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John Kerl 2023-08-26 22:49:28 -04:00
parent fccb7c63bb
commit 67d16c89c1
6 changed files with 11 additions and 11 deletions
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4
docs/src/manpage.md
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@ -2744,7 +2744,7 @@ MILLER(1) MILLER(1)
percentiles([3,4,5,6,9,10], [25,75], {"interpolate_linearly":true}) is { "25": 4.25, "75": 8.25 }
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais":
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais"):
x = [6,5,9,10,4,3]
percentiles(x, [25,75], {"ais":true}) gives { "25": 5, "75": 4 } which is incorrect
@ -3634,5 +3634,5 @@ MILLER(1) MILLER(1)
2023-08-26 MILLER(1)
2023-08-27 MILLER(1)
</pre>

4
docs/src/manpage.txt
View file

@ -2723,7 +2723,7 @@ MILLER(1) MILLER(1)
percentiles([3,4,5,6,9,10], [25,75], {"interpolate_linearly":true}) is { "25": 4.25, "75": 8.25 }
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais":
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais"):
x = [6,5,9,10,4,3]
percentiles(x, [25,75], {"ais":true}) gives { "25": 5, "75": 4 } which is incorrect
@ -3613,4 +3613,4 @@ MILLER(1) MILLER(1)
2023-08-26 MILLER(1)
2023-08-27 MILLER(1)

2
docs/src/reference-dsl-builtin-functions.md
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@ -1099,7 +1099,7 @@ Use "interpolate_linearly" (or shorthand "il") to do linear interpolation -- not
percentiles([3,4,5,6,9,10], [25,75], {"interpolate_linearly":true}) is { "25": 4.25, "75": 8.25 }
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais":
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais"):
x = [6,5,9,10,4,3]
percentiles(x, [25,75], {"ais":true}) gives { "25": 5, "75": 4 } which is incorrect

2
internal/pkg/dsl/cst/builtin_function_manager.go
View file

@ -1187,7 +1187,7 @@ is normally distributed.`,
``,
` percentiles([3,4,5,6,9,10], [25,75], {"interpolate_linearly":true}) is { "25": 4.25, "75": 8.25 }`,
``,
`The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais":`,
`The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais"):`,
``,
` x = [6,5,9,10,4,3]`,
` percentiles(x, [25,75], {"ais":true}) gives { "25": 5, "75": 4 } which is incorrect`,

4
man/manpage.txt
View file

@ -2723,7 +2723,7 @@ MILLER(1) MILLER(1)
percentiles([3,4,5,6,9,10], [25,75], {"interpolate_linearly":true}) is { "25": 4.25, "75": 8.25 }
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais":
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais"):
x = [6,5,9,10,4,3]
percentiles(x, [25,75], {"ais":true}) gives { "25": 5, "75": 4 } which is incorrect
@ -3613,4 +3613,4 @@ MILLER(1) MILLER(1)
2023-08-26 MILLER(1)
2023-08-27 MILLER(1)

6
man/mlr.1
View file

@ -2,12 +2,12 @@
.\" Title: mlr
.\" Author: [see the "AUTHOR" section]
.\" Generator: ./mkman.rb
.\" Date: 2023-08-26
.\" Date: 2023-08-27
.\" Manual: \ \&
.\" Source: \ \&
.\" Language: English
.\"
.TH "MILLER" "1" "2023-08-26" "\ \&" "\ \&"
.TH "MILLER" "1" "2023-08-27" "\ \&" "\ \&"
.\" -----------------------------------------------------------------
.\" * Portability definitions
.\" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@ -4144,7 +4144,7 @@ Use "interpolate_linearly" (or shorthand "il") to do linear interpolation -- not
percentiles([3,4,5,6,9,10], [25,75], {"interpolate_linearly":true}) is { "25": 4.25, "75": 8.25 }
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais":
The percentiles function always sorts its inputs before computing percentiles. If you know your input is already sorted -- see also the sort_collection function -- then computation will be faster on large input if you pass in "array_is_sorted" (shorthand: "ais"):
x = [6,5,9,10,4,3]
percentiles(x, [25,75], {"ais":true}) gives { "25": 5, "75": 4 } which is incorrect