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https://rosettacode.org/wiki/Count_the_Coins
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# Count the coins
(Redirected from Count the Coins)
Count the coins
You are encouraged to solve this task according to the task description, using any language you may know.
There are four types of common coins in US currency:
1. quarters (25 cents)
2. dimes (10 cents)
3. nickels (5 cents), and
4. pennies (1 cent)
There are six ways to make change for 15 cents:
1. A dime and a nickel
2. A dime and 5 pennies
3. 3 nickels
4. 2 nickels and 5 pennies
5. A nickel and 10 pennies
6. 15 pennies
How many ways are there to make change for a dollar using these common coins? (1 dollar = 100 cents).
Optional
Less common are dollar coins (100 cents); and very rare are half dollars (50 cents). With the addition of these two coins, how many ways are there to make change for \$1000?
(Note: the answer is larger than 232).
References
## 11l
Translation of: Python
```F changes(amount, coins)
V ways = [Int64(0)] * (amount + 1)
ways[0] = 1
L(coin) coins
L(j) coin .. amount
ways[j] += ways[j - coin]
R ways[amount]
print(changes(100, [1, 5, 10, 25]))
print(changes(100000, [1, 5, 10, 25, 50, 100]))```
Output:
```242
13398445413854501
```
## 360 Assembly
Translation of: AWK
```* count the coins 04/09/2015
COINS CSECT
USING COINS,R12
LR R12,R15
L R8,AMOUNT npenny=amount
L R4,AMOUNT
SRDA R4,32
D R4,=F'5'
LR R9,R5 nnickle=amount/5
L R4,AMOUNT
SRDA R4,32
D R4,=F'10'
LR R10,R5 ndime=amount/10
L R4,AMOUNT
SRDA R4,32
D R4,=F'25'
LR R11,R5 nquarter=amount/25
SR R1,R1 count=0
SR R4,R4 p=0
LOOPP CR R4,R8 do p=0 to npenny
BH ELOOPP
SR R5,R5 n=0
LOOPN CR R5,R9 do n=0 to nnickle
BH ELOOPN
SR R6,R6
LOOPD CR R6,R10 do d=0 to ndime
BH ELOOPD
SR R7,R7 q=0
LOOPQ CR R7,R11 do q=0 to nquarter
BH ELOOPQ
LR R3,R5 n
MH R3,=H'5'
LR R2,R4 p
AR R2,R3
LR R3,R6 d
MH R3,=H'10'
AR R2,R3
LR R3,R7 q
MH R3,=H'25'
AR R2,R3 s=p+n*5+d*10+q*25
C R2,=F'100' if s=100
BNE NOTOK
LA R1,1(R1) count=count+1
NOTOK LA R7,1(R7) q=q+1
B LOOPQ
ELOOPQ LA R6,1(R6) d=d+1
B LOOPD
ELOOPD LA R5,1(R5) n=n+1
B LOOPN
ELOOPN LA R4,1(R4) p=p+1
B LOOPP
ELOOPP XDECO R1,PG+0 edit count
XPRNT PG,12 print count
XR R15,R15
BR R14
AMOUNT DC F'100' start value in cents
PG DS CL12
YREGS
END COINS```
Output:
``` 242
```
Works with: gnat/gcc
```with Ada.Text_IO;
procedure Count_The_Coins is
type Counter_Type is range 0 .. 2**63-1; -- works with gnat
type Coin_List is array(Positive range <>) of Positive;
function Count(Goal: Natural; Coins: Coin_List) return Counter_Type is
Cnt: array(0 .. Goal) of Counter_Type := (0 => 1, others => 0);
-- 0 => we already know one way to choose (no) coins that sum up to zero
-- 1 .. Goal => we do not (yet) other ways to choose coins
begin
for C in Coins'Range loop
for Amount in 1 .. Cnt'Last loop
if Coins(C) <= Amount then
Cnt(Amount) := Cnt(Amount) + Cnt(Amount-Coins(C));
-- Amount-Coins(C) plus Coins(C) sums up to Amount;
end if;
end loop;
end loop;
return Cnt(Goal);
end Count;
procedure Print(C: Counter_Type) is
begin
end Print;
begin
Print(Count( 1_00, (25, 10, 5, 1)));
Print(Count(1000_00, (100, 50, 25, 10, 5, 1)));
end Count_The_Coins;
```
Output:
``` 242
13398445413854501```
Alternate method that keeps track of the specific combinations of coins:
```with Ada.Text_IO; use Ada.Text_IO;
procedure Main is
count: Integer;
begin
count := 0;
for penny in 0 .. 100 loop
for nickel in 0 .. 20 loop
for dime in 0 .. 10 loop
for quarter in 0 .. 4 loop
if (penny + 5 * nickel + 10 * dime + 25 * quarter = 100)
then
Put_Line(Integer'Image(count+1) & ": " &
Integer'Image(penny) & " pennies, " &
Integer'Image(nickel) & " nickels, " &
Integer'Image(dime) & " dimes, " &
Integer'Image(quarter) & " quarters");
count := count + 1;
end if;
end loop;
end loop;
end loop;
end loop;
Put_Line("The number of ways to make change for a dollar is: " & Integer'Image(count));
end Main;
```
Output:
``` 1: 0 pennies, 0 nickels, 0 dimes, 4 quarters
2: 0 pennies, 0 nickels, 5 dimes, 2 quarters
3: 0 pennies, 0 nickels, 10 dimes, 0 quarters
4: 0 pennies, 1 nickels, 2 dimes, 3 quarters
5: 0 pennies, 1 nickels, 7 dimes, 1 quarters
.....................
239: 90 pennies, 0 nickels, 1 dimes, 0 quarters
240: 90 pennies, 2 nickels, 0 dimes, 0 quarters
241: 95 pennies, 1 nickels, 0 dimes, 0 quarters
242: 100 pennies, 0 nickels, 0 dimes, 0 quarters
The number of ways to make change for a dollar is: 242
```
## ALGOL 68
Works with: ALGOL 68G version Any - tested with release 2.4.1
```#
Rosetta Code "Count the coins"
This is a direct translation of the "naive" Haskell version, using an array
rather than a list. LWB, UPB, and array slicing makes the mapping very simple:
LWB > UPB <=> []
LWB = UPB <=> [x]
a[LWB a] <=> head xs
a[LWB a + 1:] <=> tail xs
#
BEGIN
PROC ways to make change = ([] INT denoms, INT amount) INT :
BEGIN
IF amount = 0 THEN
1
ELIF LWB denoms > UPB denoms THEN
0
ELIF LWB denoms = UPB denoms THEN
(amount MOD denoms[LWB denoms] = 0 | 1 | 0)
ELSE
INT sum := 0;
FOR i FROM 0 BY denoms[LWB denoms] TO amount DO
sum +:= ways to make change(denoms[LWB denoms + 1:], amount - i)
OD;
sum
FI
END;
[] INT denoms = (25, 10, 5, 1);
print((ways to make change(denoms, 100), newline))
END```
Output:
``` +242
```
Works with: ALGOL 68G version Any - tested with release 2.8.4
```#
Rosetta Code "Count the coins"
This uses what I believe are the ideas behind the "much faster, probably
#
BEGIN
PROC ways to make change = ([] INT denoms, INT amount) LONG INT:
BEGIN
[0:amount] LONG INT counts, new counts;
FOR i FROM 0 TO amount DO counts[i] := (i = 0 | 1 | 0) OD;
FOR i FROM LWB denoms TO UPB denoms DO
INT denom = denoms[i];
FOR j FROM 0 TO amount DO new counts[j] := 0 OD;
FOR j FROM 0 TO amount DO
IF LONG INT count = counts[j]; count > 0 THEN
FOR k FROM j + denom BY denom TO amount DO
new counts[k] +:= count
OD
FI;
counts[j] +:= new counts[j]
OD
OD;
counts[amount]
END;
print((ways to make change((1, 5, 10, 25), 100), newline));
print((ways to make change((1, 5, 10, 25, 50, 100), 10000), newline));
print((ways to make change((1, 5, 10, 25, 50, 100), 100000), newline))
END```
Output:
``` +242
+139946140451
+13398445413854501
```
## AppleScript
Translation of: Phix
```-- All input values must be integers and multiples of the same monetary unit.
on countCoins(amount, denominations)
-- Potentially long list of counters, initialised with 1 (result for amount 0) and 'amount' zeros.
script o
property counters : {1}
end script
repeat amount times
set end of o's counters to 0
end repeat
-- Less labour-intensive alternative to the following repeat's c = 1 iteration.
set coinValue to beginning of denominations
repeat with n from (coinValue + 1) to (amount + 1) by coinValue
set item n of o's counters to 1
end repeat
repeat with c from 2 to (count denominations)
set coinValue to item c of denominations
repeat with n from (coinValue + 1) to (amount + 1)
set item n of o's counters to (item n of o's counters) + (item (n - coinValue) of o's counters)
end repeat
end repeat
return end of o's counters
end countCoins
set c1 to countCoins(100, {25, 10, 5, 1})
set c2 to countCoins(1000 * 100, {100, 50, 25, 10, 5, 1})
return {c1, c2}
```
Output:
```{242, 13398445413854501}
```
## Applesoft BASIC
Translation of: Commodore BASIC
`C=0:M=100:F=25:T=10:S=5:Q=INT(M/F):FORI=0TOQ:D=INT((M-I*F)/T):FORJ=0TOD:N=INT((M-J*T)/S):FORK=0TON:P=M-K*S:FORL=0TOPSTEPS:C=C+(L+K*S+J*T+I*F=M):NEXTL,K,J,I:?C;`
## Arturo
```changes: function [amount coins][
ways: map 0..amount+1 [x]-> 0
ways\0: 1
loop coins 'coin [
loop coin..amount 'j ->
set ways j (get ways j) + get ways j-coin
]
ways\[amount]
]
print changes 100 [1 5 10 25]
print changes 100000 [1 5 10 25 50 100]
```
## AutoHotkey
Translation of: Go
Works with: AutoHotkey_L
```countChange(amount){
return cc(amount, 4)
}
cc(amount, kindsOfCoins){
if ( amount == 0 )
return 1
if ( amount < 0 ) || ( kindsOfCoins == 0 )
return 0
return cc(amount, kindsOfCoins-1)
+ cc(amount - firstDenomination(kindsOfCoins), kindsOfCoins)
}
firstDenomination(kindsOfCoins){
return [1, 5, 10, 25][kindsOfCoins]
}
MsgBox % countChange(100)
```
## AWK
Iterative implementation, derived from Run BASIC:
```#!/usr/bin/awk -f
BEGIN {
print cc(100)
exit
}
function cc(amount, coins, numPennies, numNickles, numQuarters, p, n, d, q, s, count) {
numPennies = amount
numNickles = int(amount / 5)
numDimes = int(amount / 10)
numQuarters = int(amount / 25)
count = 0
for (p = 0; p <= numPennies; p++) {
for (n = 0; n <= numNickles; n++) {
for (d = 0; d <= numDimes; d++) {
for (q = 0; q <= numQuarters; q++) {
s = p + n * 5 + d * 10 + q * 25;
if (s == 100) count++;
}
}
}
}
return count;
}
```
Run time:
```time ./change-itr.awk
242
real 0m0.065s
user 0m0.063s
sys 0m0.002s
```
Recursive implementation (derived from Scheme example):
```#!/usr/bin/awk -f
BEGIN {
COINSEP = ", "
coins = 1 COINSEP 5 COINSEP 10 COINSEP 25
print cc(100, coins)
exit
}
function cc(amt, coins) {
if (length(coins) == 0) return 0
if (amt < 0) return 0
if (amt == 0) return 1
return cc(amt, tail(coins)) + cc(amt - head(coins), coins)
}
function tail(coins, koins, s, c) {
split(coins, koins, COINSEP)
s = ""
for (c = 2; c <= length(koins); c++) s = s (s == "" ? "" : COINSEP) koins[c]
return s;
}
function head(coins, koins) {
split(coins, koins, COINSEP)
return koins[1]
}
```
Run time:
```time ./change-rec.awk
242
real 0m0.081s
user 0m0.079s
sys 0m0.002s
```
While the recursive version is slower for small amounts, about 2 bucks it gets faster than the iterative version, at least until is segfaults from exhausting the stack.
## BBC BASIC
Non-recursive solution:
``` DIM uscoins%(3)
uscoins%() = 1, 5, 10, 25
PRINT FNchange(100, uscoins%()) " ways of making \$1"
PRINT FNchange(1000, uscoins%()) " ways of making \$10"
DIM ukcoins%(7)
ukcoins%() = 1, 2, 5, 10, 20, 50, 100, 200
PRINT FNchange(100, ukcoins%()) " ways of making £1"
PRINT FNchange(1000, ukcoins%()) " ways of making £10"
END
DEF FNchange(sum%, coins%())
LOCAL C%, D%, I%, N%, P%, Q%, S%, table()
C% = 0
N% = DIM(coins%(),1) + 1
FOR I% = 0 TO N% - 1
D% = coins%(I%)
IF D% <= sum% IF D% >= C% C% = D% + 1
NEXT
C% *= N%
DIM table(C%-1)
FOR I% = 0 TO N%-1 : table(I%) = 1 : NEXT
P% = N%
FOR S% = 1 TO sum%
FOR I% = 0 TO N% - 1
IF I% = 0 IF P% >= C% P% = 0
IF coins%(I%) <= S% THEN
Q% = P% - coins%(I%) * N%
IF Q% >= 0 table(P%) = table(Q%) ELSE table(P%) = table(Q% + C%)
ENDIF
IF I% table(P%) += table(P% - 1)
P% += 1
NEXT
NEXT
= table(P%-1)
```
Output (BBC BASIC does not have large enough integers for the optional task):
``` 242 ways of making \$1
142511 ways of making \$10
4563 ways of making £1
321335886 ways of making £10```
## C
Using some crude 128-bit integer type.
```#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
// ad hoc 128 bit integer type; faster than using GMP because of low
typedef struct { uint64_t x[2]; } i128;
// display in decimal
void show(i128 v) {
uint32_t x[4] = {v.x[0], v.x[0] >> 32, v.x[1], v.x[1] >> 32};
int i, j = 0, len = 4;
char buf[100];
do {
uint64_t c = 0;
for (i = len; i--; ) {
c = (c << 32) + x[i];
x[i] = c / 10, c %= 10;
}
buf[j++] = c + '0';
for (len = 4; !x[len - 1]; len--);
} while (len);
while (j--) putchar(buf[j]);
putchar('\n');
}
i128 count(int sum, int *coins)
{
int n, i, k;
for (n = 0; coins[n]; n++);
i128 **v = malloc(sizeof(int*) * n);
int *idx = malloc(sizeof(int) * n);
for (i = 0; i < n; i++) {
idx[i] = coins[i];
// each v[i] is a cyclic buffer
v[i] = calloc(sizeof(i128), coins[i]);
}
v[0][coins[0] - 1] = (i128) {{1, 0}};
for (k = 0; k <= sum; k++) {
for (i = 0; i < n; i++)
if (!idx[i]--) idx[i] = coins[i] - 1;
i128 c = v[0][ idx[0] ];
for (i = 1; i < n; i++) {
i128 *p = v[i] + idx[i];
// 128 bit addition
p->x[0] += c.x[0];
p->x[1] += c.x[1];
if (p->x[0] < c.x[0]) // carry
p->x[1] ++;
c = *p;
}
}
i128 r = v[n - 1][idx[n-1]];
for (i = 0; i < n; i++) free(v[i]);
free(v);
free(idx);
return r;
}
// simple recursive method; slow
int count2(int sum, int *coins)
{
if (!*coins || sum < 0) return 0;
if (!sum) return 1;
return count2(sum - *coins, coins) + count2(sum, coins + 1);
}
int main(void)
{
int us_coins[] = { 100, 50, 25, 10, 5, 1, 0 };
int eu_coins[] = { 200, 100, 50, 20, 10, 5, 2, 1, 0 };
show(count( 100, us_coins + 2));
show(count( 1000, us_coins));
show(count( 1000 * 100, us_coins));
show(count( 10000 * 100, us_coins));
show(count(100000 * 100, us_coins));
putchar('\n');
show(count( 1 * 100, eu_coins));
show(count( 1000 * 100, eu_coins));
show(count( 10000 * 100, eu_coins));
show(count(100000 * 100, eu_coins));
return 0;
}
```
output (only the first two lines are required by task):
```242
13398445413854501
1333983445341383545001
133339833445334138335450001
4563
10056050940818192726001
99341140660285639188927260001
992198221207406412424859964272600001
```
## C#
``` // Adapted from http://www.geeksforgeeks.org/dynamic-programming-set-7-coin-change/
class Program
{
static long Count(int[] C, int m, int n)
{
var table = new long[n + 1];
table[0] = 1;
for (int i = 0; i < m; i++)
for (int j = C[i]; j <= n; j++)
table[j] += table[j - C[i]];
return table[n];
}
static void Main(string[] args)
{
var C = new int[] { 1, 5, 10, 25 };
int m = C.Length;
int n = 100;
Console.WriteLine(Count(C, m, n)); //242
}
}
```
## C++
```#include <iostream>
#include <stack>
#include <vector>
struct DataFrame {
int sum;
std::vector<int> coins;
std::vector<int> avail_coins;
};
int main() {
std::stack<DataFrame> s;
s.push({ 100, {}, { 25, 10, 5, 1 } });
int ways = 0;
while (!s.empty()) {
DataFrame top = s.top();
s.pop();
if (top.sum < 0) continue;
if (top.sum == 0) {
++ways;
continue;
}
if (top.avail_coins.empty()) continue;
DataFrame d = top;
d.sum -= top.avail_coins[0];
d.coins.push_back(top.avail_coins[0]);
s.push(d);
d = top;
d.avail_coins.erase(std::begin(d.avail_coins));
s.push(d);
}
std::cout << ways << std::endl;
return 0;
}
```
Output:
`242`
## Clojure
```(def denomination-kind [1 5 10 25])
(defn- cc [amount denominations]
(cond (= amount 0) 1
(or (< amount 0) (empty? denominations)) 0
:else (+ (cc amount (rest denominations))
(cc (- amount (first denominations)) denominations))))
(defn count-change
"Calculates the number of times you can give change with the given denominations."
[amount denominations]
(cc amount denominations))
(count-change 15 denomination-kind) ; = 6
```
## COBOL
Translation of: C#
``` identification division.
program-id. CountCoins.
data division.
working-storage section.
77 i pic 9(3).
77 j pic 9(3).
77 m pic 9(3) value 4.
77 n pic 9(3) value 100.
77 edited-value pic z(18).
01 coins-table value "01051025".
05 coin pic 9(2) occurs 4.
01 ways-table.
05 way pic 9(18) occurs 100.
procedure division.
main.
perform calc-count
move way(n) to edited-value
display function trim(edited-value)
stop run
.
calc-count.
initialize ways-table
move 1 to way(1)
perform varying i from 1 by 1 until i > m
perform varying j from coin(i) by 1 until j > n
add way(j - coin(i)) to way(j)
end-perform
end-perform
.
```
Output:
`242`
## Coco
Translation of: Python
```changes = (amount, coins) ->
ways = [1].concat [0] * amount
for coin of coins
for j from coin to amount
ways[j] += ways[j - coin]
ways[amount]
console.log changes 100, [1 5 10 25]```
## Commodore BASIC
Example 1: Base example in Commodore BASIC (works on PET, C64, VIC20, etc.)
This example is based on the Spectrum ZX BASIC example found below. Direct copy of that algorithm and executed on an emulated Commodore 64 in VICE resulted in a timed performance of 46 minutes and 37 seconds (46:37) as measured by the C64 BASIC system clock (TIME\$ or TI\$, times are approximate within a few seconds). Some improvements were made as follows:
1. Reversed the order of the loops to start counting with the largest denomination > smallest denomination. Result: 44:45
2. It makes no sense to check with anything other than a multiple of 5 pennies, since the other denominations value a multiple of 5. Adding "step 5" to the penny for loop skips over a good portion of useless iteration. Result: about 9:44.
3. Not printing any of the individual results speeds up total time to 9:30.
4. Removing the specific variables used in the NEXT statements helps the interpreter speed up. Result: 9:10.
5. Now that the denominations were reordered, it makes sense that each sub-loop with the next lower denomination should loop only through the remaining money not accounted for by the larger denomination. Result: 2:12.
```5 m=100:rem money = \$1.00 or 100 pennies.
10 print chr\$(147);chr\$(14);"This program will calculate the number"
11 print "of combinations of 'change' that can be"
12 print "given for a \$1 bill."
13 print:print "The coin values are:"
14 print "0.01 = Penny":print "0.05 = Nickle"
15 print "0.10 = Dime":print "0.25 = Quarter"
16 print
20 print "Would you like to see each combination?"
25 get k\$:yn=(k\$="y"):if k\$="" then 25
100 p=m:ti\$="000000"
130 q=int(m/25)
140 count=0:ps=1
147 if yn then print "Count P N D Q"
150 for qc=0 to q:d=int((m-qc*25)/10)
160 for dc=0 to d:n=int((m-dc*10)/5)
170 for nc=0 to n:p=m-nc*5
180 for pc=0 to p step 5
190 s=pc+nc*5+dc*10+qc*25
200 if s=m then count=count+1:if yn then gosub 1000
210 next:next:next:next
245 en\$=ti\$
250 print:print count;"different combinations found in"
260 print tab(len(str\$(count))+1);
265 print left\$(en\$,2);":";mid\$(en\$,3,2);":";right\$(en\$,2);"."
270 end
1000 print count;tab(6);pc;tab(11);nc;tab(16);dc;tab(21);qc:return```
Example 2: Commodore 64 with Screen Blanking
Make the following changes on a Commodore 64 to enable screen blanking. This will give the CPU a few extra cycles normally held by the VIC-II. Add line 145 and change line 245 as shown.
Enabling screen blanking (and therefore not printing each result) results in a total time of 1:44.
```145 if not yn then poke 53265,peek(53265) and 239
245 en\$=ti\$:if not yn then poke 53265,peek(53265) or 16```
Example 3: Commodore 128 with VIC-II blanking, 2MHz fast mode.
Similar to above, however the Commodore 128 is capable of using a faster clock speed at the expense of any VIC-II graphics display. Timed result is 1:18. Add/change the following lines on the Commodore 128:
```145 if not yn then fast
245 en\$=ti\$:if not yn then slow```
## Common Lisp
### Recursive Version With Cache
```(defun count-change (amount coins
&optional
(length (1- (length coins)))
(cache (make-array (list (1+ amount) (length coins))
:initial-element nil)))
(cond ((< length 0) 0)
((< amount 0) 0)
((= amount 0) 1)
(t (or (aref cache amount length)
(setf (aref cache amount length)
(+ (count-change (- amount (first coins)) coins length cache)
(count-change amount (rest coins) (1- length) cache)))))))
; (compile 'count-change) ; for CLISP
(print (count-change 100 '(25 10 5 1))) ; = 242
(print (count-change 100000 '(100 50 25 10 5 1))) ; = 13398445413854501
(terpri)
```
### Iterative Version
```(defun count-change (amount coins &aux (ways (make-array (1+ amount) :initial-element 0)))
(setf (aref ways 0) 1)
(loop for coin in coins do
(loop for j from coin upto amount
do (incf (aref ways j) (aref ways (- j coin)))))
(aref ways amount))
```
## D
### Basic Version
Translation of: Go
```import std.stdio, std.bigint;
auto changes(int amount, int[] coins) {
auto ways = new BigInt[amount + 1];
ways[0] = 1;
foreach (coin; coins)
foreach (j; coin .. amount + 1)
ways[j] += ways[j - coin];
return ways[\$ - 1];
}
void main() {
changes( 1_00, [25, 10, 5, 1]).writeln;
changes(1000_00, [100, 50, 25, 10, 5, 1]).writeln;
}
```
Output:
```242
13398445413854501```
### Safe Ulong Version
This version is very similar to the precedent, but it uses a faster ulong type, and performs a checked sum to detect overflows at run-time.
```import std.stdio, core.checkedint;
auto changes(int amount, int[] coins, ref bool overflow) {
auto ways = new ulong[amount + 1];
ways[0] = 1;
foreach (coin; coins)
foreach (j; coin .. amount + 1)
ways[j] = ways[j].addu(ways[j - coin], overflow);
return ways[amount];
}
void main() {
bool overflow = false;
changes( 1_00, [25, 10, 5, 1], overflow).writeln;
if (overflow)
"Overflow".puts;
overflow = false;
changes( 1000_00, [100, 50, 25, 10, 5, 1], overflow).writeln;
if (overflow)
"Overflow".puts;
}
```
The output is the same.
### Faster Version
Translation of: C
```import std.stdio, std.bigint;
BigInt countChanges(in int amount, in int[] coins) pure /*nothrow*/ {
immutable n = coins.length;
int cycle;
foreach (immutable c; coins)
if (c <= amount && c >= cycle)
cycle = c + 1;
cycle *= n;
auto table = new BigInt[cycle];
table[0 .. n] = 1.BigInt;
int pos = n;
foreach (immutable s; 1 .. amount + 1) {
foreach (immutable i; 0 .. n) {
if (i == 0 && pos >= cycle)
pos = 0;
if (coins[i] <= s) {
immutable int q = pos - (coins[i] * n);
table[pos] = (q >= 0) ? table[q] : table[q + cycle];
}
if (i)
table[pos] += table[pos - 1];
pos++;
}
}
return table[pos - 1];
}
void main() {
immutable usCoins = [100, 50, 25, 10, 5, 1];
immutable euCoins = [200, 100, 50, 20, 10, 5, 2, 1];
foreach (immutable coins; [usCoins, euCoins]) {
countChanges( 1_00, coins[2 .. \$]).writeln;
countChanges( 1000_00, coins).writeln;
countChanges( 10000_00, coins).writeln;
countChanges(100000_00, coins).writeln;
writeln;
}
}
```
Output:
```242
13398445413854501
1333983445341383545001
133339833445334138335450001
4562
10056050940818192726001
99341140660285639188927260001
992198221207406412424859964272600001```
### 128-bit Version
A much faster version that mixes high-level and low-level style programming. This version uses basic 128-bit unsigned integers, like the C version. The output is the same as the second D version.
Translation of: C
```import std.stdio, std.bigint, std.algorithm, std.conv, std.functional;
struct Ucent { /// Simplified 128-bit integer (like ucent).
ulong hi, lo;
static immutable one = Ucent(0, 1);
void opOpAssign(string op="+")(in ref Ucent y) pure nothrow @nogc @safe {
this.hi += y.hi;
if (this.lo >= ~y.lo)
this.hi++;
this.lo += y.lo;
}
string toString() const /*pure nothrow @safe*/ {
return text((this.hi.BigInt << 64) + this.lo);
}
}
Ucent countChanges(in int amount, in int[] coins) pure nothrow {
immutable n = coins.length;
// Points to a cyclic buffer of length coins[i]
auto p = new Ucent*[n];
auto q = new Ucent*[n]; // iterates it.
auto buf = new Ucent[coins.sum];
p[0] = buf.ptr;
foreach (immutable i; 0 .. n) {
if (i)
p[i] = coins[i - 1] + p[i - 1];
*p[i] = Ucent.one;
q[i] = p[i];
}
Ucent prev;
foreach (immutable j; 1 .. amount + 1)
foreach (immutable i; 0 .. n) {
q[i]--;
if (q[i] < p[i])
q[i] = p[i] + coins[i] - 1;
if (i)
*q[i] += prev;
prev = *q[i];
}
return prev;
}
void main() {
immutable usCoins = [100, 50, 25, 10, 5, 1];
immutable euCoins = [200, 100, 50, 20, 10, 5, 2, 1];
foreach (immutable coins; [usCoins, euCoins]) {
countChanges( 1_00, coins[2 .. \$]).writeln;
countChanges( 1000_00, coins).writeln;
countChanges( 10000_00, coins).writeln;
countChanges(100000_00, coins).writeln;
writeln;
}
}
```
### Printing Version
This version prints all the solutions (so it can be used on the smaller input):
```import std.stdio, std.conv, std.string, std.algorithm, std.range;
void printChange(in uint tot, in uint[] coins)
in {
assert(coins.isSorted);
} body {
auto freqs = new uint[coins.length];
void inner(in uint curTot, in size_t start) {
if (curTot == tot)
return writefln("%-(%s %)",
zip(coins, freqs)
.filter!(cf => cf[1] != 0)
.map!(cf => format("%u:%u", cf[])));
foreach (immutable i; start .. coins.length) {
immutable ci = coins[i];
for (auto v = (freqs[i] + 1) * ci; v <= tot; v += ci)
if (curTot + v <= tot) {
freqs[i] += v / ci;
inner(curTot + v, i + 1);
freqs[i] -= v / ci;
}
}
}
inner(0, 0);
}
void main() {
printChange(1_00, [1, 5, 10, 25]);
}
```
Output:
```1:5 5:1 10:4 25:2
1:5 5:1 10:9
1:5 5:2 10:1 25:3
1:5 5:2 10:6 25:1
1:5 5:3 10:3 25:2
1:5 5:3 10:8
1:5 5:4 10:5 25:1
1:5 5:4 25:3
1:5 5:5 10:2 25:2
1:5 5:5 10:7
1:5 5:6 10:4 25:1
1:5 5:7 10:1 25:2
...
5:11 10:2 25:1
5:12 10:4
5:13 10:1 25:1
5:14 10:3
5:15 25:1
5:16 10:2
5:18 10:1
5:20
10:5 25:2
10:10
25:4
```
## Dart
Simple recursive version plus cached version using a map.
### Dart 1 version:
```var cache = new Map();
main() {
var stopwatch = new Stopwatch()..start();
// use the brute-force recursion for the small problem
int amount = 100;
list coinTypes = [25,10,5,1];
print (coins(amount,coinTypes).toString() + " ways for \$amount using \$coinTypes coins.");
// use the cache version for the big problem
amount = 100000;
coinTypes = [100,50,25,10,5,1];
print (cachedCoins(amount,coinTypes).toString() + " ways for \$amount using \$coinTypes coins.");
stopwatch.stop();
print ("... completed in " + (stopwatch.elapsedMilliseconds/1000).toString() + " seconds");
}
coins(int amount, list coinTypes) {
int count = 0;
if(coinTypes.length == 1) return (1); // just pennies available, so only one way to make change
for(int i=0; i<=(amount/coinTypes[0]).toInt(); i++){ // brute force recursion
count += coins(amount-(i*coinTypes[0]),coinTypes.sublist(1)); // sublist(1) is like lisp's '(rest ...)'
}
// uncomment if you want to see intermediate steps
//print("there are " + count.toString() +" ways to count change for \${amount.toString()} using \${coinTypes} coins.");
return(count);
}
cachedCoins(int amount, list coinTypes) {
int count = 0;
// this is more efficient, looks at last two coins. but not fast enough for the optional exercise.
if(coinTypes.length == 2) return ((amount/coinTypes[0]).toInt() + 1);
var key = "\$amount.\$coinTypes"; // lookes like "100.[25,10,5,1]"
var cacheValue = cache[key]; // check whether we have seen this before
if(cacheValue != null) return(cacheValue);
count = 0;
// same recursion as simple method, but caches all subqueries too
for(int i=0; i<=(amount/coinTypes[0]).toInt(); i++){
count += cachedCoins(amount-(i*coinTypes[0]),coinTypes.sublist(1)); // sublist(1) is like lisp's '(rest ...)'
}
cache[key] = count; // add this to the cache
return(count);
}
```
Output:
```242 ways for 100 using [25, 10, 5, 1] coins.
13398445413854501 ways for 100000 using [100, 50, 25, 10, 5, 1] coins.
... completed in 3.604 seconds
```
### Dart 2 version:
```/// Provides the same result and performance as the Dart 1 version
/// but using the Dart 2 specifications.
Map<String, int> cache = {};
void main() {
Stopwatch stopwatch = Stopwatch()..start();
/// Use the brute-force recursion for the small problem
int amount = 100;
List<int> coinTypes = [25,10,5,1];
print ("\${coins(amount,coinTypes)} ways for \$amount using \$coinTypes coins.");
/// Use the cache version for the big problem
amount = 100000;
coinTypes = [100,50,25,10,5,1];
print ("\${cachedCoins(amount,coinTypes)} ways for \$amount using \$coinTypes coins.");
stopwatch.stop();
print ("... completed in \${stopwatch.elapsedMilliseconds/1000} seconds");
}
int cachedCoins(int amount, List<int> coinTypes) {
int count = 0;
/// This is more efficient, looks at last two coins.
/// But not fast enough for the optional exercise.
if(coinTypes.length == 2) return (amount ~/ coinTypes[0] + 1);
/// Looks like "100.[25,10,5,1]"
String key = "\$amount.\$coinTypes";
/// Check whether we have seen this before
var cacheValue = cache[key];
if(cacheValue != null) return(cacheValue);
count = 0;
/// Same recursion as simple method, but caches all subqueries too
for(int i=0; i<=amount ~/ coinTypes[0]; i++){
count += cachedCoins(amount-(i*coinTypes[0]),coinTypes.sublist(1)); // sublist(1) is like lisp's '(rest ...)'
}
/// add this to the cache
cache[key] = count;
return count;
}
int coins(int amount, List<int> coinTypes) {
int count = 0;
/// Just pennies available, so only one way to make change
if(coinTypes.length == 1) return (1);
/// Brute force recursion
for(int i=0; i<=amount ~/ coinTypes[0]; i++){
/// sublist(1) is like lisp's '(rest ...)'
count += coins(amount - (i*coinTypes[0]),coinTypes.sublist(1));
}
/// Uncomment if you want to see intermediate steps
/// print("there are " + count.toString() +" ways to count change for \${amount.toString()} using \${coinTypes} coins.");
return count;
}
```
Output:
```242 ways for 100 using [25, 10, 5, 1] coins.
13398445413854501 ways for 100000 using [100, 50, 25, 10, 5, 1] coins.
... completed in 2.921 seconds
Process finished with exit code 0
```
## Delphi
Translation of: C#
```program Count_the_coins;
{\$APPTYPE CONSOLE}
function Count(c: array of Integer; m, n: Integer): Integer;
var
table: array of Integer;
i, j: Integer;
begin
SetLength(table, n + 1);
table[0] := 1;
for i := 0 to m - 1 do
for j := c[i] to n do
table[j] := table[j] + table[j - c[i]];
Exit(table[n]);
end;
var
c: array of Integer;
m, n: Integer;
begin
c := [1, 5, 10, 25];
m := Length(c);
n := 100;
Writeln(Count(c, m, n)); //242
end.
```
Output:
`242`
## Draco
```proc main() void:
[4]byte coins = (1, 5, 10, 25);
[101]byte tab;
word m, n;
for n from 1 upto 100 do tab[n] := 0 od;
tab[0] := 1;
for m from 0 upto 3 do
for n from coins[m] upto 100 do
tab[n] := tab[n] + tab[n - coins[m]]
od
od;
writeln(tab[100])
corp```
Output:
`242`
## Dyalect
```func countCoins(coins, n) {
var xs = Array.Empty(n + 1, 0)
xs[0] = 1
for c in coins {
var cj = c
while cj <= n {
xs[cj] += xs[cj - c]
cj += 1
}
}
return xs[n]
}
var coins = [1, 5, 10, 25]
print(countCoins(coins, 100))```
Output:
`242`
## EasyLang
```len cache[] 100000 * 7 + 6
val[] = [ 1 5 10 25 50 100 ]
func count sum kind .
if sum = 0
return 1
.
if sum < 0 or kind = 0
return 0
.
chind = sum * 7 + kind
if cache[chind] > 0
return cache[chind]
.
r2 = count (sum - val[kind]) kind
r1 = count sum (kind - 1)
r = r1 + r2
cache[chind] = r
return r
.
print count 100 4
print count 10000 6
print count 100000 6
# this is not exact, since numbers
# are doubles and r > 2^53```
## EchoLisp
Recursive solution using memoization, adapted from CommonLisp and Racket.
```(lib 'compile) ;; for (compile)
(lib 'bigint) ;; integer results > 32 bits
(lib 'hash) ;; hash table
;; h-table
(define Hcoins (make-hash))
;; the function to memoize
(define (sumways cents coins)
(+ (ways cents (cdr coins)) (ways (- cents (car coins)) coins)))
;; accelerator : ways (cents, coins) = ways ((cents - cents % 5) , coins)
(define (ways cents coins)
(cond ((null? coins) 0)
((negative? cents) 0)
((zero? cents) 1)
((eq? coins c-1) 1) ;; if coins = (1) --> 1
(else (hash-ref! Hcoins (list (- cents (modulo cents 5)) coins) sumways))))
(compile 'ways) ;; speed-up things
```
Output:
```(define change '(25 10 5 1))
(define c-1 (list-tail change -1)) ;; pointer to (1)
(ways 100 change)
→ 242
(define change '(100 50 25 10 5 1))
(define c-1 (list-tail change -1))
(for ((i (in-range 0 200001 20000)))
(writeln i (time (ways i change)) (hash-count Hcoins)))
;; iterate cents = 20000, 40000, ..
;; cents ((time (msec) number-of-ways) number-of-entries-in-h-table
20000 (350 4371565890901) 9398
40000 (245 138204514221801) 18798
60000 (230 1045248220992701) 28198
80000 (255 4395748062203601) 37598
100000 (234 13398445413854501) 46998
120000 (230 33312577651945401) 56398
140000 (292 71959878152476301) 65798
160000 (736 140236576291447201) 75198
180000 (237 252625397444858101) 84598
200000 (240 427707562988709001) 93998
;; One can see that the time is linear, and the h-table size reasonably small
change
→ (100 50 25 10 5 1)
(ways 100000 change)
→ 13398445413854501
```
## EDSAC order code
The program solves the first task for the US dollar and UK pound, using an algorithm copied from the C# and Delphi solutions. The second task is not attempted.
Note: When the table is initialized, not only must the first entry be set to 1, but the other entries must be set to 0. It seems that the C# and Delphi solutions rely on the compiler to do this. In other languages, it may need to be done by the program.
```["Count the coins" problem for Rosetta Code.]
[EDSAC program, Initial Orders 2.]
T51K P56F [G parameter: print subroutine]
T54K P94F [C parameter: coins subroutine]
T47K P200F [M parameter: main routine]
[========================== M parameter ===============================]
E25K TM GK
[Parameter block for US coins. For convenience, all numbers
are in the address field, e.g. 25 cents is P25F not P12D.]
[0] UF SF [2-letter ID]
P100F [amount to be made with coins]
P4F [number of coin values]
P1F P5F P10F P25F [list of coin values]
[8] P@ [address of US parameter block]
[Parameter block for UK coins]
[9] UF KF
P100F
P7F
P1F P2F P5F P10F P20F P50F P100F
[20] P9@ [address of UK parameter block]
[Enter with acc = 0]
[21] A8@ [load address of parameter block for US coins]
T4F [pass to subroutine in 4F]
[23] A23@ [call subroutine to calculate and print result]
G13C
A20@ [same for UK coins]
T4F
[27] A27@
G13C
ZF [halt program]
[========================== C parameter ===============================]
[Subroutine to calculate and print the result for the given amount and
set of coins. Address of parameter block (see above) is passed in 4F.]
E25K TC GK
[0] SF [S order for start of coin list]
[1] A1023F [start table at top of memory and work downwarda]
[2] PF [S order for exclusive end of coin list]
[3] P2F [to increment address by 2]
[4] OF [(1) add to address to make O order
(2) add to A order to make T order with same address]
[5] SF [add to address to make S order]
[6] K4095F [add to S order to make A order, dec address]
[7] K2048F [set teleprinter to letters]
[8] #F [set teleprinter to figures]
[9] !F [space character]
[10] @F [carriage return]
[11] &F [line feed]
[12] K4096F [teleprinter null]
[Subroutine entry. In this EDSAC program, the table used
in the algorithm grows downward from the top of memory.]
[13] A3F [plant jump back to caller, as usual]
T89@
A3@ [skip 2-letter ID]
A5@ [make S order for amount]
U27@ [plant in code]
A3@ [make S order for first coin value]
U@ [store it]
A6@ [make A order for number of coins]
T38@ [plant in code]
[24] T1023F [store at start of table]
[Set all other table entries to 0]
A24@
T32@
[27] SF [acc := -amount]
[28] TF [set negative count in 0F]
A32@ [decrement address in manufactured order]
S2F
T32@
[32] TF [manufactured: set table entry to 0]
AF [update negative count]
A2F
G28@ [loop until count = 0]
[Here acc = 0. Manufactured order (4 lines up) is T order
for inclusive end of table; this is used again below.]
A@ [load S order for first coin value]
U43@ [plant in code]
[38] AF [make S order for exclusive end of coin list]
T2@ [store for comparison]
[Start of outer loop, round coin values]
[40] TF [clear acc]
A1@ [load A order for start of table]
U48@ [plant in code]
[43] SF [manufactured order: subtract coin value]
[Start of inner loop, round table entries]
[44] U47@ [plant A order in code]
A4@ [make T order for same address]
T49@ [plant in code]
[The next 3 orders are manufactured at run time]
[47] AF [load table entry]
[48] AF [add earlier table entry]
[49] TF [update table entry]
A32@ [load T order for inclusive end of table]
S49@ [reached end of table?]
E60@ [if yes, jump out of inner loop]
TF [clear acc]
A48@ [update the 3 manufactured instructions]
S2F
T48@
A47@
S2F
G44@ [always loops back, since A < 0]
[End of inner loop]
[60] TF [clear acc]
A43@ [update S order for coin value]
A2F
U43@
S2@ [reached exclusive end?]
G40@ [if no, loop back]
[End of outer loop]
[Here with acc = 0 and result at end of table]
[Value is in address field, so shift 1 right for printing]
A32@ [load T order for end of tab;e]
S4@ [make A order for same address]
T79@ [plant in code]
A4@ [make O order for 1st char of ID]
U75@ [plant in code]
A2F [same for 2nd char]
T76@
O7@ [set teleprinter to letters]
[75] OF [print ID, followed by space]
[76] OF O9@
O8@ [set teleprinter to figures]
[79] AF [maunfactured order to load result]
RD [shift 1 right for printing]
TF [pass to print routine]
A9@ [replace leading 0's with space]
T1F
[84] A84@ [call print routine]
GG
O10@ O11@ [print CR, LF]
O12@ [print null to flush teleprinter buffer]
[89] ZF [replaced by jump back to caller]
[============================= G parameter ===============================]
E25K TG GK
[Subroutine to print non-negative 17-bit integer. Always prints 5 chars.
Caller specifies character for leading 0 (typically 0, space or null).
Parameters: 0F = integer to be printed (not preserved)
1F = character for leading zero (preserved)
Workspace: 4F..7F, 38 locations]
A3FT34@A1FT7FS35@T6FT4#FAFT4FH36@V4FRDA4#FR1024FH37@E23@O7FA2F
T6FT5FV4#FYFL8FT4#FA5FL1024FUFA6FG16@OFTFT7FA6FG17@ZFP4FZ219DTF
[========================== M parameter again ===============================]
E25K TM GK
E21Z [define entry point]
PF [enter with acc = 0]```
Output:
```US 242
UK 4563
```
## Elixir
Recursive Dynamic Programming solution in Elixir
```defmodule Coins do
def find(coins,lim) do
vals = Map.new(0..lim,&{&1,0}) |> Map.put(0,1)
count(coins,lim,vals)
|> Map.values
|> Enum.max
|> IO.inspect
end
defp count([],_,vals), do: vals
defp count([coin|coins],lim,vals) do
count(coins,lim,ways(coin,coin,lim,vals))
end
defp ways(num,_coin,lim,vals) when num > lim, do: vals
defp ways(num, coin,lim,vals) do
end
defp ad(a,b,c), do: Map.put(c,b,c[b]+c[b-a])
end
Coins.find([1,5,10,25],100)
Coins.find([1,5,10,25,50,100],100_000)
```
Output:
```242
13398445413854501
```
## Erlang
```-module(coins).
-compile(export_all).
count(Amount, Coins) ->
{N,_C} = count(Amount, Coins, dict:new()),
N.
count(0,_,Cache) ->
{1,Cache};
count(N,_,Cache) when N < 0 ->
{0,Cache};
count(_N,[],Cache) ->
{0,Cache};
count(N,[C|Cs]=Coins,Cache) ->
case dict:is_key({N,length(Coins)},Cache) of
true ->
{dict:fetch({N,length(Coins)},Cache), Cache};
false ->
{N1,C1} = count(N-C,Coins,Cache),
{N2,C2} = count(N,Cs,C1),
{N1+N2,dict:store({N,length(Coins)},N1+N2,C2)}
end.
print(Amount, Coins) ->
io:format("~b ways to make change for ~b cents with ~p coins~n",[count(Amount,Coins),Amount,Coins]).
test() ->
A1 = 100, C1 = [25,10,5,1],
print(A1,C1),
A2 = 100000, C2 = [100, 50, 25, 10, 5, 1],
print(A2,C2).
```
Output:
```42> coins:test().
242 ways to make change for 100 cents with [25,10,5,1] coins
13398445413854501 ways to make change for 100000 cents with [100,50,25,10,5,1] coins
ok
```
## F#
Translation of: OCaml
Forward iteration, which can also be seen in Scala.
```let changes amount coins =
let ways = Array.zeroCreate (amount + 1)
ways.[0] <- 1L
List.iter (fun coin ->
for j = coin to amount do ways.[j] <- ways.[j] + ways.[j - coin]
) coins
ways.[amount]
[<EntryPoint>]
let main argv =
printfn "%d" (changes 100 [25; 10; 5; 1]);
printfn "%d" (changes 100000 [100; 50; 25; 10; 5; 1]);
0
```
Output:
```242
13398445413854501```
## Factor
```USING: combinators kernel locals math math.ranges sequences sets sorting ;
IN: rosetta.coins
<PRIVATE
! recursive-count uses memoization and local variables.
! coins must be a sequence.
MEMO:: recursive-count ( cents coins -- ways )
coins length :> types
{
! End condition: 1 way to make 0 cents.
{ [ cents zero? ] [ 1 ] }
! End condition: 0 ways to make money without any coins.
{ [ types zero? ] [ 0 ] }
! Optimization: At most 1 way to use 1 type of coin.
{ [ types 1 number= ] [
cents coins first mod zero? [ 1 ] [ 0 ] if
] }
! Find all ways to use the first type of coin.
[
! f = first type, r = other types of coins.
coins unclip-slice :> f :> r
! Loop for 0, f, 2*f, 3*f, ..., cents.
0 cents f <range> [
! Recursively count how many ways to make remaining cents
! with other types of coins.
cents swap - r recursive-count
] [ + ] map-reduce ! Sum the counts.
]
} cond ;
PRIVATE>
! How many ways can we make the given amount of cents
! with the given set of coins?
: make-change ( cents coins -- ways )
members [ ] inv-sort-with ! Sort coins in descending order.
recursive-count ;
```
From the listener:
```USE: rosetta.coins
( scratchpad ) 100 { 25 10 5 1 } make-change .
242
( scratchpad ) 100000 { 100 50 25 10 5 1 } make-change .
13398445413854501
```
This algorithm is slow. A test machine needed 1 minute to run 100000 { 100 50 25 10 5 1 } make-change . and get 13398445413854501. The same machine needed less than 1 second to run the Common Lisp (SBCL), Ruby (MRI) or Tcl (tclsh) programs and get the same answer.
One might make use of the rosetta-code.count-the-coins vocabulary as shown:
```IN: scratchpad [ 100000 { 1 5 10 25 50 100 } make-change . ] time
13398445413854501
Running time: 0.020869274 seconds
```
For reference, the implementation is shown next.
```USING: arrays locals math math.ranges sequences sets sorting ;
IN: rosetta-code.count-the-coins
<PRIVATE
:: (make-change) ( cents coins -- ways )
cents 1 + 0 <array> :> ways
1 ways set-first
coins [| coin |
coin cents [a,b] [| j |
j coin - ways nth j ways [ + ] change-nth
] each
] each ways last ;
PRIVATE>
! How many ways can we make the given amount of cents
! with the given set of coins?
: make-change ( cents coins -- ways )
members [ ] inv-sort-with (make-change) ;
```
Or one could implement the algorithm like described in http://www.cdn.geeksforgeeks.org/dynamic-programming-set-7-coin-change.
```USE: math.ranges
:: exchange-count ( seq val -- cnt )
val 1 + 0 <array> :> tab
0 :> old!
1 0 tab set-nth
seq length iota [
seq nth old!
old val [a,b] [| j |
j old - tab nth
j tab nth +
j tab set-nth
] each
] each
val tab nth
;
[ { 1 5 10 25 50 100 } 100000 exchange-count . ] time
13398445413854501
Running time: 0.029163549 seconds
```
## FOCAL
```01.10 S C(1)=1;S C(2)=5;S C(3)=10;S C(4)=25
01.20 F N=1,100;S T(N)=0
01.30 S T(0)=1
01.40 F M=1,4;F N=C(M),100;S T(N)=T(N)+T(N-C(M))
01.50 T %3,T(100),!
01.60 Q```
Output:
`= 242`
## Forth
```\ counting change (SICP section 1.2.2)
: table create does> swap cells + @ ;
table coin-value 0 , 1 , 5 , 10 , 25 , 50 ,
: count-change ( total coin -- n )
over 0= if
2drop 1
else over 0< over 0= or if
2drop 0
else
2dup coin-value - over recurse
>r 1- recurse r> +
then then ;
100 5 count-change .
```
## FreeBASIC
Translation from "Dynamic Programming Solution: Python version" on this webside [1]
```' version 09-10-2016
' compile with: fbc -s console
Function count(S() As UInteger, n As UInteger) As ULongInt
Dim As Integer i, j
' calculate m from array S()
Dim As UInteger m = UBound(S) - LBound(S) +1
Dim As ULongInt x, y
'' We need n+1 rows as the table is consturcted in bottom up manner using
'' the base case 0 value case (n = 0)
Dim As ULongInt table(n +1, m)
'' Fill the enteries for 0 value case (n = 0)
For i = 0 To m -1
table(0, i) = 1
Next
'' Fill rest of the table enteries in bottom up manner
For i = 1 To n
For j = 0 To m -1
'' Count of solutions including S[j]
x = IIf (i >= S(j), table(i - S(j), j), 0)
'' Count of solutions excluding S[j]
y = IIf (j >= 1, table(i, j -1), 0)
''total count
table(i, j) = x + y
Next
Next
Return table(n, m -1)
End Function
' ------=< MAIN >=------
Dim As UInteger n
Dim As UInteger value()
ReDim value(3)
value(0) = 1 : value(1) = 5 : value(2) = 10 : value(3) = 25
n = 100
print
Print " There are "; count(value(), n); " ways to make change for \$";n/100;" with 4 coins"
Print
n = 100000
Print " There are "; count(value(), n); " ways to make change for \$";n/100;" with 4 coins"
Print
ReDim value(5)
value(0) = 1 : value(1) = 5 : value(2) = 10
value(3) = 25 : value(4) = 50 : value(5) = 100
n = 100000
Print " There are "; count(value(), n); " ways to make change for \$";n/100;" with 6 coins"
Print
' empty keyboard buffer
While Inkey <> "" : Wend
Print : Print "hit any key to end program"
Sleep
End```
Output:
``` There are 242 ways to make change for \$ 1 with 4 coins
There are 133423351001 ways to make change for \$ 1000 with 4 coins
There are 13398445413854501 ways to make change for \$ 1000 with 6 coins```
## FutureBasic
```include "NSLog.incl"
void local fn Doit
long penny, nickel, dime, quarter, count = 0
NSLogSetTabInterval(30)
for penny = 0 to 100
for nickel = 0 to 20
for dime = 0 to 10
for quarter = 0 to 4
if penny + nickel * 5 + dime * 10 + quarter * 25 == 100
NSLog(@"%ld pennies\t%ld nickels\t%ld dimes\t%ld quarters",penny,nickel,dime,quarter)
count++
end if
next quarter
next dime
next nickel
next penny
NSLog(@"\n%ld ways to make a dollar",count)
end fn
fn DoIt
HandleEvents```
Output:
```0 pennies 0 nickels 0 dimes 4 quarters
0 pennies 0 nickels 5 dimes 2 quarters
0 pennies 0 nickels 10 dimes 0 quarters
0 pennies 1 nickels 2 dimes 3 quarters
......
65 pennies 5 nickels 1 dimes 0 quarters
65 pennies 7 nickels 0 dimes 0 quarters
70 pennies 0 nickels 3 dimes 0 quarters
70 pennies 1 nickels 0 dimes 1 quarters
242 ways to make a dollar```
## Go
Translation of: lisp
```package main
import "fmt"
func main() {
amount := 100
fmt.Println("amount, ways to make change:", amount, countChange(amount))
}
func countChange(amount int) int64 {
return cc(amount, 4)
}
func cc(amount, kindsOfCoins int) int64 {
switch {
case amount == 0:
return 1
case amount < 0 || kindsOfCoins == 0:
return 0
}
return cc(amount, kindsOfCoins-1) +
cc(amount - firstDenomination(kindsOfCoins), kindsOfCoins)
}
func firstDenomination(kindsOfCoins int) int {
switch kindsOfCoins {
case 1:
return 1
case 2:
return 5
case 3:
return 10
case 4:
return 25
}
panic(kindsOfCoins)
}
```
Output:
```amount, ways to make change: 100 242
```
Alternative algorithm, practical for the optional task.
```package main
import "fmt"
func main() {
amount := 1000 * 100
fmt.Println("amount, ways to make change:", amount, countChange(amount))
}
func countChange(amount int) int64 {
ways := make([]int64, amount+1)
ways[0] = 1
for _, coin := range []int{100, 50, 25, 10, 5, 1} {
for j := coin; j <= amount; j++ {
ways[j] += ways[j-coin]
}
}
return ways[amount]
}
```
Output:
```amount, ways to make change: 100000 13398445413854501
```
## Groovy
Translation of: Go
Intuitive Recursive Solution:
```def ccR
ccR = { BigInteger tot, List<BigInteger> coins ->
BigInteger n = coins.size()
switch ([tot:tot, coins:coins]) {
case { it.tot == 0 } :
return 1g
case { it.tot < 0 || coins == [] } :
return 0g
default:
return ccR(tot, coins[1..<n]) +
ccR(tot - coins[0], coins)
}
}
```
Fast Iterative Solution:
```def ccI = { BigInteger tot, List<BigInteger> coins ->
List<BigInteger> ways = [0g] * (tot+1)
ways[0] = 1g
coins.each { BigInteger coin ->
(coin..tot).each { j ->
ways[j] += ways[j-coin]
}
}
ways[tot]
}
```
Test:
```println '\nBase:'
[iterative: ccI, recursive: ccR].each { label, cc ->
print "\${label} "
def start = System.currentTimeMillis()
def ways = cc(100g, [25g, 10g, 5g, 1g])
def elapsed = System.currentTimeMillis() - start
println ("answer: \${ways} elapsed: \${elapsed}ms")
}
print '\nExtra Credit:\niterative '
def start = System.currentTimeMillis()
def ways = ccI(1000g * 100, [100g, 50g, 25g, 10g, 5g, 1g])
def elapsed = System.currentTimeMillis() - start
println ("answer: \${ways} elapsed: \${elapsed}ms")
```
Output:
```Base:
iterative answer: 242 elapsed: 5ms
recursive answer: 242 elapsed: 220ms
Extra Credit:
iterative answer: 13398445413854501 elapsed: 1077ms```
Naive implementation:
```count :: (Integral t, Integral a) => t -> [t] -> a
count 0 _ = 1
count _ [] = 0
count x (c:coins) =
sum
[ count (x - (n * c)) coins
| n <- [0 .. (quot x c)] ]
main :: IO ()
main = print (count 100 [1, 5, 10, 25])
```
Much faster, probably harder to read, is to update results from bottom up:
```count :: Integral a => [Int] -> [a]
count = foldr addCoin (1 : repeat 0)
where
addCoin c oldlist = newlist
where
newlist = take c oldlist ++ zipWith (+) newlist (drop c oldlist)
main :: IO ()
main = do
print (count [25, 10, 5, 1] !! 100)
print (count [100, 50, 25, 10, 5, 1] !! 10000)
```
Or equivalently, (reformulating slightly, and adding a further test):
```import Data.Function (fix)
count
:: Integral a
=> [Int] -> [a]
count =
foldr
(\x a ->
let (l, r) = splitAt x a
in fix ((<>) l . flip (zipWith (+)) r))
(1 : repeat 0)
---------------------------- TEST --------------------------
main :: IO ()
main =
mapM_
(print . uncurry ((!!) . count))
[ ([25, 10, 5, 1], 100)
, ([100, 50, 25, 10, 5, 1], 10000)
, ([100, 50, 25, 10, 5, 1], 1000000)
]
```
Output:
```242
139946140451
1333983445341383545001```
## Icon and Unicon
```procedure main()
US_coins := [1, 5, 10, 25]
US_allcoins := [1,5,10,25,50,100]
EU_coins := [1, 2, 5, 10, 20, 50, 100, 200]
CDN_coins := [1,5,10,25,100,200]
CDN_allcoins := [1,5,10,25,50,100,200]
every trans := ![ [15,US_coins],
[100,US_coins],
[1000*100,US_allcoins]
] do
printf("There are %i ways to count change for %i using %s coins.\n",CountCoins!trans,trans[1],ShowList(trans[2]))
end
procedure ShowList(L) # helper list to string
every (s := "[ ") ||:= !L || " "
return s || "]"
end
```
This is a naive implementation and very slow.
This example is in need of improvement: Needs a better algorithm.
```procedure CountCoins(amt,coins) # very slow, recurse by coin value
local count
static S
if type(coins) == "list" then {
S := sort(set(coins))
if *S < 1 then runerr(205,coins)
return CountCoins(amt)
}
else {
/coins := 1
if value := S[coins] then {
every (count := 0) +:= CountCoins(amt - (0 to amt by value), coins + 1)
return count
}
else
return (amt ~= 0) | 1
}
end
```
Output:
```There are 6 ways to count change for 15 using [ 1 5 10 25 ] coins.
There are 242 ways to count change for 100 using [ 1 5 10 25 ] coins.
^c```
Another one:
```# coin.icn
# usage: coin value
procedure count(coinlist, value)
if value = 0 then return 1
if value < 0 then return 0
if (*coinlist <= 0) & (value >= 1) then return 0
return count(coinlist[1:*coinlist], value) + count(coinlist, value - coinlist[*coinlist])
end
procedure main(params)
money := params[1]
coins := [1,5,10,25]
writes("Value of ", money, " can be changed by using a set of ")
every writes(coins[1 to *coins], " ")
write(" coins in ", count(coins, money), " different ways.")
end
```
Output:
```Value of 15 can be changed by using a set of 1 5 10 25 coins in 6 different ways.
Value of 100 can be changed by using a set of 1 5 10 25 coins in 242 different ways.
```
## IS-BASIC
```100 PROGRAM "Coins.bas"
110 LET MONEY=100
120 LET COUNT=0
125 PRINT "Count Pennies Nickles Dimes Quaters"
130 FOR QC=0 TO INT(MONEY/25)
150 FOR DC=0 TO INT((MONEY-QC*25)/10)
170 FOR NC=0 TO INT((MONEY-DC*10)/5)
190 FOR PC=0 TO MONEY-NC*5 STEP 5
200 LET S=PC+NC*5+DC*10+QC*25
210 IF S=MONEY THEN
220 LET COUNT=COUNT+1
230 PRINT COUNT,PC,NC,DC,QC
240 END IF
250 NEXT
260 NEXT
270 NEXT
280 NEXT
290 PRINT COUNT;"different combinations found."```
## J
In this draft intermediate results are a two column array. The first column is tallies -- the number of ways we have for reaching the total represented in the second column, which is unallocated value (which we will assume are pennies). We will have one row for each different in-range value which can be represented using only nickles (0, 5, 10, ... 95, 100).
```merge=: ({:"1 (+/@:({."1),{:@{:)/. ])@;
count=: {.@] <@,. {:@] - [ * [ i.@>:@<.@%~ {:@]
init=: (1 ,. ,.)^:(0=#@\$)
nsplits=: 0 { [: +/ [: (merge@:(count"1) init)/ }.@/:~@~.@,
```
This implementation special cases the handling of pennies and assumes that the lowest coin value in the argument is 1. If I needed additional performance, I would next special case the handling of nickles/penny combinations...
Thus:
``` 100 nsplits 1 5 10 25
242
```
And, on a 64 bit machine with sufficient memory:
``` 100000 nsplits 1 5 10 25 50 100
13398445413854501
```
Warning: the above version can miss one when the largest coin is equal to the total value.
For British viewers change from £10 using £10 £5 £2 £1 50p 20p 10p 5p 2p and 1p
``` init =: 4 : '(1+x)\$1'
length1 =: 4 : '1=#y'
f =: 4 : ',/ +/\ (-x) ]\ y'
1000 { f ` init @. length1 / 1000 500 200 100 50 20 10 5 2 , 1000 0
327631322
NB. this is a foldLeft once initialised the intermediate right arguments are arrays
1000 f 500 f 200 f 100 f 50 f 20 f 10 f 5 f 2 f (1000 init 0)
```
## Java
Translation of: D
Works with: Java version 1.5+
```import java.util.Arrays;
import java.math.BigInteger;
class CountTheCoins {
private static BigInteger countChanges(int amount, int[] coins){
final int n = coins.length;
int cycle = 0;
for (int c : coins)
if (c <= amount && c >= cycle)
cycle = c + 1;
cycle *= n;
BigInteger[] table = new BigInteger[cycle];
Arrays.fill(table, 0, n, BigInteger.ONE);
Arrays.fill(table, n, cycle, BigInteger.ZERO);
int pos = n;
for (int s = 1; s <= amount; s++) {
for (int i = 0; i < n; i++) {
if (i == 0 && pos >= cycle)
pos = 0;
if (coins[i] <= s) {
final int q = pos - (coins[i] * n);
table[pos] = (q >= 0) ? table[q] : table[q + cycle];
}
if (i != 0)
table[pos] = table[pos].add(table[pos - 1]);
pos++;
}
}
return table[pos - 1];
}
public static void main(String[] args) {
final int[][] coinsUsEu = {{100, 50, 25, 10, 5, 1},
{200, 100, 50, 20, 10, 5, 2, 1}};
for (int[] coins : coinsUsEu) {
System.out.println(countChanges( 100,
Arrays.copyOfRange(coins, 2, coins.length)));
System.out.println(countChanges( 100000, coins));
System.out.println(countChanges( 1000000, coins));
System.out.println(countChanges(10000000, coins) + "\n");
}
}
}```
Output:
```242
13398445413854501
1333983445341383545001
133339833445334138335450001
4562
10056050940818192726001
99341140660285639188927260001
992198221207406412424859964272600001```
## JavaScript
### Iterative
Efficient iterative algorithm (cleverly calculates number of combinations without permuting them)
```function countcoins(t, o) {
'use strict';
var targetsLength = t + 1;
var operandsLength = o.length;
t = [1];
for (var a = 0; a < operandsLength; a++) {
for (var b = 1; b < targetsLength; b++) {
// initialise undefined target
t[b] = t[b] ? t[b] : 0;
// accumulate target + operand ways
t[b] += (b < o[a]) ? 0 : t[b - o[a]];
}
}
return t[targetsLength - 1];
}
```
Output:
JavaScript hits integer limit for optional task
```countcoins(100, [1,5,10,25]);
242
```
### Recursive
Inefficient recursive algorithm (naively calculates number of combinations by actually permuting them)
```function countcoins(t, o) {
'use strict';
var operandsLength = o.length;
var solutions = 0;
function permutate(a, x) {
// base case
if (a === t) {
solutions++;
}
// recursive case
else if (a < t) {
for (var i = 0; i < operandsLength; i++) {
if (i >= x) {
permutate(o[i] + a, i);
}
}
}
}
permutate(0, 0);
return solutions;
}
```
Output:
Too slow for optional task
```countcoins(100, [1,5,10,25]);
242
```
### Iterative again
Translation of: C#
```var amount = 100,
coin = [1, 5, 10, 25]
var t = [1];
for (t[amount] = 0, a = 1; a < amount; a++) t[a] = 0 // initialise t[0..amount]=[1,0,...,0]
for (var i = 0, e = coin.length; i < e; i++)
for (var ci = coin[i], a = ci; a <= amount; a++)
t[a] += t[a - ci]
document.write(t[amount])
```
Output:
`242`
## jq
Currently jq uses IEEE 754 64-bit numbers. Large integers are approximated by floats, and therefore the answer that the following program provides for the optional task is only correct for the first 15 digits.
```# How many ways are there to make "target" cents, given a list of coin
# denominations as input.
# The strategy is to record at total[n] the number of ways to make n cents.
def countcoins(target):
. as \$coin
| reduce range(0; length) as \$a
( [1]; # there is 1 way to make 0 cents
reduce range(1; target + 1) as \$b
(.; # total[]
if \$b < \$coin[\$a] then .
else .[\$b - \$coin[\$a]] as \$count
| if \$count == 0 then .
else .[\$b] += \$count
end
end ) )
| .[target] ;```
Example:
```[1,5,10,25] | countcoins(100)
```
Output:
```242
```
## Julia
Translation of: Python
```function changes(amount::Int, coins::Array{Int})::Int128
ways = zeros(Int128, amount + 1)
ways[1] = 1
for coin in coins, j in coin+1:amount+1
ways[j] += ways[j - coin]
end
return ways[amount + 1]
end
@show changes(100, [1, 5, 10, 25])
@show changes(100000, [1, 5, 10, 25, 50, 100])
```
Output:
```changes(100, [1, 5, 10, 25]) = 242
changes(100000, [1, 5, 10, 25, 50, 100]) = 13398445413854501```
## Kotlin
Translation of: C#
```// version 1.0.6
fun countCoins(c: IntArray, m: Int, n: Int): Long {
val table = LongArray(n + 1)
table[0] = 1
for (i in 0 until m)
for (j in c[i]..n) table[j] += table[j - c[i]]
return table[n]
}
fun main(args: Array<String>) {
val c = intArrayOf(1, 5, 10, 25, 50, 100)
println(countCoins(c, 4, 100))
println(countCoins(c, 6, 1000 * 100))
}
```
Output:
```242
13398445413854501
```
## Lasso
Inspired by the javascript iterative example for the same task
```define cointcoins(
target::integer,
operands::array
) => {
local(
targetlength = #target + 1,
operandlength = #operands -> size,
output = staticarray_join(#targetlength,0),
outerloopcount
)
#output -> get(1) = 1
loop(#operandlength) => {
#outerloopcount = loop_count
loop(#targetlength) => {
if(loop_count >= #operands -> get(#outerloopcount) and loop_count - #operands -> get(#outerloopcount) > 0) => {
#output -> get(loop_count) += #output -> get(loop_count - #operands -> get(#outerloopcount))
}
}
}
return #output -> get(#targetlength)
}
cointcoins(100, array(1,5,10,25,))
'<br />'
cointcoins(100000, array(1, 5, 10, 25, 50, 100))
```
Output:
```242
13398445413854501```
## Lua
Lua uses one-based indexes but table keys can be any value so you can define an element 0 just as easily as you can define an element "foo"...
```function countSums (amount, values)
local t = {}
for i = 1, amount do t[i] = 0 end
t[0] = 1
for k, val in pairs(values) do
for i = val, amount do t[i] = t[i] + t[i - val] end
end
return t[amount]
end
print(countSums(100, {1, 5, 10, 25}))
print(countSums(100000, {1, 5, 10, 25, 50, 100}))
```
Output:
```242
1.3398445413855e+16```
## M2000 Interpreter
### Fast O(n*m)
Works with decimals in table()
```Module FindCoins {
Function count(c(), n) {
dim table(n+1)=0@ : table(0)=1@
for c=0 to len(c())-1 {
if c(c)>n then exit
}
if c else exit
for i=0 to c-1 {for j=c(i) to n {table(j)+=table(j-c(i))}}
=table(n)
}
Print "For 1\$ ways to change:";count((1,5,10,25),100)
Print "For 100\$ (optional task ways to change):";count((1,5,10,25,50,100),100000)
}
FindCoins```
Output:
```For 1\$ ways to change:242
For 100\$ (optional task) ways to change:13398445413854501
```
### With Recursion with saving partial results
Using an inventory (a kind of vector) to save first search (but is slower than previous one)
```Module CheckThisToo {
inventory c=" 0 0":=1@
make_change=lambda c (amount, coins()) ->{
m=lambda c,coins() (n,m)->{if n<0 or m<0 then =0@:exit
if exist(c,str\$(n)+str\$(m)) then =eval(c):exit
append c,str\$(n)+str\$(m):=lambda(n-coins(m), m)+lambda(n, m-1):=c(str\$(n)+str\$(m))}
=m(amount,len(coins())-1)
}
Print make_change(100, (1,5,10,25,50,100))=293
Print make_change(100, (1,5,10,25))=242
Print make_change(15, (1,5,10,25))=6
Print make_change(5, (1,5,10,25))=2
}
CheckThisToo```
``` NORMAL MODE IS INTEGER
DIMENSION TAB(101)
THROUGH ZERO, FOR N = 1, 1, N.G.100
ZERO TAB(N) = 0
TAB(0) = 1
THROUGH STEP, FOR VALUES OF COIN = 1, 5, 10, 25
THROUGH STEP, FOR N = COIN, 1, N.G.100
STEP TAB(N) = TAB(N) + TAB(N - COIN)
VECTOR VALUES FMT = \$I3*\$
PRINT FORMAT FMT, TAB(100)
END OF PROGRAM```
Output:
`242`
## Maple
Straightforward implementation with power series. Not very efficient for large amounts. Note that in the following, all amounts are in cents.
```assume(p::posint,abs(x)<1):
coin:=unapply(sum(x^(p*n),n=0..infinity),p):
ways:=(amount,purse)->coeff(series(mul(coin(k),k in purse),x,amount+1),x,amount):
ways(100,[1,5,10,25]);
# 242
ways(1000,[1,5,10,25,50,100]);
# 2103596
ways(10000,[1,5,10,25,50,100]);
# 139946140451
ways(100000,[1,5,10,25,50,100]);
# 13398445413854501```
A faster implementation.
```ways2:=proc(amount,purse)
local a,n,k;
a:=Array(1..amount);
for k in purse do
for n from k to amount do
if n=k then
a[n]++;
else
a[n]+=a[n-k]
fi
od
od;
a[-1]
end:
ways2(100,[1,5,10,25]);
# 242
ways2(100,[1,5,10,25,50,100]);
# 293
ways2(1000,[1,5,10,25,50,100]);
# 2103596
ways2(10000,[1,5,10,25,50,100]);
# 139946140451
ways2(100000,[1,5,10,25,50,100]);
# 13398445413854501
ways2(1000000,[1,5,10,25,50,100]);
# 1333983445341383545001
ways2(10000000,[1,5,10,25,50,100]);
# 133339833445334138335450001
ways2(100000000,[1,5,10,25,50,100]);
# 13333398333445333413833354500001```
Additionally, while it's not proved as is, we can see that the first values for an amount 10^k obey the following simple formula:
```P:=n->4/(3*10^9)*n^5+65/10^8*n^4+112/10^6*n^3+805/10^5*n^2+635/3000*n+1:
for k from 2 to 8 do lprint(P(10^k)) od:
293
2103596
139946140451
13398445413854501
1333983445341383545001
133339833445334138335450001
13333398333445333413833354500001```
The polynomial P(n) seems to give the correct number of ways iff n is a multiple of 100 (tested up to n=10000000), i.e. the number of ways for 100n is
`Q:=n->40/3*n^5+65*n^4+112*n^3+161/2*n^2+127/6*n+1:`
## Mathematica / Wolfram Language
Translation of: Go
```CountCoins[amount_, coinlist_] := ( ways = ConstantArray[1, amount];
Do[For[j = coin, j <= amount, j++,
If[ j - coin == 0,
ways[[j]] ++,
ways[[j]] += ways[[j - coin]]
]]
, {coin, coinlist}];
ways[[amount]])
```
Example usage:
```CountCoins[100, {25, 10, 5}]
-> 242
CountCoins[100000, {100, 50, 25, 10, 5}]
-> 13398445413854501```
## MATLAB / Octave
```%% Count_The_Coins
clear;close all;clc;
tic
for i = 1:2 % 1st loop is main challenge 2nd loop is optional challenge
if (i == 1)
amount = 100; % Matlab indexes from 1 not 0, so we need to add 1 to our target value
amount = amount + 1;
coins = [1 5 10 25]; % Value of coins we can use
else
amount = 100*1000; % Matlab indexes from 1 not 0, so we need to add 1 to our target value
amount = amount + 1;
coins = [1 5 10 25 50 100]; % Value of coins we can use
end % End if
ways = zeros(1,amount); % Preallocating for speed
ways(1) = 1; % First solution is 1
% Solves from smallest sub problem to largest (bottom up approach of dynamic programming).
for j = 1:length(coins)
for K = coins(j)+1:amount
ways(K) = ways(K) + ways(K-coins(j));
end % End for
end % End for
if (i == 1)
fprintf(‘Main Challenge: %d \n', ways(amount));
else
fprintf(‘Bonus Challenge: %d \n', ways(amount));
end % End if
end % End for
toc
```
Example Output:
```Main Challenge: 242
Bonus Challenge: 13398445413854501```
## Mercury
```:- module coins.
:- interface.
:- import_module int, io.
:- type coin ---> quarter; dime; nickel; penny.
:- type purse ---> purse(int, int, int, int).
:- pred sum_to(int::in, purse::out) is nondet.
:- pred main(io::di, io::uo) is det.
:- implementation.
:- import_module solutions, list, string.
:- func value(coin) = int.
value(quarter) = 25.
value(dime) = 10.
value(nickel) = 5.
value(penny) = 1.
:- pred supply(coin::in, int::in, int::out) is multi.
supply(C, Target, N) :- upto(Target div value(C), N).
:- pred upto(int::in, int::out) is multi.
upto(N, R) :- ( nondet_int_in_range(0, N, R0) -> R = R0 ; R = 0 ).
sum_to(To, Purse) :-
Purse = purse(Q, D, N, P),
sum(Purse) = To,
supply(quarter, To, Q),
supply(dime, To, D),
supply(nickel, To, N),
supply(penny, To, P).
:- func sum(purse) = int.
sum(purse(Q, D, N, P)) =
value(quarter) * Q + value(dime) * D +
value(nickel) * N + value(penny) * P.
main(!IO) :-
solutions(sum_to(100), L),
show(L, !IO),
io.format("There are %d ways to make change for a dollar.\n",
[i(length(L))], !IO).
:- pred show(list(purse)::in, io::di, io::uo) is det.
show([], !IO).
show([P|T], !IO) :-
io.write(P, !IO), io.nl(!IO),
show(T, !IO).```
## Nim
Translation of: Python
```proc changes(amount: int, coins: openArray[int]): int =
var ways = @[1]
ways.setLen(amount+1)
for coin in coins:
for j in coin..amount:
ways[j] += ways[j-coin]
ways[amount]
echo changes(100, [1, 5, 10, 25])
echo changes(100000, [1, 5, 10, 25, 50, 100])
```
Output:
```242
13398445413854501```
## OCaml
Translation of the D minimal version:
```let changes amount coins =
let ways = Array.make (amount + 1) 0L in
ways.(0) <- 1L;
List.iter (fun coin ->
for j = coin to amount do
ways.(j) <- Int64.add ways.(j) ways.(j - coin)
done
) coins;
ways.(amount)
let () =
Printf.printf "%Ld\n" (changes 1_00 [25; 10; 5; 1]);
Printf.printf "%Ld\n" (changes 1000_00 [100; 50; 25; 10; 5; 1]);
;;
```
Output:
```\$ ocaml coins.ml
242
13398445413854501```
## PARI/GP
```coins(v)=prod(i=1,#v,1/(1-'x^v[i]));
ways(v,n)=polcoeff(coins(v)+O('x^(n+1)),n);
ways([1,5,10,25],100)
ways([1,5,10,25,50,100],100000)```
Output:
```%1 = 242
%2 = 13398445413854501```
## Pascal
```program countTheCoins;
{\$mode objfpc}{\$H+}
var
count, quarter, dime, nickel, penny: integer;
begin
count := 0;
for penny := 0 to 100 do
for nickel := 0 to 20 do
for dime := 0 to 10 do
for quarter := 0 to 4 do
if (penny + 5 * nickel + 10 * dime + 25 * quarter = 100) then
begin
writeln(penny, ' pennies ', nickel, ' nickels ', dime, ' dimes ', quarter, ' quarters');
count := count + 1;
end;
writeln('The number of ways to make change for a dollar is: ', count); // 242 ways to make change for a dollar
end.
```
Output:
```0 pennies 0 nickels 0 dimes 4 quarters
0 pennies 0 nickels 5 dimes 2 quarters
0 pennies 0 nickels 10 dimes 0 quarters
0 pennies 1 nickels 2 dimes 3 quarters
......
85 pennies 1 nickels 1 dimes 0 quarters
85 pennies 3 nickels 0 dimes 0 quarters
90 pennies 0 nickels 1 dimes 0 quarters
90 pennies 2 nickels 0 dimes 0 quarters
95 pennies 1 nickels 0 dimes 0 quarters
100 pennies 0 nickels 0 dimes 0 quarters
The number of ways to make change for a dollar is: 242
```
## Perl
```use 5.01;
use Memoize;
sub cc {
my \$amount = shift;
return 0 if !@_ || \$amount < 0;
return 1 if \$amount == 0;
my \$first = shift;
cc( \$amount, @_ ) + cc( \$amount - \$first, \$first, @_ );
}
memoize 'cc';
# Make recursive algorithm run faster by sorting coins descending by value:
sub cc_optimized {
my \$amount = shift;
cc( \$amount, sort { \$b <=> \$a } @_ );
}
say 'Ways to change \$ 1 with common coins: ',
cc_optimized( 100, 1, 5, 10, 25 );
say 'Ways to change \$ 1000 with addition of less common coins: ',
cc_optimized( 1000 * 100, 1, 5, 10, 25, 50, 100 );
```
Output:
```Ways to change \$ 1 with common coins: 242
Ways to change \$ 1000 with addition of less common coins: 13398445413854501
```
## Phix
```function coin_count(sequence coins, integer amount)
sequence s = repeat(0,amount+1)
s[1] = 1
for c=1 to length(coins) do
for n=coins[c] to amount do
s[n+1] += s[n-coins[c]+1]
end for
end for
return s[amount+1]
end function
```
An attempt to explain this algorithm further seems worthwhile:
```function coin_count(sequence coins, integer amount)
-- start with 1 known way to achieve 0 (being no coins)
-- (nb: s[1] holds the solution for 0, s[n+1] for n)
sequence s = repeat(0,amount+1)
s[1] = 1
-- then for every coin that we can use, increase number of
-- solutions by that previously found for the remainder.
for c=1 to length(coins) do
-- this inner loop is essentially behaving as if we had
-- called this routine with 1..amount, but skipping any
-- less than the coin's value, hence coins[c]..amount.
for n=coins[c] to amount do
s[n+1] += s[n-coins[c]+1]
end for
end for
return s[amount+1]
end function
-- The key to understanding the above is to try a dry run of this:
printf(1,"%d\n",coin_count({2,3},5)) -- (prints 1)
-- You'll need 4 2p coins, 3 3p coins, and 5 spaces marked 1..5.
-- Place 2p wherever it fits: 1:0 2:1 3:1 4:1 5:1
-- Add previously found solns: +0 +1 +0 +1 +0 [1]
-- Place 3p wherever it fits: 1:0 2:0 3:1 4:1 5:1
-- Add previously found solns: +0 +0 +1 +0 +1 [2]
-- [1] obviously at 2: we added the base soln for amount=0,
-- and at 4: we added the previously found soln for 2.
-- also note that we added nothing for 2p+3p, yet, that
-- fact is central to understanding why this works. [3]
-- [2] obviously at 3: we added the base soln for amount=0,
-- at 4: we added the zero solutions yet found for 1p,
-- and at 5: we added the previously found soln for 2.
-- you can imagine at 6,9,12 etc all add in soln for 3,
-- albeit by adding that as just added to the precessor.
-- [3] since we add no 3p solns when processing 2p, we do
-- not count 2p+3p and 3p+2p as two solutions.
--For N = 4 and S = {1,2,3}, there are four solutions: {1,1,1,1},{1,1,2},{2,2},{1,3}.
printf(1,"%d\n",coin_count({1,2,3},4))
--For N = 10 and S = {2, 5, 3, 6}, there are five solutions: {2,2,2,2,2}, {2,2,3,3}, {2,2,6}, {2,3,5} and {5,5}.
printf(1,"%d\n\n",coin_count({2,3,5,6},10))
printf(1,"%d\n",coin_count({25, 10, 5, 1},1_00))
printf(1,"%,d\n",coin_count({100, 50, 25, 10, 5, 1},1000_00))
```
Output:
```1
4
5
242
13,398,445,413,854,501
```
Note that a slightly wrong value is printed when running this on 32 bits:
```13,398,445,413,854,501 -- 64 bit (exact)
13,398,445,413,854,496 -- 32 bit (5 out)
9,007,199,254,740,992 -- max precision (53 bits) of a 64-bit float
```
## Picat
Using dynamic programming with tabling.
```go =>
Problems = [[ 1*100, [25,10,5,1]], % 1 dollar
[ 100*100, [100,50,25,10,5,1]], % 100 dollars
[ 1_000*100, [100,50,25,10,5,1]], % 1000 dollars
[ 10_000*100, [100,50,25,10,5,1]], % 10000 dollars
[100_000*100, [100,50,25,10,5,1]] % 100000 dollars
],
foreach([N,L] in Problems)
initialize_table, % clear the tabling from previous run
println([n=N,l=L]),
time(println(num_sols=coins(L,N,1)))
end.
table
coins(Coins, Money, M) = Sum =>
Sum1 = 0,
Len = Coins.length,
if M == Len then
Sum1 := 1,
else
foreach(I in M..Len)
if Money - Coins[I] == 0 then
Sum1 := Sum1 + 1
end,
if Money - Coins[I] > 0 then
Sum1 := Sum1 + coins(Coins, Money-Coins[I], I)
end,
end
end,
Sum = Sum1.```
Output:
```[n = 100,l = [25,10,5,1]]
num_sols = 242
CPU time 0.0 seconds.
[n = 10000,l = [100,50,25,10,5,1]]
num_sols = 139946140451
CPU time 0.005 seconds.
[n = 100000,l = [100,50,25,10,5,1]]
num_sols = 13398445413854501
CPU time 0.046 seconds.
[n = 1000000,l = [100,50,25,10,5,1]]
num_sols = 1333983445341383545001
CPU time 0.496 seconds.
[n = 10000000,l = [100,50,25,10,5,1]]
num_sols = 133339833445334138335450001
CPU time 5.402 seconds.```
## PicoLisp
Translation of: C
```(de coins (Sum Coins)
(let (Buf (mapcar '((N) (cons 1 (need (dec N) 0))) Coins) Prev)
(do Sum
(zero Prev)
(for L Buf
(inc (rot L) Prev)
(setq Prev (car L)) ) )
Prev ) )```
Test:
```(for Coins '((100 50 25 10 5 1) (200 100 50 20 10 5 2 1))
(println (coins 100 (cddr Coins)))
(println (coins (* 1000 100) Coins))
(println (coins (* 10000 100) Coins))
(println (coins (* 100000 100) Coins))
(prinl) )```
Output:
```242
13398445413854501
1333983445341383545001
133339833445334138335450001
4562
10056050940818192726001
99341140660285639188927260001
992198221207406412424859964272600001```
## Prolog
Basic version using brute force and constraint programming, the bonus version will work but takes a long time so skipped it.
```:- use_module(library(clpfd)).
% Basic, Q = Quarter, D = Dime, N = Nickel, P = Penny
coins(Q, D, N, P, T) :-
[Q,D,N,P] ins 0..T,
T #= (Q * 25) + (D * 10) + (N * 5) + P.
coins_for(T) :-
coins(Q,D,N,P,T),
maplist(indomain, [Q,D,N,P]).
```
Output:
```?- aggregate(count, coins_for(100), Count).
Count = 242.
```
## Python
### Simple version
Translation of: Go
```def changes(amount, coins):
ways = [0] * (amount + 1)
ways[0] = 1
for coin in coins:
for j in xrange(coin, amount + 1):
ways[j] += ways[j - coin]
return ways[amount]
print changes(100, [1, 5, 10, 25])
print changes(100000, [1, 5, 10, 25, 50, 100])
```
Output:
```242
13398445413854501```
### Fast version
Translation of: C
```try:
import psyco
psyco.full()
except ImportError:
pass
def count_changes(amount_cents, coins):
n = len(coins)
# max([]) instead of max() for Psyco
cycle = max([c+1 for c in coins if c <= amount_cents]) * n
table = [0] * cycle
for i in xrange(n):
table[i] = 1
pos = n
for s in xrange(1, amount_cents + 1):
for i in xrange(n):
if i == 0 and pos >= cycle:
pos = 0
if coins[i] <= s:
q = pos - coins[i] * n
table[pos]= table[q] if (q >= 0) else table[q + cycle]
if i:
table[pos] += table[pos - 1]
pos += 1
return table[pos - 1]
def main():
us_coins = [100, 50, 25, 10, 5, 1]
eu_coins = [200, 100, 50, 20, 10, 5, 2, 1]
for coins in (us_coins, eu_coins):
print count_changes( 100, coins[2:])
print count_changes( 100000, coins)
print count_changes( 1000000, coins)
print count_changes(10000000, coins), "\n"
main()
```
Output:
```242
13398445413854501
1333983445341383545001
133339833445334138335450001
4562
10056050940818192726001
99341140660285639188927260001
992198221207406412424859964272600001```
## Quackery
``` [ stack ] is lim ( --> s )
[ swap dup 1+ lim put
1 0 rot of join
swap witheach
[ 0 over of
swap negate temp put
lim share times
[ over i^ peek
over temp share peek
+ join ]
temp take negate split
nip nip ]
-1 peek
lim release ] is makechange ( n [ --> n )
say "With US coins." cr
100 ' [ 1 5 10 25 ] makechange echo cr
100000 ' [ 1 5 10 25 50 100 ] makechange echo cr
cr
say "With EU coins." cr
100 ' [ 1 2 5 10 20 50 100 200 ] makechange echo cr
100000 ' [ 1 2 5 10 20 50 100 200 ] makechange echo cr```
Output:
```With US coins.
242
13398445413854501
With EU coins.
4563
10056050940818192726001
```
## Racket
This is the basic recursive way:
```#lang racket
(define (ways-to-make-change cents coins)
(cond ((null? coins) 0)
((negative? cents) 0)
((zero? cents) 1)
(else
(+ (ways-to-make-change cents (cdr coins))
(ways-to-make-change (- cents (car coins)) coins)))))
(ways-to-make-change 100 '(25 10 5 1)) ; -> 242
```
This works for the small numbers, but the optional task is just too slow with this solution, so with little change to the code we can use memoization:
```#lang racket
(define memos (make-hash))
(define (ways-to-make-change cents coins)
(cond [(or (empty? coins) (negative? cents)) 0]
[(zero? cents) 1]
(+ (ways-to-make-change cents (rest coins))
(ways-to-make-change (- cents (first coins)) coins)))
(hash-ref! memos (cons cents coins) answerer-for-new-arguments)]))
(time (ways-to-make-change 100 '(25 10 5 1)))
(time (ways-to-make-change 100000 '(100 50 25 10 5 1)))
(time (ways-to-make-change 1000000 '(200 100 50 20 10 5 2 1)))
#| Times in milliseconds, and results:
cpu time: 1 real time: 1 gc time: 0
242
cpu time: 524 real time: 553 gc time: 163
13398445413854501
cpu time: 20223 real time: 20673 gc time: 10233
99341140660285639188927260001 |#
```
## Raku
(formerly Perl 6)
Works with: rakudo version 2018.10
Translation of: Ruby
```# Recursive (cached)
sub change-r(\$amount, @coins) {
my @cache = [1 xx @coins], |([] xx \$amount);
multi ways(\$n where \$n >= 0, @now [\$coin,*@later]) {
@cache[\$n;+@later] //= ways(\$n - \$coin, @now) + ways(\$n, @later);
}
multi ways(\$,@) { 0 }
# more efficient to start with coins sorted in descending order
ways(\$amount, @coins.sort(-*).list);
}
# Iterative
sub change-i(\n, @coins) {
my @table = [1 xx @coins], [0 xx @coins] xx n;
(1..n).map: -> \i {
for ^@coins -> \j {
my \c = @coins[j];
@table[i;j] = [+]
@table[i - c;j] // 0,
@table[i;j - 1] // 0;
}
}
@table[*-1][*-1];
}
say "Iterative:";
say change-i 1_00, [1,5,10,25];
say change-i 1000_00, [1,5,10,25,50,100];
say "\nRecursive:";
say change-r 1_00, [1,5,10,25];
say change-r 1000_00, [1,5,10,25,50,100];
```
Output:
```Iterative:
242
13398445413854501
Recursive:
242
13398445413854501```
## REXX
### recursive
The recursive calls to the subroutine have been unrolled somewhat, this reduces the number of recursive calls substantially.
These REXX versions also support fractional cents (as in a ½-cent and ¼-cent coins). Any fractional coin can be
specified as a decimal fraction (.5, .25, ···).
Support was included to allow specification of half-cent and quarter-cent coins as 1/2 and 1/4.
The amount can be specified in cents (as a number), or in dollars (as for instance, \$1000).
```/*REXX program counts the number of ways to make change with coins from an given amount.*/
numeric digits 20 /*be able to handle large amounts of \$.*/
parse arg N \$ /*obtain optional arguments from the CL*/
if N='' | N="," then N= 100 /*Not specified? Then Use \$1 (≡100¢).*/
if \$='' | \$="," then \$= 1 5 10 25 /*Use penny/nickel/dime/quarter default*/
if left(N, 1)=='\$' then N= 100 * substr(N, 2) /*the count was specified in dollars. */
coins= words(\$) /*the number of coins specified. */
NN= N; do j=1 for coins /*create a fast way of accessing specie*/
_= word(\$, j) /*define an array element for the coin.*/
if _=='1/2' then _=.5 /*an alternate spelling of a half-cent.*/
if _=='1/4' then _=.25 /* " " " " " quarter-¢.*/
\$.j= _ /*assign the value to a particular coin*/
end /*j*/
_= n//100; cnt=' cents' /* [↓] is the amount in whole dollars?*/
if _=0 then do; NN= '\$' || (NN%100); cnt= /*show the amount in dollars, not cents*/
end /*show the amount in dollars, not cents*/
say 'with an amount of ' comma(NN)cnt", there are " comma( MKchg(N, coins) )
say 'ways to make change with coins of the following denominations: ' \$
exit /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
comma: procedure; parse arg _; n= _'.9'; #= 123456789; b= verify(n, #, "M")
e= verify(n, #'0', , verify(n, #"0.", 'M')) - 4
do j=e to b by -3; _= insert(',', _, j); end /*j*/; return _
/*──────────────────────────────────────────────────────────────────────────────────────*/
MKchg: procedure expose \$.; parse arg a,k /*this function is invoked recursively.*/
if a==0 then return 1 /*unroll for a special case of zero. */
if k==1 then return 1 /* " " " " " " unity. */
if k==2 then f= 1 /*handle this special case of two. */
else f= MKchg(a, k-1) /*count, and then recurse the amount. */
if a==\$.k then return f+1 /*handle this special case of A=a coin.*/
if a <\$.k then return f /* " " " " " A<a coin.*/
return f+MKchg(a-\$.k,k) /*use diminished amount (\$) for change.*/
```
output when using the default input:
```with an amount of \$1, there are 242
ways to make change with coins of the following denominations: 1 5 10 25
```
output when using the following input: \$1 1/4 1/2 1 2 3 5 10 20 25 50 100
```with an amount of \$1, there are 29,034,171
ways to make change with coins of the following denominations: 1/4 1/2 1 2 3 5 10 20 25 50 100
```
### with memoization
This REXX version is more than a couple of orders of magnitude faster than the 1st version when using larger amounts.
```/*REXX program counts the number of ways to make change with coins from an given amount.*/
numeric digits 20 /*be able to handle large amounts of \$.*/
parse arg N \$ /*obtain optional arguments from the CL*/
if N='' | N="," then N= 100 /*Not specified? Then Use \$1 (≡100¢).*/
if \$='' | \$="," then \$= 1 5 10 25 /*Use penny/nickel/dime/quarter default*/
if left(N,1)=='\$' then N= 100 * substr(N, 2) /*the amount was specified in dollars.*/
NN= N; coins= words(\$) /*the number of coins specified. */
!.= .; do j=1 for coins /*create a fast way of accessing specie*/
_= word(\$, j); ?= _ ' coin' /*define an array element for the coin.*/
if _=='½' | _=="1/2" then _= .5 /*an alternate spelling of a half─cent.*/
if _=='¼' | _=="1/4" then _= .25 /* " " " " " quarter─¢.*/
\$.j= _ /*assign the value to a particular coin*/
end /*j*/
_= n // 100; cnt=' cents' /* [↓] is the amount in whole dollars?*/
if _=0 then do; NN= '\$' || (NN%100); cnt= /*show the amount in dollars, not cents*/
end
say 'with an amount of ' comma(NN)cnt", there are " comma( MKchg(N, coins) )
say 'ways to make change with coins of the following denominations: ' \$
exit /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
comma: procedure; parse arg _; n= _'.9'; #= 123456789; b= verify(n, #, "M")
e= verify(n, #'0', , verify(n, #"0.", 'M')) - 4
do j=e to b by -3; _= insert(',', _, j); end /*j*/; return _
/*──────────────────────────────────────────────────────────────────────────────────────*/
MKchg: procedure expose \$. !.; parse arg a,k /*function is recursive. */
if !.a.k\==. then return !.a.k /*found this A & K before? */
if a==0 then return 1 /*unroll for a special case*/
if k==1 then return 1 /* " " " " " */
if k==2 then f= 1 /*handle this special case.*/
else f= MKchg(a, k-1) /*count, recurse the amount*/
if a==\$.k then do; !.a.k= f+1; return !.a.k; end /*handle this special case.*/
if a <\$.k then do; !.a.k= f ; return f ; end /* " " " " */
!.a.k= f + MKchg(a-\$.k, k); return !.a.k /*compute, define, return. */
```
output when using the following input for the optional test case: \$1000 1 5 10 25 50 100
```with an amount of \$1,000, there are 13,398,445,413,854,501
ways to make change with coins of the following denominations: 1 5 10 25 50 100
```
### with error checking
This REXX version is identical to the previous REXX version, but has error checking for the amount and the coins specified.
```/*REXX program counts the number of ways to make change with coins from an given amount.*/
numeric digits 20 /*be able to handle large amounts of \$.*/
parse arg N \$ /*obtain optional arguments from the CL*/
if N='' | N="," then N= 100 /*Not specified? Then Use \$1 (≡100¢).*/
if \$='' | \$="," then \$= 1 5 10 25 /*Use penny/nickel/dime/quarter default*/
X= N /*save original for possible error msgs*/
if left(N,1)=='\$' then do /*the amount has a leading dollar sign.*/
_= substr(N, 2) /*the amount was specified in dollars.*/
if \isNum(_) then call ser "amount isn't numeric: " N
N= 100 * _ /*change amount (in \$) ───► cents (¢).*/
end
max\$= 10 ** digits() /*the maximum amount this pgm can have.*/
if \isNum(N) then call ser X " amount isn't numeric."
if N=0 then call ser X " amount can't be zero."
if N<0 then call ser X " amount can't be negative."
if N>max\$ then call ser X " amount can't be greater than " max\$'.'
coins= words(\$); !.= .; NN= N; p= 0 /*#coins specified; coins; amount; prev*/
@.= 0 /*verify a coin was only specified once*/
do j=1 for coins; _= word(\$, j) /*create a fast way of accessing specie*/
?= _ ' coin' /*define an array element for the coin.*/
if _=='½' | _=="1/2" then _= .5 /*an alternate spelling of a half─cent.*/
if _=='¼' | _=="1/4" then _= .25 /* " " " " " quarter─¢.*/
if \isNum(_) then call ser ? "coin value isn't numeric."
if _<0 then call ser ? "coin value can't be negative."
if _<=0 then call ser ? "coin value can't be zero."
if @._ then call ser ? "coin was already specified."
if _<p then call ser ? "coin must be greater than previous:" p
if _>N then call ser ? "coin must be less or equal to amount:" X
@._= 1; p= _ /*signify coin was specified; set prev.*/
\$.j= _ /*assign the value to a particular coin*/
end /*j*/
_= n // 100; cnt= ' cents' /* [↓] is the amount in whole dollars?*/
if _=0 then do; NN= '\$' || (NN%100); cnt= /*show the amount in dollars, not cents*/
end
say 'with an amount of ' comma(NN)cnt", there are " comma( MKchg(N, coins) )
say 'ways to make change with coins of the following denominations: ' \$
exit /*stick a fork in it, we're all done. */
/*──────────────────────────────────────────────────────────────────────────────────────*/
isNum: return datatype(arg(1), 'N') /*return 1 if arg is numeric, 0 if not.*/
ser: say; say '***error***'; say; say arg(1); say; exit 13 /*error msg.*/
/*──────────────────────────────────────────────────────────────────────────────────────*/
comma: procedure; parse arg _; n= _'.9'; #= 123456789; b= verify(n, #, "M")
e= verify(n, #'0', , verify(n, #"0.", 'M')) - 4
do j=e to b by -3; _= insert(',', _, j); end /*j*/; return _
/*──────────────────────────────────────────────────────────────────────────────────────*/
MKchg: procedure expose \$. !.; parse arg a,k /*function is recursive. */
if !.a.k\==. then return !.a.k /*found this A & K before? */
if a==0 then return 1 /*unroll for a special case*/
if k==1 then return 1 /* " " " " " */
if k==2 then f= 1 /*handle this special case.*/
else f= MKchg(a, k-1) /*count, recurse the amount*/
if a==\$.k then do; !.a.k= f+1; return !.a.k; end /*handle this special case.*/
if a <\$.k then do; !.a.k= f ; return f ; end /* " " " " */
!.a.k= f + MKchg(a-\$.k, k); return !.a.k /*compute, define, return. */
```
output is the same as the previous REXX version.
## Ring
```penny = 1
nickel = 1
dime = 1
quarter = 1
count = 0
for penny = 0 to 100
for nickel = 0 to 20
for dime = 0 to 10
for quarter = 0 to 4
if (penny + nickel * 5 + dime * 10 + quarter * 25) = 100
see "" + penny + " pennies " + nickel + " nickels " + dime + " dimes " + quarter + " quarters" + nl
count = count + 1
ok
next
next
next
next
see count + " ways to make a dollar" + nl```
Output:
```0 pennies 0 nickels 0 dimes 4 quarters
0 pennies 0 nickels 5 dimes 2 quarters
0 pennies 0 nickels 10 dimes 0 quarters
0 pennies 1 nickels 2 dimes 3 quarters
......
65 pennies 5 nickels 1 dimes 0 quarters
65 pennies 7 nickels 0 dimes 0 quarters
70 pennies 0 nickels 3 dimes 0 quarters
70 pennies 1 nickels 0 dimes 1 quarters
242 ways to make a dollar
```
## RPL
Dynamic programming (space optimized)
Source: GeeksforGeeks website
```« → coins sum
« sum 1 + 1 →LIST 0 CON @ dp[ii] will be storing the # of solutions for ii-1
1 1 PUT @ base case
1 coins SIZE FOR ii
coins ii GET SWAP
IF OVER sum ≤ THEN
@ Pick all coins one by one and update dp[] values
@ after the index greater than or equal to the value of the picked coin
OVER 1 + sum 1 + FOR j
DUP j GET
OVER j 5 PICK - GET +
j SWAP PUT
NEXT
END SWAP DROP
NEXT
DUP SIZE GET
» » 'COUNT' STO
```
```{ 1 5 10 25 } 100 COUNT
```
Output:
```1: 242
```
## Ruby
The algorithm also appears here
Recursive, with caching
```def make_change(amount, coins)
@cache = Array.new(amount+1){|i| Array.new(coins.size, i.zero? ? 1 : nil)}
@coins = coins
do_count(amount, @coins.length - 1)
end
def do_count(n, m)
if n < 0 || m < 0
0
elsif @cache[n][m]
@cache[n][m]
else
@cache[n][m] = do_count(n-@coins[m], m) + do_count(n, m-1)
end
end
p make_change( 1_00, [1,5,10,25])
p make_change(1000_00, [1,5,10,25,50,100])
```
outputs
```242
13398445413854501```
Iterative
```def make_change2(amount, coins)
n, m = amount, coins.size
table = Array.new(n+1){|i| Array.new(m, i.zero? ? 1 : nil)}
for i in 1..n
for j in 0...m
table[i][j] = (i<coins[j] ? 0 : table[i-coins[j]][j]) +
(j<1 ? 0 : table[i][j-1])
end
end
table[-1][-1]
end
p make_change2( 1_00, [1,5,10,25])
p make_change2(1000_00, [1,5,10,25,50,100])
```
outputs
```242
13398445413854501```
## Run BASIC
```for penny = 0 to 100
for nickel = 0 to 20
for dime = 0 to 10
for quarter = 0 to 4
if penny + nickel * 5 + dime * 10 + quarter * 25 = 100 then
print penny;" pennies ";nickel;" nickels "; dime;" dimes ";quarter;" quarters"
count = count + 1
end if
next quarter
next dime
next nickel
next penny
print count;" ways to make a buck"```
Output:
```0 pennies 0 nickels 0 dimes 4 quarters
0 pennies 0 nickels 5 dimes 2 quarters
0 pennies 0 nickels 10 dimes 0 quarters
0 pennies 1 nickels 2 dimes 3 quarters
......
65 pennies 5 nickels 1 dimes 0 quarters
65 pennies 7 nickels 0 dimes 0 quarters
70 pennies 0 nickels 3 dimes 0 quarters
70 pennies 1 nickels 0 dimes 1 quarters
.....
242 ways to make a buck```
## Rust
```fn make_change(coins: &[usize], cents: usize) -> usize {
let size = cents + 1;
let mut ways = vec![0; size];
ways[0] = 1;
for &coin in coins {
for amount in coin..size {
ways[amount] += ways[amount - coin];
}
}
ways[cents]
}
fn main() {
println!("{}", make_change(&[1,5,10,25], 100));
println!("{}", make_change(&[1,5,10,25,50,100], 100_000));
}
```
Output:
```242
13398445413854501```
## SAS
Generate the solutions using CLP solver in SAS/OR:
```/* call OPTMODEL procedure in SAS/OR */
proc optmodel;
/* declare set and names of coins */
set COINS = {1,5,10,25};
str name {COINS} = ['penny','nickel','dime','quarter'];
/* declare variables and constraint */
var NumCoins {COINS} >= 0 integer;
con Dollar:
sum {i in COINS} i * NumCoins[i] = 100;
/* call CLP solver */
solve with CLP / findallsolns;
/* write solutions to SAS data set */
create data sols(drop=s) from [s]=(1.._NSOL_) {i in COINS} <col(name[i])=NumCoins[i].sol[s]>;
quit;
/* print all solutions */
proc print data=sols;
run;
```
Output:
```Obs penny nickel dime quarter
1 100 0 0 0
2 95 1 0 0
3 90 2 0 0
4 85 3 0 0
5 80 4 0 0
...
238 5 2 1 3
239 0 3 1 3
240 5 0 2 3
241 0 1 2 3
242 0 0 0 4
```
## Scala
```def countChange(amount: Int, coins:List[Int]) = {
val ways = Array.fill(amount + 1)(0)
ways(0) = 1
coins.foreach (coin =>
for (j<-coin to amount)
ways(j) = ways(j) + ways(j - coin)
)
ways(amount)
}
countChange (15, List(1, 5, 10, 25))
```
Output:
```res0: Int = 6
```
Recursive implementation:
```def count(target: Int, coins: List[Int]): Int = {
if (target == 0) 1
else if (coins.isEmpty || target < 0) 0
else count(target, coins.tail) + count(target - coins.head, coins)
}
count(100, List(25, 10, 5, 1))
```
## Scheme
A simple recursive implementation:
```(define ways-to-make-change
(lambda (x coins)
(cond
[(null? coins) 0]
[(< x 0) 0]
[(zero? x) 1]
[else (+ (ways-to-make-change x (cdr coins)) (ways-to-make-change (- x (car coins)) coins))])))
(ways-to-make-change 100)
```
Output:
`242`
## Scilab
### Straightforward solution
Fairly simple solution for the task. Expanding it to the optional task is not recommend, for Scilab will spend a lot of time processing the nested `for` loops.
```amount=100;
coins=[25 10 5 1];
n_coins=zeros(coins);
ways=0;
for a=0:4
for b=0:10
for c=0:20
for d=0:100
n_coins=[a b c d];
change=sum(n_coins.*coins);
if change==amount then
ways=ways+1;
elseif change>amount
break
end
end
end
end
end
disp(ways);
```
Output:
` 242.`
### Faster approach
Translation of: Python
```function varargout=changes(amount, coins)
ways = zeros(1,amount + 2);
ways(1) = 1;
for coin=coins
for j=coin:(amount+1)
ways(j+1) = ways(j+1) + ways(j + 1 - coin);
end
end
varargout=list(ways(length(ways)))
endfunction
a=changes(100, [1, 5, 10, 25]);
b=changes(100000, [1, 5, 10, 25, 50, 100]);
mprintf("%.0f, %.0f", a, b);
```
Output:
`242, 13398445413854540`
## Seed7
```\$ include "seed7_05.s7i";
include "bigint.s7i";
const func bigInteger: changeCount (in integer: amountCents, in array integer: coins) is func
result
var bigInteger: waysToChange is 0_;
local
var array bigInteger: t is 0 times 0_;
var integer: pos is 0;
var integer: s is 0;
var integer: i is 0;
begin
t := length(coins) times 1_ & (length(coins) * amountCents) times 0_;
pos := length(coins) + 1;
for s range 1 to amountCents do
if coins[1] <= s then
t[pos] := t[pos - (length(coins) * coins[1])];
end if;
incr(pos);
for i range 2 to length(coins) do
if coins[i] <= s then
t[pos] := t[pos - (length(coins) * coins[i])];
end if;
t[pos] +:= t[pos - 1];
incr(pos);
end for;
end for;
waysToChange := t[pos - 1];
end func;
const proc: main is func
local
const array integer: usCoins is [] (1, 5, 10, 25, 50, 100);
const array integer: euCoins is [] (1, 2, 5, 10, 20, 50, 100, 200);
begin
writeln(changeCount( 100, usCoins[.. 4]));
writeln(changeCount( 100000, usCoins));
writeln(changeCount(1000000, usCoins));
writeln(changeCount( 100000, euCoins));
writeln(changeCount(1000000, euCoins));
end func;```
Output:
```242
13398445413854501
1333983445341383545001
10056050940818192726001
99341140660285639188927260001
```
## SETL
```program count_the_coins;
print(count([1, 5, 10, 25], 100));
print(count([1, 5, 10, 25, 50, 100], 1000 * 100));
proc count(coins, n);
tab := {[0, 1]};
loop for coin in coins do
loop for i in [coin..n] do
tab(i) +:= tab(i - coin) ? 0;
end loop;
end loop;
return tab(n);
end proc;
end program;```
Output:
```242
13398445413854501```
## Sidef
Translation of: Perl
```func cc(_) { 0 }
func cc({ .is_neg }, *_) { 0 }
func cc({ .is_zero }, *_) { 1 }
func cc(amount, first, *rest) is cached {
cc(amount, rest...) + cc(amount - first, first, rest...);
}
func cc_optimized(amount, *rest) {
cc(amount, rest.sort_by{|v| -v }...);
}
var x = cc_optimized(100, 1, 5, 10, 25);
say "Ways to change \$1 with common coins: #{x}";
var y = cc_optimized(1000 * 100, 1, 5, 10, 25, 50, 100);
say "Ways to change \$1000 with addition of less common coins: #{y}";
```
Output:
```Ways to change \$1 with common coins: 242
Ways to change \$1000 with addition of less common coins: 13398445413854501
```
## Swift
Translation of: Python
```import BigInt
func countCoins(amountCents cents: Int, coins: [Int]) -> BigInt {
let cycle = coins.filter({ \$0 <= cents }).map({ \$0 + 1 }).max()! * coins.count
var table = [BigInt](repeating: 0, count: cycle)
for x in 0..<coins.count {
table[x] = 1
}
var pos = coins.count
for s in 1..<cents+1 {
for i in 0..<coins.count {
if i == 0 && pos >= cycle {
pos = 0
}
if coins[i] <= s {
let q = pos - coins[i] * coins.count
table[pos] = q >= 0 ? table[q] : table[q + cycle]
}
if i != 0 {
table[pos] += table[pos - 1]
}
pos += 1
}
}
return table[pos - 1]
}
let usCoins = [100, 50, 25, 10, 5, 1]
let euCoins = [200, 100, 50, 20, 10, 5, 2, 1]
for set in [usCoins, euCoins] {
print(countCoins(amountCents: 100, coins: Array(set.dropFirst(2))))
print(countCoins(amountCents: 100000, coins: set))
print(countCoins(amountCents: 1000000, coins: set))
print(countCoins(amountCents: 10000000, coins: set))
print()
}
```
Output:
```242
13398445413854501
1333983445341383545001
133339833445334138335450001
4562
10056050940818192726001
99341140660285639188927260001
992198221207406412424859964272600001```
## Tailspin
Translation of: Rust
```templates makeChange&{coins:}
def paid: \$;
@: [1..\$paid -> 0];
\$coins... -> \(def coin: \$;
@makeChange(\$coin): \$@makeChange(\$coin) + 1;
\$coin+1..\$paid -> @makeChange(\$): \$@makeChange(\$) + \$@makeChange(\$-\$coin);
\) -> !VOID
\$@(\$paid)!
end makeChange
100 -> makeChange&{coins: [1,5,10,25]} -> '\$; ways to change a dollar
' -> !OUT::write
100000 -> makeChange&{coins: [1,5,10,25,50,100]} -> '\$; ways to change 1000 dollars with all coins
' -> !OUT::write```
Output:
```242 ways to change a dollar
13398445413854501 ways to change 1000 dollars with all coins
```
## Tcl
Translation of: Ruby
```package require Tcl 8.5
proc makeChange {amount coins} {
set table [lrepeat [expr {\$amount+1}] [lrepeat [llength \$coins] {}]]
lset table 0 [lrepeat [llength \$coins] 1]
for {set i 1} {\$i <= \$amount} {incr i} {
for {set j 0} {\$j < [llength \$coins]} {incr j} {
set k [expr {\$i - [lindex \$coins \$j]}]
lset table \$i \$j [expr {
(\$k < 0 ? 0 : [lindex \$table \$k \$j]) +
(\$j < 1 ? 0 : [lindex \$table \$i [expr {\$j-1}]])
}]
}
}
return [lindex \$table end end]
}
puts [makeChange 100 {1 5 10 25}]
puts [makeChange 100000 {1 5 10 25 50 100}]
# Making change with the EU coin set:
puts [makeChange 100 {1 2 5 10 20 50 100 200}]
puts [makeChange 100000 {1 2 5 10 20 50 100 200}]
```
Output:
```242
13398445413854501
4563
10056050940818192726001
```
## uBasic/4tH
Translation of: Run BASIC
```c = 0
for p = 0 to 100
for n = 0 to 20
for d = 0 to 10
for q = 0 to 4
if p + n * 5 + d * 10 + q * 25 = 100 then
print p;" pennies ";n;" nickels "; d;" dimes ";q;" quarters"
c = c + 1
endif
next q
next d
next n
next p
print c;" ways to make a buck"
```
Output:
```0 pennies 0 nickels 0 dimes 4 quarters
0 pennies 0 nickels 5 dimes 2 quarters
0 pennies 0 nickels 10 dimes 0 quarters
...
90 pennies 2 nickels 0 dimes 0 quarters
95 pennies 1 nickels 0 dimes 0 quarters
100 pennies 0 nickels 0 dimes 0 quarters
242 ways to make a buck
0 OK, 0:312```
## UNIX Shell
Translation of: Common Lisp
Works with: bash
```function count_change {
local -i amount=\$1 coin j
local ways=(1)
shift
for coin; do
for (( j=coin; j <= amount; j++ )); do
let ways[j]=\${ways[j]:-0}+\${ways[j-coin]:-0}
done
done
echo "\${ways[amount]}"
}
count_change 100 25 10 5 1
count_change 100000 100 50 25 10 5 1
```
Works with: ksh version 93
```function count_change {
typeset -i amount=\$1 coin j
typeset ways
set -A ways 1
shift
for coin; do
for (( j=coin; j <= amount; j++ )); do
let ways[j]=\${ways[j]:-0}+\${ways[j-coin]:-0}
done
done
echo "\${ways[amount]}"
}
count_change 100 25 10 5 1
count_change 100000 100 50 25 10 5 1
```
Works with: ksh version 88
```function count_change {
typeset -i amount=\$1 coin j
typeset ways
set -A ways 1
shift
for coin; do
let j=coin
while (( j <= amount )); do
let ways[j]=\${ways[j]:-0}+\${ways[j-coin]:-0}
let j+=1
done
done
echo "\${ways[amount]}"
}
count_change 100 25 10 5 1
# (optional task exceeds a subscript limit in ksh88)
```
And just for fun, here's one that works even with the original V7 shell:
Works with: sh version v7
```if [ \$# -lt 2 ]; then
set \${1-100} 25 10 5 1
fi
amount=\$1
shift
ways_0=1
for coin in "\$@"; do
j=\$coin
while [ \$j -le \$amount ]; do
d=`expr \$j - \$coin`
eval "ways_\$j=\`expr \\${ways_\$j-0} + \\${ways_\$d-0}\`"
j=`expr \$j + 1`
done
done
eval "echo \\$ways_\$amount"
```
Output:
```242
13398445413854501```
## VBA
Translation of: Phix
```Private Function coin_count(coins As Variant, amount As Long) As Variant 'return type will be Decimal
'sequence s = Repeat(0, amount + 1)
Dim s As Variant
ReDim s(amount + 1)
Dim c As Integer
s(1) = CDec(1)
For c = 1 To UBound(coins)
For n = coins(c) To amount
s(n + 1) = CDec(s(n + 1) + s(n - coins(c) + 1))
Next n
Next c
coin_count = s(amount + 1)
End Function
Public Sub main2()
Dim us_commons_coins As Variant
'The next line creates a base 1 array
us_common_coins = [{25, 10, 5, 1}]
Debug.Print coin_count(us_common_coins, 100)
Dim us_coins As Variant
us_coins = [{100,50,25, 10, 5, 1}]
Debug.Print coin_count(us_coins, 100000)
End Sub```
Output:
``` 242
13398445413854501 ```
## VBScript
Translation of: C#
```Function count(coins,m,n)
ReDim table(n+1)
table(0) = 1
i = 0
Do While i < m
j = coins(i)
Do While j <= n
table(j) = table(j) + table(j - coins(i))
j = j + 1
Loop
i = i + 1
Loop
count = table(n)
End Function
'testing
arr = Array(1,5,10,25)
m = UBound(arr) + 1
n = 100
WScript.StdOut.WriteLine count(arr,m,n)```
Output:
```242
```
## Visual Basic
Translation of: VBA
Works with: Visual Basic version 6
```Option Explicit
'----------------------------------------------------------------------
Private Function coin_count(coins As Variant, amount As Long) As Variant
'return type will be Decimal
Dim s() As Variant
Dim n As Long, c As Long
ReDim s(amount + 1)
s(1) = CDec(1)
For c = LBound(coins) To UBound(coins)
For n = coins(c) To amount
s(n + 1) = CDec(s(n + 1) + s(n - coins(c) + 1))
Next n
Next c
coin_count = s(amount + 1)
End Function
'----------------------------------------------------------------------
Sub Main()
Dim us_common_coins As Variant
Dim us_coins As Variant
'The next line creates 0-based array
us_common_coins = Array(25, 10, 5, 1)
Debug.Print coin_count(us_common_coins, 100)
us_coins = Array(100, 50, 25, 10, 5, 1)
Debug.Print coin_count(us_coins, 100000)
End Sub```
Output:
``` 242
13398445413854501```
## V (Vlang)
Translation of: Go
```fn main() {
amount := 100
println("amount: \$amount; ways to make change: \${count_change(amount)}")
}
fn count_change(amount int) i64 {
if amount.str().count('0') > 4 {exit(-1)} // can be too slow
return cc(amount, 4)
}
fn cc(amount int, kinds_of_coins int) i64 {
if amount == 0 {return 1}
else if amount < 0 || kinds_of_coins == 0 {return 0}
return cc(amount, kinds_of_coins-1) +
cc(amount - first_denomination(kinds_of_coins), kinds_of_coins)
}
fn first_denomination(kinds_of_coins int) int {
match kinds_of_coins {
1 {return 1}
2 {return 5}
3 {return 10}
4 {return 25}
else {exit(-2)}
}
return kinds_of_coins
}
```
Output:
```amount, ways to make change: 100 242
```
Alternate:
```fn main() {
amount := 100
coins := [25, 10, 5, 1]
println("amount: \$amount; ways to make change: \${count(coins, amount)}")
}
fn count(coins []int, amount int) int {
mut ways := []int{len: amount + 1}
ways[0] = 1
for coin in coins {
for idx := coin; idx <= amount; idx++ {
ways[idx] += ways[idx - coin]
}
}
return ways[amount]
}
```
Output:
```amount: 100; ways to make change: 242
```
## Wren
Translation of: Kotlin
Library: Wren-big
Library: Wren-fmt
```import "./big" for BigInt
import "./fmt" for Fmt
var countCoins = Fn.new { |c, m, n|
var table = List.filled(n + 1, null)
table[0] = BigInt.one
for (i in 1..n) table[i] = BigInt.zero
for (i in 0...m) {
for (j in c[i]..n) table[j] = table[j] + table[j-c[i]]
}
return table[n]
}
var c = [1, 5, 10, 25, 50, 100]
Fmt.print("Ways to make change for \$\$1 using 4 coins = \$,i", countCoins.call(c, 4, 100))
Fmt.print("Ways to make change for \$\$1,000 using 6 coins = \$,i", countCoins.call(c, 6, 1000 * 100))
```
Output:
```Ways to make change for \$1 using 4 coins = 242
Ways to make change for \$1,000 using 6 coins = 13,398,445,413,854,501
```
## zkl
Translation of: Scheme
```fcn ways_to_make_change(x, coins=T(25,10,5,1)){
if(not coins) return(0);
if(x<0) return(0);
if(x==0) return(1);
ways_to_make_change(x, coins[1,*]) + ways_to_make_change(x - coins[0], coins)
}
ways_to_make_change(100).println();```
Output:
`242`
Blows the stack on the optional part, so try this:
Translation of: Ruby
```fcn make_change2(amount, coins){
n, m := amount, coins.len();
table := (0).pump(n+1,List, (0).pump(m,List().write,1).copy);
foreach i,j in ([1..n],[0..m-1]){
table[i][j] = (if(i<coins[j]) 0 else table[i-coins[j]][j]) +
(if(j<1) 0 else table[i][j-1])
}
table[-1][-1]
}
println(make_change2( 100, T(1,5,10,25)));
make_change2(0d1000_00, T(1,5,10,25,50,100)) : "%,d".fmt(_).println();```
Output:
```242
13,398,445,413,854,501
```
## ZX Spectrum Basic
Translation of: AWK
Test with emulator at full speed for reasonable performance.
```10 LET amount=100
20 GO SUB 1000
30 STOP
1000 LET nPennies=amount
1010 LET nNickles=INT (amount/5)
1020 LET nDimes=INT (amount/10)
1030 LET nQuarters=INT (amount/25)
1040 LET count=0
1050 FOR p=0 TO nPennies
1060 FOR n=0 TO nNickles
1070 FOR d=0 TO nDimes
1080 FOR q=0 TO nQuarters
1090 LET s=p+n*5+d*10+q*25
1100 IF s=100 THEN LET count=count+1
1110 NEXT q
1120 NEXT d
1130 NEXT n
1140 NEXT p
1150 PRINT count
1160 RETURN```
| 35,989
| 4
| 0.797854
|
https://sciencebyjason.com/algebra-essentials.html
| "# Basics of Algebra\n\nThese are my notes and worked problems on Basics of Algebra.\n\nAnkr Store o(...TRUNCATED)
| 35,982
| 4.15625
| 0.971188
|
https://ncertmcq.com/tag/rd-sharma-class-10-maths-solutions/page/3/
| "## RD Sharma Class 10 Solutions Chapter 7 Triangles Ex 7.5\n\nThese Solutions are part of RD Sharm(...TRUNCATED)
| 35,973
| 4.625
| 0.803158
|
http://www.docstoc.com/docs/85491110/Notebook_AlgAB
| "; Notebook_AlgAB\nDocuments\nUser Generated\nResources\nLearning Center\nYour Federal Quarterly Tax(...TRUNCATED)
| 35,956
| 4.71875
| 0.700094
|
http://boingboing.net/2009/11/12/do-you-understand-my.html
| "# Do you understand my first-grade child's homework?\n\nMy six-year-old told me she doesn't underst(...TRUNCATED)
| 35,953
| 4.09375
| 0.949685
|
https://issuu.com/sia612/docs/algebra_and_trigonometry_10th_editi
| "Chapter 2 Graphs\n\n5 − ( −3) = 8 = 8\n\n3.\n\n32 + 4 2 = 25 = 5\n\n4. 112 + 60 2 = 121 + 3600 (...TRUNCATED)
| 35,952
| 4.25
| 0.624887
|
https://jinovak.com/author/jnovak0306/page/4/
| "## Math 31AH: Lecture 26\n\nFor a long time, we have been skirting around the issue of whether or (...TRUNCATED)
| 35,947
| 4.15625
| 0.891867
|
https://www.scribd.com/document/47316913/Glencoe-Word-Problems
| "# NAME ________________________________________ DATE ______________ PERIOD _____\n\nPractice: Word (...TRUNCATED)
| 35,945
| 4
| 0.882903
|
http://www.onlinegrecoaching.com/2018/04/
| "## Coordinate Geometry Parabola\n\nIt is unlikely that you will get a problem on Coordinate geometr(...TRUNCATED)
| 35,935
| 4.625
| 0.868978
|
https://eurekamathanswerkeys.com/tag/eureka-math-grade-2-answer-key/
| "Engage NY Eureka Math 2nd Grade Module 2 End of Module Assessment Answer Key\n\nEureka Math Grade 2(...TRUNCATED)
| 35,925
| 4.8125
| 0.879142
|
End of preview. Expand
in Data Studio
An extraction of https://huggingface.co/datasets/HuggingFaceTB/finemath/viewer/finemath-4plus where:
- only sequences of at most 36,000 tokens are kept;
- only samples that score 4 or more are kept - but calculated differently than in FineMath 4plus. They first round to the nearest integer (so 3.5001 = 4), whereas here I filter directly on the float score where only 4.0+ is actually considered 4plus. This leads to a sharp drop off in number of samples but that is fine for what I need.
Code:
from datasets import load_dataset
ds = load_dataset("HuggingFaceTB/finemath", "finemath-4plus", split="train").select_columns(["url", "text", "token_count", "score", "language_score"]).sort("token_count", reverse=True)
ds = ds.filter(
lambda num_tokens, score: num_tokens <= 36000 and score >= 4.0,
num_proc=36,
input_columns=["token_count", "score"],
)
ds.push_to_hub("BramVanroy/finemath-4plus-seqlen36k")
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