Range consolidation: Difference between revisions
Content deleted Content added
Ada version |
Added Easylang |
||
(51 intermediate revisions by 25 users not shown) | |||
Line 1:
{{task}}
Define a range of numbers
That range can be shown as:
::::::::: '''[b0, b1]'''
:::::::: or equally as:
::::::::: '''[b1, b0]'''
Given two ranges, the act of consolidation between them compares the two ranges:
* If one range covers all of the other then the result is that encompassing range.
* If the ranges touch or intersect then the result is ''one'' new single range covering the overlapping ranges.
* Otherwise the act of consolidation is to return the two non-touching ranges.
Given '''N''' ranges where '''N > 2''' then the result is the same as repeatedly replacing all combinations of two ranges by their consolidation until no further consolidation between range pairs is possible.
If '''N < 2''' then range consolidation has no strict meaning and the input can be returned.
;Example 1:
: Given the two ranges '''[1, 2.5]''' and '''[3, 4.2]''' then
: there is no common region between the ranges and the result is the same as the input.
;Example 2:
: Given the two ranges '''[1, 2.5]''' and '''[1.8, 4.7]''' then
: there is : an overlap '''[2.5, 1.8]''' between the ranges and
: the result is the single range '''[1, 4.7]'''.
: Note that order of bounds in a range is not (yet) stated.
;Example 3:
: Given the two ranges '''[6.1, 7.2]''' and '''[7.2, 8.3]''' then
: they touch at '''7.2''' and
: the result is the single range '''[6.1, 8.3]'''.
;Example 4:
: Given the three ranges '''[1, 2]''' and '''[4, 8]''' and '''[2, 5]'''
: then there is no intersection of the ranges '''[1, 2]''' and '''[4, 8]'''
: but the ranges '''[1, 2]''' and '''[2, 5]''' overlap and
: consolidate to produce the range '''[1, 5]'''.
: This range, in turn, overlaps the other range '''[4, 8]''', and
: so consolidates to the final output of the single range '''[1, 8]'''.
;Task:
Let a normalized range display show the smaller bound to the left; and show the
range with the smaller lower bound to the left of other ranges when showing multiple ranges.
Output the ''normalized'' result of applying consolidation to these five sets of ranges: <big>
[1.1, 2.2]
[6.1, 7.2], [7.2, 8.3]
[4, 3], [2, 1]
[4, 3], [2, 1], [-1, -2], [3.9, 10]
[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6] </big>
Show all output here.
;See also:
* [[Set consolidation]]
* [[Set of real numbers]]
<br><br>
=={{header|11l}}==
{{trans|Python}}
<syntaxhighlight lang="11l">F consolidate(ranges)
F normalize(s)
R sorted(s.filter(bounds -> !bounds.empty).map(bounds -> sorted(bounds)))
V norm = normalize(ranges)
L(&r1) norm
V i = L.index
I !r1.empty
L(j) i + 1 .< norm.len
V& r2 = norm[j]
I !r2.empty & r1.last >= r2[0]
r1 = [r1[0], max(r1.last, r2.last)]
r2.clear()
R norm.filter(rnge -> !rnge.empty)
L(s) [[[1.1, 2.2]],
[[6.1, 7.2], [7.2, 8.3]],
[[4.0, 3.0], [2.0, 1.0]],
[[4.0, 3.0], [2.0, 1.0], [-1.0, -2.0], [3.9, 10.0]],
[[1.0, 3.0], [-6.0, -1.0], [-4.0, -5.0], [8.0, 2.0], [-6.0, -6.0]]]
print(String(s)[1 .< (len)-1]‘ => ’String(consolidate(s))[1 .< (len)-1])</syntaxhighlight>
{{out}}
<pre>
[1.1, 2.2] => [1.1, 2.2]
[6.1, 7.2], [7.2, 8.3] => [6.1, 8.3]
[4, 3], [2, 1] => [1, 2], [3, 4]
[4, 3], [2, 1], [-1, -2], [3.9, 10] => [-2, -1], [1, 2], [3, 10]
[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6] => [-6, -1], [1, 8]
</pre>
=={{header|Action!}}==
{{libheader|Action! Tool Kit}}
{{libheader|Action! Real Math}}
<syntaxhighlight lang="action!">INCLUDE "H6:REALMATH.ACT"
DEFINE PTR="CARD"
DEFINE RANGESIZE="12"
DEFINE LOW_="+0"
DEFINE HIGH_="+6"
TYPE Range=[CARD l1,l2,l3,h1,h2,h3]
PROC Inverse(Range POINTER r)
REAL tmp
RealAssign(r LOW_,tmp)
RealAssign(r HIGH_,r LOW_)
RealAssign(tmp,r HIGH_)
RETURN
PROC Normalize(Range POINTER r)
IF RealLess(r HIGH_,r LOW_) THEN
Inverse(r)
FI
RETURN
INT FUNC Compare(Range Pointer r1,r2)
IF RealLess(r1 LOW_,r2 LOW_) THEN
RETURN (-1)
ELSEIF RealLess(r2 LOW_,r1 LOW_) THEN
RETURN (1)
ELSEIF RealLess(r1 HIGH_,r2 HIGH_) THEN
RETURN (-1)
ELSEIF RealLess(r2 HIGH_,r1 HIGH_) THEN
RETURN (1)
FI
RETURN (0)
PTR FUNC GetItemAddr(PTR data INT index)
RETURN (data+index*RANGESIZE)
PROC Swap(Range POINTER r1,r2)
REAL tmp
RealAssign(r1 LOW_,tmp)
RealAssign(r2 LOW_,r1 LOW_)
RealAssign(tmp, r2 LOW_)
RealAssign(r1 HIGH_,tmp)
RealAssign(r2 HIGH_,r1 HIGH_)
RealAssign(tmp, r2 HIGH_)
RETURN
PROC Sort(PTR data INT count)
INT i,j,minpos
Range POINTER r1,r2
FOR i=0 TO count-2
DO
minpos=i
FOR j=i+1 TO count-1
DO
r1=GetItemAddr(data,minpos)
r2=GetItemAddr(data,j)
IF Compare(r1,r2)>0 THEN
minpos=j
FI
OD
IF minpos#i THEN
r1=GetItemAddr(data,minpos)
r2=GetItemAddr(data,i)
Swap(r1,r2)
FI
OD
RETURN
PROC Consolidate(PTR data INT POINTER count)
INT i,j,newCount
Range POINTER r1,r2
FOR i=0 TO count^-1
DO
r1=GetItemAddr(data,i)
Normalize(r1)
OD
Sort(data,count^)
newCount=0 i=0
WHILE i<count^
DO
j=i+1
WHILE j<count^
DO
r1=GetItemAddr(data,i)
r2=GetItemAddr(data,j)
IF RealLess(r1 HIGH_,r2 LOW_) THEN
EXIT
ELSEIF RealLess(r1 HIGH_,r2 HIGH_) THEN
RealAssign(r2 HIGH_,r1 HIGH_)
FI
j==+1
OD
r1=GetItemAddr(data,i)
r2=GetItemAddr(data,newCount)
RealAssign(r1 LOW_,r2 LOW_)
RealAssign(r1 HIGH_,r2 HIGH_)
newCount==+1
i=j
OD
count^=newCount
RETURN
PROC PrintRanges(PTR data INT count)
INT i
Range POINTER r
FOR i=0 TO count-1
DO
IF i>0 THEN Put(' ) FI
r=GetItemAddr(data,i)
Put('[) PrintR(r LOW_)
Put(',) PrintR(r HIGH_) Put('])
OD
RETURN
PROC Append(PTR data INT POINTER count
CHAR ARRAY sLow,sHigh)
Range POINTER r
r=GetItemAddr(data,count^)
ValR(sLow,r LOW_)
ValR(sHigh,r High_)
count^=count^+1
RETURN
INT FUNC InitData(BYTE case PTR data)
INT count
count=0
IF case=0 THEN
Append(data,@count,"1.1","2.2")
ELSEIF case=1 THEN
Append(data,@count,"6.1","7.2")
Append(data,@count,"7.2","8.3")
ELSEIF case=2 THEN
Append(data,@count,"4","3")
Append(data,@count,"2","1")
ELSEIF case=3 THEN
Append(data,@count,"4","3")
Append(data,@count,"2","1")
Append(data,@count,"-1","-2")
Append(data,@count,"3.9","10")
ELSEIF case=4 THEN
Append(data,@count,"1","3")
Append(data,@count,"-6","-1")
Append(data,@count,"-4","-5")
Append(data,@count,"8","2")
Append(data,@count,"-6","-6")
FI
RETURN (count)
PROC Main()
BYTE ARRAY data(100)
INT count
BYTE i
Put(125) PutE() ;clear the screen
FOR i=0 TO 4
DO
count=InitData(i,data)
PrintRanges(data,count)
Print(" -> ")
Consolidate(data,@count)
PrintRanges(data,count)
PutE() PutE()
OD
RETURN</syntaxhighlight>
{{out}}
[https://gitlab.com/amarok8bit/action-rosetta-code/-/raw/master/images/Range_consolidation.png Screenshot from Atari 8-bit computer]
<pre>
[1.1,2.2] -> [1.1,2.2]
[6.1,7.2] [7.2,8.3] -> [6.1,8.3]
[4,3] [2,1] -> [1,2] [3,4]
[4,3] [2,1] [-1,-2] [3.9,10] -> [-2,-1] [1,2] [3,10]
[1,3] [-6,-1] [-4,-5] [8,2] [-6,-6] -> [-6,-1] [1,8]
</pre>
=={{header|Ada}}==
<
with Ada.Containers.Vectors;
Line 139 ⟶ 377:
Show (Set_4);
Show (Set_5);
end Range_Consolidation;</
{{out}}
Line 148 ⟶ 386:
( 4.0 3.0) ( 2.0 1.0) ( -1.0 -2.0) ( 3.9 10.0) ( -2.0 -1.0) ( 1.0 2.0) ( 3.0 10.0)
( 1.0 3.0) ( -6.0 -1.0) ( -4.0 -5.0) ( 8.0 2.0) ( -6.0 -6.0) ( -6.0 -1.0) ( 1.0 8.0)
</pre>
=={{header|ALGOL 68}}==
<syntaxhighlight lang="algol68">
BEGIN # range consolidation #
MODE RANGE = STRUCT( REAL lb, ub );
# returns a with the bounds swapped if necessary, so lb OF a <= ub OF a #
OP NORMALISE = ( RANGE a )RANGE:
( IF lb OF a < ub OF a THEN lb OF a ELSE ub OF a FI
, IF ub OF a > lb OF a THEN ub OF a ELSE lb OF a FI
) # NORMALISE # ;
# returns a with each element normalised #
OP NORMALISE = ( []RANGE a )[]RANGE:
BEGIN
[ LWB a : UPB a ]RANGE result;
FOR a pos FROM LWB a TO UPB a DO result[ a pos ] := NORMALISE a[ a pos ] OD;
result
END # NORMALISE # ;
OP < = ( RANGE a, b )BOOL: lb OF a < lb OF b;
OP > = ( RANGE a, b )BOOL: lb OF a > lb OF b;
# sorts a into order of each element's lb #
OP SORT = ( []RANGE a )[]RANGE:
BEGIN
# in-place quick sort an array of RANGEs from element lb #
# to element ub #
PROC quicksort = ( REF[]RANGE a, INT lb, ub )REF[]RANGE:
IF ub <= lb
THEN
# empty array or only 1 element #
a
ELSE
# more than one element, so must sort #
INT left := lb;
INT right := ub;
# choosing the middle element of the array as the pivot #
RANGE pivot := a[ left + ( ( right + 1 ) - left ) OVER 2 ];
WHILE
WHILE IF left <= ub THEN a[ left ] < pivot ELSE FALSE FI DO left +:= 1 OD;
WHILE IF right >= lb THEN a[ right ] > pivot ELSE FALSE FI DO right -:= 1 OD;
left <= right
DO
RANGE t := a[ left ];
a[ left ] := a[ right ];
a[ right ] := t;
left +:= 1;
right -:= 1
OD;
quicksort( a, lb, right );
quicksort( a, left, ub );
a
FI # quicksort # ;
quicksort( HEAP[ LWB a : UPB a ]RANGE := a, LWB a, UPB a )
END # SORT # ;
# returns the consolidation of the ranges in a in #
OP CONSOLIDATE = ( []RANGE a in )[]RANGE:
IF UPB a in <= LWB a in
THEN a in # 0 or 1 range #
ELSE # multiple ranges #
[]RANGE a = SORT NORMALISE a in;
[ 1 : 2 * ( ( UPB a - LWB a ) + 1 ) ]RANGE result;
INT r max := 1;
result[ r max ] := a[ LWB a ];
FOR a pos FROM LWB a + 1 TO UPB a DO
RANGE m = result[ r max ], n = a[ a pos ];
IF ub OF m < lb OF n THEN
result[ r max +:= 1 ] := n # distinct ranges #
ELSE
result[ r max ] # overlapping ranges #
:= ( IF lb OF m < lb OF n THEN lb OF m ELSE lb OF n FI
, IF ub OF m > ub OF n THEN ub OF m ELSE ub OF n FI
)
FI
OD;
result[ : r max ]
FI # CONSOLIDATE # ;
OP FMT = ( REAL v )STRING: # prints v with at most 3 decimal places #
BEGIN
STRING result := fixed( ABS v, 0, 3 );
IF result[ LWB result ] = "." THEN "0" +=: result FI;
WHILE result[ UPB result ] = "0" DO result := result[ : UPB result - 1 ] OD;
IF result[ UPB result ] = "." THEN result := result[ : UPB result - 1 ] FI;
IF v < 0 THEN "-" ELSE "" FI + result
END # FMT # ;
OP TOSTRING = ( RANGE a )STRING: "[ " + FMT lb OF a + ", " + FMT ub OF a + " ]";
OP TOSTRING = ( []RANGE a )STRING:
BEGIN
STRING result := "[";
STRING prefix := " ";
FOR r pos FROM LWB a TO UPB a DO
result +:= prefix + TOSTRING a[ r pos ];
prefix := ", "
OD;
result + " ]"
END # TOSTRING # ;
PRIO PAD = 8; # right pads s with blanks to w characters #
OP PAD = ( STRING s, INT w )STRING:
IF INT len = ( UPB s - LWB s ) + 1;
len >= w
THEN s
ELSE s + ( ( w - len ) * " " )
FI # PAD # ;
# task test cases #
PROC test = ( []RANGE a )VOID:
BEGIN print( ( ( TOSTRING a PAD 60 ), " -> ", TOSTRING CONSOLIDATE a, newline ) ) END;
test( []RANGE( RANGE( 1.1, 2.2 ) ) );
test( ( ( 6.1, 7.2 ), ( 7.2, 8.3 ) ) );
test( ( ( 4, 3 ), ( 2, 1 ) ) );
test( ( ( 4, 3 ), ( 2, 1 ), ( -1, -2 ), ( 3.9, 10 ) ) );
test( ( ( 1, 3 ), ( -6, -1 ), ( -4, -5 ), ( 8, 2 ), ( -6, -6 ) ) )
END
</syntaxhighlight>
{{out}}
<pre>
[ [ 1.1, 2.2 ] ] -> [ [ 1.1, 2.2 ] ]
[ [ 6.1, 7.2 ], [ 7.2, 8.3 ] ] -> [ [ 6.1, 8.3 ] ]
[ [ 4, 3 ], [ 2, 1 ] ] -> [ [ 1, 2 ], [ 3, 4 ] ]
[ [ 4, 3 ], [ 2, 1 ], [ -1, -2 ], [ 3.9, 10 ] ] -> [ [ -2, -1 ], [ 1, 2 ], [ 3, 10 ] ]
[ [ 1, 3 ], [ -6, -1 ], [ -4, -5 ], [ 8, 2 ], [ -6, -6 ] ] -> [ [ -6, -1 ], [ 1, 8 ] ]
</pre>
=={{header|AutoHotkey}}==
<syntaxhighlight lang="autohotkey">RangeConsolidation(arr){
arr1 := [], arr2 := [], result := []
for i, obj in arr
arr1[i,1] := min(arr[i]*), arr1[i,2] := max(arr[i]*) ; sort each range individually
for i, obj in arr1
if (obj.2 > arr2[obj.1])
arr2[obj.1] := obj.2 ; creates helper array sorted by range
i := 1
for start, stop in arr2
if (i = 1) || (start > result[i-1, 2]) ; first or non overlapping range
result[i, 1] := start, result[i, 2] := stop, i++
else ; overlapping range
result[i-1, 2] := stop > result[i-1, 2] ? stop : result[i-1, 2]
return result
}</syntaxhighlight>
Examples:<syntaxhighlight lang="autohotkey">test1 := [[1.1, 2.2]]
test2 := [[6.1, 7.2], [7.2, 8.3]]
test3 := [[4, 3], [2, 1]]
test4 := [[4, 3], [2, 1], [-1, -2], [3.9, 10]]
test5 := [[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6]]
result := ""
loop, 5
{
output := ""
for i, obj in RangeConsolidation(test%A_Index%)
output .= "[" format("{:g}", obj.1) ", " format("{:g}", obj.2) "], "
result .= Trim(output, ", ") "`n"
}
MsgBox % result
return</syntaxhighlight>
{{out}}
<pre>[1.1, 2.2]
[6.1, 8.3]
[1, 2], [3, 4]
[-2, -1], [1, 2], [3, 10]
[-6, -1], [1, 8]</pre>
=={{header|C}}==
<syntaxhighlight lang="c">#include <stdio.h>
#include <stdlib.h>
typedef struct range_tag {
double low;
double high;
} range_t;
void normalize_range(range_t* range) {
if (range->high < range->low) {
double tmp = range->low;
range->low = range->high;
range->high = tmp;
}
}
int range_compare(const void* p1, const void* p2) {
const range_t* r1 = p1;
const range_t* r2 = p2;
if (r1->low < r2->low)
return -1;
if (r1->low > r2->low)
return 1;
if (r1->high < r2->high)
return -1;
if (r1->high > r2->high)
return 1;
return 0;
}
void normalize_ranges(range_t* ranges, size_t count) {
for (size_t i = 0; i < count; ++i)
normalize_range(&ranges[i]);
qsort(ranges, count, sizeof(range_t), range_compare);
}
// Consolidates an array of ranges in-place. Returns the
// number of ranges after consolidation.
size_t consolidate_ranges(range_t* ranges, size_t count) {
normalize_ranges(ranges, count);
size_t out_index = 0;
for (size_t i = 0; i < count; ) {
size_t j = i;
while (++j < count && ranges[j].low <= ranges[i].high) {
if (ranges[i].high < ranges[j].high)
ranges[i].high = ranges[j].high;
}
ranges[out_index++] = ranges[i];
i = j;
}
return out_index;
}
void print_range(const range_t* range) {
printf("[%g, %g]", range->low, range->high);
}
void print_ranges(const range_t* ranges, size_t count) {
if (count == 0)
return;
print_range(&ranges[0]);
for (size_t i = 1; i < count; ++i) {
printf(", ");
print_range(&ranges[i]);
}
}
void test_consolidate_ranges(range_t* ranges, size_t count) {
print_ranges(ranges, count);
printf(" -> ");
count = consolidate_ranges(ranges, count);
print_ranges(ranges, count);
printf("\n");
}
#define LENGTHOF(a) sizeof(a)/sizeof(a[0])
int main() {
range_t test1[] = { {1.1, 2.2} };
range_t test2[] = { {6.1, 7.2}, {7.2, 8.3} };
range_t test3[] = { {4, 3}, {2, 1} };
range_t test4[] = { {4, 3}, {2, 1}, {-1, -2}, {3.9, 10} };
range_t test5[] = { {1, 3}, {-6, -1}, {-4, -5}, {8, 2}, {-6, -6} };
test_consolidate_ranges(test1, LENGTHOF(test1));
test_consolidate_ranges(test2, LENGTHOF(test2));
test_consolidate_ranges(test3, LENGTHOF(test3));
test_consolidate_ranges(test4, LENGTHOF(test4));
test_consolidate_ranges(test5, LENGTHOF(test5));
return 0;
}</syntaxhighlight>
{{out}}
<pre>
[1.1, 2.2] -> [1.1, 2.2]
[6.1, 7.2], [7.2, 8.3] -> [6.1, 8.3]
[4, 3], [2, 1] -> [1, 2], [3, 4]
[4, 3], [2, 1], [-1, -2], [3.9, 10] -> [-2, -1], [1, 2], [3, 10]
[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6] -> [-6, -1], [1, 8]
</pre>
=={{header|C sharp}}==
{{works with|C sharp|7}}
<
using System.Linq;
using System;
Line 190 ⟶ 698:
private static (double s, double e) Normalize((double s, double e) range) =>
(Min(range.s, range.e), Max(range.s, range.e));
}</
{{out}}
<pre>
Line 199 ⟶ 707:
(-6, -1), (1, 8)</pre>
=={{header|
<syntaxhighlight lang="cpp">#include <algorithm>
#include <iostream>
#include <utility>
#include <vector>
// A range is represented as std::pair<from, to>
template <typename iterator>
void normalize_ranges(iterator begin, iterator end) {
for (iterator i = begin; i != end; ++i) {
if (i->second < i->first)
std::swap(i->first, i->second);
}
std::sort(begin, end);
}
// Merges a range of ranges in-place. Returns an iterator to the
// end of the resulting range, similarly to std::remove.
template <typename iterator>
iterator merge_ranges(iterator begin, iterator end) {
iterator out =
for (iterator i = begin; i != end; ) {
iterator j = i;
while (++j != end && j->first <= i->second)
i->second = std::max(i->second, j->second);
*out++ = *i;
i = j;
}
return out;
}
template <typename iterator>
iterator consolidate_ranges(iterator begin, iterator end) {
normalize_ranges(begin, end);
return merge_ranges(begin, end);
}
template <typename pair>
void print_range(std::ostream& out, const pair& range) {
out << '[' << range.first << ", " << range.second << ']';
}
template <typename iterator>
void print_ranges(std::ostream& out, iterator begin, iterator end) {
if (begin != end) {
print_range(out, *begin++);
for (; begin != end; ++begin) {
out << ", ";
print_range(out, *begin);
}
}
}
int main() {
std::vector<std::pair<double, double>> test_cases[] = {
{ {1, 3}, {-6, -1}, {-4, -5}, {8, 2}, {-6, -6} }
};
for (auto&& ranges : test_cases) {
print_ranges(std::cout, std::begin(ranges), std::end(ranges));
std::cout << " -> ";
auto i = consolidate_ranges(std::begin(ranges), std::end(ranges));
print_ranges(std::cout, std::begin(ranges), i);
std::cout << '\n';
}
return 0;
}</syntaxhighlight>
{{out}}
<pre>
[1.1, 2.2] -> [1.1, 2.2]
[6.1, 7.2], [7.2, 8.3] -> [6.1, 8.3]
[4, 3], [2, 1] -> [1, 2], [3, 4]
[4, 3], [2, 1], [-1, -2], [3.9, 10] -> [-2, -1], [1, 2], [3, 10]
[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6] -> [-6, -1], [1, 8]
</pre>
=={{header|Clojure}}==
<syntaxhighlight lang="clojure">(defn normalize [r]
(let [[n1 n2] r]
[(min n1 n2) (max n1 n2)]))
(defn touch? [r1 r2]
(let [[lo1 hi1] (normalize r1)
[lo2 hi2] (normalize r2)]
(or (<= lo2 lo1 hi2)
(<= lo2 hi1 hi2))))
(defn consolidate-touching-ranges [rs]
(let [lows (map #(apply min %) rs)
highs (map #(apply max %) rs)]
[ (apply min lows) (apply max highs) ]))
(defn consolidate-ranges [rs]
(loop [res []
rs rs]
(if (empty? rs)
res
(let [r0 (first rs)
touching (filter #(touch? r0 %) rs)
remove-used (fn [rs used]
(remove #(contains? (set used) %) rs))]
(recur (conj res (consolidate-touching-ranges touching))
(remove-used (rest rs) touching))))))</syntaxhighlight>
{{out}}
<pre>
(def test-data [ [[1.1 2.2]]
[[6.1 7.2] [7.2 8.3]]
[[4 3] [2 1]]
[[4 3] [2 1] [-1 -2] [3.9 10]]
[[1 3] [-6 -1] [-4 -5] [8 2] [-6 -6]] ])
(map consolidate-ranges test-data)
;; ==> ([[1.1 2.2]]
[[6.1 8.3]]
[[3 4] [1 2]]
[[3 10] [1 2] [-2 -1]]
[[1 8] [-6 -1] [-5 -4]]))
</pre>
=={{header|Dyalect}}==
{{trans|C#}}
<syntaxhighlight lang="dyalect">type Pt(s, e) with Lookup
func Pt.Min() => min(this.s, this.e)
func Pt.Max() => max(this.s, this.e)
func Pt.ToString() => "(\(this.s), \(this.e))"
let rng = [
[ Pt(1.1, 2.2) ],
[ Pt(6.1, 7.2), Pt(7.2, 8.3) ],
[ Pt(4.0, 3.0), Pt(2, 1) ],
[ Pt(4.0, 3.0), Pt(2, 1), Pt(-1, 2), Pt(3.9, 10) ],
[ Pt(1.0, 3.0), Pt(-6, -1), Pt(-4, -5), Pt(8, 2), Pt(-6, -6) ]
]
func overlap(left, right) =>
left.Max() > right.Max() ? right.Max() >= left.Min()
: left.Max() >= right.Min()
func consolidate(left, right) => Pt(min(left.Min(), right.Min()), max(left.Max(), right.Max()))
func normalize(range) => Pt(range.Min(), range.Max())
for list in rng {
var z = list.Length() - 1
while z >= 1 {
for y in (z - 1)^-1..0 when overlap(list[z], list[y]) {
}
z -= 1
}
for i in list.Indices() {
list[i] = normalize(list[i])
}
list.Sort((x,y) => x.s - y.s)
print(list)
}</syntaxhighlight>
{{out}}
<pre>[(
[(
[(
[(
[(
=={{header|EasyLang}}==
<syntaxhighlight lang=text>
proc sort . d[][] .
n = len d[][]
for i = 1 to n - 1
for j = i + 1 to n
if d[j][1] < d[i][1]
swap d[j][] d[i][]
.
.
.
.
func[][] consolidate a[][] .
for i to len a[][]
if a[i][1] > a[i][2]
swap a[i][1] a[i][2]
.
.
sort a[][]
r[][] &= a[1][]
b = a[1][2]
for i = 2 to len a[][]
if a[i][1] > b
r[$][2] = b
r[][] &= a[i][]
b = a[i][2]
else
b = higher b a[i][2]
.
.
r[$][2] = b
return r[][]
.
print consolidate [ [ 1.1 2.2 ] ]
print consolidate [ [ 6.1 7.2 ] [ 7.2 8.3 ] ]
print consolidate [ [ 4 3 ] [ 2 1 ] ]
print consolidate [ [ 4 3 ] [ 2 1 ] [ -1 -2 ] [ 3.9 10 ] ]
print consolidate [ [ 1 3 ] [ -6 -1 ] [ -4 -5 ] [ 8 2 ] [ -6 -6 ] ]
</syntaxhighlight>
{{out}}
<pre>
[
[ 1.10 2.20 ]
]
[
[ 6.10 8.30 ]
]
[
[ 1 2 ]
[ 3 4 ]
]
[
[ -2 -1 ]
[ 1 2 ]
[ 3 10 ]
]
[
[ -6 -1 ]
[ 1 8 ]
]
</pre>
=={{header|Factor}}==
{{works with|Factor|0.99 2021-06-02}}
<syntaxhighlight lang="factor">USING: arrays combinators formatting kernel math.combinatorics
math.order math.statistics sequences sets sorting ;
: overlaps? ( pair pair -- ? )
2dup swap [ [ first2 between? ] curry any? ] 2bi@ or ;
: merge ( seq -- newseq ) concat minmax 2array 1array ;
: merge1 ( seq -- newseq )
dup 2 [ first2 overlaps? ] find-combination
[ [ without ] keep merge append ] when* ;
: normalize ( seq -- newseq ) [ natural-sort ] map ;
: consolidate ( seq -- newseq )
normalize [ merge1 ] to-fixed-point natural-sort ;
{
{ { 1.1 2.2 } }
{ { 6.1 7.2 } { 7.2 8.3 } }
{ { 4 3 } { 2 1 } }
{ { 4 3 } { 2 1 } { -1 -2 } { 3.9 10 } }
{ { 1 3 } { -6 -1 } { -4 -5 } { 8 2 } { -6 -6 } }
} [ dup consolidate "%49u => %u\n" printf ] each</syntaxhighlight>
{{out}}
<pre>
{ { 1.1 2.2 } } => { { 1.1 2.2 } }
{ { 6.1 7.2 } { 7.2 8.300000000000001 } } => { { 6.1 8.300000000000001 } }
{ { 4 3 } { 2 1 } } => { { 1 2 } { 3 4 } }
{ { 4 3 } { 2 1 } { -1 -2 } { 3.9 10 } } => { { -2 -1 } { 1 2 } { 3 10 } }
{ { 1 3 } { -6 -1 } { -4 -5 } { 8 2 } { -6 -6 } } => { { -6 -1 } { 1 8 } }
</pre>
=={{header|FreeBASIC}}==
{{trans|Yabasic}}
<syntaxhighlight lang="freebasic">
Dim Shared As Integer i
Dim Shared As Single items, temp = 10^30
Sub ordenar(tabla() As Single)
Dim As Integer t1, t2
Dim As Boolean s
Do
s = True
For i = 1 To Ubound(tabla)-1
If tabla(i, 1) > tabla(i+1, 1) Then
t1 = tabla(i, 1) : t2 = tabla(i, 2)
tabla(i, 1) = tabla(i + 1, 1) : tabla(i, 2) = tabla(i + 1, 2)
tabla(i + 1, 1) = t1 : tabla(i + 1, 2) = t2
s = False
End If
Next i
Loop Until(s)
End Sub
Sub normalizar(tabla() As Single)
Dim As Integer t
For i = 1 To Ubound(tabla)
If tabla(i, 1) > tabla(i, 2) Then
t = tabla(i, 1)
tabla(i, 1) = tabla(i, 2)
tabla(i, 2) = t
End If
Next i
ordenar(tabla())
End Sub
Sub consolidar(tabla() As Single)
normalizar(tabla())
For i = 1 To Ubound(tabla)-1
If tabla(i + 1, 1) <= tabla(i, 2) Then
tabla(i + 1, 1) = tabla(i, 1)
If tabla(i + 1, 2) <= tabla(i, 2) Then
tabla(i + 1, 2) = tabla(i, 2)
End If
tabla(i, 1) = temp : tabla(i, 2) = temp
End If
Next i
End Sub
Data 1, 1.1, 2.2
Data 2, 6.1, 7.2, 7.2, 8.3
Data 2, 4, 3, 2, 1
Data 4, 4, 3, 2, 1, -1, -2, 3.9, 10
Data 5, 1,3, -6,-1, -4,-5, 8,2, -6,-6
For j As Byte = 1 To 5
Read items
Dim As Single tabla(items, 2)
For i = 1 To items
Read tabla(i, 1), tabla(i, 2)
Next i
consolidar(tabla())
For i = 1 To items
If tabla(i, 1) <> temp Then Print "[";tabla(i, 1); ", "; tabla(i, 2); "] ";
Next i
Print
Next j
Sleep
</syntaxhighlight>
=={{header|Go}}==
<
import (
Line 344 ⟶ 1,135:
fmt.Println(s[1 : len(s)-1])
}
}</
{{out}}
Line 356 ⟶ 1,147:
=={{header|Haskell}}==
<
import Data.Ord (comparing)
------------------- RANGE CONSOLIDATION ------------------
consolidated :: [(Float, Float)] -> [(Float, Float)]
consolidated
where
go
| y
| a
-
tests :: [[(Float, Float)]]
tests =
[ [],
]
Line 386 ⟶ 1,179:
main =
putStrLn $
tabulated
"Range consolidations:"
showPairs
showPairs
consolidated
tests
-------------------- DISPLAY FORMATTING ------------------
tabulated ::
String ->
(b -> String) ->
(a -> b) ->
[a] ->
String
tabulated s xShow fxShow f xs =
let w =
maximumBy
(comparing length)
(xShow <$> xs)
rjust n c s = drop (length s) (replicate n c <> s)
in unlines $
s :
fmap
( ((<>) . rjust w ' ' . xShow)
<*> ((" -> " <>) . fxShow . f)
)
xs
showPairs :: [(Float, Float)] -> String
showPairs xs
| null xs = "[]"
| otherwise =
'[' :
intercalate
", "
(showPair <$> xs)
<> "]"
showPair :: (Float, Float) -> String
showPair (a, b) =
'(' :
showNum a
<> ", "
<> showNum b
<> ")"
showNum :: Float -> String
showNum n
| 0 == (n - fromIntegral (round n)) = show (round n)
| otherwise = show n</
{{Out}}
<pre>Range consolidations:
Line 421 ⟶ 1,243:
=={{header|J}}==
'''Solution:'''
<
normalise=: ([: /:~ /:~"1)@ensure2D NB. normalises list of ranges
merge=: ,:`(<.&{. , >.&{:)@.(>:/&{: |.) NB. merge ranges x and y
consolidate=: (}.@] ,~ (merge {.)) ensure2D</
'''Required Examples:'''
<
1.1 2.2
6.1 7.2 ,: 7.2 8.3
Line 439 ⟶ 1,261:
| | |3 4| 1 2| 1 8|
| | | | 3 10| |
+-------+-------+---+-----+-----+</
=={{header|Java}}==
<syntaxhighlight lang="java">
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
public class RangeConsolidation {
public static void main(String[] args) {
displayRanges( Arrays.asList(new Range(1.1, 2.2)));
displayRanges( Arrays.asList(new Range(6.1, 7.2), new Range(7.2, 8.3)));
displayRanges( Arrays.asList(new Range(4, 3), new Range(2, 1)));
displayRanges( Arrays.asList(new Range(4, 3), new Range(2, 1), new Range(-1, -2), new Range(3.9, 10)));
displayRanges( Arrays.asList(new Range(1, 3), new Range(-6, -1), new Range(-4, -5), new Range(8, 2), new Range(-6, -6)));
displayRanges( Arrays.asList(new Range(1, 1), new Range(1, 1)));
displayRanges( Arrays.asList(new Range(1, 1), new Range(1, 2)));
displayRanges( Arrays.asList(new Range(1, 2), new Range(3, 4), new Range(1.5, 3.5), new Range(1.2, 2.5)));
}
private static final void displayRanges(List<Range> ranges) {
System.out.printf("ranges = %-70s, colsolidated = %s%n", ranges, Range.consolidate(ranges));
}
private static final class RangeSorter implements Comparator<Range> {
@Override
public int compare(Range o1, Range o2) {
return (int) (o1.left - o2.left);
}
}
private static class Range {
double left;
double right;
public Range(double left, double right) {
if ( left <= right ) {
this.left = left;
this.right = right;
}
else {
this.left = right;
this.right = left;
}
}
public Range consolidate(Range range) {
// no overlap
if ( this.right < range.left ) {
return null;
}
// no overlap
if ( range.right < this.left ) {
return null;
}
// contained
if ( this.left <= range.left && this.right >= range.right ) {
return this;
}
// contained
if ( range.left <= this.left && range.right >= this.right ) {
return range;
}
// overlap
if ( this.left <= range.left && this.right <= range.right ) {
return new Range(this.left, range.right);
}
// overlap
if ( this.left >= range.left && this.right >= range.right ) {
return new Range(range.left, this.right);
}
throw new RuntimeException("ERROR: Logic invalid.");
}
@Override
public String toString() {
return "[" + left + ", " + right + "]";
}
private static List<Range> consolidate(List<Range> ranges) {
List<Range> consolidated = new ArrayList<>();
Collections.sort(ranges, new RangeSorter());
for ( Range inRange : ranges ) {
Range r = null;
Range conRange = null;
for ( Range conRangeLoop : consolidated ) {
r = inRange.consolidate(conRangeLoop);
if (r != null ) {
conRange = conRangeLoop;
break;
}
}
if ( r == null ) {
consolidated.add(inRange);
}
else {
consolidated.remove(conRange);
consolidated.add(r);
}
}
Collections.sort(consolidated, new RangeSorter());
return consolidated;
}
}
}
</syntaxhighlight>
{{out}}
Required and other examples.
<pre>
ranges = [[1.1, 2.2]] , consolidated = [[1.1, 2.2]]
ranges = [[6.1, 7.2], [7.2, 8.3]] , consolidated = [[6.1, 8.3]]
ranges = [[1.0, 2.0], [3.0, 4.0]] , consolidated = [[1.0, 2.0], [3.0, 4.0]]
ranges = [[-2.0, -1.0], [1.0, 2.0], [3.0, 4.0], [3.9, 10.0]] , consolidated = [[-2.0, -1.0], [1.0, 2.0], [3.0, 10.0]]
ranges = [[-6.0, -1.0], [-6.0, -6.0], [-5.0, -4.0], [1.0, 3.0], [2.0, 8.0]] , consolidated = [[-6.0, -1.0], [1.0, 8.0]]
ranges = [[1.0, 1.0], [1.0, 1.0]] , consolidated = [[1.0, 1.0]]
ranges = [[1.0, 1.0], [1.0, 2.0]] , consolidated = [[1.0, 2.0]]
ranges = [[1.0, 2.0], [1.5, 3.5], [1.2, 2.5], [3.0, 4.0]] , consolidated = [[1.0, 4.0]]
</pre>
=={{header|JavaScript}}==
{{Trans|Haskell}}
{{Trans|Python}}
<
'use strict';
Line 620 ⟶ 1,568:
// MAIN ---
return main();
})();</
{{Out}}
<pre>Range consolidations:
Line 628 ⟶ 1,576:
[[4,3],[2,1],[-1,-2],[3.9,10]] -> [[-2,-1],[1,2],[3,10]]
[[1,3],[-6,-1],[-4,-5],[8,2],[-6,-6]] -> [[-6,-1],[1,8]]</pre>
=={{header|jq}}==
{{trans|Julia}}
{{works with|jq}}
'''Works with gojq, the Go implementation of jq'''
<syntaxhighlight lang="jq">def normalize: map(sort) | sort;
def consolidate:
normalize
| length as $length
| reduce range(0; $length) as $i (.;
.[$i] as $r1
| if $r1 != []
then reduce range($i+1; $length) as $j (.;
.[$j] as $r2
| if $r2 != [] and ($r1[-1] >= $r2[0]) # intersect?
then .[$i] = [$r1[0], ([$r1[-1], $r2[-1]]|max)]
| .[$j] = []
else .
end )
else .
end )
| map(select(. != [])) ;
def testranges:
[[1.1, 2.2]],
[[6.1, 7.2], [7.2, 8.3]],
[[4, 3], [2, 1]],
[[4, 3], [2, 1], [-1, -2], [3.9, 10]],
[[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6]]
| "\(.) => \(consolidate)"
;
testranges</syntaxhighlight>
{{out}}
<pre>
[[1.1,2.2]] => [[1.1,2.2]]
[[6.1,7.2],[7.2,8.3]] => [[6.1,8.3]]
[[4,3],[2,1]] => [[1,2],[3,4]]
[[4,3],[2,1],[-1,-2],[3.9,10]] => [[-2,-1],[1,2],[3,10]]
[[1,3],[-6,-1],[-4,-5],[8,2],[-6,-6]] => [[-6,-1],[-5,-4],[1,8]]
</pre>
=={{header|Julia}}==
Line 635 ⟶ 1,626:
of the Python code is done, rather than using a native Julia Range.
{{trans|Python}}
<
function consolidate(ranges)
Line 661 ⟶ 1,652:
testranges()
</
<pre>
Array{Float64,1}[[1.1, 2.2]] => Array{Float64,1}[[1.1, 2.2]]
Line 669 ⟶ 1,660:
Array{Float64,1}[[1.0, 3.0], [-6.0, -1.0], [-4.0, -5.0], [8.0, 2.0], [-6.0, -6.0]] => Array{Float64,1}[[-6.0, -1.0], [1.0, 8.0]]
</pre>
=={{header|Kotlin}}==
<syntaxhighlight lang="kotlin">fun <T> consolidate(ranges: Iterable<ClosedRange<T>>): List<ClosedRange<T>> where T : Comparable<T>
{
return ranges
.sortedWith(compareBy({ it.start }, { it.endInclusive }))
.asReversed()
.fold(mutableListOf<ClosedRange<T>>()) {
consolidatedRanges, range ->
if (consolidatedRanges.isEmpty())
{
consolidatedRanges.add(range)
}
// Keep in mind the reverse-sorting applied above:
// If the end of the current-range is higher, than it must start at a lower value,
else if (range.endInclusive >= consolidatedRanges[0].endInclusive)
{
consolidatedRanges[0] = range
}
else if (range.endInclusive >= consolidatedRanges[0].start)
{
consolidatedRanges[0] = range.start .. consolidatedRanges[0].endInclusive
}
else
{
consolidatedRanges.add(0, range)
}
return@fold consolidatedRanges
}
.toList()
}
// What a bummer! Kotlin's range syntax (a..b) doesn't meet the task requirements when b < b,
// and on the other hand, the syntax for constructing lists, arrays and pairs isn't close enough
// to the range notation. Instead then, here's a *very* naive parser. Don't take it seriously.
val rangeRegex = Regex("""\[(.+),(.+)\]""")
fun parseDoubleRange(rangeStr: String): ClosedFloatingPointRange<Double> {
val parts = rangeRegex
.matchEntire(rangeStr)
?.groupValues
?.drop(1)
?.map { it.toDouble() }
?.sorted()
if (parts == null) throw IllegalArgumentException("Unable to parse range $rangeStr")
return parts[0] .. parts[1]
}
fun serializeRange(range: ClosedRange<*>) = "[${range.start}, ${range.endInclusive}]"
// See above. In practice you'd probably use consolidate directly
fun consolidateDoubleRanges(rangeStrings: Iterable<String>): List<String>
{
return consolidate(rangeStrings.asSequence().map(::parseDoubleRange).toList()).map(::serializeRange)
}
fun main() {
val inputRanges = listOf(
listOf("[1.1, 2.2]"),
listOf("[6.1, 7.2]", "[7.2, 8.3]"),
listOf("[4, 3]", "[2, 1]"),
listOf("[4, 3]", "[2, 1]", "[-1, -2]", "[3.9, 10]"),
listOf("[1, 3]", "[-6, -1]", "[-4, -5]", "[8, 2]", "[-6, -6]")
)
inputRanges.associateBy(Any::toString, ::consolidateDoubleRanges).forEach({ println("${it.key} => ${it.value}") })
}</syntaxhighlight>
{{Out}}
<pre>
[[1.1, 2.2]] => [[1.1, 2.2]]
[[6.1, 7.2], [7.2, 8.3]] => [[6.1, 8.3]]
[[4, 3], [2, 1]] => [[1.0, 2.0], [3.0, 4.0]]
[[4, 3], [2, 1], [-1, -2], [3.9, 10]] => [[-2.0, -1.0], [1.0, 2.0], [3.0, 10.0]]
[[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6]] => [[-6.0, -1.0], [1.0, 8.0]]
</pre>
=={{header|Mathematica}}/{{header|Wolfram Language}}==
Using the Wolfram Language's built-in Interval operations:
<syntaxhighlight lang="mathematica">data={{{1.1,2.2}},
{{6.1,7.2},{7.2,8.3}},
{{4,3},{2,1}},
{{4,3},{2,1},{-1,-2},{3.9,10}},
{{1,3},{-6,-1},{-4,-5},{8,2},{-6,-6}}};
Column[IntervalUnion@@@Map[Interval,data,{2}]]</syntaxhighlight>
{{out}}
<pre>Interval[{1.1,2.2}]
Interval[{6.1,8.3}]
Interval[{1,2},{3,4}]
Interval[{-2,-1},{1,2},{3,10}]
Interval[{-6,-1},{1,8}]</pre>
=={{header|newLISP}}==
<syntaxhighlight lang="newlisp">
(define (norm range) (sort range))
(define (overlap? a b) (>= (a 1) (b 0)))
(define (combine)
(list ($args 0 0) (max ($args 1 1) ($args 0 1))))
(define (foo ranges)
(set 'ranges (map norm ranges))
(set 'ranges (sort ranges))
(let (accum '() item)
(dolist (r ranges)
(set 'item (cond ((empty? accum) r)
((overlap? (accum 0) r)
(combine (pop accum) r))
(true r)))
(push item accum))
(reverse accum)))
(foo '((1.1 2.2)))
((1.1 2.2))
(foo '((6.1 7.2) (7.2 8.3)))
((6.1 8.300000000000001))
(foo '((4 3) (2 1)))
((1 2) (3 4))
(foo '((4 3) (2 1) (-1 -2) (3.9 10)))
((-2 -1) (1 2) (3 10))
(foo '((1 3) (-6 -1) (-4 -5) (8 2) (-6 -6)))
((-6 -1) (1 8))
</syntaxhighlight>
=={{header|Nim}}==
<syntaxhighlight lang="nim">import algorithm, strutils
# Definition of a range of values of type T.
type Range[T] = array[2, T]
proc `<`(a, b: Range): bool {.inline.} =
## Check if range "a" is less than range "b". Needed for sorting.
if a[0] == b[0]:
a[1] < b[1]
else:
a[0] < b[0]
proc consolidate[T](rangeList: varargs[Range[T]]): seq[Range[T]] =
## Consolidate a list of ranges of type T.
# Build a sorted list of normalized ranges.
var list: seq[Range[T]]
for item in rangeList:
list.add if item[0] <= item[1]: item else: [item[1], item[0]]
list.sort()
# Build the consolidated list starting from "smallest" range.
result.add list[0]
for i in 1..list.high:
let rangeMin = result[^1]
let rangeMax = list[i]
if rangeMax[0] <= rangeMin[1]:
result[^1] = [rangeMin[0], max(rangeMin[1], rangeMax[1])]
else:
result.add rangeMax
proc `$`[T](r: Range[T]): string {.inline.} =
# Return the string representation of a range.
when T is SomeFloat:
"[$1, $2]".format(r[0].formatFloat(ffDecimal, 1), r[1].formatFloat(ffDecimal, 1))
else:
"[$1, $2]".format(r[0], r[1])
proc `$`[T](s: seq[Range[T]]): string {.inline.} =
## Return the string representation of a sequence of ranges.
s.join(", ")
when isMainModule:
proc test[T](rangeList: varargs[Range[T]]) =
echo ($(@rangeList)).alignLeft(52), "→ ", consolidate(rangeList)
test([1.1, 2.2])
test([6.1, 7.2], [7.2, 8.3])
test([4, 3], [2, 1])
test([4.0, 3.0], [2.0, 1.0], [-1.0, -2.0], [3.9, 10.0])
test([1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6])</syntaxhighlight>
{{out}}
<pre>[1.1, 2.2] → [1.1, 2.2]
[6.1, 7.2], [7.2, 8.3] → [6.1, 8.3]
[4, 3], [2, 1] → [1, 2], [3, 4]
[4.0, 3.0], [2.0, 1.0], [-1.0, -2.0], [3.9, 10.0] → [-2.0, -1.0], [1.0, 2.0], [3.0, 10.0]
[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6] → [-6, -1], [1, 8]</pre>
=={{header|Perl}}==
Line 674 ⟶ 1,861:
Note: the output is shown in the standard [https://perldoc.perl.org/perlop.html#Range-Operators Perl notation for Ranges].
<
use warnings;
Line 704 ⟶ 1,891:
$out .= join('..', @$_). ' ' for consolidate($intervals);
printf "%44s => %s\n", $in, $out;
}</
{{out}}
<pre> [1.1, 2.2] => 1.1..2.2
Line 712 ⟶ 1,899:
[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6] => -6..-1 1..8</pre>
=={{header|
<!--<syntaxhighlight lang="phix">(phixonline)-->
<span style="color: #008080;">with</span> <span style="color: #008080;">javascript_semantics</span>
<span style="color: #008080;">function</span> <span style="color: #000000;">consolidate</span><span style="color: #0000FF;">(</span><span style="color: #004080;">sequence</span> <span style="color: #000000;">sets</span><span style="color: #0000FF;">)</span>
<span style="color: #004080;">integer</span> <span style="color: #000000;">l</span> <span style="color: #0000FF;">=</span> <span style="color: #7060A8;">length</span><span style="color: #0000FF;">(</span><span style="color: #000000;">sets</span><span style="color: #0000FF;">)</span>
<span style="color: #004080;">sequence</span> <span style="color: #000000;">res</span> <span style="color: #0000FF;">=</span> <span style="color: #7060A8;">repeat</span><span style="color: #0000FF;">(</span><span style="color: #000000;">0</span><span style="color: #0000FF;">,</span><span style="color: #000000;">l</span><span style="color: #0000FF;">)</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">i</span><span style="color: #0000FF;">=</span><span style="color: #000000;">1</span> <span style="color: #008080;">to</span> <span style="color: #000000;">l</span> <span style="color: #008080;">do</span>
<span style="color: #004080;">atom</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">rs</span><span style="color: #0000FF;">,</span><span style="color: #000000;">re</span><span style="color: #0000FF;">}</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">sets</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">]</span>
<span style="color: #000000;">res</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">=</span> <span style="color: #008080;">iff</span><span style="color: #0000FF;">(</span><span style="color: #000000;">rs</span><span style="color: #0000FF;">></span><span style="color: #000000;">re</span><span style="color: #0000FF;">?{</span><span style="color: #000000;">re</span><span style="color: #0000FF;">,</span><span style="color: #000000;">rs</span><span style="color: #0000FF;">}:{</span><span style="color: #000000;">rs</span><span style="color: #0000FF;">,</span><span style="color: #000000;">re</span><span style="color: #0000FF;">})</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">i</span><span style="color: #0000FF;">=</span><span style="color: #000000;">l</span> <span style="color: #008080;">to</span> <span style="color: #000000;">1</span> <span style="color: #008080;">by</span> <span style="color: #0000FF;">-</span><span style="color: #000000;">1</span> <span style="color: #008080;">do</span>
<span style="color: #004080;">atom</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">il</span><span style="color: #0000FF;">,</span><span style="color: #000000;">ih</span><span style="color: #0000FF;">}</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">res</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">]</span>
<span style="color: #008080;">for</span> <span style="color: #000000;">j</span><span style="color: #0000FF;">=</span><span style="color: #000000;">l</span> <span style="color: #008080;">to</span> <span style="color: #000000;">i</span><span style="color: #0000FF;">+</span><span style="color: #000000;">1</span> <span style="color: #008080;">by</span> <span style="color: #0000FF;">-</span><span style="color: #000000;">1</span> <span style="color: #008080;">do</span>
<span style="color: #004080;">atom</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">jl</span><span style="color: #0000FF;">,</span><span style="color: #000000;">jh</span><span style="color: #0000FF;">}</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">res</span><span style="color: #0000FF;">[</span><span style="color: #000000;">j</span><span style="color: #0000FF;">]</span>
<span style="color: #004080;">bool</span> <span style="color: #000000;">overlap</span> <span style="color: #0000FF;">=</span> <span style="color: #008080;">iff</span><span style="color: #0000FF;">(</span><span style="color: #000000;">il</span><span style="color: #0000FF;"><=</span><span style="color: #000000;">jl</span><span style="color: #0000FF;">?</span><span style="color: #000000;">jl</span><span style="color: #0000FF;"><=</span><span style="color: #000000;">ih</span><span style="color: #0000FF;">:</span><span style="color: #000000;">il</span><span style="color: #0000FF;"><=</span><span style="color: #000000;">jh</span><span style="color: #0000FF;">)</span>
<span style="color: #008080;">if</span> <span style="color: #000000;">overlap</span> <span style="color: #008080;">then</span>
<span style="color: #0000FF;">{</span><span style="color: #000000;">il</span><span style="color: #0000FF;">,</span><span style="color: #000000;">ih</span><span style="color: #0000FF;">}</span> <span style="color: #0000FF;">=</span> <span style="color: #0000FF;">{</span><span style="color: #7060A8;">min</span><span style="color: #0000FF;">(</span><span style="color: #000000;">il</span><span style="color: #0000FF;">,</span><span style="color: #000000;">jl</span><span style="color: #0000FF;">),</span><span style="color: #7060A8;">max</span><span style="color: #0000FF;">(</span><span style="color: #000000;">ih</span><span style="color: #0000FF;">,</span><span style="color: #000000;">jh</span><span style="color: #0000FF;">)}</span>
<span style="color: #000000;">res</span><span style="color: #0000FF;">[</span><span style="color: #000000;">j</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">res</span><span style="color: #0000FF;">[</span><span style="color: #000000;">l</span><span style="color: #0000FF;">]</span>
<span style="color: #000000;">l</span> <span style="color: #0000FF;">-=</span> <span style="color: #000000;">1</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">if</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #000000;">res</span><span style="color: #0000FF;">[</span><span style="color: #000000;">i</span><span style="color: #0000FF;">]</span> <span style="color: #0000FF;">=</span> <span style="color: #0000FF;">{</span><span style="color: #000000;">il</span><span style="color: #0000FF;">,</span><span style="color: #000000;">ih</span><span style="color: #0000FF;">}</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">for</span>
<span style="color: #000000;">res</span> <span style="color: #0000FF;">=</span> <span style="color: #7060A8;">sort</span><span style="color: #0000FF;">(</span><span style="color: #000000;">res</span><span style="color: #0000FF;">[</span><span style="color: #000000;">1</span><span style="color: #0000FF;">..</span><span style="color: #000000;">l</span><span style="color: #0000FF;">])</span>
<span style="color: #008080;">return</span> <span style="color: #000000;">res</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">function</span>
<span style="color: #008080;">procedure</span> <span style="color: #000000;">test</span><span style="color: #0000FF;">(</span><span style="color: #004080;">sequence</span> <span style="color: #000000;">set</span><span style="color: #0000FF;">)</span>
<span style="color: #7060A8;">printf</span><span style="color: #0000FF;">(</span><span style="color: #000000;">1</span><span style="color: #0000FF;">,</span><span style="color: #008000;">"%40v => %v\n"</span><span style="color: #0000FF;">,{</span><span style="color: #000000;">set</span><span style="color: #0000FF;">,</span><span style="color: #000000;">consolidate</span><span style="color: #0000FF;">(</span><span style="color: #000000;">set</span><span style="color: #0000FF;">)})</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">procedure</span>
<span style="color: #000000;">test</span><span style="color: #0000FF;">({{</span><span style="color: #000000;">1.1</span><span style="color: #0000FF;">,</span><span style="color: #000000;">2.2</span><span style="color: #0000FF;">}})</span>
<span style="color: #000000;">test</span><span style="color: #0000FF;">({{</span><span style="color: #000000;">6.1</span><span style="color: #0000FF;">,</span><span style="color: #000000;">7.2</span><span style="color: #0000FF;">},{</span><span style="color: #000000;">7.2</span><span style="color: #0000FF;">,</span><span style="color: #000000;">8.3</span><span style="color: #0000FF;">}})</span>
<span style="color: #000000;">test</span><span style="color: #0000FF;">({{</span><span style="color: #000000;">4</span><span style="color: #0000FF;">,</span><span style="color: #000000;">3</span><span style="color: #0000FF;">},{</span><span style="color: #000000;">2</span><span style="color: #0000FF;">,</span><span style="color: #000000;">1</span><span style="color: #0000FF;">}})</span>
<span style="color: #000000;">test</span><span style="color: #0000FF;">({{</span><span style="color: #000000;">4</span><span style="color: #0000FF;">,</span><span style="color: #000000;">3</span><span style="color: #0000FF;">},{</span><span style="color: #000000;">2</span><span style="color: #0000FF;">,</span><span style="color: #000000;">1</span><span style="color: #0000FF;">},{-</span><span style="color: #000000;">1</span><span style="color: #0000FF;">,-</span><span style="color: #000000;">2</span><span style="color: #0000FF;">},{</span><span style="color: #000000;">3.9</span><span style="color: #0000FF;">,</span><span style="color: #000000;">10</span><span style="color: #0000FF;">}})</span>
<span style="color: #000000;">test</span><span style="color: #0000FF;">({{</span><span style="color: #000000;">1</span><span style="color: #0000FF;">,</span><span style="color: #000000;">3</span><span style="color: #0000FF;">},{-</span><span style="color: #000000;">6</span><span style="color: #0000FF;">,-</span><span style="color: #000000;">1</span><span style="color: #0000FF;">},{-</span><span style="color: #000000;">4</span><span style="color: #0000FF;">,-</span><span style="color: #000000;">5</span><span style="color: #0000FF;">},{</span><span style="color: #000000;">8</span><span style="color: #0000FF;">,</span><span style="color: #000000;">2</span><span style="color: #0000FF;">},{-</span><span style="color: #000000;">6</span><span style="color: #0000FF;">,-</span><span style="color: #000000;">6</span><span style="color: #0000FF;">}})</span>
<!--</syntaxhighlight>-->
{{out}}
<pre>
{{1.1,2.2}} => {{1.1,2.2}}
{{6.1,7.2},{7.2,8.3}} => {{6.1,8.3}}
{{4,3},{2,1}} => {{1,2},{3,4}}
{{4,3},{2,1},{-1,-2},{3.9,10}} => {{-2,-1},{1,2},{3,10}}
{{1,3},{-6,-1},{-4,-5},{8,2},{-6,-6}} => {{-6,-1},{1,8}}
</pre>
=={{header|Prolog}}==
{{works with|SWI Prolog}}
<syntaxhighlight lang="prolog">consolidate_ranges(Ranges, Consolidated):-
normalize(Ranges, Normalized),
sort(Normalized, Sorted),
merge(Sorted, Consolidated).
normalize([], []):-!.
normalize([r(X, Y)|Ranges], [r(Min, Max)|Normalized]):-
(X > Y -> Min = Y, Max = X; Min = X, Max = Y),
normalize(Ranges, Normalized).
merge([], []):-!.
merge([r(Min1, Max1), r(Min2, Max2)|Rest], Merged):-
Min2 =< Max1,
!,
Max is max(Max1, Max2),
merge([r(Min1, Max)|Rest], Merged).
merge([Range|Ranges], [Range|Merged]):-
merge(Ranges, Merged).
write_range(r(Min, Max)):-
writef('[%w, %w]', [Min, Max]).
write_ranges([]):-!.
write_ranges([Range]):-
!,
write_range(Range).
write_ranges([Range|Ranges]):-
write_range(Range),
write(', '),
write_ranges(Ranges).
main:-
forall(test_case(Ranges),
(consolidate_ranges(Ranges, Consolidated),
write_ranges(Consolidated), nl)).</syntaxhighlight>
{{out}}
<pre>
</pre>
=={{header|Python}}==
===Procedural===
<
return sorted(sorted(bounds) for bounds in s if bounds)
Line 812 ⟶ 2,024:
]:
print(f"{str(s)[1:-1]} => {str(consolidate(s))[1:-1]}")
</syntaxhighlight>
{{out}}
Line 827 ⟶ 2,039:
{{Trans|Haskell}}
{{Works with|Python|3.7}}
<
from functools import reduce
Line 914 ⟶ 2,126:
# MAIN ---
if __name__ == '__main__':
main()</
{{Out}}
<pre>Consolidation of numeric ranges:
Line 925 ⟶ 2,137:
=={{header|Racket}}==
<
;; Racket's max and min allow inexact numbers to contaminate exact numbers
Line 952 ⟶ 2,164:
([1 3] [-6 -1] [-4 -5] [8 2] [-6 -6])))
(for ([xs (in-list inputs)]) (printf "~a => ~a\n" xs (solve xs)))</
{{out}}
Line 961 ⟶ 2,173:
((4 3) (2 1) (-1 -2) (3.9 10)) => ((-2 -1) (1 2) (3 10))
((1 3) (-6 -1) (-4 -5) (8 2) (-6 -6)) => ((-6 -1) (1 8))
</pre>
=={{header|Raku}}==
(formerly Perl 6)
{{works with|Rakudo|2020.08.1}}
In Raku, a Range is a first class object with its own specialized notation. Raku Ranges allow for exclusion of the boundary numbers. This example doesn't since it isn't a requirement in this task. Much of the logic is lifted from the [[Set_of_real_numbers#Raku|Set_of_real_numbers]] task with simplified logic for the much simpler requirements.
Note: the output is in standard [https://docs.raku.org/type/Range Raku notation for Ranges].
<syntaxhighlight lang="raku" line># Union
sub infix:<∪> (Range $a, Range $b) { Range.new($a.min,max($a.max,$b.max)) }
# Intersection
sub infix:<∩> (Range $a, Range $b) { so $a.max >= $b.min }
multi consolidate() { () }
multi consolidate($this is copy, **@those) {
gather {
for consolidate |@those -> $that {
if $this ∩ $that { $this ∪= $that }
else { take $that }
}
take $this;
}
}
for [[1.1, 2.2],],
[[6.1, 7.2], [7.2, 8.3]],
[[4, 3], [2, 1]],
[[4, 3], [2, 1], [-1, -2], [3.9, 10]],
[[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6]]
-> @intervals {
printf "%46s => ", @intervals.raku;
say reverse consolidate |@intervals.grep(*.elems)».sort.sort({ [.[0], .[*-1]] }).map: { Range.new(.[0], .[*-1]) }
}</syntaxhighlight>
{{out}}
<pre> [[1.1, 2.2],] => (1.1..2.2)
[[6.1, 7.2], [7.2, 8.3]] => (6.1..8.3)
[[4, 3], [2, 1]] => (1..2 3..4)
[[4, 3], [2, 1], [-1, -2], [3.9, 10]] => (-2..-1 1..2 3..10)
[[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6]] => (-6..-1 1..8)
</pre>
Line 967 ⟶ 2,221:
The actual logic for the range consolidation is marked with the comments: <big> <tt> /*■■■■►*/ </tt> </big>
<
#.= /*define the default for range sets. */
parse arg #.1 /*obtain optional arguments from the CL*/
Line 1,008 ⟶ 2,262:
y= space(y, 0) /*elide superfluous blanks in the sets.*/
do k=1 while y\=='' & y\=='[]' /*process ranges while range not blank.*/
parse var y '[' L "," H ']' y /*extract the "low" and "high" values.*/
if H<L then parse value L H with H L /*order " " " " " */
Line 1,020 ⟶ 2,274:
do j=1 to n-1; _= @.j
do k=j+1 to n; if word(@.k,1)>=word(_,1) then iterate; @.j=@.k; @.k=_; _=@.j
end /*k*/
end /*j*/; return</syntaxhighlight>
{{out|output|text= when using the default inputs:}}
<pre>
Line 1,041 ⟶ 2,296:
original ranges: []
consolidated ranges: []
</pre>
=={{header|RPL}}==
{{works with|RPL|HP-48R}}
« 1 OVER SIZE '''FOR''' j
j DUP2 GET V→
'''IF''' DUP2 > '''THEN''' SWAP '''END'''
→V2 PUT
'''NEXT'''
» <span style="color:blue">RNGNORM</span>' STO
« LIST→ → len
« len 1 '''FOR''' n
1 n 1 - '''START'''
DUP2 - DUP 1 GET
SWAP V→ IFTE
'''IF''' 0 > '''THEN''' SWAP '''END'''
n ROLLD
'''NEXT''' n ROLLD
-1 '''STEP'''
len →LIST
» » '<span style="color:blue">RNGSORT</span>' STO
« <span style="color:blue">RNGNORM</span>
'''IF''' DUP SIZE 2 ≥ '''THEN'''
<span style="color:blue">RNGSORT</span> → ranges
« { } ranges 1 GET
2 ranges SIZE '''FOR''' j
ranges j GET
'''IF''' OVER 2 GET OVER 1 GET ≥
'''THEN''' SWAP V→ ROT V→ SWAP DROP MAX →V2
'''ELSE''' ROT ROT + SWAP END
'''NEXT''' +
» '''END'''
» '<span style="color:blue">RNGCONSO</span>' STO
{ { [1.1, 2.2] }
{ [6.1, 7.2] [7.2, 8.3] }
{ [4 3] [2 1] }
{ [4 3] [2 1] [-1, -2] [3.9 10] }
{ [1 3] [-6 -1] [-4 -5] [8 2] [-6 -6]} }
1 « <span style="color:blue">RNGCONSO</span> » DOLIST
{{out}}
<pre>
1: { { [ 1.1 2.2 ] }
{ [ 6.1 8.3 ] }
{ [ 1 2 ] [ 3 4 ] }
{ [ -2 -1 ] [ 1 2 ] [ 3 10 ] }
{ [ -6 -1 ] [ 1 8 ] } }
</pre>
=={{header|Rust}}==
Most of the implementation below belongs to the test and formatting support.
If the output might be more arbitrary, the source would be quite small.
The algorithm relies on normalizing the ranges and folding a sorted sequence of them.
<syntaxhighlight lang="rust">use std::fmt::{Display, Formatter};
// We could use std::ops::RangeInclusive, but we would have to extend it to
// normalize self (not much trouble) and it would not have to handle pretty
// printing for it explicitly. So, let's make rather an own type.
#[derive(Clone, Debug, PartialEq, PartialOrd)]
pub struct ClosedRange<Idx> {
start: Idx,
end: Idx,
}
impl<Idx> ClosedRange<Idx> {
pub fn start(&self) -> &Idx {
&self.start
}
pub fn end(&self) -> &Idx {
&self.end
}
}
impl<Idx: PartialOrd> ClosedRange<Idx> {
pub fn new(start: Idx, end: Idx) -> Self {
if start <= end {
Self { start, end }
} else {
Self {
end: start,
start: end,
}
}
}
}
// To make test input more compact
impl<Idx: PartialOrd> From<(Idx, Idx)> for ClosedRange<Idx> {
fn from((start, end): (Idx, Idx)) -> Self {
Self::new(start, end)
}
}
// For the required print format
impl<Idx: Display> Display for ClosedRange<Idx> {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
write!(f, "[{}, {}]", self.start, self.end)
}
}
fn consolidate<Idx>(a: &ClosedRange<Idx>, b: &ClosedRange<Idx>) -> Option<ClosedRange<Idx>>
where
Idx: PartialOrd + Clone,
{
if a.start() <= b.start() {
if b.end() <= a.end() {
Some(a.clone())
} else if a.end() < b.start() {
None
} else {
Some(ClosedRange::new(a.start().clone(), b.end().clone()))
}
} else {
consolidate(b, a)
}
}
fn consolidate_all<Idx>(mut ranges: Vec<ClosedRange<Idx>>) -> Vec<ClosedRange<Idx>>
where
Idx: PartialOrd + Clone,
{
// Panics for incomparable elements! So no NaN for floats, for instance.
ranges.sort_by(|a, b| a.partial_cmp(b).unwrap());
let mut ranges = ranges.into_iter();
let mut result = Vec::new();
if let Some(current) = ranges.next() {
let leftover = ranges.fold(current, |mut acc, next| {
match consolidate(&acc, &next) {
Some(merger) => {
acc = merger;
}
None => {
result.push(acc);
acc = next;
}
}
acc
});
result.push(leftover);
}
result
}
#[cfg(test)]
mod tests {
use super::{consolidate_all, ClosedRange};
use std::fmt::{Display, Formatter};
struct IteratorToDisplay<F>(F);
impl<F, I> Display for IteratorToDisplay<F>
where
F: Fn() -> I,
I: Iterator,
I::Item: Display,
{
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
let mut items = self.0();
if let Some(item) = items.next() {
write!(f, "{}", item)?;
for item in items {
write!(f, ", {}", item)?;
}
}
Ok(())
}
}
macro_rules! parameterized {
($($name:ident: $value:expr,)*) => {
$(
#[test]
fn $name() {
let (input, expected) = $value;
let expected: Vec<_> = expected.into_iter().map(ClosedRange::from).collect();
let output = consolidate_all(input.into_iter().map(ClosedRange::from).collect());
println!("{}: {}", stringify!($name), IteratorToDisplay(|| output.iter()));
assert_eq!(expected, output);
}
)*
}
}
parameterized! {
single: (vec![(1.1, 2.2)], vec![(1.1, 2.2)]),
touching: (vec![(6.1, 7.2), (7.2, 8.3)], vec![(6.1, 8.3)]),
disjoint: (vec![(4, 3), (2, 1)], vec![(1, 2), (3, 4)]),
overlap: (vec![(4.0, 3.0), (2.0, 1.0), (-1.0, -2.0), (3.9, 10.0)], vec![(-2.0, -1.0), (1.0, 2.0), (3.0, 10.0)]),
integer: (vec![(1, 3), (-6, -1), (-4, -5), (8, 2), (-6, -6)], vec![(-6, -1), (1, 8)]),
}
}
fn main() {
// To prevent dead code and to check empty input
consolidate_all(Vec::<ClosedRange<usize>>::new());
println!("Run: cargo test -- --nocapture");
}</syntaxhighlight>
{{out}}
<pre>
running 5 tests
integer: [-6, -1], [1, 8]
disjoint: [1, 2], [3, 4]
single: [1.1, 2.2]
touching: [6.1, 8.3]
overlap: [-2, -1], [1, 2], [3, 10]
test tests::integer ... ok
test tests::disjoint ... ok
test tests::single ... ok
test tests::touching ... ok
test tests::overlap ... ok
test result: ok. 5 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out
</pre>
=={{header|SQL}}==
{{works with|ORACLE 19c}}
This is not a particularly efficient solution, but it gets the job done.
<syntaxhighlight lang="sql">
/*
This code is an implementation of "Range consolidation" in SQL ORACLE 19c
p_list_of_sets -- input string
delimeter by default "|"
*/
with
function range_consolidation(p_list_of_sets in varchar2)
return varchar2 is
--
v_list_of_sets varchar2(32767) := p_list_of_sets;
v_output varchar2(32767);
v_set_1 varchar2(2000);
v_set_2 varchar2(2000);
v_pos_set_1 pls_integer;
v_pos_set_2 pls_integer;
v_set_1_min number;
v_set_1_max number;
v_set_2_min number;
v_set_2_max number;
--
function sort_set(p_in_str varchar2)
return varchar2 is
v_out varchar2(32767) := p_in_str;
begin
--
with out_tab as
(select to_number(regexp_substr(str, '[^,]+', 1, rownum, 'c', 0)) elem
from
(select p_in_str as str
from dual
)
connect by level <= regexp_count(str, '[^,]+')
)
select min(elem)||','||max(elem) end
into v_out
from out_tab;
--
return v_out;
end;
--
function sort_output(p_in_str varchar2)
return varchar2 is
v_out varchar2(32767) := p_in_str;
begin
--
with out_tab as
(select to_number(regexp_substr(regexp_substr(str, '[^|]+', 1, rownum, 'c', 0), '[^,]+', 1, 1)) low_range
, regexp_substr(str, '[^|]+', 1, rownum, 'c', 0) range_def
from
(select p_in_str as str
from dual
)
connect by level <= regexp_count(str, '[^|]+')
)
select listagg(range_def, '|') within group(order by low_range)
into v_out
from out_tab;
--
return v_out;
end;
--
begin
--
execute immediate ('alter session set NLS_NUMERIC_CHARACTERS = ''.,''');
--
--cleaning
v_list_of_sets := ltrim(v_list_of_sets, '[');
v_list_of_sets := rtrim(v_list_of_sets, ']');
v_list_of_sets := replace(v_list_of_sets, ' ', '');
--set delimeter "|"
v_list_of_sets := regexp_replace(v_list_of_sets, '\]\,\[', '|', 1, 0);
--
<<loop_through_sets>>
while regexp_count(v_list_of_sets, '[^|]+') > 0
loop
v_set_1 := regexp_substr(v_list_of_sets, '[^|]+', 1, 1);
v_list_of_sets := regexp_replace(v_list_of_sets, v_set_1, sort_set(v_set_1), 1, 1);
v_set_1 := sort_set(v_set_1);
v_pos_set_1 := regexp_instr(v_list_of_sets, '[^|]+', 1, 1);
--
v_set_1_min := least(to_number(regexp_substr(v_set_1, '[^,]+', 1, 1)),to_number(regexp_substr(v_set_1, '[^,]+', 1, 2)));
v_set_1_max := greatest(to_number(regexp_substr(v_set_1, '[^,]+', 1, 1)),to_number(regexp_substr(v_set_1, '[^,]+', 1, 2)));
--
<<loop_for>>
for i in 1..regexp_count(v_list_of_sets, '[^|]+')-1
loop
--
v_set_2 := regexp_substr(v_list_of_sets, '[^|]+', 1, i+1);
v_list_of_sets := regexp_replace(v_list_of_sets, v_set_2, sort_set(v_set_2), 1, 1);
v_set_2 := sort_set(v_set_2);
v_pos_set_2 := regexp_instr(v_list_of_sets, '[^|]+', 1, i+1);
v_set_2_min := least(to_number(regexp_substr(v_set_2, '[^,]+', 1, 1)),to_number(regexp_substr(v_set_2, '[^,]+', 1, 2)));
v_set_2_max := greatest(to_number(regexp_substr(v_set_2, '[^,]+', 1, 1)),to_number(regexp_substr(v_set_2, '[^,]+', 1, 2)));
--
if greatest(v_set_1_min,v_set_2_min)-least(v_set_1_max,v_set_2_max) <= 0 then --overlapping
v_list_of_sets := regexp_replace(v_list_of_sets, v_set_1, ''||least(v_set_1_min,v_set_2_min)||','||greatest(v_set_1_max,v_set_2_max),v_pos_set_1,1);
v_list_of_sets := regexp_replace(v_list_of_sets, v_set_2, '', v_pos_set_2, 1);
continue loop_through_sets;
end if;
--
end loop loop_for;
--
v_output := ltrim(v_output||'|'||least(v_set_1_min,v_set_1_max)||', '||greatest(v_set_1_min,v_set_1_max),'|');
--
v_output := sort_output(v_output);
v_list_of_sets := regexp_replace(v_list_of_sets,v_set_1,'',1,1);
--
end loop loop_through_sets;
--
return '['||replace(v_output,'|','], [')||']';
end;
--Test
select lpad('[]',50) || ' ==> ' || range_consolidation('[]') as output from dual
union all
select lpad('[],[]',50) || ' ==> ' || range_consolidation('[],[]') as output from dual
union all
select lpad('[],[1,1]',50) || ' ==> ' || range_consolidation('[],[1,1]') as output from dual
union all
select lpad('[1.3]',50) || ' ==> ' || range_consolidation('[1.3]') as output from dual
union all
select lpad('[2,2],[1]',50) || ' ==> ' || range_consolidation('[2,2],[1]') as output from dual
union all
select lpad('[4,-1,0,1,5,7,7,7],[9,6,9,6,9]',50) || ' ==> ' || range_consolidation('[4,-1,0,1,5,7,7,7],[9,6,9,6,9]') as output from dual
union all
--Test RosettaCode
select '-- Test RosettaCode' as output from dual
union all
select lpad('[1.1, 2.2]',50) || ' ==> ' || range_consolidation('[1.1, 2.2]') as output from dual
union all
select lpad('[6.1, 7.2], [7.2, 8.3]',50) || ' ==> ' || range_consolidation('[6.1, 7.2], [7.2, 8.3]') as output from dual
union all
select lpad('[4, 3], [2, 1]',50) || ' ==> ' || range_consolidation('[4, 3], [2, 1]') as output from dual
union all
select lpad('[4, 3], [2, 1], [-1, -2], [3.9, 10]',50) || ' ==> ' || range_consolidation('[4, 3], [2, 1], [-1, -2], [3.9, 10]') as output from dual
union all
select lpad('[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6]',50) || ' ==> ' || range_consolidation('[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6]') as output from dual
union all
select lpad('1,3|-6,-1|-4,-5|8,2|-6,-6',50) || ' ==> ' || range_consolidation('1,3|-6,-1|-4,-5|8,2|-6,-6') as output from dual
/
;
/
</syntaxhighlight>
{{out}}
<pre>
[] ==> []
[],[] ==> []
[],[1,1] ==> [1, 1]
[1.3] ==> [1.3, 1.3]
[2,2],[1] ==> [1, 1], [2, 2]
[4,-1,0,1,5,7,7,7],[9,6,9,6,9] ==> [-1, 9]
-- Test RosettaCode
[1.1, 2.2] ==> [1.1, 2.2]
[6.1, 7.2], [7.2, 8.3] ==> [6.1, 8.3]
[4, 3], [2, 1] ==> [1, 2], [3, 4]
[4, 3], [2, 1], [-1, -2], [3.9, 10] ==> [-2, -1], [1, 2], [3, 10]
[1, 3], [-6, -1], [-4, -5], [8, 2], [-6, -6] ==> [-6, -1], [1, 8]
1,3|-6,-1|-4,-5|8,2|-6,-6 ==> [-6, -1], [1, 8]
</pre>
=={{header|Wren}}==
As Wren already has a built-in Range class (which is not quite the same as what's required here), we create a Span class instead.
<syntaxhighlight lang="wren">class Span {
construct new(r) {
if (r.type != Range || !r.isInclusive) Fiber.abort("Argument must be an inclusive range.")
_low = r.from
_high = r.to
if (_low > _high) {
_low = r.to
_high = r.from
}
}
low { _low }
high { _high }
consolidate(r) {
if (r.type != Span) Fiber.abort("Argument must be a Span.")
if (_high < r.low) return [this, r]
if (r.high < _low) return [r, this]
return [Span.new(_low.min(r.low).._high.max(r.high))]
}
toString { "[%(_low), %(_high)]" }
}
var spanLists = [
[Span.new(1.1..2.2)],
[Span.new(6.1..7.2), Span.new(7.2..8.3)],
[Span.new(4..3), Span.new(2..1)],
[Span.new(4..3), Span.new(2..1), Span.new(-1..-2), Span.new(3.9..10)],
[Span.new(1..3), Span.new(-6..-1), Span.new(-4..-5), Span.new(8..2), Span.new(-6..-6)]
]
for (spanList in spanLists) {
if (spanList.count == 1) {
System.print(spanList.toString[1..-2])
} else if (spanList.count == 2) {
System.print(spanList[0].consolidate(spanList[1]).toString[1..-2])
} else {
var first = 0
while (first < spanList.count-1) {
var next = first + 1
while (next < spanList.count) {
var res = spanList[first].consolidate(spanList[next])
spanList[first] = res[0]
if (res.count == 2) {
spanList[next] = res[1]
next = next + 1
} else {
spanList.removeAt(next)
}
}
first = first + 1
}
System.print(spanList.toString[1..-2])
}
}</syntaxhighlight>
{{out}}
<pre>
[1.1, 2.2]
[6.1, 8.3]
[1, 2], [3, 4]
[-2, -1], [1, 2], [3, 10]
[-6, -1], [1, 8]
</pre>
=={{header|Yabasic}}==
<
local items, i, t1, t2, s
Line 1,114 ⟶ 2,830:
for i = 1 to items
if tabla(i, 1) <> void print tabla(i, 1), "..", tabla(i, 2);
next</
=={{header|zkl}}==
<
(s:=List()).append(
normalize(rs).reduce('wrap(ab,cd){
}) )
}
fcn normalize(s){ s.apply("sort").sort(fcn(a,b){ a[0]<b[0] }) }</
<
L(L(1.1, 2.2)), L(L(6.1, 7.2), L(7.2, 8.3)), L(L(4, 3), L(2, 1)),
L(L(4.0, 3.0), L(2.0, 1.0), L(-1.0, -2.0), L(3.9, 10.0)),
L(L(1, 3), L(-6, -1), L(-4, -5), L(8, 2), L(-6, -6)),
)){ println(ppp(rs),"--> ",ppp(consolidate(rs))) }
fcn ppp(ll){ ll.pump(String,fcn(list){ list.concat(", ", "[", "] ") }) }</
{{out}}
<pre>
|