a language-to-language conversion: from Mathematica to Python, same semantics. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Please provide an equivalent version of this Mathematica code in Python. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Translate this program into Go but keep the logic exactly as in Mathematica. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Produce a functionally identical Go code for the snippet given in Mathematica. | limits = {23, 37, 43, 53, 67, 83};
data = {95, 21, 94, 12, 99, 4, 70, 75, 83, 93, 52, 80, 57, 5, 53, 86,
65, 17, 92, 83, 71, 61, 54, 58, 47, 16, 8, 9, 32, 84, 7, 87, 46,
19, 30, 37, 96, 6, 98, 40, 79, 97, 45, 64, 60, 29, 49, 36, 43,
55};
limits = {{-\[Infinity]}~Join~limits~Join~{\[Infinity]}};
BinCounts[da... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Generate an equivalent C version of this Nim code. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Write a version of this Nim function in C with identical behavior. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Port the provided Nim code into C# while preserving the original functionality. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Rewrite this program in C# while keeping its functionality equivalent to the Nim version. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Translate the given Nim code snippet into C++ without altering its behavior. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Generate a C++ translation of this Nim snippet without changing its computational steps. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Convert this Nim snippet to Java and keep its semantics consistent. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Change the following Nim code into Java without altering its purpose. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Write a version of this Nim function in Python with identical behavior. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Generate a Python translation of this Nim snippet without changing its computational steps. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Please provide an equivalent version of this Nim code in Go. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Convert this Nim block to Go, preserving its control flow and logic. | import algorithm, strformat
func binIt(limits, data: openArray[int]): seq[Natural] =
result.setLen(limits.len + 1)
for d in data:
inc result[limits.upperBound(d)]
proc binPrint(limits: openArray[int]; bins: seq[Natural]) =
echo &" < {limits[0]:3} := {bins[0]:3}"
for i in 1..limits.high:
echo ... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Write the same code in C as shown below in Perl. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Change the following Perl code into C without altering its purpose. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Preserve the algorithm and functionality while converting the code from Perl to C#. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Convert this Perl snippet to C# and keep its semantics consistent. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Write a version of this Perl function in C++ with identical behavior. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Translate this program into C++ but keep the logic exactly as in Perl. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Translate the given Perl code snippet into Java without altering its behavior. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Preserve the algorithm and functionality while converting the code from Perl to Java. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Can you help me rewrite this code in Python instead of Perl, keeping it the same logically? | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Keep all operations the same but rewrite the snippet in Python. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Convert the following code from Perl to Go, ensuring the logic remains intact. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Keep all operations the same but rewrite the snippet in Go. | use strict;
use warnings; no warnings 'uninitialized';
use feature 'say';
use experimental 'signatures';
use constant Inf => 1e10;
my @tests = (
{
limits => [23, 37, 43, 53, 67, 83],
data => [
95,21,94,12,99,4,70,75,83,93,52,80,57, 5,53,86,65,17,92,83,71,61,54,58,47,
16, 8... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Translate this program into C but keep the logic exactly as in Racket. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Translate this program into C but keep the logic exactly as in Racket. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Change the following Racket code into C# without altering its purpose. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Ensure the translated C# code behaves exactly like the original Racket snippet. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | using System;
public class Program
{
static void Main()
{
PrintBins(new [] { 23, 37, 43, 53, 67, 83 },
95,21,94,12,99,4,70,75,83,93,52,80,57,5,53,86,65,17,92,83,71,61,54,58,47,
16, 8, 9,32,84,7,87,46,19,30,37,96,6,98,40,79,97,45,64,60,29,49,36,43,55
);
Console.Wr... |
Ensure the translated C++ code behaves exactly like the original Racket snippet. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Translate the given Racket code snippet into C++ without altering its behavior. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | #include <algorithm>
#include <cassert>
#include <iomanip>
#include <iostream>
#include <vector>
std::vector<int> bins(const std::vector<int>& limits,
const std::vector<int>& data) {
std::vector<int> result(limits.size() + 1, 0);
for (int n : data) {
auto i = std::upper_bound(limi... |
Generate an equivalent Java version of this Racket code. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Write the same algorithm in Java as shown in this Racket implementation. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class Bins {
public static <T extends Comparable<? super T>> int[] bins(
List<? extends T> limits, Iterable<? extends T> data) {
int[] result = new int[limits.size() + 1];
for (T n : data) {
... |
Maintain the same structure and functionality when rewriting this code in Python. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Convert this Racket snippet to Python and keep its semantics consistent. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | from bisect import bisect_right
def bin_it(limits: list, data: list) -> list:
"Bin data according to (ascending) limits."
bins = [0] * (len(limits) + 1)
for d in data:
bins[bisect_right(limits, d)] += 1
return bins
def bin_print(limits: list, bins: list) -> list:
print(f" < ... |
Change the following Racket code into Go without altering its purpose. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Port the provided Racket code into Go while preserving the original functionality. | #lang racket
(define (find-bin-index limits v)
(let inner ((l 0) (r (vector-length limits)))
(let ((m (quotient (+ l r) 2)))
(if (< v (vector-ref limits m))
(if (= m l) l (inner l m))
(if (= m (sub1 r)) r (inner m r))))))
(define ((bin-given-limits! limits) data (bins (make-vector (add... | package main
import (
"fmt"
"sort"
)
func getBins(limits, data []int) []int {
n := len(limits)
bins := make([]int, n+1)
for _, d := range data {
index := sort.SearchInts(limits, d)
if index < len(limits) && d == limits[index] {
index++
}
bins[index]++
... |
Keep all operations the same but rewrite the snippet in C. |
lims= 23 37 43 53 67 83
data= 95 21 94 12 99 4 70 75 83 93 52 80 57 5 53 86 65 17 92 83 71 61 54 58 47 ,
16 8 9 32 84 7 87 46 19 30 37 96 6 98 40 79 97 45 64 60 29 49 36 43 55
call lims lims; call bins data
call show 'the 1st set of bin counts for the specified data:'
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
Write a version of this REXX function in C with identical behavior. |
lims= 23 37 43 53 67 83
data= 95 21 94 12 99 4 70 75 83 93 52 80 57 5 53 86 65 17 92 83 71 61 54 58 47 ,
16 8 9 32 84 7 87 46 19 30 37 96 6 98 40 79 97 45 64 60 29 49 36 43 55
call lims lims; call bins data
call show 'the 1st set of bin counts for the specified data:'
... | #include <stdio.h>
#include <stdlib.h>
size_t upper_bound(const int* array, size_t n, int value) {
size_t start = 0;
while (n > 0) {
size_t step = n / 2;
size_t index = start + step;
if (value >= array[index]) {
start = index + 1;
n -= step + 1;
} else {
... |
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