{"format":1,"manifest":{"name":"jsonnet","publisher":"vyloxi","version":"1.0.0","displayName":"Jsonnet","description":"Syntax coloring, comment toggling and snippets for Jsonnet (.jsonnet .libsonnet).","engines":{"ferrum":"^0.1.0"},"categories":["Languages"],"icon":"icon.png","repository":"https://github.com/voukengdongmofrankysteve/ferrum-market","license":"MIT","contributes":{"languages":[{"id":"jsonnet","name":"Jsonnet","extensions":[".jsonnet",".libsonnet"],"grammar":"grammars/jsonnet.json","lineComment":"//","blockComment":["/*","*/"]}],"snippets":[{"language":"Jsonnet","path":"snippets/jsonnet.json"}]}},"files":{"icon.png":{"encoding":"base64","content":"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"},"grammars/jsonnet.json":{"encoding":"utf8","content":"{\n  \"ignoreCase\": false,\n  \"rules\": [\n    {\n      \"begin\": \"\\\\/\\\\*\",\n      \"end\": \"\\\\*\\\\/\",\n      \"token\": \"comment\"\n    },\n    {\n      \"match\": \"\\\\/\\\\/.*$\",\n      \"token\": \"comment\"\n    },\n    {\n      \"match\": \"#.*$\",\n      \"token\": \"comment\"\n    },\n    {\n      \"begin\": \"\\\\|\\\\|\\\\|\",\n      \"end\": \"\\\\|\\\\|\\\\|\",\n      \"token\": \"string\"\n    },\n    {\n      \"match\": \"\\\"(?:[^\\\"\\\\\\\\]|\\\\\\\\.)*\\\"\",\n      \"token\": \"string\"\n    },\n    {\n      \"match\": \"'(?:[^'\\\\\\\\]|\\\\\\\\.)*'\",\n      \"token\": \"string\"\n    },\n    {\n      \"match\": \"\\\\$|::?:?\",\n      \"token\": \"keyword\"\n    },\n    {\n      \"match\": \"^\\\\s*[A-Za-z_]\\\\w*(?=\\\\s*(?:\\\\([^)]*\\\\))?\\\\s*::?:?)\",\n      \"token\": \"property\"\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(?:tailstrict|importstr|importbin|function|assert|import|error|false|local|super|else|null|then|self|true|for|if|in)\\\\b\",\n      \"token\": \"keyword\"\n    },\n    {\n      \"match\": \"\\\\b(?:false|super|true|null|self)\\\\b\",\n      \"token\": \"constant\"\n    },\n    {\n      \"match\": \"\\\\b(?:std\\\\.objectFields|std\\\\.manifestJson|std\\\\.toString|std\\\\.length|std\\\\.filter|std\\\\.format|std\\\\.join|std\\\\.map)\\\\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/jsonnet.json":{"encoding":"utf8","content":"{\n  \"Local\": {\n    \"prefix\": \"local\",\n    \"body\": [\n      \"local ${1:name} = ${2:value};\"\n    ],\n    \"description\": \"A local variable\"\n  },\n  \"Function\": {\n    \"prefix\": \"fn\",\n    \"body\": [\n      \"local ${1:name}(${2:x}) = ${3:x};\"\n    ],\n    \"description\": \"A function\"\n  },\n  \"Object\": {\n    \"prefix\": \"obj\",\n    \"body\": [\n      \"{\",\n      \"  ${1:field}: ${2:value},\",\n      \"}\"\n    ],\n    \"description\": \"An object\"\n  },\n  \"Import\": {\n    \"prefix\": \"imp\",\n    \"body\": [\n      \"local ${1:lib} = import '${2:lib.libsonnet}';\"\n    ],\n    \"description\": \"import\"\n  }\n}\n"},"README.md":{"encoding":"utf8","content":"# Jsonnet\n\nSyntax coloring, comment toggling and snippets for Jsonnet.\n\n## Files\n\n`.jsonnet`, `.libsonnet`\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- 4 snippets.\n\n## Snippets\n\nType the prefix and press Tab.\n\n| Prefix | What it inserts |\n| --- | --- |\n| `local` | A local variable |\n| `fn` | A function |\n| `obj` | An object |\n| `imp` | import |\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"}}}