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"},"grammars/r-lang.json":{"encoding":"utf8","content":"{\n  \"ignoreCase\": false,\n  \"rules\": [\n    {\n      \"match\": \"#.*$\",\n      \"token\": \"comment\"\n    },\n    {\n      \"match\": \"\\\"(?:[^\\\"\\\\\\\\]|\\\\\\\\.)*\\\"\",\n      \"token\": \"string\"\n    },\n    {\n      \"match\": \"'(?:[^'\\\\\\\\]|\\\\\\\\.)*'\",\n      \"token\": \"string\"\n    },\n    {\n      \"match\": \"<-|->|<<-|->>|%[^%\\\\s]*%|\\\\|>\",\n      \"token\": \"keyword\"\n    },\n    {\n      \"match\": \"\\\\b(?:0[xX][0-9a-fA-F_]+|0[bB][01_]+|0[oO][0-7_]+|\\\\d[\\\\d_]*(?:\\\\.\\\\d[\\\\d_]*)?(?:[eE][+-]?\\\\d+)?)[uUlLfFdDnNiI]{0,3}\\\\b\",\n      \"token\": \"number\"\n    },\n    {\n      \"match\": \"\\\\b(?:function|repeat|while|break|else|next|for|if|in)\\\\b\",\n      \"token\": \"keyword\"\n    },\n    {\n      \"match\": \"\\\\b(?:NA_character_|NA_integer_|NA_real_|FALSE|TRUE|NULL|Inf|NaN|NA|T|F)\\\\b\",\n      \"token\": \"constant\"\n    },\n    {\n      \"match\": \"\\\\b(?:data\\\\.frame|tryCatch|library|require|warning|paste0|vector|matrix|length|sapply|lapply|mapply|source|ggplot|print|paste|apply|list|stop|cat|seq|rep|aes|c)\\\\b\",\n      \"token\": \"function\"\n    },\n    {\n      \"match\": \"\\\\b[A-Za-z_][A-Za-z0-9_]*(?=\\\\s*\\\\()\",\n      \"token\": \"function\"\n    }\n  ]\n}\n"},"snippets/r-lang.json":{"encoding":"utf8","content":"{\n  \"Function\": {\n    \"prefix\": \"fun\",\n    \"body\": [\n      \"${1:name} <- function(${2:args}) {\",\n      \"\\t$0\",\n      \"}\"\n    ],\n    \"description\": \"A function\"\n  },\n  \"Library\": {\n    \"prefix\": \"lib\",\n    \"body\": [\n      \"library(${1:package})\"\n    ],\n    \"description\": \"library()\"\n  },\n  \"Data frame\": {\n    \"prefix\": \"df\",\n    \"body\": [\n      \"${1:df} <- data.frame(${2:x} = ${3:c(1, 2, 3)})\"\n    ],\n    \"description\": \"A data frame\"\n  },\n  \"For loop\": {\n    \"prefix\": \"for\",\n    \"body\": [\n      \"for (${1:i} in ${2:1:10}) {\",\n      \"\\t$0\",\n      \"}\"\n    ],\n    \"description\": \"A for loop\"\n  },\n  \"ggplot\": {\n    \"prefix\": \"gg\",\n    \"body\": [\n      \"ggplot(${1:data}, aes(x = ${2:x}, y = ${3:y})) +\",\n      \"\\tgeom_${4:point}()\"\n    ],\n    \"description\": \"A ggplot\"\n  },\n  \"Pipe\": {\n    \"prefix\": \"pipe\",\n    \"body\": [\n      \"${1:data} |>\",\n      \"\\t${2:filter}($0)\"\n    ],\n    \"description\": \"A pipe chain\"\n  }\n}\n"},"README.md":{"encoding":"utf8","content":"# R\n\nSyntax coloring, comment toggling and snippets for R.\n\n## Files\n\n`.r`, `.R`, `.rmd`, `.Rmd`\n\n## Features\n\n- Colors keywords, types, strings, numbers, comments and more. The colors follow your theme.\n- **Toggle Line Comment** (Ctrl+/) uses `#`.\n- 6 snippets.\n\n## Snippets\n\nType the prefix and press Tab.\n\n| Prefix | What it inserts |\n| --- | --- |\n| `fun` | A function |\n| `lib` | library() |\n| `df` | A data frame |\n| `for` | A for loop |\n| `gg` | A ggplot |\n| `pipe` | A pipe chain |\n\nThis extension runs no code and asks for no permissions. It is built with the [language contribution](https://ferrum.vyloxi.com/docs/languages) format.\n"}}}