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/*
* searchtools.js
* ~~~~~~~~~~~~~~~~
*
* Sphinx JavaScript utilities for the full-text search.
*
* :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
"use strict"
;
/**
* Simple result scoring code.
*/
if
(
typeof
Scorer
===
"undefined"
)
{
var
Scorer
=
{
// Implement the following function to further tweak the score for each result
// The function takes a result array [docname, title, anchor, descr, score, filename]
// and returns the new score.
/*
score: result => {
const [docname, title, anchor, descr, score, filename] = result
return score
},
*/
// query matches the full name of an object
objNameMatch
:
11
,
// or matches in the last dotted part of the object name
objPartialMatch
:
6
,
// Additive scores depending on the priority of the object
objPrio
:
{
0
:
15
,
// used to be importantResults
1
:
5
,
// used to be objectResults
2
:
-
5
,
// used to be unimportantResults
}
,
// Used when the priority is not in the mapping.
objPrioDefault
:
0
,
// query found in title
title
:
15
,
partialTitle
:
7
,
// query found in terms
term
:
5
,
partialTerm
:
2
,
}
;
}
const
_removeChildren
=
(
element
)
=>
{
while
(
element
&&
element
.
lastChild
)
element
.
removeChild
(
element
.
lastChild
)
;
}
;
/**
* See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
*/
const
_escapeRegExp
=
(
string
)
=>
string
.
replace
(
/
[
.
*
+
\-
?
^
$
{
}
(
)
|
[
\]
\\
]
/
g
,
"\\$&"
)
;
// $& means the whole matched string
const
_displayItem
=
(
item
,
searchTerms
,
highlightTerms
)
=>
{
const
docBuilder
=
DOCUMENTATION_OPTIONS
.
BUILDER
;
const
docFileSuffix
=
DOCUMENTATION_OPTIONS
.
FILE_SUFFIX
;
const
docLinkSuffix
=
DOCUMENTATION_OPTIONS
.
LINK_SUFFIX
;
const
showSearchSummary
=
DOCUMENTATION_OPTIONS
.
SHOW_SEARCH_SUMMARY
;
const
contentRoot
=
document
.
documentElement
.
dataset
.
content_root
;
const
[
docName
,
title
,
anchor
,
descr
,
score
,
_filename
]
=
item
;
let
listItem
=
document
.
createElement
(
"li"
)
;
let
requestUrl
;
let
linkUrl
;
if
(
docBuilder
===
"dirhtml"
)
{
// dirhtml builder
let
dirname
=
docName
+
"/"
;
if
(
dirname
.
match
(
/
\/
i
n
d
e
x
\/
$
/
)
)
dirname
=
dirname
.
substring
(
0
,
dirname
.
length
-
6
)
;
else
if
(
dirname
===
"index/"
)
dirname
=
""
;
requestUrl
=
contentRoot
+
dirname
;
linkUrl
=
requestUrl
;
}
else
{
// normal html builders
requestUrl
=
contentRoot
+
docName
+
docFileSuffix
;
linkUrl
=
docName
+
docLinkSuffix
;
}
let
linkEl
=
listItem
.
appendChild
(
document
.
createElement
(
"a"
)
)
;
linkEl
.
href
=
linkUrl
+
anchor
;
linkEl
.
dataset
.
score
=
score
;
linkEl
.
innerHTML
=
title
;
if
(
descr
)
{
listItem
.
appendChild
(
document
.
createElement
(
"span"
)
)
.
innerHTML
=
" ("
+
descr
+
")"
;
// highlight search terms in the description
if
(
SPHINX_HIGHLIGHT_ENABLED
)
// set in sphinx_highlight.js
highlightTerms
.
forEach
(
(
term
)
=>
_highlightText
(
listItem
,
term
,
"highlighted"
)
)
;
}
else
if
(
showSearchSummary
)
fetch
(
requestUrl
)
.
then
(
(
responseData
)
=>
responseData
.
text
(
)
)
.
then
(
(
data
)
=>
{
if
(
data
)
listItem
.
appendChild
(
Search
.
makeSearchSummary
(
data
,
searchTerms
)
)
;
// highlight search terms in the summary
if
(
SPHINX_HIGHLIGHT_ENABLED
)
// set in sphinx_highlight.js
highlightTerms
.
forEach
(
(
term
)
=>
_highlightText
(
listItem
,
term
,
"highlighted"
)
)
;
}
)
;
Search
.
output
.
appendChild
(
listItem
)
;
}
;
const
_finishSearch
=
(
resultCount
)
=>
{
Search
.
stopPulse
(
)
;
Search
.
title
.
innerText
=
_
(
"Search Results"
)
;
if
(
!
resultCount
)
Search
.
status
.
innerText
=
Documentation
.
gettext
(
"Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
)
;
else
Search
.
status
.
innerText
=
_
(
`Search finished, found
${
resultCount
}
page(s) matching the search query.`
)
;
}
;
const
_displayNextItem
=
(
results
,
resultCount
,
searchTerms
,
highlightTerms
,
)
=>
{
// results left, load the summary and display it
// this is intended to be dynamic (don't sub resultsCount)
if
(
results
.
length
)
{
_displayItem
(
results
.
pop
(
)
,
searchTerms
,
highlightTerms
)
;
setTimeout
(
(
)
=>
_displayNextItem
(
results
,
resultCount
,
searchTerms
,
highlightTerms
)
,
5
)
;
}
// search finished, update title and status message
else
_finishSearch
(
resultCount
)
;
}
;
/**
* Default splitQuery function. Can be overridden in ``sphinx.search`` with a
* custom function per language.
*
* The regular expression works by splitting the string on consecutive characters
* that are not Unicode letters, numbers, underscores, or emoji characters.
* This is the same as ``\W+`` in Python, preserving the surrogate pair area.
*/
if
(
typeof
splitQuery
===
"undefined"
)
{
var
splitQuery
=
(
query
)
=>
query
.
split
(
/
[
^
\p
{
Letter
}
\p
{
Number
}
_
\p
{
Emoji_Presentation
}
]
+
/
gu
)
.
filter
(
term
=>
term
)
// remove remaining empty strings
}
/**
* Search Module
*/
const
Search
=
{
_index
:
null
,
_queued_query
:
null
,
_pulse_status
:
-
1
,
htmlToText
:
(
htmlString
)
=>
{
const
htmlElement
=
new
DOMParser
(
)
.
parseFromString
(
htmlString
,
'text/html'
)
;
htmlElement
.
querySelectorAll
(
".headerlink"
)
.
forEach
(
(
el
)
=>
{
el
.
remove
(
)
}
)
;
const
docContent
=
htmlElement
.
querySelector
(
'[role="main"]'
)
;
if
(
docContent
!==
undefined
)
return
docContent
.
textContent
;
console
.
warn
(
"Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template."
)
;
return
""
;
}
,
init
:
(
)
=>
{
const
query
=
new
URLSearchParams
(
window
.
location
.
search
)
.
get
(
"q"
)
;
document
.
querySelectorAll
(
'input[name="q"]'
)
.
forEach
(
(
el
)
=>
(
el
.
value
=
query
)
)
;
if
(
query
)
Search
.
performSearch
(
query
)
;
}
,
loadIndex
:
(
url
)
=>
(
document
.
body
.
appendChild
(
document
.
createElement
(
"script"
)
)
.
src
=
url
)
,
setIndex
:
(
index
)
=>
{
Search
.
_index
=
index
;
if
(
Search
.
_queued_query
!==
null
)
{
const
query
=
Search
.
_queued_query
;
Search
.
_queued_query
=
null
;
Search
.
query
(
query
)
;
}
}
,
hasIndex
:
(
)
=>
Search
.
_index
!==
null
,
deferQuery
:
(
query
)
=>
(
Search
.
_queued_query
=
query
)
,
stopPulse
:
(
)
=>
(
Search
.
_pulse_status
=
-
1
)
,
startPulse
:
(
)
=>
{
if
(
Search
.
_pulse_status
>=
0
)
return
;
const
pulse
=
(
)
=>
{
Search
.
_pulse_status
=
(
Search
.
_pulse_status
+
1
)
%
4
;
Search
.
dots
.
innerText
=
"."
.
repeat
(
Search
.
_pulse_status
)
;
if
(
Search
.
_pulse_status
>=
0
)
window
.
setTimeout
(
pulse
,
500
)
;
}
;
pulse
(
)
;
}
,
/**
* perform a search for something (or wait until index is loaded)
*/
performSearch
:
(
query
)
=>
{
// create the required interface elements
const
searchText
=
document
.
createElement
(
"h2"
)
;
searchText
.
textContent
=
_
(
"Searching"
)
;
const
searchSummary
=
document
.
createElement
(
"p"
)
;
searchSummary
.
classList
.
add
(
"search-summary"
)
;
searchSummary
.
innerText
=
""
;
const
searchList
=
document
.
createElement
(
"ul"
)
;
searchList
.
classList
.
add
(
"search"
)
;
const
out
=
document
.
getElementById
(
"search-results"
)
;
Search
.
title
=
out
.
appendChild
(
searchText
)
;
Search
.
dots
=
Search
.
title
.
appendChild
(
document
.
createElement
(
"span"
)
)
;
Search
.
status
=
out
.
appendChild
(
searchSummary
)
;
Search
.
output
=
out
.
appendChild
(
searchList
)
;
const
searchProgress
=
document
.
getElementById
(
"search-progress"
)
;
// Some themes don't use the search progress node
if
(
searchProgress
)
{
searchProgress
.
innerText
=
_
(
"Preparing search..."
)
;
}
Search
.
startPulse
(
)
;
// index already loaded, the browser was quick!
if
(
Search
.
hasIndex
(
)
)
Search
.
query
(
query
)
;
else
Search
.
deferQuery
(
query
)
;
}
,
/**
* execute search (requires search index to be loaded)
*/
query
:
(
query
)
=>
{
const
filenames
=
Search
.
_index
.
filenames
;
const
docNames
=
Search
.
_index
.
docnames
;
const
titles
=
Search
.
_index
.
titles
;
const
allTitles
=
Search
.
_index
.
alltitles
;
const
indexEntries
=
Search
.
_index
.
indexentries
;
// stem the search terms and add them to the correct list
const
stemmer
=
new
Stemmer
(
)
;
const
searchTerms
=
new
Set
(
)
;
const
excludedTerms
=
new
Set
(
)
;
const
highlightTerms
=
new
Set
(
)
;
const
objectTerms
=
new
Set
(
splitQuery
(
query
.
toLowerCase
(
)
.
trim
(
)
)
)
;
splitQuery
(
query
.
trim
(
)
)
.
forEach
(
(
queryTerm
)
=>
{
const
queryTermLower
=
queryTerm
.
toLowerCase
(
)
;
// maybe skip this "word"
// stopwords array is from language_data.js
if
(
stopwords
.
indexOf
(
queryTermLower
)
!==
-
1
||
queryTerm
.
match
(
/
^
\d
+
$
/
)
)
return
;
// stem the word
let
word
=
stemmer
.
stemWord
(
queryTermLower
)
;
// select the correct list
if
(
word
[
0
]
===
"-"
)
excludedTerms
.
add
(
word
.
substr
(
1
)
)
;
else
{
searchTerms
.
add
(
word
)
;
highlightTerms
.
add
(
queryTermLower
)
;
}
}
)
;
if
(
SPHINX_HIGHLIGHT_ENABLED
)
{
// set in sphinx_highlight.js
localStorage
.
setItem
(
"sphinx_highlight_terms"
,
[
...
highlightTerms
]
.
join
(
" "
)
)
}
// console.debug("SEARCH: searching for:");
// console.info("required: ", [...searchTerms]);
// console.info("excluded: ", [...excludedTerms]);
// array of [docname, title, anchor, descr, score, filename]
let
results
=
[
]
;
_removeChildren
(
document
.
getElementById
(
"search-progress"
)
)
;
const
queryLower
=
query
.
toLowerCase
(
)
;
for
(
const
[
title
,
foundTitles
]
of
Object
.
entries
(
allTitles
)
)
{
if
(
title
.
toLowerCase
(
)
.
includes
(
queryLower
)
&&
(
queryLower
.
length
>=
title
.
length
/
2
)
)
{
for
(
const
[
file
,
id
]
of
foundTitles
)
{
let
score
=
Math
.
round
(
100
*
queryLower
.
length
/
title
.
length
)
results
.
push
(
[
docNames
[
file
]
,
titles
[
file
]
!==
title
?
`
${
titles
[
file
]
}
>
${
title
}
`
:
title
,
id
!==
null
?
"#"
+
id
:
""
,
null
,
score
,
filenames
[
file
]
,
]
)
;
}
}
}
// search for explicit entries in index directives
for
(
const
[
entry
,
foundEntries
]
of
Object
.
entries
(
indexEntries
)
)
{
if
(
entry
.
includes
(
queryLower
)
&&
(
queryLower
.
length
>=
entry
.
length
/
2
)
)
{
for
(
const
[
file
,
id
]
of
foundEntries
)
{
let
score
=
Math
.
round
(
100
*
queryLower
.
length
/
entry
.
length
)
results
.
push
(
[
docNames
[
file
]
,
titles
[
file
]
,
id
?
"#"
+
id
:
""
,
null
,
score
,
filenames
[
file
]
,
]
)
;
}
}
}
// lookup as object
objectTerms
.
forEach
(
(
term
)
=>
results
.
push
(
...
Search
.
performObjectSearch
(
term
,
objectTerms
)
)
)
;
// lookup as search terms in fulltext
results
.
push
(
...
Search
.
performTermsSearch
(
searchTerms
,
excludedTerms
)
)
;
// let the scorer override scores with a custom scoring function
if
(
Scorer
.
score
)
results
.
forEach
(
(
item
)
=>
(
item
[
4
]
=
Scorer
.
score
(
item
)
)
)
;
// now sort the results by score (in opposite order of appearance, since the
// display function below uses pop() to retrieve items) and then
// alphabetically
results
.
sort
(
(
a
,
b
)
=>
{
const
leftScore
=
a
[
4
]
;
const
rightScore
=
b
[
4
]
;
if
(
leftScore
===
rightScore
)
{
// same score: sort alphabetically
const
leftTitle
=
a
[
1
]
.
toLowerCase
(
)
;
const
rightTitle
=
b
[
1
]
.
toLowerCase
(
)
;
if
(
leftTitle
===
rightTitle
)
return
0
;
return
leftTitle
>
rightTitle
?
-
1
:
1
;
// inverted is intentional
}
return
leftScore
>
rightScore
?
1
:
-
1
;
}
)
;
// remove duplicate search results
// note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
let
seen
=
new
Set
(
)
;
results
=
results
.
reverse
(
)
.
reduce
(
(
acc
,
result
)
=>
{
let
resultStr
=
result
.
slice
(
0
,
4
)
.
concat
(
[
result
[
5
]
]
)
.
map
(
v
=>
String
(
v
)
)
.
join
(
','
)
;
if
(
!
seen
.
has
(
resultStr
)
)
{
acc
.
push
(
result
)
;
seen
.
add
(
resultStr
)
;
}
return
acc
;
}
,
[
]
)
;
results
=
results
.
reverse
(
)
;
// for debugging
//Search.lastresults = results.slice(); // a copy
// console.info("search results:", Search.lastresults);
// print the results
_displayNextItem
(
results
,
results
.
length
,
searchTerms
,
highlightTerms
)
;
}
,
/**
* search for object names
*/
performObjectSearch
:
(
object
,
objectTerms
)
=>
{
const
filenames
=
Search
.
_index
.
filenames
;
const
docNames
=
Search
.
_index
.
docnames
;
const
objects
=
Search
.
_index
.
objects
;
const
objNames
=
Search
.
_index
.
objnames
;
const
titles
=
Search
.
_index
.
titles
;
const
results
=
[
]
;
const
objectSearchCallback
=
(
prefix
,
match
)
=>
{
const
name
=
match
[
4
]
const
fullname
=
(
prefix
?
prefix
+
"."
:
""
)
+
name
;
const
fullnameLower
=
fullname
.
toLowerCase
(
)
;
if
(
fullnameLower
.
indexOf
(
object
)
<
0
)
return
;
let
score
=
0
;
const
parts
=
fullnameLower
.
split
(
"."
)
;
// check for different match types: exact matches of full name or
// "last name" (i.e. last dotted part)
if
(
fullnameLower
===
object
||
parts
.
slice
(
-
1
)
[
0
]
===
object
)
score
+=
Scorer
.
objNameMatch
;
else
if
(
parts
.
slice
(
-
1
)
[
0
]
.
indexOf
(
object
)
>
-
1
)
score
+=
Scorer
.
objPartialMatch
;
// matches in last name
const
objName
=
objNames
[
match
[
1
]
]
[
2
]
;
const
title
=
titles
[
match
[
0
]
]
;
// If more than one term searched for, we require other words to be
// found in the name/title/description
const
otherTerms
=
new
Set
(
objectTerms
)
;
otherTerms
.
delete
(
object
)
;
if
(
otherTerms
.
size
>
0
)
{
const
haystack
=
`
${
prefix
}
${
name
}
${
objName
}
${
title
}
`
.
toLowerCase
(
)
;
if
(
[
...
otherTerms
]
.
some
(
(
otherTerm
)
=>
haystack
.
indexOf
(
otherTerm
)
<
0
)
)
return
;
}
let
anchor
=
match
[
3
]
;
if
(
anchor
===
""
)
anchor
=
fullname
;
else
if
(
anchor
===
"-"
)
anchor
=
objNames
[
match
[
1
]
]
[
1
]
+
"-"
+
fullname
;
const
descr
=
objName
+
_
(
", in "
)
+
title
;
// add custom score for some objects according to scorer
if
(
Scorer
.
objPrio
.
hasOwnProperty
(
match
[
2
]
)
)
score
+=
Scorer
.
objPrio
[
match
[
2
]
]
;
else
score
+=
Scorer
.
objPrioDefault
;
results
.
push
(
[
docNames
[
match
[
0
]
]
,
fullname
,
"#"
+
anchor
,
descr
,
score
,
filenames
[
match
[
0
]
]
,
]
)
;
}
;
Object
.
keys
(
objects
)
.
forEach
(
(
prefix
)
=>
objects
[
prefix
]
.
forEach
(
(
array
)
=>
objectSearchCallback
(
prefix
,
array
)
)
)
;
return
results
;
}
,
/**
* search for full-text terms in the index
*/
performTermsSearch
:
(
searchTerms
,
excludedTerms
)
=>
{
// prepare search
const
terms
=
Search
.
_index
.
terms
;
const
titleTerms
=
Search
.
_index
.
titleterms
;
const
filenames
=
Search
.
_index
.
filenames
;
const
docNames
=
Search
.
_index
.
docnames
;
const
titles
=
Search
.
_index
.
titles
;
const
scoreMap
=
new
Map
(
)
;
const
fileMap
=
new
Map
(
)
;
// perform the search on the required terms
searchTerms
.
forEach
(
(
word
)
=>
{
const
files
=
[
]
;
const
arr
=
[
{
files
:
terms
[
word
]
,
score
:
Scorer
.
term
}
,
{
files
:
titleTerms
[
word
]
,
score
:
Scorer
.
title
}
,
]
;
// add support for partial matches
if
(
word
.
length
>
2
)
{
const
escapedWord
=
_escapeRegExp
(
word
)
;
Object
.
keys
(
terms
)
.
forEach
(
(
term
)
=>
{
if
(
term
.
match
(
escapedWord
)
&&
!
terms
[
word
]
)
arr
.
push
(
{
files
:
terms
[
term
]
,
score
:
Scorer
.
partialTerm
}
)
;
}
)
;
Object
.
keys
(
titleTerms
)
.
forEach
(
(
term
)
=>
{
if
(
term
.
match
(
escapedWord
)
&&
!
titleTerms
[
word
]
)
arr
.
push
(
{
files
:
titleTerms
[
word
]
,
score
:
Scorer
.
partialTitle
}
)
;
}
)
;
}
// no match but word was a required one
if
(
arr
.
every
(
(
record
)
=>
record
.
files
===
undefined
)
)
return
;
// found search word in contents
arr
.
forEach
(
(
record
)
=>
{
if
(
record
.
files
===
undefined
)
return
;
let
recordFiles
=
record
.
files
;
if
(
recordFiles
.
length
===
undefined
)
recordFiles
=
[
recordFiles
]
;
files
.
push
(
...
recordFiles
)
;
// set score for the word in each file
recordFiles
.
forEach
(
(
file
)
=>
{
if
(
!
scoreMap
.
has
(
file
)
)
scoreMap
.
set
(
file
,
{
}
)
;
scoreMap
.
get
(
file
)
[
word
]
=
record
.
score
;
}
)
;
}
)
;
// create the mapping
files
.
forEach
(
(
file
)
=>
{
if
(
fileMap
.
has
(
file
)
&&
fileMap
.
get
(
file
)
.
indexOf
(
word
)
===
-
1
)
fileMap
.
get
(
file
)
.
push
(
word
)
;
else
fileMap
.
set
(
file
,
[
word
]
)
;
}
)
;
}
)
;
// now check if the files don't contain excluded terms
const
results
=
[
]
;
for
(
const
[
file
,
wordList
]
of
fileMap
)
{
// check if all requirements are matched
// as search terms with length < 3 are discarded
const
filteredTermCount
=
[
...
searchTerms
]
.
filter
(
(
term
)
=>
term
.
length
>
2
)
.
length
;
if
(
wordList
.
length
!==
searchTerms
.
size
&&
wordList
.
length
!==
filteredTermCount
)
continue
;
// ensure that none of the excluded terms is in the search result
if
(
[
...
excludedTerms
]
.
some
(
(
term
)
=>
terms
[
term
]
===
file
||
titleTerms
[
term
]
===
file
||
(
terms
[
term
]
||
[
]
)
.
includes
(
file
)
||
(
titleTerms
[
term
]
||
[
]
)
.
includes
(
file
)
)
)
break
;
// select one (max) score for the file.
const
score
=
Math
.
max
(
...
wordList
.
map
(
(
w
)
=>
scoreMap
.
get
(
file
)
[
w
]
)
)
;
// add result to the result list
results
.
push
(
[
docNames
[
file
]
,
titles
[
file
]
,
""
,
null
,
score
,
filenames
[
file
]
,
]
)
;
}
return
results
;
}
,
/**
* helper function to return a node containing the
* search summary for a given text. keywords is a list
* of stemmed words.
*/
makeSearchSummary
:
(
htmlText
,
keywords
)
=>
{
const
text
=
Search
.
htmlToText
(
htmlText
)
;
if
(
text
===
""
)
return
null
;
const
textLower
=
text
.
toLowerCase
(
)
;
const
actualStartPosition
=
[
...
keywords
]
.
map
(
(
k
)
=>
textLower
.
indexOf
(
k
.
toLowerCase
(
)
)
)
.
filter
(
(
i
)
=>
i
>
-
1
)
.
slice
(
-
1
)
[
0
]
;
const
startWithContext
=
Math
.
max
(
actualStartPosition
-
120
,
0
)
;
const
top
=
startWithContext
===
0
?
""
:
"..."
;
const
tail
=
startWithContext
+
240
<
text
.
length
?
"..."
:
""
;
let
summary
=
document
.
createElement
(
"p"
)
;
summary
.
classList
.
add
(
"context"
)
;
summary
.
textContent
=
top
+
text
.
substr
(
startWithContext
,
240
)
.
trim
(
)
+
tail
;
return
summary
;
}
,
}
;
_ready
(
Search
.
init
)
;
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