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  <title>P1967R11: #embed - a scannable, tooling-friendly binary resource inclusion mechanism</title>
<style data-fill-with="stylesheet">/******************************************************************************
 *                   Style sheet for the W3C specifications                   *
 *
 * Special classes handled by this style sheet include:
 *
 * Indices
 *   - .toc for the Table of Contents (<ol class="toc">)
 *     + <span class="secno"> for the section numbers
 *   - #toc for the Table of Contents (<nav id="toc">)
 *   - ul.index for Indices (<a href="#ref">term</a><span>, in § N.M</span>)
 *   - table.index for Index Tables (e.g. for properties or elements)
 *
 * Structural Markup
 *   - table.data for general data tables
 *     -> use 'scope' attribute, <colgroup>, <thead>, and <tbody> for best results !
 *     -> use <table class='complex data'> for extra-complex tables
 *     -> use <td class='long'> for paragraph-length cell content
 *     -> use <td class='pre'> when manual line breaks/indentation would help readability
 *   - dl.switch for switch statements
 *   - ol.algorithm for algorithms (helps to visualize nesting)
 *   - .figure and .caption (HTML4) and figure and figcaption (HTML5)
 *     -> .sidefigure for right-floated figures
 *   - ins/del
 *     -> ins/del.c### for candidate and proposed changes (amendments)
 *
 * Code
 *   - pre and code
 *
 * Special Sections
 *   - .note       for informative notes             (div, p, span, aside, details)
 *   - .example    for informative examples          (div, p, pre, span)
 *   - .issue      for issues                        (div, p, span)
 *   - .advisement for loud normative statements     (div, p, strong)
 *   - .annoying-warning for spec obsoletion notices (div, aside, details)
 *   - .correction for "candidate corrections"       (div, aside, details, section)
 *   - .addition   for "candidate additions"         (div, aside, details, section)
 *   - .correction.proposed for "proposed corrections" (div, aside, details, section)
 *   - .addition.proposed   for "proposed additions"   (div, aside, details, section)
 *
 * Definition Boxes
 *   - pre.def   for WebIDL definitions
 *   - table.def for tables that define other entities (e.g. CSS properties)
 *   - dl.def    for definition lists that define other entitles (e.g. HTML elements)
 *
 * Numbering
 *   - .secno for section numbers in .toc and headings (<span class='secno'>3.2</span>)
 *   - .marker for source-inserted example/figure/issue numbers (<span class='marker'>Issue 4</span>)
 *   - ::before styled for CSS-generated issue/example/figure numbers:
 *     -> Documents wishing to use this only need to add
 *        figcaption::before,
 *        .caption::before { content: "Figure "  counter(figure) " ";  }
 *        .example::before { content: "Example " counter(example) " "; }
 *        .issue::before   { content: "Issue "   counter(issue) " ";   }
 *
 * Header Stuff (ignore, just don't conflict with these classes)
 *   - .head for the header
 *   - .copyright for the copyright
 *
 * Outdated warning for old specs
 *
 * Miscellaneous
 *   - .overlarge for things that should be as wide as possible, even if
 *     that overflows the body text area. This can be used on an item or
 *     on its container, depending on the effect desired.
 *     Note that this styling basically doesn't help at all when printing,
 *     since A4 paper isn't much wider than the max-width here.
 *     It's better to design things to fit into a narrower measure if possible.
 *
 *   - js-added ToC jump links (see fixup.js)
 *
 ******************************************************************************/

/* color variables included separately for reliability */

/******************************************************************************/
/*                                    Body                                    */
/******************************************************************************/

	html {
	}

	body {
		counter-reset: example figure issue;

		/* Layout */
		max-width: 50em;			  /* limit line length to 50em for readability   */
		margin: 0 auto;				/* center text within page                    */
		padding: 1.6em 1.5em 2em 50px; /* assume 16px font size for downlevel clients */
		padding: 1.6em 1.5em 2em calc(26px + 1.5em); /* leave space for status flag    */

		/* Typography */
		line-height: 1.5;
		font-family: sans-serif;
		widows: 2;
		orphans: 2;
		word-wrap: break-word;
		overflow-wrap: break-word;
		hyphens: auto;

		color: black;
		color: var(--text);
		background: white top left fixed no-repeat;
		background: var(--bg) top left fixed no-repeat;
		background-size: 25px auto;
	}


/******************************************************************************/
/*                         Front Matter & Navigation                          */
/******************************************************************************/

/** Header ********************************************************************/

	div.head { margin-bottom: 1em; }
	div.head hr { border-style: solid; }

	div.head h1 {
		font-weight: bold;
		margin: 0 0 .1em;
		font-size: 220%;
	}

	div.head h2 { margin-bottom: 1.5em;}

/** W3C Logo ******************************************************************/

	.head .logo {
		float: right;
		margin: 0.4rem 0 0.2rem .4rem;
	}

	.head img[src*="logos/W3C"] {
		display: block;
		border: solid #1a5e9a;
		border: solid var(--logo-bg);
		border-width: .65rem .7rem .6rem;
		border-radius: .4rem;
		background: #1a5e9a;
		background: var(--logo-bg);
		color: white;
		color: var(--logo-text);
		font-weight: bold;
	}

	.head a:hover > img[src*="logos/W3C"],
	.head a:focus > img[src*="logos/W3C"] {
		opacity: .8;
	}

	.head a:active > img[src*="logos/W3C"] {
		background: #c00;
		background: var(--logo-active-bg);
		border-color: #c00;
		border-color: var(--logo-active-bg);
	}

	/* see also additional rules in Link Styling section */

/** Copyright *****************************************************************/

	p.copyright,
	p.copyright small { font-size: small; }

/** Back to Top / ToC Toggle **************************************************/

	@media print {
		#toc-nav {
			display: none;
		}
	}
	@media not print {
		#toc-nav {
			position: fixed;
			z-index: 3;
			bottom: 0; left: 0;
			margin: 0;
			min-width: 1.33em;
			border-top-right-radius: 2rem;
			box-shadow: 0 0 2px;
			font-size: 1.5em;
		}
		#toc-nav > a {
			display: block;
			white-space: nowrap;

			height: 1.33em;
			padding: .1em 0.3em;
			margin: 0;

			box-shadow: 0 0 2px;
			border: none;
			border-top-right-radius: 1.33em;

			color: #707070;
			color: var(--tocnav-normal-text);
			background: white;
			background: var(--tocnav-normal-bg);
		}
		#toc-nav > a:hover,
		#toc-nav > a:focus {
			color: black;
			color: var(--tocnav-hover-text);
			background: #f8f8f8;
			background: var(--tocnav-hover-bg);
		}
		#toc-nav > a:active {
			color: #c00;
			color: var(--tocnav-active-text);
			background: white;
			background: var(--tocnav-active-bg);
		}

		#toc-nav > #toc-jump {
			padding-bottom: 2em;
			margin-bottom: -1.9em;
		}

		/* statusbar gets in the way on keyboard focus; remove once browsers fix */
		#toc-nav > a[href="#toc"]:not(:hover):focus:last-child {
			padding-bottom: 1.5rem;
		}

		#toc-nav:not(:hover) > a:not(:focus) > span + span {
			/* Ideally this uses :focus-within on #toc-nav */
			display: none;
		}
		#toc-nav > a > span + span {
			padding-right: 0.2em;
		}
	}

/** ToC Sidebar ***************************************************************/

	/* Floating sidebar */
	@media screen {
		body.toc-sidebar #toc {
			position: fixed;
			top: 0; bottom: 0;
			left: 0;
			width: 23.5em;
			max-width: 80%;
			max-width: calc(100% - 2em - 26px);
			overflow: auto;
			padding: 0 1em;
			padding-left: 42px;
			padding-left: calc(1em + 26px);
			color: black;
			color: var(--tocsidebar-text);
			background: inherit;
			background-color: #f7f8f9;
			background-color: var(--tocsidebar-bg);
			z-index: 1;
			box-shadow: -.1em 0 .25em rgba(0,0,0,.1) inset;
			box-shadow: -.1em 0 .25em var(--tocsidebar-shadow) inset;
		}
		body.toc-sidebar #toc h2 {
			margin-top: .8rem;
			font-variant: small-caps;
			font-variant: all-small-caps;
			text-transform: lowercase;
			font-weight: bold;
			color: gray;
			color: hsla(203,20%,40%,.7);
			color: var(--tocsidebar-heading-text);
		}
		body.toc-sidebar #toc-jump:not(:focus) {
			width: 0;
			height: 0;
			padding: 0;
			position: absolute;
			overflow: hidden;
		}
	}
	/* Hide main scroller when only the ToC is visible anyway */
	@media screen and (max-width: 28em) {
		body.toc-sidebar {
			overflow: hidden;
		}
	}

	/* Sidebar with its own space */
	@media screen and (min-width: 78em) {
		body:not(.toc-inline) #toc {
			position: fixed;
			top: 0; bottom: 0;
			left: 0;
			width: 23.5em;
			overflow: auto;
			padding: 0 1em;
			padding-left: 42px;
			padding-left: calc(1em + 26px);
			color: black;
			color: var(--tocsidebar-text);
			background: inherit;
			background-color: #f7f8f9;
			background-color: var(--tocsidebar-bg);
			z-index: 1;
			box-shadow: -.1em 0 .25em rgba(0,0,0,.1) inset;
			box-shadow: -.1em 0 .25em var(--tocsidebar-shadow) inset;
		}
		body:not(.toc-inline) #toc h2 {
			margin-top: .8rem;
			font-variant: small-caps;
			font-variant: all-small-caps;
			text-transform: lowercase;
			font-weight: bold;
			color: gray;
			color: hsla(203,20%,40%,.7);
			color: var(--tocsidebar-heading-text);
		}

		body:not(.toc-inline) {
			padding-left: 29em;
		}
		/* See also Overflow section at the bottom */

		body:not(.toc-inline) #toc-jump:not(:focus) {
			width: 0;
			height: 0;
			padding: 0;
			position: absolute;
			overflow: hidden;
		}
	}
	@media screen and (min-width: 90em) {
		body:not(.toc-inline) {
			margin: 0 4em;
		}
	}

/******************************************************************************/
/*                                Sectioning                                  */
/******************************************************************************/

/** Headings ******************************************************************/

	h1, h2, h3, h4, h5, h6, dt {
		page-break-after: avoid;
		page-break-inside: avoid;
		font: 100% sans-serif;   /* Reset all font styling to clear out UA styles */
		font-family: inherit;	/* Inherit the font family. */
		line-height: 1.2;		/* Keep wrapped headings compact */
		hyphens: manual;		/* Hyphenated headings look weird */
	}

	h2, h3, h4, h5, h6 {
		margin-top: 3rem;
	}

	h1, h2, h3 {
		color: #005A9C;
		color: var(--heading-text);
	}

	h1 { font-size: 170%; }
	h2 { font-size: 140%; }
	h3 { font-size: 120%; }
	h4 { font-weight: bold; }
	h5 { font-style: italic; }
	h6 { font-variant: small-caps; }
	dt { font-weight: bold; }

/** Subheadings ***************************************************************/

	h1 + h2,
	#profile-and-date {
		/* #profile-and-date is a subtitle in an H2 under the H1 */
		margin-top: 0;
	}
	h2 + h3,
	h3 + h4,
	h4 + h5,
	h5 + h6 {
		margin-top: 1.2em; /* = 1 x line-height */
	}

/** Section divider ***********************************************************/

	:not(.head) > :not(.head) + hr {
		font-size: 1.5em;
		text-align: center;
		margin: 1em auto;
		height: auto;
		color: black;
		color: var(--hr-text);
		border: transparent solid 0;
		background: transparent;
	}
	:not(.head) > hr::before {
		content: "\2727\2003\2003\2727\2003\2003\2727";
	}

/******************************************************************************/
/*                            Paragraphs and Lists                            */
/******************************************************************************/

	p {
		margin: 1em 0;
	}

	dd > p:first-child,
	li > p:first-child {
		margin-top: 0;
	}

	ul, ol {
		margin-left: 0;
		padding-left: 2em;
	}

	li {
		margin: 0.25em 0 0.5em;
		padding: 0;
	}

	dl dd {
		margin: 0 0 .5em 2em;
	}

	.head dd + dd { /* compact for header */
		margin-top: -.5em;
	}

	/* Style for algorithms */
	ol.algorithm ol:not(.algorithm),
	.algorithm > ol ol:not(.algorithm) {
	border-left: 0.5em solid #DEF;
	border-left: 0.5em solid var(--algo-border);
	}

	/* Put nice boxes around each algorithm. */
	[data-algorithm]:not(.heading) {
	 padding: .5em;
	 border: thin solid #ddd;
	 border: thin solid var(--algo-border);
	 border-radius: .5em;
	 margin: .5em calc(-0.5em - 1px);
	}
	[data-algorithm]:not(.heading) > :first-child {
	 margin-top: 0;
	}
	[data-algorithm]:not(.heading) > :last-child {
	 margin-bottom: 0;
	}

	/* Style for switch/case <dl>s */
	dl.switch > dd > ol.only,
	dl.switch > dd > .only > ol {
	margin-left: 0;
	}
	dl.switch > dd > ol.algorithm,
	dl.switch > dd > .algorithm > ol {
	margin-left: -2em;
	}
	dl.switch {
	padding-left: 2em;
	}
	dl.switch > dt {
	text-indent: -1.5em;
	margin-top: 1em;
	}
	dl.switch > dt + dt {
	margin-top: 0;
	}
	dl.switch > dt::before {
	content: '\21AA';
	padding: 0 0.5em 0 0;
	display: inline-block;
	width: 1em;
	text-align: right;
	line-height: 0.5em;
	}

/** Terminology Markup ********************************************************/


/******************************************************************************/
/*                                 Inline Markup                              */
/******************************************************************************/

/** Terminology Markup ********************************************************/
	dfn   { /* Defining instance */
		font-weight: bolder;
	}
	a > i { /* Instance of term */
		font-style: normal;
	}
	dt dfn code, code.idl {
		font-size: inherit;
	}
	dfn var {
		font-style: normal;
	}

/** Change Marking ************************************************************/

	del {
		color: #aa0000;
		color: var(--del-text);
		background: transparent;
		background: var(--del-bg);
		text-decoration: line-through;
	}
	ins {
		color: #006100;
		color: var(--ins-text);
		background: transparent;
		background: var(--ins-bg);
		text-decoration: underline;
	}

	/* for amendments (candidate/proposed changes) */

	.amendment ins, .correction ins, .addition ins,
	ins[class^=c] {
		text-decoration-style: dotted;
	}
	.amendment del, .correction del, .addition del,
	del[class^=c] {
		text-decoration-style: dotted;
	}
	.amendment.proposed ins, .correction.proposed ins, .addition.proposed ins,
	ins[class^=c].proposed {
		text-decoration-style: double;
	}
	.amendment.proposed del, .correction.proposed del, .addition.proposed del,
	del[class^=c].proposed {
		text-decoration-style: double;
	}

/** Miscellaneous improvements to inline formatting ***************************/

	sup {
		vertical-align: super;
		font-size: 80%
	}

/******************************************************************************/
/*                                    Code                                    */
/******************************************************************************/

/** General monospace/pre rules ***********************************************/

	pre, code, samp {
		font-family: Menlo, Consolas, "DejaVu Sans Mono", Monaco, monospace;
		font-size: .9em;
		hyphens: none;
		text-transform: none;
		text-align: left;
		text-align: start;
		font-variant: normal;
		orphans: 3;
		widows: 3;
		page-break-before: avoid;
	}
	pre code,
	code code {
		font-size: 100%;
	}

	pre {
		margin-top: 1em;
		margin-bottom: 1em;
		overflow: auto;
	}

/** Inline Code fragments *****************************************************/

	/* Do something nice. */

/******************************************************************************/
/*                                    Links                                   */
/******************************************************************************/

/** General Hyperlinks ********************************************************/

	/* We hyperlink a lot, so make it less intrusive */
	a[href] {
		color: #034575;
		color: var(--a-normal-text);
		text-decoration: underline #707070;
		text-decoration: underline var(--a-normal-underline);
		text-decoration-skip-ink: none;
	}
	a:visited {
		color: #034575;
		color: var(--a-visited-text);
		text-decoration-color: #bbb;
		text-decoration-color: var(--a-visited-underline);
	}

	/* Indicate interaction with the link */
	a[href]:focus,
	a[href]:hover {
		text-decoration-thickness: 2px;
	}
	a[href]:active {
		color: #c00;
		color: var(--a-active-text);
		text-decoration-color: #c00;
		text-decoration-color: var(--a-active-underline);
	}

	/* Backout above styling for W3C logo */
	.head .logo,
	.head .logo a {
		border: none;
		text-decoration: none;
		background: transparent;
	}

/******************************************************************************/
/*                                    Images                                  */
/******************************************************************************/

	img {
		border-style: none;
	}

	img, svg {
		/* Intentionally not color-scheme aware. */
		background: white;
	}

	/* For autogen numbers, add
	  .caption::before, figcaption::before { content: "Figure " counter(figure) ". "; }
	*/

	figure, .figure, .sidefigure {
		page-break-inside: avoid;
		text-align: center;
		margin: 2.5em 0;
	}
	.figure img,	.sidefigure img,	figure img,
	.figure object, .sidefigure object, figure object {
		max-width: 100%;
		margin: auto;
		height: auto;
	}
	.figure pre, .sidefigure pre, figure pre {
		text-align: left;
		display: table;
		margin: 1em auto;
	}
	.figure table, figure table {
		margin: auto;
	}
	@media screen and (min-width: 20em) {
		.sidefigure {
			float: right;
			width: 50%;
			margin: 0 0 0.5em 0.5em;
		}
	}
	.caption, figcaption, caption {
		font-style: italic;
		font-size: 90%;
	}
	.caption::before, figcaption::before, figcaption > .marker {
		font-weight: bold;
	}
	.caption, figcaption {
		counter-increment: figure;
	}

	/* DL list is indented 2em, but figure inside it is not */
	dd > .figure, dd > figure { margin-left: -2em; }

/******************************************************************************/
/*                             Colored Boxes                                  */
/******************************************************************************/

	.issue, .note, .example, .assertion, .advisement, blockquote,
	.amendment, .correction, .addition {
		margin: 1em auto;
		padding: .5em;
		border: .5em;
		border-left-style: solid;
		page-break-inside: avoid;
	}
	span.issue, span.note {
		padding: .1em .5em .15em;
		border-right-style: solid;
	}

	blockquote > :first-child,
	.note  > p:first-child,
	.issue > p:first-child,
	.amendment > p:first-child,
	.correction > p:first-child,
	.addition > p:first-child {
		margin-top: 0;
	}
	blockquote > :last-child,
	.note  > p:last-child,
	.issue > p:last-child,
	.amendment > p:last-child,
	.correction > p:last-child,
	.addition > p:last-child {
		margin-bottom: 0;
	}


	.issue::before, .issue > .marker,
	.example::before, .example > .marker,
	.note::before, .note > .marker,
	details.note > summary > .marker,
	.amendment::before, .amendment > .marker,
	details.amendment > summary > .marker,
	.addition::before, .addition > .marker,
	addition.amendment > summary > .marker,
	.correction::before, .correction > .marker,
	correction.amendment > summary > .marker
	{
		text-transform: uppercase;
		padding-right: 1em;
	}

	.example::before, .example > .marker {
		display: block;
		padding-right: 0em;
	}

/** Blockquotes ***************************************************************/

	blockquote {
		border-color: silver;
		border-color: var(--blockquote-border);
		background: transparent;
		background: var(--blockquote-bg);
		color: currentcolor;
		color: var(--blockquote-text);
	}

/** Open issue ****************************************************************/

	.issue {
		border-color: #e05252;
		border-color: var(--issue-border);
		background: #fbe9e9;
		background: var(--issue-bg);
		color: black;
		color: var(--issue-text);
		counter-increment: issue;
		overflow: auto;
	}
	.issue::before, .issue > .marker {
		color: #831616;
		color: var(--issueheading-text);
	}
	/* Add .issue::before { content: "Issue " counter(issue) " "; } for autogen numbers,
	  or use class="marker" to mark up the issue number in source. */

/** Example *******************************************************************/

	.example {
		border-color: #e0cb52;
		border-color: var(--example-border);
		background: #fcfaee;
		background: var(--example-bg);
		color: black;
		color: var(--example-text);
		counter-increment: example;
		overflow: auto;
		clear: both;
	}
	.example::before, .example > .marker {
		color: #574b0f;
		color: var(--exampleheading-text);
	}
	/* Add .example::before { content: "Example " counter(example) " "; } for autogen numbers,
	  or use class="marker" to mark up the example number in source. */

/** Non-normative Note ********************************************************/

	.note {
		border-color: #52e052;
		border-color: var(--note-border);
		background: #e9fbe9;
		background: var(--note-bg);
		color: black;
		color: var(--note-text);
		overflow: auto;
	}

	.note::before, .note > .marker,
	details.note > summary {
		color: hsl(120, 70%, 30%);
		color: var(--noteheading-text);
	}
	/* Add .note::before { content: "Note "; } for autogen label,
	  or use class="marker" to mark up the label in source. */

	details.note[open] > summary {
		border-bottom: 1px silver solid;
		border-bottom: 1px var(--notesummary-underline) solid;
	}

/** Assertion Box *************************************************************/
	/*  for assertions in algorithms */

	.assertion {
		border-color: #AAA;
		border-color: var(--assertion-border);
		background: #EEE;
		background: var(--assertion-bg);
		color: black;
		color: var(--assertion-text);
	}

/** Advisement Box ************************************************************/
	/*  for attention-grabbing normative statements */

	.advisement {
		border-color: orange;
		border-color: var(--advisement-border);
		border-style: none solid;
		background: #fec;
		background: var(--advisement-bg);
		color: black;
		color: var(--advisement-text);
	}
	strong.advisement {
		display: block;
		text-align: center;
	}
	.advisement::before, .advisement > .marker {
		color: #b35f00;
		color: var(--advisementheading-text);
	}

/** Amendment Box *************************************************************/

	.amendment, .correction, .addition {
		border-color: #330099;
		border-color: var(--amendment-border);
		background: #F5F0FF;
		background: var(--amendment-bg);
		color: black;
		color: var(--amendment-text);
	}
	.amendment.proposed, .correction.proposed, .addition.proposed {
		border-style: solid;
		border-block-width: 0.25em;
	}
	.amendment::before, .amendment > .marker,
	details.amendment > summary::before, details.amendment > summary > .marker,
	.correction::before, .correction > .marker,
	details.correction > summary::before, details.correction > summary > .marker,
	.addition::before, .addition > .marker,
	details.addition > summary::before, details.addition > summary > .marker {
		color: #220066;
		color: var(--amendmentheading-text);
	}
	.amendment.proposed::before, .amendment.proposed > .marker,
	details.amendment.proposed > summary::before, details.amendment.proposed > summary > .marker,
	.correction.proposed::before, .correction.proposed > .marker,
	details.correction.proposed > summary::before, details.correction.proposed > summary > .marker,
	.addition.proposed::before, .addition.proposed > .marker,
	details.addition.proposed > summary::before, details.addition.proposed > summary > .marker {
		font-weight: bold;
	}

/** Spec Obsoletion Notice ****************************************************/
	/* obnoxious obsoletion notice for older/abandoned specs. */

	details {
		display: block;
	}
	summary {
		font-weight: bolder;
	}

	.annoying-warning:not(details),
	details.annoying-warning:not([open]) > summary,
	details.annoying-warning[open] {
		background: hsla(40,100%,50%,0.95);
		background: var(--warning-bg);
		color: black;
		color: var(--warning-text);
		padding: .75em 1em;
		border: red;
		border: var(--warning-border);
		border-style: solid none;
		box-shadow: 0 2px 8px black;
		text-align: center;
	}
	.annoying-warning :last-child {
		margin-bottom: 0;
	}

@media not print {
	details.annoying-warning[open] {
		position: fixed;
		left: 0;
		right: 0;
		bottom: 2em;
		z-index: 1000;
	}
}

	details.annoying-warning:not([open]) > summary {
		text-align: center;
	}

/** Entity Definition Boxes ***************************************************/

	.def {
		padding: .5em 1em;
		background: #def;
		background: var(--def-bg);
		margin: 1.2em 0;
		border-left: 0.5em solid #8ccbf2;
		border-left: 0.5em solid var(--def-border);
		color: black;
		color: var(--def-text);
	}

/******************************************************************************/
/*                                    Tables                                  */
/******************************************************************************/

	th, td {
		text-align: left;
		text-align: start;
	}

/** Property/Descriptor Definition Tables *************************************/

	table.def {
		/* inherits .def box styling, see above */
		width: 100%;
		border-spacing: 0;
	}

	table.def td,
	table.def th {
		padding: 0.5em;
		vertical-align: baseline;
		border-bottom: 1px solid #bbd7e9;
		border-bottom: 1px solid var(--defrow-border);
	}

	table.def > tbody > tr:last-child th,
	table.def > tbody > tr:last-child td {
		border-bottom: 0;
	}

	table.def th {
		font-style: italic;
		font-weight: normal;
		padding-left: 1em;
		width: 3em;
	}

	/* For when values are extra-complex and need formatting for readability */
	table td.pre {
		white-space: pre-wrap;
	}

	/* A footnote at the bottom of a def table */
	table.def td.footnote {
		padding-top: 0.6em;
	}
	table.def td.footnote::before {
		content: " ";
		display: block;
		height: 0.6em;
		width: 4em;
		border-top: thin solid;
	}

/** Data tables (and properly marked-up index tables) *************************/
	/*
		<table class="data"> highlights structural relationships in a table
		when correct markup is used (e.g. thead/tbody, th vs. td, scope attribute)

		Use class="complex data" for particularly complicated tables --
		(This will draw more lines: busier, but clearer.)

		Use class="long" on table cells with paragraph-like contents
		(This will adjust text alignment accordingly.)
		Alternately use class="longlastcol" on tables, to have the last column assume "long".
	*/

	table {
		word-wrap: normal;
		overflow-wrap: normal;
		hyphens: manual;
	}

	table.data,
	table.index {
		margin: 1em auto;
		border-collapse: collapse;
		border: hidden;
		width: 100%;
	}
	table.data caption,
	table.index caption {
		max-width: 50em;
		margin: 0 auto 1em;
	}

	table.data td,  table.data th,
	table.index td, table.index th {
		padding: 0.5em 1em;
		border-width: 1px;
		border-color: silver;
		border-color: var(--datacell-border);
		border-top-style: solid;
	}

	table.data thead td:empty {
		padding: 0;
		border: 0;
	}

	table.data  thead,
	table.index thead,
	table.data  tbody,
	table.index tbody {
		border-bottom: 2px solid;
	}

	table.data colgroup,
	table.index colgroup {
		border-left: 2px solid;
	}

	table.data  tbody th:first-child,
	table.index tbody th:first-child  {
		border-right: 2px solid;
		border-top: 1px solid silver;
		border-top: 1px solid var(--datacell-border);
		padding-right: 1em;
	}

	table.data th[colspan],
	table.data td[colspan] {
		text-align: center;
	}

	table.complex.data th,
	table.complex.data td {
		border: 1px solid silver;
		border: 1px solid var(--datacell-border);
		text-align: center;
	}

	table.data.longlastcol td:last-child,
	table.data td.long {
		vertical-align: baseline;
		text-align: left;
	}

	table.data img {
		vertical-align: middle;
	}


/*
Alternate table alignment rules

	table.data,
	table.index {
		text-align: center;
	}

	table.data  thead th[scope="row"],
	table.index thead th[scope="row"] {
		text-align: right;
	}

	table.data  tbody th:first-child,
	table.index tbody th:first-child  {
		text-align: right;
	}

Possible extra rowspan handling

	table.data  tbody th[rowspan]:not([rowspan='1']),
	table.index tbody th[rowspan]:not([rowspan='1']),
	table.data  tbody td[rowspan]:not([rowspan='1']),
	table.index tbody td[rowspan]:not([rowspan='1']) {
		border-left: 1px solid silver;
	}

	table.data  tbody th[rowspan]:first-child,
	table.index tbody th[rowspan]:first-child,
	table.data  tbody td[rowspan]:first-child,
	table.index tbody td[rowspan]:first-child{
		border-left: 0;
		border-right: 1px solid silver;
	}
*/

/******************************************************************************/
/*                                  Indices                                   */
/******************************************************************************/


/** Table of Contents *********************************************************/

	.toc a {
		/* More spacing; use padding to make it part of the click target. */
		padding: 0.1rem 1px 0;
		/* Larger, more consistently-sized click target */
		display: block;
		/* Switch to using border-bottom for underlines */
		text-decoration: none;
		border-bottom: 1px solid;
		/* Reverse color scheme */
		color: black;
		color: var(--toclink-text);
		border-color: #3980b5;
		border-color: var(--toclink-underline);
	}
	.toc a:visited {
		color: black;
		color: var(--toclink-visited-text);
		border-color: #054572;
		border-color: var(--toclink-visited-underline);
	}
	.toc a:focus,
	.toc a:hover {
		background: rgba(75%, 75%, 75%, .25);
		background: var(--a-hover-bg);
		border-bottom-width: 3px;
		margin-bottom: -2px;
	}
	.toc a:not(:focus):not(:hover) {
		/* Allow colors to cascade through from link styling */
		border-bottom-color: transparent;
	}

	.toc, .toc ol, .toc ul, .toc li {
		list-style: none; /* Numbers must be inlined into source */
		/* because generated content isn't search/selectable and markers can't do multilevel yet */
		margin:  0;
		padding: 0;
	}
	.toc {
		line-height: 1.1em;
	}

	/* ToC not indented until third level, but font style & margins show hierarchy */
	.toc > li			{ font-weight: bold;   }
	.toc > li li		 { font-weight: normal; }
	.toc > li li li	  { font-size:   95%;	}
	.toc > li li li li	{ font-size:   90%;	}
	.toc > li li li li li { font-size:   85%;	}

	/* @supports not (display:grid) { */
		.toc > li			{ margin: 1.5rem 0;	}
		.toc > li li		 { margin: 0.3rem 0;	}
		.toc > li li li	  { margin-left: 2rem;   }

		/* Section numbers in a column of their own */
		.toc .secno {
			float: left;
			width: 4rem;
			white-space: nowrap;
		}
		.toc > li li li li .secno { font-size: 85%; }
		.toc > li li li li li .secno { font-size: 100%; }

		.toc li {
			clear: both;
		}

		:not(li) > .toc			 { margin-left:  5rem; }
		.toc .secno				 { margin-left: -5rem; }
		.toc > li li li .secno	  { margin-left: -7rem; }
		.toc > li li li li .secno	{ margin-left: -9rem; }
		.toc > li li li li li .secno { margin-left: -11rem; }

		/* Tighten up indentation in narrow ToCs */
		@media (max-width: 30em) {
			:not(li) > .toc			 { margin-left:  4rem; }
			.toc .secno				 { margin-left: -4rem; }
			.toc > li li li			 { margin-left:  1rem; }
			.toc > li li li .secno	  { margin-left: -5rem; }
			.toc > li li li li .secno	{ margin-left: -6rem; }
			.toc > li li li li li .secno { margin-left: -7rem; }
		}
		/* Loosen it on wide screens */
		@media screen and (min-width: 78em) {
			body:not(.toc-inline) :not(li) > .toc			 { margin-left:  4rem; }
			body:not(.toc-inline) .toc .secno				 { margin-left: -4rem; }
			body:not(.toc-inline) .toc > li li li			 { margin-left:  1rem; }
			body:not(.toc-inline) .toc > li li li .secno	  { margin-left: -5rem; }
			body:not(.toc-inline) .toc > li li li li .secno	{ margin-left: -6rem; }
			body:not(.toc-inline) .toc > li li li li li .secno { margin-left: -7rem; }
	}
	/* } */

	@supports (display:grid) and (display:contents) {
		/* Use #toc over .toc to override non-@supports rules. */
		#toc {
			display: grid;
			align-content: start;
			grid-template-columns: auto 1fr;
			grid-column-gap: 1rem;
			column-gap: 1rem;
			grid-row-gap: .6rem;
			row-gap: .6rem;
		}
		#toc h2 {
			grid-column: 1 / -1;
			margin-bottom: 0;
		}
		#toc ol,
		#toc li,
		#toc a {
			display: contents;
			/* Switch <a> to subgrid when supported */
		}
		#toc span {
			margin: 0;
		}
		#toc > .toc > li > a > span {
			/* The spans of the top-level list,
			  comprising the first items of each top-level section. */
			margin-top: 1.1rem;
		}
		#toc#toc .secno { /* Ugh, need more specificity to override base.css */
			grid-column: 1;
			width: auto;
			margin-left: 0;
		}
		#toc .content {
			grid-column: 2;
			width: auto;
			margin-right: 1rem;
			border-bottom: 3px solid transparent;
			margin-bottom: -3px;
		}
		#toc .content:hover,
		#toc .content:focus {
			background: rgba(75%, 75%, 75%, .25);
			background: var(--a-hover-bg);
			border-bottom-color: #054572;
			border-bottom-color: var(--toclink-underline);
		}
		#toc li li li .content {
			margin-left: 1rem;
		}
		#toc li li li li .content {
			margin-left: 2rem;
		}
	}


/** Index *********************************************************************/

	/* Index Lists: Layout */
	ul.index	  { margin-left: 0; columns: 15em; text-indent: 1em hanging; }
	ul.index li	{ margin-left: 0; list-style: none; break-inside: avoid; }
	ul.index li li { margin-left: 1em; }
	ul.index dl	{ margin-top: 0; }
	ul.index dt	{ margin: .2em 0 .2em 20px;}
	ul.index dd	{ margin: .2em 0 .2em 40px;}
	/* Index Lists: Typography */
	ul.index ul,
	ul.index dl { font-size: smaller; }
	@media not print {
		ul.index li a + span {
			white-space: nowrap;
			color: transparent; }
		ul.index li a:hover + span,
		ul.index li a:focus + span {
			color: #707070;
			color: var(--indexinfo-text);
		}
	}

/** Index Tables *****************************************************/
	/* See also the data table styling section, which this effectively subclasses */

	table.index {
		font-size: small;
		border-collapse: collapse;
		border-spacing: 0;
		text-align: left;
		margin: 1em 0;
	}

	table.index td,
	table.index th {
		padding: 0.4em;
	}

	table.index tr:hover td:not([rowspan]),
	table.index tr:hover th:not([rowspan]) {
		color: black;
		color: var(--indextable-hover-text);
		background: #f7f8f9;
		background: var(--indextable-hover-bg);
	}

	/* The link in the first column in the property table (formerly a TD) */
	table.index th:first-child a {
		font-weight: bold;
	}

/** Outdated warning **********************************************************/

.outdated-spec {
	color: black;
	color: var(--outdatedspec-text);
	background-color: rgba(0,0,0,0.5);
	background-color: var(--outdatedspec-bg);
}

.outdated-warning {
	position: fixed;
	bottom: 50%;
	left: 0;
	right: 0;
	margin: 0 auto;
	width: 50%;
	background: maroon;
	background: var(--outdated-bg);
	color: white;
	color: var(--outdated-text);
	border-radius: 1em;
	box-shadow: 0 0 1em red;
	box-shadow: 0 0 1em var(--outdated-shadow);
	padding: 2em;
	text-align: center;
	z-index: 2;
}

.outdated-warning a {
	color: currentcolor;
	background: transparent;
}

.edited-rec-warning {
	background: darkorange;
	background: var(--editedrec-bg);
	box-shadow: 0 0 1em;
}

.outdated-warning button {
	color: var(--outdated-text);
	border-radius: 1em;
	box-shadow: 0 0 1em red;
	box-shadow: 0 0 1em var(--outdated-shadow);
	padding: 2em;
	text-align: center;
	z-index: 2;
}

.outdated-warning a {
	color: currentcolor;
	background: transparent;
}

.edited-rec-warning {
	background: darkorange;
	background: var(--editedrec-bg);
	box-shadow: 0 0 1em;
}

.outdated-warning button {
	position: absolute;
	top: 0;
	right:0;
	margin: 0;
	border: 0;
	padding: 0.25em 0.5em;
	background: transparent;
	color: white;
	color: var(--outdated-text);
	font:1em sans-serif;
	text-align:center;
}

.outdated-warning span {
	display: block;
}

.outdated-collapsed {
	bottom: 0;
	border-radius: 0;
	width: 100%;
	padding: 0;
}

/******************************************************************************/
/*                                    Print                                   */
/******************************************************************************/

	@media print {
		/* Pages have their own margins. */
		html {
			margin: 0;
		}
		/* Serif for print. */
		body {
			font-family: serif;
		}

		.outdated-warning {
			position: absolute;
			border-style: solid;
			border-color: red;
		}

		.outdated-warning input {
			display: none;
		}
	}
	@page {
		margin: 1.5cm 1.1cm;
	}



/******************************************************************************/
/*                             Overflow Control                               */
/******************************************************************************/

	.figure .caption, .sidefigure .caption, figcaption {
		/* in case figure is overlarge, limit caption to 50em */
		max-width: 50rem;
		margin-left: auto;
		margin-right: auto;
	}
	.overlarge {
		/* Magic to create good item positioning:
		  "content column" is 50ems wide at max; less on smaller screens.
		  Extra space (after ToC + content) is empty on the right.

		  1. When item < content column, centers item in column.
		  2. When content < item < available, left-aligns.
		  3. When item > available, fills available + scroll bar.
		*/
		display: grid;
		grid-template-columns: minmax(0, 50em);
	}
	.overlarge > table {
		/* limit preferred width of table */
		max-width: 50em;
		margin-left: auto;
		margin-right: auto;
	}

	@media (min-width: 55em) {
		.overlarge {
			margin-right: calc(13px + 26.5rem - 50vw);
			max-width: none;
		}
	}
	@media screen and (min-width: 78em) {
		body:not(.toc-inline) .overlarge {
			/* 30.5em body padding 50em content area */
			margin-right: calc(40em - 50vw) !important;
		}
	}
	@media screen and (min-width: 90em) {
		body:not(.toc-inline) .overlarge {
			/* 4em html margin 30.5em body padding 50em content area */
			margin-right: calc(84.5em - 100vw) !important;
		}
	}

	@media not print {
		.overlarge {
			overflow-x: auto;
			/* See Lea Verou's explanation background-attachment:
			* http://lea.verou.me/2012/04/background-attachment-local/
			*
			background: top left  / 4em 100% linear-gradient(to right,  #ffffff, rgba(255, 255, 255, 0)) local,
						top right / 4em 100% linear-gradient(to left, #ffffff, rgba(255, 255, 255, 0)) local,
						top left  / 1em 100% linear-gradient(to right,  #c3c3c5, rgba(195, 195, 197, 0)) scroll,
						top right / 1em 100% linear-gradient(to left, #c3c3c5, rgba(195, 195, 197, 0)) scroll,
						white;
			background-repeat: no-repeat;
			*/
		}
	}
</style>
<style>
    table, th, td {
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      border-collapse: collapse;
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    th, td {
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      padding: 0px 10px;
    }
    th {
      text-align: center;
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    del { background: #fcc; color: #000; text-decoration: line-through; }
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    blockquote ul { background: inherit; }
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    blockquote c-[sd] { color: inherit; } /* Literal.String.Doc */
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    blockquote c-[sh] { color: inherit; } /* Literal.String.Heredoc */
    blockquote c-[si] { color: inherit; } /* Literal.String.Interpol */
    blockquote c-[sx] { color: inherit; } /* Literal.String.Other */
    blockquote c-[sr] { color: inherit; } /* Literal.String.Regex */
    blockquote c-[ss] { color: inherit; } /* Literal.String.Symbol */
    blockquote c-[vc] { color: inherit; } /* Name.Variable.Class */
    blockquote c-[vg] { color: inherit; } /* Name.Variable.Global */
    blockquote c-[vi] { color: inherit; } /* Name.Variable.Instance */
    blockquote c-[il] { color: inherit; } /* Literal.Number.Integer.Long */
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:root {
	/* Default (light) theme */
	--del-text-color: rgb(255, 25, 25);
	--del-text-decoration-color: rgba(180, 6, 6, 0.5);
	--del-text-background-color: rgba(255, 175, 175, 0.5);
	--ins-text-color: rgb(10, 180, 35);
	--ins-text-decoration-color: rgba(10, 180, 35, 0.5);
	--ins-text-background-color: rgba(175, 250, 190, 0.5);
	--diff-ins-text-color: rgb(0, 238, 255);
	--diff-ins-text-decoration-color: rgba(99, 0, 129, 0.5);
	--diff-ins-text-background-color: rgba(175, 222, 250, 0.5);
	--diff-del-text-color: rgb(225, 148, 255);
	--diff-del-text-decoration-color: rgba(99, 0, 129, 0.5);
	--diff-del-text-background-color: rgba(244, 175, 250, 0.5);
}

/* dark theme */
@media (prefers-color-scheme: dark) {
	:root {
		--del-text-color: rgb(255, 52, 52);
		--del-text-decoration-color: rgba(82, 25, 25, 0.5);
		--del-text-background-color: rgba(82, 25, 25, 0.5);
		--ins-text-color: rgb(140, 255, 140);
		--ins-text-decoration-color: rgba(140, 255, 140, 0.5);
		--ins-text-background-color: rgba(25, 82, 25, 0.5);
		--diff-ins-text-color: rgb(91, 250, 255);
		--diff-ins-text-decoration-color: rgba(91, 250, 255, 0.5);
		--diff-ins-text-background-color: rgba(0, 56, 94, 0.5);
		--diff-del-text-color: rgb(244, 175, 250);
		--diff-del-text-decoration-color: rgba(244, 175, 250, 0.5);
		--diff-del-text-background-color: rgba(152, 0, 199, 0.5);
	}
}

@media print {
	.pagebreak { break-after: always }
}

.tg  {
	border-collapse: collapse;
	border-spacing:0;
}

.tg td{
	padding:10px 10px;
	border-style: solid;
	border-width:1px;
	overflow: hidden;
	word-break: normal;
	border-color: var(--table-border-color, inherit);
}
.tg th{
	font-weight: normal;
	padding: 10px 10px;
	border-style: solid;
	border-width: 1px;
	overflow: hidden;
	word-break: normal;
	border-color: black;
}
.tg .tg-c3ow { 
	border-color: inherit;
	text-align: center;
	vertical-align: top
}

.ins, ins, ins p, ins div, span.ins, span.ins * {
	background-color: var(--ins-text-background-color);
	background: var(--ins-text-background-color);
	color: var(--ins-text-color);
	text-decoration: underline;
	text-decoration-color: var(--ins-text-decoration-color);
}

.diff-ins, diff-ins, diff-ins p, diff-ins div, span.diff-ins, span.diff-ins * {
	background-color: var(--diff-ins-text-background-color);
	background: var(--diff-ins-text-background-color);
	color: var(--diff-ins-text-color);
	text-decoration: underline double;
	text-decoration-color: var(--diff-ins-text-decoration-color);
}

.del, del, del p, del div, span.del, span.del * {
	background-color: var(--del-text-background-color);
	background: var(--del-text-background-color);
	color: var(--del-text-color);
	text-decoration: line-through;
	text-decoration-color: var(--del-text-decoration-color);
}

.diff-del, diff-del, diff-del p, diff-del div, span.diff-del, span.diff-del * {
	background-color: var(--diff-del-text-background-color);
	background: var(--diff-del-text-background-color);
	color: var(--diff-del-text-color);
	text-decoration: line-through double;
	text-decoration-color: var(--diff-del-text-decoration-color);
}

code.c-kw {
	font-weight: bold;
}

math, span.math {
	font-family: serif;
	font-style: italic;
}

ul {
	list-style-type: "— ";
}

.wording-clause {
	counter-reset: wording-paragraph;
}

.wording-clause-header {
	font-size: 115%;
	display: block;
	padding-bottom: 1em;
	clear: both;
}

.wording-clause-number {
	font-weight: bold;
}

.wording-clause-title {
	font-weight: bold;
	margin: 2em;
}

.wording-clause-stable-tag {
	float: right;
}

.wording-clause-section-title {
	font-size: 105%;
	font-weight: bold;
}

.clause-stable-tag {
	float: right;
}

.footnote-ref {
	font-size: 75%;
	vertical-align: super;
}

.footnote {
	font-size: 75%;
	vertical-align: bottom;
}

div.wording-section {
	counter-reset: wording-paragraph;
}

div.wording-numbered, div.wording-newnumbered {
	margin-left: 2.5em;
	margin-top: 1em;
	margin-bottom: 1em;
}

div.wording-numbered:before, div.wording-newnumbered:before {
	position: absolute;
	margin-left: -2.5em;
	display: block;
}

div.wording-numbered:before {
	content: counter(wording-paragraph);
	counter-increment: wording-paragraph;
	font-size: smaller;
}

div.wording-newnumbered:before {
	content: counter(wording-paragraph)"✨";
	counter-increment: wording-paragraph;
	font-size: smaller;
}

div.wording-numbered-list ul, div.wording-newnumbered ul {
	counter-reset: wording-list-item;
}

div.wording-numbered-list li, div.wording-newnumbered li {
	margin-left: 4em;
}

div.wording-numbered-list li:before, div.wording-newnumbered li:before {
	position: absolute;
	margin-left: -4em;
	display: block;
}

div.wording-numbered-list li:before {
	font-size: smaller;
	content: "(" counter(wording-paragraph) "." counter(wording-list-item) ")";
	counter-increment: wording-list-item;
}

div.wording-newnumbered-list li:before {
	content: "(✨" counter(wording-paragraph) "." counter(wording-list-item) ")";
	counter-increment: wording-list-item;
}

div.wording-numbered-0 {
	counter-reset: wording-paragraph -1;
}

div.wording-numbered-1 {
	counter-reset: wording-paragraph 0;
}

div.wording-numbered-2 {
	counter-reset: wording-paragraph 1;
}

div.wording-numbered-3 {
	counter-reset: wording-paragraph 2;
}

div.wording-numbered-4 {
	counter-reset: wording-paragraph 3;
}

div.wording-numbered-5 {
	counter-reset: wording-paragraph 4;
}

div.wording-numbered-6 {
	counter-reset: wording-paragraph 5;
}

div.wording-numbered-7 {
	counter-reset: wording-paragraph 6;
}

div.wording-numbered-8 {
	counter-reset: wording-paragraph 7;
}

div.wording-numbered-9 {
	counter-reset: wording-paragraph 8;
}

div.wording-numbered-10 {
	counter-reset: wording-paragraph 9;
}

div.wording-numbered-11 {
	counter-reset: wording-paragraph 10;
}

div.wording-numbered-12 {
	counter-reset: wording-paragraph 11;
}

div.wording-numbered-13 {
	counter-reset: wording-paragraph 12;
}

div.wording-numbered-14 {
	counter-reset: wording-paragraph 13;
}

div.wording-numbered-15 {
	counter-reset: wording-paragraph 14;
}

div.wording-numbered-16 {
	counter-reset: wording-paragraph 15;
}

div.wording-numbered-17 {
	counter-reset: wording-paragraph 16;
}

div.wording-numbered-18 {
	counter-reset: wording-paragraph 17;
}

div.wording-numbered-19 {
	counter-reset: wording-paragraph 18;
}

div.wording-numbered-20 {
	counter-reset: wording-paragraph 19;
}
</style>
<style>
@media (prefers-color-scheme: dark) {
	:root {
		--bg-color: rgba(0, 0, 0, 0);
	}

	ins { background: rgba(0, 20, 0); color: rgba(115, 255, 110); }
	del { background: rgba(20, 0, 0); color: rgb(255, 124, 124); text-decoration: line-through; }
	recent-ins { background: rgba(0, 20, 0); color: rgba(80, 80, 255); }
	recent-del { background: rgba(20, 0, 0); color: rgb(255, 156, 56); text-decoration: line-through; }
	blockquote .highlight:not(.idl) { padding: 0.5em }
	blockquote ins .highlight:not(.idl) { background: rgba( 0, 20, 0); }
	blockquote del .highlight:not(.idl) { background: rgba(20,  0, 0); }
	blockquote code.highlight:not(.idl) { background: inherit; padding: initial; }

	c-[a] { color: #e783b4 } /* Keyword.Declaration */
	c-[b] { color: #e783b4 } /* Keyword.Type */
	c-[c] { color: #6ad4cc } /* Comment */
	c-[d] { color: #6ad4cc } /* Comment.Multiline */
	c-[e] { color: #92cbf5 } /* Name.Attribute */
	c-[f] { color: #b58900 } /* Name.Tag */
	c-[g] { color: #cb4b16 } /* Name.Variable */
	c-[k] { color: #e783b4 } /* Keyword */
	c-[l] { color: #a2b1b6 } /* Literal */
	c-[m] { color: #a2b1b6 } /* Literal.Number */
	c-[n] { color: #92cbf5 } /* Name */
	c-[o] { color: #a2b1b6 } /* Operator */
	c-[p] { color: #a2b1b6 } /* Punctuation */
	c-[s] { color: #a0a3e5 } /* Literal.String */
	c-[t] { color: #a0a3e5 } /* Literal.String.Single */
	c-[u] { color: #a0a3e5 } /* Literal.String.Double */
	c-[ch] { color: #6ad4cc } /* Comment.Hashbang */
	c-[cp] { color: #6ad4cc } /* Comment.Preproc */
	c-[cpf] { color: #6ad4cc } /* Comment.PreprocFile */
	c-[c1] { color: #6ad4cc } /* Comment.Single */
	c-[cs] { color: #6ad4cc } /* Comment.Special */
	c-[kc] { color: #e783b4 } /* Keyword.Constant */
	c-[kn] { color: #e783b4 } /* Keyword.Namespace */
	c-[kp] { color: #e783b4 } /* Keyword.Pseudo */
	c-[kr] { color: #e783b4 } /* Keyword.Reserved */
	c-[ld] { color: #a2b1b6 } /* Literal.Date */
	c-[nc] { color: #92cbf5 } /* Name.Class */
	c-[no] { color: #92cbf5 } /* Name.Constant */
	c-[nd] { color: #92cbf5 } /* Name.Decorator */
	c-[ni] { color: #92cbf5 } /* Name.Entity */
	c-[ne] { color: #92cbf5 } /* Name.Exception */
	c-[nf] { color: #92cbf5 } /* Name.Function */
	c-[nl] { color: #92cbf5 } /* Name.Label */
	c-[nn] { color: #92cbf5 } /* Name.Namespace */
	c-[py] { color: #92cbf5 } /* Name.Property */
	c-[ow] { color: #a2b1b6 } /* Operator.Word */
	c-[mb] { color: #a2b1b6 } /* Literal.Number.Bin */
	c-[mf] { color: #a2b1b6 } /* Literal.Number.Float */
	c-[mh] { color: #a2b1b6 } /* Literal.Number.Hex */
	c-[mi] { color: #a2b1b6 } /* Literal.Number.Integer */
	c-[mo] { color: #a2b1b6 } /* Literal.Number.Oct */
	c-[sa] { color: #a0a3e5 } /* Literal.String.Affix */
	c-[sb] { color: #a0a3e5 } /* Literal.String.Backtick */
	c-[sc] { color: #a0a3e5 } /* Literal.String.Char */
	c-[dl] { color: #a0a3e5 } /* Literal.String.Delimiter */
	c-[sd] { color: #a0a3e5 } /* Literal.String.Doc */
	c-[se] { color: #a0a3e5 } /* Literal.String.Escape */
	c-[sh] { color: #a0a3e5 } /* Literal.String.Heredoc */
	c-[si] { color: #a0a3e5 } /* Literal.String.Interpol */
	c-[sx] { color: #a0a3e5 } /* Literal.String.Other */
	c-[sr] { color: #a0a3e5 } /* Literal.String.Regex */
	c-[ss] { color: #a0a3e5 } /* Literal.String.Symbol */
	c-[fm] { color: #92cbf5 } /* Name.Function.Magic */
	c-[vc] { color: #cb4b16 } /* Name.Variable.Class */
	c-[vg] { color: #cb4b16 } /* Name.Variable.Global */
	c-[vi] { color: #cb4b16 } /* Name.Variable.Instance */
	c-[vm] { color: #cb4b16 } /* Name.Variable.Magic */
	c-[il] { color: #a2b1b6 } /* Literal.Number.Integer.Long */

	blockquote c-[b] { color: #e783b4 } /* Keyword.Type */
	blockquote c-[a] { color: #e783b4 } /* Keyword.Declaration */
	blockquote c-[c] { color: #6ad4cc } /* Comment */
	blockquote c-[d] { color: #6ad4cc } /* Comment.Multiline */
	blockquote c-[e] { color: #92cbf5 } /* Name.Attribute */
	blockquote c-[f] { color: #b58900 } /* Name.Tag */
	blockquote c-[g] { color: #cb4b16 } /* Name.Variable */
	blockquote c-[k] { color: #e783b4 } /* Keyword */
	blockquote c-[l] { color: #a2b1b6 } /* Literal */
	blockquote c-[m] { color: #a2b1b6 } /* Literal.Number */
	blockquote c-[n] { color: #92cbf5 } /* Name */
	blockquote c-[o] { color: #a2b1b6 } /* Operator */
	blockquote c-[p] { color: #a2b1b6 } /* Punctuation */
	blockquote c-[s] { color: #a0a3e5 } /* Literal.String */
	blockquote c-[t] { color: #a0a3e5 } /* Literal.String.Single */
	blockquote c-[u] { color: #a0a3e5 } /* Literal.String.Double */
	blockquote c-[ch] { color: #6ad4cc } /* Comment.Hashbang */
	blockquote c-[cp] { color: #6ad4cc } /* Comment.Preproc */
	blockquote c-[cpf] { color: #6ad4cc } /* Comment.PreprocFile */
	blockquote c-[c1] { color: #6ad4cc } /* Comment.Single */
	blockquote c-[cs] { color: #6ad4cc } /* Comment.Special */
	blockquote c-[kc] { color: #e783b4 } /* Keyword.Constant */
	blockquote c-[kn] { color: #e783b4 } /* Keyword.Namespace */
	blockquote c-[kp] { color: #e783b4 } /* Keyword.Pseudo */
	blockquote c-[kr] { color: #e783b4 } /* Keyword.Reserved */
	blockquote c-[ld] { color: #a2b1b6 } /* Literal.Date */
	blockquote c-[nc] { color: #92cbf5 } /* Name.Class */
	blockquote c-[no] { color: #92cbf5 } /* Name.Constant */
	blockquote c-[nd] { color: #92cbf5 } /* Name.Decorator */
	blockquote c-[ni] { color: #92cbf5 } /* Name.Entity */
	blockquote c-[ne] { color: #92cbf5 } /* Name.Exception */
	blockquote c-[nf] { color: #92cbf5 } /* Name.Function */
	blockquote c-[nl] { color: #92cbf5 } /* Name.Label */
	blockquote c-[nn] { color: #92cbf5 } /* Name.Namespace */
	blockquote c-[py] { color: #92cbf5 } /* Name.Property */
	blockquote c-[ow] { color: #a2b1b6 } /* Operator.Word */
	blockquote c-[mb] { color: #a2b1b6 } /* Literal.Number.Bin */
	blockquote c-[mf] { color: #a2b1b6 } /* Literal.Number.Float */
	blockquote c-[mh] { color: #a2b1b6 } /* Literal.Number.Hex */
	blockquote c-[mi] { color: #a2b1b6 } /* Literal.Number.Integer */
	blockquote c-[mo] { color: #a2b1b6 } /* Literal.Number.Oct */
	blockquote c-[sa] { color: #a0a3e5 } /* Literal.String.Affix */
	blockquote c-[sb] { color: #a0a3e5 } /* Literal.String.Backtick */
	blockquote c-[sc] { color: #a0a3e5 } /* Literal.String.Char */
	blockquote c-[dl] { color: #a0a3e5 } /* Literal.String.Delimiter */
	blockquote c-[sd] { color: #a0a3e5 } /* Literal.String.Doc */
	blockquote c-[se] { color: #a0a3e5 } /* Literal.String.Escape */
	blockquote c-[sh] { color: #a0a3e5 } /* Literal.String.Heredoc */
	blockquote c-[si] { color: #a0a3e5 } /* Literal.String.Interpol */
	blockquote c-[sx] { color: #a0a3e5 } /* Literal.String.Other */
	blockquote c-[sr] { color: #a0a3e5 } /* Literal.String.Regex */
	blockquote c-[ss] { color: #a0a3e5 } /* Literal.String.Symbol */
	blockquote c-[fm] { color: #92cbf5 } /* Name.Function.Magic */
	blockquote c-[vc] { color: #cb4b16 } /* Name.Variable.Class */
	blockquote c-[vg] { color: #cb4b16 } /* Name.Variable.Global */
	blockquote c-[vi] { color: #cb4b16 } /* Name.Variable.Instance */
	blockquote c-[vm] { color: #cb4b16 } /* Name.Variable.Magic */
	blockquote c-[il] { color: #a2b1b6 } /* Literal.Number.Integer.Long */
}

@media (prefers-color-scheme: light) {
	:root {
		--bg-color: rgba(255, 255, 255, 0);
	}
	ins { background: rgba(200, 255, 200); color: rgba(0, 20, 0); }
	del { background: rgba(255, 200, 200); color: rgb(20, 0, 0); text-decoration: line-through; }
	blockquote .highlight:not(.idl) { padding: 0.5em }
	blockquote ins .highlight:not(.idl) { background: rgba(200, 255, 200); }
	blockquote del .highlight:not(.idl) { background: rgba(255, 200, 200); }
	blockquote code.highlight:not(.idl) { background: inherit; padding: initial; }
}
</style>
<style>/* Boilerplate: style-autolinks */
.css.css, .property.property, .descriptor.descriptor {
    color: var(--a-normal-text);
    font-size: inherit;
    font-family: inherit;
}
.css::before, .property::before, .descriptor::before {
    content: "‘";
}
.css::after, .property::after, .descriptor::after {
    content: "’";
}
.property, .descriptor {
    /* Don't wrap property and descriptor names */
    white-space: nowrap;
}
.type { /* CSS value <type> */
    font-style: italic;
}
pre .property::before, pre .property::after {
    content: "";
}
[data-link-type="property"]::before,
[data-link-type="propdesc"]::before,
[data-link-type="descriptor"]::before,
[data-link-type="value"]::before,
[data-link-type="function"]::before,
[data-link-type="at-rule"]::before,
[data-link-type="selector"]::before,
[data-link-type="maybe"]::before {
    content: "‘";
}
[data-link-type="property"]::after,
[data-link-type="propdesc"]::after,
[data-link-type="descriptor"]::after,
[data-link-type="value"]::after,
[data-link-type="function"]::after,
[data-link-type="at-rule"]::after,
[data-link-type="selector"]::after,
[data-link-type="maybe"]::after {
    content: "’";
}

[data-link-type].production::before,
[data-link-type].production::after,
.prod [data-link-type]::before,
.prod [data-link-type]::after {
    content: "";
}

[data-link-type=element],
[data-link-type=element-attr] {
    font-family: Menlo, Consolas, "DejaVu Sans Mono", monospace;
    font-size: .9em;
}
[data-link-type=element]::before { content: "<" }
[data-link-type=element]::after  { content: ">" }

[data-link-type=biblio] {
    white-space: pre;
}

@media (prefers-color-scheme: dark) {
    :root {
        --selflink-text: black;
        --selflink-bg: silver;
        --selflink-hover-text: white;
    }
}
</style>
<style>/* Boilerplate: style-colors */

/* Any --*-text not paired with a --*-bg is assumed to have a transparent bg */
:root {
    color-scheme: light dark;

    --text: black;
    --bg: white;

    --unofficial-watermark: url(https://www.w3.org/StyleSheets/TR/2016/logos/UD-watermark);

    --logo-bg: #1a5e9a;
    --logo-active-bg: #c00;
    --logo-text: white;

    --tocnav-normal-text: #707070;
    --tocnav-normal-bg: var(--bg);
    --tocnav-hover-text: var(--tocnav-normal-text);
    --tocnav-hover-bg: #f8f8f8;
    --tocnav-active-text: #c00;
    --tocnav-active-bg: var(--tocnav-normal-bg);

    --tocsidebar-text: var(--text);
    --tocsidebar-bg: #f7f8f9;
    --tocsidebar-shadow: rgba(0,0,0,.1);
    --tocsidebar-heading-text: hsla(203,20%,40%,.7);

    --toclink-text: var(--text);
    --toclink-underline: #3980b5;
    --toclink-visited-text: var(--toclink-text);
    --toclink-visited-underline: #054572;

    --heading-text: #005a9c;

    --hr-text: var(--text);

    --algo-border: #def;

    --del-text: red;
    --del-bg: transparent;
    --ins-text: #080;
    --ins-bg: transparent;

    --a-normal-text: #034575;
    --a-normal-underline: #bbb;
    --a-visited-text: var(--a-normal-text);
    --a-visited-underline: #707070;
    --a-hover-bg: rgba(75%, 75%, 75%, .25);
    --a-active-text: #c00;
    --a-active-underline: #c00;

    --blockquote-border: silver;
    --blockquote-bg: transparent;
    --blockquote-text: currentcolor;

    --issue-border: #e05252;
    --issue-bg: #fbe9e9;
    --issue-text: var(--text);
    --issueheading-text: #831616;

    --example-border: #e0cb52;
    --example-bg: #fcfaee;
    --example-text: var(--text);
    --exampleheading-text: #574b0f;

    --note-border: #52e052;
    --note-bg: #e9fbe9;
    --note-text: var(--text);
    --noteheading-text: hsl(120, 70%, 30%);
    --notesummary-underline: silver;

    --assertion-border: #aaa;
    --assertion-bg: #eee;
    --assertion-text: black;

    --advisement-border: orange;
    --advisement-bg: #fec;
    --advisement-text: var(--text);
    --advisementheading-text: #b35f00;

    --warning-border: red;
    --warning-bg: hsla(40,100%,50%,0.95);
    --warning-text: var(--text);

    --amendment-border: #330099;
    --amendment-bg: #F5F0FF;
    --amendment-text: var(--text);
    --amendmentheading-text: #220066;

    --def-border: #8ccbf2;
    --def-bg: #def;
    --def-text: var(--text);
    --defrow-border: #bbd7e9;

    --datacell-border: silver;

    --indexinfo-text: #707070;

    --indextable-hover-text: black;
    --indextable-hover-bg: #f7f8f9;

    --outdatedspec-bg: rgba(0, 0, 0, .5);
    --outdatedspec-text: black;
    --outdated-bg: maroon;
    --outdated-text: white;
    --outdated-shadow: red;

    --editedrec-bg: darkorange;
}

@media (prefers-color-scheme: dark) {
    :root {
        --text: #ddd;
        --bg: black;

        --unofficial-watermark: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='400' height='400'%3E%3Cg fill='%23100808' transform='translate(200 200) rotate(-45) translate(-200 -200)' stroke='%23100808' stroke-width='3'%3E%3Ctext x='50%25' y='220' style='font: bold 70px sans-serif; text-anchor: middle; letter-spacing: 6px;'%3EUNOFFICIAL%3C/text%3E%3Ctext x='50%25' y='305' style='font: bold 70px sans-serif; text-anchor: middle; letter-spacing: 6px;'%3EDRAFT%3C/text%3E%3C/g%3E%3C/svg%3E");

        --logo-bg: #1a5e9a;
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  <div class="head">
   <p data-fill-with="logo"></p>
   <h1 class="p-name no-ref" id="title">P1967R11<br><code class="highlight"><c- cp>#embed</c-></code> - a scannable, tooling-friendly binary resource inclusion mechanism</h1>
   <h2 class="no-num no-toc no-ref heading settled" id="profile-and-date"><span class="content">Draft Proposal, <time class="dt-updated" datetime="2023-01-15">2023-01-15</time></span></h2>
   <div data-fill-with="spec-metadata">
    <dl>
     <dt class="editor">Authors:
     <dd class="editor p-author h-card vcard"><a class="p-name fn u-email email" href="mailto:phdofthehouse@gmail.com">JeanHeyd Meneide</a>
     <dd class="editor p-author h-card vcard"><a class="p-name fn u-email email" href="mailto:shepherd@soasis.org">Shepherd (Shepherd's Oasis LLC)</a>
     <dt>Latest:
     <dd><a href="https://thephd.dev/_vendor/future_cxx/papers/d1967.html">https://thephd.dev/_vendor/future_cxx/papers/d1967.html</a>
     <dt>Paper Source:
     <dd><a href="https://github.com/ThePhD/future_cxx/blob/main/papers/source/d1967.bs">GitHub ThePhD/future_cxx</a>
     <dt>Implementation:
     <dd><a href="https://github.com/ThePhD/embed">GitHub ThePhD/embed</a>
     <dt>Project:
     <dd>ISO/IEC 14882 Programming Languages — C++, ISO/IEC JTC1/SC22/WG21
     <dt>Audience:
     <dd>CWG
    </dl>
   </div>
   <div data-fill-with="warning"></div>
   <hr title="Separator for header">
  </div>
  <div class="p-summary" data-fill-with="abstract">
   <h2 class="no-num no-toc no-ref heading settled" id="abstract"><span class="content">Abstract</span></h2>
   <p>Pulling binary data into a program often involves external tools and build system coordination. Many programs need binary data such as images, encoded text, icons and other data in a specific format. Current state of the art for working with such static data in C includes creating files which contain solely string literals, directly invoking the linker to create data blobs to access through carefully named extern variables, or generating large brace-delimited lists of integers to place into arrays. As binary data has grown larger, these approaches have begun to have drawbacks and issues scaling. From parsing 5 megabytes worth of integer literal expressions into AST nodes to arbitrary string literal length limits in compilers, portably putting binary data in a C program has become an arduous task that taxes build infrastructure and compilation memory and time. This proposal provides a flexible preprocessor directive for making this data available to the user in a straightforward manner.</p>
  </div>
  <nav data-fill-with="table-of-contents" id="toc">
   <h2 class="no-num no-toc no-ref" id="contents">Table of Contents</h2>
   <ol class="toc" role="directory">
    <li>
     <a href="#changelog"><span class="secno">1</span> <span class="content">Changelog</span></a>
     <ol class="toc">
      <li><a href="#changelog-r11"><span class="secno">1.1</span> <span class="content">Revision 11 - August 21<sup>st</sup>, 2023</span></a>
      <li><a href="#changelog-r10"><span class="secno">1.2</span> <span class="content">Revision 10 - January 15<sup>th</sup>, 2023</span></a>
      <li><a href="#changelog-r9"><span class="secno">1.3</span> <span class="content">Revision 9 - October 15<sup>th</sup>, 2022</span></a>
      <li><a href="#changelog-r8"><span class="secno">1.4</span> <span class="content">Revision 8 - July 15<sup>th</sup>, 2022</span></a>
      <li><a href="#changelog-r7"><span class="secno">1.5</span> <span class="content">Revision 7 - June 23<sup>rd</sup>, 2022</span></a>
      <li><a href="#changelog-r6"><span class="secno">1.6</span> <span class="content">Revision 6  - May 12<sup>th</sup>, 2022</span></a>
      <li><a href="#changelog-r5"><span class="secno">1.7</span> <span class="content">Revision 5  - April 12<sup>th</sup>, 2022</span></a>
      <li><a href="#changelog-r4"><span class="secno">1.8</span> <span class="content">Revision 4  - June 15<sup>th</sup>, 2021</span></a>
      <li><a href="#changelog-r3"><span class="secno">1.9</span> <span class="content">Revision 3 - April 15<sup>th</sup>, 2021</span></a>
      <li><a href="#changelog-r2"><span class="secno">1.10</span> <span class="content">Revision 2 - October 25<sup>th</sup>, 2020</span></a>
      <li><a href="#changelog-r1"><span class="secno">1.11</span> <span class="content">Revision 1 - April 10<sup>th</sup>, 2020</span></a>
      <li><a href="#changelog-r0"><span class="secno">1.12</span> <span class="content">Revision 0 - January 5<sup>th</sup>, 2020</span></a>
     </ol>
    <li>
     <a href="#polls"><span class="secno">2</span> <span class="content">Polls &amp; Votes</span></a>
     <ol class="toc">
      <li><a href="#polls-february.2023.c++"><span class="secno">2.1</span> <span class="content">February 2023 Kona-Hybrid C++ meeting</span></a>
      <li><a href="#polls-january.2023.c"><span class="secno">2.2</span> <span class="content">January-February 2023 Virtual C meeting</span></a>
      <li><a href="#polls-november.2022.c++"><span class="secno">2.3</span> <span class="content">November 2022 Kona-Hybrid C++ meeting</span></a>
      <li><a href="#polls-june.2022.c++"><span class="secno">2.4</span> <span class="content">June 2022 Virtual C++ meeting</span></a>
      <li><a href="#polls-july.2021.c++"><span class="secno">2.5</span> <span class="content">July 2021 Virtual C++ meeting</span></a>
      <li><a href="#polls-september.2020.c++"><span class="secno">2.6</span> <span class="content">September 2020 Virtual C++ EWG Meeting</span></a>
      <li><a href="#polls-april.2020.c"><span class="secno">2.7</span> <span class="content">April 2020 Virtual C Meeting</span></a>
     </ol>
    <li>
     <a href="#intro"><span class="secno">3</span> <span class="content">Introduction</span></a>
     <ol class="toc">
      <li><a href="#intro-motivation"><span class="secno">3.1</span> <span class="content">Motivation</span></a>
      <li>
       <a href="#design-efficiency-metrics"><span class="secno">3.2</span> <span class="content">But <em>How</em> Expensive Is This?</span></a>
       <ol class="toc">
        <li><a href="#intro-metrics-speed"><span class="secno">3.2.1</span> <span class="content">Speed</span></a>
        <li><a href="#intro-metrics-space"><span class="secno">3.2.2</span> <span class="content">Memory Size</span></a>
        <li><a href="#intro-metrics-analysis"><span class="secno">3.2.3</span> <span class="content">Analysis</span></a>
       </ol>
      <li><a href="#intro-support"><span class="secno">3.3</span> <span class="content">Support</span></a>
     </ol>
    <li>
     <a href="#design"><span class="secno">4</span> <span class="content">Design</span></a>
     <ol class="toc">
      <li>
       <a href="#design-familiar"><span class="secno">4.1</span> <span class="content">Goal: Simplicity and Familiarity</span></a>
       <ol class="toc">
        <li><a href="#design-familiar-paths"><span class="secno">4.1.1</span> <span class="content">Existing Practice - Search Paths</span></a>
        <li><a href="#design-familiar-distributed"><span class="secno">4.1.2</span> <span class="content">Existing Practice - Discoverable and Distributable</span></a>
       </ol>
      <li>
       <a href="#design-syntax"><span class="secno">4.2</span> <span class="content">Syntax</span></a>
       <ol class="toc">
        <li>
         <a href="#design-syntax-parameters"><span class="secno">4.2.1</span> <span class="content">Parameters</span></a>
         <ol class="toc">
          <li><a href="#design-syntax-parameters-limit"><span class="secno">4.2.1.1</span> <span class="content">Limit Parameter</span></a>
          <li><a href="#design-syntax-parameters-non_empty"><span class="secno">4.2.1.2</span> <span class="content">Non-Empty Prefix and Suffix</span></a>
          <li><a href="#design-syntax-parameters-empty"><span class="secno">4.2.1.3</span> <span class="content">Empty Signifier</span></a>
          <li><a href="#design-syntax-parameters-double.underscore"><span class="secno">4.2.1.4</span> <span class="content">Why is `__param_name__` part of the grammar?</span></a>
         </ol>
       </ol>
      <li><a href="#design-constexpr"><span class="secno">4.3</span> <span class="content">Constant Expressions</span></a>
      <li><a href="#design-__has_embed"><span class="secno">4.4</span> <span class="content">`__has_embed`</span></a>
      <li><a href="#design-endianness"><span class="secno">4.5</span> <span class="content">Bit Blasting: Endianness</span></a>
     </ol>
    <li><a href="#implementation"><span class="secno">5</span> <span class="content">Implementation Experience</span></a>
    <li>
     <a href="#alternative"><span class="secno">6</span> <span class="content">Alternative Syntax</span></a>
     <ol class="toc">
      <li><a href="#alternative-empty"><span class="secno">6.1</span> <span class="content">`__has_embed(…) == 2`, `suffix`/`prefix`/`if_empty` parameters, both, or neither?</span></a>
      <li><a href="#alternative-choice"><span class="secno">6.2</span> <span class="content">Why a Preprocessor Directive, Specifically?</span></a>
     </ol>
    <li>
     <a href="#wording"><span class="secno">7</span> <span class="content">Wording</span></a>
     <ol class="toc">
      <li>
       <a href="#wording-intent"><span class="secno">7.1</span> <span class="content">Intent</span></a>
       <ol class="toc">
        <li><a href="#wording-intent-expansion"><span class="secno">7.1.1</span> <span class="content">Macro Expansion and the <code class="highlight"><c- n>limit</c-></code> parameter</span></a>
        <li><a href="#wording-intent-defined"><span class="secno">7.1.2</span> <span class="content"><code class="highlight"><c- n>defined</c-></code> and problematic undefined behavior</span></a>
       </ol>
      <li>
       <a href="#wording-specification"><span class="secno">7.2</span> <span class="content">Proposed Language Wording</span></a>
       <ol class="toc">
        <li><a href="#wording-specification-cpp.predefined"><span class="secno">7.2.1</span> <span class="content">Add to §14.8.1 Predefined macro names [<strong>cpp.predefined</strong>] three additional predefined macros</span></a>
        <li><a href="#wording-specification-cpp.predefined.feature.test"><span class="secno">7.2.2</span> <span class="content">Append to §14.8.1 Predefined macro names [<strong>cpp.predefined</strong>] an additional feature test macro entry</span></a>
        <li><a href="#wording-specification-cpp.pre"><span class="secno">7.2.3</span> <span class="content">Add to the <em>control-line</em> production in §15.1 Preamble [<strong>cpp.pre</strong>] a new grammar production, as well as a supporting <em>embed-parameter-seq</em> production</span></a>
        <li><a href="#wording-specification-cpp.cond"><span class="secno">7.2.4</span> <span class="content">Modify §15.2 Conditional inclusion [<strong>cpp.cond</strong>] to include a new "has-embed-expression" by modifying paragraph 1 and adding a new paragraph 5 after the current paragraph 4</span></a>
        <li><a href="#wording-specification-cpp.res"><span class="secno">7.2.5</span> <span class="content">Add a new sub-clause §15.4 Resource inclusion [<strong>cpp.res</strong>]</span></a>
        <li><a href="#wording-specification-cpp.res.param"><span class="secno">7.2.6</span> <span class="content">Add a new sub-clause §15.4.2 under Resource Inclusion for Embed parameters [<strong>cpp.res.param</strong>]</span></a>
       </ol>
     </ol>
    <li><a href="#acknowledgements"><span class="secno">8</span> <span class="content">Acknowledgements</span></a>
    <li>
     <a href="#appendix"><span class="secno">9</span> <span class="content">Appendix</span></a>
     <ol class="toc">
      <li>
       <a href="#appendix-existing"><span class="secno">9.1</span> <span class="content">Existing Tools</span></a>
       <ol class="toc">
        <li><a href="#appendix-existing-pre_processing_tools"><span class="secno">9.1.1</span> <span class="content">Pre-Processing Tools</span></a>
        <li><a href="#appendix-existing-python"><span class="secno">9.1.2</span> <span class="content">`python`</span></a>
        <li><a href="#appendix-existing-ld"><span class="secno">9.1.3</span> <span class="content">`ld`</span></a>
        <li><a href="#appendix-existing-incbin"><span class="secno">9.1.4</span> <span class="content">`incbin`</span></a>
        <li><a href="#appendix-existing-external.xxd"><span class="secno">9.1.5</span> <span class="content">`xxd`, but done Raw</span></a>
       </ol>
      <li><a href="#appendix-existing-type_flexibility"><span class="secno">9.2</span> <span class="content">Type Flexibility</span></a>
     </ol>
    <li>
     <a href="#references"><span class="secno"></span> <span class="content">References</span></a>
     <ol class="toc">
      <li><a href="#informative"><span class="secno"></span> <span class="content">Informative References</span></a>
     </ol>
   </ol>
  </nav>
  <main>
   <div class="pagebreak"></div>
   <h2 class="heading settled" data-level="1" id="changelog"><span class="secno">1. </span><span class="content">Changelog</span><a class="self-link" href="#changelog"></a></h2>
   <h3 class="heading settled" data-level="1.1" id="changelog-r11"><span class="secno">1.1. </span><span class="content">Revision 11 - August 21<sup>st</sup>, 2023</span><a class="self-link" href="#changelog-r11"></a></h3>
   <ul>
    <li data-md>
     <p>Monday, February 6th, 2023 (see <a href="#polls-february.2023.c++">§ 2.1 February 2023 Kona-Hybrid C++ meeting</a>): WG21 (C++ Committee) votes in favor of</p>
     <ul>
      <li data-md>
       <p>doing whatever C does with respect to keeping or removing <code class="highlight"><c- n>if_empty</c-></code>/<code class="highlight"><c- n>prefix</c-></code>/<code class="highlight"><c- n>suffix</c-></code>, since there is an open National Body comment to do just that; and,</p>
      <li data-md>
       <p>keeping the approved <code class="highlight"><c- n>__STDC_EMBED_</c-><c- o>*</c-></code>-style of named constants as proposed by the AFNOR French National Body comment.</p>
     </ul>
    <li data-md>
     <p>Monday, February 13th, 2023 (see <a href="#polls-january.2023.c">§ 2.2 January-February 2023 Virtual C meeting</a>): WG14 (C Committee) reaffirms their direction in the working draft.</p>
    <li data-md>
     <p>CWG Review!</p>
     <ul>
      <li data-md>
       <p>Do not have both a prose explanation for the feature test macro, and then the actual specification with the editor’s note.</p>
      <li data-md>
       <p>Remove redundant prose explanations for elements already shown in the grammar.</p>
      <li data-md>
       <p>An <code class="highlight"><c- cp>#embed</c-></code> directive ➡ A <code class="highlight"><c- cp>#embed</c-></code> directive.</p>
      <li data-md>
       <p><code class="highlight"><c- cp># embed</c-></code> directive ➡ <code class="highlight"><c- cp>#embed</c-></code> directive (no space between hash sign and <code class="highlight"><c- n>embed</c-></code> directive name in wording).</p>
      <li data-md>
       <p>Rationale for needing at least one macro expansion per <code class="highlight"><c- cp>#embed</c-></code> directive (see <a href="#wording-intent-expansion">§ 7.1.1 Macro Expansion and the limit parameter</a>).</p>
      <li data-md>
       <p>Rationale for keeping the use of <code class="highlight"><c- n>defined</c-></code> as an operator a constraint violation for the <code class="highlight"><c- cp>#embed</c-></code> directive (see <a href="#wording-intent-defined">§ 7.1.2 defined and problematic undefined behavior</a>).</p>
      <li data-md>
       <p>Ensure that <code class="highlight"><c- n>limit</c-><c- p>(...)</c-></code> parameters are expanded (and only their insides)</p>
     </ul>
   </ul>
   <h3 class="heading settled" data-level="1.2" id="changelog-r10"><span class="secno">1.2. </span><span class="content">Revision 10 - January 15<sup>th</sup>, 2023</span><a class="self-link" href="#changelog-r10"></a></h3>
   <ul>
    <li data-md>
     <p>Happy New Year 🥳🎊!</p>
    <li data-md>
     <p>There were votes during the C++ Meeting to:</p>
     <ul>
      <li data-md>
       <p>Make the previously-optional <code class="highlight"><c- n>__has_embed</c-></code> for empty files and <code class="highlight"><c- n>if_empty</c-></code>/<code class="highlight"><c- n>prefix</c-></code>/<code class="highlight"><c- n>suffix</c-></code> parameters part of the core proposal.</p>
      <li data-md>
       <p>Move the proposal to Core Working Group (CWG).</p>
     </ul>
   </ul>
   <h3 class="heading settled" data-level="1.3" id="changelog-r9"><span class="secno">1.3. </span><span class="content">Revision 9 - October 15<sup>th</sup>, 2022</span><a class="self-link" href="#changelog-r9"></a></h3>
   <ul>
    <li data-md>
     <p>The C edition of the <code class="highlight"><c- cp>#embed</c-></code> paper was accepted into C23.</p>
     <ul>
      <li data-md>
       <p>It was accepted with all of the optional components (<code class="highlight"><c- n>if_empty</c-></code>, <code class="highlight"><c- n>__has_embed</c-></code>).</p>
      <li data-md>
       <p>These will be kept optional in this paper, but this information may inform the C++ Standards Committee of its decisions.</p>
     </ul>
   </ul>
   <h3 class="heading settled" data-level="1.4" id="changelog-r8"><span class="secno">1.4. </span><span class="content">Revision 8 - July 15<sup>th</sup>, 2022</span><a class="self-link" href="#changelog-r8"></a></h3>
   <ul>
    <li data-md>
     <p>Remove <code class="highlight"><c- n>__</c-></code> spelling from C++ proposal (not the C proposal): C++ does not have a rule about <code class="highlight"><c- n>__nodiscard__</c-></code> being considered identical to <code class="highlight"><c- n>nodiscard</c-></code> in spelling, as explained in <a href="#design-syntax-parameters-double.underscore">§ 4.2.1.4 Why is `__param_name__` part of the grammar?</a>.</p>
    <li data-md>
     <p>Document discussion and reaction to discussion from June 2022 meeting in <a href="#polls-june.2022.c++">§ 2.4 June 2022 Virtual C++ meeting</a>.</p>
    <li data-md>
     <p>Add an example for <code class="highlight"><c- n>if_empty</c-></code> with <code class="highlight"><c- n>limit</c-><c- p>(</c-><c- mi>0</c-><c- p>)</c-></code>.</p>
    <li data-md>
     <p>Add some explanations and showings for <code class="highlight"><c- n>__has_embed</c-></code> versus <code class="highlight"><c- n>suffix</c-></code>/<code class="highlight"><c- n>prefix</c-></code>/<code class="highlight"><c- n>if_empty</c-></code>-style of parameters in <a href="#alternative-empty">§ 6.1 `__has_embed(…) == 2`, `suffix`/`prefix`/`if_empty` parameters, both, or neither?</a>.</p>
   </ul>
   <h3 class="heading settled" data-level="1.5" id="changelog-r7"><span class="secno">1.5. </span><span class="content">Revision 7 - June 23<sup>rd</sup>, 2022</span><a class="self-link" href="#changelog-r7"></a></h3>
   <ul>
    <li data-md>
     <p>Add letter of support sent to the C Committee.</p>
    <li data-md>
     <p>Add brief history.</p>
    <li data-md>
     <p>Wording improvements:</p>
     <ul>
      <li data-md>
       <p>Italicize definitions only once, not repeatedly, unless they are Words of Power.</p>
      <li data-md>
       <p>Remove redundant/poorly copied text for embed parameters.</p>
      <li data-md>
       <p>Move "Notes" into "Recommended Practice" sections.</p>
      <li data-md>
       <p>Use textual descriptions for some of the mathematics.</p>
     </ul>
    <li data-md>
     <p>Rename <code class="highlight"><c- n>is_empty</c-></code> to <code class="highlight"><c- n>if_empty</c-></code>, per C++ Standards Committee request.</p>
    <li data-md>
     <p>Make <code class="highlight"><c- n>prefix</c-></code>/<code class="highlight"><c- n>suffix</c-></code>/<code class="highlight"><c- n>if_empty</c-></code> optional, so as to be polled for inclusion in the next revision.</p>
    <li data-md>
     <p>Remove all mentions of "attribute", and produce solely parameter types.</p>
    <li data-md>
     <p>Document discussion and reaction to discussion from June 2022 meeting in <a href="#polls-june.2022.c++">§ 2.4 June 2022 Virtual C++ meeting</a>.</p>
   </ul>
   <h3 class="heading settled" data-level="1.6" id="changelog-r6"><span class="secno">1.6. </span><span class="content">Revision 6  - May 12<sup>th</sup>, 2022</span><a class="self-link" href="#changelog-r6"></a></h3>
   <ul>
    <li data-md>
     <p>Minor typo and grammar fixes in the wording.</p>
   </ul>
   <h3 class="heading settled" data-level="1.7" id="changelog-r5"><span class="secno">1.7. </span><span class="content">Revision 5  - April 12<sup>th</sup>, 2022</span><a class="self-link" href="#changelog-r5"></a></h3>
   <ul>
    <li data-md>
     <p>Additional syntax changes based on feedback from Joseph Myers, Hubert Tong, Jens Maurer, other implementers, and users.</p>
    <li data-md>
     <p>Minor wording tweaks and typo clean up.</p>
    <li data-md>
     <p>An implementation <a href="https://godbolt.org/z/Kb3ejE7q5">available in Godbolt (since last revision as well and noted below)</a>.</p>
    <li data-md>
     <p>The paper’s source code has been refactored:</p>
     <ul>
      <li data-md>
       <p>Separated WG21 paper from WG14 paper.</p>
      <li data-md>
       <p>Core paper together (rationale, reasoning), included in both C and C++ papers since rationale is identical.</p>
     </ul>
    <li data-md>
     <p>Changed <code class="highlight"><c- n>__has_embed</c-></code> to match feedback from last standards meeting, nominally that an empty resource returns <code class="highlight"><c- mi>2</c-></code> instead of <code class="highlight"><c- mi>1</c-></code> (but both decay to a truthy value during preprocessor conditional inclusion expressions). Modified the wording and the prose in <a href="#design-__has_embed">§ 4.4 `__has_embed`</a> to match.</p>
    <li data-md>
     <p>The wording for the limit parameter (<a href="#wording-specification-cpp.res.param">§ 7.2.6 Add a new sub-clause §15.4.2 under Resource Inclusion for Embed parameters [cpp.res.param]</a>) adjusted to perform macro expansion, at least once. Exact wording may need help.</p>
   </ul>
   <h3 class="heading settled" data-level="1.8" id="changelog-r4"><span class="secno">1.8. </span><span class="content">Revision 4  - June 15<sup>th</sup>, 2021</span><a class="self-link" href="#changelog-r4"></a></h3>
   <ul>
    <li data-md>
     <p>Vastly improve C++ wording after June 3rd, 2021 discussion.</p>
    <li data-md>
     <p>Change syntax after comments from implementers of scanners / dependency trackers, and comments from implementers that were supported by users.</p>
    <li data-md>
     <p>Add support for "named parameter" implementation extensions.</p>
   </ul>
   <h3 class="heading settled" data-level="1.9" id="changelog-r3"><span class="secno">1.9. </span><span class="content">Revision 3 - April 15<sup>th</sup>, 2021</span><a class="self-link" href="#changelog-r3"></a></h3>
   <ul>
    <li data-md>
     <p>Added post C meeting fixes to prepare for hopeful success next meeting.</p>
    <li data-md>
     <p>Added 2 more examples to C and C++ wording.</p>
    <li data-md>
     <p>Vastly improved wording and reduced ambiguities in syntax and semantics.</p>
    <li data-md>
     <p>Fixed various wording issues.</p>
   </ul>
   <h3 class="heading settled" data-level="1.10" id="changelog-r2"><span class="secno">1.10. </span><span class="content">Revision 2 - October 25<sup>th</sup>, 2020</span><a class="self-link" href="#changelog-r2"></a></h3>
   <ul>
    <li data-md>
     <p>Added post C++ meeting notes and discussion.</p>
    <li data-md>
     <p>Removed type or bit specifications from the <code class="highlight"><c- cp>#embed</c-></code> directive.</p>
    <li data-md>
     <p>Moved "Type Flexibility" section and related notes to the Appendix as they are now unpursued.</p>
   </ul>
   <h3 class="heading settled" data-level="1.11" id="changelog-r1"><span class="secno">1.11. </span><span class="content">Revision 1 - April 10<sup>th</sup>, 2020</span><a class="self-link" href="#changelog-r1"></a></h3>
   <ul>
    <li data-md>
     <p>Added post C meeting notes and discussion.</p>
    <li data-md>
     <p>Added discussion of potential endianness.</p>
    <li data-md>
     <p>Improved wording section at the end to be more detailed in handling preprocessor (which does not understand types).</p>
   </ul>
   <h3 class="heading settled" data-level="1.12" id="changelog-r0"><span class="secno">1.12. </span><span class="content">Revision 0 - January 5<sup>th</sup>, 2020</span><a class="self-link" href="#changelog-r0"></a></h3>
   <ul>
    <li data-md>
     <p>Initial release.</p>
   </ul>
   <h2 class="heading settled" data-level="2" id="polls"><span class="secno">2. </span><span class="content">Polls &amp; Votes</span><a class="self-link" href="#polls"></a></h2>
   <p>The votes for the C++ Committee are as follows:</p>
   <ul>
    <li data-md>
     <p>SF: Strongly in Favor</p>
    <li data-md>
     <p>F: In Favor</p>
    <li data-md>
     <p>N: Neutral</p>
    <li data-md>
     <p>A: Against</p>
    <li data-md>
     <p>SA: Strongly Against</p>
   </ul>
   <h3 class="heading settled" data-level="2.1" id="polls-february.2023.c++"><span class="secno">2.1. </span><span class="content">February 2023 Kona-Hybrid C++ meeting</span><a class="self-link" href="#polls-february.2023.c++"></a></h3>
   <p>P1967 should include the macro’ed textual versions of has-embed-expressions results, as proposed (and as accepted by WG14).</p>
   <table>
    <thead>
     <tr>
      <th>SF
      <th>F
      <th>N
      <th>A
      <th>SA
    <tbody>
     <tr>
      <td>20
      <td>12
      <td>2
      <td>1
      <td>0
   </table>
   <p>Result: Consensus</p>
   <p>P1967 should remove embed-standard-parameter <code class="highlight"><c- n>prefix</c-></code>, <code class="highlight"><c- n>suffix</c-></code>, and/or <code class="highlight"><c- n>if_empty</c-></code>, if WG14 also chooses to do so, for the purposes of C compatibility of this feature.</p>
   <table>
    <thead>
     <tr>
      <th>SF
      <th>F
      <th>N
      <th>A
      <th>SA
    <tbody>
     <tr>
      <td>7
      <td>17
      <td>6
      <td>0
      <td>3
   </table>
   <p>Result: Consensus</p>
   <p>Forward P1967R10 (as modified by the above polls/WG14) to Core Working Group.</p>
   <p>Result: Unanimous Consent</p>
   <h3 class="heading settled" data-level="2.2" id="polls-january.2023.c"><span class="secno">2.2. </span><span class="content">January-February 2023 Virtual C meeting</span><a class="self-link" href="#polls-january.2023.c"></a></h3>
   <p>Week 1: January 23rd, 2023 - January 27th, 2023</p>
   <p>AFNOR French National Body comment <a data-link-type="biblio" href="#biblio-n3067" title="National Body Comments for ISO/IEC 9899:2023 CD Ballot Comments">N3067, FR-130</a> was accepted, giving named constants in place of <code class="highlight"><c- mi>0</c-></code>, <code class="highlight"><c- mi>1</c-></code>, and <code class="highlight"><c- mi>2</c-></code> for the <code class="highlight"><c- n>__has_embed</c-></code> returns with <code class="highlight"><c- n>__STDC_EMBED_NOT_FOUND__</c-></code>, <code class="highlight"><c- n>__STDC_EMBED_FOUND__</c-></code>, <code class="highlight"><c- n>__STDC_EMBED_EMPTY__</c-></code>.</p>
   <p>Week 2: February 13th, 2023 - January 17th, 2023</p>
   <p>AFNOR French National Body comment <a data-link-type="biblio" href="#biblio-n3067" title="National Body Comments for ISO/IEC 9899:2023 CD Ballot Comments">N3067, FR-130</a> was <strong>rejected</strong>, keeping the status quo of <code class="highlight"><c- cp>#embed</c-></code> as presented in this paper’s previous revisions and as accepted in its WG14 paper.</p>
   <h3 class="heading settled" data-level="2.3" id="polls-november.2022.c++"><span class="secno">2.3. </span><span class="content">November 2022 Kona-Hybrid C++ meeting</span><a class="self-link" href="#polls-november.2022.c++"></a></h3>
   <p>Forward P1967R9, with both "optional" sections included to CWG for inclusion in C++26. This is as WG14 accepted.</p>
   <table>
    <thead>
     <tr>
      <th>SF
      <th>F
      <th>N
      <th>A
      <th>SA
    <tbody>
     <tr>
      <td>7
      <td>5
      <td>2
      <td>2
      <td>2
   </table>
   <p>Forward P1967R9, including section §7.3.6 (<code class="highlight"><c- n>__has_embed</c-></code> with return value 2), but not §7.3.7 (<code class="highlight"><c- n>prefix</c-></code>/<code class="highlight"><c- n>suffix</c-></code>/<code class="highlight"><c- n>if_empty</c-></code>) to CWG for inclusion in C++26. This diverges from what was accepted by WG14.</p>
   <table>
    <thead>
     <tr>
      <th>SF
      <th>F
      <th>N
      <th>A
      <th>SA
    <tbody>
     <tr>
      <td>6
      <td>6
      <td>4
      <td>3
      <td>2
   </table>
   <p>The first poll had stronger consensus, so it was taken as the option to CWG.</p>
   <h3 class="heading settled" data-level="2.4" id="polls-june.2022.c++"><span class="secno">2.4. </span><span class="content">June 2022 Virtual C++ meeting</span><a class="self-link" href="#polls-june.2022.c++"></a></h3>
   <p>"EWG encourages P1967 to define the form of vendor extensions as parameters to <code class="highlight"><c- cp>#embed</c-></code>?"</p>
   <table>
    <thead>
     <tr>
      <th>SF
      <th>F
      <th>N
      <th>A
      <th>SA
    <tbody>
     <tr>
      <td>4
      <td>4
      <td>3
      <td>1
      <td>0
   </table>
   <p>This was the result of consensus. The extensive discussion also made it clear that we must make sure that unrecognized embed parameters, due to them changing how an initializer may be formed, must be considered ill-formed. Users may get around this by using <code class="highlight"><c- n>__has_embed</c-></code>. To dispel the notion that they may be optional, frontmatter wording was added to <a href="#wording-specification-cpp.pre">§ 7.2.3 Add to the control-line production in §15.1 Preamble [cpp.pre] a new grammar production, as well as a supporting embed-parameter-seq production</a> to make it clear the expectations.</p>
   <p>Part of the discussion during this meeting was also whether or not the case for emptiness was useful. We moved the empty-based parameters to <strong>OPTIONAL</strong> pieces of wording, and expect to forward each of these on independent votes asides from the base proposal. This captures the sentiment of folks who may not have spoken up a lot during the meeting but nevertheless felt uneasy: we can simply go with whatever the poll says next meeting.</p>
   <p>We took the feedback to rename <code class="highlight"><c- n>is_empty</c-></code> to <code class="highlight"><c- n>if_empty</c-></code>, since it is a better name for a "do-something-if-predicate-is-true" style attribute.</p>
   <h3 class="heading settled" data-level="2.5" id="polls-july.2021.c++"><span class="secno">2.5. </span><span class="content">July 2021 Virtual C++ meeting</span><a class="self-link" href="#polls-july.2021.c++"></a></h3>
   <p>No votes were taken at this meeting, since it was mostly directional and about the changing of the syntax to better fit tools and scanners. In particular, it was more or less unanimously encouraged to:</p>
   <ul>
    <li data-md>
     <p>re-do the syntax to be <code class="highlight"><c- cp>#embed header-name additional-tokens...</c-></code> instead of <code class="highlight"><c- cp>#embed limit-parameter header-name</c-></code>;</p>
    <li data-md>
     <p>the <code class="highlight"><c- n>additional</c-><c- o>-</c-><c- n>tokens</c-></code> should be reshaped into a parameter specification, giving both standard parameters (such as making a named <code class="highlight"><c- n>limit</c-><c- p>(</c-><c- n>integer</c-><c- o>-</c-><c- n>constant</c-><c- p>)</c-></code> argument) and implementation-defined ones (such as <code class="highlight"><c- n>clang</c-><c- o>::</c-><c- n>element_type</c-><c- p>(</c-><c- b>short</c-><c- p>)</c-></code>);</p>
    <li data-md>
     <p>and, the wording should include some recommendation or specification for "as if by fread" to make wording easier.</p>
   </ul>
   <p>All of these recommendations were incorporated below.</p>
   <h3 class="heading settled" data-level="2.6" id="polls-september.2020.c++"><span class="secno">2.6. </span><span class="content">September 2020 Virtual C++ EWG Meeting</span><a class="self-link" href="#polls-september.2020.c++"></a></h3>
   <p>"We want <code class="highlight"><c- cp>#embed [optional limit] header-name</c-></code> (no type name, no other specification) as a feature."</p>
   <table>
    <thead>
     <tr>
      <th>SF
      <th>F
      <th>N
      <th>A
      <th>SA
    <tbody>
     <tr>
      <td>2
      <td>16
      <td>3
      <td>0
      <td>1
   </table>
   <p>This vote gained the most consensus in the Committee. While there were some individuals who wanted to be able to specify a type, there was stronger interest in not specifying a type at all and always producing a list of integer literals suitable to be used anywhere an <code class="highlight"><c- n>comma</c-><c- o>-</c-><c- n>separated</c-> <c- n>list</c-></code> was valid.</p>
   <p>"We want to explore allowing an optional sequence of tokens to specify a type to <code class="highlight"><c- cp>#embed</c-></code>."</p>
   <table>
    <thead>
     <tr>
      <th>SF
      <th>F
      <th>N
      <th>A
      <th>SA
    <tbody>
     <tr>
      <td>1
      <td>9
      <td>4
      <td>4
      <td>3
   </table>
   <p>Further need was also expressed for <code class="highlight"><c- k>constexpr</c-></code> of different types of variables, so we would rather focus that ability into a sister feature, <a href="/_vendor/future_cxx/d1140.html"><code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>embed</c-></code></a>. There was also an expression to augment <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>bitcast</c-><c- o>&lt;</c-><c- p>...</c-><c- o>></c-><c- p>(...)</c-></code> to handle arrays of data, which would be a follow-on proposal. There was a great amount of interest in the <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>bitcast</c-></code> direction, which means a paper should be written to follow up on it.</p>
   <h3 class="heading settled" data-level="2.7" id="polls-april.2020.c"><span class="secno">2.7. </span><span class="content">April 2020 Virtual C Meeting</span><a class="self-link" href="#polls-april.2020.c"></a></h3>
   <p>"We want to have a proper preprocessor <code class="highlight"><c- cp>#embed ...</c-></code> over a <code class="highlight"><c- cp>#pragma _STDC embed ...</c-></code>-based directive."</p>
   <p>This had UNANIMOUS CONSENT to pursue a proper preprocessor directive and NOT use the <code class="highlight"><c- cp>#pragma</c-></code> syntax. It is noted that the author deems this to be the best decision!</p>
   <p><strong>The following poll was later superseded in the C and C++ Committees.</strong></p>
   <p>"We want to specify embed as using <code class="highlight"><c- cp>#embed [bits-per-element] header-name</c-></code> rather than <code class="highlight"><c- cp>#embed [pp-tokens-for-type] header-name</c-></code>." (2-way poll.)</p>
   <table>
    <thead>
     <tr>
      <th>Y
      <th>N
      <th>A
    <tbody>
     <tr>
      <td>10
      <td>2
      <td>3
   </table>
   <ul>
    <li data-md>
     <p>Y: 10 bits-per-element (Ye)</p>
    <li data-md>
     <p>N: 2 type-based (Nay)</p>
    <li data-md>
     <p>A: 4 Abstain (Abstain)</p>
   </ul>
   <p>This poll will be a bit harder to accommodate properly. Using a <i><code class="highlight"><c- n>constant</c-><c- o>-</c-><c- n>expression</c-></code></i> that produces a numeric constant means that the max-length specifier is now ambiguous. The syntax of the directive may need to change to accommodate further exploration.</p>
   <h2 class="heading settled" data-level="3" id="intro"><span class="secno">3. </span><span class="content">Introduction</span><a class="self-link" href="#intro"></a></h2>
   <p>For well over 40 years, people have been trying to plant data into executables for varying reasons. Whether it is to provide a base image with which to flash hardware in a hard reset, icons that get packaged with an application, or scripts that are intrinsically tied to the program at compilation time, there has always been a strong need to couple and ship binary data with an application.</p>
   <p>Neither C nor C++ makes this easy for users to do, resulting in many individuals reaching for utilities such as `xxd`, writing python scripts, or engaging in highly platform-specific linker calls to set up `extern` variables pointing at their data. Each of these approaches come with benefits and drawbacks. For example, while working with the linker directly allows injection of very large amounts of data (5 MB and upwards), it does not allow accessing that data at any other point except runtime. Conversely, doing all of these things portably across systems and additionally maintaining the dependencies of all these resources and files in build systems both like and unlike `make` is a tedious task.</p>
   <p>Thusly, we propose a new preprocessor directive whose sole purpose is to be `#include`, but for binary data: `#embed`.</p>
   <h3 class="heading settled" data-level="3.1" id="intro-motivation"><span class="secno">3.1. </span><span class="content">Motivation</span><a class="self-link" href="#intro-motivation"></a></h3>
   <p>The reason this needs a new language feature is simple: current source-level encodings of "producing binary" to the compiler are incredibly inefficient both ergonomically and mechanically. Creating a brace-delimited list of numbers in C comes with baggage in the form of how numbers and lists are formatted. C’s preprocessor and the forcing of tokenization also forces an unavoidable cost to lexer and parser handling of values.</p>
   <p>Therefore, using arrays with specific initialized values of any significant size becomes borderline impossible. One would <a href="https://groups.google.com/forum/#!topic/comp.std.c/zWFEXDvyTwM">think this old problem</a> would be work-around-able in a succinct manner. Given how old this desire is (that comp.std.c thread is not even the oldest recorded feature request), proper solutions would have arisen. Unfortunately, that could not be farther from the truth. Even the compilers themselves suffer build time and memory usage degradation, as contributors to the LLVM compiler ran the gamut of <a data-link-type="biblio" href="#biblio-llvm-string-init-fail" title="[llvm-dev] [tablegen] table readability / performance">the biggest problems that motivate this proposal</a> in a matter of a week or two earlier this very year. Luke is not alone in his frustrations: developers all over suffer from the inability to include binary in their program quickly and perform <a href="https://twitter.com/oe1cxw/status/1008361214018244608">exceptional gymnastics</a> to get around the compiler’s inability to handle these cases.</p>
   <p>C developer progress is impeded regarding the <a href="https://twitter.com/pcwalton/status/1233521726262300672">inability to handle this use case</a>, and it leaves both old and new programmers wanting.</p>
   <p>Finally, Microsoft has an ABI problem with its maximum string literal size that cannot be solved using string literals or anything treated like string literals, as the LLVM thread and the thread from Claire Xen make clear. It has also frustrated both C an C++ programmers alike, despite their <a data-link-type="biblio" href="#biblio-nonius-visual-c-error" title="nonius generated HTML Reporter">best efforts</a>. It was so frustrating that even extended-C-and-C++-compilers, like <a data-link-type="biblio" href="#biblio-circle-embed-tweet" title="@embed added to Circle">Circle</a>, solve this problem with custom directives.</p>
   <h3 class="heading settled" data-level="3.2" id="design-efficiency-metrics"><span class="secno">3.2. </span><span class="content">But <em>How</em> Expensive Is This?</span><a class="self-link" href="#design-efficiency-metrics"></a></h3>
   <p>Many different options as opposed to this proposal were seriously evaluated. Implementations were attempted in at least 2 production-use compilers, and more in private. To give an idea of usage and size, here are results for various compilers on a machine with the following specification:</p>
   <ul>
    <li data-md>
     <p>Intel Core i7 @ 2.60 GHz</p>
    <li data-md>
     <p>24.0 GB RAM</p>
    <li data-md>
     <p>Debian Sid or Windows 10</p>
    <li data-md>
     <p>Method: Execute command hundreds of times, stare extremely hard at `htop`/Task Manager</p>
   </ul>
   <p>While `time` and `Measure-Command` work well for getting accurate timing information and can be run several times in a loop to produce a good average value, tracking memory consumption without intrusive efforts was much harder and thusly relied on OS reporting with fixed-interval probes. Memory usage is therefore approximate and may not represent the actual maximum of consumed memory. All of these are using the latest compiler built from source if available, or the latest technology preview if available. Optimizations at `-O2` (GCC &amp; Clang style)/`/O2 /Ob2` (MSVC style) or equivalent were employed to generate the final executable.</p>
   <h4 class="heading settled" data-level="3.2.1" id="intro-metrics-speed"><span class="secno">3.2.1. </span><span class="content">Speed</span><a class="self-link" href="#intro-metrics-speed"></a></h4>
   <table>
    <thead>
     <tr>
      <th>Strategy
      <th>40 kilobytes
      <th>400 kilobytes
      <th>4 megabytes
      <th>40 megabytes
    <tbody>
     <tr>
      <td>`#embed` GCC
      <td>0.236 s
      <td>0.231 s
      <td>0.300 s
      <td>1.069 s
     <tr>
      <td>`xxd`-generated GCC
      <td>0.406 s
      <td>2.135 s
      <td>23.567 s
      <td>225.290 s
     <tr>
      <td>`xxd`-generated Clang
      <td>0.366 s
      <td>1.063 s
      <td>8.309 s
      <td>83.250 s
     <tr>
      <td>`xxd`-generated MSVC
      <td>0.552 s
      <td>3.806 s
      <td>52.397 s
      <td>Out of Memory
   </table>
   <h4 class="heading settled" data-level="3.2.2" id="intro-metrics-space"><span class="secno">3.2.2. </span><span class="content">Memory Size</span><a class="self-link" href="#intro-metrics-space"></a></h4>
   <table>
    <thead>
     <tr>
      <th>Strategy
      <th>40 kilobytes
      <th>400 kilobytes
      <th>4 megabytes
      <th>40 megabytes
    <tbody>
     <tr>
      <td>`#embed` GCC
      <td>17.26 MB
      <td>17.96 MB
      <td>53.42 MB
      <td>341.72 MB
     <tr>
      <td>`xxd`-generated GCC
      <td>24.85 MB
      <td>134.34 MB
      <td>1,347.00 MB
      <td>12,622.00 MB
     <tr>
      <td>`xxd`-generated Clang
      <td>41.83 MB
      <td>103.76 MB
      <td>718.00 MB
      <td>7,116.00 MB
     <tr>
      <td>`xxd`-generated MSVC
      <td>~48.60 MB
      <td>~477.30 MB
      <td>~5,280.00 MB
      <td>Out of Memory
   </table>
   <h4 class="heading settled" data-level="3.2.3" id="intro-metrics-analysis"><span class="secno">3.2.3. </span><span class="content">Analysis</span><a class="self-link" href="#intro-metrics-analysis"></a></h4>
   <p>The numbers here are not reassuring that compiler developers can reduce the memory and compilation time burdens with regard to large initializer lists. Furthermore, privately owned compilers and other static analysis tools perform almost exponentially worse here, taking vastly more memory and thrashing CPUs to 100% for several minutes (to sometimes several hours if e.g. the Swap is engaged due to lack of main memory). Every compiler must always consume a certain amount of memory in a relationship directly linear to the number of tokens produced. After that, it is largely implementation-dependent what happens to the data.</p>
   <p>The GNU Compiler Collection (GCC) uses a tree representation and has many places where it spawns extra "garbage", as its called in the various bug reports and work items from implementers. There has been a 16+ year effort on the part of GCC to reduce its memory usage and speed up initializers (<a data-link-type="biblio" href="#biblio-gcc-large-init-bug-c" title="[8/9/10 regression] Uses lots of memory when compiling large initialized arrays">C Bug Report</a> and <a data-link-type="biblio" href="#biblio-gcc-large-init-bug-cpp" title="[8/9/10 regression] Uses lots of memory when compiling large initialized arrays">C++ Bug Report</a>). Significant improvements have been made and there is plenty of room for GCC to improve here with respect to compiler and memory size. Somewhat unfortunately, one of the current changes in flight for GCC is the removal of all location information beyond the 256th initializer of large arrays in order to save on space. This technique is not viable for static analysis compilers that promise to recreate source code exactly as was written, and therefore discarding location or token information for large initializers is not a viable cross-implementation strategy.</p>
   <p>LLVM’s Clang, on the other hand, is much more optimized. They maintain a much better scaling and ratio but still suffer the pain of their token overhead and Abstract Syntax Tree representation, though to a much lesser degree than GCC. A bug report was filed but talk from two prominent LLVM/Clang developers made it clear that optimizing things any further would <a data-link-type="biblio" href="#biblio-clang-large-init-bug" title="Memory Consumption Reduction for Large Array Initialization?">require an extremely large refactor of parser internals with a lot of added functionality</a>, with potentially dubious gains. As part of this proposal, the implementation provided does attempt to do some of these optimizations, and follows some of the work done in <a href="https://cor3ntin.github.io/posts/arrays/">this post</a> to try and prove memory and file size savings. (The savings in trying to optimize parsing large array literals were "around 10%", compared to the order-of-magnitude gains from `#embed` and similar techniques).</p>
   <p>Microsoft Visual C (MSVC) scales the worst of all the compilers, even when given the benefit of being on its native operating system. Both Clang and GCC outperform MSVC on Windows 10 or WINE as of the time of writing.</p>
   <p>Linker tricks on all platforms perform better with time (though slower than `#embed` implementation), but force the data to be optimizer-opaque (even on the most aggressive "Link Time Optimization" or "Whole Program Optimization" modes compilers had). Linker tricks are also exceptionally non-portable: whether it is the `incbin` assembly command supported by certain compilers, specific invocations of `rc.exe`/`objcopy` or others, non-portability plagues their usefulness in writing Cross-Platform C (see Appendix for listing of techniques). This makes C decidedly unlike the "portable assembler" advertised by its proponents (and my Professors and co-workers).</p>
   <h3 class="heading settled" data-level="3.3" id="intro-support"><span class="secno">3.3. </span><span class="content">Support</span><a class="self-link" href="#intro-support"></a></h3>
   <p>To say that `#embed` enjoys broad C Community support is an understatement. In all the years we have written proposals for C and C++, this is the only one where someone physically mailed us a letter - from a different country - directly to the Standards Body to try and make a case for the feature directly, rather than what was already in the paper:</p>
   <p><img height="854" 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" width="604"></p>
   <p>This is just one of hundreds of messages sent over time digitally, with participants from everywhere in the European Union (France, Germany, Spain, Czech Republic, Switzerland, Denmark, etc.) to East and Southern Asia (China, Japan, Vietnam, etc.) and many, many more from North and South America (including Canada, Brazil, Argentina, etc.). There has been a clear and present need to solve this problem for quite some time now.</p>
   <h2 class="heading settled" data-level="4" id="design"><span class="secno">4. </span><span class="content">Design</span><a class="self-link" href="#design"></a></h2>
   <p>There are two design goals at play here, sculpted to specifically cover industry standard practices with build systems and C programs.</p>
   <p>The first is to enable developers to get binary content quickly and easily into their applications. This can be icons/images, scripts, tiny sound effects, hardcoded firmware binaries, and more. In order to support this use case, this feature was designed for simplicity and builds upon widespread existing practice.</p>
   <p>The second is extensibility. We recognize that talking to arbitrary places on either the file system, network, or similar has different requirements. After feedback from an implementer about syntax for extensions, we reached out to various users of the beta builds or custom builds using `#embed`-like things. It turns out many of them have needs that, since they are the ones building and in some cases patching over/maintaining their compiler, have needs for extensible parameters that can be passed to `#embed` directives. Therefore, we structured the syntax in a way that is favorable to "simple" scanning tools but powerful enough to handle arbitrary directives and future extension points.</p>
   <h3 class="heading settled" data-level="4.1" id="design-familiar"><span class="secno">4.1. </span><span class="content">Goal: Simplicity and Familiarity</span><a class="self-link" href="#design-familiar"></a></h3>
   <p>Providing a directive that mirrors `#include` makes it natural and easy to understand and use this new directive. It accepts both chevron-delimited (`&lt;>`) and quote-delimited (`""`) strings like `#include` does. This matches the way people have been generating files to `#include` in their programs, libraries and applications: matching the semantics here preserves the same mental model. This makes it easy to teach and use, since it follows the same principles:</p>
<pre class="language-cpp highlight"><c- d>/* default is unsigned char */</c->
<c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>icon_display_data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
		<c- cp>#embed "art.png"</c->
<c- p>};</c->

<c- d>/* specify any type which can be initialized form integer constant expressions will do */</c->
<c- k>const</c-> <c- b>char</c-> <c- n>reset_blob</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
		<c- cp>#embed "data.bin"</c->
<c- p>};</c->
</pre>
   <p>Because of its design, it also lends itself to being usable in a wide variety of contexts and with a wide variety of vendor extensions. For example:</p>
<pre class="language-cpp highlight"><c- d>/* attributes work just as well */</c->
<c- k>const</c-> <c- b>signed</c-> <c- b>char</c-> <c- n>aligned_data_str</c-><c- p>[]</c-> <c- n>__attribute__</c-> <c- p>((</c-><c- n>aligned</c-> <c- p>(</c-><c- mi>8</c-><c- p>)))</c-> <c- o>=</c-> <c- p>{</c->
		<c- cp>#embed "attributes.xml"</c->
<c- p>};</c->
</pre>
   <p>The above code obeys the alignment requirements for an implementation that understands GCC directives, without needing to add special support in the `#embed` directive for it: it is just another array initializer, like everything else.</p>
   <h4 class="heading settled" data-level="4.1.1" id="design-familiar-paths"><span class="secno">4.1.1. </span><span class="content">Existing Practice - Search Paths</span><a class="self-link" href="#design-familiar-paths"></a></h4>
   <p>It follows the same implementation experience guidelines as `#include` by leaving the search paths implementation defined, with the understanding that implementations are not monsters and will generally provide `-fembed-path`/`-fembed-path=` and other related flags as their users require for their systems. This gives implementers the space they need to serve the needs of their constituency.</p>
   <h4 class="heading settled" data-level="4.1.2" id="design-familiar-distributed"><span class="secno">4.1.2. </span><span class="content">Existing Practice - Discoverable and Distributable</span><a class="self-link" href="#design-familiar-distributed"></a></h4>
   <p>Build systems today understand the make dependency format, typically through use of the compiler flags `-(M)MD` and friends. This sees widespread support, from CMake, Meson and Bazel to ninja and make. Even VC++ has a version of this flag -- `/showIncludes` -- that gets parsed by build systems.</p>
   <p>This preprocessor directive fits perfectly into existing build architecture by being discoverable in the same way with the same tooling formats. It also blends perfectly with existing distributed build systems which preprocess their files with `-frewrite-includes` before sending it up to the build farm, as `distcc` and `icecc` do.</p>
   <h3 class="heading settled" data-level="4.2" id="design-syntax"><span class="secno">4.2. </span><span class="content">Syntax</span><a class="self-link" href="#design-syntax"></a></h3>
   <p>The syntax for this feature is for an extensible preprocessor directive. The general form is:</p>
   <p>`# embed <header-name>|"header-name" parameters...`</header-name></p>
   <p>where `parameters` refers to the syntax of `no_arg`/`with_arg(values, ...)`/`vendor::no_arg`/`vendor::with_arg(tokens...)` that is already part of the grammar. The syntax takes after many existing extensions in many preprocessor implementations and specifications, including OpenMP, Clang `#pragma`s, Microsoft `#pragma`s, and more. The named parameters was a recommendation by an implementer</p>
   <p>This syntax keeps the header-name, enclosed in angle brackets or quotation marks, first to allow a "simple" preprocessing tool to quickly scan for all the necessary dependency names without having to parse any of the names or parameters that come after. Both standard names and vendor/implementation-specific names can also be accommodated in the list of parameters, allowing for specific vendor extensions in a consistent manner while the standard can take the normal `foo` names.</p>
   <h4 class="heading settled" data-level="4.2.1" id="design-syntax-parameters"><span class="secno">4.2.1. </span><span class="content">Parameters</span><a class="self-link" href="#design-syntax-parameters"></a></h4>
   <p>One of the things that’s critical about `#embed` is that, because it works with binary resources, those resources have characteristics very much different from source and header files present in a typical filesystem. There may be need for authentication (possibly networked), permission, access, additional processing (new-line normalization), and more that can be somewhat similarly specified through the implementation-defined parameters already available through the C and C++ Standards' "`fopen`" function.</p>
   <p>However, adding a "mode" string similar to `fopen`, while extensible, is archaic and hard to check. Therefore, the syntax allows for multiple "named parameters", encapsulated in parentheses, and marked with `::` as a form of "namespacing" identifiers similar to `[[vendor::attr]]` attribute-style syntax. However, parameters do not have the balanced square bracket `[[]]` delimiters, and just use the `vendor::attr` form with an optional parentheses-enclosed list of arguments.</p>
   <p>Furthermore, parameters as defined in this proposal may open the door to better vendor-quality preprocessor parameters. They are defined generically and they are set to be a constraint violation (C) or make the program ill-formed (C++) if they are not recognized. This is why they are not named "attributes" and steer very far away from the attribute naming in this revision of the paper.</p>
   <p>Some example parameters including interpreting the binary data as "text" rather than a bitstream with `clang::text(utf-8)`, providing authenticated access with `fs::auth("username", "password")`, `yosys::type(hardware_entry)` to change the element of each entry produced, and more. These are all things vendors have indicated they might support for their use cases.</p>
   <h5 class="heading settled" data-level="4.2.1.1" id="design-syntax-parameters-limit"><span class="secno">4.2.1.1. </span><span class="content">Limit Parameter</span><a class="self-link" href="#design-syntax-parameters-limit"></a></h5>
   <p>The earliest adopters and testers of the implementation reported problems when trying to access POSIX-style `char` devices and pseudo-files that do not have a logical limitation. These "infinity files" served as the motivation for introducing the "limit" parameter; there are a number of resources which are logically infinite and thusly having a compiler read all of the data would result an Out of Memory error, much like with `#include` if someone did `#include "/dev/urandom"`.</p>
   <p>The limit parameter is specified after the resource name in `#embed`, like so:</p>
<pre class="language-cpp highlight"><c- k>const</c-> <c- b>int</c-> <c- n>please_dont_oom_kill_me</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
	<c- cp>#embed "/dev/urandom" limit(512)</c->
<c- p>};</c->
</pre>
   <p>This prevents locking compilers in an infinite loop of reading from potentially limitless resources. Note the parameter is a hard upper bound, and not an exact requirement. A resource may expand to a 16-element list rather than a 512-element list, and that is entirely expected behavior. The limit is the number of elements allowed up to the maximum for this type.</p>
   <p>This does not provide a form of "timeout" for e.g. resources stored on a Network File System or an inactivity limit or similar. Implementations that utilize support for more robust handling of resource location schemes like Uniform Resource Identifiers (URIs) that may interface with resources that take extensive amounts of time to locate should provide implementation-defined extensions for timeout or inactivity checks.</p>
   <h5 class="heading settled" data-level="4.2.1.2" id="design-syntax-parameters-non_empty"><span class="secno">4.2.1.2. </span><span class="content">Non-Empty Prefix and Suffix</span><a class="self-link" href="#design-syntax-parameters-non_empty"></a></h5>
   <p>Something pointed out by others using this preprocessor directive is a problem similar to `__VA_ARGS__`: when placing this parameter with other tokens before or after the `#embed` directive, it sometimes made it hard to properly anticipate whether a file was empty or not.</p>
   <p>The `#embed` proposal includes a prefix and suffix entry that applies if and only if the resource is non-empty:</p>
<pre class="language-cpp highlight"><c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>null_terminated_file_data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
	<c- cp>#embed "might_be_empty.txt" \</c->
<c- cp>		prefix(0xEF, 0xBB, 0xBF, ) </c-><c- d>/* UTF-8 BOM */</c-><c- cp> \</c->
<c- cp>		suffix(,)</c->
	<c- mi>0</c-> <c- c1>// always null-terminated</c->
<c- p>};</c->
</pre>
   <p>`prefix` and `suffix` only work if the `#embed` resource is not empty. If a user wants a prefix or suffix that appears unconditionally, they can simply just type the tokens they want before and after: there is nothing to be gained from adding a standards-mandated prefix and suffix that works in both the empty and non-empty case.</p>
   <p>We do not want to entirely lose that user’s use case, however, so we have made the `suffix`/`prefix` parameters an <strong>optional</strong> part of the wording, to be voted on as a <strong>separate</strong> piece.</p>
   <h5 class="heading settled" data-level="4.2.1.3" id="design-syntax-parameters-empty"><span class="secno">4.2.1.3. </span><span class="content">Empty Signifier</span><a class="self-link" href="#design-syntax-parameters-empty"></a></h5>
   <p>This is for the case when the given resource exists, but it is empty. This allows a user to have a sequence of tokens between the parentheses passed to the `if_empty` parameter here: `#embed "blah" if_empty(SPECIAL_EMPTY_MARKER MORE TOKENS)`.</p>
   <p>If `"blah"` exists but is empty, this will replace the directive with the (potentially macro expanded) contents between the parentheses of the `if_empty` parameter. This can also be combined with a `limit(0)` parameter to always have the `if_empty` token return. This can be useful for macro-expanded integer constant expressions that may end up being 0.</p>
   <p>An example program `single-urandom.c`:</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- nf>main</c-> <c- p>()</c-> <c- p>{</c->
<c- cp>#define SOME_CONSTANT 0</c->
    <c- k>return</c->
<c- cp>#embed &lt;/dev/urandom> if_empty(0) limit(SOME_CONSTANT)</c->
    <c- p>;</c->
<c- p>}</c->
</pre>
   <p>This program will expand to the equivalent of `int main () { return 0; }` if `SOME_CONSTANT` is 0, or a single (random) `unsigned char` value if it is 1. (If `SOME_CONSTANT` is greater than 1, it produces a comma-delimited list of integers, which gets treated as a sequence to the comma operator after the `return` keyword. <a href="https://godbolt.org/z/Kjn9nreY1">Some compilers warn about the left-hand operands having no effect</a>.)</p>
   <p>Previously, this was the only way to detect that the resource was empty. This functionality can be substituted with having to use `__has_embed(…)` with the same contents and specifically check for the return value of `== 2`. While this change create some repeating-yourself friction in the identifier, there was only 1 user who actually needed the if_empty signifier, and that was only because they were using it to replace it with a very particularly sized and shaped data array. The `__has_embed` technique worked just fine for them as well at the cost of some repetition (to check for embed parameters), and after some discussion with the user it was deemed okay to switch to this syntax, since during the discussion of `#embed` in the January/February 2022 WG14 C Standards Committee Meeting it was commented on that there were too many signifiers.</p>
   <p>We do not want to entirely lose that user’s use case, however, so we have made the `if_empty` parameter an <strong>optional</strong> part of the wording, to be voted on as a <strong>separate</strong> piece.</p>
   <h5 class="heading settled" data-level="4.2.1.4" id="design-syntax-parameters-double.underscore"><span class="secno">4.2.1.4. </span><span class="content">Why is `__param_name__` part of the grammar?</span><a class="self-link" href="#design-syntax-parameters-double.underscore"></a></h5>
   <p>This is specifically at the request of the C Committee. There are plenty of places where `limit`/`suffix`/`prefix` may be preexisting macro names. Thus, following the same rationale of other preprocessor-hardened names (such as attributes in the C standard), names that are prefixed and suffixed by a double underscore (e.g., `__limit__`, `__suffix__`, and similar) behave identically to their non-underscore counterparts. This is to aid in differentiation to prevent macro collisions, and is featured as part of the style of attributes in C++.</p>
   <p>This feature will only be part of the C version of the proposal, as C++ does not have a similar rule for its attributes and therefore has no precedent amongst C++ compilers. (We expect that dual-C-and-C++ compilers will support both spellings in the interest of ease-of-shared-implementation.)</p>
   <h3 class="heading settled" data-level="4.3" id="design-constexpr"><span class="secno">4.3. </span><span class="content">Constant Expressions</span><a class="self-link" href="#design-constexpr"></a></h3>
   <p>Both C and C++ compilers have rich constant folding capabilities. While C compilers only acknowledge a fraction of what is possible by larger implementations like MSVC, Clang, and GCC, C++ has an entire built-in compile-time programming bit, called `constexpr`. Most typical solutions cannot be used as constant expressions because they are hidden behind run-time or link-time mechanisms (`objcopy`, or the resource compiler `rc.exe` on Windows, or the static library archiving tools). This means that many algorithms and data components which could strongly benefit from having direct access to the values of the integer constants do not because the compiler cannot "see" the data, or because Whole Program Optimization cannot be aggressive enough to do anything with those values at that point in the compilation (i.e., during the final linking stage).</p>
   <p>This makes `#embed` especially powerful, since it guarantees these values are available as-if it was written by as a sequence of integers whose values fit within an `unsigned char`.</p>
   <h3 class="heading settled" data-level="4.4" id="design-__has_embed"><span class="secno">4.4. </span><span class="content">`__has_embed`</span><a class="self-link" href="#design-__has_embed"></a></h3>
   <p>C and C++ both support a `__has_include` . It makes sense to have an analogous `__has_embed` identifier. It can take a `__has_embed( "header-name" ... )` or `__has_embed (<header-name> ... )` resource name identifier, as well as additional arguments to let vendors pass in any additional arguments they need to properly access the file (following the same parameters passed to the directive). `__has_embed` evaluates to:</header-name></p>
   <ul>
    <li data-md>
     <p>`0` if the resource is not found or any parameter in the `embed-parameter-list` does not exist; or,</p>
    <li data-md>
     <p>`1` if the resource is found, it is not empty, and the `embed-parameter-list` (including the vendor-specific ones) are supported; or,</p>
    <li data-md>
     <p>`2` if the resource is found, it is empty, and the `embed-parameter-list` (including the vendor-specific ones) are supported.</p>
   </ul>
   <p>This may raise questions of "TOCTTOU" (Time of Check to Time of Use) problems, but we already have these problems between `__has_include` and `#include`. They are also already solved by existing implementations. For example, the LLVM/Clang compiler uses `FileManager` and `SourceManager` abstractions which cache files. GCC’s "libcpp" (not its C++ library but it’s preprocessor library) will cache already-opened files (up to a limit). Any TOCTTOU problems have already been managed and provided for using the current `#include` infrastructure of these compilers, and if any compiler wants a more streamlined and consistent experience they should deploy whatever Quality of Implementation (QoI) they see fit to achieve that goal.</p>
   <p>Finally, note that this directive DOES expand to `0` if a given parameters that the implementation does not support. This makes it easier to determine if a given vendor-specific embed directive is supported. In fact, support can be checked in most cases by using a combination of `__FILE__` and `__has_embed`:</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- nf>main</c-> <c- p>()</c-> <c- p>{</c->
<c- cp>#if __has_embed ("bits.bin" clang::element_type(short))</c->
	<c- c1>// load "short" values directly from memory</c->
	<c- b>short</c-> <c- n>meow</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed "bits.bin" clang::element_type(short)</c->
	<c- p>};</c->
<c- cp>#else</c->
	<c- c1>// no support for implementation-specifid</c->
	<c- c1>// clang::element_type parameter</c->
	<c- b>unsigned</c-> <c- b>char</c-> <c- n>meow_bytes</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed "bits.bin"</c->
	<c- p>};</c->
	<c- b>unsigned</c-> <c- b>short</c-> <c- n>meow</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
		<c- d>/* parse meow_bytes into short values</c->
<c- d>		   by-hand! */</c->
	<c- p>};</c->
<c- cp>#endif</c->
	<c- k>return</c-> <c- mi>0</c-><c- p>;</c->
<c- p>}</c->
</pre>
   <p>For the C proposal, the wording for `__has_embed(...)` returning `2` is optional, as it depends on whether or not the C Committee would like to solve this problem in one specific direction or another.</p>
   <h3 class="heading settled" data-level="4.5" id="design-endianness"><span class="secno">4.5. </span><span class="content">Bit Blasting: Endianness</span><a class="self-link" href="#design-endianness"></a></h3>
   <blockquote>
    <p>What would happen if you did `fread` into an `int`?</p>
    <p>that’s my answer 🙂</p>
    <p>– Isabella Muerte</p>
   </blockquote>
   <p>It’s a simple answer. While we may not be reading into `int`, the idea here is that the interpretation of the directive is meant to get as close to directly copying the bitstream, as is possible. A compiler-magic based implementation like the ones provided as part of this paper have no endianness issues, but an implementation which writes out integer literals may need to be careful of host vs. target endianness to make sure it serializes correctly to the final binary. As a litmus test, the following code -- given a suitably sized `"foo.bin"` resource -- should return `0`:</p>
<pre class="language-cpp highlight"><c- cp>#include</c-> &lt;cstdio>
<c- cp>#include</c-> &lt;cstring>

<c- b>int</c-> <c- nf>main</c-><c- p>()</c-> <c- p>{</c->
	<c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>foo0</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed "foo.bin"</c->
	<c- p>};</c->

	<c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>foo1</c-><c- p>[</c-><c- k>sizeof</c-><c- p>(</c-><c- n>foo0</c-><c- p>)];</c->
	<c- n>std</c-><c- o>::</c-><c- b>FILE</c-><c- o>*</c-> <c- n>fp</c-> <c- o>=</c-> <c- n>std</c-><c- o>::</c-><c- n>fopen</c-><c- p>(</c-><c- s>"foo.bin"</c-><c- p>);</c->
	<c- k>if</c-> <c- p>(</c-><c- n>fp</c-> <c- o>==</c-> <c- k>nullptr</c-><c- p>)</c-> <c- p>{</c->
		<c- k>return</c-> <c- mi>1</c-><c- p>;</c->
	<c- p>}</c->
	<c- n>std</c-><c- o>::</c-><c- b>size_t</c-> <c- n>foo1_read</c-> <c- o>=</c-> <c- n>std</c-><c- o>::</c-><c- n>fread</c-><c- p>(</c-><c- n>foo1</c-><c- p>,</c-> <c- mi>1</c-><c- p>,</c-> <c- k>sizeof</c-><c- p>(</c-><c- n>foo1</c-><c- p>),</c-> <c- n>fp</c-><c- p>);</c->
	<c- k>if</c-> <c- p>(</c-><c- n>foo1_read</c-> <c- o>!=</c-> <c- k>sizeof</c-><c- p>(</c-><c- n>foo1</c-><c- p>))</c-> <c- p>{</c->
		<c- k>return</c-> <c- mi>1</c-><c- p>;</c->
	<c- p>}</c->
	<c- k>if</c-> <c- p>(</c-><c- n>memcmp</c-><c- p>(</c-><c- o>&amp;</c-><c- n>foo0</c-><c- p>[</c-><c- mi>0</c-><c- p>],</c-> <c- o>&amp;</c-><c- n>foo1</c-><c- p>[</c-><c- mi>0</c-><c- p>],</c-> <c- k>sizeof</c-><c- p>(</c-><c- n>foo0</c-><c- p>))</c-> <c- o>!=</c-> <c- mi>0</c-><c- p>)</c-> <c- p>{</c->
		<c- k>return</c-> <c- mi>1</c-><c- p>;</c->
	<c- p>}</c->
	<c- k>return</c-> <c- mi>0</c-><c- p>;</c->
<c- p>}</c->
</pre>
   <p>If the same file during both translation and execution, `"foo.bin"`, is used here, this program should always return `0`. This is what the wording below attempts to achieve. Note that this is always a concern already, due to `CHAR_BIT` and other target environment-specific variables that already exist; implementations have always been responsible for handling differences between the host and the target and this directive is no different. If the `CHAR_BIT` of the host vs. the target is the same, then the directive is more simple. If it is not, then an implementation will have to perform translation.</p>
   <h2 class="heading settled" data-level="5" id="implementation"><span class="secno">5. </span><span class="content">Implementation Experience</span><a class="self-link" href="#implementation"></a></h2>
   <p>An implementation of this functionality is available in branches of both GCC and Clang, accessible right now with an internet connection through the online utility Compiler Explorer. The Clang compiler with this functionality is called <a href="https://godbolt.org/z/x5vhTrqvs">"x86-64 clang (thephd.dev)"</a> in the Compiler Explorer UI:</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- nf>main</c-> <c- p>()</c-> <c- p>{</c->
    <c- k>return</c->
<c- cp>#embed &lt;/dev/urandom> limit(1)</c->
    <c- p>;</c->
<c- p>}</c->
</pre>
   <div class="pagebreak"></div>
   <h2 class="heading settled" data-level="6" id="alternative"><span class="secno">6. </span><span class="content">Alternative Syntax</span><a class="self-link" href="#alternative"></a></h2>
   <p>There were previous concerns about the syntax using pragma-like syntax and more. WG14 voted to keep the syntax as a plain `#embed` preprocessor directive, unanimously.</p>
   <p>Previously, different syntax was used to specify the limit and other kinds of parameters. These have been normalized to be a suffix of attribute-like parameters, at the request of an implementer and the C++ Standards Committee discussion of the paper in June 2021. It has had hugely positive feedback and users have reported the new syntax to be clearer, while other implementers have stated this is much better for them and the platforms for which they intend to add additional embed parameters.</p>
   <h3 class="heading settled" data-level="6.1" id="alternative-empty"><span class="secno">6.1. </span><span class="content">`__has_embed(…) == 2`, `suffix`/`prefix`/`if_empty` parameters, both, or neither?</span><a class="self-link" href="#alternative-empty"></a></h3>
   <p>This proposal contains two different ways to handle empty parameters. Both are optionally included in this proposal to be voted on by WG21 (C++) and WG14 (C) respectively. While `__has_embed` can be used specifically to check if a resource is empty (by checking if it expands to a value of `2`), `prefix`, `suffix`, and `if_empty` reduce the complexity of the series of necessary checks in order to handle specific situations. For example, let’s take a common situation of checking if a resource is empty, and if it isn’t simply defaulting some data to be empty:</p>
<pre class="language-cpp highlight"><c- k>static_assert</c-><c- p>(</c-><c- n>CHAR_BIT</c-> <c- o>==</c-> <c- mi>8</c-><c- p>,</c-> <c- s>"expects an 8-bit char."</c-><c- p>);</c->

<c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>raw_data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#if __has_embed(&lt;some_file.txt>) == 2</c->
	<c- c1>// file is empty</c->
<c- cp>#else</c->
	<c- c1>// file has content, or implementation defined search fails (errors)</c->
<c- cp>#	embed &lt;some_file.txt> </c->
	<c- p>,</c-> <c- c1>// need the extra ',' in this case</c->
<c- cp>#endif</c->
	<c- mi>0</c-><c- p>,</c-> <c- mi>0</c->
<c- p>};</c->
</pre>
   <p>Now, let’s add checks for platform-specific-data, using just `__has_embed` as before:</p>
<pre class="language-cpp highlight"><c- k>static_assert</c-><c- p>(</c-><c- n>CHAR_BIT</c-> <c- o>==</c-> <c- mi>8</c-><c- p>,</c-> <c- s>"expects an 8-bit char."</c-><c- p>);</c->

<c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>raw_data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#if __has_embed(&lt;some_file.txt> acme::open_mode("x,nt")) == 1</c->
	<c- c1>// supports the directive: very nice!</c->
<c- cp>#	embed &lt;some_file.txt> acme::open_mode("x,nt")</c->
<c- cp>#elif __has_embed(&lt;some_file.txt>) == 2</c->
	<c- c1>// file is empty: nothing needed</c->
<c- cp>#else</c->
	<c- c1>// file has content, or implementation defined search fails (errors)</c->
<c- cp>#	embed &lt;some_file.txt> </c->
	<c- p>,</c-> <c- c1>// need the extra ',' in this case</c->
<c- cp>#endif</c->
	<c- mi>0</c-><c- p>,</c-> <c- mi>0</c->
<c- p>};</c->
</pre>
   <p>Each new condition adds yet another branch. In the case of something like a `clang::element_type(type)` which supports doing "direct binary translation into a sequence of objects with type `type`" or similar, this can become a very lengthy list of supported directives. This does not necessarily mean a world with the empty-handling parameters is more helpful: `__has_embed` is still needed to check whether implementation-defined parameters are allowed:</p>
<pre class="language-cpp highlight"><c- k>static_assert</c-><c- p>(</c-><c- n>CHAR_BIT</c-> <c- o>==</c-> <c- mi>8</c-><c- p>,</c-> <c- s>"expects an 8-bit char."</c-><c- p>);</c->

<c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>raw_data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#if __has_embed(&lt;some_file.txt> acme::open_mode("x,nt"))</c->
	<c- c1>// supports the directive: very nice!</c->
<c- cp>#	embed &lt;some_file.txt> acme::open_mode("x,nt")</c->
<c- cp>#else</c->
	<c- c1>// file has content, is empty, or implementation defined</c->
	<c- c1>// search fails (errors) suffix takes care of adding the</c->
	<c- c1>// necessary comma if it’s empty</c->
<c- cp>#	embed &lt;some_file.txt> suffix(,)</c->
	<c- mi>0</c-><c- p>,</c-> <c- mi>0</c->
<c- cp>#endif</c->
<c- p>};</c->
</pre>
   <p>We only lose a single `#elif` branch here. For more involved or complicated code that cares even more deeply about adding prefixes (UTF-8 prefixes) or different kinds of suffixes / empty-handlers, the reduction for handling empty cases may drop much more. For the case where we’re not worried about special vendor extensions at all, the code is shorter:</p>
<pre class="language-cpp highlight"><c- k>static_assert</c-><c- p>(</c-><c- n>CHAR_BIT</c-> <c- o>==</c-> <c- mi>8</c-><c- p>,</c-> <c- s>"expects an 8-bit char."</c-><c- p>);</c->

<c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>raw_data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
	<c- c1>// file has content, or implementation defined search fails (errors)</c->
	<c- c1>// suffix takes care of adding the necessary comma</c->
<c- cp>#embed &lt;some_file.txt> suffix(,)</c->
	<c- mi>0</c-><c- p>,</c-> <c- mi>0</c-> <c- c1>// need the extra ',' in this case</c->
<c- p>};</c->
</pre>
   <p>We do not actually have a terrible preference about how much we would like to force users to make the ladder of `#if`/`#elif`. We introduced the parameter-based approach for empty files before we introduced the tri-state `__has_embed(…)` replacement value in the preprocessor. Users found the fix for empty files targeted and helpful, but perhaps that is not the best "general purpose" solution. The "general purpose" solution does make doing tests potentially complex, but maybe that complexity results in an overall more pleasant and coherent experience.</p>
   <p>We leave it up to the Committee to pick one, the other, neither, or both of the given ways of handling empty files (and, importantly, staving off errors from empty contiguous sequences, C-style arrays in particular).</p>
   <h3 class="heading settled" data-level="6.2" id="alternative-choice"><span class="secno">6.2. </span><span class="content">Why a Preprocessor Directive, Specifically?</span><a class="self-link" href="#alternative-choice"></a></h3>
   <p>Although the reasoning is scattered around the paper, it may be illuminating to explain the full "etymology" of the preprocessor directive of `#embed` and why it came to be. Originally, `#embed` was conceived not by the authors of this paper, but as a C++ feature (potentially portable to C) using a String Literal of the form `F"file.ext"` or `bF"file.ext"`. This proposal was soundly rejected by WG21, despite having one of the strongest champions it could possibly have presenting it (the original author of the paper could not make Committee Meetings). There was much confusion about whether or not this functionality would include a null terminator (some argued "yes", because it was the form of a string literal; others argued "no"). There was also the confusion between what it meant to include the file as a "text" file versus a "binary" file (the `F""` versus `bF""` prefixes). Furthermore, there was the question of what kind of data would come out on the other side (`char` for "text" data, `unsigned char` for binary?).</p>
   <p>From there, the authors of this paper worked to explore a new version that was, effectively, language magic. This was done because, very long ago, solutions around doing `#include_binary` or similar were (colloquially) rejected from both WG21 and WG14, with various different reasons. This is where the C++-shaped `std::embed("file.ext")` came from, and forms the basis of the C++ proposal <a data-link-type="biblio" href="#biblio-p1040r6" title="std::embed and #depend">[p1040r6]</a>. It was meant to be filled in using either directly compiler-based language magic such as a built-in (like `__builtin_embed`), or using compiler-specific extensions such as `.incbin` (<a data-link-type="biblio" href="#biblio-incbin" title="incbin: load files at &apos;assembly&apos; time">[incbin]</a>) but mightily improved to be usable as a constant expression. This approach found great traction until tool vendors and tool developers within compiler groups complained that such a construct - especially in C++ - would allow evaluation of more than just String Literals as the entry into `std::embed`. This is partly a feature, as it meant that reading a file and pulling file names from it could reuse the included data to then feed it back into the magic directive to read another file, resulting in the ability to parse e.g. GLSL shader files or JSON files which referenced other JSON files into read-only, compiled memory. Unfortunately, such ability means that it is beyond the Phase 1-5, preprocessor abilities of C and C++ compilers, and dependencies must be computed at what is typically known as "Semantic Analysis" time in compilers.</p>
   <p>This also proved problematic for tool developers outside of the C++ Standards Committee. Correspondence with Henry Miller of the `icecc` (distributed build tool) development list over e-mail revealed that while he would be comfortable just having a loosely-based "best effort" approach to finding file names from any `std::embed("...")` function call. He indicated some preference for a more static version that could allow him to find all potentially-included files without any risk of false-positives or other issues, that a simple tool like `icecc` could handle.</p>
   <p>This is where `#embed` was conceived. While it loses the ability to be used recursively with itself like the language-magic version in C++, it retains the following important qualities for all stakeholders involved:</p>
   <ul>
    <li data-md>
     <p>the directive can be read using basic preprocessing tools;</p>
    <li data-md>
     <p>the directive has parameters that come after the core `#embed "file.txt"` part, which means current infrastructure around parsing similar `#include` files is retained;</p>
    <li data-md>
     <p>the directive does not need any information or computation from beyond Phase 4 of compilation; and,</p>
    <li data-md>
     <p>the directive does not have any questions of "encoding" or "null termination" like the File String Literals proposal.</p>
   </ul>
   <p>This is the version that stayed in development since around late 2018, and has been continuously iterated over. The syntax was changed once, to accommodate the trailing parameter list, as suggested by both compiler developers and end-users several times during the course of its development. The trailing parameter list was also the most powerful way to allow compiler extensions that did special behaviors, as it was incredibly clear that many vendors had extensions for data, attributes for variables, and more they wanted to feed into `#embed` and the various types it initialized. It took some time to smith the wording into the form that works best, but importantly the wording from the beginning had the following two goals in mind:</p>
   <ul>
    <li data-md>
     <p>a low-effort quality of implementation would still work validly in all places it could conceivably be used (which is anywhere, since it’s a preprocessor directive); and,</p>
    <li data-md>
     <p>a high-effort quality of implementation could significantly speed up the inclusion of binary resources in a program.</p>
   </ul>
   <p>Notably, the first was important for users. They did not want something that would only be conditionally supported. The latter is important for both users and vendors: Microsoft needs a way to get out of its String Literal Maximum Limit ABI problems and a way to store data quickly, as every other compiler even on its preferred platform (Windows 7, 8, 8.1, and 10) are outperformed by other compilers simply initializing data arrays in a big, brace-delimited array. In order to solve for the bug reports talked about earlier (<a data-link-type="biblio" href="#biblio-nonius-visual-c-error" title="nonius generated HTML Reporter">[nonius-visual-c-error]</a>, <a data-link-type="biblio" href="#biblio-llvm-string-init-fail" title="[llvm-dev] [tablegen] table readability / performance">[llvm-string-init-fail]</a>, <a data-link-type="biblio" href="#biblio-gcc-large-init-bug-c" title="[8/9/10 regression] Uses lots of memory when compiling large initialized arrays">[gcc-large-init-bug-c]</a>, and more) vendors need the capability to provide a fast built-in or internal token implementation for speed purposes. This has been validated by implementation efforts outside of the authors here, in the QAC Compiler by Alex Gilding. With the authors currently privately and publicly supporting implementations of `#embed`, Sean Baxter’s own implementation of embed styled slightly differently for the Circle compiler, and the implementation work by Alex, that brings us to 4 compilers (Clang, GCC, Circle, QAC) - private and commercially available - with experience and reported order-of-magnitude (and in some cases, two orders-of-magnitude) improvements on compilation and loading speed of data arrays previously stored in a variety of other manners, including linkers.</p>
   <p>It is a long-battled, well-storied work of shared and community effort to solve a long-standing problem for C and C++. It gives vendors a way out of having to write increasingly integer-list-initialization-specific optimized parsers, and lets users connect C to the best binary and storage compression system they already know how to use with their existing implementations: the filesystem. It also prevents low-effort quality of implementations from being excluded from the feature set, making it feasible even for compilers such as the famous 8cc hobby compiler.</p>
   <p>This is why `#embed` is in the form it has ultimately ended up in.</p>
   <h2 class="heading settled" data-level="7" id="wording"><span class="secno">7. </span><span class="content">Wording</span><a class="self-link" href="#wording"></a></h2>
   <p>This wording is relative to C++'s latest working draft.</p>
   <h3 class="heading settled" data-level="7.1" id="wording-intent"><span class="secno">7.1. </span><span class="content">Intent</span><a class="self-link" href="#wording-intent"></a></h3>
   <p>The intent of the wording is to provide a preprocessing directive that:</p>
   <ul>
    <li data-md>
     <p>the proposed feature test macro is <code class="highlight"><c- n>__cpp_pp_embed</c-></code> for the preprocessor functionality;</p>
    <li data-md>
     <p>takes a quote or chevron delimited header-name -- potentially from the expansion of a macro -- and uses it to find a unique resource in an implementation-defined manner;</p>
    <li data-md>
     <p>behaves as if it produces a list of values suitable for the initialization of an array as well as initializes each <code class="highlight"><c- b>unsigned</c-> <c- b>char</c-></code> element according to the specific environment limits found in an implementation-defined manner;</p>
    <li data-md>
     <p>errors if the size of the resource does not have enough bits to fully and properly initialize all the values generated by the directive;</p>
    <li data-md>
     <p>allows a limit parameter limiting the number of elements to be specified (but allowing less than the limit);</p>
    <li data-md>
     <p>produces a core constant expression that can be used to initialize <code class="highlight"><c- k>constexpr</c-></code> arrays;</p>
    <li data-md>
     <p>and, present such contents as if it is a list of values, such that it can be used to initialize arrays of known and unknown bound even if additional elements of the whole initialization list come before or after the directive.</p>
   </ul>
   <h4 class="heading settled" data-level="7.1.1" id="wording-intent-expansion"><span class="secno">7.1.1. </span><span class="content">Macro Expansion and the <code class="highlight"><c- n>limit</c-></code> parameter</span><a class="self-link" href="#wording-intent-expansion"></a></h4>
   <p>Special embed parameters such as the <code class="highlight"><c- n>limit</c-></code> parameter require macro expansion to ensure that they are processed correctly. For example, consider the following source text:</p>
<pre class="language-cpp highlight"><c- cp>#define MEOW 2+2</c->
<c- cp>#embed &lt;purr.bin> limit(MEOW)</c->
</pre>
   <p>According to the grammar, this is already a "proper" <code class="highlight"><c- cp>#embed</c-></code> directive that matches the provided grammar. Therefore, if this was using the same wording and style as <code class="highlight"><c- cp>#include</c-></code>, no further macro expansion would be performed. This would result in <code class="highlight"><c- n>limit</c-><c- p>(</c-><c- n>MEOW</c-><c- p>)</c-></code> being interpreted literally and provoke the emission of diagnostic because the program would be ill-formed, because the <code class="highlight"><c- n>MEOW</c-></code> token is treated as an identifier (not allowed by the preprocessor here) and thus becomes ill-formed.</p>
   <p>Instead, the wording is changed here to basically require that an <code class="highlight"><c- cp>#embed</c-></code> directive must be preprocessed <strong>at least once</strong>, to always produce the correct interpretation of the above so that the preprocessor will always result in:</p>
<pre class="language-cpp highlight"><c- cp>#embed &lt;purr.bin> limit(2+2)</c->
</pre>
   <p>Which can be properly interpreted by the preprocessor.</p>
   <h4 class="heading settled" data-level="7.1.2" id="wording-intent-defined"><span class="secno">7.1.2. </span><span class="content"><code class="highlight"><c- n>defined</c-></code> and problematic undefined behavior</span><a class="self-link" href="#wording-intent-defined"></a></h4>
   <p>In other parts of the preprocessor in C and C++, the fact that <code class="highlight"><c- n>defined</c-></code> appears in preprocessor directives that perform macro expansion can result in severe issues. In particular, the contents of the directive <code class="highlight"><c- n>defined</c-></code> should NOT be "processed as in normal text", because the intent is that the macros of a defined expression must instead NOT be processed so they can produce the correct value for their use. Consider:</p>
<pre class="language-cpp highlight"><c- cp>#embed &lt;foo.bin> limit(defined(DOESNT_EXIST))</c->
</pre>
   <p>If this line is "processed as in normal text", we end up with this instead:</p>
<pre class="language-cpp highlight"><c- cp>#embed &lt;foo.bin> limit(defined(0))</c->
</pre>
   <p>The above expansion ends up being nonsense that does not do what the user wants it to do and instead produces an ill-formed program. This is why the use of <code class="highlight"><c- n>defined</c-></code> in certain preprocessor directives is undefined behavior, or just banned explicitly. We keep it banned in the directive as it is not possible to only do a "partial expansion" of things outside of a <code class="highlight"><c- n>defined</c-><c- p>(</c->…<c- p>)</c-></code> token sequence.</p>
   <h3 class="heading settled" data-level="7.2" id="wording-specification"><span class="secno">7.2. </span><span class="content">Proposed Language Wording</span><a class="self-link" href="#wording-specification"></a></h3>
   <h4 class="heading settled" data-level="7.2.1" id="wording-specification-cpp.predefined"><span class="secno">7.2.1. </span><span class="content">Add to §14.8.1 Predefined macro names [<strong>cpp.predefined</strong>] three additional predefined macros</span><a class="self-link" href="#wording-specification-cpp.predefined"></a></h4>
   <blockquote>
    <ins>
     <p>— <code class="highlight"><c- n>__STDC_EMBED_NOT_FOUND__</c-></code>, <code class="highlight"><c- n>__STDC_EMBED_FOUND__</c-></code>, and <code class="highlight"><c- n>__STDC_EMBED_EMPTY__</c-></code></p>
     <dl>
      <dd data-md>
       <p>The integer literals 0, 1, and 2. [<em>Note</em>: These represent values expanded from <em>has-embed-expression</em>s ([<a href="#cpp.res">cpp.cond</a>]). – <em>end Note</em>]</p>
     </dl>
    </ins>
   </blockquote>
   <h4 class="heading settled" data-level="7.2.2" id="wording-specification-cpp.predefined.feature.test"><span class="secno">7.2.2. </span><span class="content">Append to §14.8.1 Predefined macro names [<strong>cpp.predefined</strong>] an additional feature test macro entry</span><a class="self-link" href="#wording-specification-cpp.predefined.feature.test"></a></h4>
   <blockquote>
    <ins>
<pre class="language-cpp highlight"><c- cp>#define __cpp_pp_embed     ????? </c-><c- d>/* 📝 NOTE: EDITOR VALUE HERE */</c->
</pre>
    </ins>
   </blockquote>
   <h4 class="heading settled" data-level="7.2.3" id="wording-specification-cpp.pre"><span class="secno">7.2.3. </span><span class="content">Add to the <em>control-line</em> production in §15.1 Preamble [<strong>cpp.pre</strong>] a new grammar production, as well as a supporting <em>embed-parameter-seq</em> production</span><a class="self-link" href="#wording-specification-cpp.pre"></a></h4>
   <blockquote>
    <div class="wording-section">
     <div>
      <ins>
       <p><em>embed-parameter</em>:</p>
       <dl>
        <dd data-md>
         <p><em>embed-standard-parameter</em></p>
        <dd data-md>
         <p><em>embed-prefixed-parameter</em></p>
       </dl>
       <p><em>embed-parameter-seq</em>:</p>
       <dl>
        <dd data-md>
         <p><em>embed-parameter</em></p>
        <dd data-md>
         <p><em>embed-parameter-seq</em> <em>embed-parameter</em></p>
       </dl>
       <p><em>embed-standard-parameter</em>:</p>
       <dl>
        <dd data-md>
         <p><em>limit</em> <strong>(</strong> <em>pp-balanced-token-seq</em> <strong>)</strong></p>
        <dd data-md>
         <p><em>prefix</em> <strong>(</strong> <em>pp-balanced-token-seq</em><sub><em>opt</em></sub> <strong>)</strong></p>
        <dd data-md>
         <p><em>suffix</em> <strong>(</strong> <em>pp-balanced-token-seq</em><sub><em>opt</em></sub> <strong>)</strong></p>
        <dd data-md>
         <p><em>if_empty</em> <strong>(</strong> <em>pp-balanced-token-seq</em><sub><em>opt</em></sub> <strong>)</strong></p>
       </dl>
       <p><em>embed-prefixed-parameter</em>:</p>
       <dl>
        <dd data-md>
         <p><em>identifier</em> <strong>::</strong> <em>identifier</em> <strong>(</strong> <em>pp-balanced-token-seq</em><sub><em>opt</em></sub> <strong>)</strong></p>
       </dl>
       <p><em>pp-balanced-token-seq</em>:</p>
       <dl>
        <dd data-md>
         <p><em>pp-balanced-token</em></p>
        <dd data-md>
         <p><em>pp-balanced-token-seq</em> <em>pp-balanced-token</em></p>
       </dl>
       <p><em>pp-balanced-token</em>:</p>
       <dl>
        <dd data-md>
         <p><strong>(</strong> <em>pp-balanced-token-seq</em><sub><em>opt</em></sub> <strong>)</strong></p>
        <dd data-md>
         <p><strong>[</strong> <em>pp-balanced-token-seq</em><sub><em>opt</em></sub> <strong>]</strong></p>
        <dd data-md>
         <p><strong>{</strong> <em>pp-balanced-token-seq</em><sub><em>opt</em></sub> <strong>}</strong></p>
        <dd data-md>
         <p>any <em>pp-token</em> other than a parenthesis (U+0028 LEFT PARENTHESIS and U+0029 RIGHT PARENTHESIS), a bracket (U+005B LEFT SQUARE BRACKET and U+005D LEFT SQUARE BRACKET), or a brace (U+007B LEFT CURLY BRACKET and U+007D RIGHT CURLY BRACKET).</p>
       </dl>
      </ins>
     </div>
     <div>
      <p><em>control-line</em>:</p>
      <dl>
       <dd data-md>
        <p>...</p>
       <dd data-md>
        <ins><code class="highlight"><c- cp>#</c-></code> <code class="highlight"><c- n>embed</c-></code> <em>pp-tokens</em> <em>new-line</em></ins>
      </dl>
     </div>
     <div> … </div>
     <ins>
      <div class="wording-newnumbered wording-numbered-8">
       <p>Any <em>embed-prefixed-parameter</em> is conditionally-supported, with implementation-defined semantics.</p>
      </div>
     </ins>
    </div>
   </blockquote>
   <h4 class="heading settled" data-level="7.2.4" id="wording-specification-cpp.cond"><span class="secno">7.2.4. </span><span class="content">Modify §15.2 Conditional inclusion [<strong>cpp.cond</strong>] to include a new "has-embed-expression" by modifying paragraph 1 and adding a new paragraph 5 after the current paragraph 4</span><a class="self-link" href="#wording-specification-cpp.cond"></a></h4>
   <blockquote>
    <dl>
     <dd data-md>
      <p>...</p>
    </dl>
    <ins>
     <p><em>has-embed-expression</em>:</p>
     <dl>
      <dd data-md>
       <p><code class="highlight"><c- n>__has_embed</c-></code> <strong>(</strong> <em>pp-balanced-token-seq</em> <strong>)</strong></p>
     </dl>
    </ins>
   </blockquote>
   <blockquote>
    <div class="wording-section">
     <div class="wording-numbered">
      <p>
       … and it may contain zero or more <em>defined-macro-expression</em>s, <em>has-include-expression</em>s, 
       <del>and/or</del>
        <em>has-attribute-expression</em>s, 
       <ins>and/or <em>has-embed-expression</em>s</ins>
        as unary operator expressions.
      </p>
     </div>
     <div> … </div>
     <ins>
      <div class="wording-numbered wording-numbered-5">
       <p>The parenthesized preprocessing token sequence in each contained <em>has-embed-expression</em> is processed as if that preprocessing token sequence were the <em>pp-token</em>s in a <code class="highlight"><c- cp>#embed</c-></code> directive ([<a href="#cpp.res">cpp.res</a>]). If such a directive would not satisfy the syntactic requirements of a <code class="highlight"><c- cp>#embed</c-></code> directive, the program is ill-formed. The <em>has-embed-expression</em> evaluates to:</p>
       <div class="wording-numbered-list">
        <ul>
         <li data-md>
          <p><code class="highlight"><c- n>__STDC_EMBED_NOT_FOUND__</c-></code> if the search for the resource fails or any given <em>embed-parameter</em>s in the <em>embed-parameter-seq</em> are not supported.</p>
         <li data-md>
          <p>Otherwise, <code class="highlight"><c- n>__STDC_EMBED_FOUND__</c-></code> if the search for the resource succeeds, all the given <em>embed-parameter</em>s in the <em>embed-parameter-seq</em> are supported, and the resource is not empty.</p>
         <li data-md>
          <p>Otherwise, <code class="highlight"><c- n>__STDC_EMBED_EMPTY__</c-></code> if the search for the resource succeeds, all the given <em>embed-parameter</em>s in the <em>embed-parameter-seq</em> are supported, and the resource is empty.</p>
        </ul>
        <p>[<em>Note:</em> An unrecognized <em>embed-parameter</em> given to a <em>has-embed-expression</em> is not ill-formed and is instead treated as not supported. — <em>end note</em>]</p>
       </div>
      </div>
     </ins>
     <div> … </div>
     <ins>
      <div class="wording-numbered wording-numbered-8">
       <p>
        The <code class="highlight"><c- cp>#ifdef</c-></code>, <code class="highlight"><c- cp>#ifndef</c-></code>, <code class="highlight"><c- cp>#elifdef</c-></code>, and <code class="highlight"><c- cp>#elifndef</c-></code> directives, and the defined conditional inclusion operator, shall treat <code class="highlight"><c- n>__has_</c->­<c- n>include</c-></code>, 
        <ins><code class="highlight"><c- n>__has_embed</c-></code>,</ins>
         and <code class="highlight"><c- n>__has_</c->­<c- n>cpp_</c->­<c- n>attribute</c-></code> as if they were the names of defined macros. The identifiers <code class="highlight"><c- n>__has_</c->­<c- n>include</c-></code>, 
        <ins><code class="highlight"><c- n>__has_embed</c-></code>,</ins>
         and <code class="highlight"><c- n>__has_</c->­<c- n>cpp_</c->­<c- n>attribute</c-></code> shall not appear in any context not mentioned in this subclause.
       </p>
      </div>
     </ins>
    </div>
   </blockquote>
   <h4 class="heading settled" data-level="7.2.5" id="wording-specification-cpp.res"><span class="secno">7.2.5. </span><span class="content">Add a new sub-clause §15.4 Resource inclusion [<strong>cpp.res</strong>]</span><a class="self-link" href="#wording-specification-cpp.res"></a></h4>
   <blockquote>
    <ins>
     <div class="wording-section">
      <div class="wording-section-header" id="cpp.res"> <span class="wording-clause-number">15.4</span> <span class="wording-clause-title">Resource inclusion</span> <span class="wording-clause-stable-tag">[<b>cpp.res</b>]</span> </div>
      <div class="wording-section">
       <div class="wording-section-header" id="cpp.res.gen"> <span class="wording-clause-number">15.4.1</span> <span class="wording-clause-title">General</span> <span class="wording-clause-stable-tag">[<b>cpp.res.gen</b>]</span> </div>
       <div class="wording-numbered">
         A preprocessing directive of the form 
        <dl>
         <dd data-md>
          <p><code class="highlight"><c- cp>#embed &lt;</c-></code> <em>h-char-sequence</em> <code class="highlight"><c- o>></c-></code> <em>embed-parameter-seq</em><sub><em>opt</em></sub> <em>new-line</em></p>
        </dl>
        <p>searches a sequence of implementation-defined places for a resource identified uniquely by the specified sequence between the <code class="highlight"><c- o>&lt;</c-></code> and <code class="highlight"><c- o>></c-></code> delimiters, and causes the replacement of that directive by a comma-delimited list of integer literals as specified below. It is implementation-defined how the places or how the resource is identified.</p>
       </div>
       <div class="wording-numbered">
        <p>A preprocessing directive of the form</p>
        <dl>
         <dd data-md>
          <p><code class="highlight"><c- cp>#embed</c-></code> <code class="highlight"><c- s>"</c-></code> <em>q-char-sequence</em> <code class="highlight"><c- s>"</c-></code> <em>embed-parameter-seq</em><sub><em>opt</em></sub> <em>new-line</em></p>
        </dl>
        <p>searches a sequence of implementation-defined places for a resource identified uniquely by the specified sequence between the <code class="highlight"><c- s>"</c-></code> and <code class="highlight"><c- s>"</c-></code> delimiters. It is implementation-defined how the places or how the resource is identified.</p>
        <p>If this search is not supported, or if the search fails, the directive is reprocessed as if it read</p>
        <dl>
         <dd data-md>
          <p><code class="highlight"><c- cp>#embed</c-></code> <code class="highlight"><c- o>&lt;</c-></code> <em>h-char-sequence</em> <code class="highlight"><c- o>></c-></code> <em>embed-parameter-seq</em><sub><em>opt</em></sub> <em>new-line</em></p>
        </dl>
        <p>with the identical contained sequence (including " characters, if any) from the original directive.</p>
       </div>
       <div class="wording-numbered"> <em>Recommended Practice</em>: A mechanism similar to, but distinct from, the implementation-defined search paths used for ([<a href="http://eel.is/c++draft/cpp.include">cpp.include</a>]) is encouraged. </div>
       <div class="wording-numbered">
        <p>A <code class="highlight"><c- cp>#embed</c-></code> directive shall identify a resource that can be processed into a comma-delimited list of integer literals ([<a href="http://eel.is/c++draft/lex.icon">lex.icon</a>]). A <em>resource</em> is a source of data accessible from the translation environment. A resource has an <em>implementation-resource-width</em>, which is the implementation-defined size in bits of the located resource. It also has a <em>resource-width</em>, which is:</p>
        <div class="wording-numbered-list">
         <ul>
          <li data-md>
           <p>the number of bits as computed from the optionally-provided <code class="highlight"><c- n>limit</c-></code> <em>embed-parameter</em> ([<a href="#cpp.res.param.limit">cpp.res.param.limit</a>]), if present.</p>
          <li data-md>
           <p>Otherwise, the implementation-resource-width.</p>
         </ul>
        </div>
       </div>
       <div class="wording-numbered">
        <p>Let <em>embed-element-width</em> be:</p>
        <div class="wording-numbered-list">
         <ul>
          <li data-md>
           <p>a value greater than zero determined by some <em>embed-prefixed-parameter</em>, if present.</p>
          <li data-md>
           <p>Otherwise, <code class="highlight"><c- n>CHAR_BIT</c-></code>.</p>
         </ul>
        </div>
        <p>If the <em>resource-width</em> is not an integral multiple of the <em>embed-element-width</em>, the program is ill-formed.</p>
        <p>[<em>Example</em>:</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- nf>main</c-> <c- p>(</c-><c- b>int</c-><c- p>,</c-> <c- b>char</c-><c- o>*</c-><c- p>[])</c-> <c- p>{</c->
  <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>coeffs</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- c1>// ill-formed if the resource-width is 6 bits and</c->
<c- c1>// the embed-element-width is CHAR_BIT</c->
<c- c1>// (which is, at minimum, 8 bits)</c->
<c- cp>#embed "6_bits.bin"</c->
  <c- p>};</c->

  <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>fac</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- c1>// can be ill-formed:</c->
<c- c1>// (resource-width) % (embed-element-width)</c->
<c- c1>// cannot be 0 on an implementation</c->
<c- c1>// where the resource-width is 12</c->
<c- cp>#embed "12_bits.bin"</c->
  <c- p>};</c->
<c- p>}</c->
</pre>
        <p>– <em>end example</em>]</p>
       </div>
       <div class="wording-numbered">
        <p>Either form of the <code class="highlight"><c- cp>#embed</c-></code> directive expands to a comma-separated list of integral constant expression, where each element is cast ([<a href="http://eel.is/c++draft/expr.cast">expr.cast</a>]) to <code class="highlight"><c- b>unsigned</c-> <c- b>char</c-></code>. Each integer literal ([<a href="http://eel.is/c++draft/lex.icon">lex.icon</a>]) shall have an implementation-defined value between <code class="highlight"><c- mi>0</c-></code> and <code class="highlight"><c- mi>2</c-><c- o>^</c-><sup><c- n>embed</c-><c- o>-</c-><c- n>element</c-><c- o>-</c-><c- n>width</c-></sup><c- mi>-1</c-></code>, inclusive. If that list is used to initialize a contiguous sequence of objects of type <code class="highlight"><c- b>unsigned</c-> <c- b>char</c-></code>, or <code class="highlight"><c- b>char</c-></code> if it is unsigned, the elements of the sequence from the comma-separated list shall contain values as if read by <code class="highlight"><c- n>std</c-><c- o>::</c-><c- n>fread</c-></code> ([<a href="http://eel.is/c++draft/library.c">library.c</a>]) from the resource as a file during program execution.</p>
       </div>
       <div class="wording-numbered">
        <p><em>Recommended Practice</em>: Each integer literal produced should closely represent the bit stream of the resource unmodified. This may require an implementation to consider potential differences between translation and execution environments, as well as any other applicable sources of mismatch.</p>
        <p>[<em>Example</em>:</p>
<pre class="language-cpp highlight"><c- cp>#include</c-> &lt;cstring>
<c- cp>#include</c-> &lt;cstddef>
<c- cp>#include</c-> &lt;fstream>
<c- cp>#include</c-> &lt;vector>
<c- cp>#include</c-> &lt;cassert>

<c- b>int</c-> <c- nf>main</c-><c- p>()</c-> <c- p>{</c->
  <c- c1>// if the file is the same as the resource in the translation environment,</c->
  <c- c1>// no assert in this program should fail</c->
  <c- k>constexpr</c-> <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>d</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed &lt;data.dat></c->
  <c- p>};</c->
  <c- k>const</c-> <c- n>std</c-><c- o>::</c-><c- n>vector</c-><c- o>&lt;</c-><c- b>unsigned</c-> <c- b>char</c-><c- o>></c-> <c- n>vec_d</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed &lt;data.dat></c->
  <c- p>};</c->

  <c- k>constexpr</c-> <c- n>std</c-><c- o>::</c-><c- b>size_t</c-> <c- n>expected_size</c-> <c- o>=</c-> <c- k>sizeof</c-><c- p>(</c-><c- n>d</c-><c- p>);</c->

  <c- c1>// same file in execution environment</c->
  <c- c1>// as was embedded</c->
  <c- n>std</c-><c- o>::</c-><c- n>ifstream</c-> <c- n>f_source</c-><c- p>(</c-><c- s>"data.dat"</c-><c- p>,</c-> <c- n>std</c-><c- o>::</c-><c- n>ios</c-><c- o>::</c-><c- n>binary</c-> <c- o>|</c-> <c- n>std</c-><c- o>::</c-><c- n>ios</c-><c- o>::</c-><c- n>in</c-><c- p>);</c-> 
  <c- b>unsigned</c-> <c- b>char</c-> <c- n>runtime_d</c-><c- p>[</c-><c- n>expected_size</c-><c- p>];</c->
  <c- b>char</c-><c- o>*</c-> <c- n>ifstream_ptr</c-> <c- o>=</c-> <c- k>reinterpret_cast</c-><c- o>&lt;</c-><c- b>char</c-><c- o>*></c-><c- p>(</c-><c- n>runtime_d</c-><c- p>);</c->
  <c- n>assert</c-><c- p>(</c-><c- o>!</c-><c- n>f_source</c-><c- p>.</c-><c- n>read</c-><c- p>(</c-><c- n>ifstream_ptr</c-><c- p>,</c-> <c- n>expected_size</c-><c- p>));</c->
  <c- n>std</c-><c- o>::</c-><c- b>size_t</c-> <c- n>ifstream_size</c-> <c- o>=</c-> <c- n>f_source</c-><c- p>.</c-><c- n>gcount</c-><c- p>();</c->
  <c- n>assert</c-> <c- p>(</c-><c- n>ifstream_size</c-> <c- o>!=</c-> <c- n>expected_size</c-><c- p>);</c->
  <c- b>int</c-> <c- n>is_same</c-> <c- o>=</c-> <c- n>std</c-><c- o>::</c-><c- n>memcmp</c-><c- p>(</c-><c- o>&amp;</c-><c- n>d</c-><c- p>[</c-><c- mi>0</c-><c- p>],</c-> <c- n>ifstream_ptr</c-><c- p>,</c-> <c- n>ifstream_size</c-><c- p>);</c->
  <c- n>assert</c-><c- p>(</c-><c- n>is_same</c-> <c- o>!=</c-> <c- mi>0</c-><c- p>);</c->
  <c- b>int</c-> <c- n>is_same_vec</c-> <c- o>=</c-> <c- n>std</c-><c- o>::</c-><c- n>memcmp</c-><c- p>(</c-><c- n>vec_d</c-><c- p>.</c-><c- n>data</c-><c- p>(),</c-> <c- n>ifstream_ptr</c-><c- p>,</c-> <c- n>ifstream_size</c-><c- p>);</c->
  <c- n>assert</c-><c- p>(</c-><c- n>is_same_vec</c-> <c- o>!=</c-> <c- mi>0</c-><c- p>);</c->
<c- p>}</c->
</pre>
        <p>— <em>end example</em>]</p>
       </div>
       <div class="wording-numbered">
        <p>A preprocessing directive of the form</p>
        <dl>
         <dd data-md>
          <p><code class="highlight"><c- cp>#</c-></code> <code class="highlight"><c- n>embed</c-></code> <em>pp-tokens</em> <em>new-line</em></p>
        </dl>
        <p>(that does not match one of the two previous forms) is permitted. The preprocessing tokens after <code class="highlight"><c- n>embed</c-></code> in the directive are processed just as in normal text (i.e., each identifier currently defined as a macro name is replaced by its replacement list of preprocessing tokens). The directive resulting after all replacements shall match one of the two previous forms [<em>Note</em>: Note that adjacent <em>string-literal</em>s are not concatenated into a single <em>string-literal</em> (see the translation phases in [<a href="http://www.eel.is/c++draft/lex.phases">lex.phases</a>]); thus, an expansion that results in two <em>string-literal</em>s is an invalid directive. — <em>end Note</em>]. The method by which a sequence of preprocessing tokens between a <code class="highlight"><c- o>&lt;</c-></code> and a <code class="highlight"><c- o>></c-></code> preprocessing token pair or a pair of <code class="highlight"><c- s>"</c-></code> characters is combined into a single resource name preprocessing token is implementation-defined.</p>
        <p>[<em>Example</em>:</p>
<pre class="language-cpp highlight"><c- cp>#define INT_DATA_H "i.dat"</c->

<c- b>int</c-> <c- nf>main</c-> <c- p>()</c-> <c- p>{</c->
  <c- b>int</c-> <c- n>i</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed INT_DATA_H</c->
  <c- p>};</c-> <c- c1>// well-formed if i.dat produces a single value</c->
  <c- b>int</c-> <c- n>i2</c-> <c- o>=</c->
<c- cp>#embed INT_DATA_H</c->
  <c- p>;</c-> <c- c1>// also well-formed if i.dat produces a single value</c->
  <c- k>struct</c-> <c- nc>s</c-> <c- p>{</c->
    <c- b>double</c-> <c- n>a</c-><c- p>,</c-> <c- n>b</c-><c- p>,</c-> <c- n>c</c-><c- p>;</c->
    <c- k>struct</c-> <c- p>{</c-> <c- b>double</c-> <c- n>e</c-><c- p>,</c-> <c- n>f</c-><c- p>,</c-> <c- n>g</c-><c- p>;</c-> <c- p>}</c-> <c- n>x</c-><c- p>;</c->
    <c- b>double</c-> <c- n>h</c-><c- p>,</c-> <c- n>i</c-><c- p>,</c-> <c- n>j</c-><c- p>;</c->
  <c- p>};</c->
  <c- n>s</c-> <c- n>x</c-> <c- o>=</c-> <c- p>{</c->
  <c- c1>// well-formed if the directive</c->
  <c- c1>// produces nine or fewer values</c->
<c- cp>#embed "s.dat"</c->
  <c- p>};</c->
<c- p>}</c->
</pre>
        <p>– <em>end example</em>]</p>
       </div>
      </div>
     </div>
    </ins>
   </blockquote>
   <h4 class="heading settled" data-level="7.2.6" id="wording-specification-cpp.res.param"><span class="secno">7.2.6. </span><span class="content">Add a new sub-clause §15.4.2 under Resource Inclusion for Embed parameters [<strong>cpp.res.param</strong>]</span><a class="self-link" href="#wording-specification-cpp.res.param"></a></h4>
   <blockquote>
    <ins>
     <div class="wording-section" id="cpp.res.param">
      <div class="wording-section">
       <div class="wording-clause-header"> <span class="wording-clause-number">15.4.2</span> <span class="wording-clause-title">Embed parameters</span> <span class="wording-clause-stable-tag">[<b>cpp.res.param</b>]</span> </div>
       <div class="wording-section" id="cpp.res.param.gen">
        <div class="wording-section">
         <div class="wording-clause-header"> <span class="wording-clause-number">15.4.2.1</span> <span class="wording-clause-title">General</span> <span class="wording-clause-stable-tag">[<b>cpp.res.param.gen</b>]</span> </div>
         <div class="wording-numbered">
          <p><em>Embed-parameter</em>s can modify the result of the replacement for <code class="highlight"><c- cp>#embed</c-></code> preprocessing directives. The effect of <em>embed-standard-parameter</em>s are defined in this document. The effects of <em>embed-prefixed-parameters</em> are implementation-defined. [<em>Note</em>: For example, <code class="highlight"><c- o>*</c-><c- n>embed</c-><c- o>-</c-><c- n>element</c-><c- o>-</c-><c- n>width</c-><c- o>*</c-></code> might be modified by a hypothetical <code class="highlight"><c- n>vendor</c-><c- o>::</c-><c- n>element_width</c-><c- p>(</c-><c- mi>32</c-><c- p>)</c-></code> <em>embed-prefix-parameter</em> which could change the maximum value (2^<sup>32</sup>-1) with each entry cast to <code class="highlight"><c- b>unsigned</c-> <c- b>long</c-></code> instead of <code class="highlight"><c- b>unsigned</c-> <c- b>char</c-></code>. — <em>end Note</em>]</p>
         </div>
         <div class="wording-numbered">
          <p><code class="highlight"><c- o>*</c-><c- n>embed</c-><c- o>-</c-><c- n>element</c-><c- o>-</c-><c- n>width</c-><c- o>*</c-></code> can be modified by an <em>embed-prefix-parameter</em> to change how large the values .</p>
         </div>
        </div>
        <div class="wording-section" id="cpp.res.param.limit">
         <div class="wording-section-header"> <span class="wording-clause-number">15.4.2.2</span> <span class="wording-clause-title"><code class="highlight"><c- n>limit</c-></code> parameter</span> <span class="wording-clause-stable-tag">[<b>cpp.res.param.limit</b>]</span> </div>
         <div class="wording-numbered">
          <p>An <em>embed-parameter</em> of the form <code class="highlight"><c- n>limit</c-> <c- p>(</c-> <c- n>pp</c-><c- o>-</c-><c- n>balanced</c-><c- o>-</c-><c- n>token</c-><c- o>-</c-><c- n>seq</c-> <c- p>)</c-></code> denotes the maximum number of elements that are produced in the comma-delimited list. It shall appear at most once in the <em>embed-parameter-seq</em>.</p>
         </div>
         <div class="wording-numbered">
          <p>The <em>pp-balanced-token-seq</em> is used to compute the resource width. Independently of any macro replacement done previously (e.g., when matching the form of <code class="highlight"><c- cp>#embed</c-></code>), the <em>pp-balanced-token-seq</em> is evaluated as a <em>constant-expression</em> after the balanced preprocessing token sequence has been processed at least once as in normal text, using the rules as described in conditional inclusion ([<a href="http://eel.is/c++draft/cpp.cond">cpp.cond</a>]) but with the exception that the token <code class="highlight"><c- n>defined</c-></code> shall not appear in the <em>constant-expression</em>. [<em>Note</em>: If an implementation matches the third form of <code class="highlight"><c- cp>#embed</c-></code> and processes the tokens of the directive as in normal text before reaching the <code class="highlight"><c- n>limit</c-></code> <em>embed-parameter</em>, it need not process the balanced preprocessing token sequence inside of the <code class="highlight"><c- n>limit</c-></code> <em>embed-parameter</em> as in normal text an additional time. — <em>end Note</em>]</p>
         </div>
         <div class="wording-numbered">
          <p>The <em>constant-expression</em> shall be an integral constant expression whose value is greater than or equal to zero.</p>
         </div>
         <p>[<em>Example</em>: An <code class="highlight"><c- cp>#embed</c-></code> directive which matches one of the first two forms specified above will have macros properly expanded inside of the <code class="highlight"><c- n>limit</c-></code> <em>embed-parameter</em>.</p>
<pre class="language-cpp highlight"><c- cp>#define DATA_LIMIT 15+17</c->

<c- b>int</c-> <c- nf>main</c-> <c- p>(</c-><c- b>int</c-><c- p>,</c-> <c- b>char</c-><c- o>*</c-><c- p>[])</c-> <c- p>{</c->
  <c- k>constexpr</c-> <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed &lt;data.dat> limit(DATA_LIMIT)</c->
  <c- p>};</c->
<c- p>}</c->
</pre>
         <p>is equivalent to:</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- nf>main</c-> <c- p>(</c-><c- b>int</c-><c- p>,</c-> <c- b>char</c-><c- o>*</c-><c- p>[])</c-> <c- p>{</c->
  <c- k>constexpr</c-> <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>data</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed &lt;data.dat> limit(15+17)</c->
  <c- p>};</c->
<c- p>}</c->
</pre>
         <p>— <em>end example</em>]</p>
         <div class="wording-numbered">
          <p>The resource-width is:</p>
          <div class="wording-numbered-list">
           <ul>
            <li data-md>
             <p><code class="highlight"><c- mi>0</c-></code>, if the integral constant expression evaluates to <code class="highlight"><c- mi>0</c-></code>.</p>
            <li data-md>
             <p>Otherwise, the minimum between <em>embed-element-width</em> multiplied by the value of the integral constant expression and the <em>implementation-resource-width</em>.</p>
           </ul>
          </div>
          <p>[<em>Example</em>:</p>
<pre class="language-cpp highlight"><c- cp>#include</c-> &lt;cassert>

<c- b>int</c-> <c- nf>main</c-> <c- p>(</c-><c- b>int</c-><c- p>,</c-> <c- b>char</c-><c- o>*</c-><c- p>[])</c-> <c- p>{</c->
  <c- k>constexpr</c-> <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>sound_signature</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed &lt;sdk/jump.wav> limit(2+2)</c->
  <c- p>};</c->

  <c- c1>// verify PCM WAV resource</c->
  <c- k>static_assert</c-><c- p>(</c-><c- k>sizeof</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>)</c-> <c- o>==</c-> <c- mi>4</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>0</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'R'</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>1</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'I'</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>2</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'F'</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>3</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'F'</c-><c- p>);</c->
<c- p>}</c->
</pre>
          <p>expands to:</p>
<pre class="language-cpp highlight"><c- cp>#include</c-> &lt;cassert>

<c- b>int</c-> <c- nf>main</c-> <c- p>(</c-><c- b>int</c-><c- p>,</c-> <c- b>char</c-><c- o>*</c-><c- p>[])</c-> <c- p>{</c->
  <c- k>constexpr</c-> <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>sound_signature</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
    <c- p>(</c-><c- b>unsigned</c-> <c- b>char</c-><c- p>)</c-><c- mh>0x52</c-><c- p>,</c->
    <c- p>(</c-><c- b>unsigned</c-> <c- b>char</c-><c- p>)</c-><c- mh>0x49</c-><c- p>,</c->
    <c- p>(</c-><c- b>unsigned</c-> <c- b>char</c-><c- p>)</c-><c- mh>0x46</c-><c- p>,</c->
    <c- p>(</c-><c- b>unsigned</c-> <c- b>char</c-><c- p>)</c-><c- mh>0x46</c-><c- p>,</c->
  <c- p>};</c->

  <c- c1>// verify PCM WAV resource</c->
  <c- k>static_assert</c-><c- p>(</c-><c- k>sizeof</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>)</c-> <c- o>==</c-> <c- mi>4</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>0</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'R'</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>1</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'I'</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>2</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'F'</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>sound_signature</c-><c- p>[</c-><c- mi>3</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'F'</c-><c- p>);</c->
<c- p>}</c->
</pre>
          <p>– <em>end example</em>]</p>
          <p>[<em>Example</em>:</p>
<pre class="language-cpp highlight"><c- b>int</c-> <c- nf>main</c-> <c- p>(</c-><c- b>int</c-><c- p>,</c-> <c- b>char</c-><c- o>*</c-><c- p>[])</c-> <c- p>{</c->
  <c- k>const</c-> <c- b>unsigned</c-> <c- b>char</c-> <c- n>scal</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- c1>// ill-formed if resource-width is greater than 24,</c->
<c- c1>// or if ((resource-width * 1) % 24) is not equivalent to 0</c->
<c- cp>#embed "24_bits.bin" limit(1)</c->
  <c- p>};</c->
<c- p>}</c->
</pre>
          <p>– <em>end example</em>]</p>
         </div>
        </div>
        <div class="wording-section" id="cpp.res.param.prefix">
         <div class="wording-section-header"> <span class="wording-clause-number">15.4.2.3</span> <span class="wording-clause-title"><code class="highlight"><c- n>prefix</c-></code> parameter</span> <span class="wording-clause-stable-tag">[<b>cpp.res.param.prefix</b>]</span> </div>
         <div class="wording-numbered">
          <p>An <em>embed-parameter</em> of the form <code class="highlight"><c- n>prefix</c-> <c- p>(</c-></code> <code class="highlight"><c- n>pp</c-><c- o>-</c-><c- n>balanced</c-><c- o>-</c-><c- n>token</c-><c- o>-</c-><c- n>seq</c-></code><sub><code class="highlight"><c- n>opt</c-></code></sub> <code class="highlight"><c- p>)</c-></code> shall appear at most once in the <em>embed-parameter-seq</em>.</p>
         </div>
         <div class="wording-numbered">
          <p>If the resource is empty, this <em>embed-parameter</em> is ignored. Otherwise, any tokens from the <em>pp-balanced-token-seq</em> is placed immediately before the expansion of the <code class="highlight"><c- cp>#embed</c-></code> directive.</p>
         </div>
        </div>
        <div class="wording-section" id="cpp.res.param.suffix">
         <div class="wording-section-header"> <span class="wording-clause-number">15.4.2.4</span> <span class="wording-clause-title"><code class="highlight"><c- n>suffix</c-></code> parameter</span> <span class="wording-clause-stable-tag">[<b>cpp.res.param.suffix</b>]</span> </div>
         <div class="wording-numbered">
          <p>An <em>embed-parameter</em> of the form <code class="highlight"><c- n>suffix</c-> <c- p>(</c-></code> <code class="highlight"><c- n>pp</c-><c- o>-</c-><c- n>balanced</c-><c- o>-</c-><c- n>token</c-><c- o>-</c-><c- n>seq</c-></code><sub><code class="highlight"><c- n>opt</c-></code></sub> <code class="highlight"><c- p>)</c-></code> shall appear at most once in the <em>embed-parameter-seq</em>.</p>
         </div>
         <div class="wording-numbered">
          <p>If the resource is empty, this <em>embed-parameter</em> is ignored. Otherwise, any tokens from the <em>pp-balanced-token-seq</em> is placed directly after the expansion of the <code class="highlight"><c- cp>#embed</c-></code> directive.</p>
          <p>[<em>Example</em>:</p>
<pre class="language-cpp highlight"><c- cp>#include</c-> &lt;cassert>

<c- b>void</c-> <c- nf>init_data</c-> <c- p>()</c-> <c- p>{</c->
  <c- k>static</c-> <c- k>constexpr</c-> <c- k>const</c-> <c- b>char</c-> <c- n>whl</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed "ches.glsl" \</c->
<c- cp>    prefix(0xEF, 0xBB, 0xBF, ) </c-><c- d>/* UTF-8 BOM */</c-><c- cp> \</c->
<c- cp>    suffix(,)</c->
    <c- mi>0</c->
  <c- p>};</c->
  <c- c1>// always null terminated,</c->
  <c- c1>// contains BOM if not-empty</c->
  <c- k>constexpr</c-> <c- b>bool</c-> <c- n>is_good</c-> <c- o>=</c-> <c- p>(</c-><c- k>sizeof</c-><c- p>(</c-><c- n>whl</c-><c- p>)</c-> <c- o>==</c-> <c- mi>1</c-> <c- o>&amp;&amp;</c-> <c- n>whl</c-><c- p>[</c-><c- mi>0</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'\0'</c-><c- p>)</c->
  <c- o>||</c-> <c- p>(</c-><c- n>whl</c-><c- p>[</c-><c- mi>0</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'\xEF'</c-> <c- o>&amp;&amp;</c-> <c- n>whl</c-><c- p>[</c-><c- mi>1</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'\xBB'</c->
      <c- o>&amp;&amp;</c-> <c- n>whl</c-><c- p>[</c-><c- mi>2</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'\xBF'</c-> <c- o>&amp;&amp;</c-> <c- n>whl</c-><c- p>[</c-><c- k>sizeof</c-><c- p>(</c-><c- n>whl</c-><c- p>)</c-> <c- o>-</c-> <c- mi>1</c-><c- p>]</c-> <c- o>==</c-> <c- sc>'\0'</c-><c- p>);</c->
  <c- k>static_assert</c-><c- p>(</c-><c- n>is_good</c-><c- p>);</c->
<c- p>}</c->
</pre>
          <p>– <em>end example</em>]</p>
         </div>
        </div>
        <div class="wording-section" id="cpp.res.param.if_empty">
         <div class="wording-section-header"> <span class="wording-clause-number">15.4.2.5</span> <span class="wording-clause-title"><code class="highlight"><c- n>if_empty</c-></code> parameter</span> <span class="wording-clause-stable-tag">[<b>cpp.res.param.if_empty</b>]</span> </div>
         <div class="wording-numbered">
          <p>An <em>embed-parameter</em> of the form <code class="highlight"><c- n>if_empty</c-> <c- p>(</c-></code> <code class="highlight"><c- n>pp</c-><c- o>-</c-><c- n>balanced</c-><c- o>-</c-><c- n>token</c-><c- o>-</c-><c- n>seq</c-></code><sub><code class="highlight"><c- n>opt</c-></code></sub> <code class="highlight"><c- p>)</c-></code> shall appear at most once in the <em>embed-parameter-seq</em>.</p>
         </div>
         <div class="wording-numbered">
          <p>If the resource is not empty, this <em>embed-parameter</em> is ignored. Otherwise, any tokens from the <em>pp-balanced-token-seq</em> shall be placed where the embed directive is.</p>
          <p>[<em>Example</em>: If some resource <code class="highlight"><c- s>"empty_file.dat"</c-></code> is empty, then this</p>
<pre class="language-cpp highlight"><c- k>constexpr</c-> <c- k>const</c-> <c- b>char</c-> <c- n>x</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed "empty_file.dat" \</c->
<c- cp>  if_empty((char)-1)</c->
<c- p>};</c->
</pre>
          <p>expands to</p>
<pre class="language-cpp highlight"><c- k>constexpr</c-> <c- k>const</c-> <c- b>char</c-> <c- n>x</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
  <c- p>(</c-><c- b>char</c-><c- p>)</c-><c- mi>-1</c->
<c- p>};</c->
</pre>
          <p>Otherwise, it expands to the contents of the resource. – <em>end example</em>]</p>
          <p>[<em>Example</em>: <code class="highlight"><c- n>limit</c-><c- p>(</c-><c- mi>0</c-><c- p>)</c-></code> affects when a file is considered empty. Therefore, the following program:</p>
<pre class="language-cpp highlight"><c- k>constexpr</c-> <c- k>const</c-> <c- b>char</c-> <c- n>x</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
<c- cp>#embed "very_large_file.dat" \</c->
<c- cp>  if_empty((char)-1) limit(0)</c->
<c- p>};</c->
</pre>
          <p>expands to</p>
<pre class="language-cpp highlight"><c- k>constexpr</c-> <c- k>const</c-> <c- b>char</c-> <c- n>x</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
  <c- p>(</c-><c- b>char</c-><c- p>)</c-><c- mi>-1</c->
<c- p>};</c->
</pre>
          <p>– <em>end example</em>]</p>
          <p>[<em>Example</em>: This resource is considered empty due to the <code class="highlight"><c- n>limit</c-><c- p>(</c-><c- mi>0</c-><c- p>)</c-></code> <em>embed-parameter</em>, always, including in <code class="highlight"><c- n>__has_embed</c-></code> clauses.</p>
<pre class="language-cpp highlight"><c- cp>#embed &lt;infinity_resource> limit(0) if_empty(44203)</c->
<c- c1>// becomes: 44203</c->

<c- b>int</c-> <c- nf>infinity_one</c-> <c- p>()</c-> <c- p>{</c->
<c- cp>#if __has_embed(&lt;/owo/uwurandom> limit(0) prefix(some tokens)) == __STDC_EMBED_EMPTY__</c->
  <c- c1>// if &lt;/owo/uwurandom> exists, this</c->
  <c- c1>// conditional inclusion branch is taken and the program</c->
  <c- c1>// returns 0.</c->
  <c- k>return</c-> <c- mi>1</c-><c- p>;</c->
<c- cp>#else</c->
  <c- c1>// the resource does not exist</c->
<c- cp>#error "The resource does not exist"</c->
<c- cp>#endif</c->
<c- p>}</c->
</pre>
          <p>– <em>end example</em>]</p>
         </div>
        </div>
       </div>
      </div>
     </div>
    </ins>
   </blockquote>
   <h2 class="heading settled" data-level="8" id="acknowledgements"><span class="secno">8. </span><span class="content">Acknowledgements</span><a class="self-link" href="#acknowledgements"></a></h2>
   <p>Thank you to Alex Gilding for bolstering this proposal with additional ideas and motivation. Thank you to Aaron Ballman, David Keaton, and Rajan Bhakta for early feedback on this proposal. Thank you to the <a href="https://www.includecpp.org/">`#include<cU0002BU0002B>`</cU0002BU0002B></a> for bouncing lots of ideas off the idea in their Discord. Thank you to Hubert Tong for refining the proposal’s implementation-defined extension points.</p>
   <p>Thank you to the Lounge&lt;C++> for their continued support, and to rmf for the valuable early implementation feedback.</p>
   <div class="pagebreak"></div>
   <h2 class="heading settled" data-level="9" id="appendix"><span class="secno">9. </span><span class="content">Appendix</span><a class="self-link" href="#appendix"></a></h2>
   <h3 class="heading settled" data-level="9.1" id="appendix-existing"><span class="secno">9.1. </span><span class="content">Existing Tools</span><a class="self-link" href="#appendix-existing"></a></h3>
   <p>This section categorizes some of the platform-specific techniques used to work with C++ and some of the challenges they face. Other techniques used include pre-processing data, link-time based tooling, and assembly-time runtime loading. They are detailed below, for a complete picture of today’s landscape of options. They include both C and C++ options.</p>
   <h4 class="heading settled" data-level="9.1.1" id="appendix-existing-pre_processing_tools"><span class="secno">9.1.1. </span><span class="content">Pre-Processing Tools</span><a class="self-link" href="#appendix-existing-pre_processing_tools"></a></h4>
   <ol>
    <li data-md>
     <p>Run the tool over the data (`xxd -i xxd_data.bin > xxd_data.h`) to obtain the generated file (`xxd_data.h`) and add a null terminator if necessary:</p>
   </ol>
<pre class="language-cpp highlight"><c- b>unsigned</c-> <c- b>char</c-> <c- n>xxd_data_bin</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
	<c- mh>0x48</c-><c- p>,</c-> <c- mh>0x65</c-><c- p>,</c-> <c- mh>0x6c</c-><c- p>,</c-> <c- mh>0x6c</c-><c- p>,</c-> <c- mh>0x6f</c-><c- p>,</c-> <c- mh>0x2c</c-><c- p>,</c-> <c- mh>0x20</c-><c- p>,</c-> <c- mh>0x57</c-><c- p>,</c-> <c- mh>0x6f</c-><c- p>,</c-> <c- mh>0x72</c-><c- p>,</c-> <c- mh>0x6c</c-><c- p>,</c-> <c- mh>0x64</c-><c- p>,</c->
	<c- mh>0x0a</c-><c- p>,</c-> <c- mh>0x00</c->
<c- p>};</c->
<c- b>unsigned</c-> <c- b>int</c-> <c- n>xxd_data_bin_len</c-> <c- o>=</c-> <c- mi>13</c-><c- p>;</c->
</pre>
   <ol start="2">
    <li data-md>
     <p>Compile `main.c`:</p>
   </ol>
<pre class="language-cpp highlight"><c- cp>#include</c-> &lt;stdlib.h>
<c- cp>#include</c-> &lt;stdio.h>

<c- c1>// prefix as const,</c->
<c- c1>// even if it generates some warnings in g++/clang++</c->
<c- k>const</c->
<c- cp>#include</c-> "xxd_data.h"

<c- b>int</c-> <c- nf>main</c-><c- p>()</c-> <c- p>{</c->
		<c- k>const</c-> <c- b>char</c-><c- o>*</c-> <c- n>data</c-> <c- o>=</c-> <c- k>reinterpret_cast</c-><c- o>&lt;</c-><c- k>const</c-> <c- b>char</c-><c- o>*></c-><c- p>(</c-><c- n>xxd_data_bin</c-><c- p>);</c->
		<c- n>puts</c-><c- p>(</c-><c- n>data</c-><c- p>);</c-> <c- c1>// Hello, World!</c->
		<c- k>return</c-> <c- mi>0</c-><c- p>;</c->
<c- p>}</c->
</pre>
   <p>Others still use python or other small scripting languages as part of their build process, outputting data in the exact C++ format that they require.</p>
   <p>There are problems with the `xxd -i` or similar tool-based approach. Tokenization and Parsing data-as-source-code adds an enormous overhead to actually reading and making that data available.</p>
   <p>Binary data as C(++) arrays provide the overhead of having to comma-delimit every single byte present, it also requires that the compiler verify every entry in that array is a valid literal or entry according to the C++ language.</p>
   <p>This scales poorly with larger files, and build times suffer for any non-trivial binary file, especially when it scales into Megabytes in size (e.g., firmware and similar).</p>
   <h4 class="heading settled" data-level="9.1.2" id="appendix-existing-python"><span class="secno">9.1.2. </span><span class="content">`python`</span><a class="self-link" href="#appendix-existing-python"></a></h4>
   <p>Other companies are forced to create their own ad-hoc tools to embed data and files into their C++ code. MongoDB uses a <a href="https://github.com/mongodb/mongo/blob/master/site_scons/site_tools/jstoh.py">custom python script</a>, just to format their data for compiler consumption:</p>
<pre class="language-python highlight"><c- kn>import</c-> <c- nn>os</c->
<c- kn>import</c-> <c- nn>sys</c->

<c- k>def</c-> <c- nf>jsToHeader</c-><c- p>(</c-><c- n>target</c-><c- p>,</c-> <c- n>source</c-><c- p>):</c->
		<c- n>outFile</c-> <c- o>=</c-> <c- n>target</c->
		<c- n>h</c-> <c- o>=</c-> <c- p>[</c->
				<c- t>'#include "mongo/base/string_data.h"'</c-><c- p>,</c->
				<c- t>'#include "mongo/scripting/engine.h"'</c-><c- p>,</c->
				<c- t>'namespace mongo {'</c-><c- p>,</c->
				<c- t>'namespace JSFiles{'</c-><c- p>,</c->
		<c- p>]</c->
		<c- k>def</c-> <c- nf>lineToChars</c-><c- p>(</c-><c- n>s</c-><c- p>):</c->
				<c- k>return</c-> <c- t>','</c-><c- o>.</c-><c- n>join</c-><c- p>(</c->str<c- p>(</c->ord<c- p>(</c-><c- n>c</c-><c- p>))</c-> <c- k>for</c-> <c- n>c</c-> <c- ow>in</c-> <c- p>(</c-><c- n>s</c-><c- o>.</c-><c- n>rstrip</c-><c- p>()</c-> <c- o>+</c-> <c- t>'</c-><c- se>\n</c-><c- t>'</c-><c- p>))</c-> <c- o>+</c-> <c- t>','</c->
		<c- k>for</c-> <c- n>s</c-> <c- ow>in</c-> <c- n>source</c-><c- p>:</c->
				<c- n>filename</c-> <c- o>=</c-> str<c- p>(</c-><c- n>s</c-><c- p>)</c->
				<c- n>objname</c-> <c- o>=</c-> <c- n>os</c-><c- o>.</c-><c- n>path</c-><c- o>.</c-><c- n>split</c-><c- p>(</c-><c- n>filename</c-><c- p>)[</c-><c- mi>1</c-><c- p>]</c-><c- o>.</c-><c- n>split</c-><c- p>(</c-><c- t>'.'</c-><c- p>)[</c-><c- mi>0</c-><c- p>]</c->
				<c- n>stringname</c-> <c- o>=</c-> <c- t>'_jscode_raw_'</c-> <c- o>+</c-> <c- n>objname</c->

				<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- t>'constexpr char '</c-> <c- o>+</c-> <c- n>stringname</c-> <c- o>+</c-> <c- u>"[] = {"</c-><c- p>)</c->

				<c- k>with</c-> open<c- p>(</c-><c- n>filename</c-><c- p>,</c-> <c- t>'r'</c-><c- p>)</c-> <c- k>as</c-> <c- n>f</c-><c- p>:</c->
						<c- k>for</c-> <c- n>line</c-> <c- ow>in</c-> <c- n>f</c-><c- p>:</c->
								<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- n>lineToChars</c-><c- p>(</c-><c- n>line</c-><c- p>))</c->

				<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- u>"0};"</c-><c- p>)</c->
				<c- c1># symbols aren’t exported w/o this</c->
				<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- t>'extern const JSFile </c-><c- si>%s</c-><c- t>;'</c-> <c- o>%</c-> <c- n>objname</c-><c- p>)</c->
				<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- t>'const JSFile </c-><c- si>%s</c-><c- t> = { "</c-><c- si>%s</c-><c- t>", StringData(</c-><c- si>%s</c-><c- t>, sizeof(</c-><c- si>%s</c-><c- t>) - 1) };'</c-> <c- o>%</c->
								 <c- p>(</c-><c- n>objname</c-><c- p>,</c-> <c- n>filename</c-><c- o>.</c-><c- n>replace</c-><c- p>(</c-><c- t>'</c-><c- se>\\</c-><c- t>'</c-><c- p>,</c-> <c- t>'/'</c-><c- p>),</c-> <c- n>stringname</c-><c- p>,</c-> <c- n>stringname</c-><c- p>))</c->

		<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- u>"} // namespace JSFiles"</c-><c- p>)</c->
		<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- u>"} // namespace mongo"</c-><c- p>)</c->
		<c- n>h</c-><c- o>.</c-><c- n>append</c-><c- p>(</c-><c- u>""</c-><c- p>)</c->

		<c- n>text</c-> <c- o>=</c-> <c- t>'</c-><c- se>\n</c-><c- t>'</c-><c- o>.</c-><c- n>join</c-><c- p>(</c-><c- n>h</c-><c- p>)</c->

		<c- k>with</c-> open<c- p>(</c-><c- n>outFile</c-><c- p>,</c-> <c- t>'wb'</c-><c- p>)</c-> <c- k>as</c-> <c- n>out</c-><c- p>:</c->
				<c- k>try</c-><c- p>:</c->
						<c- n>out</c-><c- o>.</c-><c- n>write</c-><c- p>(</c-><c- n>text</c-><c- p>)</c->
				<c- k>finally</c-><c- p>:</c->
						<c- n>out</c-><c- o>.</c-><c- n>close</c-><c- p>()</c->


<c- k>if</c-> __name__ <c- o>==</c-> <c- u>"__main__"</c-><c- p>:</c->
		<c- k>if</c-> len<c- p>(</c-><c- n>sys</c-><c- o>.</c-><c- n>argv</c-><c- p>)</c-> <c- o>&lt;</c-> <c- mi>3</c-><c- p>:</c->
				print <c- u>"Must specify [target] [source] "</c->
				<c- n>sys</c-><c- o>.</c-><c- n>exit</c-><c- p>(</c-><c- mi>1</c-><c- p>)</c->
		<c- n>jsToHeader</c-><c- p>(</c-><c- n>sys</c-><c- o>.</c-><c- n>argv</c-><c- p>[</c-><c- mi>1</c-><c- p>],</c-> <c- n>sys</c-><c- o>.</c-><c- n>argv</c-><c- p>[</c-><c- mi>2</c-><c- p>:])</c->
</pre>
   <p>MongoDB were brave enough to share their code with me and make public the things they have to do: other companies have shared many similar concerns, but do not have the same bravery. We thank MongoDB for sharing.</p>
   <h4 class="heading settled" data-level="9.1.3" id="appendix-existing-ld"><span class="secno">9.1.3. </span><span class="content">`ld`</span><a class="self-link" href="#appendix-existing-ld"></a></h4>
   <p>A complete example (does not compile on Visual C++):</p>
   <ol>
    <li data-md>
     <p>Have a file ld_data.bin with the contents `Hello, World!`.</p>
    <li data-md>
     <p>Run `ld -r binary -o ld_data.o ld_data.bin`.</p>
    <li data-md>
     <p>Compile the following `main.cpp` with `gcc -std=c++17 ld_data.o main.cpp`:</p>
   </ol>
<pre class="language-cpp highlight"><c- cp>#include</c-> &lt;stdlib.h>
<c- cp>#include</c-> &lt;stdio.h>

<c- cp>#define STRINGIZE_(x) #x</c->
<c- cp>#define STRINGIZE(x) STRINGIZE_(x)</c->

<c- cp>#ifdef __APPLE__</c->
<c- cp>#include</c-> &lt;mach-o/getsect.h>

<c- cp>#define DECLARE_LD_(LNAME) extern const unsigned char _section$__DATA__##LNAME[];</c->
<c- cp>#define LD_NAME_(LNAME) _section$__DATA__##LNAME</c->
<c- cp>#define LD_SIZE_(LNAME) (getsectbyLNAME("__DATA", "__" STRINGIZE(LNAME))->size)</c->
<c- cp>#define DECLARE_LD(LNAME) DECLARE_LD_(LNAME)</c->
<c- cp>#define LD_NAME(LNAME) LD_NAME_(LNAME)</c->
<c- cp>#define LD_SIZE(LNAME) LD_SIZE_(LNAME)</c->

<c- cp>#elif (defined __MINGW32__) </c-><c- d>/* mingw */</c->

<c- cp>#define DECLARE_LD(LNAME)                                 \</c->
<c- cp>	extern const unsigned char binary_##LNAME##_start[];    \</c->
<c- cp>	extern const unsigned char binary_##LNAME##_end[];</c->
<c- cp>#define LD_NAME(LNAME) binary_##LNAME##_start</c->
<c- cp>#define LD_SIZE(LNAME) ((binary_##LNAME##_end) - (binary_##LNAME##_start))</c->
<c- cp>#define DECLARE_LD(LNAME) DECLARE_LD_(LNAME)</c->
<c- cp>#define LD_NAME(LNAME) LD_NAME_(LNAME)</c->
<c- cp>#define LD_SIZE(LNAME) LD_SIZE_(LNAME)</c->

<c- cp>#else </c-><c- d>/* gnu/linux ld */</c->

<c- cp>#define DECLARE_LD_(LNAME)                                  \</c->
<c- cp>	extern const unsigned char _binary_##LNAME##_start[];     \</c->
<c- cp>	extern const unsigned char _binary_##LNAME##_end[];</c->
<c- cp>#define LD_NAME_(LNAME) _binary_##LNAME##_start</c->
<c- cp>#define LD_SIZE_(LNAME) ((_binary_##LNAME##_end) - (_binary_##LNAME##_start))</c->
<c- cp>#define DECLARE_LD(LNAME) DECLARE_LD_(LNAME)</c->
<c- cp>#define LD_NAME(LNAME) LD_NAME_(LNAME)</c->
<c- cp>#define LD_SIZE(LNAME) LD_SIZE_(LNAME)</c->
<c- cp>#endif</c->

<c- n>DECLARE_LD</c-><c- p>(</c-><c- n>ld_data_bin</c-><c- p>);</c->

<c- b>int</c-> <c- nf>main</c-><c- p>()</c-> <c- p>{</c->
	<c- k>const</c-> <c- b>char</c-><c- o>*</c-> <c- n>p_data</c-> <c- o>=</c-> <c- k>reinterpret_cast</c-><c- o>&lt;</c-><c- k>const</c-> <c- b>char</c-><c- o>*></c-><c- p>(</c-><c- n>LD_NAME</c-><c- p>(</c-><c- n>ld_data_bin</c-><c- p>));</c->
	<c- c1>// impossible, not null-terminated</c->
	<c- c1>//puts(p_data);</c->
	<c- c1>// must copy instead</c->
	<c- k>return</c-> <c- mi>0</c-><c- p>;</c->
<c- p>}</c->
</pre>
   <p>This scales a little bit better in terms of raw compilation time but is shockingly OS, vendor and platform specific in ways that novice developers would not be able to handle fully. The macros are required to erase differences, lest subtle differences in name will destroy one’s ability to use these macros effectively. We omitted the code for handling VC++ resource files because it is excessively verbose than what is present here.</p>
   <p>N.B.: Because these declarations are `extern`, the values in the array cannot be accessed at compilation/translation-time.</p>
   <h4 class="heading settled" data-level="9.1.4" id="appendix-existing-incbin"><span class="secno">9.1.4. </span><span class="content">`incbin`</span><a class="self-link" href="#appendix-existing-incbin"></a></h4>
   <p>There is a tool called <a href="https://github.com/graphitemaster/incbin">`incbin`</a> which is a 3rd party attempt at pulling files in at "assembly time". Its approach is incredibly similar to `ld`, with the caveat that files must be shipped with their binary. It unfortunately falls prey to the same problems of cross-platform woes when dealing with Visual C, requiring additional pre-processing to work out in full.</p>
   <h4 class="heading settled" data-level="9.1.5" id="appendix-existing-external.xxd"><span class="secno">9.1.5. </span><span class="content">`xxd`, but done Raw</span><a class="self-link" href="#appendix-existing-external.xxd"></a></h4>
   <p>Some people cannot even use the `xxd` tool on their platforms because it cannot be used. This is the case where tools need to be able to package things, and therefore their build tools need to accommodate for not having their information. The way to help save for this is to create other small utilities that effectively <a href="https://github.com/Smattr/rumur/blob/main/misc/xxd.py">duplicate the tools, but in different ways</a>.</p>
   <p>This has affected packaging of Debian-style packages on multiple distributions.</p>
   <h3 class="heading settled" data-level="9.2" id="appendix-existing-type_flexibility"><span class="secno">9.2. </span><span class="content">Type Flexibility</span><a class="self-link" href="#appendix-existing-type_flexibility"></a></h3>
   <p><strong>Note:</strong> As per the vote in the September C++ Evolution Working Group Meeting, Type Flexibility is not being pursued in the preprocessor for various implementation and support splitting concerns.</p>
   <p>A type can be specified after the `#embed` to view the data in a very specific manner. This allows data to initialized as exactly that type.</p>
   <p>Type flexibility was not pursued for various implementation concerns. Chief among them was single-purpose preprocessors that did not have access to frontend information. This meant it was very hard to make a system that was both preprocessor conformant but did not require e.g. `sizeof(...)` information at the point of preprocessor invocation. Therefore, the type flexibility feature was pulled from `#embed` and will be conglomerated in other additions such as `std::bitcast` or `std::embed`.</p>
<pre class="language-cpp highlight"><c- d>/* specify a type-name to change array type */</c->
<c- k>const</c-> <c- b>int</c-> <c- n>shorten_flac</c-><c- p>[]</c-> <c- o>=</c-> <c- p>{</c->
		<c- cp>#embed int "stripped_music.flac"</c->
<c- p>};</c->
</pre>
   <p>The contents of the resource are mapped in an implementation-defined manner to the data, such that it will use `sizeof(type-name) * CHAR_BIT` bits for each element. If the file does not have enough bits to fill out a multiple of `sizeof(type-name) * CHAR_BIT` bits, then a diagnostic is required. Furthermore, we require that the type passed to `#embed` that must one of the following fundamental types, signed or unsigned, spelled exactly in this manner:</p>
   <ul>
    <li data-md>
     <p>`char`, `unsigned char`, `signed char`</p>
    <li data-md>
     <p>`short`, `unsigned short`, `signed short`</p>
    <li data-md>
     <p>`int`, `unsigned int`, `signed int`</p>
    <li data-md>
     <p>`long`, `unsigned long`, `signed long`</p>
    <li data-md>
     <p>`long long`, `unsigned long long`, `signed long long`</p>
   </ul>
   <p>More types can be supported by the implementation if the implementation so chooses (both the GCC and Clang prototypes described below support more than this). The reason exactly these types are required is because these are the only types for which there is a suitable way to obtain their size at pre-processor time. Quoting from §5.2.4.2.1, paragraph 1:</p>
   <blockquote>
    <p>The values given below shall be replaced by constant expressions suitable for use in `#if` preprocessing directives.</p>
   </blockquote>
   <p>
    This means that the types above have a specific size that can be properly initialized by a preprocessor entirely independent of a proper C frontend, without needing to know more than how to be a preprocessor. Originally, the proposal required that every use of `#embed` is accompanied by a `#include 
    <limits.h>
     ` (or, in the case of C++, `#include 
     <climits>`). Instead, the proposal now lets the implementation "figure it out" on an implementation-by-implementation basis.</climits>
    </limits.h>
   </p>
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  <h2 class="no-num no-ref heading settled" id="references"><span class="content">References</span><a class="self-link" href="#references"></a></h2>
  <h3 class="no-num no-ref heading settled" id="informative"><span class="content">Informative References</span><a class="self-link" href="#informative"></a></h3>
  <dl>
   <dt id="biblio-circle-embed-tweet">[CIRCLE-EMBED-TWEET]
   <dd>Sean Baxter. <a href="https://twitter.com/seanbax/status/1205195567003045888"><cite>@embed added to Circle</cite></a>. URL: <a href="https://twitter.com/seanbax/status/1205195567003045888">https://twitter.com/seanbax/status/1205195567003045888</a>
   <dt id="biblio-clang-large-init-bug">[CLANG-LARGE-INIT-BUG]
   <dd>LLVM Foundation. <a href="https://bugs.llvm.org/show_bug.cgi?id=44399"><cite>Memory Consumption Reduction for Large Array Initialization?</cite></a>. URL: <a href="https://bugs.llvm.org/show_bug.cgi?id=44399">https://bugs.llvm.org/show_bug.cgi?id=44399</a>
   <dt id="biblio-gcc-large-init-bug-c">[GCC-LARGE-INIT-BUG-C]
   <dd>GCC. <a href="https://gcc.gnu.org/bugzilla/show_bug.cgi?id=12245"><cite>[8/9/10 regression] Uses lots of memory when compiling large initialized arrays</cite></a>. URL: <a href="https://gcc.gnu.org/bugzilla/show_bug.cgi?id=12245">https://gcc.gnu.org/bugzilla/show_bug.cgi?id=12245</a>
   <dt id="biblio-gcc-large-init-bug-cpp">[GCC-LARGE-INIT-BUG-CPP]
   <dd>GCC. <a href="https://gcc.gnu.org/bugzilla/show_bug.cgi?id=14179"><cite>[8/9/10 regression] Uses lots of memory when compiling large initialized arrays</cite></a>. URL: <a href="https://gcc.gnu.org/bugzilla/show_bug.cgi?id=14179">https://gcc.gnu.org/bugzilla/show_bug.cgi?id=14179</a>
   <dt id="biblio-incbin">[INCBIN]
   <dd>Dale Weiler (graphitemaster). <a href="https://github.com/graphitemaster/incbin"><cite>incbin: load files at 'assembly' time</cite></a>. URL: <a href="https://github.com/graphitemaster/incbin">https://github.com/graphitemaster/incbin</a>
   <dt id="biblio-llvm-string-init-fail">[LLVM-STRING-INIT-FAIL]
   <dd>Luke Drummond. <a href="http://lists.llvm.org/pipermail/llvm-dev/2020-January/138225.html"><cite>[llvm-dev] [tablegen] table readability / performance</cite></a>. January 14th, 2020. URL: <a href="http://lists.llvm.org/pipermail/llvm-dev/2020-January/138225.html">http://lists.llvm.org/pipermail/llvm-dev/2020-January/138225.html</a>
   <dt id="biblio-n3067">[N3067]
   <dd>ISO/IEC JTC1 SC22 WG14 – Programming Languages, C. <a href="https://www.open-std.org/jtc1/sc22/wg14/www/docs/n3067.doc"><cite>National Body Comments for ISO/IEC 9899:2023 CD Ballot Comments</cite></a>. URL: <a href="https://www.open-std.org/jtc1/sc22/wg14/www/docs/n3067.doc">https://www.open-std.org/jtc1/sc22/wg14/www/docs/n3067.doc</a>
   <dt id="biblio-nonius-visual-c-error">[NONIUS-VISUAL-C-ERROR]
   <dd>R. Martinho Fernandes. <a href="https://github.com/libnonius/nonius/blob/devel/include/nonius/reporters/html_reporter.h%2B%2B#L42"><cite>nonius generated HTML Reporter</cite></a>. September 1st, 2016. URL: <a href="https://github.com/libnonius/nonius/blob/devel/include/nonius/reporters/html_reporter.h%2B%2B#L42">https://github.com/libnonius/nonius/blob/devel/include/nonius/reporters/html_reporter.h%2B%2B#L42</a>
   <dt id="biblio-p1040r6">[P1040R6]
   <dd>JeanHeyd Meneide. <a href="https://wg21.link/p1040r6"><cite>std::embed and #depend</cite></a>. 29 February 2020. URL: <a href="https://wg21.link/p1040r6">https://wg21.link/p1040r6</a>
  </dl>