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The list of available emojis is inaccurate #1163
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Background information; not actionable. The documentation points to https://www.webpagefx.com/tools/emoji-cheat-sheet/ from these pages: The referenced cheat sheet contains 877 emoji codes (e.g., Hugo's code map is an amalgamation of four sources, currently with 4670 codes representing 2995 unique emojis (1675 of the codes are aliases). Hugo does not render 55 of the 4670 codes due to the presence of one or more of these characters: While emojis are somewhat standardized through the Unicode Consortium (https://home.unicode.org/emoji), the codes used to represent them are not. That is why there are 1675 aliases in Hugo's implementation. For example, this emoji (:no_good:) can be written as any of the following in Hugo, though only the first three are recognized by GitHub:
An ideal cheat sheet for Hugo users would:
Two of the best sources for information are https://emojipedia.org/ and https://unicode.org/emoji/charts/, but neither of them contain codes (e.g., The best existing cheat sheet that I've been able to find is... the one we're using now. It it (somewhat) curated, categorized, easy to use, and loads fast. And Hugo properly renders 98.06% of the codes. |
Thanks @jmooring for this detailed analysis! |
With gohugoio/hugo#11593 we can now include a definitive list in the documentation. |
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2018 Closes gohugoio#2051 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2018 Closes gohugoio#2051 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2018 Closes gohugoio#2051 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2018 Closes gohugoio#2051 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2018 Closes gohugoio#2051 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2018 Closes gohugoio#2051 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276
Closes gohugoio#53 Closes gohugoio#447 Closes gohugoio#546 Closes gohugoio#1163 Closes gohugoio#1400 Closes gohugoio#1406 Closes gohugoio#1547 Closes gohugoio#1622 Closes gohugoio#1637 Closes gohugoio#1639 Closes gohugoio#1667 Closes gohugoio#1745 Closes gohugoio#2001 Closes gohugoio#2018 Closes gohugoio#2051 Closes gohugoio#2256 Closes gohugoio#2264 Closes gohugoio#2275 Closes gohugoio#2276 Closes gohugoio#2297
I believe there are some inaccuracies in the list of emojis described in page content/en/functions/emojify.md
For instance
:bowtie:
does not convert properly.My understanding is that the actual code map used is https://github.com/kyokomi/emoji/blob/master/emoji_codemap.go
Based from http://www.unicode.org/emoji/charts/emoji-list.html
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