735a74901f
Previously, we were at an ACE editor published between 1.1.8 and 1.1.9. This caused multiple issues and was especially a problem for the upcoming pair programming feature. Further, updating ace is a long-time priority, see https://github.com/openHPI/codeocean/issues/250. Now, we are not yet updating to the latest version, but rather to the next minor version. This already contains breaking changes, and we are currently interested to keep the number of changes as low as possible. Further updating ACE might be still a future task. The new ACE version 1.2.0 is taken from this tag: https://github.com/ajaxorg/ace-builds/releases/tag/v1.2.0. We are using the src build (not minified, not in the noconflict version), since the same was used before as well. Further, we need to change our migration for storing editor events. Since the table is not yet used (in production), we also update the enum.
129 lines
2.8 KiB
JavaScript
129 lines
2.8 KiB
JavaScript
define("ace/snippets/r",["require","exports","module"], function(require, exports, module) {
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"use strict";
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exports.snippetText = "snippet #!\n\
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#!/usr/bin/env Rscript\n\
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\n\
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# includes\n\
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snippet lib\n\
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library(${1:package})\n\
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snippet req\n\
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require(${1:package})\n\
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snippet source\n\
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source('${1:file}')\n\
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\n\
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# conditionals\n\
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snippet if\n\
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if (${1:condition}) {\n\
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${2:code}\n\
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}\n\
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snippet el\n\
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else {\n\
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${1:code}\n\
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}\n\
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snippet ei\n\
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else if (${1:condition}) {\n\
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${2:code}\n\
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}\n\
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\n\
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# functions\n\
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snippet fun\n\
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${1:name} = function (${2:variables}) {\n\
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${3:code}\n\
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}\n\
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snippet ret\n\
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return(${1:code})\n\
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\n\
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# dataframes, lists, etc\n\
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snippet df\n\
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${1:name}[${2:rows}, ${3:cols}]\n\
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snippet c\n\
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c(${1:items})\n\
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snippet li\n\
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list(${1:items})\n\
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snippet mat\n\
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matrix(${1:data}, nrow=${2:rows}, ncol=${3:cols})\n\
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\n\
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# apply functions\n\
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snippet apply\n\
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apply(${1:array}, ${2:margin}, ${3:function})\n\
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snippet lapply\n\
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lapply(${1:list}, ${2:function})\n\
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snippet sapply\n\
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sapply(${1:list}, ${2:function})\n\
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snippet vapply\n\
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vapply(${1:list}, ${2:function}, ${3:type})\n\
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snippet mapply\n\
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mapply(${1:function}, ${2:...})\n\
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snippet tapply\n\
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tapply(${1:vector}, ${2:index}, ${3:function})\n\
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snippet rapply\n\
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rapply(${1:list}, ${2:function})\n\
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\n\
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# plyr functions\n\
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snippet dd\n\
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ddply(${1:frame}, ${2:variables}, ${3:function})\n\
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snippet dl\n\
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dlply(${1:frame}, ${2:variables}, ${3:function})\n\
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snippet da\n\
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daply(${1:frame}, ${2:variables}, ${3:function})\n\
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snippet d_\n\
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d_ply(${1:frame}, ${2:variables}, ${3:function})\n\
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\n\
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snippet ad\n\
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adply(${1:array}, ${2:margin}, ${3:function})\n\
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snippet al\n\
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alply(${1:array}, ${2:margin}, ${3:function})\n\
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snippet aa\n\
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aaply(${1:array}, ${2:margin}, ${3:function})\n\
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snippet a_\n\
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a_ply(${1:array}, ${2:margin}, ${3:function})\n\
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\n\
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snippet ld\n\
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ldply(${1:list}, ${2:function})\n\
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snippet ll\n\
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llply(${1:list}, ${2:function})\n\
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snippet la\n\
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laply(${1:list}, ${2:function})\n\
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snippet l_\n\
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l_ply(${1:list}, ${2:function})\n\
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\n\
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snippet md\n\
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mdply(${1:matrix}, ${2:function})\n\
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snippet ml\n\
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mlply(${1:matrix}, ${2:function})\n\
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snippet ma\n\
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maply(${1:matrix}, ${2:function})\n\
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snippet m_\n\
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m_ply(${1:matrix}, ${2:function})\n\
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\n\
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# plot functions\n\
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snippet pl\n\
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plot(${1:x}, ${2:y})\n\
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snippet ggp\n\
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ggplot(${1:data}, aes(${2:aesthetics}))\n\
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snippet img\n\
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${1:(jpeg,bmp,png,tiff)}(filename=\"${2:filename}\", width=${3}, height=${4}, unit=\"${5}\")\n\
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${6:plot}\n\
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dev.off()\n\
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\n\
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# statistical test functions\n\
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snippet fis\n\
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fisher.test(${1:x}, ${2:y})\n\
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snippet chi\n\
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chisq.test(${1:x}, ${2:y})\n\
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snippet tt\n\
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t.test(${1:x}, ${2:y})\n\
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snippet wil\n\
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wilcox.test(${1:x}, ${2:y})\n\
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snippet cor\n\
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cor.test(${1:x}, ${2:y})\n\
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snippet fte\n\
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var.test(${1:x}, ${2:y})\n\
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snippet kvt \n\
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kv.test(${1:x}, ${2:y})\n\
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";
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exports.scope = "r";
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});
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