From de548d9dd764c7d19148b52ff3f50e480fd5fa75 Mon Sep 17 00:00:00 2001 From: djblue Date: Wed, 25 Sep 2024 04:33:12 +0000 Subject: [PATCH] deploy: ff55ee74b23cd49ea13861ed3b842e478ba4e1ab --- .nojekyll | 0 docs.edn | 1 + icon.svg | 99 + index.html | 1 + main.js | 5148 +++++++++++++++++++++++++++++++++++++++++++++++++ manifest.edn | 1 + manifest.json | 1 + sw.js | 15 + 8 files changed, 5266 insertions(+) create mode 100644 .nojekyll create mode 100644 docs.edn create mode 100644 icon.svg create mode 100644 index.html create mode 100644 main.js create mode 100644 manifest.edn create mode 100644 manifest.json create mode 100644 sw.js diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/docs.edn b/docs.edn new file mode 100644 index 00000000..e9a8186e --- /dev/null +++ b/docs.edn @@ -0,0 +1 @@ +#:cljdoc.doc{:tree [["Readme" {:file "README.md", :markdown "# portal\n\nA clojure tool to navigate through your data.\n\n[![cljdoc][cljdoc-badge]][cljdoc]\n[![Clojars Project][clojars-badge]][clojars]\n[![VS Code Extension][vscode-badge]][vscode]\n[![Version][intellij-badge]][intellij]\n[![Get help on Slack][clojurians-badge]][clojurians]\n\n\n\n\n\n \n \n \n\n\n\nThe portal UI can be used to inspect values of various shapes and sizes. The UX\nwill probably evolve over time and user feedback is welcome!\n\nFor an in-depth explanation of the UI, you can jump to the [UI][ui-concepts]\ndocs.\n\n## Demo\n\nTo get an overview of the Portal UI and workflow, checkout the following\nrecording of a [live demo][live-demo] I gave for [London\nClojurians][london-clojurians].\n\n\n\"London\n\n\nMore video presentations on Portal can be found [here](./doc/videos.md).\n\n## Usage\n\nTo start a repl with portal, run the **clojure >= 1.10.0** cli with:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}}}'\n```\n\nor for a **web** **clojurescript >= 1.10.773** repl, do:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}\n org.clojure/clojurescript {:mvn/version \"1.10.844\"}}}' \\\n -m cljs.main\n```\n\nor for a **node** **clojurescript >= 1.10.773** repl, do:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}\n org.clojure/clojurescript {:mvn/version \"1.10.844\"}}}' \\\n -m cljs.main -re node\n```\n\nor for a **babashka >=0.2.4** repl, do:\n\n```bash\nbb -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}}}'\n```\n\nor for a lein `project.clj`, add:\n\n```clojure\n{:profiles {:dev {:dependencies [[djblue/portal \"0.57.3\"]]}}}\n```\n\nor as a global profile, add to `~/.lein/profiles.clj`:\n\n```clojure\n{:portal {:dependencies [[djblue/portal \"0.57.3\"]]}}\n```\n\n> **Note**\n> If you add Portal to a profile other than `:dev`, when starting a REPL\n> start it with `with-profiles +portal`. The `+` is important.\n\nor for [**Clojure CLR**][clojure-clr], checkout this [example project](./examples/clr),\n\nor for examples on how to integrate portal into an existing project, look\nthrough the [examples](./examples) directory.\n\n> **Note**\n> Portal can also be used without a runtime via the [standalone version](./doc/guides/standalone.md).\n\n### API\n\nTry the [portal api](./src/portal/api.cljc) with the following commands:\n\n```clojure\n;; for node and jvm\n(require '[portal.api :as p])\n\n;; for web\n;; NOTE: you might need to enable popups for the portal ui to work in the\n;; browser.\n(require '[portal.web :as p])\n\n\n(def p (p/open)) ; Open a new inspector\n\n;; or with an extension installed, do:\n(def p (p/open {:launcher :vs-code})) ; jvm / node only\n(def p (p/open {:launcher :intellij})) ; jvm / node only\n\n(add-tap #'p/submit) ; Add portal as a tap> target\n\n(tap> :hello) ; Start tapping out values\n\n(p/clear) ; Clear all values\n\n(tap> :world) ; Tap out more values\n\n(prn @p) ; bring selected value back into repl\n\n(remove-tap #'p/submit) ; Remove portal from tap> targetset\n\n(p/close) ; Close the inspector when done\n\n(p/docs) ; View docs locally via Portal - jvm / node only\n```\n\n> **Warning**\n> Portal will keep objects from being garbage collected until they are cleared\n> from the UI.\n\n### Options\n\nOptions for `portal.api/open`:\n\n| Option | Description | Default | Spec |\n|-----------------|---------------------------------------------|---------------------|-----------------------------------------------------------------------------|\n| `:window-title` | Custom window title for UI | \"portal\" | string? |\n| `:theme` | Default theme for UI | :portal.colors/nord | |\n| `:value` | Root value of UI | (atom (list)) | |\n| `:app` | Launch UI in Chrome app window | true | boolean? |\n| `:launcher` | Launch UI using this editor | | #{[:vs-code][vs-code-docs] [:intellij][intellij-docs] [:emacs][emacs-docs]} |\n| `:editor` | Enable editor commands, but use separate UI | | #{[:vs-code][vs-code-docs] [:intellij][intellij-docs] [:emacs][emacs-docs]} |\n| `:port` | Http server port for UI | 0 | int? |\n| `:host` | Http server host for UI | \"localhost\" | string? |\n\n\nFor more documentation, take a look through the [docs][docs].\n\n[cljdoc]: https://cljdoc.org/d/djblue/portal/CURRENT\n[cljdoc-badge]: https://cljdoc.org/badge/djblue/portal\n[clojars]: https://clojars.org/djblue/portal\n[clojars-badge]: https://img.shields.io/clojars/v/djblue/portal?color=380036\n[vscode]: https://marketplace.visualstudio.com/items?itemName=djblue.portal\n[vscode-badge]: https://img.shields.io/visual-studio-marketplace/v/djblue.portal?label=vs-code&color=007ACC&logo=vs\n[intellij]: https://plugins.jetbrains.com/plugin/18467-portal\n[intellij-badge]: https://img.shields.io/jetbrains/plugin/v/18467?label=intellij\n\n[clojurians]: https://clojurians.slack.com/channels/portal\n[clojurians-badge]: https://img.shields.io/badge/slack-clojurians%20%23portal-4A154B?color=63B132\n\n[live-demo]: https://www.youtube.com/watch?v=Tj-iyDo3bq0\n[london-clojurians]: https://www.youtube.com/channel/UC-pYfofTyvVDMwM4ttfFGqw\n[docs]: https://cljdoc.org/d/djblue/portal/0.57.3/doc/ui-concepts\n[ui-concepts]: https://cljdoc.org/d/djblue/portal/0.57.3/doc/ui-concepts\n\n[vs-code-docs]: ./doc/editors/vs-code.md\n[intellij-docs]: ./doc/editors/intellij.md\n[emacs-docs]: ./doc/editors/emacs.md#xwidget-webkit-embed\n\n[clojure-clr]: https://github.com/clojure/clojure-clr\n"}] ["UI Concepts" {:file "doc/ui/index.md", :markdown "# UI Concepts\n\nThe UI concepts in Portal can be broken down into the following categories:\n\n- [Selection](./selection.md)\n- [Viewers](./viewers.md)\n- [Commands](./commands.md)\n- [History](./history.md)\n- [Shortcuts](./shortcuts.md)\n- [Filtering](./filtering.md)\n- [Themes](./themes.md)\n\nTake a look through them to get a feel for how the UI is organized.\n"} ["Selection" {:file "doc/ui/selection.md", :markdown "# Selection\n\nA single click will select a value. The arrow keys, (`⭠` `⭣` `⭡` `⭢`) or (`h`\n`j` `k` `l` for vim folks) will change the selection relative to the currently\nselected value. Relative selection is based on the [viewer](./viewers.md).\n\nSelection is an important concept in the Portal UI since it is the basis for a\nlot of the other concepts.\n\n## Multi-Select\n\nTo select multiple values, hold down either `⌘` or `alt` and single click a\nvalue. To un-select a value, simply click it again while holding down the\nmulti-select key. The order of selection is important to the application of\n[commands](./commands.md).\n"}] ("Viewers" {:file "doc/ui/viewers.md", :markdown "# Viewers\n\nA viewer takes a value and renders it to the screen in a meaningful way. Since\na value can be visualized in various ways, there are usually multiple viewers to\nchoose from for a single value.\n\nViewers can have a `:predicate` function to define what values they support, so\nviewers are automatically filtered based on the value.\n\nThe bottom-left dropdown displays the viewer for the currently\n[selected](./selection.md) value and contains all supported viewers for that\nvalue.\n\n> **Note**\n> You can also switch viewers via the `portal.ui.commands/select-viewer`\n> [command](./commands.md).\n\n## Default Viewers\n\nSince the default priority order specified in Portal might not be desired, a\ndefault viewer can be set via [metadata](https://clojure.org/reference/metadata).\n\nFor example:\n\n```clojure\n(tap> ^{:portal.viewer/default :portal.viewer/hiccup} [:h1 \"hello, world\"])\n```\n\nOr for a dynamic value:\n\n```clojure\n(def hiccup [:h1 \"hello, world\"])\n\n(tap> (with-meta hiccup {:portal.viewer/default :portal.viewer/hiccup}))\n```\n\n## Tips\n\n### String Values\n\nFor values that don't support metadata, such as strings, you can leverage the\nhiccup viewer.\n\nFor example, given a markdown string, you could do the following:\n\n```clojure\n(def md-string \"# hello, world\")\n\n(tap>\n (with-meta\n [:portal.viewer/markdown md-string]\n {:portal.viewer/default :portal.viewer/hiccup}))\n```\n\nThe also illustrates an important aspect about the hiccup viewer, it support\ntraditional html and portal viewers as markup.\n"} ["ex" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/ex]] [:p "Viewer for datafied exceptions."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::cause string?)\n\n(s/def ::trace-line\n (s/cat :class (s/or :symbol symbol? :string string?)\n :method (s/or :symbol symbol? :string string?)\n :file (s/or :str string? :nil nil?)\n :line number?))\n\n(s/def ::trace (s/coll-of ::trace-line :min-count 1))\n\n(s/def ::type (s/or :symbol symbol? :string string?))\n(s/def ::message string?)\n(s/def ::at ::trace-line)\n\n(s/def ::via\n (s/coll-of\n (s/keys :req-un [::type]\n :opt-un [::message ::at])))\n\n(s/def ::exception\n (s/keys :req-un [::via]\n :opt-un [::trace ::cause]))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/ex {:via [{:type java.lang.ArithmeticException, :message "Divide by zero", :at [clojure.lang.Numbers divide "Numbers.java" 190]}], :trace [[clojure.lang.Numbers divide "Numbers.java" 190] [clojure.core$_SLASH_ invokeStatic "core.clj" 1029] [clojure.core$_SLASH_ invoke "core.clj" 1022] [sci.lang.Var invoke "lang.cljc" 182] [sci.impl.analyzer$return_call$reify__4841 eval "analyzer.cljc" 1350] [sci.impl.evaluator$eval_try invokeStatic "evaluator.cljc" 79] [sci.impl.analyzer$analyze_try$reify__4589 eval "analyzer.cljc" 919] [sci.impl.evaluator$fn_call$fn__2994 invoke "evaluator.cljc" 245] [clojure.core$mapv$fn__8535 invoke "core.clj" 6979] [clojure.lang.PersistentVector reduce "PersistentVector.java" 343] [clojure.core$reduce invokeStatic "core.clj" 6885] [clojure.core$mapv invokeStatic "core.clj" 6970] [sci.impl.evaluator$fn_call invokeStatic "evaluator.cljc" 256] [sci.impl.analyzer$return_call$reify__4913 eval "analyzer.cljc" 1350] [sci.impl.evaluator$eval_def invokeStatic "evaluator.cljc" 27] [sci.impl.analyzer$analyze_def$reify__4518 eval "analyzer.cljc" 715] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.namespaces$require invokeStatic "namespaces.cljc" 547] [sci.impl.namespaces$require doInvoke "namespaces.cljc" 547] [clojure.lang.RestFn invoke "RestFn.java" 423] [sci.lang.Var invoke "lang.cljc" 182] [sci.impl.analyzer$return_needs_ctx_call$reify__4773 eval "analyzer.cljc" 1300] [sci.impl.analyzer$return_if$reify__4552 eval "analyzer.cljc" 818] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.core$eval_string_STAR_ invokeStatic "core.cljc" 264] [babashka.main$exec$fn__30798$fn__30799 invoke "main.clj" 979] [babashka.main$exec$fn__30798 invoke "main.clj" 979] [babashka.main$exec invokeStatic "main.clj" 969] [babashka.main$main invokeStatic "main.clj" 1083] [babashka.main$main doInvoke "main.clj" 1053] [clojure.lang.RestFn applyTo "RestFn.java" 137] [clojure.core$apply invokeStatic "core.clj" 667] [babashka.main$_main$f__30873__auto____30883 invoke "main.clj" 1122] [clojure.lang.AFn run "AFn.java" 22] [java.lang.Thread run "Thread.java" 829] [com.oracle.svm.core.thread.PlatformThreads threadStartRoutine "PlatformThreads.java" 775] [com.oracle.svm.core.posix.thread.PosixPlatformThreads pthreadStartRoutine "PosixPlatformThreads.java" 203]], :cause "Divide by zero"}] ^{:key 1} [:portal.viewer/ex {:via [{:type java.lang.Exception, :message "hi", :at [java.lang.reflect.Constructor newInstance "Constructor.java" 490]}], :trace [[java.lang.reflect.Constructor newInstance "Constructor.java" 490] [sci.impl.Reflector invokeConstructor "Reflector.java" 310] [sci.impl.interop$invoke_constructor invokeStatic "interop.cljc" 58] [sci.impl.analyzer$analyze_new$reify__4641 eval "analyzer.cljc" 1039] [sci.impl.evaluator$fn_call$fn__2994 invoke "evaluator.cljc" 245] [clojure.core$mapv$fn__8535 invoke "core.clj" 6979] [clojure.lang.PersistentVector reduce "PersistentVector.java" 343] [clojure.core$reduce invokeStatic "core.clj" 6885] [clojure.core$mapv invokeStatic "core.clj" 6970] [sci.impl.evaluator$fn_call invokeStatic "evaluator.cljc" 256] [sci.impl.analyzer$return_call$reify__4913 eval "analyzer.cljc" 1350] [sci.impl.evaluator$eval_def invokeStatic "evaluator.cljc" 27] [sci.impl.analyzer$analyze_def$reify__4518 eval "analyzer.cljc" 715] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.namespaces$require invokeStatic "namespaces.cljc" 547] [sci.impl.namespaces$require doInvoke "namespaces.cljc" 547] [clojure.lang.RestFn invoke "RestFn.java" 423] [sci.lang.Var invoke "lang.cljc" 182] [sci.impl.analyzer$return_needs_ctx_call$reify__4773 eval "analyzer.cljc" 1300] [sci.impl.analyzer$return_if$reify__4552 eval "analyzer.cljc" 818] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.core$eval_string_STAR_ invokeStatic "core.cljc" 264] [babashka.main$exec$fn__30798$fn__30799 invoke "main.clj" 979] [babashka.main$exec$fn__30798 invoke "main.clj" 979] [babashka.main$exec invokeStatic "main.clj" 969] [babashka.main$main invokeStatic "main.clj" 1083] [babashka.main$main doInvoke "main.clj" 1053] [clojure.lang.RestFn applyTo "RestFn.java" 137] [clojure.core$apply invokeStatic "core.clj" 667] [babashka.main$_main$f__30873__auto____30883 invoke "main.clj" 1122] [clojure.lang.AFn run "AFn.java" 22] [java.lang.Thread run "Thread.java" 829] [com.oracle.svm.core.thread.PlatformThreads threadStartRoutine "PlatformThreads.java" 775] [com.oracle.svm.core.posix.thread.PosixPlatformThreads pthreadStartRoutine "PosixPlatformThreads.java" 203]], :cause "hi"}] ^{:key 2} [:portal.viewer/ex {:via [{:type java.io.FileNotFoundException, :message "/hello (No such file or directory)", :at [java.io.FileInputStream open0 "FileInputStream.java" -1]}], :trace [[java.io.FileInputStream open0 "FileInputStream.java" -1] [java.io.FileInputStream open "FileInputStream.java" 219] [java.io.FileInputStream "FileInputStream.java" 157] [clojure.java.io$fn__11617 invokeStatic "io.clj" 229] [clojure.java.io$fn__11617 invoke "io.clj" 229] [clojure.java.io$fn__11569$G__11523__11576 invoke "io.clj" 69] [clojure.java.io$fn__11629 invokeStatic "io.clj" 258] [clojure.java.io$fn__11629 invoke "io.clj" 254] [clojure.java.io$fn__11569$G__11523__11576 invoke "io.clj" 69] [clojure.java.io$fn__11591 invokeStatic "io.clj" 165] [clojure.java.io$fn__11591 invoke "io.clj" 165] [clojure.java.io$fn__11530$G__11519__11537 invoke "io.clj" 69] [clojure.java.io$reader invokeStatic "io.clj" 102] [clojure.java.io$reader doInvoke "io.clj" 86] [clojure.lang.RestFn invoke "RestFn.java" 410] [clojure.lang.AFn applyToHelper "AFn.java" 154] [clojure.lang.RestFn applyTo "RestFn.java" 132] [clojure.core$apply invokeStatic "core.clj" 669] [clojure.core$slurp invokeStatic "core.clj" 7009] [clojure.core$slurp doInvoke "core.clj" 7009] [clojure.lang.RestFn invoke "RestFn.java" 410] [sci.lang.Var invoke "lang.cljc" 180] [sci.impl.analyzer$return_call$reify__4837 eval "analyzer.cljc" 1350] [sci.impl.evaluator$eval_try invokeStatic "evaluator.cljc" 79] [sci.impl.analyzer$analyze_try$reify__4589 eval "analyzer.cljc" 919] [sci.impl.evaluator$fn_call$fn__2994 invoke "evaluator.cljc" 245] [clojure.core$mapv$fn__8535 invoke "core.clj" 6979] [clojure.lang.PersistentVector reduce "PersistentVector.java" 343] [clojure.core$reduce invokeStatic "core.clj" 6885] [clojure.core$mapv invokeStatic "core.clj" 6970] [sci.impl.evaluator$fn_call invokeStatic "evaluator.cljc" 256] [sci.impl.analyzer$return_call$reify__4913 eval "analyzer.cljc" 1350] [sci.impl.evaluator$eval_def invokeStatic "evaluator.cljc" 27] [sci.impl.analyzer$analyze_def$reify__4518 eval "analyzer.cljc" 715] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.namespaces$require invokeStatic "namespaces.cljc" 547] [sci.impl.namespaces$require doInvoke "namespaces.cljc" 547] [clojure.lang.RestFn invoke "RestFn.java" 423] [sci.lang.Var invoke "lang.cljc" 182] [sci.impl.analyzer$return_needs_ctx_call$reify__4773 eval "analyzer.cljc" 1300] [sci.impl.analyzer$return_if$reify__4552 eval "analyzer.cljc" 818] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.core$eval_string_STAR_ invokeStatic "core.cljc" 264] [babashka.main$exec$fn__30798$fn__30799 invoke "main.clj" 979] [babashka.main$exec$fn__30798 invoke "main.clj" 979] [babashka.main$exec invokeStatic "main.clj" 969] [babashka.main$main invokeStatic "main.clj" 1083] [babashka.main$main doInvoke "main.clj" 1053] [clojure.lang.RestFn applyTo "RestFn.java" 137] [clojure.core$apply invokeStatic "core.clj" 667] [babashka.main$_main$f__30873__auto____30883 invoke "main.clj" 1122] [clojure.lang.AFn run "AFn.java" 22] [java.lang.Thread run "Thread.java" 829] [com.oracle.svm.core.thread.PlatformThreads threadStartRoutine "PlatformThreads.java" 775] [com.oracle.svm.core.posix.thread.PosixPlatformThreads pthreadStartRoutine "PosixPlatformThreads.java" 203]], :cause "/hello (No such file or directory)"}] ^{:key 3} [:portal.viewer/ex {:via [{:type clojure.lang.ExceptionInfo, :message "My message", :data {:my :data}, :at [sci.lang.Var invoke "lang.cljc" 182]}], :trace [[sci.lang.Var invoke "lang.cljc" 182] [sci.impl.analyzer$return_call$reify__4841 eval "analyzer.cljc" 1350] [sci.impl.evaluator$fn_call$fn__2994 invoke "evaluator.cljc" 245] [clojure.core$mapv$fn__8535 invoke "core.clj" 6979] [clojure.lang.PersistentVector reduce "PersistentVector.java" 343] [clojure.core$reduce invokeStatic "core.clj" 6885] [clojure.core$mapv invokeStatic "core.clj" 6970] [sci.impl.evaluator$fn_call invokeStatic "evaluator.cljc" 256] [sci.impl.analyzer$return_call$reify__4913 eval "analyzer.cljc" 1350] [sci.impl.evaluator$eval_def invokeStatic "evaluator.cljc" 27] [sci.impl.analyzer$analyze_def$reify__4518 eval "analyzer.cljc" 715] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.analyzer$return_ns_op$reify__4653 eval "analyzer.cljc" 1140] [sci.impl.analyzer$return_do$reify__4253 eval "analyzer.cljc" 126] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.impl.interpreter$eval_string_STAR_ invoke "interpreter.cljc" 57] [sci.impl.load$handle_require_libspec$fn__4078 invoke "load.cljc" 116] [sci.impl.load$handle_require_libspec invokeStatic "load.cljc" 113] [sci.impl.load$load_lib invokeStatic "load.cljc" 144] [sci.impl.load$load_lib doInvoke "load.cljc" 138] [clojure.lang.RestFn applyTo "RestFn.java" 146] [clojure.core$apply invokeStatic "core.clj" 671] [sci.impl.load$load_libs invokeStatic "load.cljc" 185] [sci.impl.load$eval_require invokeStatic "load.cljc" 194] [sci.impl.load$eval_require doInvoke "load.cljc" 194] [clojure.lang.RestFn applyTo "RestFn.java" 139] [clojure.core$apply invokeStatic "core.clj" 669] [sci.impl.namespaces$require invokeStatic "namespaces.cljc" 547] [sci.impl.namespaces$require doInvoke "namespaces.cljc" 547] [clojure.lang.RestFn invoke "RestFn.java" 423] [sci.lang.Var invoke "lang.cljc" 182] [sci.impl.analyzer$return_needs_ctx_call$reify__4773 eval "analyzer.cljc" 1300] [sci.impl.analyzer$return_if$reify__4552 eval "analyzer.cljc" 818] [sci.impl.interpreter$eval_form invokeStatic "interpreter.cljc" 40] [sci.impl.interpreter$eval_string_STAR_ invokeStatic "interpreter.cljc" 62] [sci.core$eval_string_STAR_ invokeStatic "core.cljc" 264] [babashka.main$exec$fn__30798$fn__30799 invoke "main.clj" 979] [babashka.main$exec$fn__30798 invoke "main.clj" 979] [babashka.main$exec invokeStatic "main.clj" 969] [babashka.main$main invokeStatic "main.clj" 1083] [babashka.main$main doInvoke "main.clj" 1053] [clojure.lang.RestFn applyTo "RestFn.java" 137] [clojure.core$apply invokeStatic "core.clj" 667] [babashka.main$_main$f__30873__auto____30883 invoke "main.clj" 1122] [clojure.lang.AFn run "AFn.java" 22] [java.lang.Thread run "Thread.java" 829] [com.oracle.svm.core.thread.PlatformThreads threadStartRoutine "PlatformThreads.java" 775] [com.oracle.svm.core.posix.thread.PosixPlatformThreads pthreadStartRoutine "PosixPlatformThreads.java" 203]], :cause "My message", :data {:my :data}}]]]}] ["log" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/log]] [:p "Useful for conveying a value in a specific context (what/where/when)."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(def ^:private levels\n [:trace :debug :info :warn :error :fatal :report])\n\n(s/def ::level (set levels))\n\n(s/def ::ns symbol?)\n(s/def ::time inst?)\n\n(s/def ::column int?)\n(s/def ::line int?)\n\n(s/def ::log\n (s/keys :req-un\n [::level\n ::ns\n ::time\n ::line\n ::column]))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/log ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns user, :time #inst "2006-03-24T14:49:31.000-00:00", :level :info, :column 1, :line 1, :result :hello/clj, :runtime :clj, :form :hello/clj}] ^{:key 1} [:portal.viewer/log ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns user, :time #inst "2009-02-03T06:25:17.000-00:00", :level :debug, :column 1, :line 2, :result :hello/cljr, :runtime :cljr, :form :hello/cljr}] ^{:key 2} [:portal.viewer/log ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns cljs.user, :time #inst "2011-06-02T23:45:57.000-00:00", :level :warn, :column 1, :line 3, :result :hello/cljs, :runtime :cljs, :form :hello/cljs}] ^{:key 3} [:portal.viewer/log ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns tasks, :time #inst "2019-08-09T12:51:42.000-00:00", :level :error, :column 1, :line 4, :result :hello/bb, :runtime :bb, :form :hello/bb}] ^{:key 4} [:portal.viewer/log ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns portal.api, :time #inst "2020-06-03T01:43:08.000-00:00", :level :info, :column 1, :line 5, :result :hello/portal, :runtime :portal, :form :hello/portal}] ^{:key 5} [:portal.viewer/log ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns nbb.core, :time #inst "2021-07-27T13:38:51.000-00:00", :level :debug, :column 1, :line 6, :result :hello/nbb, :runtime :nbb, :form :hello/nbb}] ^{:key 6} [:portal.viewer/log ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns joyride.core, :time #inst "2022-04-23T22:24:46.000-00:00", :level :error, :column 1, :line 7, :result :hello/joyride, :runtime :joyride, :form :hello/joyride}]]]}] ["http" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/http]] [:p "Highlight HTTP method and status code for http request and response."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::uri string?)\n\n(defn valid-status? [value] (<= 100 value 599))\n(s/def ::status (s/and int? valid-status?))\n(s/def ::name (s/or :string string? :keyword keyword?))\n(s/def ::header (s/or :string string? :strings (s/coll-of string?)))\n(s/def ::headers (s/map-of ::name ::header))\n(s/def ::query-params (s/map-of ::name ::name))\n(s/def ::doc string?)\n\n(s/def ::request-method #{:get :head :post :put :patch :delete :options})\n\n(s/def ::request\n (s/keys :req-un [::request-method\n ::uri]\n :opt-un [::headers\n ::query-params\n ::body\n ::doc]))\n\n(s/def ::request\n (s/keys :req-un [::request-method\n ::uri]\n :opt-un [::headers\n ::query-params\n ::body\n ::doc]))\n\n(s/def ::response\n (s/keys :req-un [::status]\n :opt-un [::headers\n ::body\n ::doc]))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:request-method :get, :uri "https://djblue.github.io/portal/"}] ^{:key 1} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:request-method :post, :uri "https://djblue.github.io/portal/"}] ^{:key 2} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:request-method :put, :uri "https://djblue.github.io/portal/"}] ^{:key 3} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:request-method :patch, :uri "https://djblue.github.io/portal/"}] ^{:key 4} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:request-method :delete, :uri "https://djblue.github.io/portal/"}] ^{:key 5} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:request-method :options, :uri "https://djblue.github.io/portal/"}] ^{:key 6} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:status 100, :headers {:content-type "text/html; charset=utf-8"}, :body "hi"}] ^{:key 7} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:status 200, :headers {:content-type "text/html; charset=utf-8"}, :body "hi"}] ^{:key 8} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:status 300, :headers {:content-type "text/html; charset=utf-8"}, :body "hi"}] ^{:key 9} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:status 400, :headers {:content-type "text/html; charset=utf-8"}, :body "hi"}] ^{:key 10} [:portal.viewer/http ^#:portal.viewer{:default :portal.viewer/http} {:status 500, :headers {:content-type "text/html; charset=utf-8"}, :body "hi"}]]]}] ["image" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/image]] [:p "View a binary value as an image."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/image #portal/bin 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"]]]}] ["test-report" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/test-report]] [:p "View clojure.test report output."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def :test-run/type #{:end-run-tests})\n\n(s/def ::test-run\n (s/keys :req-un [:test-run/type]))\n\n(s/def :test-ns/type #{:begin-test-ns :end-test-ns})\n\n(s/def ::test-ns\n (s/keys :req-un [:test-ns/type ::ns]))\n\n(s/def :test-var/type #{:begin-test-var :end-test-var})\n\n(s/def ::test-var\n (s/keys :req-un [:test-var/type ::var]))\n\n(s/def :assert/type #{:pass :fail :error})\n\n(s/def ::assert\n (s/keys :req-un [:assert/type]\n :opt-un [::file ::line ::actual ::expected ::message]))\n\n(s/def :summary/type #{:summary})\n\n(s/def ::pass number?)\n(s/def ::fail number?)\n(s/def ::error number?)\n(s/def ::test number?)\n\n(s/def ::summary\n (s/keys :req-un [:summary/type ::pass ::fail ::error ::test]))\n\n(s/def ::output\n (s/or :run ::test-run\n :ns ::test-ns\n :var ::test-var\n :assert ::assert\n :summary ::summary))\n\n(s/def ::report\n (s/coll-of ::output :min-count 1))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/test-report ^#:portal.viewer{:default :portal.viewer/test-report} [{:type :begin-test-ns, :ns #object[sci.lang.Namespace 0x3b27fed4 "examples.data"]} {:type :begin-test-var, :var #'examples.data/test-report} {:type :pass, :expected ^{:line 880, :column 17} (= 0 0), :actual ^{:line 881, :column 17} (= 0 0), :message nil} {:file "NO_SOURCE_FILE", :type :fail, :line 8, :expected ^{:line 886, :column 17} (= 0 ^{:line 886, :column 22} (inc 0)), :actual ^{:line 887, :column 17} (not ^{:line 887, :column 22} (= 0 1)), :message nil} {:type :end-test-var, :var #'examples.data/test-report} {:type :end-test-ns, :ns #object[sci.lang.Namespace 0x3b27fed4 "examples.data"]}]]]]}] ["prepl" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/prepl]] [:p "View interlacing of stdout, stderr and tap values. Useful for build output."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::tag #{:out :err :tap :ret})\n\n(s/def ::out\n (s/keys :req-un [::tag ::val]))\n\n(s/def ::prepl\n (s/coll-of ::out :min-count 1))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/prepl ^#:portal.viewer{:default :portal.viewer/prepl} [{:val "=> clojure -M:cljfmt check dev src test extension-intellij/src/main/clojure\n", :tag :out} {:val "-> 6.872 seconds \n\n", :tag :out} {:val "=> clojure -M:kondo --lint dev src test extension-intellij/src/main/clojure\n", :tag :out} {:val "-> 8.537 seconds \n\n", :tag :out} {:val "=> clojure -M:cider:check\n", :tag :out} {:val "-> 3.77 seconds \n\n", :tag :out} {:val "=> ./gradlew --warning-mode all checkClojure\n", :tag :out} {:val "-> 1.477 seconds \n\n", :tag :out} {:val "=> clojure -Sdeps {:deps #:org.clojure{clojurescript #:mvn{:version \"1.10.773\"}}} -M:test -m cljs.main --output-dir target/cljs-output-1.10.773 --target node --output-to target/test.1.10.773.js --compile portal.test-runner\n", :tag :out} {:val "-> 5.470 seconds \n\n", :tag :out} {:val "=> node target/test.1.10.773.js\n", :tag :out} {:val "-> 0.540 seconds \n\n", :tag :out} {:val "=> clojure -Sdeps {:deps #:org.clojure{clojurescript #:mvn{:version \"1.10.844\"}}} -M:test -m cljs.main --output-dir target/cljs-output-1.10.844 --target node --output-to target/test.1.10.844.js --compile portal.test-runner\n", :tag :out} {:val "-> 6.328 seconds \n\n", :tag :out} {:val "=> node target/test.1.10.844.js\n", :tag :out} {:val "-> 0.307 seconds \n\n", :tag :out} {:val "=> planck -c src:test -m portal.test-planck\n", :tag :out} {:val "-> 2.39 seconds \n\n", :tag :out} {:val "=> clojure -M:cljs:shadow -m shadow.cljs.devtools.cli release client\n", :tag :out} {:val "-> 38.140 seconds \n\n", :tag :out} {:val "=> clojure -M:test -m portal.test-runner\n", :tag :out} {:val "-> 4.777 seconds \n\n", :tag :out} {:val "=> bb -m portal.test-runner\n", :tag :out} {:val "-> 1.408 seconds \n\n", :tag :out}]]]]}] ["color" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/color]] [:p "View hex / rgb / rgba colors"] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(defn- hex-short? [string]\n (re-matches #\"#[0-9a-fA-F]{3}gi\" string))\n\n(defn- hex-full? [string]\n (re-matches #\"#[0-9a-fA-F]{6}\" string))\n\n(defn- hex-alpha? [string]\n (re-matches #\"#[0-9a-fA-F]{8}\" string))\n\n(defn- rgb-color? [string]\n (re-matches #\"rgb\\(\\d+,\\d+,\\d+\\)\" string))\n\n(defn- rgba-color? [string]\n (re-matches #\"rgba\\(.+,.+,.+,.+\\)\" string))\n\n(s/def ::hex\n (s/or :short hex-short?\n :full hex-full?\n :alpha hex-alpha?))\n\n(s/def ::rgb\n (s/or :rgb rgb-color? :rgba rgba-color?))\n\n(s/def ::color\n (s/and string? (s/or :hex ::hex :rgb ::rgb)))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/color "#98be65"] ^{:key 1} [:portal.viewer/color "#61afef"] ^{:key 2} [:portal.viewer/color "#ff6c6b"] ^{:key 3} [:portal.viewer/color "#abb2bf"] ^{:key 4} [:portal.viewer/color "#22252c"] ^{:key 5} [:portal.viewer/color "#da8548"] ^{:key 6} [:portal.viewer/color "#ccd4e3"] ^{:key 7} [:portal.viewer/color "#da8548"] ^{:key 8} [:portal.viewer/color "#61afef"] ^{:key 9} [:portal.viewer/color "#a3be8c"] ^{:key 10} [:portal.viewer/color "#88c0d0"] ^{:key 11} [:portal.viewer/color "#4c566a"] ^{:key 12} [:portal.viewer/color "#abb2bf"] ^{:key 13} [:portal.viewer/color "#ff6c6b"] ^{:key 14} [:portal.viewer/color "#da8548"] ^{:key 15} [:portal.viewer/color "#282c34"]]]}] ["duration-ns" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/duration-ns]] [:p "Interpret number as a duration in nanoseconds, round up to minutes."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/duration-ns 1] ^{:key 1} [:portal.viewer/duration-ns 1000.0] ^{:key 2} [:portal.viewer/duration-ns 1000000.0] ^{:key 3} [:portal.viewer/duration-ns 1.0E9] ^{:key 4} [:portal.viewer/duration-ns 6.0E10]]]}] ["duration-ms" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/duration-ms]] [:p "Interpret number as a duration in milliseconds, round up to minutes."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/duration-ms 1] ^{:key 1} [:portal.viewer/duration-ms 1000.0] ^{:key 2} [:portal.viewer/duration-ms 60000.0]]]}] ["size-bytes" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/size-bytes]] [:p "Interpret number as amount of bytes."] nil nil]}] ["pprint" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/pprint]] [:p "View value printed via clojure.pprint/pprint."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/pprint {:examples.data/list (1 2 3), :examples.data/ns-symbol hello/world, :examples.data/vector [1 2 4], :examples.data/url-string "https://github.com/djblue/portal", :examples.data/keyword :hello-world, :examples.data/nil nil, :examples.data/set #{1 3 2}, :examples.data/special-doubles [##NaN ##Inf ##-Inf], :examples.data/range (0 1 2 3 4 5 6 7 8 9), :examples.data/character \A, :examples.data/ns-keyword :examples.data/hello-world, :examples.data/char-seq (\h \i \newline), :examples.data/booleans #{true false}, :examples.data/nested-vector [1 2 3 [4 5 6]], "string-key" "string-value"}]]]}] ["vega-lite" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/vega-lite]] nil [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(def vega-lite-url #\"https://vega\\.github\\.io/schema/vega-lite/v\\d\\.json\")\n\n(s/def ::name string?)\n(s/def ::description string?)\n(s/def ::$schema\n (s/and string? #(re-matches vega-lite-url %)))\n\n(s/def ::vega-lite\n (s/keys :req-un [(or ::data ::datasets)]\n :opt-un [::name ::description ::$schema]))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :data {:values (^{:line 278, :column 18} {:time 0, :value 0.0} ^{:line 278, :column 18} {:time 0.25, :value 0.24740395925452294} ^{:line 278, :column 18} {:time 0.5, :value 0.479425538604203} ^{:line 278, :column 18} {:time 0.75, :value 0.6816387600233341} ^{:line 278, :column 18} {:time 1.0, :value 0.8414709848078965} ^{:line 278, :column 18} {:time 1.25, :value 0.9489846193555862} ^{:line 278, :column 18} {:time 1.5, :value 0.9974949866040544} ^{:line 278, :column 18} {:time 1.75, :value 0.9839859468739369} ^{:line 278, :column 18} {:time 2.0, :value 0.9092974268256817} ^{:line 278, :column 18} {:time 2.25, :value 0.7780731968879212} ^{:line 278, :column 18} {:time 2.5, :value 0.5984721441039564} ^{:line 278, :column 18} {:time 2.75, :value 0.38166099205233167} ^{:line 278, :column 18} {:time 3.0, :value 0.1411200080598672} ^{:line 278, :column 18} {:time 3.25, :value -0.10819513453010837} ^{:line 278, :column 18} {:time 3.5, :value -0.35078322768961984} ^{:line 278, :column 18} {:time 3.75, :value -0.5715613187423437} ^{:line 278, :column 18} {:time 4.0, :value -0.7568024953079282} ^{:line 278, :column 18} {:time 4.25, :value -0.8949893582285835} ^{:line 278, :column 18} {:time 4.5, :value -0.977530117665097} ^{:line 278, :column 18} {:time 4.75, :value -0.999292788975378} ^{:line 278, :column 18} {:time 5.0, :value -0.9589242746631385} ^{:line 278, :column 18} {:time 5.25, :value -0.858934493426592} ^{:line 278, :column 18} {:time 5.5, :value -0.7055403255703919} ^{:line 278, :column 18} {:time 5.75, :value -0.5082790774992584} ^{:line 278, :column 18} {:time 6.0, :value -0.27941549819892586} ^{:line 278, :column 18} {:time 6.25, :value -0.03317921654755682})}, :encoding {:x {:field "time", :type "quantitative"}, :y {:field "value", :type "quantitative"}}, :mark "line"}] ^{:key 1} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :description "A simple pie chart with labels.", :data {:values [{:category "a", :value 4} {:category "b", :value 6} {:category "c", :value 10} {:category "d", :value 3} {:category "e", :value 7} {:category "f", :value 8}]}, :encoding {:theta {:field "value", :type "quantitative", :stack true}, :color {:field "category", :type "nominal", :legend nil}}, :layer [{:mark {:type "arc", :outerRadius 80}} {:mark {:type "text", :radius 90}, :encoding {:text {:field "category", :type "nominal"}}}], :view {:stroke nil}}] ^{:key 2} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :data {:values [{:a "A", :b 28} {:a "B", :b 55} {:a "C", :b 43} {:a "D", :b 91} {:a "E", :b 81} {:a "F", :b 53}]}, :mark "bar", :encoding {:x {:field "a", :type "nominal", :axis {:labelAngle 0}}, :y {:field "b", :type "quantitative"}}}] ^{:key 3} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :description "A scatterplot showing horsepower and miles per gallons for various cars.", :data {:url "https://vega.github.io/vega-lite/data/cars.json"}, :mark "point", :encoding {:x {:field "Horsepower", :type "quantitative"}, :y {:field "Miles_per_Gallon", :type "quantitative"}}}] ^{:key 4} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :data {:url "https://vega.github.io/editor/data/weather.csv"}, :transform [{:filter "datum.location === 'Seattle'"}], :vconcat [{:mark "bar", :encoding {:x {:timeUnit "month", :field "date", :type "ordinal"}, :y {:aggregate "mean", :field "precipitation", :type "quantitative"}}} {:mark "point", :encoding {:x {:field "temp_min", :type "quantitative", :bin true}, :y {:field "temp_max", :type "quantitative", :bin true}, :size {:aggregate "count", :type "quantitative"}}}]}] ^{:key 5} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :data {:url "https://vega.github.io/editor/data/weather.csv"}, :transform [{:filter "datum.location === 'Seattle'"}], :hconcat [{:mark "bar", :encoding {:x {:timeUnit "month", :field "date", :type "ordinal"}, :y {:aggregate "mean", :field "precipitation"}}} {:mark "point", :encoding {:x {:field "temp_min", :bin true}, :y {:field "temp_max", :bin true}, :size {:aggregate "count"}}}]}] ^{:key 6} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :data {:url "https://vega.github.io/vega-lite/data/movies.json"}, :transform [{:filter {:and [{:field "IMDB Rating", :valid true} {:field "Rotten Tomatoes Rating", :valid true}]}}], :mark "rect", :height 400, :encoding {:x {:bin {:maxbins 60}, :field "IMDB Rating", :type "quantitative"}, :y {:bin {:maxbins 40}, :field "Rotten Tomatoes Rating", :type "quantitative"}, :color {:aggregate "count", :type "quantitative"}}, :config {:view {:stroke "transparent"}}}] ^{:key 7} [:portal.viewer/vega-lite ^#:portal.viewer{:default :portal.viewer/vega-lite} {:$schema "https://vega.github.io/schema/vega-lite/v5.json", :data {:url "https://vega.github.io/vega-lite/data/airports.csv"}, :projection {:type "albersUsa"}, :mark "circle", :encoding {:longitude {:field "longitude", :type "quantitative"}, :latitude {:field "latitude", :type "quantitative"}, :size {:value 10}}, :config {:view {:stroke "transparent"}}}]]]}] ["vega" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/vega]] nil [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(def vega-url #\"https://vega\\.github\\.io/schema/vega/v\\d\\.json\")\n\n(s/def ::$schema\n (s/and string? #(re-matches vega-url %)))\n\n(s/def ::vega\n (s/keys :req-un [::$schema]))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/vega ^#:portal.viewer{:default :portal.viewer/vega} {:title "Force Directed Layout", :description "A node-link diagram with force-directed layout, depicting character co-occurrence in the novel Les Misérables.", :scales [{:name "color", :type "ordinal", :domain {:data "node-data", :field "group"}, :range {:scheme "category20c"}}], :marks [{:name "nodes", :type "symbol", :zindex 1, :from {:data "node-data"}, :on [{:trigger "fix", :modify "node", :values "fix === true ? {fx: node.x, fy: node.y} : {fx: fix[0], fy: fix[1]}"} {:trigger "!fix", :modify "node", :values "{fx: null, fy: null}"}], :encode {:enter {:fill {:scale "color", :field "group"}, :stroke {:value "white"}}, :update {:size {:signal "2 * nodeRadius * nodeRadius"}, :cursor {:value "pointer"}}}, :transform [{:type "force", :iterations 300, :restart {:signal "restart"}, :static {:signal "static"}, :signal "force", :forces [{:force "center", :x {:signal "cx"}, :y {:signal "cy"}} {:force "collide", :radius {:signal "nodeRadius"}} {:force "nbody", :strength {:signal "nodeCharge"}} {:force "link", :links "link-data", :distance {:signal "linkDistance"}}]}]} {:type "path", :from {:data "link-data"}, :interactive false, :encode {:update {:stroke {:value "#ccc"}, :strokeWidth {:value 0.5}}}, :transform [{:type "linkpath", :require {:signal "force"}, :shape "line", :sourceX "datum.source.x", :sourceY "datum.source.y", :targetX "datum.target.x", :targetY "datum.target.y"}]}], :$schema "https://vega.github.io/schema/vega/v5.json", :signals [{:name "cx", :update "width / 2"} {:name "cy", :update "height / 2"} {:name "nodeRadius", :value 8, :bind {:input "range", :min 1, :max 50, :step 1}} {:name "nodeCharge", :value -30, :bind {:input "range", :min -100, :max 10, :step 1}} {:name "linkDistance", :value 30, :bind {:input "range", :min 5, :max 100, :step 1}} {:name "static", :value true, :bind {:input "checkbox"}} {:description "State variable for active node fix status.", :name "fix", :value false, :on [{:events "symbol:mouseout[!event.buttons], window:mouseup", :update "false"} {:events "symbol:mouseover", :update "fix || true"} {:events "[symbol:mousedown, window:mouseup] > window:mousemove!", :update "xy()", :force true}]} {:description "Graph node most recently interacted with.", :name "node", :value nil, :on [{:events "symbol:mouseover", :update "fix === true ? item() : node"}]} {:description "Flag to restart Force simulation upon data changes.", :name "restart", :value false, :on [{:events {:signal "fix"}, :update "fix && fix.length"}]}], :data [{:name "node-data", :url "https://vega.github.io/vega-lite/data/miserables.json", :format {:type "json", :property "nodes"}} {:name "link-data", :url "https://vega.github.io/vega-lite/data/miserables.json", :format {:type "json", :property "links"}}]}] ^{:key 1} [:portal.viewer/vega ^#:portal.viewer{:default :portal.viewer/vega} {:title "Radial Tree", :description "An example of a radial layout for a node-link diagram of hierarchical data.", :scales [{:name "color", :type "linear", :range {:scheme "magma"}, :domain {:data "tree", :field "depth"}, :zero true}], :marks [{:type "path", :from {:data "links"}, :encode {:update {:x {:signal "originX"}, :y {:signal "originY"}, :path {:field "path"}, :stroke {:value "#ccc"}}}} {:type "symbol", :from {:data "tree"}, :encode {:enter {:size {:value 100}, :stroke {:value "#fff"}}, :update {:x {:field "x"}, :y {:field "y"}, :fill {:scale "color", :field "depth"}}}} {:type "text", :from {:data "tree"}, :encode {:enter {:text {:field "name"}, :fontSize {:value 9}, :fill {:value "#fff"}, :baseline {:value "middle"}}, :update {:x {:field "x"}, :y {:field "y"}, :dx {:signal "(datum.leftside ? -1 : 1) * 6"}, :angle {:signal "datum.leftside ? datum.angle - 180 : datum.angle"}, :align {:signal "datum.leftside ? 'right' : 'left'"}, :opacity {:signal "labels ? 1 : 0"}}}}], :$schema "https://vega.github.io/schema/vega/v5.json", :signals [{:name "labels", :value true, :bind {:input "checkbox"}} {:name "radius", :value 280, :bind {:input "range", :min 20, :max 600}} {:name "extent", :value 360, :bind {:input "range", :min 0, :max 360, :step 1}} {:name "rotate", :value 0, :bind {:input "range", :min 0, :max 360, :step 1}} {:name "layout", :value "tidy", :bind {:input "radio", :options ["tidy" "cluster"]}} {:name "links", :value "line", :bind {:input "select", :options ["line" "curve" "diagonal" "orthogonal"]}} {:name "originX", :update "width / 2"} {:name "originY", :update "height / 2"}], :data [{:name "tree", :url "https://vega.github.io/vega-lite/data/flare.json", :transform [{:type "stratify", :key "id", :parentKey "parent"} {:type "tree", :method {:signal "layout"}, :size [1 {:signal "radius"}], :as ["alpha" "radius" "depth" "children"]} {:type "formula", :expr "(rotate + extent * datum.alpha + 270) % 360", :as "angle"} {:type "formula", :expr "PI * datum.angle / 180", :as "radians"} {:type "formula", :expr "inrange(datum.angle, [90, 270])", :as "leftside"} {:type "formula", :expr "originX + datum.radius * cos(datum.radians)", :as "x"} {:type "formula", :expr "originY + datum.radius * sin(datum.radians)", :as "y"}]} {:name "links", :source "tree", :transform [{:type "treelinks"} {:type "linkpath", :shape {:signal "links"}, :orient "radial", :sourceX "source.radians", :sourceY "source.radius", :targetX "target.radians", :targetY "target.radius"}]}]}] ^{:key 2} [:portal.viewer/vega ^#:portal.viewer{:default :portal.viewer/vega} {:title "Sunburst", :description "An example of a space-fulling radial layout for hierarchical data.", :scales [{:name "color", :type "ordinal", :domain {:data "tree", :field "depth"}, :range {:scheme "tableau20"}}], :marks [{:type "arc", :from {:data "tree"}, :encode {:enter {:x {:signal "width / 2"}, :y {:signal "height / 2"}, :fill {:scale "color", :field "depth"}, :tooltip {:signal "datum.name + (datum.size ? ', ' + datum.size + ' bytes' : '')"}}, :update {:startAngle {:field "a0"}, :endAngle {:field "a1"}, :innerRadius {:field "r0"}, :outerRadius {:field "r1"}, :stroke {:value "white"}, :strokeWidth {:value 0.5}, :zindex {:value 0}}, :hover {:stroke {:value "red"}, :strokeWidth {:value 2}, :zindex {:value 1}}}}], :$schema "https://vega.github.io/schema/vega/v5.json", :data [{:name "tree", :url "https://vega.github.io/vega-lite/data/flare.json", :transform [{:type "stratify", :key "id", :parentKey "parent"} {:type "partition", :field "size", :sort {:field "value"}, :size [{:signal "2 * PI"} {:signal "width / 2"}], :as ["a0" "r0" "a1" "r1" "depth" "children"]}]}]}]]]}] ["bin" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/bin]] [:p "View binary data as a hexdump."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/bin #portal/bin 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"]]]}] ["table" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/table]] [:p "View value as a table. Supports sticky headers and keyboard navigation."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::map map?)\n(s/def ::coll-of-maps (s/coll-of map?))\n(s/def ::multi-map (s/map-of any? ::coll-of-maps))\n(s/def ::map-of-maps (s/map-of any? map?))\n(s/def ::coll-of-vector (s/coll-of vector?))\n\n(s/def ::table\n (s/or :multi-map ::multi-map\n :map-of-maps ::map-of-maps\n :map ::map\n :coll-of-maps ::coll-of-maps\n :coll-of-vector ::coll-of-vector))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/table ^#:portal.viewer{:default :portal.viewer/table, :table {:columns [:level :ns :result :runtime :time]}} [^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns user, :time #inst "2006-03-24T14:49:31.000-00:00", :level :info, :column 1, :line 1, :result :hello/clj, :runtime :clj, :form :hello/clj} ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns user, :time #inst "2009-02-03T06:25:17.000-00:00", :level :debug, :column 1, :line 2, :result :hello/cljr, :runtime :cljr, :form :hello/cljr} ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns cljs.user, :time #inst "2011-06-02T23:45:57.000-00:00", :level :warn, :column 1, :line 3, :result :hello/cljs, :runtime :cljs, :form :hello/cljs} ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns tasks, :time #inst "2019-08-09T12:51:42.000-00:00", :level :error, :column 1, :line 4, :result :hello/bb, :runtime :bb, :form :hello/bb} ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns portal.api, :time #inst "2020-06-03T01:43:08.000-00:00", :level :info, :column 1, :line 5, :result :hello/portal, :runtime :portal, :form :hello/portal} ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns nbb.core, :time #inst "2021-07-27T13:38:51.000-00:00", :level :debug, :column 1, :line 6, :result :hello/nbb, :runtime :nbb, :form :hello/nbb} ^#:portal.viewer{:default :portal.viewer/log, :for {:time :portal.viewer/date-time}} {:ns joyride.core, :time #inst "2022-04-23T22:24:46.000-00:00", :level :error, :column 1, :line 7, :result :hello/joyride, :runtime :joyride, :form :hello/joyride}]] ^{:key 1} [:portal.viewer/table ^#:portal.viewer{:default :portal.viewer/table, :table {:columns [:nFiles :blank :comment :code]}} {:ClojureScript {:nFiles 75, :blank 969, :comment 66, :code 7889}, :ClojureC {:nFiles 27, :blank 337, :comment 3, :code 2785}, :Clojure {:nFiles 41, :blank 288, :comment 11, :code 1909}, :SUM {:blank 1594, :comment 80, :code 12583, :nFiles 143}}] ^{:key 2} [:portal.viewer/table ^#:portal.viewer{:default :portal.viewer/table, :table {:columns [:a :b :c :d :e]}} [[1 0 0 0 0] [0 1 0 0 0] [0 0 1 0 0] [0 0 0 1 0] [0 0 0 0 1]]] ^{:key 3} [:portal.viewer/table ^#:portal.viewer{:default :portal.viewer/table, :table {:columns [:flags :parameter-types :return-type]}} {asTransient [{:name asTransient, :return-type clojure.lang.ITransientMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [], :exception-types [], :flags #{:public}} {:name asTransient, :return-type clojure.lang.ITransientCollection, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [], :exception-types [], :flags #{:public :bridge :synthetic}}], assoc [{:name assoc, :return-type clojure.lang.IPersistentMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [java.lang.Object java.lang.Object], :exception-types [], :flags #{:public}} {:name assoc, :return-type clojure.lang.Associative, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [java.lang.Object], :exception-types [], :flags #{:public :bridge :synthetic}}], PersistentArrayMap [{:name clojure.lang.PersistentArrayMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [clojure.lang.IPersistentMap java.lang.Object<>], :exception-types [], :flags #{:public}} {:name clojure.lang.PersistentArrayMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [], :exception-types [], :flags #{:protected}} {:name clojure.lang.PersistentArrayMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [java.lang.Object<>], :exception-types [], :flags #{:public}}], count [{:name count, :return-type int, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [], :exception-types [], :flags #{:public}}], create [{:name create, :return-type clojure.lang.PersistentArrayMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [java.lang.Object<>], :exception-types [], :flags #{:varargs}} {:name create, :return-type clojure.lang.IPersistentMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [java.util.Map], :exception-types [], :flags #{:public :static}}], empty [{:name empty, :return-type clojure.lang.IPersistentMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [], :exception-types [], :flags #{:public}} {:name empty, :return-type clojure.lang.IPersistentCollection, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [], :exception-types [], :flags #{:public :bridge :synthetic}}], meta [{:name meta, :return-type clojure.lang.IPersistentMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [], :exception-types [], :flags #{:public}}], withMeta [{:name withMeta, :return-type clojure.lang.IObj, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [clojure.lang.IPersistentMap], :exception-types [], :flags #{:public :bridge :synthetic}} {:name withMeta, :return-type clojure.lang.PersistentArrayMap, :declaring-class clojure.lang.PersistentArrayMap, :parameter-types [clojure.lang.IPersistentMap], :exception-types [], :flags #{:public}}]}]]]}] ["tree" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/tree]] [:p "For viewing highly nested values, such as hiccup."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/tree [:<> [:h1 "Hello, I'm hiccup"] [:a {:href "https://github.com/djblue/portal"} "djblue/portal"] [:portal.viewer/inspector {:hello :world}]]]]]}] ["text" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/text]] [:p "View string as a text file."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/text "# portal\n\nA clojure tool to navigate through your data.\n\n[![cljdoc][cljdoc-badge]][cljdoc]\n[![Clojars Project][clojars-badge]][clojars]\n[![VS Code Extension][vscode-badge]][vscode]\n[![Version][intellij-badge]][intellij]\n[![Get help on Slack][clojurians-badge]][clojurians]\n\n\n\n\n\n \n \n \n\n\n\nThe portal UI can be used to inspect values of various shapes and sizes. The UX\nwill probably evolve over time and user feedback is welcome!\n\nFor an in-depth explanation of the UI, you can jump to the [UI][ui-concepts]\ndocs.\n\n## Demo\n\nTo get an overview of the Portal UI and workflow, checkout the following\nrecording of a [live demo][live-demo] I gave for [London\nClojurians][london-clojurians].\n\n\n\"London\n\n\nMore video presentations on Portal can be found [here](./doc/videos.md).\n\n## Usage\n\nTo start a repl with portal, run the **clojure >= 1.10.0** cli with:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}}}'\n```\n\nor for a **web** **clojurescript >= 1.10.773** repl, do:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}\n org.clojure/clojurescript {:mvn/version \"1.10.844\"}}}' \\\n -m cljs.main\n```\n\nor for a **node** **clojurescript >= 1.10.773** repl, do:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}\n org.clojure/clojurescript {:mvn/version \"1.10.844\"}}}' \\\n -m cljs.main -re node\n```\n\nor for a **babashka >=0.2.4** repl, do:\n\n```bash\nbb -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}}}'\n```\n\nor for a lein `project.clj`, add:\n\n```clojure\n{:profiles {:dev {:dependencies [[djblue/portal \"0.57.3\"]]}}}\n```\n\nor as a global profile, add to `~/.lein/profiles.clj`:\n\n```clojure\n{:portal {:dependencies [[djblue/portal \"0.57.3\"]]}}\n```\n\n> **Note**\n> If you add Portal to a profile other than `:dev`, when starting a REPL\n> start it with `with-profiles +portal`. The `+` is important.\n\nor for [**Clojure CLR**][clojure-clr], checkout this [example project](./examples/clr),\n\nor for examples on how to integrate portal into an existing project, look\nthrough the [examples](./examples) directory.\n\n> **Note**\n> Portal can also be used without a runtime via the [standalone version](./doc/guides/standalone.md).\n\n### API\n\nTry the [portal api](./src/portal/api.cljc) with the following commands:\n\n```clojure\n;; for node and jvm\n(require '[portal.api :as p])\n\n;; for web\n;; NOTE: you might need to enable popups for the portal ui to work in the\n;; browser.\n(require '[portal.web :as p])\n\n\n(def p (p/open)) ; Open a new inspector\n\n;; or with an extension installed, do:\n(def p (p/open {:launcher :vs-code})) ; jvm / node only\n(def p (p/open {:launcher :intellij})) ; jvm / node only\n\n(add-tap #'p/submit) ; Add portal as a tap> target\n\n(tap> :hello) ; Start tapping out values\n\n(p/clear) ; Clear all values\n\n(tap> :world) ; Tap out more values\n\n(prn @p) ; bring selected value back into repl\n\n(remove-tap #'p/submit) ; Remove portal from tap> targetset\n\n(p/close) ; Close the inspector when done\n\n(p/docs) ; View docs locally via Portal - jvm / node only\n```\n\n> **Warning**\n> Portal will keep objects from being garbage collected until they are cleared\n> from the UI.\n\n### Options\n\nOptions for `portal.api/open`:\n\n| Option | Description | Default | Spec |\n|-----------------|---------------------------------------------|---------------------|-----------------------------------------------------------------------------|\n| `:window-title` | Custom window title for UI | \"portal\" | string? |\n| `:theme` | Default theme for UI | :portal.colors/nord | |\n| `:value` | Root value of UI | (atom (list)) | |\n| `:app` | Launch UI in Chrome app window | true | boolean? |\n| `:launcher` | Launch UI using this editor | | #{[:vs-code][vs-code-docs] [:intellij][intellij-docs] [:emacs][emacs-docs]} |\n| `:editor` | Enable editor commands, but use separate UI | | #{[:vs-code][vs-code-docs] [:intellij][intellij-docs] [:emacs][emacs-docs]} |\n| `:port` | Http server port for UI | 0 | int? |\n| `:host` | Http server host for UI | \"localhost\" | string? |\n\n\nFor more documentation, take a look through the [docs][docs].\n\n[cljdoc]: https://cljdoc.org/d/djblue/portal/CURRENT\n[cljdoc-badge]: https://cljdoc.org/badge/djblue/portal\n[clojars]: https://clojars.org/djblue/portal\n[clojars-badge]: https://img.shields.io/clojars/v/djblue/portal?color=380036\n[vscode]: https://marketplace.visualstudio.com/items?itemName=djblue.portal\n[vscode-badge]: https://img.shields.io/visual-studio-marketplace/v/djblue.portal?label=vs-code&color=007ACC&logo=vs\n[intellij]: https://plugins.jetbrains.com/plugin/18467-portal\n[intellij-badge]: https://img.shields.io/jetbrains/plugin/v/18467?label=intellij\n\n[clojurians]: https://clojurians.slack.com/channels/portal\n[clojurians-badge]: https://img.shields.io/badge/slack-clojurians%20%23portal-4A154B?color=63B132\n\n[live-demo]: https://www.youtube.com/watch?v=Tj-iyDo3bq0\n[london-clojurians]: https://www.youtube.com/channel/UC-pYfofTyvVDMwM4ttfFGqw\n[docs]: https://cljdoc.org/d/djblue/portal/0.57.3/doc/ui-concepts\n[ui-concepts]: https://cljdoc.org/d/djblue/portal/0.57.3/doc/ui-concepts\n\n[vs-code-docs]: ./doc/editors/vs-code.md\n[intellij-docs]: ./doc/editors/intellij.md\n[emacs-docs]: ./doc/editors/emacs.md#xwidget-webkit-embed\n\n[clojure-clr]: https://github.com/clojure/clojure-clr\n"]]]}] ["code" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/code]] nil nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/code "(+ 1 2 3)"]]]}] ["pr-str" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/pr-str]] nil nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/pr-str ^{:line 105, :column 17} (+ 1 2 3)]]]}] ["json" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/json]] [:p "Parse a string as JSON. Will render error if parsing fails."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/json "{\"hello\": 123}"] ^{:key 1} [:portal.viewer/json "{]"]]]}] ["jwt" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/jwt]] [:p "Parse a string as a JWT. Will render error if parsing fails."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/jwt "eyJhbGciOiJIUzI1NiJ9.eyJuYW1lIjoiSm9lIENvZGVyIn0.5dlp7GmziL2QS06sZgK4mtaqv0_xX4oFUuTDh1zHK4U"]]]}] ["edn" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/edn]] [:p "Parse a string as EDN. Will render error if parsing fails."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/edn "^{:portal.viewer/default :portal.viewer/tree} {:hello 123}"] ^{:key 1} [:portal.viewer/edn "{]"]]]}] ["transit" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/transit]] [:p "Parse a string as transit. Will render error if parsing fails."] nil nil]}] ["csv" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/csv]] [:p "Parse a string as a CSV and use the table viewer by default."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/csv "a,b,c\n1,2,3\n4,5,6"]]]}] ["diff" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/diff]] [:p "Diff a collection of values successively starting with the first two."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::diffable (s/coll-of any? :min-count 2))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/diff [#:examples.data{:removed "value", :same-key "same-value", :change-type #{1 2}, :deep-change {:a 0}, :set #{0 1 2}, :vector [:examples.data/a :examples.data/removed :examples.data/b], :different-value :examples.data/old-key} #:examples.data{:added "value", :same-key "same-value", :change-type {:a :b, :c :d}, :deep-change {:a 1}, :set #{1 3 2}, :vector [:examples.data/a :examples.data/added :examples.data/b], :different-value :examples.data/new-key}]]]]}] ["diff-text" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/diff-text]] [:p "Diff two strings."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::diff-text (s/cat :a string? :b string?))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/diff-text ^#:portal.viewer{:default :portal.viewer/diff-text} ["#:examples.data{:removed \"value\",\n :same-key \"same-value\",\n :change-type #{1 2},\n :deep-change {:a 0},\n :set #{0 1 2},\n :vector\n [:examples.data/a\n :examples.data/removed\n :examples.data/b],\n :different-value :examples.data/old-key}\n" "#:examples.data{:added \"value\",\n :same-key \"same-value\",\n :change-type {:a :b, :c :d},\n :deep-change {:a 1},\n :set #{1 3 2},\n :vector\n [:examples.data/a\n :examples.data/added\n :examples.data/b],\n :different-value :examples.data/new-key}\n"]]]]}] ["markdown" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/markdown]] [:p "Parse string as markdown and view as html."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/markdown "# portal\n\nA clojure tool to navigate through your data.\n\n[![cljdoc][cljdoc-badge]][cljdoc]\n[![Clojars Project][clojars-badge]][clojars]\n[![VS Code Extension][vscode-badge]][vscode]\n[![Version][intellij-badge]][intellij]\n[![Get help on Slack][clojurians-badge]][clojurians]\n\n\n\n\n\n \n \n \n\n\n\nThe portal UI can be used to inspect values of various shapes and sizes. The UX\nwill probably evolve over time and user feedback is welcome!\n\nFor an in-depth explanation of the UI, you can jump to the [UI][ui-concepts]\ndocs.\n\n## Demo\n\nTo get an overview of the Portal UI and workflow, checkout the following\nrecording of a [live demo][live-demo] I gave for [London\nClojurians][london-clojurians].\n\n\n\"London\n\n\nMore video presentations on Portal can be found [here](./doc/videos.md).\n\n## Usage\n\nTo start a repl with portal, run the **clojure >= 1.10.0** cli with:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}}}'\n```\n\nor for a **web** **clojurescript >= 1.10.773** repl, do:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}\n org.clojure/clojurescript {:mvn/version \"1.10.844\"}}}' \\\n -m cljs.main\n```\n\nor for a **node** **clojurescript >= 1.10.773** repl, do:\n\n```bash\nclj -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}\n org.clojure/clojurescript {:mvn/version \"1.10.844\"}}}' \\\n -m cljs.main -re node\n```\n\nor for a **babashka >=0.2.4** repl, do:\n\n```bash\nbb -Sdeps '{:deps {djblue/portal {:mvn/version \"0.57.3\"}}}'\n```\n\nor for a lein `project.clj`, add:\n\n```clojure\n{:profiles {:dev {:dependencies [[djblue/portal \"0.57.3\"]]}}}\n```\n\nor as a global profile, add to `~/.lein/profiles.clj`:\n\n```clojure\n{:portal {:dependencies [[djblue/portal \"0.57.3\"]]}}\n```\n\n> **Note**\n> If you add Portal to a profile other than `:dev`, when starting a REPL\n> start it with `with-profiles +portal`. The `+` is important.\n\nor for [**Clojure CLR**][clojure-clr], checkout this [example project](./examples/clr),\n\nor for examples on how to integrate portal into an existing project, look\nthrough the [examples](./examples) directory.\n\n> **Note**\n> Portal can also be used without a runtime via the [standalone version](./doc/guides/standalone.md).\n\n### API\n\nTry the [portal api](./src/portal/api.cljc) with the following commands:\n\n```clojure\n;; for node and jvm\n(require '[portal.api :as p])\n\n;; for web\n;; NOTE: you might need to enable popups for the portal ui to work in the\n;; browser.\n(require '[portal.web :as p])\n\n\n(def p (p/open)) ; Open a new inspector\n\n;; or with an extension installed, do:\n(def p (p/open {:launcher :vs-code})) ; jvm / node only\n(def p (p/open {:launcher :intellij})) ; jvm / node only\n\n(add-tap #'p/submit) ; Add portal as a tap> target\n\n(tap> :hello) ; Start tapping out values\n\n(p/clear) ; Clear all values\n\n(tap> :world) ; Tap out more values\n\n(prn @p) ; bring selected value back into repl\n\n(remove-tap #'p/submit) ; Remove portal from tap> targetset\n\n(p/close) ; Close the inspector when done\n\n(p/docs) ; View docs locally via Portal - jvm / node only\n```\n\n> **Warning**\n> Portal will keep objects from being garbage collected until they are cleared\n> from the UI.\n\n### Options\n\nOptions for `portal.api/open`:\n\n| Option | Description | Default | Spec |\n|-----------------|---------------------------------------------|---------------------|-----------------------------------------------------------------------------|\n| `:window-title` | Custom window title for UI | \"portal\" | string? |\n| `:theme` | Default theme for UI | :portal.colors/nord | |\n| `:value` | Root value of UI | (atom (list)) | |\n| `:app` | Launch UI in Chrome app window | true | boolean? |\n| `:launcher` | Launch UI using this editor | | #{[:vs-code][vs-code-docs] [:intellij][intellij-docs] [:emacs][emacs-docs]} |\n| `:editor` | Enable editor commands, but use separate UI | | #{[:vs-code][vs-code-docs] [:intellij][intellij-docs] [:emacs][emacs-docs]} |\n| `:port` | Http server port for UI | 0 | int? |\n| `:host` | Http server host for UI | \"localhost\" | string? |\n\n\nFor more documentation, take a look through the [docs][docs].\n\n[cljdoc]: https://cljdoc.org/d/djblue/portal/CURRENT\n[cljdoc-badge]: https://cljdoc.org/badge/djblue/portal\n[clojars]: https://clojars.org/djblue/portal\n[clojars-badge]: https://img.shields.io/clojars/v/djblue/portal?color=380036\n[vscode]: https://marketplace.visualstudio.com/items?itemName=djblue.portal\n[vscode-badge]: https://img.shields.io/visual-studio-marketplace/v/djblue.portal?label=vs-code&color=007ACC&logo=vs\n[intellij]: https://plugins.jetbrains.com/plugin/18467-portal\n[intellij-badge]: https://img.shields.io/jetbrains/plugin/v/18467?label=intellij\n\n[clojurians]: https://clojurians.slack.com/channels/portal\n[clojurians-badge]: https://img.shields.io/badge/slack-clojurians%20%23portal-4A154B?color=63B132\n\n[live-demo]: https://www.youtube.com/watch?v=Tj-iyDo3bq0\n[london-clojurians]: https://www.youtube.com/channel/UC-pYfofTyvVDMwM4ttfFGqw\n[docs]: https://cljdoc.org/d/djblue/portal/0.57.3/doc/ui-concepts\n[ui-concepts]: https://cljdoc.org/d/djblue/portal/0.57.3/doc/ui-concepts\n\n[vs-code-docs]: ./doc/editors/vs-code.md\n[intellij-docs]: ./doc/editors/intellij.md\n[emacs-docs]: ./doc/editors/emacs.md#xwidget-webkit-embed\n\n[clojure-clr]: https://github.com/clojure/clojure-clr\n"]]]}] ["hiccup" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/hiccup]] [:p "Render a hiccup value as html via reagent."] nil [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:<> [:h1 "Hello, I'm hiccup"] [:a {:href "https://github.com/djblue/portal"} "djblue/portal"] [:portal.viewer/inspector {:hello :world}]]]]]}] ["date-time" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/date-time]] nil [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::date-time\n (s/or :inst inst?\n :unix number?\n :iso-8601 string?))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/date-time #inst "2024-09-25T04:32:18.713-00:00"] ^{:key 1} [:portal.viewer/date-time #inst "2022-04-23T22:24:46.000-00:00"] ^{:key 2} [:portal.viewer/date-time #inst "2021-07-27T13:38:51.000-00:00"] ^{:key 3} [:portal.viewer/date-time #inst "2020-06-03T01:43:08.000-00:00"] ^{:key 4} [:portal.viewer/date-time #inst "2019-08-09T12:51:42.000-00:00"] ^{:key 5} [:portal.viewer/date-time #inst "2011-06-02T23:45:57.000-00:00"] ^{:key 6} [:portal.viewer/date-time #inst "2009-02-03T06:25:17.000-00:00"] ^{:key 7} [:portal.viewer/date-time #inst "2006-03-24T14:49:31.000-00:00"]]]}] ["relative-time" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/relative-time]] [:p "View value relative to the current time."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::relative-time\n (s/or :inst inst?\n :unix number?\n :iso-8601 string?))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/relative-time #inst "2024-09-25T04:32:18.713-00:00"] ^{:key 1} [:portal.viewer/relative-time #inst "2022-04-23T22:24:46.000-00:00"] ^{:key 2} [:portal.viewer/relative-time #inst "2021-07-27T13:38:51.000-00:00"] ^{:key 3} [:portal.viewer/relative-time #inst "2020-06-03T01:43:08.000-00:00"] ^{:key 4} [:portal.viewer/relative-time #inst "2019-08-09T12:51:42.000-00:00"] ^{:key 5} [:portal.viewer/relative-time #inst "2011-06-02T23:45:57.000-00:00"] ^{:key 6} [:portal.viewer/relative-time #inst "2009-02-03T06:25:17.000-00:00"] ^{:key 7} [:portal.viewer/relative-time #inst "2006-03-24T14:49:31.000-00:00"]]]}] ["source-location" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/source-location]] [:p "View a map as a source location, provides goto definition on click."] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::ns symbol?)\n(s/def ::column int?)\n(s/def ::line int?)\n(s/def ::file string?)\n\n(s/def ::source-location\n (s/keys :req-un [::line ::column]\n :opt-un [::ns ::file]))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/source-location {:file "clojure/core.clj", :line 75, :column 1, :ns clojure.core}] ^{:key 1} [:portal.viewer/source-location {:file "clojure/core.clj", :line 183, :column 1, :ns clojure.core}] ^{:key 2} [:portal.viewer/source-location {:file "clojure/java/io.clj", :line 418, :column 1, :ns clojure.java.io}] ^{:key 3} [:portal.viewer/source-location {:file "portal/api.cljc", :line 72, :column 1, :ns portal.api}] ^{:key 4} [:portal.viewer/source-location {:file "portal/api.cljc", :line 196, :column 1, :ns portal.api}]]]}] ["spec" {:hiccup [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h1 [:portal.viewer/inspector :portal.viewer/spec]] [:p "A viewer for data produced via clojure.spec.alpha/explain-data"] [:<> [:h2 "Spec"] [:pre {} [:code {:class "clojure"} "(s/def ::path vector?)\n(s/def ::pred any?)\n(s/def ::val any?)\n(s/def ::via vector?)\n(s/def ::in vector?)\n\n(s/def ::problem (s/keys :req-un [::path ::pred ::val ::via ::in]))\n\n(s/def :clojure.spec.alpha/problems (s/coll-of ::problem))\n(s/def :clojure.spec.alpha/spec any?)\n(s/def :clojure.spec.alpha/value any?)\n\n(s/def ::explain-data\n (s/keys :req [:clojure.spec.alpha/problems\n :clojure.spec.alpha/spec\n :clojure.spec.alpha/value]))\n"]]] [:div {:style {:gap 9, :max-width 896, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 "Examples"] ^{:key 0} [:portal.viewer/spec ^#:portal.viewer{:default :portal.viewer/spec} #:clojure.spec.alpha{:problems ^{:line 1103, :column 6} ({:path [:user/inst], :pred clojure.core/inst?, :val 1, :via [:user/coll :user/map :user/inst], :in [0 :user/inst]} {:path [:user/hello], :pred clojure.core/string?, :val :user/world, :via [:user/coll :user/map :user/hello], :in [0 :user/hello]} {:path [:user/test], :pred clojure.core/true?, :val nil, :via [:user/coll :user/map :user/test], :in [0 :user/test]}), :spec :user/coll, :value [#:user{:inst 1, :hello :user/world, :test nil, :set d}]}]]]}]) ["Commands" {:file "doc/ui/commands.md", :markdown "# Commands\n\n![portal command palette](https://user-images.githubusercontent.com/1986211/165007466-005c39ee-d4d2-4599-a58e-ad03445b22ec.png)\n\nThe bottom-right yellow button will open the command palette. Commands can have\na `:predicate` function like viewers, so only relevant commands will be visible\nwhich is based on the currently selected value. They will be sorted\nalphabetically by name and can quickly be filtered. The `(ctrl | ⌘) + shift +\np` or `ctrl + j` shortcuts can also be used to open the command palette.\n\nThe filter string is split by white space and all words must appear in a name to\nbe considered a match.\n\nTo register your own command, use the `portal.api/register!` function. For example:\n\n``` clojure\n(portal.api/register! #'identity)\n```\n\nWhen multiple values are selected, commands will be applied as follows:\n\n``` clojure\n(apply f [first-selected second-selected ...])\n```\n\n**NOTES:**\n\n- A very useful command is `portal.ui.commands/copy` which will copy the\n currently selected value as an edn string to the clipboard.\n- [`lambdaisland.deep-diff2/diff`](https://github.com/lambdaisland/deep-diff2#use)\n is a useful command for diffing two selected values.\n- Commands manipulating the UI itself will live under the `portal.ui.commands`\n namespace.\n- The `cljs.core` namespace will be aliased as `clojure.core` when using a\n clojurescript runtime.\n"}] ["History" {:file "doc/ui/history.md", :markdown "# History\n\nThe top-left arrow buttons (`⭠` `⭢`) can be used to navigate through history.\nHistory is built up from commands pushing values into it. For example, anytime a\nvalue is double clicked,\n[`clojure.datafy/nav`](https://clojuredocs.org/clojure.datafy/nav) is applied to\nthat value and the result is pushed onto the history stack. All commands that\nproduce a new value will do the same.\n\nTo quickly navigation through history, checkout the following commands:\n\n- `portal.ui.commands/history-back`\n- `portal.ui.commands/history-forward`\n- `portal.ui.commands/history-first`\n- `portal.ui.commands/history-last`\n\n## Portal Atom\n\nIn addition to getting the selected value back in the repl, the portal atom also\nallows direct manipulation of portal [history](#history). For example:\n\n```clojure\n(def a (p/open))\n\n; push the value 0 into portal history\n(reset! a 0)\n\n@a ;=> 0 - get current value\n\n; inc the current value in portal\n(swap! a inc)\n\n@a ;=> 1 - get current value\n```\n"}] ["Shortcuts" {:file "doc/ui/shortcuts.md", :markdown "# Shortcuts\n\nTo run a command without having to open the command palette, you can use the\ncommands shortcut. They will be listed in the command palette next to the\ncommand. When multiple shortcuts are available, they are separated by a vertical\nbar.\n\n> **Note**\n> Shortcuts aren't currently user definable.\n"}] ["Filtering" {:file "doc/ui/filtering.md", :markdown "# Filtering\n\n![Screen Shot 2022-09-20 at 10 50 55 PM](https://user-images.githubusercontent.com/1986211/191424638-967fa72b-9932-4073-a5f4-b8050313a7d7.png)\n\nLike many concepts listed above, filtering is relative to the currently selected\nvalue. If no value is selected, filtering is disabled. When a collection is\nselected, the filter text will act to remove elements from that collection,\nsimilar to the command palette.\n\nSince multiple collections can be filtered at once, the input will change color\nand matched words in the collection and its children will be highlighted with\nthat color.\n\nTo remove the current filters, try the [`portal.ui.commands/clear-filter`](./commands.md)\ncommand.\n"}] ["Themes" {:file "doc/ui/themes.md", :markdown "# Themes\n\nPortal has a handful of themes built-in that will be shown below. In the case of\n[editor extensions](../editors), Portal will try match the theme of your editor.\n\nThe theme can be set via an option to `portal.api/open`:\n\n```clojure\n(p/open {:theme :portal.colors/nord})\n```\n\nAlso, you can quickly toggle the theme via the\n[`portal.ui.commands/set-theme`](./commands.md) command.\n\n## Screenshots\n\n### [`:portal.colors/nord`](https://www.nordtheme.com/) (default)\n\n![portal nord theme](https://user-images.githubusercontent.com/1986211/165007021-fb4acae1-0128-45cf-94cd-ce26b456d456.png)\n\n### [`:portal.colors/solarized-dark`](https://ethanschoonover.com/solarized/)\n\n![portal solarized-dark theme](https://user-images.githubusercontent.com/1986211/165007028-4b37889a-bae4-490f-91c8-508f1b297856.png)\n\n### [`:portal.colors/solarized-light`](https://ethanschoonover.com/solarized/)\n\n![portal solaized-light theme](https://user-images.githubusercontent.com/1986211/165007035-adb3b88c-f20f-4509-a64d-a0fd4b783f62.png)\n\n### `:portal.colors/material-ui`\n\n![portal material-ui theme](https://user-images.githubusercontent.com/1986211/165007045-6d2be1bb-2b39-40bc-b4b4-7d2d54cb2a74.png)\n\n### [`:portal.colors/zerodark`](https://github.com/NicolasPetton/zerodark-theme)\n\n![portal zerodark theme](https://user-images.githubusercontent.com/1986211/165007055-1b8a4b27-8e2d-4d67-b5eb-55fe06fcbc9b.png)\n\n### [`:portal.colors/gruvbox`](https://github.com/morhetz/gruvbox)\n\n![portal gruvbox theme](https://user-images.githubusercontent.com/1986211/165007060-d5618a30-685c-42d7-88bb-35bd1b77a15a.png)\n"}]] ["Remote API" {:file "doc/remote-api.md", :markdown "# Remote API\n\nIf running the Portal runtime in process is not supported or not desired, values\ncan be sent over the wire to a remote instance.\n\nThe following clients are currently implemented:\n\n- `portal.client.jvm`\n - clj on jvm\n - clj on [babashka](https://babashka.org/)\n- `portal.client.node`\n - cljs on [nbb](https://github.com/babashka/nbb)\n - cljs on [lumo](https://github.com/anmonteiro/lumo)\n- `portal.client.web`\n - cljs running in the browser\n- `portal.client.planck`\n - cljs running in [planck](https://planck-repl.org/)\n\n## Usage\n\nIn the process hosting the remote api, do:\n\n``` clojure\n(require '[portal.api :as p])\n(p/open {:port 5678})\n```\n\nIn the client process, do:\n\n``` clojure\n(require '[portal.client.jvm :as p])\n;; (require '[portal.client.node :as p])\n;; (require '[portal.client.web :as p])\n\n(def submit (partial p/submit {:port 5678})) ;; :encoding :edn is the default\n;; (def submit (partial p/submit {:port 5678 :encoding :json}))\n;; (def submit (partial p/submit {:port 5678 :encoding :transit}))\n\n(add-tap #'submit)\n```\n\n> **Note**\n> `tap>`'d values must be serializable as edn, transit or json.\n\n## Tips\n\nPlatform specific tips.\n\n### Planck\n\nSince Planck can load libraries from a jar, you can use the `clj` tool to\ngenerate the class path and pass it in via the `--classpath` cli argument.\n\nTo start a Planck with Portal REPL, do:\n\n```bash\nclj -Spath -Sdeps '{:deps {djblue/portal {:mvn/version \"LATEST\"}}}' > .classpath\nplanck -c `cat .classpath`\n```\n\nThen at the REPL, do:\n\n```clojure\n(require '[portal.client.planck :as p])\n(def submit (partial p/submit {:port 5678}))\n(add-tap #'submit)\n(tap> :hello-from-planck)\n```"}] ["Guides" ["Node Babashka" {:file "examples/nbb/README.md", :markdown "# nbb + portal\n\nTo start using portal with [nbb][nbb], you just need to include the following in\nyour `nbb.edn`:\n\n```clojure\n;; nbb.edn\n{:paths [\"dev\"]\n :deps {djblue/portal {:mvn/version \"0.55.1\"}}}\n```\n\nThen after connecting to a REPL, you should be able to follow the [API guide][api].\n\n## Auto Start\n\nAdditionally, you can automatically start portal and nrepl with the following\ncode:\n\n```clojure\n;; dev/start.cljs\n(ns start\n (:require [nbb.nrepl-server :as n]\n [nbb.repl :as r]\n [portal.api :as p]))\n\n(defn async-submit [value]\n (if-not (instance? js/Promise value)\n (p/submit value)\n (-> value\n (.then p/submit)\n (.catch p/submit))))\n\n(defn -main []\n (add-tap #'async-submit)\n (n/start-server! {:port 1337})\n (p/open {:launcher :vs-code})\n (r/repl))\n```\n\nWhich can then automatically be wired into your package.json:\n\n```javascript\n// package.json\n{\n \"scripts\": {\n \"start\": \"nbb -m start\"\n },\n \"dependencies\": {\n \"nbb\": \"^1.2.187\"\n }\n}\n```\n\nAnd then start everything via npm:\n\n```bash\nnpm start\n```\n\n## Remote Client\n\nIf you would like to send data to another remote Portal, you can use the\n`portal.client.node` client to leverage the [Remote API][remote].\n\n[nbb]: https://github.com/babashka/nbb/\n[api]: ../../README.md#api\n[remote]: ../../doc/remote-api.md#usage"}] ["Exceptions" {:file "doc/guides/exceptions.md", :markdown "# Exceptions\n\n![portal clojure exception viewer](https://user-images.githubusercontent.com/1986211/165203608-628715bc-7ed4-4e48-9002-08048137abb6.png)\n\nRaw exception objects show up like any other object in Portal, like it would be\nprinted at the REPL.\n\nHowever, Portal has a special viewer for exceptions and the good news is that\nit's based on the\n[`clojure.datafy/datafy`](https://clojuredocs.org/clojure.datafy/datafy) of\nexceptions in Clojure.\n\nTo get things wired up so exceptions are auto data-fied before being sent to\nPortal, try the following:\n\n\n```clojure\n(ns user\n (:require [portal.api :as p]\n [clojure.datafy :as d]))\n\n(defn error->data [ex]\n (assoc (d/datafy ex) :runtime :clj))\n\n(defn submit [value]\n (p/submit\n (if-not (instance? Exception value)\n value\n (error->data value))))\n\n(add-tap #'submit)\n\n(tap> (ex-info \"My Error!!!\" {:my :data}))\n```\n\nUnfortunately, `js/Error` isn't data-fied in ClojureScript, however, you can\nprovide your own mapping between errors and data.\n\nHere is one such mapping and submit function:\n\n```clojure\n(defn error->data [ex]\n (merge\n (when-let [data (.-data ex)]\n {:data data})\n {:runtime :cljs\n :cause (.-message ex)\n :via [{:type (symbol (.-name (type ex)))\n :message (.-message ex)}]\n :stack (.-stack ex)}))\n\n(defn submit [value]\n (p/submit\n (if-not (instance? js/Error value)\n value\n (error->data value))))\n\n(add-tap #'submit)\n\n(tap> (ex-info \"My Error!!!\" {:my :data}))\n```\n\nAnd with that you get the following:\n\n![portal clojurescript exception viewer](https://user-images.githubusercontent.com/1986211/165203690-317d148b-962f-4579-a627-c187b7ae3a3e.png)\n\n## Tip\n\nIf you would like to funnel all uncaught errors from a web based ClojureScript\napp, consider adding the following handlers:\n\n```clojure\n(defn- error-handler [event]\n (tap> (or (.-error event) (.-reason event))))\n\n(.addEventListener js/window \"error\" error-handler)\n(.addEventListener js/window \"unhandledrejection\" error-handler)\n```\n\nSimilarly for node, the following should work:\n\n```clojure\n(.on js/process \"unhandledRejection\" tap>)\n(.on js/process \"uncaughtException\" tap>)\n```\n\nSimilarly for the JVM, the following should work:\n\n```clojure\n(Thread/setDefaultUncaughtExceptionHandler\n (reify Thread$UncaughtExceptionHandler\n (uncaughtException [_this t e]\n (tap> e))))\n```\n\nHowever, there is an issues with futures which is explained in this\n[article](https://stuartsierra.com/2015/05/27/clojure-uncaught-exceptions).\n"}] ["Logging" ["Portal Console" {:file "doc/guides/portal-console.md", :markdown "# portal.console\n\nA major advantage of [`tap>`](https://clojuredocs.org/clojure.core/tap%3E) over\n[`println`](https://clojuredocs.org/clojure.core/println) is that it allows you\nto keep all values as data. However, as with `println`, if you `tap>` too many\nvalues, it is very easy to lose track where those values came from. Luckily,\nthere is an easy fix, clojure macros.\n\nThe `portal.console` namespace has a handful of macros that will not only `tap>`\nvalues, but capture the context in which those values are tapped. This includes\nsource code, time and runtime information. Additionally, the data is formatted\nto work with the `:portal.viewer/log` viewer.\n\n## Example\n\n```clojure\n;; user.clj\n(require '[portal.console :as log])\n\n(log/trace ::trace)\n(log/debug ::debug)\n(log/info ::info)\n(log/warn ::warn)\n(log/error ::error)\n```\n\nWill produce the following:\n\n![logs](https://user-images.githubusercontent.com/1986211/196558924-d07fa896-2550-427e-b437-9a6f83fba1fb.png)\n\n> **Note**\n> The data produced by `portal.console` is compatible with the\n> `portal.runtime.jvm.editor/goto-definition` command which can automatically\n> open the file location via the `:launcher` / `:editor` option passed to\n> `portal.api/open`.\n\n## Spec\n\nIf you could like the generate data for the log viewer in another context, the\nfollowing specs will be useful:\n\n```clojure\n(def levels\n [:trace :debug :info :warn :error :fatal :report])\n\n(s/def ::level (set levels))\n\n(s/def ::ns symbol?)\n(s/def ::time inst?)\n\n(s/def ::column int?)\n(s/def ::line int?)\n\n(s/def ::log\n (s/keys :req-un\n [::level\n ::ns\n ::time\n ::line\n ::column]))\n```\n"}] ["Timbre" {:file "examples/timbre/README.md", :markdown "# Timbre Setup Guide\n\nIf you are a [com.taoensso/timbre](https://github.com/ptaoussanis/timbre) user,\nthis guide will help you setup a portal instance dedicated to your timbre logs.\n\n\"Timbre\n\n## Setup\n\nTo get started, you need the following namespaces:\n\n``` clojure\n(ns user\n (:require [clojure.datafy :as d]\n [clojure.instant :as i]\n [portal.api :as p]\n [taoensso.timbre :as log]))\n```\n\nNext, you need to map timbre log data to something that can be used by the\nportal log viewer. Your timbre logs might have more info, so feel free to\ncustomize the mapping to include more data.\n\n``` clojure\n(defn log->portal [{:keys [level ?err msg_ timestamp_ ?ns-str ?file context ?line]}]\n (merge\n (when ?err\n {:error (d/datafy ?err)})\n (when-let [ts (force timestamp_)]\n {:time (i/read-instant-date ts)})\n {:level level\n :ns (symbol (or ?ns-str ?file \"?\"))\n :line (or ?line 1)\n :column 1\n :result (force msg_)\n :runtime :clj}\n context))\n```\n\nNext, you need to setup an atom to store the rolling set of logs and wire it\ninto timbre:\n\n``` clojure\n(defonce logs (atom '()))\n\n(defn log\n \"Accumulate a rolling log of 100 entries.\"\n [log]\n (swap! logs\n (fn [logs]\n (take 100 (conj logs (log->portal log))))))\n\n(defn setup []\n (reset! logs '())\n (log/merge-config!\n {:appenders\n {:memory {:enabled? true :fn log}}}))\n```\n\nFinally, we can open a dedicated instance of portal which will receive the logs:\n\n```clojure\n(defn open []\n (p/open {:window-title \"Logs Viewer\" :value logs}))\n```\n\nPutting everything together, you can now do the following at the REPL:\n\n``` clojure\n(setup)\n(open)\n\n(log/info \"my info log\")\n(log/error (ex-info \"my exception\" {:hello :world}) \"my error log\")\n```\n\n## ClojureScript Logs\n\nAlso, if you are using timbre for cljs logs, you can add the following context\nto differentiate clj from cljs logs:\n\n``` clojure\n(log/with-context+\n {:runtime :cljs}\n (log/info \"my cljs log\"))\n```\n\n\"Timbre\n"}] ["μ/log" {:file "examples/mulog/README.md", :markdown "# μ/log Setup Guide\n\n[μ/log](https://github.com/brunobonacci/mulog) logs events as data; Portal\nnavigates data. Let's have them work together. 🤝\n\n![](./screenshot.png)\n\nUsing Portal to consume system logs is meant for **development** (and perhaps test)\n**environments only**.\n\nThe μ/log publisher defined below can be used together with other publishers,\nby configuring a [μ/log multi publisher](https://github.com/BrunoBonacci/mulog/blob/master/doc/publishers/multi-publisher.md).\n\n## Basic Setup\n\nLet's define a custom μ/log publisher that publishes log events with [`tap>`](https://clojuredocs.org/clojure.core/tap%3E):\n\n```clojure\n(ns user\n (:require [com.brunobonacci.mulog :as mu]\n [com.brunobonacci.mulog.buffer :as rb]\n [portal.api :as p]))\n\n(deftype TapPublisher [buffer transform]\n com.brunobonacci.mulog.publisher.PPublisher\n (agent-buffer [_] buffer)\n\n (publish-delay [_] 200)\n\n (publish [_ buffer]\n (doseq [item (transform (map second (rb/items buffer)))]\n (tap> item))\n (rb/clear buffer)))\n\n(defn tap-publisher\n [{:keys [transform] :as _config}]\n (TapPublisher. (rb/agent-buffer 10000) (or transform identity)))\n```\n\nNext we start μ/log with our custom publisher:\n\n```clojure\n(def pub (mu/start-publisher!\n {:type :custom, :fqn-function \"user/tap-publisher\"}))\n```\n\nWhat about Portal? We just hook it up as a tap, as we normally do, and the\nμ/logs will start flowing in.\n\n```clojure\n(def p (p/open))\n(add-tap #'p/submit)\n\n(mu/log ::my-event ::ns (ns-publics *ns*))\n```\n\nFind a working example of this setup [here](https://github.com/djblue/portal/tree/master/examples/mulog).\n"}]] ["Tufte Profiling" {:file "examples/tufte/README.md", :markdown "# Tufte Setup Guide\n\nIf you are a [ptaoussanis/tufte](https://github.com/ptaoussanis/tufte) user,\nthis guide will help you get profiling data into Portal.\n\n![Screenshot 2023-07-25 at 8 13 10 PM](https://github.com/djblue/portal/assets/1986211/d9532ca7-af28-4e33-a592-8704d589c371)\n\nThe main advantages of using Portal are that your profiling data is always\navailable as data and the `:loc` data can be used to jump directly to the source\nlocation using the `goto-definition` [command][commands].\n\n### Setup\n\nTo get started, you need the following namespaces:\n\n``` clojure\n(ns user\n (:require [portal.api :as p]\n [taoensso.tufte :as tufte :refer (p profiled profile)]))\n```\n\nNext, you need to map tufte pstats data to something that can be used by the\nPortal table viewer. Below is one such mapping:\n\n```clojure\n(def columns\n (-> [:min :p25 :p50 :p75 :p90 :p95 :p99 :max :mean :mad :sum]\n (zipmap (repeat :portal.viewer/duration-ns))\n (assoc :loc :portal.viewer/source-location)))\n\n(defn format-data [stats]\n (-> stats\n (update-in [:loc :ns] symbol)\n (vary-meta update :portal.viewer/for merge columns)))\n\n(defn format-pstats [pstats]\n (-> @pstats\n (:stats)\n (update-vals format-data)\n (with-meta\n {:portal.viewer/default :portal.viewer/table\n :portal.viewer/table\n {:columns [:n :min #_:p25 #_:p50 #_:p75 #_:p90 #_:p95 #_:p99 :max :mean #_:mad :sum :loc]}})))\n```\n\nWith the above mapping, you can plug into tufte via its handler mechanism:\n\n```clojure\n(defn add-tap-handler!\n \"Adds a simple handler that logs `profile` stats output with `tap>`.\"\n [{:keys [ns-pattern handler-id]\n :or {ns-pattern \"*\"\n handler-id :basic-tap}}]\n (tufte/add-handler!\n handler-id ns-pattern\n (fn [{:keys [?id ?data pstats]}]\n (tap> (vary-meta\n (format-pstats pstats)\n merge\n (cond-> {}\n ?id (assoc :id ?id)\n ?data (assoc :data ?data)))))))\n```\n\n### 10-second example\n\nBorrowing from the [10 second example in the tufte docs][tufte-example], we have\nthe equivalent:\n\n```clojure\n;; Open the Portal UI to see the output:\n(require '[portal.api :refer (open submit)])\n(add-tap submit)\n(open)\n\n(require '[taoensso.tufte :as tufte :refer (defnp p profiled profile)])\n\n;; We'll request to send `profile` stats to `tap>`:\n(add-tap-handler! {})\n\n;;; Let's define a couple dummy fns to simulate doing some expensive work\n(defn get-x [] (Thread/sleep 500) \"x val\")\n(defn get-y [] (Thread/sleep (rand-int 1000)) \"y val\")\n\n;; How do these fns perform? Let's check:\n\n(profile ; Profile any `p` forms called during body execution\n {} ; Profiling options; we'll use the defaults for now\n (dotimes [_ 5]\n (p :get-x (get-x))\n (p :get-y (get-y))))\n```\n\n> **Note**\n> goto-definition will only work if `taoensso.tufte/p` calls are eval'd\n> via a repl that properly provide file/line/column info. This includes nrepl\n> or using load-file to load your code.\n\n[tufte-example]: https://github.com/ptaoussanis/tufte#10-second-example\n[commands]: ../../doc/ui/commands.md\n"}] ["JavaScript Promises" {:file "doc/guides/promises.md", :markdown "# JavaScript Promises\n\nIn a JavaScript context, you often need to deal with asynchronicity and this\noften involves promises. However, when working with promises in ClojureScript,\ngetting at the value of a promise can be a bit tedious. I often see the\nfollowing pattern for `println` debugging.\n\n```clojure\n(defn async-fn []\n (.resolve js/Promise :hello))\n\n(.then (async-fn) println)\n```\n\nI'm not a huge fan of this pattern, and worse yet, if you forget to wrap the\nvalue, you get `#object [Promise [object Promise]]` which isn't very helpful.\n\nThankfully, in ClojureScript you have\n[`tap>`](https://clojuredocs.org/clojure.core/tap%3E) which can help you with\nthis issue.\n\nWith portal, you would typically do something like:\n\n```clojure\n(require '[portal.api :as p])\n(add-tap #'p/submit)\n\n(tap> (async-fn)) ;; #object [Promise [object Promise]]\n```\n\nBut this has the same issue as before when you printed the promise value. To\nimprove `tap>` usage around promises, you simply need to provide a specialized\ntap target, like the following:\n\n```clojure\n(require '[portal.api :as p])\n\n(defn async-submit [value]\n (if-not (instance? js/Promise value)\n (p/submit value)\n (-> value\n (.then p/submit)\n (.catch p/submit))))\n\n(add-tap #'async-submit)\n\n(tap> (async-fn)) ;; :hello\n```\n"}] ["Custom Tap List" {:file "doc/guides/custom-taps.md", :markdown "# Custom Tap List\n\nIf the default behavior of Portal's tap list isn't exactly what you need, you\ncan implement your own with any behavior your require.\n\n## Constraints\n\nFor this example, let's assume you have the following constraints:\n\n- The tap list should be displayed as a table\n- Every tapped value should have an `:id` and a `:time`\n- The order of columns should be `:id`, `:value`, and `:time`\n- The tap list should grow at the bottom (chronological)\n- The tap list should not exceed 25 items, dropping elements from the top\n\n## Implementation\n\nFirstly, lets specify metadata to tell Portal how to render the tap-list:\n\n```clojure\n(def viewer\n {:portal.viewer/default :portal.viewer/table\n :portal.viewer/table {:columns [:id :value :time]}})\n\n(def tap-list (atom (with-meta [] viewer)))\n```\n\nSecondly, setup a custom submit function to implement the stated constraints:\n\n```clojure\n(def ids (atom 0))\n\n(defn submit [value]\n (let [id (swap! ids inc)]\n (swap! tap-list\n (fn [taps]\n (conj\n (if (< (count taps) 25)\n taps\n (subvec taps 1))\n {:id id\n :value value\n :time (java.util.Date.)})))))\n```\n\nFinally, you can wire all this up into Portal with the following:\n\n```clojure\n(add-tap #'submit)\n\n(require '[portal.api :as p])\n(p/open {:value tap-list})\n\n(tap> :hello)\n```\n\nWhich looks something like:\n\n![Table Tap List](https://user-images.githubusercontent.com/1986211/164960811-b7ebfa17-05ab-4b6b-be5f-f3b9b0f742d7.png)\n"}] ["Default Viewer" {:file "doc/guides/default-viewer.md", :markdown "# Default Viewer\n\nIf you would like to add some logic around which viewer to use by default in\nPortal, the easiest way is to provide a `:portal.viewer/default` key as part of\na value's metadata. Unfortunately, not all values support metadata, such as\nstrings. They way around this limitation is to wrap the value in a container\nthat does support metadata, such as vectors. However, instead of managing this\nmanually, we can leverage the `portal.viewer` ns to help provide default viewers\nfor values.\n\nHere is on such default viewer selector:\n\n```clojure\n(require '[portal.viewer :as v])\n\n(def defaults\n {string? v/text\n bytes? v/bin})\n\n(defn- get-viewer-f [value]\n (or (some (fn [[predicate viewer]]\n (when (predicate value)\n viewer))\n defaults)\n v/tree))\n```\n\nWith a corresponding submit function:\n\n```clojure\n(require '[portal.api :as p])\n\n(defn submit [value]\n (let [f (get-viewer-f value)]\n (p/submit (f value))))\n\n(add-tap #'submit)\n```\n\nNow by tapping the following values you can see the default viewer selector in\naction:\n\n```clojure\n(tap> \"hello, world\")\n(tap> (byte-array [0 1 2 3]))\n(tap> (range 10))\n```\n"}] ["Test Runner" {:file "doc/guides/test-runner.md", :markdown "# Test Runner\n\nWith the addition of `:portal.viewer/test-report`, Portal can now render your\n`clojure.test` output!\n\nHowever, there is no automatic mechanism for delivering test report data\ndirectly to Portal, that integration is up to you.\n\n## Example Integration\n\nTo get started, let's assume you have the following tests:\n\n```clojure\n(ns user\n (:require [clojure.test :refer [deftest is] :as t]))\n\n(deftest hello-world\n (is (= 0 0))\n (is (= (name :hello) (name :world))))\n```\n\nThere are many ways to run clojure tests, but an easy way is via\n[clojure.test/run-tests](https://clojuredocs.org/clojure.test/run-tests), so\nlet's go with that.\n\n```clojure\n(defn run-test [ns]\n (let [report (atom [])]\n (tap> report)\n (with-redefs [t/do-report #(swap! report conj %)]\n (t/run-tests ns))))\n\n(run-test 'user)\n```\n\nThat's pretty much it. The key here is that you simply need to intercept values\npassed to [`clojure.test/do-report`](https://clojuredocs.org/clojure.test/do-report)\nand send them directly to Portal.\n\nWith the code above, you should get something like:\n\n![portal test runner](https://user-images.githubusercontent.com/1986211/165010389-96c610a4-7963-4343-863c-4a68fafdf40f.png)\n\nAlthough this example is trivial, the main advantage to getting test result out\nas data is particularly useful when dealing with large values in a test\nassertion.\n\n### Tip\n\nYou can [select](./ui/selection.md) two test output values and diff them via the\n[`lambdaisland.deep-diff2/diff` command](./ui/commands.md)\n\n![portal test runner diff](https://user-images.githubusercontent.com/1986211/165010558-d5a86019-9a8b-4259-b808-dc0746853586.png)\n"}] ["Git Dep" {:file "doc/guides/git-deps.md", :markdown "# Portal Git Dep\n\nTo use Portal as a [git dep](https://clojure.org/news/2018/01/05/git-deps), you\nshould add an alias like the following to your `deps.edn`:\n\n```clojure\n:aliases\n{:dev\n {:extra-deps\n {djblue/portal\n {:git/url \"https://github.com/djblue/portal.git\"\n :sha \"1645d580f7487657991ad112381104c133342faa\"}}}}\n```\n\nOr using the [newer format](https://clojure.org/guides/deps_and_cli#_using_git_libraries):\n\n```clojure\n:aliases\n{:dev\n {:extra-deps\n {io.github.djblue/portal\n {:git/tag \"0.25.0\" :git/sha \"1645d58\"}}}}\n```\n\nHowever, this will fail to resolve with the following error:\n\n```\nChecking out: https://github.com/djblue/portal.git at 1645d580f7487657991ad112381104c133342faa\nError building classpath. The following libs must be prepared before use: [io.github.djblue/portal]\n\n```\n\nTo use Portal from source, you need to perform a build step for the UI. The UI\nbuild assumes you have [node.js](https://nodejs.org/) available on your system.\n\nNow, to prepare Portal from source, use the following `clj` command:\n\n```bash\nclj -X:deps prep :aliases '[:dev]'\n```\n\nThat's it, you should be able to use Portal!\n"}] ["Shadow CLJS" {:file "doc/guides/shadow-cljs.md", :markdown "# Shadow CLJS\n\nFor [shadow-cljs](https://github.com/thheller/shadow-cljs) users, the easiest\nway to get portal setup is via a\n[preload](https://shadow-cljs.github.io/docs/UsersGuide.html#_preloads). It\nallows you to inject a namespace for instrumentation during development.\n\n> **Note**\n> This guide will focus on ClojureScript in the context of a web\n> browser, but shadow-cljs supports other JavaScript environments.\n\n## `portal.web` vs `portal.shadow.remote`\n\nThis first question you need to answer is, do you want Portal hosted by the web\npage itself or do you want to send values to a remote instance using the\n[remote-api](/doc/remote-api.md)?\n\nThe pros and cons of `portal.web` are:\n\n- ✅ Access to native browser JavaScript objects\n- ✅ Register [commands](/doc/ui/commands.md) in the browser JavaScript context\n- ❌ State is linked to the browser page, so everything is cleared on page reload\n- ❌ Can't be used within an [editor extension](/doc/editors/)\n\nThe pros and cons of `portal.shadow.remote` are:\n\n- ✅ Values are persisted across page refreshes\n- ✅ Can manipulate data in a runtime where you might have more powerful tools\n- ❌ Native objects are serialized via pretty-print so you tend to have less\n leverage\n\n\n> **Note**\n> You can run both types at the same time without any issues.\n\n## Setup\n\nWith that in mind, let's get started. In your `shadow-cljs.edn` file, you need\nto add the following bit of configuration:\n\n```clojure\n;; shadow-cljs.edn\n{:builds\n {:build-id\n {:target :browser\n ...\n :build-hooks [(portal.shadow.remote/hook)]\n :devtools {:preloads [portal.shadow.preload]}}}}\n```\n\nOr if you would like to pass options to `portal.api/start`:\n\n```clojure\n;; shadow-cljs.edn\n{:builds\n {:build-id\n {:target :browser\n ...\n :build-hooks [(portal.shadow.remote/hook {:port 1234})]\n :devtools {:preloads [portal.shadow.preload]}}}}\n```\n\nTo define a custom preload change the configured preload to your custom namespace.\n\n### Web Setup\n\nA basic setup with `portal.web` is as follows:\n\n```clojure\n(ns my-app.portal.setup\n (:require [portal.web :as p]))\n\n;; Allows options to be propagated across page reloads\n(p/set-defaults! {:theme :portal.colors/gruvbox})\n\n(add-tap p/submit)\n```\n\n> **Note**\n> To quickly open the Portal UI, you can use the `ctrl | cmd + shift +\n> o` shortcut from the parent page.\n\n### Remote Setup\n\nA basic setup with `portal.shadow.remote` is as follows:\n\n```clojure\n(ns my-app.portal.setup\n (:require [portal.shadow.remote :as p]))\n\n(add-tap p/submit)\n```\n\n### Custom Setup\n\nFor a more comprehensive setup, try the following which leverages both and some\nadditional bits from other guides:\n\n```clojure\n(ns my-app.portal.setup\n (:require [portal.shadow.remote :as r]\n [portal.web :as p]))\n\n(defn- submit [value]\n (p/submit value)\n (r/submit value))\n\n(defn- error->data [ex]\n (merge\n (when-let [data (.-data ex)]\n {:data data})\n {:runtime :portal\n :cause (.-message ex)\n :via [{:type (symbol (.-name (type ex)))\n :message (.-message ex)}]\n :stack (.-stack ex)}))\n\n(defn- async-submit [value]\n (cond\n (instance? js/Promise value)\n (-> value\n (.then async-submit)\n (.catch (fn [error]\n (async-submit error)\n (throw error))))\n\n (instance? js/Error value)\n (submit (error->data value))\n\n :else\n (submit value)))\n\n(add-tap async-submit)\n\n(defn- error-handler [event]\n (tap> (or (.-error event) (.-reason event))))\n\n(.addEventListener js/window \"error\" error-handler)\n(.addEventListener js/window \"unhandledrejection\" error-handler)\n```\n"}] ["nREPL" {:file "doc/guides/nrepl.md", :markdown "# nREPL\n\nIf you would like to send every REPL eval to Portal, you can use the\n`portal.nrepl/wrap-portal` nrepl middleware.\n\n> **Note**\n> You will also need to invoke `(add-tap portal.api/submit)` for eval\n> results to show up in portal.\n\nThe main advantage of using this middleware is that it can capture additional\ninformation about your REPL interaction, such as:\n\n- Source and file info\n- Runtime type (very handy for cljc files)\n- Timings\n- Test assertion output\n- Eval exceptions\n- Stdio\n\n![Screen Shot 2022-10-15 at 2 34 12 PM](https://user-images.githubusercontent.com/1986211/196008409-4804c548-6203-4c53-93ab-625c0104d1c8.png)\n\n> **Warning**\n> Portal will keep all evaluated objects from being garbage\n> collected until they are cleared from the UI. However, the nREPL middleware\n> will only submit values to Portal when the UI is open.\n\n## tools.deps\n\nIf you are starting nrepl from tools.deps, you can try the following:\n\n```clojure\n;; deps.edn\n{:aliases\n {:nrepl\n {:extra-deps\n {cider/cider-nrepl {:mvn/version \"0.28.5\"}\n djblue/portal {:mvn/version \"0.33.0\"}}\n :main-opts [\"-m\" \"nrepl.cmdline\"\n \"--middleware\"\n \"[cider.nrepl/cider-middleware,portal.nrepl/wrap-portal]\"]}}}\n```\n\n## shadow-cljs\n\nIf you are using shadow-cljs, you can add the middleware via the\n`shadow-cljs.edn` file:\n\n```clojure\n;; shadow-cljs.edn\n{:nrepl {:middleware [portal.nrepl/wrap-portal]}}\n```\n\n## leiningen\n\nIf you are starting nrepl via `lein repl`, you can try the following:\n\n```clojure\n(defproject app \"0.1.0-SNAPSHOT\"\n :dependencies [[djblue/portal \"0.33.0\"]]\n :repl-options {:nrepl-middleware [portal.nrepl/wrap-portal]})\n```\n\nOr via a dev profile:\n\n```clojure\n(defproject app \"0.1.0-SNAPSHOT\"\n :profiles\n {:dev {:source-paths [\"dev\"]\n :dependencies [[djblue/portal \"0.33.0\"]]\n :repl-options\n {:nrepl-middleware [portal.nrepl/wrap-portal]}}})\n```\n\n## Customization\n\nIf you would like to process eval results, you can do so with a custom tap\nhandler, such as the following:\n\n```clojure\n(require '[portal.api :as p])\n\n(defn submit [value]\n (if (-> value meta :portal.nrepl/eval)\n (let [{:keys [stdio report result]} value]\n (when stdio (p/submit stdio))\n (when report (p/submit report))\n (p/submit result))\n (p/submit value)))\n\n(add-tap submit)\n```\n\n> **Note**\n> An expression that results in `:portal.api/ignore` will not be tapped\n> by the `portal.nrepl` middleware.\n"}] ["Portal Standalone" {:file "doc/guides/standalone.md", :markdown "# Portal Standalone\n\n

\n \n \"Portal\n \n

\n\nTo use Portal without any particular runtime, try the\n[standalone](https://djblue.github.io/portal/) version of Portal. It can be\ninstalled as a [chrome pwa](https://support.google.com/chrome/answer/9658361)\nwhich will provide a dock launcher for easy access.\n\n

\n \n

\n\n## Paste Clipboard Data\n\nTo quickly paste some edn, json or transit into Portal, try the `ctrl | cmd + v`\npaste command. Upon pasting portal will prompt for the format type in order to\nparse the data.\n\n

\n \n

\n\n## Drag + Drop Files\n\nIf the data you want to view in Portal is in a file, it can be easily dragged\nand dropped over the UI.\n\n

\n \n

\n\n## Preloading Data\n\nTo open the UI with pre-loaded data, you can pass the `content-url` and\n`content-type` via query params. For example\n[this link](https://djblue.github.io/portal/?content-url=https://gist.githubusercontent.com/djblue/9a2cd250e061f62ce527b20648fd8256/raw/e7bd673df60b3c503306956b950bb9589ba480eb/data.clj&content-type=application/edn) pulls some edn data via a [GitHub Gist](https://gist.github.com/djblue/6ef5f3ddd0bc93e3ca34a7132be63d8f) with the `content-type=application/edn`, this can be very handy to share data.\n\nThe supported content-types:\n\n- `application/edn`\n- `application/json`\n- `application/transit+json`\n- `text/plain`\n\n## Share Command\n\nIf you want to automate the sharing of data from your runtime, you can create a\n[Portal command](../ui/commands.md) that automatically uploads and generates a\nsimilar link as above. One such command could look like:\n\n```clojure\n(ns portal.share\n (:require [clojure.pprint :as pp]\n [clojure.string :as str]\n [org.httpkit.client :as http]\n [portal.api :as p]\n [portal.runtime.json :as json]))\n​\n(defn- pprint [value]\n (binding [*print-meta* true]\n (with-out-str (pp/pprint value))))\n​\n(defn- create-gist [content]\n (-> @(http/post\n \"https://api.github.com/gists\"\n {:basic-auth [(System/getenv \"GIT_USERNAME\")\n (System/getenv \"GIT_PASSWORD\")]\n :headers {\"Accept\" \"application/vnd.github.v3+json\"}\n :body (json/write\n {:public false\n :description \"Portal Share\"\n :files {\"data.clj\" {:content content}}})})\n :body\n json/read\n (get-in [:files :data.clj :raw_url])))\n​\n(defn- ->query-string [m]\n (str/join \"&\" (for [[k v] m] (str (name k) \"=\" v))))\n​\n(defn- create-url [gist-raw-url]\n (str \"https://djblue.github.io/portal/?\"\n (->query-string {:content-url gist-raw-url\n :content-type \"application/edn\"})))\n​\n(defn- shorten-url [url]\n (-> @(http/post\n \"https://url.api.stdlib.com/temporary@0.3.0/create/\"\n {:headers {\"Content-Type\" \"application/json\"}\n :body (json/write {:url url :ttl 86400})})\n :body\n json/read\n :link_url))\n​\n(defn share\n \"Create a shareable portal link for the supplied value.\"\n [value]\n (-> value pprint create-gist create-url shorten-url))\n​\n(p/register! #'share)\n```\n"}] ["Clerk" {:file "doc/guides/clerk.md", :markdown "# [Clerk](https://github.com/nextjournal/clerk)\n\nIf you would like to leverage Portal in the context of a clerk notebook, you can\nsetup a viewer such as the following:\n\n> **Warning**\n> Every viewer is a new iframe so having too many on the page will\n> cause performance issues.\n\n```clojure\n(ns portal.clerk\n (:require [nextjournal.clerk :as clerk]\n [portal.api :as p]))\n\n(def app-viewer\n {:name :portal/app\n :transform-fn\n (fn [value]\n (p/url\n (p/open {:launcher false\n :value (:nextjournal/value value)\n :theme :portal.colors/nord-light})))\n :render-fn '#(v/html [:iframe\n {:src %\n :style {:width \"100%\"\n :height \"50vh\"\n :border-left \"1px solid #d8dee9\"\n :border-right \"1px solid #d8dee9\"\n :border-bottom \"1px solid #d8dee9\"\n :border-radius 2}}])})\n\n(defn open\n \"Open portal with the value of `x` in current notebook.\"\n ([x] (open {} x))\n ([viewer-opts x]\n (clerk/with-viewer app-viewer viewer-opts x)))\n```\n"}] ["Custom Viewer" {:file "examples/portal-present/README.md", :markdown "# Custom Viewer\n\nPortal is implemented with [reagent][reagent] so implementing a custom viewer is\nas simple as writing a reagent component, this should be relatively easy\nassuming you are familiar with reagent.\n\nIn this guide I will walk you through creating a slide deck viewer in Portal.\n\n## Portal nREPL\n\nIf you would like to interactively develop your custom viewer, and are using\nnREPL, you can use the `portal.nrepl/wrap-repl` middleware. With that middleware\nenabled, you can launch a sub repl with the following:\n\n```clojure\n(require '[portal.api :as p])\n(def portal (p/open))\n;; Turns the current nREPL session into a portal repl session.\n(p/repl portal)\n```\n\nNow all subsequent eval invocations will run in the Portal UI ClojureScript\nruntime.\n\n> **Note**\n> To quit the Portal repl, eval `:cljs/quit`. This will automatically\n> occur if the portal session is no longer available.\n\n## Input Data Structure\n\nFor this particular viewer, we can enable any collection to act as a slide deck\nand allow each element in the sequence to decide how it wants to be rendered.\n\nFor example, the following should be considered a valid slide deck:\n\n```clojure\n[^{:portal.viewer/default :portal.viewer/hiccup}\n [:h1 \"hello\"]\n ^{:portal.viewer/default :portal.viewer/hiccup}\n [:h1 \"world\"]]\n```\n\nLet's express this as a `:predicate` for later use:\n\n```clojure\n(defn deck? [value] (and (coll? value) (not (map? value))))\n```\n\n## Creating a Reagent Component\n\nThe only assumption that Portal makes about viewer components is that they take\na value as their first argument, everything else is up to the component.\n\nFor example, the following is a valid Portal viewer:\n\n```clojure\n(defn viewer [value] [:pre {:style {:color :pink}} (pr-str value)])\n```\n\nHowever, that's not very interesting. For the deck viewer, let's render the\ncurrently selected element in the sequence as a slide:\n\n```clojure\n(ns portal-present.viewer\n (:require [portal.ui.api :as p]\n [portal.ui.inspector :as ins]\n [reagent.core :as r]))\n\n(defn view-presentation []\n (let [slide (r/atom 0)]\n (fn [slides]\n [:<>\n [ins/inspector (nth (seq slides) @slide :no-slide)]\n [:button {:on-click #(swap! slide dec)} \"prev\"]\n [:button {:on-click #(swap! slide inc)} \"next\"]])))\n```\n\n## Registering a viewer\n\nWhen you are satisfied with your component, you can register it with Portal via\n`portal.ui.api/register-viewer!` such as the following:\n\n```clojure\n(portal.ui.api/register-viewer!\n {:name ::slides\n :predicate deck?\n :component view-presentation})\n```\n\n> **Note**\n> Anytime a viewer is registered, it will cause the UI to re-render. This\n> is very handy for interactive development.\n\nAnd with just that, you now have a fully working custom viewer!\n\n## Code Loading\n\nThe next step, is getting the code loaded into the Portal UI runtime without\nusing `portal.api/repl`. This can be done via `portal.api/eval-str` which\nenables evaluating arbitrary ClojureScript code in the Portal UI runtime from\nthe host runtime.\n\nFor example, the following will alert `1` when invoked at the host repl.\n\n```clojure\n(require '[portal.api :as p])\n(p/eval-str \"(js/alert 1)\")\n```\n\nTo load the code for an extension, we can provide the string directly or load it\nfrom a file via slurp. For example:\n\n```clojure\n(require '[portal.api :as p])\n(p/eval-str (slurp (io/resource \"portal_present/viewer.cljs\")))\n```\n\n> **Note**\n> you can specify which Portal instance you want this code evaluated in\n> to prevent evaluating it in every available Portal UI runtime.\n\n## Usage\n\nNow that the viewer has been defined and loaded, you can select it like any viewer or enable it by default via metadata:\n\n```clojure\n(require '[portal.api :as p]\n '[portal.viewer :as-alias v])\n\n(def slides\n ^{::v/default :portal-present.viewer/slides}\n [^{::v/default ::v/hiccup} [:h1 \"hello\"]\n ^{::v/default ::v/hiccup} [:h1 \"world\"]])\n\n(add-tap p/submit)\n(tap> slides)\n```\n\n## Auto Loading\n\nAn issue with the current loading mechanism is that is won't persist across\nbrowser reloads or `portal.api/open` invocations. To address this issue, we can\nauto load the viewer via the `:on-load` hook. For example:\n\n```clojure\n(require '[portal.api :as p])\n\n(declare portal)\n\n(defn on-load []\n (p/eval-str portal (slurp (io/resource \"portal_present/viewer.cljs\"))))\n\n(def portal\n (p/open\n {:value slides\n :on-load on-load\n :window-title \"Portal Present\"}))\n```\n\n## Conclusion\n\nWith only the concepts above, you can now build a variety of custom viewers!\nFor a more complete example that builds on the above with improved styles and\nUX, look at [portal-present.viewer](./src/portal_present/viewer.cljs).\n\n[reagent]: https://reagent-project.github.io/\n"}]] ["Editors" ["Emacs" {:file "doc/editors/emacs.md", :markdown "# Emacs\n\n## CIDER\n\nIf you are an emacs + cider user and would like tighter integration with portal,\nthe following section may be of interest to you.\n\n```elisp\n;; Leverage an existing cider nrepl connection to evaluate portal.api functions\n;; and map them to convenient key bindings.\n\n;; def portal to the dev namespace to allow dereferencing via @dev/portal\n(defun portal.api/open ()\n (interactive)\n (cider-nrepl-sync-request:eval\n \"(do (ns dev) (def portal ((requiring-resolve 'portal.api/open))) (add-tap (requiring-resolve 'portal.api/submit)))\"))\n\n(defun portal.api/clear ()\n (interactive)\n (cider-nrepl-sync-request:eval \"(portal.api/clear)\"))\n\n(defun portal.api/close ()\n (interactive)\n (cider-nrepl-sync-request:eval \"(portal.api/close)\"))\n\n;; Example key mappings for doom emacs\n(map! :map clojure-mode-map\n ;; cmd + o\n :n \"s-o\" #'portal.api/open\n ;; ctrl + l\n :n \"C-l\" #'portal.api/clear)\n\n;; NOTE: You do need to have portal on the class path and the easiest way I know\n;; how is via a clj user or project alias.\n(setq cider-clojure-cli-aliases \":portal\")\n```\n\n## xwidget-webkit embed\n\n![Screen Shot 2022-10-15 at 2 45 29 PM](https://user-images.githubusercontent.com/1986211/196008954-f3aeac5f-0a5f-4c90-bd82-22f727beda57.png)\n\nIf you would like to run the Portal UI in emacs itself, you can do so with the\nfollowing code.\n\n> **Note**\n> You need a build of emacs with [Embedded-WebKit-Widgets][1]\n> Also, this method only works if you're using [emacs server](https://www.gnu.org/software/emacs/manual/html_node/emacs/Emacs-Server.html) functionality as it relies on `emacsclient` command\n\n```clojure\n(portal.api/open {:launcher :emacs})\n```\n\n> **Warning**\n> I haven't tested this extensively so you might run into some weird\n> issues\n\n[1]: https://www.gnu.org/software/emacs/manual/html_node/emacs/Embedded-WebKit-Widgets.html\n\n## Monroe & xwidget-webkit\n\nFor [Monroe](https://github.com/sanel/monroe) nREPL client users.\n\n### The code\n\nAdd the following to your Emacs config:\n\n```elisp\n; -*- lexical-binding: t; -*-\n;; The line above is really important, otherwise things will not work.\n\n;; A little helper to simplify communication between Emacs and the nREPL process\n(defun monroe-eval-code-and-callback-with-value (code-str on-value)\n (monroe-send-eval-string\n code-str\n (lambda (response)\n (condition-case err\n (monroe-dbind-response response\n (value status id)\n (when value (funcall on-value value))\n (when (member \"done\" status)\n (remhash id monroe-requests)))\n (error (message \"Eval error %s\" err))))))\n\n\n\n(defun monroe-launch-portal ()\n (interactive)\n (monroe-eval-code-and-callback-with-value\n \"(do\n (require 'portal.api)\n (let [url (portal.api/url (portal.api/open {:launcher false}))]\n (add-tap #'portal.api/submit)\n url)\"\n (lambda (value)\n ;; value is a raw string, so we need to remove \" from it\n (let ((url (string-replace \"\\\"\" \"\" value)))\n (message \"Opening portal %s\" url)\n (xwidget-webkit-browse-url url)))))\n\n```\n\n### Usage\n\nThen in the Monroe REPL or Clojure buffer with an active Monroe session run `M-x monroe-launch-portal`.\n\n> **Note**\n>\n> This is just a jump-off point, you might want to customize this function to your\n> liking, e.g. run the code in your `user` namespace, set a different theme and so on.\n> See CIDER section for how you can extend it further.\n"}] ["VS Code" {:file "doc/editors/vs-code.md", :markdown "# VS Code\n\n[![Screenshot](https://user-images.githubusercontent.com/1986211/140680881-497efd3b-da75-4220-9630-bf1af9d8bf37.png)](https://marketplace.visualstudio.com/items?itemName=djblue.portal)\n\nIf you are using vs-code, try out the [vs-code-extension][extension]. It allows\nlaunching portal in an embedded [webview][webview] within vs-code.\n\nFor a more in depth look at customizing vs-code for use with portal,\nparticularly with [calva][calva], take a look at\n[seancorfield/vscode-calva-setup][calva-setup].\n\nFor a more complete workflow guide, checkout [Calva, Joyride, and\nPortal][guide] by [@seancorfield][seancorfield].\n\n> **Note**\n> The version of portal being run in the webview is still decided by\n> the runtime in which `(portal.api/open {:launcher :vs-code})` is run.\n\n[calva]: https://calva.io/\n[calva-setup]: https://github.com/seancorfield/vscode-calva-setup\n[guide]: https://corfield.org/blog/2022/12/18/calva-joyride-portal/\n[seancorfield]: https://github.com/seancorfield\n[extension]: https://marketplace.visualstudio.com/items?itemName=djblue.portal\n[webview]: https://code.visualstudio.com/api/extension-guides/webview\n"} ["Clojure Notebooks" {:file "doc/editors/vs-code-notebook.md", :markdown "# Clojure Notebooks\n\nIf you are interested in using Portal as a renderer for [Calva's Clojure\nNotebooks][1], you've come to the right place.\n\nBefore getting started, make sure you have both the [Calva][2] and [Portal][3] VS Code extensions installed.\n\n## Usage\n\n

\n\n

\n\nWith the above extensions installed, you should now be able to open any Clojure\nfile by right clicking the file in the file explorer and selecting `Open\nWith...` and selecting `Clojure Notebook`. The output cells have a three dot\nmenu where you can change the presentation to Portal!\n\n> **Note**\n> Calva gives Portal the evaluation results as an edn string therefore\n> this mode of Portal will not be the same as a process connected Portal\n> instance.\n\n[1]: https://calva.io/notebooks/\n[2]: https://marketplace.visualstudio.com/items?itemName=betterthantomorrow.calva\n[3]: https://marketplace.visualstudio.com/items?itemName=djblue.portal\n\n## `portal.nrepl/wrap-notebook`\n\nIf you would like the same facilities provided by a process connected Portal\ninstance directly in your Calva notebooks, simply add the\n`portal.nrepl/wrap-notebook` middleware to your nrepl stack. This will enable:\n\n- [Datafy + Nav](../datafy.md)\n- First class object support\n- Runtime registered commands\n- Larger values which are harder for edn to serialize and parse\n- Better error rendering\n"}] ["Joyride" {:file "doc/editors/vs-code-joyride.md", :markdown "# Joyride\n\n![image](https://github.com/djblue/portal/assets/1986211/1fd37185-7304-4572-86c6-4207adc3f449)\n\nTo leverage the `portal.api` namespace from your Joyride script, ensure you have\nthe following VS Code extensions installed:\n\n- [Joyride](https://marketplace.visualstudio.com/items?itemName=betterthantomorrow.joyride)\n- [Calva](https://marketplace.visualstudio.com/items?itemName=betterthantomorrow.calva)\n- [Portal](https://marketplace.visualstudio.com/items?itemName=djblue.portal)\n\nThen after connection to a [Joyride REPL](https://calva.io/joyride/#how-to-connect),\nyou should be able to follow the [API guide](../../README.md#api).\n"}]] ["Intellij" {:file "doc/editors/intellij.md", :markdown "# Intellij\n\nThe Intellij plugin provides a way to embed the Portal UI directly into your IDE.\n\n[![Screenshot](https://user-images.githubusercontent.com/1986211/140680825-431459a8-02d5-40f8-b71c-42aa026cfe93.png)](https://plugins.jetbrains.com/plugin/18467-portal-inspector/)\n\nYou can download the IntelliJ plugin from the [Jet Brains\nMarketplace](https://plugins.jetbrains.com/plugin/18467-portal-inspector/).\n\"Portal\" button will appear on the right-hand bar. The window area will be blank\nuntil portal is launched from the REPL.\n\nAdd a dependency on Portal to your `deps.edn` or `project.clj`, start a Clojure\nREPL and inside that evaluate:\n\n```clojure\n(do\n (def user/portal ((requiring-resolve 'portal.api/open) {:launcher :intellij}))\n (add-tap (requiring-resolve 'portal.api/submit)))\n```\n\nYou can now `tap>` data and they will appear in the Portal tool window.\n\n## Features\n\nThe main benefits of using this plugin are:\n\n- Automatic font / theme discovery.\n- No window management.\n- Editor specific commands. See: goto-definition in the command palette.\n\n## Debugging / Troubleshooting\n\nIf after running `portal.api/open` at the REPL, the Portal UI does not open, it\nis most likely due to having a multi-module project. When the plugin is started,\nit writes a `.portal/intellij.edn` file, which the REPL process will try to\nfind. If the REPL process is started outside of the root project, it will not be\nable to use the Intellij plugin.\n\nA quick hack to get around this problem is to symlink the `.portal` directory to\nthe directory where the REPL process is started.\n\nSimilarly, if you get the following error message, simply remove the `.portal` directory, and try calling `(p/open {:launcher :intellij}` again.\n(This might be caused by the portal intellij extension not being initialized after upgrading, but you have an existing .portal/intellij.edn -- the clj runtime is trying to connect to a server that is no longer running.)\n\n```\nExecution error (ConnectException) at sun.nio.ch.Net/pollConnect (Net.java:-2).\nConnection refused\n```\n"}]] ["CLI Usage" {:file "doc/cli.md", :markdown "# CLI Usage\n\nAdd a portal alias in `~/.clojure/deps.edn`\n\n```clojure\n:portal/cli\n{:main-opts [\"-m\" \"portal.main\"]\n :extra-deps\n {djblue/portal {:mvn/version \"LATEST\"}\n ;; optional yaml support\n clj-commons/clj-yaml {:mvn/version \"0.7.0\"}}}\n```\n\nThen do the following depending on your data format:\n\n```bash\ncat data | clojure -M:portal/cli [edn|json|transit|yaml]\n# or with babashka for faster startup\ncat data | bb -cp `clojure -Spath -M:portal/cli` -m portal.main [edn|json|transit|yaml]\n```\n\nI keep the following bash aliases handy for easier CLI use:\n\n```bash\nalias portal='bb -cp `clojure -Spath -M:portal/cli` -m portal.main'\nalias edn='portal edn'\nalias json='portal json'\nalias transit='portal transit'\nalias yaml='portal yaml'\n```\n\nand often use the `Copy as cURL` feature in the chrome network tab to do\nthe following:\n\n```bash\ncurl ... | transit\n```\n\nThere is also the ability to invoke a standalone http server to listen and\ndisplay data from remote client\n\n```bash\nbb -cp `clojure -Spath -Sdeps '{:deps {djblue/portal {:mvn/version \"LATEST\"}}}'` \\\n -e '(require (quote [portal.api])) (portal.api/open {:port 53755}) @(promise)'\n```\n"}] ["Datafy / Nav" {:file "doc/datafy.md", :markdown "# [Datafy](https://clojuredocs.org/clojure.datafy/datafy) and [Nav](https://clojuredocs.org/clojure.datafy/nav)\n\nDatafy and Nav are extension points defined in clojure to support user defined\nlogic for transforming anything into clojure data and how to traverse it.\n\nFor a great overview of datafy and nav, I recommend reading [Clojure\n1.10's Datafy and Nav](https://corfield.org/blog/2018/12/03/datafy-nav/)\nby Sean Corfield.\n\nThe below will demonstrate the power of datafy and nav by allowing you to\ntraverse the hacker news api! It will produce data tagged with metadata on\nhow to get more data!\n\n```clojure\n(require '[examples.hacker-news :as hn])\n\n(tap> hn/stories)\n```\n\nAn interesting use case for nav is allowing users to nav into keywords to\nproduce documentation for that keyword. This really highlights the power\nbehind datafy and nav. It becomes very easy to tailor a browser into the\nperfect development environment!\n\nBelow is an example of extending the Datafiable protocol to java files:\n\n```clojure\n(require '[clojure.core.protocols :refer [Datafiable]])\n\n(extend-protocol Datafiable\n java.io.File\n (datafy [^java.io.File this]\n {:name (.getName this)\n :absolute-path (.getAbsolutePath this)\n :flags (cond-> #{}\n (.canRead this) (conj :read)\n (.canExecute this) (conj :execute)\n (.canWrite this) (conj :write)\n (.exists this) (conj :exists)\n (.isAbsolute this) (conj :absolute)\n (.isFile this) (conj :file)\n (.isDirectory this) (conj :directory)\n (.isHidden this) (conj :hidden))\n :size (.length this)\n :last-modified (.lastModified this)\n :uri (.toURI this)\n :files (seq (.listFiles this))\n :parent (.getParentFile this)}))\n```\n\nHere is an example of how to leverage [protocol extension via metadata](https://clojure.org/reference/protocols#_extend_via_metadata) to make it possible to navigate to a related entity, namely from a book to its author:\n\n```clojure\n;; in practice you'd use e.g. next.jdbc with a real DB, here we've a db map:\n(let [db {:book [#:book{:id 1, :title \"1984\" :author 10}]\n :person [#:person{:id 10 :fname \"George\" :lname \"Orwell\"}]}]\n (tap> (->> (get db :book)\n (map #(with-meta % {`clojure.core.protocols/nav\n (fn [_coll key value]\n (if (= key :book/author)\n (first (filter (comp #{value} :person/id) (:person db)))\n value))})))))\n```\n\nThis is what it looks like. Notice the book author's ID is selected - if we press Enter now, it will trigger the navigation and display the person map:\n\n![portal-nav-example](https://user-images.githubusercontent.com/624958/198690804-269131fe-2c77-4c37-96b2-fd4d6831d452.png)\n\n\n## Tips\n\nIf you would like to automatically datafy all tapped values, try the following:\n\n```clojure\n(require '[clojure.datafy :as d])\n(require '[portal.api :as p])\n\n(def submit (comp p/submit d/datafy))\n(add-tap #'submit)\n\n(tap> *ns*)\n```\n"}] ["Video Presentations" {:file "doc/videos.md", :markdown "## 2023-10-25 - Portal Internals (by Chris Badahdah)\n\n\n\"Portal\n\n\n## 2023-04-06 - Clojure visual-tools meeting 17 - Various Updates\n\n\n\"Clojure\n\n\n## 2022-12-07 - Tapping into one of Clojure's superpowers with Portal by James Trunk\n\n\n\"Tapping\n\n\n## 2022-12-01 - Clojure visual-tools meeting 16 - Calva Notebooks & Portal\n\n\n\"Clojure\n\n\n## 2022-08-08 - JUXT Safari - Portal, Developing with Data with Chris Williams\n\n\n\"JUXT\n\n\n## 2022-04-13 - Meetup: Collaborative Learning - Portal\n\n\n\"Meetup:\n\n\n## 2021-11-23 - Thinking with Portal (by Chris Badahdah)\n\n\n\"Thinking\n\n\n## 2020-10-15 - Apropos 14\n\n\n\"Apropos\n"}] ["Dev Guide" {:file "doc/dev/index.md", :markdown "# Development\n\nAfter [installing dependencies](./deps.md) and\n[setting up an editor](./editors.md), the following should be enough to get you\nstarted with Portal development. To kick off a dev server, do:\n\n```bash\nbb dev\nbb tasks # List all bb tasks\n```\n\nFor more info on dev tasks, see [tasks.md](./tasks.md).\n\n## [`user.clj`](../../dev/user.clj)\n\nA good place to start poking around is in the [user](../../dev/user.clj)\nnamespace. It has a bunch of useful example code for development. Take a peek to\nget going, but here are a few important bits.\n\n## `:mode` `:dev`\n\nBy default, anytime a Portal window is opened, it loads the production UI. If\nyou intend to edit the [UI](../../src/portal/ui) code, you will need to start\nPortal with the following option:\n\n```clojure\n(portal.api/open {:mode :dev})\n```\n"} ["System Deps" {:file "doc/dev/deps.md", :markdown "# System Dependencies\n\nTo get started with development on Portal, make sure you have the following\ndependencies installed on your system:\n\n- [java](https://openjdk.java.net/) - for clojure runtime\n - for osx, do `brew install openjdk`\n- [babashka](https://babashka.org/) - for build scripting\n - for osx, do: `brew install borkdude/brew/babashka`\n - to list all build tasks, do: `bb tasks`\n- [node, npm](https://nodejs.org/) - for javascript dependencies\n - for osx, do: `brew install node`\n"}] ["Editor Setup" {:file "doc/dev/editors.md", :markdown "# Editor Setup\n\nFor editor specific development tips, try the following:\n\n## vim + [vim-fireplace](https://github.com/tpope/vim-fireplace)\n\nTo start a dev server, do:\n\n```bash\nbb dev\n```\n\nvim-fireplace should automatically connect upon evaluation, but this will\nonly be for clj files, to get a cljs repl, do:\n\n```vim\n:CljEval (user/cljs)\n```\n\n## emacs + [cider](https://cider.mx/)\n\nThe best way to get started via emacs is to have cider start the repl, do:\n\n```bash\nM-x cider-jack-in-clj&cljs\n```\n\n[.dir-locals.el](../../.dir-locals.el) has all the configuration variables for\ncider.\n\n> **Note**\n> When using cider-jack-in, you will need to manually `npm install`\n> when the `package.json` or `package-lock.json` changes.\n"}] ["Dev Tasks" {:file "doc/dev/tasks.md", :markdown "# Dev Tasks\n\n## Formatting\n\nTo format source code, do:\n\n```bash\nbb fmt\n```\n\n## CI Checks\n\nTo run ci checks, do:\n\n```bash\nbb ci # run all ci check\n\nbb check # run just the static analysis\nbb test # run just the tests\n```\n\n## E2E Testing\n\nTo run the e2e tests in the jvm, node and web environments, do:\n\n```bash\nbb e2e\n```\n\n> **Note**\n> these aren't fully automated tests. They depend on a human for verification\n> and synchronization but it beats having to type everything out manually into\n> a repl.\n\n## Extensions\n\nTo build the [vs-code](./extension-vscode) and [intellij](./extension-intellij) extensions, do:\n\n```bash\nbb ext\n```\n\n### VS Code Dev\n\nTo launch a dev version of the vs-code extension, open a new directory with\n[extension-vscode](../../extension-vscode/) as the root. Then under the `Run and\nDebug` tab you should see a `Run Portal` action which will launch a new vs-code\ndev instance, I like to open the [root](../../) Portal directory in this\ninstance. You can also connect to shadow-cljs via the `:vs-code` or\n`:vs-code-notebook` builds to eval code at the repl. [Here][shadow-cljs] are the\neditor specific shadow-cljs guides.\n\n## Deployment\n\nTo deploy to a release to [clojars](https://clojars.org/djblue/portal), do:\n\n```bash\nbb tag\nbb deploy\n```\n\n[shadow-cljs]: https://shadow-cljs.github.io/docs/UsersGuide.html#_editor_integration"}]] ["Inspiration" {:file "doc/inspiration.md", :markdown "# Inspiration\n\n- [Reveal](https://github.com/vlaaad/reveal)\n - [Talk](https://www.youtube.com/watch?v=jq-7aiXPRKs)\n- [Clouseau](https://common-lisp.net/project/mcclim/static/manual/mcclim.html)\n - [Demo Video](https://youtu.be/-1LzFxTbU9E)\n- [clojure.inspector](https://clojuredocs.org/clojure.inspector/inspect)\n- [REBL](https://github.com/cognitect-labs/REBL-distro)\n- [punk](https://github.com/Lokeh/punk)\n- [shadow-cljs inspect](https://clojureverse.org/t/introducing-shadow-cljs-inspect/5012)\n"}] ["Limitations" {:file "doc/limitations.md", :markdown "# Limitations\n\nSince the Portal UI is implemented in ClojureScript, it also adopts some of its\nplatform limitations.\n\n## Dates\n\nDates captured from your host platform are interpreted as `js/Date` in the\nPortal UI. Therefore, as documents by this [ClojureScript issue][date-issue],\nthey are potentially interpreted against a different calendar.\n\n## Longs\n\nSince JavaScript doesn't support the full range of numbers provided by longs,\nintegers outside of a certain range must be boxed and shipped as string to the\nUI. This precludes them from participating in viewers that expect `js/Number`.\n\n## Doubles\n\nSince Portal serializes values as JSON, the treatment of doubles can become\ninexact. Any double value submitted to Portal with no decimal component can get\n\"downcast\" to a long when rendered or brought back into the REPL. This is\nfurther complicated since container values (maps, sets, vectors, lists) are\ncaptured and can be returned to the REPL exactly therefore avoiding this issue.\nIn any case, Portal should not be replied upon to preserve exact numeric types.\n\n## Lazy Values\n\nLazy values that contain exceptions will cause Portal's internals to break if\nallowed to flow into the tap-list. By trying to partially realize lazy values\nbefore accepting them, and rejecting any exceptional values, Portal can keep\nworking. However, this only applies to the default tap-list. Since Portal can be\nopened with any value, it is still possible to break that instance of Portal,\nbut it should be contained to that specific instance.\n\n[date-issue]: https://github.com/clojure/clojurescript-site/issues/367"}] ["portal.api" ["clear" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/clear]] [:<> ^{:key 0} [:portal.viewer/pr-str (clear)] ^{:key 1} [:portal.viewer/pr-str (clear portal)]] [:portal.viewer/markdown "Clear all values."]]}] ["close" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/close]] [:<> ^{:key 0} [:portal.viewer/pr-str (close)] ^{:key 1} [:portal.viewer/pr-str (close portal)]] [:portal.viewer/markdown "Close all current inspector windows.\n\n - portal: Portal session returned via `portal.api/open`.\n "]]}] ["docs" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/docs]] [:<> ^{:key 0} [:portal.viewer/pr-str (docs)] ^{:key 1} [:portal.viewer/pr-str (docs options)]] [:portal.viewer/markdown "Open portal docs.\n\n - options: see `portal.api/open` for options."]]}] ["eval-str" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/eval-str]] [:<> ^{:key 0} [:portal.viewer/pr-str (eval-str code)] ^{:key 1} [:portal.viewer/pr-str (eval-str portal code)] ^{:key 2} [:portal.viewer/pr-str (eval-str portal code opts)]] [:portal.viewer/markdown "Evaluate ClojureScript source given as a string in the UI runtime. The parameters:\n\n - portal: portal instance returned from `portal.api/open` or `:all`\n - code (string): the ClojureScript source\n - opts (map): evaluation options.\n - `:verbose` (boolean) optional, return a map containing more info that just the value.\n - Defaults to `false`.\n - `:await` (boolean) optional, await a promise result.\n - Defaults to `false`."]]}] ["inspect" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/inspect]] [:<> ^{:key 0} [:portal.viewer/pr-str (inspect value)] ^{:key 1} [:portal.viewer/pr-str (inspect value options)]] [:portal.viewer/markdown "Open a new portal window to inspect a particular value.\n\n - value: a value to inspect.\n - options: see `portal.api/open` for options."]]}] ["open" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/open]] [:<> ^{:key 0} [:portal.viewer/pr-str (open)] ^{:key 1} [:portal.viewer/pr-str (open portal-or-options)] ^{:key 2} [:portal.viewer/pr-str (open portal options)]] [:portal.viewer/markdown "Open a new inspector window. A previous instance can be passed as\n parameter to make sure it is open.\n\n - options (map): open options.\n - `:theme` (keyword) theme to use for Portal UI, see `portal.colors/themes` for themes.\n - Themes are applied per UI instance, not globally.\n - `:window-title` (string) browser window title.\n - Useful for distinguishing multiple UI instances.\n - `:app` (boolean) Run in `--app` mode via chrome.\n - Defaults to true when chrome is installed.\n - Will use PWA at https://djblue.github.io/portal/ when installed."]]}] ["register!" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/register!]] [:<> ^{:key 0} [:portal.viewer/pr-str (register! var)]] [:portal.viewer/markdown "Register a var with portal. For now, the var should be a 1 arity fn.\n\n Example:\n\n ```clojure\n (register! #'identity)\n ```\n\n The function name and doc string will show up in the command palette."]]}] ["repl" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/repl]] [:<> ^{:key 0} [:portal.viewer/pr-str (repl)] ^{:key 1} [:portal.viewer/pr-str (repl portal)]] [:portal.viewer/markdown "Start a repl for the given Portal session.\n\n - portal: Portal session returned via `portal.api/open`"]]}] ["selected" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/selected]] [:<> ^{:key 0} [:portal.viewer/pr-str (selected)] ^{:key 1} [:portal.viewer/pr-str (selected session)]] [:portal.viewer/markdown "Get a sequence of all currently selected values."]]}] ["sessions" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/sessions]] [:<> ^{:key 0} [:portal.viewer/pr-str (sessions)]] [:portal.viewer/markdown "Get all current portal sessions."]]}] ["set-defaults!" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/set-defaults!]] [:<> ^{:key 0} [:portal.viewer/pr-str (set-defaults! options)]] [:portal.viewer/markdown "Set default options for `open` and `start`.\n Parameters passed directly to either will override defaults."]]}] ["start" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/start]] [:<> ^{:key 0} [:portal.viewer/pr-str (start options)]] [:portal.viewer/markdown "Start the HTTP server with non-default options. Only use if you need\n control over the HTTP server.\n\n - options (map): start options.\n - `:host` (string) optional, server host to use for Portal server.\n - Ignored if server already started.\n - `:port` (number) optional, server port to use for Portal server.\n - Ignored if server already started."]]}] ["stop" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/stop]] [:<> ^{:key 0} [:portal.viewer/pr-str (stop)]] [:portal.viewer/markdown "Stop the HTTP server."]]}] ["submit" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/submit]] [:<> ^{:key 0} [:portal.viewer/pr-str (submit value)]] [:portal.viewer/markdown "Tap target function.\n\n Usage:\n\n ```clojure\n (add-tap #'portal.api/submit)\n (remove-tap #'portal.api/submit)\n ```"]]}] ["tap" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/tap]] [:<> ^{:key 0} [:portal.viewer/pr-str (tap)]] [:portal.viewer/markdown "Add portal as a `tap>` target."]]}] ["url" {:hiccup ^#:portal.viewer{:default :portal.viewer/hiccup} [:div {:style {:gap 9, :max-width 896, :padding 40, :display :flex, :flex-direction :column, :box-sizing :border-box}} [:h2 [:portal.viewer/inspector #'portal.api/url]] [:<> ^{:key 0} [:portal.viewer/pr-str (url portal)]] [:portal.viewer/markdown "Get url for portal session.\n\n - portal: Portal session returned via `portal.api/open`"]]}]]]} \ No newline at end of file diff --git a/icon.svg b/icon.svg new file mode 100644 index 00000000..afa607bc --- /dev/null +++ b/icon.svg @@ -0,0 +1,99 @@ + + + + + + + + + + + + image/svg+xml + + + + + + + + + + + + + diff --git a/index.html b/index.html new file mode 100644 index 00000000..1e4af006 --- /dev/null +++ b/index.html @@ -0,0 +1 @@ +portal
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D.modified("value")?ba.fork(ba.NO_SOURCE|ba.NO_FIELDS):ba.StopPropagation}});fd.Definition={type:"Quantile",metadata:{generates:!0,changes:!0},params:[{name:"groupby",type:"field",array:!0},{name:"field",type:"field",required:!0},{name:"probs",type:"number",array:!0},{name:"step",type:"number","default":.01},{name:"as",type:"string",array:!0,"default":["prob","value"]}]};e.inherits(fd,r.Transform,{transform(D,ba){const Ta= +ba.fork(ba.NO_SOURCE|ba.NO_FIELDS),lb=D.as||["prob","value"];if(this.value&&!D.modified()&&!ba.changed())return Ta.source=this.value,Ta;ba=ba.materialize(ba.SOURCE).source;ba=mb(ba,D.groupby,D.field);const Ib=(D.groupby||[]).map(e.accessorName),Wb=[],mc=D.step||.01,gc=D.probs||X(mc/2,1-1E-14,mc),tc=gc.length;ba.forEach(Oc=>{const Fc=O.quantiles(Oc,gc);for(let cd=0;cd{Ib=r.tupleid(Ib);Ta.rem.push(lb[Ib]);lb[Ib]=null}),ba.visit(ba.ADD,Ib=>{const Wb=r.derive(Ib);lb[r.tupleid(Ib)]=Wb;Ta.add.push(Wb)}),ba.visit(ba.MOD,Ib=>{const Wb=lb[r.tupleid(Ib)];for(const mc in Ib)Wb[mc]=Ib[mc],Ta.modifies(mc);Ta.mod.push(Wb)}));return Ta}}); +Fa.Definition={type:"Sample",metadata:{},params:[{name:"size",type:"number","default":1E3}]};e.inherits(Fa,r.Transform,{transform(D,ba){function Ta(Fc){let cd,md;gc.length=Oc&&(cd=gc[md],mc[r.tupleid(cd)]&&lb.rem.push(cd),gc[md]=Fc));++tc}const lb=ba.fork(ba.NO_SOURCE);var Ib=D.modified("size");const Wb=D.size,mc=this.value.reduce((Fc,cd)=>(Fc[r.tupleid(cd)]=1,Fc),{});let gc=this.value,tc=this.count,Oc=0;ba.rem.length&&(ba.visit(ba.REM,Fc=> +{const cd=r.tupleid(Fc);mc[cd]&&(mc[cd]=-1,lb.rem.push(Fc));--tc}),gc=gc.filter(Fc=>-1!==mc[r.tupleid(Fc)]));(ba.rem.length||Ib)&&gc.length{mc[r.tupleid(Fc)]||Ta(Fc)}),Oc=-1);if(Ib&&gc.length>Wb){D=gc.length-Wb;for(Ib=0;Ib{mc[r.tupleid(Fc)]&&lb.mod.push(Fc)});ba.add.length&&ba.visit(ba.ADD,Ta);if(ba.add.length||0>Oc)lb.add=gc.filter(Fc=>!mc[r.tupleid(Fc)]); +this.count=tc;this.value=lb.source=gc;return 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+null!=(Uc=Va.encode.labels).update||(Uc.update={});Va.encode.labels.update.text=tb}K=Ic}}return K}).filter(k=>void 0!==k)}function Gf(a){return a.children.reduce((b,f)=>b.concat(f.assembleProjections()),Wf(a))}function Wf(a){var b=a.component.projection;if(!b||b.merged)return[];const f=b.combine(),{name:h}=f;if(b.data){const k={signal:`[${b.size.map(v=>v.signal).join(", ")}]`};b=b.data.reduce((v,K)=>{K=Kb(K)?K.signal:`data('${a.lookupDataSource(K)}')`;v.includes(K)||v.push(K);return v},[]);if(0>= +b.length)throw Error("Projection's fit didn't find any data sources");return[{name:h,size:k,fit:{signal:1!e.hasOwnProperty(a.explicit,h)&&!e.hasOwnProperty(b.explicit, +h)||e.hasOwnProperty(a.explicit,h)&&e.hasOwnProperty(b.explicit,h)&&ja(a.get(h),b.get(h))?!0:!1);if(ja(a.size,b.size)){if(f)return a;if(ja(a.explicit,{}))return b;if(ja(b.explicit,{}))return a}return null}function Be(a){if(0!==a.children.length){var b;for(var f of a.children)f.component.projection=Jf(f)?Jg(f):Be(f);f=yb(a.children,h=>{if(h=h.component.projection){if(b)return(h=Kf(b,h))&&(b=h),!!h;b=h}return!0});if(b&&f){f=a.projectionName(!0);const h=new qm(f,b.specifiedProjection,b.size,Ge(b.data)); +for(const k of a.children)if(a=k.component.projection)a.isFit&&h.data.push(...k.component.projection.data),k.renameProjection(a.get("name"),f),a.merged=!0;return h}}}function Af(a,b,f){let h;f=null!=(h=Qe(f,void 0))?h:{};b=`${Ja(f)}_${b}`;return a.getName(`${b}_bins`)}function ci(a,b,f){let h;h="as"in a?e.isString(a.as)?[a.as,`${a.as}_end`]:[a.as[0],a.as[1]]:[wc(a,{forAs:!0}),wc(a,{binSuffix:"end",forAs:!0})];b={...Qe(b,void 0)};var k=a.field;k=`${Ja(b)}_${k}`;var v={signal:f.getName(`${k}_bins`), +extentSignal:f.getName(`${k}_extent`)};const {signal:K,extentSignal:ha}=v;if(aa(b.extent)){var sa=b.extent;sa=di(f,sa.param,sa);delete b.extent}return{key:k,binComponent:{bin:b,field:a.field,as:[h],...(K?{signal:K}:{}),...(ha?{extentSignal:ha}:{}),...(sa?{span:sa}:{})}}}function ae(a){return a.startsWith("'")&&a.endsWith("'")||a.startsWith('"')&&a.endsWith('"')?a.slice(1,-1):a}function Ed(a,b){a=xa(a);if("number"===b)return`toNumber(${a})`;if("boolean"===b)return`toBoolean(${a})`;if("string"===b)return`toString(${a})`; +if("date"===b)return`toDate(${a})`;if("flatten"===b)return a;if(b.startsWith("date:"))return b=ae(b.slice(5,b.length)),`timeParse(${a},'${b}')`;if(b.startsWith("utc:"))return b=ae(b.slice(4,b.length)),`utcParse(${a},'${b}')`;Ac(`Unrecognized parse "${b}".`);return null}function ie(a){const b={};r(a.filter,f=>{if(lf(f)){let h=null;if(ee(f))h=Zc(f.equal);else if(Ee(f))h=Zc(f.lte);else if(ye(f))h=Zc(f.lt);else if(Ne(f))h=Zc(f.gt);else if(af(f))h=Zc(f.gte);else if(Ff(f))h=f.range[0];else if(sf(f)){let k; +h=(null!=(k=f.oneOf)?k:f["in"])[0]}h&&(ba(h)?b[f.field]="date":e.isNumber(h)?b[f.field]="number":e.isString(h)&&(b[f.field]="string"));f.timeUnit&&(b[f.field]="date")}});return b}function Hd(a){function b(h){if(Te(h))f[h.field]="date";else{var k;if(k="quantitative"===h.type)k=h.aggregate,k=e.isString(k)&&Pa(["min","max"],k);k?f[h.field]="number":1{nc(h)?b(h):(k=ta(k),k=a.fieldDef(k),b({...h,type:k.type}))});if(Jf(a)){const {mark:h,markDef:k,encoding:v}=a;if(zc(h)&&!a.encoding.order){const K=v["horizontal"===k.orient?"y":"x"];!R(K)||"quantitative"!==K.type||K.field in f||(f[K.field]="number")}}return f}function se(a){return a instanceof fj||a instanceof Kk||a instanceof Lk}function xf(a){return a.stack.stackBy.reduce((b,f)=>{(f=wc(f.fieldDef))&&b.push(f);return b},[])}function Bf(a){return e.isArray(a)&&a.every(b=> +e.isString(b))&&100({signal:`{data: ${tf(h,{timeUnit:f, +type:b})}}`}))}function yi(a,b,f){let h;f=null==(h=ld(f))?void 0:h.unit;return"temporal"===b||f?ak(a,b,f):[a]}function mi(a,b,f,h){const {encoding:k,markDef:v,mark:K,config:ha,stack:sa}=f;var Va=Qd(k[h]),{type:tb}=Va;const ac=Va.timeUnit;if(null==b?0:b.unionWith)return h=mi(a,void 0,f,h),Va=yi(b.unionWith,tb,ac),Mg([...Va,...h.value]);if(Kb(b))return Mg([b]);if(b&&"unaggregated"!==b&&(null==b||!b.param))return Mg(yi(b,tb,ac));if(sa&&h===sa.fieldChannel){if("normalize"===sa.offset)return ag([[0,1]]); 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Using the union of the two domains.`;Ac(f)}return{explicit:a.explicit,value:[...a.value,...b.value]}}function Nk(a){var b=ab(a.map(k=>{if(Nb(k)){const {sort:v,...K}=k;return K}return k}),ya),f=ab(a.map(k=>{if(Nb(k))return k=k.sort,void 0===k||zb(k)||("op"in k&&"count"===k.op&&delete k.field,"ascending"===k.order&&delete k.order),k}).filter(k=>void 0!==k),ya);if(0!==b.length){if(1===b.length){b=a[0];if(Nb(b)&& +0e.isObject(k)&&"op"in k&&"min"!==k.op),h=f.every(k=>e.isObject(k)&&"op"in k)&&1===h.length?h[0]:!0):e.isObject(h)&&"field"in h&&b.field===h.field&&(h=h.order?{order:h.order}:!0);return{...b,sort:h}}return b}f=ab(f.map(k=>{if(zb(k)||!("op"in k)||e.isString(k.op)&&k.op in Ih)return k;Ac(`Dropping sort property ${va(k)} as unioned domains only support boolean or op "count", "min", and "max".`); +return!0}),ya);1===f.length?h=f[0]:1Nb(k)?k.data:null),k=>k);return 1===f.length&&null!==f[0]?{data:f[0],fields:b.map(k=>k.field),...(h?{sort:h}:{})}:{fields:b,...(h?{sort:h}:{})}}}function ck(a){if(Nb(a)&&e.isString(a.field))return a.field;var b=e.isArray(a)?!1:"fields"in a&&!("data"in a);if(b){let f;for(const h of a.fields)if(Nb(h)&&e.isString(h.field))if(!f)f=h.field; +else if(f!==h.field)return Ac("Detected faceted independent scales that union domain of multiple fields from different data sources. We will use the first field. The result view size may be incorrect."),f;Ac("Detected faceted independent scales that union domain of the same fields from different source. We will assume that this is the same field from a different fork of the same data source. However, if this is not the case, the result view size may be incorrect.");return f}b=e.isArray(a)?!1:"fields"in +a&&"data"in a;if(b)return Ac("Detected faceted independent scales that union domain of multiple fields from the same data source. We will use the first field. 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wa={compatible:!0},gb={labelAlign:{part:"labels",vgProp:"align"},labelBaseline:{part:"labels",vgProp:"baseline"},labelColor:{part:"labels",vgProp:"fill"},labelFont:{part:"labels", +vgProp:"font"},labelFontSize:{part:"labels",vgProp:"fontSize"},labelFontStyle:{part:"labels",vgProp:"fontStyle"},labelFontWeight:{part:"labels",vgProp:"fontWeight"},labelOpacity:{part:"labels",vgProp:"opacity"},labelOffset:null,labelPadding:null,gridColor:{part:"grid",vgProp:"stroke"},gridDash:{part:"grid",vgProp:"strokeDash"},gridDashOffset:{part:"grid",vgProp:"strokeDashOffset"},gridOpacity:{part:"grid",vgProp:"opacity"},gridWidth:{part:"grid",vgProp:"strokeWidth"},tickColor:{part:"ticks",vgProp:"stroke"}, 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makeFromTransform(a,b){const {timeUnit:f,...h}={...b};b=ld(f);b={...h,timeUnit:b}; +return new Bi(a,{[ya(b)]:b})}merge(a){this.timeUnits={...this.timeUnits};for(const b in a.timeUnits)this.timeUnits[b]||(this.timeUnits[b]=a.timeUnits[b]);for(const b of a.children)a.removeChild(b),b.parent=this;a.remove()}removeFormulas(a){const b={};for(const [f,h]of Tg(this.timeUnits))a.has(void 0!==h.as?h.as:`${h.field}_end`)||(b[f]=h);this.timeUnits=b}producedFields(){return new Set(Yf(this.timeUnits).map(a=>void 0!==a.as?a.as:`${a.field}_end`))}dependentFields(){return new Set(Yf(this.timeUnits).map(a=> +a.field))}hash(){return`TimeUnit ${ya(this.timeUnits)}`}assemble(){const a=[];for(const f of Yf(this.timeUnits)){const {rectBandPosition:h}=f,k=ld(f.timeUnit);if(void 0!==f.as){const {field:v,as:K}=f,{unit:ha,utc:sa,...Va}=k;var b=[K,`${K}_end`];a.push({field:Ma(v),type:"timeunit",...(ha?{units:tc(ha)}:{}),...(sa?{timezone:"utc"}:{}),...Va,as:b});a.push(...oa(b,h,k))}else if(f){({field:b}=f);b=b.replaceAll("\\.",".");const v=I({timeUnit:k,field:b}),K=`${b}_end`;a.push({type:"formula",expr:v,as:K}); +a.push(...oa([b,K],h,k))}}return a}}class sn{constructor(){La(this,"hasChannel",void 0);La(this,"hasField",void 0);La(this,"hasSelectionId",void 0);La(this,"timeUnit",void 0);La(this,"items",void 0);for(var a=arguments.length,b=Array(a),f=0;f"interval"===a.type&&"global"===a.resolve&&a.bind&&"scales"===a.bind,parse:(a,b)=>{const f=b.scales=[];for(const k of b.project.items){var h= +k.channel;if(!dh[h])continue;const v=(h=a.getScaleComponent(h))?h.get("type"):void 0;h&&Ab(v)?(h.set("selectionExtent",{param:b.name,field:k.field},!0),f.push(k)):Ac("Scale bindings are currently only supported for scales with unbinned, continuous domains.")}},topLevelSignals:(a,b,f)=>{const h=b.scales.filter(v=>0===f.filter(K=>K.name===v.signals.data).length);if(!a.parent||Zb(a)||0===h.length)return f;a=f.filter(v=>v.name===b.name)[0];let k=a.update;if(0<=k.indexOf("vlSelectionResolve"))a.update= +`{${h.map(v=>`${e.stringValue(Ma(v.field))}: ${v.signals.data}`).join(", ")}}`;else{for(const v of h){const K=`${e.stringValue(Ma(v.field))}: ${v.signals.data}`;k.includes(K)||(k=`${k.substring(0,k.length-1)}, ${K}}`)}a.update=k}return f.concat(h.map(v=>({name:v.signals.data})))},signals:(a,b,f)=>{if(a.parent&&!Zb(a))for(const h of b.scales)a=f.filter(k=>k.name===h.signals.data)[0],a.push="outer",delete a.value,delete a.update;return f}},Tm={left:"x",center:"xc",right:"x2"},Um={top:"y",middle:"yc", +bottom:"y2"},Vm=new Set(["aria","width","height"]),Bm={defined:a=>"point"===a.type&&a.nearest,parse:(a,b)=>{if(b.events)for(const f of b.events)f.markname=a.getName("voronoi")},marks:(a,b,f)=>{const {x:h,y:k}=b.project.hasChannel;b=a.mark;if(zc(b))return Ac(`The "nearest" transform is not supported for ${b} marks.`),f;b={name:a.getName("voronoi"),type:"path",interactive:!0,from:{data:a.getName("marks")},encode:{update:{fill:{value:"transparent"},strokeWidth:{value:.35},stroke:{value:"transparent"}, +isVoronoi:{value:!0},...Ca(a,{reactiveGeom:!0})}},transform:[{type:"voronoi",x:{expr:h||!k?"datum.datum.x || 0":"0"},y:{expr:k||!h?"datum.datum.y || 0":"0"},size:[a.getSizeSignalRef("width"),a.getSizeSignalRef("height")]}]};let v=0,K=!1;f.forEach((ha,sa)=>{let Va;ha=null!=(Va=ha.name)?Va:"";ha===a.component.mark[0].name?v=sa:0<=ha.indexOf("voronoi")&&(K=!0)});K||f.splice(v+1,0,b);return f}},Cm={defined:a=>"point"===a.type&&"global"===a.resolve&&a.bind&&"scales"!==a.bind&&!eg(a.bind),parse:(a,b,f)=> +ug(b,f),topLevelSignals:(a,b,f)=>{const h=b.name;a=b.project;const k=b.bind,v=b.init&&b.init[0],K=Bm.defined(b)?"(item().isVoronoi ? datum.datum : datum)":"datum";a.items.forEach((ha,sa)=>{const Va=ka(`${h}_${ha.field}`);if(!f.filter(tb=>tb.name===Va).length){let tb,ac;f.unshift({name:Va,...(v?{init:rg(v[sa])}:{value:null}),on:b.events?[{events:b.events,update:`datum && item().mark.marktype !== 'group' ? ${K}[${e.stringValue(ha.field)}] : null`}]:[],bind:null!=(ac=null!=(tb=k[ha.field])?tb:k[ha.channel])? +ac:k})}});return f},signals:(a,b,f)=>{const h=b.name;var k=b.project;a=f.filter(K=>K.name===h+"_tuple")[0];b=h+"_tuple_fields";k=k.items.map(K=>ka(`${h}_${K.field}`));const v=k.map(K=>`${K} !== null`).join(" \x26\x26 ");k.length&&(a.update=`${v} ? {fields: ${b}, values: [${k.join(", ")}]} : null`);delete a.value;delete a.on;return f}},Dm={defined:a=>"point"===a.type&&!!a.toggle,signals:(a,b,f)=>f.concat({name:b.name+"_toggle",value:!1,on:[{events:b.events,update:b.toggle}]}),modifyExpr:(a,b)=>{const f= +b.name+"_tuple",h=b.name+"_toggle";return`${h} ? null : ${f}, `+("global"===b.resolve?`${h} ? null : true, `:`${h} ? null : {unit: ${sg(a)}}, `)+`${h} ? ${f} : null`}},mm={defined:a=>{const b="global"===a.resolve&&a.bind&&eg(a.bind);a=1===a.project.items.length&&"_vgsid_"!==a.project.items[0].field;b&&!a&&Ac("Legend bindings are only supported for selections over an individual field or encoding channel.");return b&&a},parse:(a,b,f)=>{a=Ge(f);a.select=e.isString(a.select)?{type:a.select,toggle:b.toggle}: +{...a.select,toggle:b.toggle};ug(b,a);if(e.isObject(f.select)&&(f.select.on||f.select.clear))for(const h of b.events){let k;h.filter=e.array(null!=(k=h.filter)?k:[]);h.filter.includes('event.item \x26\x26 indexof(event.item.mark.role, "legend") \x3c 0')||h.filter.push('event.item \x26\x26 indexof(event.item.mark.role, "legend") \x3c 0')}f=Jd(b.bind)?b.bind.legend:"click";f=e.isString(f)?e.parseSelector(f,"view"):e.array(f);b.bind={legend:{merge:f}}},topLevelSignals:(a,b,f)=>{a=b.name;const h=Jd(b.bind)&& +b.bind.legend,k=K=>ha=>{ha=Ge(ha);ha.markname=K;return ha};for(const K of b.project.items){if(!K.hasLegend)continue;var v=`${ka(K.field)}_legend`;const ha=`${a}_${v}`;0===f.filter(sa=>sa.name===ha).length&&(v=h.merge.map(k(`${v}_symbols`)).concat(h.merge.map(k(`${v}_labels`))).concat(h.merge.map(k(`${v}_entries`))),f.unshift({name:ha,...(b.init?{}:{value:null}),on:[{events:v,update:"isDefined(datum.value) ? datum.value : item().items[0].items[0].datum.value",force:!0},{events:h.merge,update:`!event.item || !datum ? null : ${ha}`, +force:!0}]}))}return f},signals:(a,b,f)=>{const h=b.name;var k=b.project;a=f.find(K=>K.name===h+"_tuple");var v=h+"_tuple_fields";k=k.items.filter(K=>K.hasLegend).map(K=>ka(`${h}_${ka(K.field)}_legend`));v=`${k.map(K=>`${K} !== null`).join(" \x26\x26 ")} ? {fields: ${v}, values: [${k.join(", ")}]} : null`;b.events&&0({signal:K})),update:v}):0K.name===h+"_toggle");v=Jd(b.bind)&&b.bind.legend;a&&(b.events? +a.on.push({...a.on[0],events:v}):a.on[0].events=v);return f}},Jk=[{defined:a=>"point"===a.type,signals:(a,b,f)=>{const h=b.name,k=h+"_tuple_fields";var v=b.project,K,ha=Yf(null!=(K=a.component.selection)?K:{}).reduce((sa,Va)=>"interval"===Va.type?sa.concat(Va.name+"_brush"):sa,[]).map(sa=>`indexof(item().mark.name, '${sa}') < 0`).join(" \x26\x26 ");K=`datum && item().mark.marktype !== 'group' && indexof(item().mark.role, 'legend') < 0${ha?` && ${ha}`:""}`;ha=`unit: ${sg(a)}, `;b.project.hasSelectionId? +ha+=`${"_vgsid_"}: ${"(item().isVoronoi ? datum.datum : datum)"}[${e.stringValue("_vgsid_")}]`:(v=v.items.map(sa=>{let Va;return(null==(Va=a.fieldDef(sa.channel))?0:Va.bin)?`[${"(item().isVoronoi ? datum.datum : datum)"}[${e.stringValue(a.vgField(sa.channel,{}))}], `+`${"(item().isVoronoi ? datum.datum : datum)"}[${e.stringValue(a.vgField(sa.channel,{binSuffix:"end"}))}]]`:`${"(item().isVoronoi ? datum.datum : datum)"}[${e.stringValue(sa.field)}]`}).join(", "),ha+=`fields: ${k}, values: [${v}]`); +b=b.events;return f.concat([{name:h+"_tuple",on:b?[{events:b,update:`${K} ? {${ha}} : null`,force:!0}]:[]}])}},{defined:a=>"interval"===a.type,parse:(a,b,f)=>{a.hasProjection&&(a={...(e.isObject(f.select)?f.select:{}),fields:["_vgsid_"]},a.encodings||(a.encodings=f.value?yd(f.value):["longitude","latitude"]),f.select={type:"interval",...a});if(b.translate&&!ui.defined(b)){f=`!event.item || event.item.mark.name !== ${e.stringValue(b.name+"_brush")}`;for(const h of b.events){if(!h.between){Ac(`${h} is not an ordered event stream for interval selections.`); +continue}let k,v;b=e.array(null!=(v=(k=h.between[0]).filter)?v:k.filter=[]);0>b.indexOf(f)&&b.push(f)}}},signals:(a,b,f)=>{var h=b.name;const k=h+"_tuple";var v=Yf(b.project.hasChannel).filter(tb=>"x"===tb.channel||"y"===tb.channel);const K=b.init?b.init[0]:null;f.push(...v.reduce((tb,ac)=>tb.concat(cc(a,b,ac,K&&K[ac.index])),[]));if(a.hasProjection){var ha=e.stringValue(a.projectionName());const tb=a.projectionName()+"_center",{x:ac,y:qc}=b.project.hasChannel;var sa=ac&&ac.signals.visual;const $c= +qc&&qc.signals.visual;var Va=ac?K&&K[ac.index]:`${tb}[0]`;const Ic=qc?K&&K[qc.index]:`${tb}[1]`;sa="["+`[${sa?sa+"[0]":"0"}, ${$c?$c+"[0]":"0"}],`+`[${sa?sa+"[1]":a.getSizeSignalRef("width").signal}, `+`${$c?$c+"[1]":a.getSizeSignalRef("height").signal}]`+"]";K&&(f.unshift({name:h+"_init",init:`[scale(${ha}, [${ac?Va[0]:Va}, ${qc?Ic[0]:Ic}]), `+`scale(${ha}, [${ac?Va[1]:Va}, ${qc?Ic[1]:Ic}])]`}),ac&&qc||f.find(Uc=>Uc.name===tb)||f.unshift({name:tb,update:`invert(${ha}, [${a.getSizeSignalRef("width").signal}/2, ${a.getSizeSignalRef("height").signal}/2])`})); +h=`intersect(${sa}, {markname: ${e.stringValue(a.getName("marks"))}}, unit.mark)`;ha=`{unit: ${sg(a)}}`;h=`vlSelectionTuples(${h}, ${ha})`;v=v.map(Uc=>Uc.signals.visual);return f.concat({name:k,on:[{events:[...(v.length?[{signal:v.join(" || ")}]:[]),...(K?[{signal:"geo_interval_init_tick"}]:[])],update:h}]})}ui.defined(b)||(ha=h+"_scale_trigger",Va=v.map(tb=>{var ac=tb.channel;const {data:qc,visual:$c}=tb.signals;tb=e.stringValue(a.scaleName(ac));ac=a.getScaleComponent(ac).get("type");ac=Ab(ac)?"+": +"";return`(!isArray(${qc}) || `+`(${ac}invert(${tb}, ${$c})[0] === ${ac}${qc}[0] && `+`${ac}invert(${tb}, ${$c})[1] === ${ac}${qc}[1]))`}),Va.length&&f.push({name:ha,value:{},on:[{events:v.map(tb=>({scale:a.scaleName(tb.channel)})),update:Va.join(" \x26\x26 ")+` ? ${ha} : {}`}]}));v=v.map(tb=>tb.signals.data);h=`unit: ${sg(a)}, fields: ${h+"_tuple_fields"}, values`;return f.concat({name:k,...(K?{init:`{${h}: ${rg(K)}}`}:{}),...(v.length?{on:[{events:[{signal:v.join(" || ")}],update:`${v.join(" \x26\x26 ")} ? {${h}: [${v}]} : null`}]}: +{})})},topLevelSignals:(a,b,f)=>{Jf(a)&&a.hasProjection&&b.init&&(f.filter(h=>"geo_interval_init_tick"===h.name).length||f.unshift({name:"geo_interval_init_tick",value:null,on:[{events:"timer{1}",update:"geo_interval_init_tick \x3d\x3d\x3d null ? {} : geo_interval_init_tick"}]}));return f},marks:(a,b,f)=>{const h=b.name,{x:k,y:v}=b.project.hasChannel,K=null==k?void 0:k.signals.visual,ha=null==v?void 0:v.signals.visual,sa=`data(${e.stringValue(b.name+"_store")})`;if(ui.defined(b)||!k&&!v)return f; +const Va={x:void 0!==k?{signal:`${K}[0]`}:{value:0},y:void 0!==v?{signal:`${ha}[0]`}:{value:0},x2:void 0!==k?{signal:`${K}[1]`}:{field:{group:"width"}},y2:void 0!==v?{signal:`${ha}[1]`}:{field:{group:"height"}}};if("global"===b.resolve)for(const Ic of yd(Va))Va[Ic]=[{test:`${sa}.length && ${sa}[0].unit === ${sg(a)}`,...Va[Ic]},{value:0}];const {fill:tb,fillOpacity:ac,cursor:qc,...$c}=b.mark;a=yd($c).reduce((Ic,Uc)=>{Ic[Uc]=[{test:[void 0!==k&&`${K}[0] !== ${K}[1]`,void 0!==v&&`${ha}[0] !== ${ha}[1]`].filter(xd=> +xd).join(" \x26\x26 "),value:$c[Uc]},{value:null}];return Ic},{});return[{name:`${h+"_brush"}_bg`,type:"rect",clip:!0,encode:{enter:{fill:{value:tb},fillOpacity:{value:ac}},update:Va}},...f,{name:h+"_brush",type:"rect",clip:!0,encode:{enter:{...(qc?{cursor:{value:qc}}:{}),fill:{value:"transparent"}},update:{...Va,...a}}}]}},{defined:()=>!0,parse:(a,b,f)=>{const h=b.name;var k;const v=null!=(k=b.project)?k:b.project=new sn,K={};k={};const ha=new Set,sa=(Wc,Cd)=>{Wc="visual"===Cd?Wc.channel:Wc.field; +let Fd=ka(`${h}_${Wc}`);for(let Kd=1;ha.has(Fd);Kd++)Fd=ka(`${h}_${Wc}_${Kd}`);ha.add(Fd);return{[Cd]:Fd}},Va=b.type,tb=a.config.selection[Va],ac=void 0!==f.value?e.array(f.value):null;let {fields:qc,encodings:$c}=e.isObject(f.select)?f.select:{};if(!qc&&!$c&&ac)for(var Ic of ac)if(e.isObject(Ic))for(const Wc of yd(Ic))if(tk[Wc])($c||($c=[])).push(Wc);else if("interval"===Va)Ac('Interval selections should be initialized using "x", "y", "longitude", or "latitude" keys.'),$c=tb.encodings;else{let Cd; +(null!=(Cd=qc)?Cd:qc=[]).push(Wc)}qc||$c||($c=tb.encodings,"fields"in tb&&(qc=tb.fields));var Uc;for(const Wc of null!=(Uc=$c)?Uc:[])(Uc=a.fieldDef(Wc))?(f=Uc.field,Uc.aggregate?Ac(`Cannot project a selection on encoding channel "${Wc}" as it uses an aggregate function ("${Uc.aggregate}").`):f?(Uc.timeUnit&&!gc(Uc.timeUnit)&&(f=a.vgField(Wc),Ic={timeUnit:Uc.timeUnit,as:f,field:Uc.field},k[ya(Ic)]=Ic),K[f]||(Uc="interval"===Va&&dh[Wc]&&Ab(a.getScaleComponent(Wc).get("type"))?"R":Uc.bin?"R-RE":"E", +Uc={field:f,channel:Wc,type:Uc,index:v.items.length},Uc.signals={...sa(Uc,"data"),...sa(Uc,"visual")},v.items.push(K[f]=Uc),v.hasField[f]=K[f],v.hasSelectionId=v.hasSelectionId||"_vgsid_"===f,Wc in Vi?(Uc.geoChannel=Wc,Uc.channel=fb(Wc),v.hasChannel[Uc.channel]=K[f]):v.hasChannel[Wc]=K[f])):Ac(pb(Wc))):Ac(pb(Wc));let xd;for(const Wc of null!=(xd=qc)?xd:[])v.hasField[Wc]||(a={type:"E",field:Wc,index:v.items.length},a.signals={...sa(a,"data")},v.items.push(a),v.hasField[Wc]=a,v.hasSelectionId=v.hasSelectionId|| +"_vgsid_"===Wc);ac&&(b.init=ac.map(Wc=>v.items.map(Cd=>e.isObject(Wc)?void 0!==Wc[Cd.geoChannel||Cd.channel]?Wc[Cd.geoChannel||Cd.channel]:Wc[Cd.field]:Wc)));$a(k)||(v.timeUnit=new Bi(null,k))},signals:(a,b,f)=>{const h=b.name+"_tuple_fields";return 0k.name===h).length||b.project.hasSelectionId?f:f.concat({name:h,value:b.project.items.map(Uh)})}},Dm,Cm,ui,mm,{defined:a=>void 0!==a.clear&&!1!==a.clear,parse:(a,b)=>{b.clear&&(b.clear=e.isString(b.clear)?e.parseSelector(b.clear,"view"): +b.clear)},topLevelSignals:(a,b,f)=>{if(Cm.defined(b))for(const h of b.project.items)a=f.findIndex(k=>k.name===ka(`${b.name}_${h.field}`)),-1!==a&&f[a].on.push({events:b.clear,update:"null"});return f},signals:(a,b,f)=>{function h(k,v){-1!==k&&f[k].on&&f[k].on.push({events:b.clear,update:v})}if("interval"===b.type)for(const k of b.project.items)a=f.findIndex(v=>v.name===k.signals.visual),h(a,"[0, 0]"),-1===a&&(a=f.findIndex(v=>v.name===k.signals.data),h(a,"null"));else a=f.findIndex(k=>k.name===b.name+ +"_tuple"),h(a,"null"),Dm.defined(b)&&(a=f.findIndex(k=>k.name===b.name+"_toggle"),h(a,"false"));return f}},{defined:a=>"interval"===a.type&&a.translate,signals:(a,b,f)=>{const h=b.name,k=ui.defined(b),v=h+"_translate_anchor",{x:K,y:ha}=b.project.hasChannel;let sa=e.parseSelector(b.translate,"scope");k||(sa=sa.map(Va=>(Va.between[0].markname=h+"_brush",Va)));f.push({name:v,value:{},on:[{events:sa.map(Va=>Va.between[0]),update:"{x: x(unit), y: y(unit)"+(void 0!==K?`, extent_x: ${k?ob(a,"x"):`slice(${K.signals.visual})`}`: +"")+(void 0!==ha?`, extent_y: ${k?ob(a,"y"):`slice(${ha.signals.visual})`}`:"")+"}"}]},{name:h+"_translate_delta",value:{},on:[{events:sa,update:`{x: ${v}.x - x(unit), y: ${v}.y - y(unit)}`}]});void 0!==K&&hf(a,b,K,"width",f);void 0!==ha&&hf(a,b,ha,"height",f);return f}},{defined:a=>"interval"===a.type&&a.zoom,signals:(a,b,f)=>{const h=b.name,k=ui.defined(b),v=h+"_zoom_delta",{x:K,y:ha}=b.project.hasChannel,sa=e.stringValue(a.scaleName("x")),Va=e.stringValue(a.scaleName("y"));let tb=e.parseSelector(b.zoom, +"scope");k||(tb=tb.map(ac=>(ac.markname=h+"_brush",ac)));f.push({name:h+"_zoom_anchor",on:[{events:tb,update:k?"{"+[sa?`x: invert(${sa}, x(unit))`:"",Va?`y: invert(${Va}, y(unit))`:""].filter(ac=>ac).join(", ")+"}":"{x: x(unit), y: y(unit)}"}]},{name:v,on:[{events:tb,force:!0,update:"pow(1.001, event.deltaY * pow(16, event.deltaMode))"}]});void 0!==K&&Tf(a,b,K,"width",f);void 0!==ha&&Tf(a,b,ha,"height",f);return f}},Bm];class gk extends zf{clone(){return new gk(null,this.model,Ge(this.filter))}constructor(a, +b,f){super(a);this.model=b;this.filter=f;La(this,"expr",void 0);La(this,"_dependentFields",void 0);this.expr=Hf(this.model,this.filter,this);this._dependentFields=hi(this.expr)}dependentFields(){return this._dependentFields}producedFields(){return new Set}assemble(){return{type:"filter",expr:this.expr}}hash(){return`Filter ${this.expr}`}}const vm={scale:a=>{let {model:b,channel:f}=a;return b.scaleName(f)},format:a=>{({format:a}=a);return a},formatType:a=>{({formatType:a}=a);return a},grid:a=>{let {fieldOrDatumDef:b, +axis:f,scaleType:h}=a,k;return null!=(k=f.grid)?k:!qb(h)&&R(b)&&!eb(null==b?void 0:b.bin)&&!wb(null==b?void 0:b.bin)},gridScale:a=>{let {model:b,channel:f}=a;a="x"===f?"y":"x";a=b.getScaleComponent(a)?b.scaleName(a):void 0;return a},labelAlign:a=>{let {axis:b,labelAngle:f,orient:h,channel:k}=a;return b.labelAlign||gi(f,h,k)},labelAngle:a=>{({labelAngle:a}=a);return a},labelBaseline:a=>{let {axis:b,labelAngle:f,orient:h,channel:k}=a;return b.labelBaseline||Yi(f,h,k)},labelFlush:a=>{let {axis:b,fieldOrDatumDef:f, +channel:h}=a;null==(a=b.labelFlush)&&(a="x"===h&&Pa(["quantitative","temporal"],f.type)?!0:void 0);return a},labelOverlap:a=>{let {axis:b,fieldOrDatumDef:f,scaleType:h}=a;if(null==(a=b.labelOverlap)){a=f.type;var k=R(f)&&!!f.timeUnit,v=R(f)?f.sort:void 0;a=k&&!e.isObject(v)||"nominal"!==a&&"ordinal"!==a?"log"===h||"symlog"===h?"greedy":!0:void 0}return a},orient:a=>{({orient:a}=a);return a},tickCount:a=>{let {channel:b,model:f,axis:h,fieldOrDatumDef:k,scaleType:v}=a;a=(a="x"===b?"width":"y"===b?"height": +void 0)?f.getSizeSignalRef(a):void 0;let K;if(null!=(K=h.tickCount))var ha=K;else a:{let {fieldOrDatumDef:sa,scaleType:Va,size:tb,values:ac}={fieldOrDatumDef:k,scaleType:v,size:a,values:h.values};if(ac||qb(Va)||"log"===Va)ha=void 0;else{if(R(sa)){if(eb(sa.bin)){ha={signal:`ceil(${tb.signal}/10)`};break a}if(sa.timeUnit&&Pa(["month","hours","day","quarter"],null==(ha=ld(sa.timeUnit))?void 0:ha.unit)){ha=void 0;break a}}ha={signal:`ceil(${tb.signal}/40)`}}}return ha},tickMinStep:function(a){let {format:b, +fieldOrDatumDef:f}=a;if("d"===b)return 1;if(R(f)&&({timeUnit:a}=f,a&&(a=Rd(a))))return{signal:a}},title:a=>{let {axis:b,model:f,channel:h}=a;if(void 0!==b.title)return b.title;a=vj(f,h);if(void 0!==a)return a;a=f.typedFieldDef(h);const k=f.fieldDef("x"===h?"x2":"y2");return fd(a?[Id(a)]:[],R(k)?[Id(k)]:[])},values:a=>{let {axis:b,fieldOrDatumDef:f}=a;a=b.values;a=e.isArray(a)?Ad(f,a):Kb(a)?a:void 0;return a},zindex:a=>{let {axis:b,fieldOrDatumDef:f,mark:h}=a;null==(a=b.zindex)&&(a="rect"===h&&Wd(f)? +1:0);return a}};class hk extends zf{clone(){return new hk(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b;La(this,"_dependentFields",void 0);this._dependentFields=hi(this.transform.calculate)}static parseAllForSortIndex(a,b){b.forEachFieldDef((f,h)=>{if(Gc(f)&&re(f.sort)){const {field:v,timeUnit:K}=f;var k=f.sort;k=k.map((ha,sa)=>`${$e({field:v,timeUnit:K,equal:ha})} ? ${sa} : `).join("")+k.length;a=new hk(a,{calculate:k,as:Nh(f,h,{forAs:!0})})}});return a}producedFields(){return new Set([this.transform.as])}dependentFields(){return this._dependentFields}assemble(){return{type:"formula", +expr:this.transform.calculate,as:this.transform.as}}hash(){return`Calculate ${ya(this.transform)}`}}const bm=["row","column"],cm=["header","footer"],tn={column:{start:0,end:1},row:{start:1,end:0}},nm=yd({aria:1,clipHeight:1,columnPadding:1,columns:1,cornerRadius:1,description:1,direction:1,fillColor:1,format:1,formatType:1,gradientLength:1,gradientOpacity:1,gradientStrokeColor:1,gradientStrokeWidth:1,gradientThickness:1,gridAlign:1,labelAlign:1,labelBaseline:1,labelColor:1,labelFont:1,labelFontSize:1, +labelFontStyle:1,labelFontWeight:1,labelLimit:1,labelOffset:1,labelOpacity:1,labelOverlap:1,labelPadding:1,labelSeparation:1,legendX:1,legendY:1,offset:1,orient:1,padding:1,rowPadding:1,strokeColor:1,symbolDash:1,symbolDashOffset:1,symbolFillColor:1,symbolLimit:1,symbolOffset:1,symbolOpacity:1,symbolSize:1,symbolStrokeColor:1,symbolStrokeWidth:1,symbolType:1,tickCount:1,tickMinStep:1,title:1,titleAlign:1,titleAnchor:1,titleBaseline:1,titleColor:1,titleFont:1,titleFontSize:1,titleFontStyle:1,titleFontWeight:1, +titleLimit:1,titleLineHeight:1,titleOpacity:1,titleOrient:1,titlePadding:1,type:1,values:1,zindex:1,disable:1,labelExpr:1,selections:1,opacity:1,shape:1,stroke:1,fill:1,size:1,strokeWidth:1,strokeDash:1,encode:1});class Wm extends Wi{}const pm={symbols:function(a,b){let {fieldOrDatumDef:f,model:h,channel:k,legendCmpt:v,legendType:K}=b;if("symbol"===K){var {markDef:ha,encoding:sa,config:Va,mark:tb}=h;b=ha.filled&&"trail"!==tb;var ac={};for(var qc of sj){const Cd=Xb(qc,h.markDef,h.config);void 0!== +Cd&&(ac[qc]=Jb(Cd))}qc={...ac,...Rc(h,{filled:b})};var $c;ac=null!=($c=v.get("symbolOpacity"))?$c:Va.legend.symbolOpacity;var Ic;$c=null!=(Ic=v.get("symbolFillColor"))?Ic:Va.legend.symbolFillColor;var Uc;Ic=null!=(Uc=v.get("symbolStrokeColor"))?Uc:Va.legend.symbolStrokeColor;var xd;Uc=void 0===ac?null!=(xd=Ec(sa.opacity))?xd:ha.opacity:void 0;if(qc.fill)if("fill"===k||b&&"color"===k)delete qc.fill;else if(qc.fill.field)if($c)delete qc.fill;else{let Cd;qc.fill=Jb(null!=(Cd=Va.legend.symbolBaseFillColor)? +Cd:"black");qc.fillOpacity=Jb(null!=Uc?Uc:1)}else if(e.isArray(qc.fill)){var Wc;let Cd,Fd;if(xd=null!=(Fd=null!=(Cd=zd(null!=(Wc=sa.fill)?Wc:sa.color))?Cd:ha.fill)?Fd:b&&ha.color)qc.fill=Jb(xd)}qc.stroke&&("stroke"===k||!b&&"color"===k?delete qc.stroke:qc.stroke.field||Ic?delete qc.stroke:e.isArray(qc.stroke)&&(Wc=p(zd(sa.stroke||sa.color),ha.stroke,b?ha.color:void 0))&&(qc.stroke={value:Wc}));"opacity"!==k&&((Wc=R(f)&&xe(h,v,f))?qc.opacity=[{test:Wc,...Jb(null!=Uc?Uc:1)},Jb(Va.legend.unselectedOpacity)]: +Uc&&(qc.opacity=Jb(Uc)));qc={...qc,...a};return $a(qc)?void 0:qc}},gradient:function(a,b){let {model:f,legendType:h,legendCmpt:k}=b;if("gradient"===h){var {config:v,markDef:K,encoding:ha}=f;b={};var sa,Va=void 0===(null!=(sa=k.get("gradientOpacity"))?sa:v.legend.gradientOpacity)?Ec(ha.opacity)||K.opacity:void 0;Va&&(b.opacity=Jb(Va));b={...b,...a};return $a(b)?void 0:b}},labels:function(a,b){let {fieldOrDatumDef:f,model:h,channel:k,legendCmpt:v}=b;var K=h.legend(k)||{};b=h.config;var ha=R(f)?xe(h, +v,f):void 0;ha=ha?[{test:ha,value:1},{value:b.legend.unselectedOpacity}]:void 0;const {format:sa,formatType:Va}=K;K=void 0;Yc(Va)?K=Jc({fieldOrDatumDef:f,field:"datum.value",format:sa,formatType:Va,config:b}):void 0===sa&&void 0===Va&&b.customFormatTypes&&("quantitative"===f.type&&b.numberFormatType?K=Jc({fieldOrDatumDef:f,field:"datum.value",format:b.numberFormat,formatType:b.numberFormatType,config:b}):"temporal"===f.type&&b.timeFormatType&&R(f)&&void 0===f.timeUnit&&(K=Jc({fieldOrDatumDef:f,field:"datum.value", +format:b.timeFormat,formatType:b.timeFormatType,config:b})));a={...(ha?{opacity:ha}:{}),...(K?{text:K}:{}),...a};return $a(a)?void 0:a},entries:function(a,b){({legendCmpt:b}=b);let f;return(null==(f=b.get("selections"))?0:f.length)?{...a,fill:{value:"transparent"}}:a}},om={direction:a=>{({direction:a}=a);return a},format:a=>{let {fieldOrDatumDef:b,legend:f,config:h}=a;const {format:k,formatType:v}=f;return Cc(b,b.type,k,v,h,!1)},formatType:a=>{let {legend:b,fieldOrDatumDef:f,scaleType:h}=a;({formatType:a}= +b);return sd(a,f,h)},gradientLength:a=>{const {legend:b,legendConfig:f}=a;let h,k;if(null!=(k=null!=(h=b.gradientLength)?h:f.gradientLength))a=k;else{{let {legendConfig:v,model:K,direction:ha,orient:sa,scaleType:Va}=a;const {gradientHorizontalMaxLength:tb,gradientHorizontalMinLength:ac,gradientVerticalMaxLength:qc,gradientVerticalMinLength:$c}=v;a=Hg.has(Va)?"horizontal"===ha?"top"===sa||"bottom"===sa?{signal:`clamp(${K.getSizeSignalRef("width").signal}, ${ac}, ${tb})`}:ac:{signal:`clamp(${K.getSizeSignalRef("height").signal}, ${$c}, ${qc})`}: +void 0}}return a},labelOverlap:a=>{let {legend:b,legendConfig:f,scaleType:h}=a;var k;k=null!=(a=null!=(k=b.labelOverlap)?k:f.labelOverlap)?a:Pa(["quantile","threshold","log","symlog"],h)?"greedy":void 0;return k},symbolType:a=>{let {legend:b,markDef:f,channel:h,encoding:k}=a;if(null!=(a=b.symbolType))var v=a;else a:{a=f.type;var K=k.shape,ha=f.shape;if("shape"!==h&&(K=null!=(v=zd(K))?v:ha)){v=K;break a}switch(a){case "bar":case "rect":case "image":case "square":v="square";break a;case "line":case "trail":case "rule":v= +"stroke";break a;case "arc":case "point":case "circle":case "tick":case "geoshape":case "area":case "text":v="circle";break a}v=void 0}return v},title:a=>{let {fieldOrDatumDef:b,config:f}=a;return Ld(b,f,{allowDisabling:!0})},type:a=>{let {legendType:b,scaleType:f,channel:h}=a;if(Za(h)&&Hg.has(f)){if("gradient"===b)return}else if("symbol"===b)return;return b},values:a=>{let {fieldOrDatumDef:b,legend:f}=a;a=f.values;a=e.isArray(a)?Ad(b,a):Kb(a)?a:void 0;return a}},Xm="type clipAngle clipExtent center rotate precision reflectX reflectY coefficient distance fraction lobes parallel radius ratio spacing tilt".split(" "); +class qm extends Wi{constructor(a,b,f,h){super({...b},{name:a});this.specifiedProjection=b;this.size=f;this.data=h;La(this,"merged",!1)}get isFit(){return!!this.data}}class Ai extends zf{clone(){return new Ai(null,Ge(this.bins))}constructor(a,b){super(a);this.bins=b}static makeFromEncoding(a,b){const f=b.reduceFieldDef((h,k,v)=>{if(nc(k)&&eb(k.bin)){const {key:Va,binComponent:tb}=ci(k,k.bin,b);var K={...h[Va]};var ha=b.config;if(Le(k,v)){var sa;let ac;const qc=Jf(b)?null!=(ac=null!=(sa=b.axis(v))? +sa:b.legend(v))?ac:{}:{};v=wc(k,{expr:"datum"});sa=wc(k,{expr:"datum",binSuffix:"end"});k={formulaAs:wc(k,{binSuffix:"range",forAs:!0}),formula:$d(v,sa,qc.format,qc.formatType,ha)}}else k={};h[Va]={...tb,...K,...k}}return h},{});return $a(f)?null:new Ai(a,f)}static makeFromTransform(a,b,f){const {key:h,binComponent:k}=ci(b,b.bin,f);return new Ai(a,{[h]:k})}merge(a,b){for(const f of yd(a.bins))f in this.bins?(b(a.bins[f].signal,this.bins[f].signal),this.bins[f].as=ab([...this.bins[f].as,...a.bins[f].as], +ya)):this.bins[f]=a.bins[f];for(const f of a.children)a.removeChild(f),f.parent=this;a.remove()}producedFields(){return new Set(Yf(this.bins).map(a=>a.as).flat(2))}dependentFields(){return new Set(Yf(this.bins).map(a=>a.field))}hash(){return`Bin ${ya(this.bins)}`}assemble(){return Yf(this.bins).flatMap(a=>{const b=[],[f,...h]=a.as,{extent:k,...v}=a.bin;var K={type:"bin",field:Ma(a.field),as:f,signal:a.signal,...(aa(k)?{extent:null}:{extent:k}),...(a.span?{span:{signal:`span(${a.span})`}}:{}),...v}; +!k&&a.extentSignal&&(b.push({type:"extent",field:Ma(a.field),signal:a.extentSignal}),K.extent={signal:a.extentSignal});b.push(K);for(const ha of h)for(K=0;2>K;K++)b.push({type:"formula",expr:wc({field:f[K]},{expr:"datum"}),as:ha[K]});a.formula&&b.push({type:"formula",expr:a.formula,as:a.formulaAs});return b})}}class li extends zf{clone(){return new li(null,new Set(this.dimensions),Ge(this.measures))}constructor(a,b,f){super(a);this.dimensions=b;this.measures=f}get groupBy(){return this.dimensions}static makeFromEncoding(a, +b){let f=!1;b.forEachFieldDef(v=>{v.aggregate&&(f=!0)});const h={},k=new Set;if(!f)return null;b.forEachFieldDef((v,K)=>{const {aggregate:ha,field:sa}=v;if(ha)if("count"===ha)null!=h["*"]||(h["*"]={}),h["*"].count=new Set([wc(v,{forAs:!0})]);else{if(S(ha)||X(ha)){v=S(ha)?"argmin":"argmax";var Va=ha[v];null!=h[Va]||(h[Va]={});h[Va][v]=new Set([wc({op:v,field:Va},{forAs:!0})])}else null!=h[sa]||(h[sa]={}),h[sa][ha]=new Set([wc(v,{forAs:!0})]);dh[K]&&"unaggregated"===b.scaleDomain(K)&&(null!=h[sa]|| +(h[sa]={}),h[sa].min=new Set([wc({field:sa,aggregate:"min"},{forAs:!0})]),h[sa].max=new Set([wc({field:sa,aggregate:"max"},{forAs:!0})]))}else{var tb=Jf(b)?b.encoding[H(K)]:void 0;if(nc(v)&&Jf(b)&&B(v,tb,b.markDef,b.config)){k.add(wc(v,{}));k.add(wc(v,{suffix:"end"}));const {mark:ac,markDef:qc,config:$c}=b;tb=Sd({fieldDef:v,markDef:qc,config:$c});Da(ac)&&.5!==tb&&u(K)&&(k.add(wc(v,{suffix:"offsetted_rect_start"})),k.add(wc(v,{suffix:"offsetted_rect_end"})));v.bin&&Le(v,K)&&k.add(wc(v,{binSuffix:"range"}))}else K in +Vi?(K=fb(K),k.add(b.getName(K))):k.add(wc(v));if(K=Gc(v))K=null==(Va=v.scale)?void 0:Va.range,K=e.isObject(K)&&"field"in K;K&&k.add(v.scale.range.field)}});return 0===k.size+yd(h).length?null:new li(a,k,h)}static makeFromTransform(a,b){const f=new Set,h={};for(const v of b.aggregate){const {op:K,field:ha,as:sa}=v;if(K)if("count"===K){let Va;null!=(Va=h)["*"]||(Va["*"]={});h["*"].count=new Set([sa?sa:wc(v,{forAs:!0})])}else{let Va,tb;null!=(Va=h)[tb=ha]||(Va[tb]={});h[ha][K]=new Set([sa?sa:wc(v,{forAs:!0})])}}let k; +for(const v of null!=(k=b.groupby)?k:[])f.add(v);return 0===f.size+yd(h).length?null:new li(a,f,h)}merge(a){if(ub(this.dimensions,a.dimensions)){var b=this.measures;a=a.measures;for(const f of yd(a)){const h=a[f];for(const k of yd(h))if(f in b){let v;b[f][k]=new Set([...(null!=(v=b[f][k])?v:[]),...h[k]])}else b[f]={[k]:h[k]}}return!0}D("different dimensions, cannot merge");return!1}addDimensions(a){a.forEach(this.dimensions.add,this.dimensions)}dependentFields(){return new Set([...this.dimensions, +...yd(this.measures)])}producedFields(){const a=new Set;for(const b of yd(this.measures))for(const f of yd(this.measures[b])){const h=this.measures[b][f];0===h.size?a.add(`${f}_${b}`):h.forEach(a.add,a)}return a}hash(){return`Aggregate ${ya({dimensions:this.dimensions,measures:this.measures})}`}assemble(){const a=[],b=[],f=[];for(const h of yd(this.measures))for(const k of yd(this.measures[h]))for(const v of this.measures[h][k])f.push(v),a.push(k),b.push("*"===h?null:Ma(h));return{type:"aggregate", +groupby:[...this.dimensions].map(Ma),ops:a,fields:b,as:f}}}class Dj extends zf{constructor(a,b,f,h){super(a);this.model=b;this.name=f;this.data=h;La(this,"column",void 0);La(this,"row",void 0);La(this,"facet",void 0);La(this,"childModel",void 0);for(const k of gh)if(a=b.facet[k]){const {bin:v,sort:K}=a;this[k]={name:b.getName(`${k}_domain`),fields:[wc(a),...(eb(v)?[wc(a,{binSuffix:"end"})]:[])],...(Od(K)?{sortField:K}:e.isArray(K)?{sortIndexField:Nh(a,k)}:{})}}this.childModel=b.child}hash(){let a= +"Facet";for(const b of gh)this[b]&&(a+=` ${b.charAt(0)}:${ya(this[b])}`);return a}get fields(){const a=[];for(const b of gh){let f;(null==(f=this[b])?0:f.fields)&&a.push(...this[b].fields)}return a}dependentFields(){const a=new Set(this.fields);for(const b of gh)this[b]&&(this[b].sortField&&a.add(this[b].sortField.field),this[b].sortIndexField&&a.add(this[b].sortIndexField));return a}producedFields(){return new Set}getSource(){return this.name}getChildIndependentFieldsWithStep(){const a={};for(const h of fh){var b= +this.childModel.component.scales[h];if(b&&!b.merged){var f=b.get("type");b=b.get("range");qb(f)&&kc(b)&&(f=Gj(this.childModel,h),(f=ck(f))?a[h]=f:Ac(Ya(h)))}}return a}assembleRowColumnHeaderData(a,b,f){const h={row:"y",column:"x",facet:void 0}[a],k=[],v=[],K=[];h&&f&&f[h]&&(b?(k.push(`distinct_${f[h]}`),v.push("max")):(k.push(f[h]),v.push("distinct")),K.push(`distinct_${f[h]}`));const {sortField:ha,sortIndexField:sa}=this[a];if(ha){const {op:Va="min",field:tb}=ha;k.push(tb);v.push(Va);K.push(wc(ha, +{forAs:!0}))}else sa&&(k.push(sa),v.push("max"),K.push(sa));return{name:this[a].name,source:null!=b?b:this.data,transform:[{type:"aggregate",groupby:this[a].fields,...(k.length?{fields:k,ops:v,as:K}:{})}]}}assembleFacetHeaderData(a){const {columns:b}=this.model.layout,{layoutHeaders:f}=this.model.component,h=[],k={};for(const sa of bm){for(const Va of cm){let tb;var v=null!=(tb=f[sa]&&f[sa][Va])?tb:[];for(const ac of v){let qc;if(0<(null==(qc=ac.axes)?void 0:qc.length)){k[sa]=!0;break}}}k[sa]&&(v= +`length(data("${this.facet.name}"))`,h.push({name:`${this.facet.name}_${sa}`,transform:[{type:"sequence",start:0,stop:"row"===sa?b?{signal:`ceil(${v} / ${b})`}:1:b?{signal:`min(${v}, ${b})`}:{signal:v}}]}))}const {row:K,column:ha}=k;(K||ha)&&h.unshift(this.assembleRowColumnHeaderData("facet",null,a));return h}assemble(){const a=[];var b=null;const f=this.getChildIndependentFieldsWithStep(),{column:h,row:k,facet:v}=this;if(h&&k&&(f.x||f.y)){b=`cross_${this.column.name}_${this.row.name}`;var K;let ha; +const sa=[].concat(null!=(K=f.x)?K:[],null!=(ha=f.y)?ha:[]);K=sa.map(()=>"distinct");a.push({name:b,source:this.data,transform:[{type:"aggregate",groupby:this.fields,fields:sa,ops:K}]})}for(const ha of["column","row"])this[ha]&&a.push(this.assembleRowColumnHeaderData(ha,b,f));v&&(b=this.assembleFacetHeaderData(f))&&a.push(...b);return a}}class nh extends zf{clone(){return new nh(null,Ge(this._parse))}constructor(a,b){super(a);La(this,"_parse",void 0);this._parse=b}hash(){return`Parse ${ya(this._parse)}`}static makeExplicit(a, +b,f){let h={};b=b.data;let k;!qf(b)&&(null==b?0:null==(k=b.format)?0:k.parse)&&(h=b.format.parse);return this.makeWithAncestors(a,h,{},f)}static makeWithAncestors(a,b,f,h){for(var k of yd(f)){const K=h.getWithExplicit(k);void 0!==K.value&&(K.explicit||K.value===f[k]||"derived"===K.value||"flatten"===f[k]?delete f[k]:Ac(Ub(k,f[k],K.value)))}for(var v of yd(b))k=h.get(v),void 0!==k&&(k===b[v]?delete b[v]:Ac(Ub(v,b[v],k)));b=new Wi(b,f);h.copyAll(b);f={};for(const K of yd(b.combine()))v=b.get(K),null!== +v&&(f[K]=v);return 0===yd(f).length||h.parseNothing?null:new nh(a,f)}get parse(){return this._parse}merge(a){this._parse={...this._parse,...a.parse};a.remove()}assembleFormatParse(){const a={};for(const b of yd(this._parse)){const f=this._parse[b];1===F(b)&&(a[b]=f)}return a}producedFields(){return new Set(yd(this._parse))}dependentFields(){return new Set(yd(this._parse))}assembleTransforms(){let a=0a?1{const f=Ed(b,this._parse[b]);return f?{type:"formula",expr:f,as:M(b)}:null}).filter(b=>null!==b)}}class kj extends zf{clone(){return new kj(null)}constructor(a){super(a)}dependentFields(){return new Set}producedFields(){return new Set(["_vgsid_"])}hash(){return"Identifier"}assemble(){return{type:"identifier",as:"_vgsid_"}}}class Kk extends zf{clone(){return new Kk(null,this.params)}constructor(a,b){super(a);this.params=b}dependentFields(){return new Set}producedFields(){}hash(){return`Graticule ${ya(this.params)}`}assemble(){return{type:"graticule", +...(!0===this.params?{}:this.params)}}}class Lk extends zf{clone(){return new Lk(null,this.params)}constructor(a,b){super(a);this.params=b}dependentFields(){return new Set}producedFields(){let a;return new Set([null!=(a=this.params.as)?a:"data"])}hash(){return`Hash ${ya(this.params)}`}assemble(){return{type:"sequence",...this.params}}}class fj extends zf{constructor(a){super(null);La(this,"_data",void 0);La(this,"_name",void 0);La(this,"_generator",void 0);null!=a||(a={name:"source"});let b;qf(a)|| +(b=a.format?{...Ia(a.format,["parse"])}:{});if("values"in a)this._data={values:a.values};else if("url"in a){if(this._data={url:a.url},!b.type){let f=/(?:\.([^.]+))?$/.exec(a.url)[1];Pa(["json","csv","tsv","dsv","topojson"],f)||(f="json");b.type=f}}else if("sphere"in a)this._data={values:[{type:"Sphere"}]};else if(Fg(a)||qf(a))this._data={};this._generator=qf(a);a.name&&(this._name=a.name);b&&!$a(b)&&(this._data.format=b)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(a){this._name= +a}set parent(a){throw Error("Source nodes have to be roots.");}remove(){throw Error("Source nodes are roots and cannot be removed.");}hash(){throw Error("Cannot hash sources");}assemble(){return{name:this._name,...this._data,transform:[]}}}var Ak=new WeakMap;class dm{constructor(){if(Ak.has(this))throw new TypeError("Cannot initialize the same private elements twice on an object");Ak.set(this,{writable:!0,value:void 0});Hb(this,Ak,!1)}setModified(){Hb(this,Ak,!0)}get modifiedFlag(){var a=la(this, +Ak,"get");return a.get?a.get.call(this):a.value}}class tj extends dm{getNodeDepths(a,b,f){f.set(a,b);for(const h of a.children)this.getNodeDepths(h,b+1,f);return f}optimize(a){a=[...this.getNodeDepths(a,0,new Map).entries()].sort((b,f)=>f[1]-b[1]);for(const b of a)this.run(b[0]);return this.modifiedFlag}}class em extends dm{optimize(a){this.run(a);for(const b of a.children)this.optimize(b);return this.modifiedFlag}}class gn extends em{mergeNodes(a,b){const f=b.shift();for(const h of b)a.removeChild(h), +h.parent=f,h.remove()}run(a){const b=a.children.map(h=>h.hash()),f={};for(let h=0;hk instanceof nh);if(1f instanceof Bi);const b=a.pop();for(const f of a)this.setModified(),b.merge(f)}}class en extends tj{run(a){var b=a.children.filter(k=>k instanceof li);const f={};for(var h of b)b=ya(h.groupBy),b in f||(f[b]=[]),f[b].push(h);for(const k of yd(f))if(h= +f[k],1k instanceof mh)&&!(1>=a.numChildren())){var f=[];for(const k of b)if(k instanceof mh){for(b=k;1===b.numChildren();){const [v]=b.children;if(v instanceof mh)b=v;else break}f.push(...b.children);if(h)a.removeChild(k),k.parent=h.parent,h.parent.removeChild(h), +h.parent=b,this.setModified();else var h=b}else f.push(k);if(f.length){this.setModified();for(const k of f)k.parent.removeChild(k),k.parent=h}}}}class Ej extends zf{clone(){return new Ej(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b}addDimensions(a){this.transform.groupby=ab(this.transform.groupby.concat(a),b=>b)}dependentFields(){const a=new Set;this.transform.groupby&&this.transform.groupby.forEach(a.add,a);this.transform.joinaggregate.map(b=>b.field).filter(b=>void 0!==b).forEach(a.add, +a);return a}producedFields(){return new Set(this.transform.joinaggregate.map(this.getDefaultName))}getDefaultName(a){let b;return null!=(b=a.as)?b:wc(a)}hash(){return`JoinAggregateTransform ${ya(this.transform)}`}assemble(){const a=[],b=[],f=[];for(var h of this.transform.joinaggregate)b.push(h.op),f.push(this.getDefaultName(h)),a.push(void 0===h.field?null:h.field);h=this.transform.groupby;return{type:"joinaggregate",as:f,ops:b,fields:a,...(void 0!==h?{groupby:h}:{})}}}class Oi extends zf{clone(){return new Oi(null, +Ge(this._stack))}constructor(a,b){super(a);La(this,"_stack",void 0);this._stack=b}static makeFromTransform(a,b){const {stack:f,groupby:h,as:k,offset:v="zero"}=b;var K=[];const ha=[];if(void 0!==b.sort)for(const sa of b.sort)K.push(sa.field),ha.push(p(sa.order,"ascending"));K={field:K,order:ha};b=Bf(k)?k:e.isString(k)?[k,`${k}_end`]:[`${b.stack}_start`,`${b.stack}_end`];return new Oi(a,{dimensionFieldDefs:[],stackField:f,groupby:h,offset:v,sort:K,facetby:[],as:b})}static makeFromEncoding(a,b){var f= +b.stack;const {encoding:h}=b;if(!f)return null;const {groupbyChannels:k,fieldChannel:v,offset:K,impute:ha}=f;f=k.map(tb=>Pd(h[tb])).filter(tb=>!!tb);const sa=xf(b);var Va=b.encoding.order;if(e.isArray(Va)||R(Va))Va=Hc(Va);else{const tb=Va&&Va.sort&&!Va.field?Va.sort:"y"===v?"descending":"ascending";Va=sa.reduce((ac,qc)=>{ac.field.push(qc);ac.order.push(tb);return ac},{field:[],order:[]})}return new Oi(a,{dimensionFieldDefs:f,stackField:b.vgField(v),facetby:[],stackby:sa,sort:Va,offset:K,impute:ha, +as:[b.vgField(v,{suffix:"start",forAs:!0}),b.vgField(v,{suffix:"end",forAs:!0})]})}get stack(){return this._stack}addDimensions(a){this._stack.facetby.push(...a)}dependentFields(){const a=new Set;a.add(this._stack.stackField);this.getGroupbyFields().forEach(a.add,a);this._stack.facetby.forEach(a.add,a);this._stack.sort.field.forEach(a.add,a);return a}producedFields(){return new Set(this._stack.as)}hash(){return`Stack ${ya(this._stack)}`}getGroupbyFields(){const {dimensionFieldDefs:a,impute:b,groupby:f}= +this._stack;return 0h.bin?b?[wc(h,{binSuffix:"mid"})]:[wc(h,{}),wc(h,{binSuffix:"end"})]:[wc(h)]).flat():null!=f?f:[]}assemble(){const a=[],{facetby:b,dimensionFieldDefs:f,stackField:h,stackby:k,sort:v,offset:K,impute:ha,as:sa}=this._stack;if(ha)for(const Va of f){const {bandPosition:tb=.5,bin:ac}=Va;if(ac){const qc=wc(Va,{expr:"datum"}),$c=wc(Va,{expr:"datum",binSuffix:"end"});a.push({type:"formula",expr:`${tb}*${qc}+${1-tb}*${$c}`,as:wc(Va,{binSuffix:"mid",forAs:!0})})}a.push({type:"impute", +field:h,groupby:[...k,...b],key:wc(Va,{binSuffix:"mid"}),method:"value",value:0})}a.push({type:"stack",groupby:[...this.getGroupbyFields(),...b],field:h,sort:v,as:sa,offset:K});return a}}class Zj extends zf{clone(){return new Zj(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b}addDimensions(a){this.transform.groupby=ab(this.transform.groupby.concat(a),b=>b)}dependentFields(){const a=new Set;let b;(null!=(b=this.transform.groupby)?b:[]).forEach(a.add,a);let f;(null!=(f=this.transform.sort)? +f:[]).forEach(h=>a.add(h.field));this.transform.window.map(h=>h.field).filter(h=>void 0!==h).forEach(a.add,a);return a}producedFields(){return new Set(this.transform.window.map(this.getDefaultName))}getDefaultName(a){let b;return null!=(b=a.as)?b:wc(a)}hash(){return`WindowTransform ${ya(this.transform)}`}assemble(){const a=[],b=[],f=[],h=[];for(var k of this.transform.window)b.push(k.op),f.push(this.getDefaultName(k)),h.push(void 0===k.param?null:k.param),a.push(void 0===k.field?null:k.field);k=this.transform.frame; +const v=this.transform.groupby;if(k&&null===k[0]&&null===k[1]&&b.every(Va=>Ba(Va)))return{type:"joinaggregate",as:f,ops:b,fields:a,...(void 0!==v?{groupby:v}:{})};const K=[],ha=[];if(void 0!==this.transform.sort)for(var sa of this.transform.sort){K.push(sa.field);let Va;ha.push(null!=(Va=sa.order)?Va:"ascending")}sa=this.transform.ignorePeers;return{type:"window",params:h,as:f,ops:b,fields:a,sort:{field:K,order:ha},...(void 0!==sa?{ignorePeers:sa}:{}),...(void 0!==v?{groupby:v}:{}),...(void 0!==k? +{frame:k}:{})}}}class Xg{constructor(a){La(this,"signal",void 0);Object.defineProperty(this,"signal",{enumerable:!0,get:a})}static fromName(a,b){return new Xg(()=>a(b))}}class sm extends Wi{constructor(a,b){super({},{name:a});La(this,"merged",!1);this.setWithExplicit("type",b)}domainDefinitelyIncludesZero(){return!1!==this.get("zero")?!0:ib(this.get("domains"),a=>e.isArray(a)&&2===a.length&&e.isNumber(a[0])&&0>=a[0]&&e.isNumber(a[1])&&0<=a[1])}}const jn=["range","scheme"],rm={bins:a=>{let {model:b, +fieldOrDatumDef:f}=a;return R(f)?Dl(b,f):void 0},interpolate:a=>{let {channel:b,fieldOrDatumDef:f}=a;a=f.type;a=Pa(["color","fill","stroke"],b)&&"nominal"!==a?"hcl":void 0;return a},nice:a=>{let {scaleType:b,channel:f,domain:h,domainMin:k,domainMax:v,fieldOrDatumDef:K}=a;{let ha;a=(null==(ha=Pd(K))?0:ha.bin)||e.isArray(h)||null!=v||null!=k||Pa([rf.TIME,rf.UTC],b)?void 0:u(f)?!0:void 0}return a},padding:a=>{let {channel:b,scaleType:f,fieldOrDatumDef:h,markDef:k,config:v}=a;a:{a=v.scale;var K=v.bar; +if(u(b)){if(Hg.has(f)){if(void 0!==a.continuousPadding){a=a.continuousPadding;break a}const {type:ha,orient:sa}=k;if("bar"===ha&&(!R(h)||!h.bin&&!h.timeUnit)&&("vertical"===sa&&"x"===b||"horizontal"===sa&&"y"===b)){a=K.continuousBandSize;break a}}if(f===rf.POINT){a=a.pointPadding;break a}}a=void 0}return a},paddingInner:a=>{let {scalePadding:b,channel:f,markDef:h,scaleType:k,config:v,hasNestedOffsetScale:K}=a;return El(b,f,h.type,k,v.scale,K)},paddingOuter:a=>{let {scalePadding:b,channel:f,scaleType:h, +scalePaddingInner:k,config:v,hasNestedOffsetScale:K}=a;return Fl(b,f,h,k,v.scale,K)},reverse:a=>{let {fieldOrDatumDef:b,scaleType:f,channel:h,config:k}=a;a=R(b)?b.sort:void 0;var v=k.scale;a="x"===h&&void 0!==v.xReverse?Ab(f)&&"descending"===a?Kb(v.xReverse)?{signal:`!${v.xReverse.signal}`}:!v.xReverse:v.xReverse:Ab(f)&&"descending"===a?!0:void 0;return a},zero:a=>{let {channel:b,fieldOrDatumDef:f,domain:h,markDef:k,scaleType:v,config:K,hasSecondaryRangeChannel:ha}=a;a:if(a=K.scale,h&&"unaggregated"!== +h&&Ab(v)){if(e.isArray(h)){a=h[0];const sa=h[h.length-1];if(e.isNumber(a)&&0>=a&&e.isNumber(sa)&&0<=sa){a=!0;break a}}a=!1}else if("size"!==b||"quantitative"!==f.type||Wh.has(v))if(R(f)&&f.bin||!Pa([...fh,...$f],b))a=!1;else{const {orient:sa,type:Va}=k;a=Pa(["bar","area","line","trail"],Va)&&("horizontal"===sa&&"y"===b||"vertical"===sa&&"x"===b)?!1:Pa(["bar","area"],Va)&&!ha?!0:null==a?void 0:a.zero}else a=!0;return a}},kn=Og((a,b)=>Gi[a]-Gi[b]);class fm{constructor(){La(this,"nameMap",void 0);this.nameMap= +{}}rename(a,b){this.nameMap[a]=b}has(a){return void 0!==this.nameMap[a]}get(a){for(;this.nameMap[a]&&a!==this.nameMap[a];)a=this.nameMap[a];return a}}class gm{constructor(a,b,f,h,k,v,K){this.type=b;this.parent=f;this.config=k;La(this,"name",void 0);La(this,"size",void 0);La(this,"title",void 0);La(this,"description",void 0);La(this,"data",void 0);La(this,"transforms",void 0);La(this,"layout",void 0);La(this,"scaleNameMap",void 0);La(this,"projectionNameMap",void 0);La(this,"signalNameMap",void 0); +La(this,"component",void 0);La(this,"view",void 0);La(this,"children",void 0);La(this,"correctDataNames",Va=>{let tb;if(null==(tb=Va.from)?0:tb.data)Va.from.data=this.lookupDataSource(Va.from.data);let ac,qc;if(null==(ac=Va.from)?0:null==(qc=ac.facet)?0:qc.data)Va.from.facet.data=this.lookupDataSource(Va.from.facet.data);return Va});this.parent=f;this.config=k;this.view=nb(K);let ha;this.name=null!=(ha=a.name)?ha:h;this.title=ec(a.title)?{text:a.title}:a.title?nb(a.title):void 0;this.scaleNameMap= +f?f.scaleNameMap:new fm;this.projectionNameMap=f?f.projectionNameMap:new fm;this.signalNameMap=f?f.signalNameMap:new fm;this.data=a.data;this.description=a.description;let sa;this.transforms=Ii(null!=(sa=a.transform)?sa:[]);this.layout="layer"===b||"unit"===b?{}:Nf(a,b,k);this.component={data:{sources:f?f.component.data.sources:[],outputNodes:f?f.component.data.outputNodes:{},outputNodeRefCounts:f?f.component.data.outputNodeRefCounts:{},isFaceted:"facet"in a||(null==f?void 0:f.component.data.isFaceted)&& +void 0===a.data},layoutSize:new Wi,layoutHeaders:{row:{},column:{},facet:{}},mark:null,resolve:{scale:{},axis:{},legend:{},...(v?Ge(v):{})},selection:null,scales:null,projection:null,axes:{},legends:{}}}get width(){return this.getSizeSignalRef("width")}get height(){return this.getSizeSignalRef("height")}parse(){this.parseScale();this.parseLayoutSize();this.renameTopLevelLayoutSizeSignal();this.parseSelections();this.parseProjection();this.parseData();this.parseAxesAndHeaders();this.parseLegends(); +this.parseMarkGroup()}parseScale(){Gl(this)}parseProjection(){this.component.projection=Jf(this)?Jg(this):Be(this)}renameTopLevelLayoutSizeSignal(){"width"!==this.getName("width")&&this.renameSignal(this.getName("width"),"width");"height"!==this.getName("height")&&this.renameSignal(this.getName("height"),"height")}parseLegends(){Td(this)}assembleEncodeFromView(a){const {style:b,...f}=a;a={};for(const h of yd(f)){const k=f[h];void 0!==k&&(a[h]=Jb(k))}return a}assembleGroupEncodeEntry(a){let b={};this.view&& +(b=this.assembleEncodeFromView(this.view));if(!a&&(this.description&&(b.description=Jb(this.description)),"unit"===this.type||"layer"===this.type)){let f;return{width:this.getSizeSignalRef("width"),height:this.getSizeSignalRef("height"),...(null!=(f=b)?f:{})}}return $a(b)?void 0:b}assembleLayout(){if(this.layout){var {spacing:a,...b}=this.layout,{component:f,config:h}=this;var k=f.layoutHeaders;var v={};for(const ha of gh){var K=k[ha];let sa;if(null==(sa=K)?0:sa.facetFieldDef){const {titleAnchor:Va, +titleOrient:tb}=Fh(["titleAnchor","titleOrient"],K.facetFieldDef.header,h,ha);K=Th(ha,tb);const ac=tn[K][Va];void 0!==ac&&(v[K]=ac)}}k=$a(v)?void 0:v;return{padding:a,...this.assembleDefaultLayout(),...b,...(k?{titleBand:k}:{})}}}assembleDefaultLayout(){return{}}assembleHeaderMarks(){var {layoutHeaders:a}=this.component,b=[];for(var f of gh)if(a[f].title){var h=b,k=h.push;var v=this.component.layoutHeaders[f].title;var K=this.config?this.config:void 0,ha=this.component.layoutHeaders[f].facetFieldDef? +this.component.layoutHeaders[f].facetFieldDef:void 0;const {titleAnchor:Ic,titleAngle:Uc,titleOrient:xd}=Fh(["titleAnchor","titleAngle","titleOrient"],ha.header,K,f);var sa=Th(f,xd),Va=bb(Uc);v={name:`${f}-title`,type:"group",role:`${sa}-title`,title:{text:v,...("row"===f?{orient:"left"}:{}),style:"guide-title",...n(Va,sa),...Zi(sa,Va,Ic),...U(K,ha,f,nd,yc)}};k.call(h,v)}for(const Ic of bm){a=b;b=a.concat;h=this.component.layoutHeaders[Ic];k=[];for(const Uc of cm)if(h[Uc])for(const xd of h[Uc]){a:{sa= +void 0;f=Ic;v=Uc;var tb=h;if(K=xd){ha=null;({facetFieldDef:$c}=tb);Va=this.config?this.config:void 0;if($c&&K.labels){var {labelOrient:ac}=Fh(["labelOrient"],$c.header,Va,f);if("row"===f&&!Pa(["top","bottom"],ac)||"column"===f&&!Pa(["left","right"],ac))ha=N($c,f,Va)}ac=zh(this)&&!Md(this.facet);const Wc=K.axes,Cd=0<(null==Wc?void 0:Wc.length);if(ha||Cd){const Fd="row"===f?"height":"width";Va=this.getName(`${f}_${v}`);if(tb.facetFieldDef){tb={data:this.getName(`${f}_domain`)};{var qc=$c;const {sort:Kd}= +qc;var $c=Od(Kd)?{field:wc(Kd,{expr:"datum"}),order:null!=(sa=Kd.order)?sa:"ascending"}:e.isArray(Kd)?{field:Nh(qc,f,{expr:"datum"}),order:"ascending"}:{field:wc(qc,{expr:"datum"}),order:null!=Kd?Kd:"ascending"}}sa={from:tb,sort:$c}}else sa={};f={name:Va,type:"group",role:`${f}-${v}`,...sa,...(Cd&&ac?{from:{data:this.getName(`facet_domain_${f}`)}}:{}),...(ha?{title:ha}:{}),...(K.sizeSignal?{encode:{update:{[Fd]:K.sizeSignal}}}:{}),...(Cd?{axes:Wc}:{})};break a}}f=null}null!=f&&k.push(f)}b=b.call(a, +k)}return b}assembleAxes(){return Ji(this.component.axes,this.config)}assembleLegends(){return Lf(this)}assembleProjections(){var a=Ni(this)||ki(this)?Gf(this):Wf(this);return a}assembleTitle(){var a;const {encoding:b,...f}=null!=(a=this.title)?a:{};a={...bc(this.config.title).nonMarkTitleProperties,...f,...(b?{encode:{update:b}}:{})};if(a.text)return Pa(["unit","layer"],this.type)?Pa(["middle",void 0],a.anchor)&&(null!=a.frame||(a.frame="group")):null!=a.anchor||(a.anchor="start"),$a(a)?void 0:a}assembleGroup(){var a= +0f.hasOrientSignalRef()))||(null==(b=this.component.axes.y)?void 0:b.some(f=>f.hasOrientSignalRef()))}}class Em extends gm{vgField(a){let b=1(h=Pd(h))?a(f,h,k):f,b)}forEachFieldDef(a, +b){uf(this.getMapping(),(f,h)=>{(f=Pd(f))&&a(f,h)},b)}}class Jl extends zf{clone(){return new Jl(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b;this.transform=Ge(b);let f;a=null!=(f=this.transform.as)?f:[void 0,void 0];let h,k;this.transform.as=[null!=(h=a[0])?h:"value",null!=(k=a[1])?k:"density"]}dependentFields(){let a;return new Set([this.transform.density,...(null!=(a=this.transform.groupby)?a:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${ya(this.transform)}`}assemble(){const {density:a, +...b}=this.transform,f={type:"kde",field:a,...b};this.transform.groupby&&(f.resolve="shared");return f}}class Pl extends zf{clone(){return new Pl(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b;this.transform=Ge(b)}dependentFields(){return new Set([this.transform.extent])}producedFields(){return new Set([])}hash(){return`ExtentTransform ${ya(this.transform)}`}assemble(){const {extent:a,param:b}=this.transform;return{type:"extent",field:a,signal:b}}}class $k extends zf{clone(){return new $k(null, +{...this.filter})}constructor(a,b){super(a);this.filter=b}static make(a,b){const {config:f,mark:h,markDef:k}=b;if("filter"!==Ob("invalid",k,f))return null;const v=b.reduceFieldDef((K,ha,sa)=>{if(sa=!!dh[sa]&&b.getScaleComponent(sa))sa=sa.get("type"),Ab(sa)&&"count"!==ha.aggregate&&!zc(h)&&(K[ha.field]=ha);return K},{});return yd(v).length?new $k(a,v):null}dependentFields(){return new Set(yd(this.filter))}producedFields(){return new Set}hash(){return`FilterInvalid ${ya(this.filter)}`}assemble(){const a= +yd(this.filter).reduce((b,f)=>{f=this.filter[f];const h=wc(f,{expr:"datum"});null!==f&&("temporal"===f.type?b.push(`(isDate(${h}) || (isValid(${h}) && isFinite(+${h})))`):"quantitative"===f.type&&(b.push(`isValid(${h})`),b.push(`isFinite(+${h})`)));return b},[]);return 0{let K;return null!=(K=h[v])?K:k})}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${ya(this.transform)}`}assemble(){const {flatten:a,as:b}=this.transform;return{type:"flatten",fields:a,as:b}}}class Hl extends zf{clone(){return new Hl(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b;this.transform=Ge(b);let f;a=null!=(f=this.transform.as)?f:[void 0,void 0];let h, +k;this.transform.as=[null!=(h=a[0])?h:"key",null!=(k=a[1])?k:"value"]}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${ya(this.transform)}`}assemble(){const {fold:a,as:b}=this.transform;return{type:"fold",fields:a,as:b}}}class ik extends zf{clone(){return new ik(null,Ge(this.fields),this.geojson,this.signal)}static parseAll(a,b){if(b.component.projection&&!b.component.projection.isFit)return a;let f=0;for(var h of[["longitude", +"latitude"],["longitude2","latitude2"]]){const k=h.map(v=>{v=Qd(b.encoding[v]);return R(v)?v.field:Xa(v)?{expr:`${v.datum}`}:Pc(v)?{expr:`${v.value}`}:void 0});if(k[0]||k[1])a=new ik(a,k,null,b.getName(`geojson_${f++}`))}b.channelHasField("shape")&&(h=b.typedFieldDef("shape"),"geojson"===h.type&&(a=new ik(a,null,h.field,b.getName(`geojson_${f++}`))));return a}constructor(a,b,f,h){super(a);this.fields=b;this.geojson=f;this.signal=h}dependentFields(){let a;const b=(null!=(a=this.fields)?a:[]).filter(e.isString); +return new Set([...(this.geojson?[this.geojson]:[]),...b])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${ya(this.fields)}`}assemble(){return[...(this.geojson?[{type:"filter",expr:`isValid(datum["${this.geojson}"])`}]:[]),{type:"geojson",...(this.fields?{fields:this.fields}:{}),...(this.geojson?{geojson:this.geojson}:{}),signal:this.signal}]}}class al extends zf{clone(){return new al(null,this.projection,Ge(this.fields),Ge(this.as))}constructor(a,b,f,h){super(a); +this.projection=b;this.fields=f;this.as=h}static parseAll(a,b){if(!b.projectionName())return a;for(const f of[["longitude","latitude"],["longitude2","latitude2"]]){const h=f.map(v=>{v=Qd(b.encoding[v]);return R(v)?v.field:Xa(v)?{expr:`${v.datum}`}:Pc(v)?{expr:`${v.value}`}:void 0}),k="longitude2"===f[0]?"2":"";if(h[0]||h[1])a=new al(a,b.projectionName(),h,[b.getName(`x${k}`),b.getName(`y${k}`)])}return a}dependentFields(){return new Set(this.fields.filter(e.isString))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${ya(this.fields)} ${ya(this.as)}`}assemble(){return{type:"geopoint", +projection:this.projection,fields:this.fields,as:this.as}}}class Ij extends zf{clone(){return new Ij(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b}dependentFields(){let a;return new Set([this.transform.impute,this.transform.key,...(null!=(a=this.transform.groupby)?a:[])])}producedFields(){return new Set([this.transform.impute])}processSequence(a){const {start:b=0,stop:f,step:h}=a;return{signal:`sequence(${[b,f,...(h?[h]:[])].join()})`}}static makeFromTransform(a,b){return new Ij(a, +b)}static makeFromEncoding(a,b){const f=b.encoding;var h=f.x;const k=f.y;if(R(h)&&R(k)){const v=h.impute?h:k.impute?k:void 0;if(void 0===v)return;h=h.impute?k:k.impute?h:void 0;const {method:K,value:ha,frame:sa,keyvals:Va}=v.impute;b=Dg(b.mark,f);return new Ij(a,{impute:v.field,key:h.field,...(K?{method:K}:{}),...(void 0!==ha?{value:ha}:{}),...(sa?{frame:sa}:{}),...(void 0!==Va?{keyvals:Va}:{}),...(b.length?{groupby:b}:{})})}return null}hash(){return`Impute ${ya(this.transform)}`}assemble(){const {impute:a, +key:b,keyvals:f,method:h,groupby:k,value:v,frame:K=[null,null]}=this.transform;var ha=f?{keyvals:void 0!==(null==f?void 0:f.stop)?this.processSequence(f):f}:{};ha={type:"impute",field:a,key:b,...ha,method:"value",...(k?{groupby:k}:{}),value:h&&"value"!==h?null:v};return h&&"value"!==h?[ha,{type:"window",as:[`imputed_${a}_value`],ops:[h],fields:[a],frame:K,ignorePeers:!1,...(k?{groupby:k}:{})},{type:"formula",expr:`datum.${a} === null ? datum.imputed_${a}_value : datum.${a}`,as:a}]:[ha]}}class Kl extends zf{clone(){return new Kl(null, +Ge(this.transform))}constructor(a,b){super(a);this.transform=b;this.transform=Ge(b);let f;a=null!=(f=this.transform.as)?f:[void 0,void 0];let h,k;this.transform.as=[null!=(h=a[0])?h:b.on,null!=(k=a[1])?k:b.loess]}dependentFields(){let a;return new Set([this.transform.loess,this.transform.on,...(null!=(a=this.transform.groupby)?a:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`LoessTransform ${ya(this.transform)}`}assemble(){const {loess:a,on:b,...f}=this.transform;return{type:"loess", +x:b,y:a,...f}}}class bl extends zf{clone(){return new bl(null,Ge(this.transform),this.secondary)}constructor(a,b,f){super(a);this.transform=b;this.secondary=f}static make(a,b,f,h){const k=b.component.data.sources,{from:v}=f;var K=null;if("data"in v)K=Ci(v.data,k),K||(K=new fj(v.data),k.push(K)),h=b.getName(`lookup_${h}`),K=new mh(K,h,Zf.Lookup,b.component.data.outputNodeRefCounts),b.component.data.outputNodes[h]=K;else if("param"in v){h=v.param;f={as:h,...f};let ha;try{ha=b.getSelectionComponent(ka(h), +h)}catch(sa){throw Error(`Lookups can only be performed on selection parameters. "${h}" is a variable parameter.`);}K=ha.materialized;if(!K)throw Error(`Cannot define and lookup the "${h}" selection in the same view. `+"Try moving the lookup into a second, layered view?");}return new bl(a,f,K.getSource())}dependentFields(){return new Set([this.transform.lookup])}producedFields(){return new Set(this.transform.as?e.array(this.transform.as):this.transform.from.fields)}hash(){return`Lookup ${ya({transform:this.transform, +secondary:this.secondary})}`}assemble(){if(this.transform.from.fields)var a={values:this.transform.from.fields,...(this.transform.as?{as:e.array(this.transform.as)}:{})};else a=this.transform.as,e.isString(a)||(Ac('If "from.fields" is not specified, "as" has to be a string that specifies the key to be used for the data from the secondary source.'),a="_lookup"),a={as:[a]};return{type:"lookup",from:this.secondary,key:this.transform.from.key,fields:[this.transform.lookup],...a,...(this.transform.default? +{default:this.transform.default}:{})}}}class Ll extends zf{clone(){return new Ll(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b;this.transform=Ge(b);let f;a=null!=(f=this.transform.as)?f:[void 0,void 0];let h,k;this.transform.as=[null!=(h=a[0])?h:"prob",null!=(k=a[1])?k:"value"]}dependentFields(){let a;return new Set([this.transform.quantile,...(null!=(a=this.transform.groupby)?a:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`QuantileTransform ${ya(this.transform)}`}assemble(){const {quantile:a, +...b}=this.transform;return{type:"quantile",field:a,...b}}}class Ml extends zf{clone(){return new Ml(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b;this.transform=Ge(b);let f;a=null!=(f=this.transform.as)?f:[void 0,void 0];let h,k;this.transform.as=[null!=(h=a[0])?h:b.on,null!=(k=a[1])?k:b.regression]}dependentFields(){let a;return new Set([this.transform.regression,this.transform.on,...(null!=(a=this.transform.groupby)?a:[])])}producedFields(){return new Set(this.transform.as)}hash(){return`RegressionTransform ${ya(this.transform)}`}assemble(){const {regression:a, +on:b,...f}=this.transform;return{type:"regression",x:b,y:a,...f}}}class Ol extends zf{clone(){return new Ol(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b}addDimensions(a){let b;this.transform.groupby=ab((null!=(b=this.transform.groupby)?b:[]).concat(a),f=>f)}producedFields(){}dependentFields(){let a;return new Set([this.transform.pivot,this.transform.value,...(null!=(a=this.transform.groupby)?a:[])])}hash(){return`PivotTransform ${ya(this.transform)}`}assemble(){const {pivot:a, +value:b,groupby:f,limit:h,op:k}=this.transform;return{type:"pivot",field:a,value:b,...(void 0!==h?{limit:h}:{}),...(void 0!==k?{op:k}:{}),...(void 0!==f?{groupby:f}:{})}}}class Nl extends zf{clone(){return new Nl(null,Ge(this.transform))}constructor(a,b){super(a);this.transform=b}dependentFields(){return new Set}producedFields(){return new Set}hash(){return`SampleTransform ${ya(this.transform)}`}assemble(){return{type:"sample",size:this.transform.sample}}}class il extends Em{constructor(a,b,f,h){super(a, +"facet",b,f,h,a.resolve);La(this,"facet",void 0);La(this,"child",void 0);La(this,"children",void 0);this.child=Ti(a.spec,this,this.getName("child"),void 0,h);this.children=[this.child];this.facet=this.initFacet(a.facet)}initFacet(a){if(!Md(a))return{facet:this.initFacetFieldDef(a,"facet")};var b=yd(a);const f={};for(const h of b){if(!["row","column"].includes(h)){Ac(vd(h,"facet"));break}b=a[h];if(void 0===b.field){Ac(Mc(b,h));break}f[h]=this.initFacetFieldDef(b,h)}return f}initFacetFieldDef(a,b){a= +Xd(a,b);a.header?a.header=nb(a.header):null===a.header&&(a.header=null);return a}channelHasField(a){return!!this.facet[a]}fieldDef(a){return this.facet[a]}parseData(){this.component.data=ni(this);this.child.parseData()}parseLayoutSize(){Kj(this)}parseSelections(){this.child.parseSelections();this.component.selection=this.child.component.selection}parseMarkGroup(){this.child.parseMarkGroup()}parseAxesAndHeaders(){this.child.parseAxesAndHeaders();for(const f of gh){var a=void 0;const {facet:h,config:k, +child:v,component:K}=this;if(this.channelHasField(f)){const ha=h[f];var b=kh("title",null,k,f);b=Ld(ha,k,{allowDisabling:!0,includeDefault:void 0===b||!!b});v.component.layoutHeaders[f].title&&(b=e.isArray(b)?b.join(", "):b,b+=` / ${v.component.layoutHeaders[f].title}`,v.component.layoutHeaders[f].title=null);const sa=kh("labelOrient",ha.header,k,f),Va=null!==ha.header?p(null==(a=ha.header)?void 0:a.labels,k.header.labels,!0):!1;a=Pa(["bottom","right"],sa)?"footer":"header";K.layoutHeaders[f]={title:null!== +ha.header?b:null,facetFieldDef:ha,[a]:"facet"===f?[]:[Jj(this,f,Va)]}}}jk(this,"x");jk(this,"y")}assembleSelectionTopLevelSignals(a){return this.child.assembleSelectionTopLevelSignals(a)}assembleSignals(){this.child.assembleSignals();return[]}assembleSelectionData(a){return this.child.assembleSelectionData(a)}getHeaderLayoutMixins(){const a={};for(const h of gh)for(const k of cm){const v=this.component.layoutHeaders[h];var b=v[k],{facetFieldDef:f}=v;if(f&&(f=kh("titleOrient",f.header,this.config, +h),["right","bottom"].includes(f))){f=Th(h,f);let ha;null!=(ha=a).titleAnchor||(ha.titleAnchor={});a.titleAnchor[f]="end"}let K;if(null==(K=b)?0:K[0]){b="row"===h?"height":"width";f="header"===k?"headerBand":"footerBand";if("facet"!==h&&!this.child.component.layoutSize.get(b)){let ha,sa;null!=(ha=a)[sa=f]||(ha[sa]={});a[f][h]=.5}if(v.title){let ha;null!=(ha=a).offset||(ha.offset={});a.offset["row"===h?"rowTitle":"columnTitle"]=10}}}return a}assembleDefaultLayout(){const {column:a,row:b}=this.facet, +f=a?this.columnDistinctSignal():b?1:void 0;let h="all";b||"independent"!==this.component.resolve.scale.x?a||"independent"!==this.component.resolve.scale.y||(h="none"):h="none";return{...this.getHeaderLayoutMixins(),...(f?{columns:f}:{}),bounds:"full",align:h}}assembleLayoutSignals(){return this.child.assembleLayoutSignals()}columnDistinctSignal(){if(!(this.parent&&this.parent instanceof il))return{signal:`length(data('${this.getName("column_domain")}'))`}}assembleGroupStyle(){}assembleGroup(a){return this.parent&& +this.parent instanceof il?{...(this.channelHasField("column")?{encode:{update:{columns:{field:wc(this.facet.column,{prefix:"distinct"})}}}}:{}),...super.assembleGroup(a)}:super.assembleGroup(a)}getCardinalityAggregateForChild(){const a=[],b=[],f=[];if(this.child instanceof il){if(this.child.channelHasField("column")){var h=wc(this.child.facet.column);a.push(h);b.push("distinct");f.push(`distinct_${h}`)}}else for(h of fh){var k=this.child.component.scales[h];if(k&&!k.merged){var v=k.get("type");k= +k.get("range");qb(v)&&kc(k)&&(v=Gj(this.child,h),(v=ck(v))?(a.push(v),b.push("distinct"),f.push(`distinct_${v}`)):Ac(Ya(h)))}}return{fields:a,ops:b,as:f}}assembleFacet(){const {name:a,data:b}=this.component.data.facetRoot,{row:f,column:h}=this.facet,{fields:k,ops:v,as:K}=this.getCardinalityAggregateForChild(),ha=[];for(var sa of gh){var Va=this.facet[sa];if(Va){ha.push(wc(Va));const {bin:tb,sort:ac}=Va;eb(tb)&&ha.push(wc(Va,{binSuffix:"end"}));if(Od(ac)){const {field:qc,op:$c="min"}=ac;Va=kk(Va,ac); +f&&h?(k.push(Va),v.push("max")):(k.push(qc),v.push($c));K.push(Va)}else e.isArray(ac)&&(Va=Nh(Va,sa),k.push(Va),v.push("max"),K.push(Va))}}sa=!!f&&!!h;return{name:a,data:b,groupby:ha,...(sa||0this.facetSortFields(v)).flat(),order:gh.map(v=>this.facetSortOrder(v)).flat()},...(0Ti(sa,this,this.getName(`concat_${Va}`),void 0,h))}parseData(){this.component.data=ni(this);for(const a of this.children)a.parseData()}parseSelections(){this.component.selection={};for(const a of this.children){a.parseSelections();for(const b of yd(a.component.selection))this.component.selection[b]= +a.component.selection[b]}}parseMarkGroup(){for(const a of this.children)a.parseMarkGroup()}parseAxesAndHeaders(){for(const a of this.children)a.parseAxesAndHeaders()}getChildren(a){return"vconcat"in a?a.vconcat:"hconcat"in a?a.hconcat:a.concat}parseLayoutSize(){Kj(this);const a=void 0===this.layout.columns?"height":"childHeight";Yg(this,1===this.layout.columns?"width":"childWidth");Yg(this,a)}parseAxisGroup(){return null}assembleSelectionTopLevelSignals(a){return this.children.reduce((b,f)=>f.assembleSelectionTopLevelSignals(b), +a)}assembleSignals(){this.children.forEach(a=>a.assembleSignals());return[]}assembleLayoutSignals(){const a=Ga(this);for(const b of this.children)a.push(...b.assembleLayoutSignals());return a}assembleSelectionData(a){return this.children.reduce((b,f)=>f.assembleSelectionData(b),a)}assembleMarks(){return this.children.map(a=>{const b=a.assembleTitle(),f=a.assembleGroupStyle(),h=a.assembleGroupEncodeEntry(!1);return{type:"group",name:a.getName("group"),...(b?{title:b}:{}),...(f?{style:f}:{}),...(h? +{encode:{update:h}}:{}),...a.assembleGroup()}})}assembleGroupStyle(){}assembleDefaultLayout(){const a=this.layout.columns;return{...(null!=a?{columns:a}:{}),bounds:"full",align:"each"}}}const tm=yd({disable:1,gridScale:1,scale:1,...xc,labelExpr:1,encode:1});class um extends Wi{constructor(){let a=0({...ig(a,{align:"ignore", +baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...Vc("x",a,{defaultPos:"mid"}),...Vc("y",a,{defaultPos:"mid"}),...df(a,"radius"),...df(a,"theta")})},area:{vgMark:"area",encodeEntry:a=>({...ig(a,{align:"ignore",baseline:"ignore",color:"include",orient:"include",size:"ignore",theta:"ignore"}),...Ie("x",a,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:"horizontal"===a.markDef.orient}),...Ie("y",a,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:"vertical"=== +a.markDef.orient}),...wg(a)})},bar:{vgMark:"rect",encodeEntry:a=>({...ig(a,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...df(a,"x"),...df(a,"y")})},circle:{vgMark:"symbol",encodeEntry:a=>nj(a,"circle")},geoshape:{vgMark:"shape",encodeEntry:a=>({...ig(a,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"})}),postEncodingTransform:a=>{var {encoding:b}=a;b=b.shape;return[{type:"geoshape",projection:a.projectionName(), +...(b&&R(b)&&"geojson"===b.type?{field:wc(b,{expr:"datum"})}:{})}]}},image:{vgMark:"image",encodeEntry:a=>({...ig(a,{align:"ignore",baseline:"ignore",color:"ignore",orient:"ignore",size:"ignore",theta:"ignore"}),...df(a,"x"),...df(a,"y"),...A(a,"url")})},line:{vgMark:"line",encodeEntry:a=>({...ig(a,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...Vc("x",a,{defaultPos:"mid"}),...Vc("y",a,{defaultPos:"mid"}),...lc("size",a,{vgChannel:"strokeWidth"}), +...wg(a)})},point:{vgMark:"symbol",encodeEntry:a=>nj(a)},rect:{vgMark:"rect",encodeEntry:a=>({...ig(a,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...df(a,"x"),...df(a,"y")})},rule:{vgMark:"rule",encodeEntry:a=>{var {markDef:b}=a;b=b.orient;return a.encoding.x||a.encoding.y||a.encoding.latitude||a.encoding.longitude?{...ig(a,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...Ie("x",a,{defaultPos:"horizontal"=== +b?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:"vertical"!==b}),...Ie("y",a,{defaultPos:"vertical"===b?"zeroOrMax":"mid",defaultPos2:"zeroOrMin",range:"horizontal"!==b}),...lc("size",a,{vgChannel:"strokeWidth"})}:{}}},square:{vgMark:"symbol",encodeEntry:a=>nj(a,"square")},text:{vgMark:"text",encodeEntry:a=>{var {config:b}=a,f={...ig(a,{align:"include",baseline:"include",color:"include",size:"ignore",orient:"ignore",theta:"include"})},h={...Vc("x",a,{defaultPos:"mid"})},k={...Vc("y",a,{defaultPos:"mid"})}, +v={...A(a)},K={...lc("size",a,{vgChannel:"fontSize"})},ha={...lc("angle",a)};var sa=void 0===Ob("align",a.markDef,b)?"center":void 0;sa={...nf("align",sa)};b=void 0===Ob("baseline",a.markDef,b)?"middle":void 0;return{...f,...h,...k,...v,...K,...ha,...sa,...nf("baseline",b),...Vc("radius",a,{defaultPos:null}),...Vc("theta",a,{defaultPos:null})}}},tick:{vgMark:"rect",encodeEntry:a=>{const {config:b,markDef:f}=a;var h=f.orient;const k="horizontal"===h?"width":"height";h="horizontal"===h?"height":"width"; +var v={...ig(a,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"})},K={...Vc("x",a,{defaultPos:"mid",vgChannel:"xc"})},ha={...Vc("y",a,{defaultPos:"mid",vgChannel:"yc"})};{const {config:ac,markDef:qc}=a;var {orient:sa}=qc;var Va="horizontal"===sa?"width":"height";sa=a.getScaleComponent("horizontal"===sa?"x":"y");var tb;const $c=null!=(tb=Ob("size",qc,ac,{vgChannel:Va}))?tb:ac.tick.bandSize;Va=void 0!==$c?$c:(tb=sa?sa.get("range"):void 0)&&kc(tb)&&e.isNumber(tb.step)? 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перейтипонавигационнойссылке переместитьфайл подключитьвнешнююкомпоненту подключитьобработчикзапросанастроекклиенталицензирования подключитьобработчикожидания подключитьобработчикоповещения подключитьрасширениеработыскриптографией подключитьрасширениеработысфайлами подробноепредставлениеошибки показатьвводдаты показатьвводзначения показатьвводстроки показатьвводчисла показатьвопрос показатьзначение показатьинформациюобошибке показатьнакарте показатьоповещениепользователя показатьпредупреждение полноеимяпользователя получитьcomобъект получитьxmlтип получитьадреспоместоположению получитьблокировкусеансов получитьвремязавершенияспящегосеанса получитьвремязасыпанияпассивногосеанса получитьвремяожиданияблокировкиданных получитьданныевыбора получитьдополнительныйпараметрклиенталицензирования получитьдопустимыекодылокализации получитьдопустимыечасовыепояса получитьзаголовокклиентскогоприложения получитьзаголовоксистемы получитьзначенияотборажурналарегистрации получитьидентификаторконфигурации получитьизвременногохранилища получитьимявременногофайла получитьимяклиенталицензирования получитьинформациюэкрановклиента получитьиспользованиежурналарегистрации получитьиспользованиесобытияжурналарегистрации получитькраткийзаголовокприложения получитьмакетоформления получитьмаскувсефайлы получитьмаскувсефайлыклиента получитьмаскувсефайлысервера получитьместоположениепоадресу получитьминимальнуюдлинупаролейпользователей получитьнавигационнуюссылку получитьнавигационнуюссылкуинформационнойбазы получитьобновлениеконфигурациибазыданных получитьобновлениепредопределенныхданныхинформационнойбазы получитьобщиймакет получитьобщуюформу получитьокна получитьоперативнуюотметкувремени получитьотключениебезопасногорежима получитьпараметрыфункциональныхопцийинтерфейса получитьполноеимяпредопределенногозначения получитьпредставлениянавигационныхссылок получитьпроверкусложностипаролейпользователей получитьразделительпути получитьразделительпутиклиента получитьразделительпутисервера получитьсеансыинформационнойбазы получитьскоростьклиентскогосоединения получитьсоединенияинформационнойбазы получитьсообщенияпользователю получитьсоответствиеобъектаиформы получитьсоставстандартногоинтерфейсаodata получитьструктурухранениябазыданных получитьтекущийсеансинформационнойбазы получитьфайл получитьфайлы получитьформу получитьфункциональнуюопцию получитьфункциональнуюопциюинтерфейса получитьчасовойпоясинформационнойбазы пользователиос поместитьвовременноехранилище поместитьфайл поместитьфайлы прав праводоступа предопределенноезначение представлениекодалокализации представлениепериода представлениеправа представлениеприложения представлениесобытияжурналарегистрации представлениечасовогопояса предупреждение прекратитьработусистемы привилегированныйрежим продолжитьвызов прочитатьjson прочитатьxml прочитатьдатуjson пустаястрока рабочийкаталогданныхпользователя разблокироватьданныедляредактирования разделитьфайл разорватьсоединениесвнешнимисточникомданных раскодироватьстроку рольдоступна секунда сигнал символ скопироватьжурналрегистрации смещениелетнеговремени смещениестандартноговремени соединитьбуферыдвоичныхданных создатькаталог создатьфабрикуxdto сокрл сокрлп сокрп сообщить состояние сохранитьзначение сохранитьнастройкипользователя сред стрдлина стрзаканчиваетсяна стрзаменить стрнайти стрначинаетсяс строка строкасоединенияинформационнойбазы стрполучитьстроку стрразделить стрсоединить стрсравнить стрчисловхождений стрчислострок стршаблон текущаядата текущаядатасеанса текущаяуниверсальнаядата текущаяуниверсальнаядатавмиллисекундах текущийвариантинтерфейсаклиентскогоприложения текущийвариантосновногошрифтаклиентскогоприложения текущийкодлокализации текущийрежимзапуска текущийязык текущийязыксистемы тип типзнч транзакцияактивна трег удалитьданныеинформационнойбазы удалитьизвременногохранилища удалитьобъекты удалитьфайлы универсальноевремя установитьбезопасныйрежим установитьбезопасныйрежимразделенияданных установитьблокировкусеансов установитьвнешнююкомпоненту установитьвремязавершенияспящегосеанса установитьвремязасыпанияпассивногосеанса установитьвремяожиданияблокировкиданных установитьзаголовокклиентскогоприложения установитьзаголовоксистемы установитьиспользованиежурналарегистрации установитьиспользованиесобытияжурналарегистрации установитькраткийзаголовокприложения установитьминимальнуюдлинупаролейпользователей установитьмонопольныйрежим установитьнастройкиклиенталицензирования установитьобновлениепредопределенныхданныхинформационнойбазы установитьотключениебезопасногорежима установитьпараметрыфункциональныхопцийинтерфейса установитьпривилегированныйрежим установитьпроверкусложностипаролейпользователей установитьрасширениеработыскриптографией установитьрасширениеработысфайлами установитьсоединениесвнешнимисточникомданных установитьсоответствиеобъектаиформы установитьсоставстандартногоинтерфейсаodata установитьчасовойпоясинформационнойбазы установитьчасовойпояссеанса формат цел час часовойпояс часовойпояссеанса число числопрописью этоадресвременногохранилища wsссылки библиотекакартинок библиотекамакетовоформлениякомпоновкиданных библиотекастилей бизнеспроцессы внешниеисточникиданных внешниеобработки внешниеотчеты встроенныепокупки главныйинтерфейс главныйстиль документы доставляемыеуведомления журналыдокументов задачи информацияобинтернетсоединении использованиерабочейдаты историяработыпользователя константы критерииотбора метаданные обработки отображениерекламы отправкадоставляемыхуведомлений отчеты панельзадачос параметрзапуска параметрысеанса перечисления планывидоврасчета планывидовхарактеристик планыобмена планысчетов полнотекстовыйпоиск пользователиинформационнойбазы последовательности проверкавстроенныхпокупок рабочаядата расширенияконфигурации регистрыбухгалтерии регистрынакопления регистрырасчета регистрысведений регламентныезадания сериализаторxdto справочники средствагеопозиционирования средствакриптографии средствамультимедиа средстваотображениярекламы средствапочты средствателефонии фабрикаxdto файловыепотоки фоновыезадания хранилищанастроек хранилищевариантовотчетов хранилищенастроекданныхформ хранилищеобщихнастроек хранилищепользовательскихнастроекдинамическихсписков хранилищепользовательскихнастроекотчетов хранилищесистемныхнастроек ", +class:"webцвета windowsцвета windowsшрифты библиотекакартинок рамкистиля символы цветастиля шрифтыстиля автоматическоесохранениеданныхформывнастройках автонумерациявформе автораздвижениесерий анимациядиаграммы вариантвыравниванияэлементовизаголовков вариантуправлениявысотойтаблицы вертикальнаяпрокруткаформы вертикальноеположение вертикальноеположениеэлемента видгруппыформы виддекорацииформы виддополненияэлементаформы видизмененияданных видкнопкиформы видпереключателя видподписейкдиаграмме видполяформы видфлажка влияниеразмеранапузырекдиаграммы горизонтальноеположение горизонтальноеположениеэлемента группировкаколонок группировкаподчиненныхэлементовформы группыиэлементы действиеперетаскивания дополнительныйрежимотображения допустимыедействияперетаскивания интервалмеждуэлементамиформы использованиевывода использованиеполосыпрокрутки используемоезначениеточкибиржевойдиаграммы историявыборапривводе источникзначенийоситочекдиаграммы источникзначенияразмерапузырькадиаграммы категориягруппыкоманд максимумсерий начальноеотображениедерева начальноеотображениесписка обновлениетекстаредактирования ориентациядендрограммы ориентациядиаграммы ориентацияметокдиаграммы ориентацияметоксводнойдиаграммы ориентацияэлементаформы отображениевдиаграмме отображениевлегендедиаграммы отображениегруппыкнопок отображениезаголовкашкалыдиаграммы отображениезначенийсводнойдиаграммы отображениезначенияизмерительнойдиаграммы отображениеинтерваладиаграммыганта отображениекнопки отображениекнопкивыбора отображениеобсужденийформы отображениеобычнойгруппы отображениеотрицательныхзначенийпузырьковойдиаграммы отображениепанелипоиска отображениеподсказки отображениепредупрежденияприредактировании 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типлиниидиаграммы типмаркерагеографическойсхемы типмаркерадиаграммы типобластиоформления типорганизацииисточникаданныхгеографическойсхемы типотображениясериислоягеографическойсхемы типотображенияточечногообъектагеографическойсхемы типотображенияшкалыэлементалегендыгеографическойсхемы типпоискаобъектовгеографическойсхемы типпроекциигеографическойсхемы типразмещенияизмерений типразмещенияреквизитовизмерений типрамкиэлементауправления типсводнойдиаграммы типсвязидиаграммыганта типсоединениязначенийпосериямдиаграммы типсоединенияточекдиаграммы типсоединительнойлинии типстороныэлементаграфическойсхемы типформыотчета типшкалырадарнойдиаграммы факторлиниитрендадиаграммы фигуракнопки фигурыграфическойсхемы фиксациявтаблице форматдняшкалывремени форматкартинки ширинаподчиненныхэлементовформы виддвижениябухгалтерии виддвижениянакопления видпериодарегистрарасчета видсчета видточкимаршрутабизнеспроцесса использованиеагрегатарегистранакопления использованиегруппиэлементов 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audio_emitter_get_listener_mask audio_emitter_get_pitch audio_emitter_get_vx audio_emitter_get_vy audio_emitter_get_vz audio_emitter_get_x audio_emitter_get_y audio_emitter_get_z audio_emitter_pitch audio_emitter_position audio_emitter_set_listener_mask audio_emitter_velocity audio_exists audio_falloff_set_model audio_free_buffer_sound audio_free_play_queue audio_get_listener_count audio_get_listener_info audio_get_listener_mask audio_get_master_gain audio_get_name audio_get_recorder_count audio_get_recorder_info audio_get_type audio_group_is_loaded audio_group_load audio_group_load_progress audio_group_name audio_group_set_gain audio_group_stop_all audio_group_unload audio_is_paused audio_is_playing audio_listener_get_data audio_listener_orientation audio_listener_position audio_listener_set_orientation audio_listener_set_position audio_listener_set_velocity audio_listener_velocity audio_master_gain audio_music_gain audio_music_is_playing audio_pause_all audio_pause_music audio_pause_sound audio_pause_sync_group audio_play_in_sync_group audio_play_music audio_play_sound audio_play_sound_at audio_play_sound_on audio_queue_sound audio_resume_all audio_resume_music audio_resume_sound audio_resume_sync_group audio_set_listener_mask audio_set_master_gain audio_sound_gain audio_sound_get_gain audio_sound_get_listener_mask audio_sound_get_pitch audio_sound_get_track_position audio_sound_length audio_sound_pitch audio_sound_set_listener_mask audio_sound_set_track_position audio_start_recording audio_start_sync_group audio_stop_all audio_stop_music audio_stop_recording audio_stop_sound audio_stop_sync_group audio_sync_group_debug audio_sync_group_get_track_pos audio_sync_group_is_playing audio_system background_get_height background_get_width base64_decode base64_encode browser_input_capture buffer_async_group_begin buffer_async_group_end buffer_async_group_option buffer_base64_decode buffer_base64_decode_ext buffer_base64_encode buffer_copy buffer_copy_from_vertex_buffer buffer_create buffer_create_from_vertex_buffer buffer_create_from_vertex_buffer_ext buffer_delete buffer_exists buffer_fill buffer_get_address buffer_get_alignment buffer_get_size buffer_get_surface buffer_get_type buffer_load buffer_load_async buffer_load_ext buffer_load_partial buffer_md5 buffer_peek buffer_poke buffer_read buffer_resize buffer_save buffer_save_async buffer_save_ext buffer_seek buffer_set_surface buffer_sha1 buffer_sizeof buffer_tell buffer_write camera_apply camera_create camera_create_view camera_destroy camera_get_active camera_get_begin_script camera_get_default camera_get_end_script camera_get_proj_mat camera_get_update_script camera_get_view_angle camera_get_view_border_x camera_get_view_border_y camera_get_view_height camera_get_view_mat camera_get_view_speed_x camera_get_view_speed_y camera_get_view_target camera_get_view_width camera_get_view_x camera_get_view_y camera_set_begin_script camera_set_default camera_set_end_script camera_set_proj_mat camera_set_update_script camera_set_view_angle camera_set_view_border camera_set_view_mat camera_set_view_pos camera_set_view_size camera_set_view_speed camera_set_view_target ceil choose chr clamp clickable_add clickable_add_ext clickable_change clickable_change_ext clickable_delete clickable_exists clickable_set_style clipboard_get_text clipboard_has_text clipboard_set_text cloud_file_save cloud_string_save cloud_synchronise code_is_compiled collision_circle collision_circle_list collision_ellipse collision_ellipse_list collision_line collision_line_list collision_point collision_point_list collision_rectangle collision_rectangle_list color_get_blue color_get_green color_get_hue color_get_red color_get_saturation color_get_value colour_get_blue colour_get_green colour_get_hue colour_get_red colour_get_saturation colour_get_value cos darccos darcsin darctan darctan2 date_compare_date date_compare_datetime date_compare_time date_create_datetime date_current_datetime date_date_of date_date_string date_datetime_string date_day_span date_days_in_month date_days_in_year date_get_day date_get_day_of_year date_get_hour date_get_hour_of_year date_get_minute date_get_minute_of_year date_get_month date_get_second date_get_second_of_year date_get_timezone date_get_week date_get_weekday date_get_year date_hour_span date_inc_day date_inc_hour date_inc_minute date_inc_month date_inc_second date_inc_week date_inc_year date_is_today date_leap_year date_minute_span date_month_span date_second_span date_set_timezone date_time_of date_time_string date_valid_datetime date_week_span date_year_span dcos debug_event debug_get_callstack degtorad device_get_tilt_x device_get_tilt_y device_get_tilt_z device_is_keypad_open device_mouse_check_button device_mouse_check_button_pressed device_mouse_check_button_released device_mouse_dbclick_enable device_mouse_raw_x device_mouse_raw_y device_mouse_x device_mouse_x_to_gui device_mouse_y device_mouse_y_to_gui directory_create directory_destroy directory_exists display_get_dpi_x display_get_dpi_y display_get_gui_height display_get_gui_width display_get_height display_get_orientation display_get_sleep_margin display_get_timing_method display_get_width display_mouse_get_x display_mouse_get_y display_mouse_set display_reset display_set_gui_maximise display_set_gui_maximize display_set_gui_size display_set_sleep_margin display_set_timing_method display_set_ui_visibility distance_to_object distance_to_point dot_product dot_product_3d dot_product_3d_normalised dot_product_3d_normalized dot_product_normalised dot_product_normalized draw_arrow draw_background draw_background_ext draw_background_part_ext draw_background_tiled draw_button draw_circle draw_circle_color draw_circle_colour draw_clear draw_clear_alpha draw_ellipse draw_ellipse_color draw_ellipse_colour draw_enable_alphablend draw_enable_drawevent draw_enable_swf_aa draw_flush draw_get_alpha draw_get_color draw_get_colour draw_get_lighting draw_get_swf_aa_level draw_getpixel draw_getpixel_ext draw_healthbar draw_highscore draw_light_define_ambient draw_light_define_direction draw_light_define_point draw_light_enable draw_light_get draw_light_get_ambient draw_line draw_line_color draw_line_colour draw_line_width draw_line_width_color draw_line_width_colour draw_path draw_point draw_point_color draw_point_colour draw_primitive_begin draw_primitive_begin_texture draw_primitive_end draw_rectangle draw_rectangle_color draw_rectangle_colour draw_roundrect draw_roundrect_color draw_roundrect_color_ext draw_roundrect_colour draw_roundrect_colour_ext draw_roundrect_ext draw_self draw_set_alpha draw_set_alpha_test draw_set_alpha_test_ref_value draw_set_blend_mode draw_set_blend_mode_ext draw_set_circle_precision draw_set_color draw_set_color_write_enable draw_set_colour draw_set_font draw_set_halign draw_set_lighting draw_set_swf_aa_level draw_set_valign draw_skeleton draw_skeleton_collision draw_skeleton_instance draw_skeleton_time draw_sprite draw_sprite_ext draw_sprite_general draw_sprite_part draw_sprite_part_ext draw_sprite_pos draw_sprite_stretched draw_sprite_stretched_ext draw_sprite_tiled draw_sprite_tiled_ext draw_surface draw_surface_ext draw_surface_general draw_surface_part draw_surface_part_ext draw_surface_stretched draw_surface_stretched_ext draw_surface_tiled draw_surface_tiled_ext draw_text draw_text_color draw_text_colour draw_text_ext draw_text_ext_color draw_text_ext_colour draw_text_ext_transformed draw_text_ext_transformed_color draw_text_ext_transformed_colour draw_text_transformed draw_text_transformed_color draw_text_transformed_colour draw_texture_flush draw_tile draw_tilemap draw_triangle draw_triangle_color draw_triangle_colour draw_vertex draw_vertex_color draw_vertex_colour draw_vertex_texture draw_vertex_texture_color draw_vertex_texture_colour ds_exists ds_grid_add ds_grid_add_disk ds_grid_add_grid_region ds_grid_add_region ds_grid_clear ds_grid_copy ds_grid_create ds_grid_destroy ds_grid_get ds_grid_get_disk_max ds_grid_get_disk_mean ds_grid_get_disk_min ds_grid_get_disk_sum ds_grid_get_max ds_grid_get_mean ds_grid_get_min ds_grid_get_sum ds_grid_height ds_grid_multiply ds_grid_multiply_disk ds_grid_multiply_grid_region ds_grid_multiply_region ds_grid_read ds_grid_resize ds_grid_set ds_grid_set_disk ds_grid_set_grid_region ds_grid_set_region ds_grid_shuffle ds_grid_sort ds_grid_value_disk_exists ds_grid_value_disk_x ds_grid_value_disk_y ds_grid_value_exists ds_grid_value_x ds_grid_value_y ds_grid_width ds_grid_write ds_list_add ds_list_clear ds_list_copy ds_list_create ds_list_delete ds_list_destroy ds_list_empty ds_list_find_index ds_list_find_value ds_list_insert ds_list_mark_as_list ds_list_mark_as_map ds_list_read ds_list_replace ds_list_set ds_list_shuffle ds_list_size ds_list_sort ds_list_write ds_map_add ds_map_add_list ds_map_add_map ds_map_clear ds_map_copy ds_map_create ds_map_delete ds_map_destroy ds_map_empty ds_map_exists ds_map_find_first ds_map_find_last ds_map_find_next ds_map_find_previous ds_map_find_value ds_map_read ds_map_replace ds_map_replace_list ds_map_replace_map ds_map_secure_load ds_map_secure_load_buffer ds_map_secure_save ds_map_secure_save_buffer ds_map_set ds_map_size ds_map_write ds_priority_add ds_priority_change_priority ds_priority_clear ds_priority_copy ds_priority_create ds_priority_delete_max ds_priority_delete_min ds_priority_delete_value ds_priority_destroy ds_priority_empty ds_priority_find_max ds_priority_find_min ds_priority_find_priority ds_priority_read ds_priority_size ds_priority_write ds_queue_clear ds_queue_copy ds_queue_create ds_queue_dequeue ds_queue_destroy ds_queue_empty ds_queue_enqueue ds_queue_head ds_queue_read ds_queue_size ds_queue_tail ds_queue_write ds_set_precision ds_stack_clear ds_stack_copy ds_stack_create ds_stack_destroy ds_stack_empty ds_stack_pop ds_stack_push ds_stack_read ds_stack_size ds_stack_top ds_stack_write dsin dtan effect_clear effect_create_above effect_create_below environment_get_variable event_inherited event_perform event_perform_object event_user exp external_call external_define external_free facebook_accesstoken facebook_check_permission facebook_dialog facebook_graph_request facebook_init facebook_launch_offerwall facebook_login facebook_logout facebook_post_message facebook_request_publish_permissions facebook_request_read_permissions facebook_send_invite facebook_status facebook_user_id file_attributes file_bin_close file_bin_open file_bin_position file_bin_read_byte file_bin_rewrite file_bin_seek file_bin_size file_bin_write_byte file_copy file_delete file_exists file_find_close file_find_first file_find_next file_rename file_text_close file_text_eof file_text_eoln file_text_open_append file_text_open_from_string file_text_open_read file_text_open_write file_text_read_real file_text_read_string file_text_readln file_text_write_real file_text_write_string file_text_writeln filename_change_ext filename_dir filename_drive filename_ext filename_name filename_path floor font_add font_add_enable_aa font_add_get_enable_aa font_add_sprite font_add_sprite_ext font_delete font_exists font_get_bold font_get_first font_get_fontname font_get_italic font_get_last font_get_name font_get_size font_get_texture font_get_uvs font_replace font_replace_sprite font_replace_sprite_ext font_set_cache_size font_texture_page_size frac game_end game_get_speed game_load game_load_buffer game_restart game_save game_save_buffer game_set_speed gamepad_axis_count gamepad_axis_value gamepad_button_check gamepad_button_check_pressed gamepad_button_check_released gamepad_button_count gamepad_button_value gamepad_get_axis_deadzone gamepad_get_button_threshold gamepad_get_description gamepad_get_device_count gamepad_is_connected gamepad_is_supported gamepad_set_axis_deadzone gamepad_set_button_threshold gamepad_set_color gamepad_set_colour gamepad_set_vibration gesture_double_tap_distance gesture_double_tap_time gesture_drag_distance gesture_drag_time gesture_flick_speed gesture_get_double_tap_distance gesture_get_double_tap_time gesture_get_drag_distance gesture_get_drag_time gesture_get_flick_speed gesture_get_pinch_angle_away gesture_get_pinch_angle_towards gesture_get_pinch_distance gesture_get_rotate_angle gesture_get_rotate_time gesture_get_tap_count gesture_pinch_angle_away gesture_pinch_angle_towards gesture_pinch_distance gesture_rotate_angle gesture_rotate_time gesture_tap_count get_integer get_integer_async get_login_async get_open_filename get_open_filename_ext get_save_filename get_save_filename_ext get_string get_string_async get_timer gml_pragma gml_release_mode gpu_get_alphatestenable gpu_get_alphatestfunc gpu_get_alphatestref gpu_get_blendenable gpu_get_blendmode gpu_get_blendmode_dest gpu_get_blendmode_destalpha gpu_get_blendmode_ext gpu_get_blendmode_ext_sepalpha gpu_get_blendmode_src gpu_get_blendmode_srcalpha gpu_get_colorwriteenable gpu_get_colourwriteenable gpu_get_cullmode gpu_get_fog gpu_get_lightingenable gpu_get_state gpu_get_tex_filter gpu_get_tex_filter_ext gpu_get_tex_max_aniso gpu_get_tex_max_aniso_ext gpu_get_tex_max_mip gpu_get_tex_max_mip_ext gpu_get_tex_min_mip gpu_get_tex_min_mip_ext gpu_get_tex_mip_bias gpu_get_tex_mip_bias_ext gpu_get_tex_mip_enable gpu_get_tex_mip_enable_ext gpu_get_tex_mip_filter gpu_get_tex_mip_filter_ext gpu_get_tex_repeat gpu_get_tex_repeat_ext gpu_get_texfilter gpu_get_texfilter_ext gpu_get_texrepeat gpu_get_texrepeat_ext gpu_get_zfunc gpu_get_ztestenable gpu_get_zwriteenable gpu_pop_state gpu_push_state gpu_set_alphatestenable gpu_set_alphatestfunc gpu_set_alphatestref gpu_set_blendenable gpu_set_blendmode gpu_set_blendmode_ext gpu_set_blendmode_ext_sepalpha gpu_set_colorwriteenable gpu_set_colourwriteenable gpu_set_cullmode gpu_set_fog gpu_set_lightingenable gpu_set_state gpu_set_tex_filter gpu_set_tex_filter_ext gpu_set_tex_max_aniso gpu_set_tex_max_aniso_ext gpu_set_tex_max_mip gpu_set_tex_max_mip_ext gpu_set_tex_min_mip gpu_set_tex_min_mip_ext gpu_set_tex_mip_bias gpu_set_tex_mip_bias_ext gpu_set_tex_mip_enable gpu_set_tex_mip_enable_ext gpu_set_tex_mip_filter gpu_set_tex_mip_filter_ext gpu_set_tex_repeat gpu_set_tex_repeat_ext gpu_set_texfilter gpu_set_texfilter_ext gpu_set_texrepeat gpu_set_texrepeat_ext gpu_set_zfunc gpu_set_ztestenable gpu_set_zwriteenable highscore_add highscore_clear highscore_name highscore_value http_get http_get_file http_post_string http_request iap_acquire iap_activate iap_consume iap_enumerate_products iap_product_details iap_purchase_details iap_restore_all iap_status ini_close ini_key_delete ini_key_exists ini_open ini_open_from_string ini_read_real ini_read_string ini_section_delete ini_section_exists ini_write_real ini_write_string instance_activate_all instance_activate_layer instance_activate_object instance_activate_region instance_change instance_copy instance_create instance_create_depth instance_create_layer instance_deactivate_all instance_deactivate_layer instance_deactivate_object instance_deactivate_region instance_destroy instance_exists instance_find instance_furthest instance_id_get instance_nearest instance_number instance_place instance_place_list instance_position instance_position_list int64 io_clear irandom irandom_range is_array is_bool is_infinity is_int32 is_int64 is_matrix is_method is_nan is_numeric is_ptr is_real is_string is_struct is_undefined is_vec3 is_vec4 json_decode json_encode keyboard_check keyboard_check_direct keyboard_check_pressed keyboard_check_released keyboard_clear keyboard_get_map keyboard_get_numlock keyboard_key_press keyboard_key_release keyboard_set_map keyboard_set_numlock keyboard_unset_map keyboard_virtual_height keyboard_virtual_hide keyboard_virtual_show keyboard_virtual_status layer_add_instance layer_background_alpha layer_background_blend layer_background_change layer_background_create layer_background_destroy layer_background_exists layer_background_get_alpha layer_background_get_blend layer_background_get_htiled layer_background_get_id layer_background_get_index layer_background_get_speed layer_background_get_sprite layer_background_get_stretch layer_background_get_visible layer_background_get_vtiled layer_background_get_xscale layer_background_get_yscale layer_background_htiled layer_background_index layer_background_speed layer_background_sprite layer_background_stretch layer_background_visible layer_background_vtiled layer_background_xscale layer_background_yscale layer_create layer_depth layer_destroy layer_destroy_instances layer_element_move layer_exists layer_force_draw_depth layer_get_all layer_get_all_elements layer_get_depth layer_get_element_layer layer_get_element_type layer_get_forced_depth layer_get_hspeed layer_get_id layer_get_id_at_depth layer_get_name layer_get_script_begin layer_get_script_end layer_get_shader layer_get_target_room layer_get_visible layer_get_vspeed layer_get_x layer_get_y layer_has_instance layer_hspeed layer_instance_get_instance layer_is_draw_depth_forced layer_reset_target_room layer_script_begin layer_script_end layer_set_target_room layer_set_visible layer_shader layer_sprite_alpha layer_sprite_angle layer_sprite_blend layer_sprite_change layer_sprite_create layer_sprite_destroy layer_sprite_exists layer_sprite_get_alpha layer_sprite_get_angle layer_sprite_get_blend layer_sprite_get_id layer_sprite_get_index layer_sprite_get_speed layer_sprite_get_sprite layer_sprite_get_x layer_sprite_get_xscale layer_sprite_get_y layer_sprite_get_yscale layer_sprite_index layer_sprite_speed layer_sprite_x layer_sprite_xscale layer_sprite_y layer_sprite_yscale layer_tile_alpha layer_tile_blend layer_tile_change layer_tile_create layer_tile_destroy layer_tile_exists layer_tile_get_alpha layer_tile_get_blend layer_tile_get_region layer_tile_get_sprite layer_tile_get_visible layer_tile_get_x layer_tile_get_xscale layer_tile_get_y layer_tile_get_yscale layer_tile_region layer_tile_visible layer_tile_x layer_tile_xscale layer_tile_y layer_tile_yscale layer_tilemap_create layer_tilemap_destroy layer_tilemap_exists layer_tilemap_get_id layer_vspeed layer_x layer_y lengthdir_x lengthdir_y lerp ln load_csv log10 log2 logn make_color_hsv make_color_rgb make_colour_hsv make_colour_rgb math_get_epsilon math_set_epsilon matrix_build matrix_build_identity matrix_build_lookat matrix_build_projection_ortho matrix_build_projection_perspective matrix_build_projection_perspective_fov matrix_get matrix_multiply matrix_set matrix_stack_clear matrix_stack_is_empty matrix_stack_multiply matrix_stack_pop matrix_stack_push matrix_stack_set matrix_stack_top matrix_transform_vertex max md5_file md5_string_unicode md5_string_utf8 mean median merge_color merge_colour min motion_add motion_set mouse_check_button mouse_check_button_pressed mouse_check_button_released mouse_clear mouse_wheel_down mouse_wheel_up move_bounce_all move_bounce_solid move_contact_all move_contact_solid move_outside_all move_outside_solid move_random move_snap move_towards_point move_wrap mp_grid_add_cell mp_grid_add_instances mp_grid_add_rectangle mp_grid_clear_all mp_grid_clear_cell mp_grid_clear_rectangle mp_grid_create mp_grid_destroy mp_grid_draw mp_grid_get_cell mp_grid_path mp_grid_to_ds_grid mp_linear_path mp_linear_path_object mp_linear_step mp_linear_step_object mp_potential_path mp_potential_path_object mp_potential_settings mp_potential_step mp_potential_step_object network_connect network_connect_raw network_create_server network_create_server_raw network_create_socket network_create_socket_ext network_destroy network_resolve network_send_broadcast network_send_packet network_send_raw network_send_udp network_send_udp_raw network_set_config network_set_timeout object_exists object_get_depth object_get_mask object_get_name object_get_parent object_get_persistent object_get_physics object_get_solid object_get_sprite object_get_visible object_is_ancestor object_set_mask object_set_persistent object_set_solid object_set_sprite object_set_visible ord os_get_config os_get_info os_get_language os_get_region os_is_network_connected os_is_paused os_lock_orientation os_powersave_enable parameter_count parameter_string part_emitter_burst part_emitter_clear part_emitter_create part_emitter_destroy part_emitter_destroy_all part_emitter_exists part_emitter_region part_emitter_stream part_particles_clear part_particles_count part_particles_create part_particles_create_color part_particles_create_colour part_system_automatic_draw part_system_automatic_update part_system_clear part_system_create part_system_create_layer part_system_depth part_system_destroy part_system_draw_order part_system_drawit part_system_exists part_system_get_layer part_system_layer part_system_position part_system_update part_type_alpha1 part_type_alpha2 part_type_alpha3 part_type_blend part_type_clear part_type_color1 part_type_color2 part_type_color3 part_type_color_hsv part_type_color_mix part_type_color_rgb part_type_colour1 part_type_colour2 part_type_colour3 part_type_colour_hsv part_type_colour_mix part_type_colour_rgb part_type_create part_type_death part_type_destroy part_type_direction part_type_exists part_type_gravity part_type_life part_type_orientation part_type_scale part_type_shape part_type_size part_type_speed part_type_sprite part_type_step path_add path_add_point path_append path_assign path_change_point path_clear_points path_delete path_delete_point path_duplicate path_end path_exists path_flip path_get_closed path_get_kind path_get_length path_get_name path_get_number path_get_point_speed path_get_point_x path_get_point_y path_get_precision path_get_speed path_get_time path_get_x path_get_y path_insert_point path_mirror path_rescale path_reverse path_rotate path_set_closed path_set_kind path_set_precision path_shift path_start physics_apply_angular_impulse physics_apply_force 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physics_joint_rope_create physics_joint_set_value physics_joint_weld_create physics_joint_wheel_create physics_mass_properties physics_particle_count physics_particle_create physics_particle_delete physics_particle_delete_region_box physics_particle_delete_region_circle physics_particle_delete_region_poly physics_particle_draw physics_particle_draw_ext physics_particle_get_damping physics_particle_get_data physics_particle_get_data_particle physics_particle_get_density physics_particle_get_gravity_scale physics_particle_get_group_flags physics_particle_get_max_count physics_particle_get_radius physics_particle_group_add_point physics_particle_group_begin physics_particle_group_box physics_particle_group_circle physics_particle_group_count physics_particle_group_delete physics_particle_group_end physics_particle_group_get_ang_vel physics_particle_group_get_angle physics_particle_group_get_centre_x physics_particle_group_get_centre_y physics_particle_group_get_data 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steam_ugc_query_add_required_tag steam_ugc_query_set_allow_cached_response steam_ugc_query_set_cloud_filename_filter steam_ugc_query_set_match_any_tag steam_ugc_query_set_ranked_by_trend_days steam_ugc_query_set_return_long_description steam_ugc_query_set_return_total_only steam_ugc_query_set_search_text steam_ugc_request_item_details steam_ugc_send_query steam_ugc_set_item_content steam_ugc_set_item_description steam_ugc_set_item_preview steam_ugc_set_item_tags steam_ugc_set_item_title steam_ugc_set_item_visibility steam_ugc_start_item_update steam_ugc_submit_item_update steam_ugc_subscribe_item steam_ugc_unsubscribe_item steam_upload_score steam_upload_score_buffer steam_upload_score_buffer_ext steam_upload_score_ext steam_user_installed_dlc steam_user_owns_dlc string string_byte_at string_byte_length string_char_at string_copy string_count string_delete string_digits string_format string_hash_to_newline string_height string_height_ext string_insert string_length string_letters 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ARABIC_CHARSET BALTIC_CHARSET CHINESEBIG5_CHARSET DEFAULT_CHARSET EASTEUROPE_CHARSET GB2312_CHARSET GM_build_date GM_runtime_version GM_version GREEK_CHARSET HANGEUL_CHARSET HEBREW_CHARSET JOHAB_CHARSET MAC_CHARSET OEM_CHARSET RUSSIAN_CHARSET SHIFTJIS_CHARSET SYMBOL_CHARSET THAI_CHARSET TURKISH_CHARSET VIETNAMESE_CHARSET achievement_achievement_info achievement_filter_all_players achievement_filter_favorites_only achievement_filter_friends_only achievement_friends_info achievement_leaderboard_info achievement_our_info achievement_pic_loaded achievement_show_achievement achievement_show_bank achievement_show_friend_picker achievement_show_leaderboard achievement_show_profile achievement_show_purchase_prompt achievement_show_ui achievement_type_achievement_challenge achievement_type_score_challenge asset_font asset_object asset_path asset_room asset_script asset_shader asset_sound asset_sprite asset_tiles asset_timeline asset_unknown audio_3d audio_falloff_exponent_distance 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SYSRES_CONST_ATTACH_TYPE_REFERENCE SYSRES_CONST_ATTACH_TYPE_TASK SYSRES_CONST_AUTH_ENCODED_PASSWORD SYSRES_CONST_AUTH_ENCODED_PASSWORD_CODE SYSRES_CONST_AUTH_NOVELL SYSRES_CONST_AUTH_PASSWORD SYSRES_CONST_AUTH_PASSWORD_CODE SYSRES_CONST_AUTH_WINDOWS SYSRES_CONST_AUTHENTICATING_SIGNATURE_NAME SYSRES_CONST_AUTHENTICATING_SIGNATURE_REQUISITE_CODE SYSRES_CONST_AUTO_ENUM_METHOD_FLAG SYSRES_CONST_AUTO_NUMERATION_CODE SYSRES_CONST_AUTO_STRONG_ENUM_METHOD_FLAG SYSRES_CONST_AUTOTEXT_NAME_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_TEXT_REQUISITE_CODE SYSRES_CONST_AUTOTEXT_USAGE_ALL SYSRES_CONST_AUTOTEXT_USAGE_ALL_CODE SYSRES_CONST_AUTOTEXT_USAGE_SIGN SYSRES_CONST_AUTOTEXT_USAGE_SIGN_CODE SYSRES_CONST_AUTOTEXT_USAGE_WORK SYSRES_CONST_AUTOTEXT_USAGE_WORK_CODE SYSRES_CONST_AUTOTEXT_USE_ANYWHERE_CODE SYSRES_CONST_AUTOTEXT_USE_ON_SIGNING_CODE SYSRES_CONST_AUTOTEXT_USE_ON_WORK_CODE SYSRES_CONST_BEGIN_DATE_REQUISITE_CODE SYSRES_CONST_BLACK_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BLUE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_BTN_PART SYSRES_CONST_CALCULATED_ROLE_TYPE_CODE SYSRES_CONST_CALL_TYPE_VARIABLE_BUTTON_VALUE SYSRES_CONST_CALL_TYPE_VARIABLE_PROGRAM_VALUE SYSRES_CONST_CANCEL_MESSAGE_FUNCTION_RESULT SYSRES_CONST_CARD_PART SYSRES_CONST_CARD_REFERENCE_MODE_NAME SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_AND_ENCRYPT_VALUE SYSRES_CONST_CERTIFICATE_TYPE_REQUISITE_SIGN_VALUE SYSRES_CONST_CHECK_PARAM_VALUE_DATE_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_FLOAT_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_INTEGER_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_PICK_PARAM_TYPE SYSRES_CONST_CHECK_PARAM_VALUE_REEFRENCE_PARAM_TYPE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_CLOSED_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_CODE_COMPONENT_TYPE_ADMIN SYSRES_CONST_CODE_COMPONENT_TYPE_DEVELOPER SYSRES_CONST_CODE_COMPONENT_TYPE_DOCS SYSRES_CONST_CODE_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_CODE_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_CODE_COMPONENT_TYPE_OTHER SYSRES_CONST_CODE_COMPONENT_TYPE_REFERENCE SYSRES_CONST_CODE_COMPONENT_TYPE_REPORT SYSRES_CONST_CODE_COMPONENT_TYPE_SCRIPT SYSRES_CONST_CODE_COMPONENT_TYPE_URL SYSRES_CONST_CODE_REQUISITE_ACCESS SYSRES_CONST_CODE_REQUISITE_CODE SYSRES_CONST_CODE_REQUISITE_COMPONENT SYSRES_CONST_CODE_REQUISITE_DESCRIPTION SYSRES_CONST_CODE_REQUISITE_EXCLUDE_COMPONENT SYSRES_CONST_CODE_REQUISITE_RECORD SYSRES_CONST_COMMENT_REQ_CODE SYSRES_CONST_COMMON_SETTINGS_REQUISITE_CODE SYSRES_CONST_COMP_CODE_GRD SYSRES_CONST_COMPONENT_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_COMPONENT_TYPE_ADMIN_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DEVELOPER_COMPONENTS SYSRES_CONST_COMPONENT_TYPE_DOCS SYSRES_CONST_COMPONENT_TYPE_EDOC_CARDS SYSRES_CONST_COMPONENT_TYPE_EDOCS SYSRES_CONST_COMPONENT_TYPE_EXTERNAL_EXECUTABLE SYSRES_CONST_COMPONENT_TYPE_OTHER SYSRES_CONST_COMPONENT_TYPE_REFERENCE_TYPES SYSRES_CONST_COMPONENT_TYPE_REFERENCES SYSRES_CONST_COMPONENT_TYPE_REPORTS SYSRES_CONST_COMPONENT_TYPE_SCRIPTS SYSRES_CONST_COMPONENT_TYPE_URL SYSRES_CONST_COMPONENTS_REMOTE_SERVERS_VIEW_CODE SYSRES_CONST_CONDITION_BLOCK_DESCRIPTION SYSRES_CONST_CONST_FIRM_STATUS_COMMON SYSRES_CONST_CONST_FIRM_STATUS_INDIVIDUAL SYSRES_CONST_CONST_NEGATIVE_VALUE SYSRES_CONST_CONST_POSITIVE_VALUE SYSRES_CONST_CONST_SERVER_STATUS_DONT_REPLICATE SYSRES_CONST_CONST_SERVER_STATUS_REPLICATE SYSRES_CONST_CONTENTS_REQUISITE_CODE SYSRES_CONST_DATA_TYPE_BOOLEAN SYSRES_CONST_DATA_TYPE_DATE SYSRES_CONST_DATA_TYPE_FLOAT SYSRES_CONST_DATA_TYPE_INTEGER SYSRES_CONST_DATA_TYPE_PICK SYSRES_CONST_DATA_TYPE_REFERENCE SYSRES_CONST_DATA_TYPE_STRING SYSRES_CONST_DATA_TYPE_TEXT SYSRES_CONST_DATA_TYPE_VARIANT SYSRES_CONST_DATE_CLOSE_REQ_CODE SYSRES_CONST_DATE_FORMAT_DATE_ONLY_CHAR SYSRES_CONST_DATE_OPEN_REQ_CODE SYSRES_CONST_DATE_REQUISITE SYSRES_CONST_DATE_REQUISITE_CODE SYSRES_CONST_DATE_REQUISITE_NAME SYSRES_CONST_DATE_REQUISITE_TYPE SYSRES_CONST_DATE_TYPE_CHAR SYSRES_CONST_DATETIME_FORMAT_VALUE SYSRES_CONST_DEA_ACCESS_RIGHTS_ACTION_CODE SYSRES_CONST_DESCRIPTION_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_DET1_PART SYSRES_CONST_DET2_PART SYSRES_CONST_DET3_PART SYSRES_CONST_DET4_PART SYSRES_CONST_DET5_PART SYSRES_CONST_DET6_PART SYSRES_CONST_DETAIL_DATASET_KEY_REQUISITE_CODE SYSRES_CONST_DETAIL_PICK_REQUISITE_CODE SYSRES_CONST_DETAIL_REQ_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ACCESS_TYPE_NAME SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_CODE SYSRES_CONST_DO_NOT_USE_ON_VIEW_ACCESS_TYPE_NAME SYSRES_CONST_DOCUMENT_STORAGES_CODE SYSRES_CONST_DOCUMENT_TEMPLATES_TYPE_NAME SYSRES_CONST_DOUBLE_REQUISITE_CODE SYSRES_CONST_EDITOR_CLOSE_FILE_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_CLOSE_PROCESS_OBSERV_TYPE_CODE SYSRES_CONST_EDITOR_TYPE_REQUISITE_CODE SYSRES_CONST_EDITORS_APPLICATION_NAME_REQUISITE_CODE SYSRES_CONST_EDITORS_CREATE_SEVERAL_PROCESSES_REQUISITE_CODE SYSRES_CONST_EDITORS_EXTENSION_REQUISITE_CODE SYSRES_CONST_EDITORS_OBSERVER_BY_PROCESS_TYPE SYSRES_CONST_EDITORS_REFERENCE_CODE SYSRES_CONST_EDITORS_REPLACE_SPEC_CHARS_REQUISITE_CODE SYSRES_CONST_EDITORS_USE_PLUGINS_REQUISITE_CODE SYSRES_CONST_EDITORS_VIEW_DOCUMENT_OPENED_TO_EDIT_CODE SYSRES_CONST_EDOC_CARD_TYPE_REQUISITE_CODE SYSRES_CONST_EDOC_CARD_TYPES_LINK_REQUISITE_CODE SYSRES_CONST_EDOC_CERTIFICATE_AND_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_CERTIFICATE_ENCODE_CODE SYSRES_CONST_EDOC_DATE_REQUISITE_CODE SYSRES_CONST_EDOC_KIND_REFERENCE_CODE SYSRES_CONST_EDOC_KINDS_BY_TEMPLATE_ACTION_CODE SYSRES_CONST_EDOC_MANAGE_ACCESS_CODE SYSRES_CONST_EDOC_NONE_ENCODE_CODE SYSRES_CONST_EDOC_NUMBER_REQUISITE_CODE SYSRES_CONST_EDOC_PASSWORD_ENCODE_CODE SYSRES_CONST_EDOC_READONLY_ACCESS_CODE SYSRES_CONST_EDOC_SHELL_LIFE_TYPE_VIEW_VALUE SYSRES_CONST_EDOC_SIZE_RESTRICTION_PRIORITY_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_CHECK_ACCESS_RIGHTS_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_COMPUTER_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_DATABASE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_EDIT_IN_STORAGE_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_LOCAL_PATH_REQUISITE_CODE SYSRES_CONST_EDOC_STORAGE_SHARED_SOURCE_NAME_REQUISITE_CODE SYSRES_CONST_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_EDOC_TYPES_REFERENCE_CODE SYSRES_CONST_EDOC_VERSION_ACTIVE_STAGE_CODE SYSRES_CONST_EDOC_VERSION_DESIGN_STAGE_CODE SYSRES_CONST_EDOC_VERSION_OBSOLETE_STAGE_CODE SYSRES_CONST_EDOC_WRITE_ACCES_CODE SYSRES_CONST_EDOCUMENT_CARD_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_END_DATE_REQUISITE_CODE SYSRES_CONST_ENUMERATION_TYPE_REQUISITE_CODE SYSRES_CONST_EXECUTE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_EXECUTIVE_FILE_STORAGE_TYPE SYSRES_CONST_EXIST_CONST SYSRES_CONST_EXIST_VALUE SYSRES_CONST_EXPORT_LOCK_TYPE_ASK SYSRES_CONST_EXPORT_LOCK_TYPE_WITH_LOCK SYSRES_CONST_EXPORT_LOCK_TYPE_WITHOUT_LOCK SYSRES_CONST_EXPORT_VERSION_TYPE_ASK SYSRES_CONST_EXPORT_VERSION_TYPE_LAST SYSRES_CONST_EXPORT_VERSION_TYPE_LAST_ACTIVE SYSRES_CONST_EXTENSION_REQUISITE_CODE SYSRES_CONST_FILTER_NAME_REQUISITE_CODE SYSRES_CONST_FILTER_REQUISITE_CODE SYSRES_CONST_FILTER_TYPE_COMMON_CODE SYSRES_CONST_FILTER_TYPE_COMMON_NAME SYSRES_CONST_FILTER_TYPE_USER_CODE SYSRES_CONST_FILTER_TYPE_USER_NAME SYSRES_CONST_FILTER_VALUE_REQUISITE_NAME SYSRES_CONST_FLOAT_NUMBER_FORMAT_CHAR SYSRES_CONST_FLOAT_REQUISITE_TYPE SYSRES_CONST_FOLDER_AUTHOR_VALUE SYSRES_CONST_FOLDER_KIND_ANY_OBJECTS SYSRES_CONST_FOLDER_KIND_COMPONENTS SYSRES_CONST_FOLDER_KIND_EDOCS SYSRES_CONST_FOLDER_KIND_JOBS SYSRES_CONST_FOLDER_KIND_TASKS SYSRES_CONST_FOLDER_TYPE_COMMON SYSRES_CONST_FOLDER_TYPE_COMPONENT SYSRES_CONST_FOLDER_TYPE_FAVORITES SYSRES_CONST_FOLDER_TYPE_INBOX SYSRES_CONST_FOLDER_TYPE_OUTBOX SYSRES_CONST_FOLDER_TYPE_QUICK_LAUNCH SYSRES_CONST_FOLDER_TYPE_SEARCH SYSRES_CONST_FOLDER_TYPE_SHORTCUTS SYSRES_CONST_FOLDER_TYPE_USER SYSRES_CONST_FROM_DICTIONARY_ENUM_METHOD_FLAG SYSRES_CONST_FULL_SUBSTITUTE_TYPE SYSRES_CONST_FULL_SUBSTITUTE_TYPE_CODE SYSRES_CONST_FUNCTION_CANCEL_RESULT SYSRES_CONST_FUNCTION_CATEGORY_SYSTEM SYSRES_CONST_FUNCTION_CATEGORY_USER SYSRES_CONST_FUNCTION_FAILURE_RESULT SYSRES_CONST_FUNCTION_SAVE_RESULT SYSRES_CONST_GENERATED_REQUISITE SYSRES_CONST_GREEN_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_GROUP_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_CODE SYSRES_CONST_GROUP_CATEGORY_NORMAL_NAME SYSRES_CONST_GROUP_CATEGORY_SERVICE_CODE SYSRES_CONST_GROUP_CATEGORY_SERVICE_NAME SYSRES_CONST_GROUP_COMMON_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_FULL_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_CODES_REQUISITE_CODE SYSRES_CONST_GROUP_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_GROUP_SERVICE_CATEGORY_FIELD_VALUE SYSRES_CONST_GROUP_USER_REQUISITE_CODE SYSRES_CONST_GROUPS_REFERENCE_CODE SYSRES_CONST_GROUPS_REQUISITE_CODE SYSRES_CONST_HIDDEN_MODE_NAME SYSRES_CONST_HIGH_LVL_REQUISITE_CODE SYSRES_CONST_HISTORY_ACTION_CREATE_CODE SYSRES_CONST_HISTORY_ACTION_DELETE_CODE SYSRES_CONST_HISTORY_ACTION_EDIT_CODE SYSRES_CONST_HOUR_CHAR SYSRES_CONST_ID_REQUISITE_CODE SYSRES_CONST_IDSPS_REQUISITE_CODE SYSRES_CONST_IMAGE_MODE_COLOR SYSRES_CONST_IMAGE_MODE_GREYSCALE SYSRES_CONST_IMAGE_MODE_MONOCHROME SYSRES_CONST_IMPORTANCE_HIGH SYSRES_CONST_IMPORTANCE_LOW SYSRES_CONST_IMPORTANCE_NORMAL SYSRES_CONST_IN_DESIGN_VERSION_STATE_PICK_VALUE SYSRES_CONST_INCOMING_WORK_RULE_TYPE_CODE SYSRES_CONST_INT_REQUISITE SYSRES_CONST_INT_REQUISITE_TYPE SYSRES_CONST_INTEGER_NUMBER_FORMAT_CHAR SYSRES_CONST_INTEGER_TYPE_CHAR SYSRES_CONST_IS_GENERATED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_PUBLIC_ROLE_REQUISITE_CODE SYSRES_CONST_IS_REMOTE_USER_NEGATIVE_VALUE SYSRES_CONST_IS_REMOTE_USER_POSITIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_NEGATIVE_VALUE SYSRES_CONST_IS_STORED_REQUISITE_STORED_VALUE SYSRES_CONST_ITALIC_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_JOB_BLOCK_DESCRIPTION SYSRES_CONST_JOB_KIND_CONTROL_JOB SYSRES_CONST_JOB_KIND_JOB SYSRES_CONST_JOB_KIND_NOTICE SYSRES_CONST_JOB_STATE_ABORTED SYSRES_CONST_JOB_STATE_COMPLETE SYSRES_CONST_JOB_STATE_WORKING SYSRES_CONST_KIND_REQUISITE_CODE SYSRES_CONST_KIND_REQUISITE_NAME SYSRES_CONST_KINDS_CREATE_SHADOW_COPIES_REQUISITE_CODE SYSRES_CONST_KINDS_DEFAULT_EDOC_LIFE_STAGE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALL_TEPLATES_ALLOWED_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_LIFE_CYCLE_STAGE_CHANGING_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_ALLOW_MULTIPLE_ACTIVE_VERSIONS_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_SHARE_ACCES_RIGHTS_BY_DEFAULT_CODE SYSRES_CONST_KINDS_EDOC_TEMPLATE_REQUISITE_CODE SYSRES_CONST_KINDS_EDOC_TYPE_REQUISITE_CODE SYSRES_CONST_KINDS_SIGNERS_REQUISITES_CODE SYSRES_CONST_KOD_INPUT_TYPE SYSRES_CONST_LAST_UPDATE_DATE_REQUISITE_CODE SYSRES_CONST_LIFE_CYCLE_START_STAGE_REQUISITE_CODE SYSRES_CONST_LILAC_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_LINK_OBJECT_KIND_COMPONENT SYSRES_CONST_LINK_OBJECT_KIND_DOCUMENT SYSRES_CONST_LINK_OBJECT_KIND_EDOC SYSRES_CONST_LINK_OBJECT_KIND_FOLDER SYSRES_CONST_LINK_OBJECT_KIND_JOB SYSRES_CONST_LINK_OBJECT_KIND_REFERENCE SYSRES_CONST_LINK_OBJECT_KIND_TASK SYSRES_CONST_LINK_REF_TYPE_REQUISITE_CODE SYSRES_CONST_LIST_REFERENCE_MODE_NAME SYSRES_CONST_LOCALIZATION_DICTIONARY_MAIN_VIEW_CODE SYSRES_CONST_MAIN_VIEW_CODE SYSRES_CONST_MANUAL_ENUM_METHOD_FLAG SYSRES_CONST_MASTER_COMP_TYPE_REQUISITE_CODE SYSRES_CONST_MASTER_TABLE_REC_ID_REQUISITE_CODE SYSRES_CONST_MAXIMIZED_MODE_NAME SYSRES_CONST_ME_VALUE SYSRES_CONST_MESSAGE_ATTENTION_CAPTION SYSRES_CONST_MESSAGE_CONFIRMATION_CAPTION SYSRES_CONST_MESSAGE_ERROR_CAPTION SYSRES_CONST_MESSAGE_INFORMATION_CAPTION SYSRES_CONST_MINIMIZED_MODE_NAME SYSRES_CONST_MINUTE_CHAR SYSRES_CONST_MODULE_REQUISITE_CODE SYSRES_CONST_MONITORING_BLOCK_DESCRIPTION SYSRES_CONST_MONTH_FORMAT_VALUE SYSRES_CONST_NAME_LOCALIZE_ID_REQUISITE_CODE SYSRES_CONST_NAME_REQUISITE_CODE SYSRES_CONST_NAME_SINGULAR_REQUISITE_CODE SYSRES_CONST_NAMEAN_INPUT_TYPE SYSRES_CONST_NEGATIVE_PICK_VALUE SYSRES_CONST_NEGATIVE_VALUE SYSRES_CONST_NO SYSRES_CONST_NO_PICK_VALUE SYSRES_CONST_NO_SIGNATURE_REQUISITE_CODE SYSRES_CONST_NO_VALUE SYSRES_CONST_NONE_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE SYSRES_CONST_NONOPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_NORMAL_ACCESS_RIGHTS_TYPE_CODE SYSRES_CONST_NORMAL_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_NORMAL_MODE_NAME SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_CODE SYSRES_CONST_NOT_ALLOWED_ACCESS_TYPE_NAME SYSRES_CONST_NOTE_REQUISITE_CODE SYSRES_CONST_NOTICE_BLOCK_DESCRIPTION SYSRES_CONST_NUM_REQUISITE SYSRES_CONST_NUM_STR_REQUISITE_CODE SYSRES_CONST_NUMERATION_AUTO_NOT_STRONG SYSRES_CONST_NUMERATION_AUTO_STRONG SYSRES_CONST_NUMERATION_FROM_DICTONARY SYSRES_CONST_NUMERATION_MANUAL SYSRES_CONST_NUMERIC_TYPE_CHAR SYSRES_CONST_NUMREQ_REQUISITE_CODE SYSRES_CONST_OBSOLETE_VERSION_STATE_PICK_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_FEMININE SYSRES_CONST_OPERATING_RECORD_FLAG_VALUE_MASCULINE SYSRES_CONST_OPTIONAL_FORM_COMP_REQCODE_PREFIX SYSRES_CONST_ORANGE_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_ORIGINALREF_REQUISITE_CODE SYSRES_CONST_OURFIRM_REF_CODE SYSRES_CONST_OURFIRM_REQUISITE_CODE SYSRES_CONST_OURFIRM_VAR SYSRES_CONST_OUTGOING_WORK_RULE_TYPE_CODE SYSRES_CONST_PICK_NEGATIVE_RESULT SYSRES_CONST_PICK_POSITIVE_RESULT SYSRES_CONST_PICK_REQUISITE SYSRES_CONST_PICK_REQUISITE_TYPE SYSRES_CONST_PICK_TYPE_CHAR SYSRES_CONST_PLAN_STATUS_REQUISITE_CODE SYSRES_CONST_PLATFORM_VERSION_COMMENT SYSRES_CONST_PLUGINS_SETTINGS_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_POSITIVE_PICK_VALUE SYSRES_CONST_POWER_TO_CREATE_ACTION_CODE SYSRES_CONST_POWER_TO_SIGN_ACTION_CODE SYSRES_CONST_PRIORITY_REQUISITE_CODE SYSRES_CONST_QUALIFIED_TASK_TYPE SYSRES_CONST_QUALIFIED_TASK_TYPE_CODE SYSRES_CONST_RECSTAT_REQUISITE_CODE SYSRES_CONST_RED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_REF_ID_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_REF_REQUISITE SYSRES_CONST_REF_REQUISITE_TYPE SYSRES_CONST_REF_REQUISITES_REFERENCE_CODE_SELECTED_REQUISITE SYSRES_CONST_REFERENCE_RECORD_HISTORY_CREATE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_DELETE_ACTION_CODE SYSRES_CONST_REFERENCE_RECORD_HISTORY_MODIFY_ACTION_CODE SYSRES_CONST_REFERENCE_TYPE_CHAR SYSRES_CONST_REFERENCE_TYPE_REQUISITE_NAME SYSRES_CONST_REFERENCES_ADD_PARAMS_REQUISITE_CODE SYSRES_CONST_REFERENCES_DISPLAY_REQUISITE_REQUISITE_CODE SYSRES_CONST_REMOTE_SERVER_STATUS_WORKING SYSRES_CONST_REMOTE_SERVER_TYPE_MAIN SYSRES_CONST_REMOTE_SERVER_TYPE_SECONDARY SYSRES_CONST_REMOTE_USER_FLAG_VALUE_CODE SYSRES_CONST_REPORT_APP_EDITOR_INTERNAL SYSRES_CONST_REPORT_BASE_REPORT_ID_REQUISITE_CODE SYSRES_CONST_REPORT_BASE_REPORT_REQUISITE_CODE SYSRES_CONST_REPORT_SCRIPT_REQUISITE_CODE SYSRES_CONST_REPORT_TEMPLATE_REQUISITE_CODE SYSRES_CONST_REPORT_VIEWER_CODE_REQUISITE_CODE SYSRES_CONST_REQ_ALLOW_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_RECORD_DEFAULT_VALUE SYSRES_CONST_REQ_ALLOW_SERVER_COMPONENT_DEFAULT_VALUE SYSRES_CONST_REQ_MODE_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_EDIT_CODE SYSRES_CONST_REQ_MODE_HIDDEN_CODE SYSRES_CONST_REQ_MODE_NOT_AVAILABLE_CODE SYSRES_CONST_REQ_MODE_VIEW_CODE SYSRES_CONST_REQ_NUMBER_REQUISITE_CODE SYSRES_CONST_REQ_SECTION_VALUE SYSRES_CONST_REQ_TYPE_VALUE SYSRES_CONST_REQUISITE_FORMAT_BY_UNIT SYSRES_CONST_REQUISITE_FORMAT_DATE_FULL SYSRES_CONST_REQUISITE_FORMAT_DATE_TIME SYSRES_CONST_REQUISITE_FORMAT_LEFT SYSRES_CONST_REQUISITE_FORMAT_RIGHT SYSRES_CONST_REQUISITE_FORMAT_WITHOUT_UNIT SYSRES_CONST_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_REQUISITE_SECTION_ACTIONS SYSRES_CONST_REQUISITE_SECTION_BUTTON SYSRES_CONST_REQUISITE_SECTION_BUTTONS SYSRES_CONST_REQUISITE_SECTION_CARD SYSRES_CONST_REQUISITE_SECTION_TABLE SYSRES_CONST_REQUISITE_SECTION_TABLE10 SYSRES_CONST_REQUISITE_SECTION_TABLE11 SYSRES_CONST_REQUISITE_SECTION_TABLE12 SYSRES_CONST_REQUISITE_SECTION_TABLE13 SYSRES_CONST_REQUISITE_SECTION_TABLE14 SYSRES_CONST_REQUISITE_SECTION_TABLE15 SYSRES_CONST_REQUISITE_SECTION_TABLE16 SYSRES_CONST_REQUISITE_SECTION_TABLE17 SYSRES_CONST_REQUISITE_SECTION_TABLE18 SYSRES_CONST_REQUISITE_SECTION_TABLE19 SYSRES_CONST_REQUISITE_SECTION_TABLE2 SYSRES_CONST_REQUISITE_SECTION_TABLE20 SYSRES_CONST_REQUISITE_SECTION_TABLE21 SYSRES_CONST_REQUISITE_SECTION_TABLE22 SYSRES_CONST_REQUISITE_SECTION_TABLE23 SYSRES_CONST_REQUISITE_SECTION_TABLE24 SYSRES_CONST_REQUISITE_SECTION_TABLE3 SYSRES_CONST_REQUISITE_SECTION_TABLE4 SYSRES_CONST_REQUISITE_SECTION_TABLE5 SYSRES_CONST_REQUISITE_SECTION_TABLE6 SYSRES_CONST_REQUISITE_SECTION_TABLE7 SYSRES_CONST_REQUISITE_SECTION_TABLE8 SYSRES_CONST_REQUISITE_SECTION_TABLE9 SYSRES_CONST_REQUISITES_PSEUDOREFERENCE_REQUISITE_NUMBER_REQUISITE_CODE SYSRES_CONST_RIGHT_ALIGNMENT_CODE SYSRES_CONST_ROLES_REFERENCE_CODE SYSRES_CONST_ROUTE_STEP_AFTER_RUS SYSRES_CONST_ROUTE_STEP_AND_CONDITION_RUS SYSRES_CONST_ROUTE_STEP_OR_CONDITION_RUS SYSRES_CONST_ROUTE_TYPE_COMPLEX SYSRES_CONST_ROUTE_TYPE_PARALLEL SYSRES_CONST_ROUTE_TYPE_SERIAL SYSRES_CONST_SBDATASETDESC_NEGATIVE_VALUE SYSRES_CONST_SBDATASETDESC_POSITIVE_VALUE SYSRES_CONST_SBVIEWSDESC_POSITIVE_VALUE SYSRES_CONST_SCRIPT_BLOCK_DESCRIPTION SYSRES_CONST_SEARCH_BY_TEXT_REQUISITE_CODE SYSRES_CONST_SEARCHES_COMPONENT_CONTENT SYSRES_CONST_SEARCHES_CRITERIA_ACTION_NAME SYSRES_CONST_SEARCHES_EDOC_CONTENT SYSRES_CONST_SEARCHES_FOLDER_CONTENT SYSRES_CONST_SEARCHES_JOB_CONTENT SYSRES_CONST_SEARCHES_REFERENCE_CODE SYSRES_CONST_SEARCHES_TASK_CONTENT SYSRES_CONST_SECOND_CHAR SYSRES_CONST_SECTION_REQUISITE_ACTIONS_VALUE SYSRES_CONST_SECTION_REQUISITE_CARD_VALUE SYSRES_CONST_SECTION_REQUISITE_CODE SYSRES_CONST_SECTION_REQUISITE_DETAIL_1_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_2_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_3_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_4_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_5_VALUE SYSRES_CONST_SECTION_REQUISITE_DETAIL_6_VALUE SYSRES_CONST_SELECT_REFERENCE_MODE_NAME SYSRES_CONST_SELECT_TYPE_SELECTABLE SYSRES_CONST_SELECT_TYPE_SELECTABLE_ONLY_CHILD SYSRES_CONST_SELECT_TYPE_SELECTABLE_WITH_CHILD SYSRES_CONST_SELECT_TYPE_UNSLECTABLE SYSRES_CONST_SERVER_TYPE_MAIN SYSRES_CONST_SERVICE_USER_CATEGORY_FIELD_VALUE SYSRES_CONST_SETTINGS_USER_REQUISITE_CODE SYSRES_CONST_SIGNATURE_AND_ENCODE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SIGNATURE_CERTIFICATE_TYPE_CODE SYSRES_CONST_SINGULAR_TITLE_REQUISITE_CODE SYSRES_CONST_SQL_SERVER_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_SQL_SERVER_ENCODE_AUTHENTIFICATION_FLAG_VALUE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_CODE SYSRES_CONST_STANDART_ROUTE_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_STANDART_ROUTES_GROUPS_REFERENCE_CODE SYSRES_CONST_STATE_REQ_NAME SYSRES_CONST_STATE_REQUISITE_ACTIVE_VALUE SYSRES_CONST_STATE_REQUISITE_CLOSED_VALUE SYSRES_CONST_STATE_REQUISITE_CODE SYSRES_CONST_STATIC_ROLE_TYPE_CODE SYSRES_CONST_STATUS_PLAN_DEFAULT_VALUE SYSRES_CONST_STATUS_VALUE_AUTOCLEANING SYSRES_CONST_STATUS_VALUE_BLUE_SQUARE SYSRES_CONST_STATUS_VALUE_COMPLETE SYSRES_CONST_STATUS_VALUE_GREEN_SQUARE SYSRES_CONST_STATUS_VALUE_ORANGE_SQUARE SYSRES_CONST_STATUS_VALUE_PURPLE_SQUARE SYSRES_CONST_STATUS_VALUE_RED_SQUARE SYSRES_CONST_STATUS_VALUE_SUSPEND SYSRES_CONST_STATUS_VALUE_YELLOW_SQUARE SYSRES_CONST_STDROUTE_SHOW_TO_USERS_REQUISITE_CODE SYSRES_CONST_STORAGE_TYPE_FILE SYSRES_CONST_STORAGE_TYPE_SQL_SERVER SYSRES_CONST_STR_REQUISITE SYSRES_CONST_STRIKEOUT_LIFE_CYCLE_STAGE_DRAW_STYLE SYSRES_CONST_STRING_FORMAT_LEFT_ALIGN_CHAR SYSRES_CONST_STRING_FORMAT_RIGHT_ALIGN_CHAR SYSRES_CONST_STRING_REQUISITE_CODE SYSRES_CONST_STRING_REQUISITE_TYPE SYSRES_CONST_STRING_TYPE_CHAR SYSRES_CONST_SUBSTITUTES_PSEUDOREFERENCE_CODE SYSRES_CONST_SUBTASK_BLOCK_DESCRIPTION SYSRES_CONST_SYSTEM_SETTING_CURRENT_USER_PARAM_VALUE SYSRES_CONST_SYSTEM_SETTING_EMPTY_VALUE_PARAM_VALUE SYSRES_CONST_SYSTEM_VERSION_COMMENT SYSRES_CONST_TASK_ACCESS_TYPE_ALL SYSRES_CONST_TASK_ACCESS_TYPE_ALL_MEMBERS SYSRES_CONST_TASK_ACCESS_TYPE_MANUAL SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION SYSRES_CONST_TASK_ENCODE_TYPE_CERTIFICATION_AND_PASSWORD SYSRES_CONST_TASK_ENCODE_TYPE_NONE SYSRES_CONST_TASK_ENCODE_TYPE_PASSWORD SYSRES_CONST_TASK_ROUTE_ALL_CONDITION SYSRES_CONST_TASK_ROUTE_AND_CONDITION SYSRES_CONST_TASK_ROUTE_OR_CONDITION SYSRES_CONST_TASK_STATE_ABORTED SYSRES_CONST_TASK_STATE_COMPLETE SYSRES_CONST_TASK_STATE_CONTINUED SYSRES_CONST_TASK_STATE_CONTROL SYSRES_CONST_TASK_STATE_INIT SYSRES_CONST_TASK_STATE_WORKING SYSRES_CONST_TASK_TITLE SYSRES_CONST_TASK_TYPES_GROUPS_REFERENCE_CODE SYSRES_CONST_TASK_TYPES_REFERENCE_CODE SYSRES_CONST_TEMPLATES_REFERENCE_CODE SYSRES_CONST_TEST_DATE_REQUISITE_NAME SYSRES_CONST_TEST_DEV_DATABASE_NAME SYSRES_CONST_TEST_DEV_SYSTEM_CODE SYSRES_CONST_TEST_EDMS_DATABASE_NAME SYSRES_CONST_TEST_EDMS_MAIN_CODE SYSRES_CONST_TEST_EDMS_MAIN_DB_NAME SYSRES_CONST_TEST_EDMS_SECOND_CODE SYSRES_CONST_TEST_EDMS_SECOND_DB_NAME SYSRES_CONST_TEST_EDMS_SYSTEM_CODE SYSRES_CONST_TEST_NUMERIC_REQUISITE_NAME SYSRES_CONST_TEXT_REQUISITE SYSRES_CONST_TEXT_REQUISITE_CODE SYSRES_CONST_TEXT_REQUISITE_TYPE SYSRES_CONST_TEXT_TYPE_CHAR SYSRES_CONST_TYPE_CODE_REQUISITE_CODE SYSRES_CONST_TYPE_REQUISITE_CODE SYSRES_CONST_UNDEFINED_LIFE_CYCLE_STAGE_FONT_COLOR SYSRES_CONST_UNITS_SECTION_ID_REQUISITE_CODE SYSRES_CONST_UNITS_SECTION_REQUISITE_CODE SYSRES_CONST_UNOPERATING_RECORD_FLAG_VALUE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_CODE SYSRES_CONST_UNSTORED_DATA_REQUISITE_NAME SYSRES_CONST_USE_ACCESS_TYPE_CODE SYSRES_CONST_USE_ACCESS_TYPE_NAME SYSRES_CONST_USER_ACCOUNT_TYPE_VALUE_CODE SYSRES_CONST_USER_ADDITIONAL_INFORMATION_REQUISITE_CODE SYSRES_CONST_USER_AND_GROUP_ID_FROM_PSEUDOREFERENCE_REQUISITE_CODE SYSRES_CONST_USER_CATEGORY_NORMAL SYSRES_CONST_USER_CERTIFICATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_STATE_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_SUBJECT_NAME_REQUISITE_CODE SYSRES_CONST_USER_CERTIFICATE_THUMBPRINT_REQUISITE_CODE SYSRES_CONST_USER_COMMON_CATEGORY SYSRES_CONST_USER_COMMON_CATEGORY_CODE SYSRES_CONST_USER_FULL_NAME_REQUISITE_CODE SYSRES_CONST_USER_GROUP_TYPE_REQUISITE_CODE SYSRES_CONST_USER_LOGIN_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USER_REMOTE_SYSTEM_REQUISITE_CODE SYSRES_CONST_USER_RIGHTS_T_REQUISITE_CODE SYSRES_CONST_USER_SERVER_NAME_REQUISITE_CODE SYSRES_CONST_USER_SERVICE_CATEGORY SYSRES_CONST_USER_SERVICE_CATEGORY_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_CODE SYSRES_CONST_USER_STATUS_ADMINISTRATOR_NAME SYSRES_CONST_USER_STATUS_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_DEVELOPER_NAME SYSRES_CONST_USER_STATUS_DISABLED_CODE SYSRES_CONST_USER_STATUS_DISABLED_NAME SYSRES_CONST_USER_STATUS_SYSTEM_DEVELOPER_CODE SYSRES_CONST_USER_STATUS_USER_CODE SYSRES_CONST_USER_STATUS_USER_NAME SYSRES_CONST_USER_STATUS_USER_NAME_DEPRECATED SYSRES_CONST_USER_TYPE_FIELD_VALUE_USER SYSRES_CONST_USER_TYPE_REQUISITE_CODE SYSRES_CONST_USERS_CONTROLLER_REQUISITE_CODE SYSRES_CONST_USERS_IS_MAIN_SERVER_REQUISITE_CODE SYSRES_CONST_USERS_REFERENCE_CODE SYSRES_CONST_USERS_REGISTRATION_CERTIFICATES_ACTION_NAME SYSRES_CONST_USERS_REQUISITE_CODE SYSRES_CONST_USERS_SYSTEM_REQUISITE_CODE SYSRES_CONST_USERS_USER_ACCESS_RIGHTS_TYPR_REQUISITE_CODE SYSRES_CONST_USERS_USER_AUTHENTICATION_REQUISITE_CODE SYSRES_CONST_USERS_USER_COMPONENT_REQUISITE_CODE SYSRES_CONST_USERS_USER_GROUP_REQUISITE_CODE SYSRES_CONST_USERS_VIEW_CERTIFICATES_ACTION_NAME SYSRES_CONST_VIEW_DEFAULT_CODE SYSRES_CONST_VIEW_DEFAULT_NAME SYSRES_CONST_VIEWER_REQUISITE_CODE SYSRES_CONST_WAITING_BLOCK_DESCRIPTION SYSRES_CONST_WIZARD_FORM_LABEL_TEST_STRING SYSRES_CONST_WIZARD_QUERY_PARAM_HEIGHT_ETALON_STRING SYSRES_CONST_WIZARD_REFERENCE_COMMENT_REQUISITE_CODE SYSRES_CONST_WORK_RULES_DESCRIPTION_REQUISITE_CODE SYSRES_CONST_WORK_TIME_CALENDAR_REFERENCE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE SYSRES_CONST_WORK_WORKFLOW_HARD_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORK_WORKFLOW_SOFT_ROUTE_TYPE_VALUE_CODE_RUS SYSRES_CONST_WORKFLOW_ROUTE_TYPR_HARD SYSRES_CONST_WORKFLOW_ROUTE_TYPR_SOFT SYSRES_CONST_XML_ENCODING SYSRES_CONST_XREC_STAT_REQUISITE_CODE SYSRES_CONST_XRECID_FIELD_NAME SYSRES_CONST_YES SYSRES_CONST_YES_NO_2_REQUISITE_CODE SYSRES_CONST_YES_NO_REQUISITE_CODE SYSRES_CONST_YES_NO_T_REF_TYPE_REQUISITE_CODE SYSRES_CONST_YES_PICK_VALUE SYSRES_CONST_YES_VALUE CR FALSE nil NO_VALUE NULL TAB TRUE YES_VALUE ADMINISTRATORS_GROUP_NAME CUSTOMIZERS_GROUP_NAME DEVELOPERS_GROUP_NAME SERVICE_USERS_GROUP_NAME DECISION_BLOCK_FIRST_OPERAND_PROPERTY DECISION_BLOCK_NAME_PROPERTY DECISION_BLOCK_OPERATION_PROPERTY DECISION_BLOCK_RESULT_TYPE_PROPERTY DECISION_BLOCK_SECOND_OPERAND_PROPERTY ANY_FILE_EXTENTION COMPRESSED_DOCUMENT_EXTENSION EXTENDED_DOCUMENT_EXTENSION SHORT_COMPRESSED_DOCUMENT_EXTENSION SHORT_EXTENDED_DOCUMENT_EXTENSION JOB_BLOCK_ABORT_DEADLINE_PROPERTY JOB_BLOCK_AFTER_FINISH_EVENT JOB_BLOCK_AFTER_QUERY_PARAMETERS_EVENT JOB_BLOCK_ATTACHMENT_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY JOB_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY JOB_BLOCK_BEFORE_QUERY_PARAMETERS_EVENT JOB_BLOCK_BEFORE_START_EVENT JOB_BLOCK_CREATED_JOBS_PROPERTY JOB_BLOCK_DEADLINE_PROPERTY JOB_BLOCK_EXECUTION_RESULTS_PROPERTY JOB_BLOCK_IS_PARALLEL_PROPERTY JOB_BLOCK_IS_RELATIVE_ABORT_DEADLINE_PROPERTY JOB_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY JOB_BLOCK_JOB_TEXT_PROPERTY JOB_BLOCK_NAME_PROPERTY JOB_BLOCK_NEED_SIGN_ON_PERFORM_PROPERTY JOB_BLOCK_PERFORMER_PROPERTY JOB_BLOCK_RELATIVE_ABORT_DEADLINE_TYPE_PROPERTY JOB_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY JOB_BLOCK_SUBJECT_PROPERTY ENGLISH_LANGUAGE_CODE RUSSIAN_LANGUAGE_CODE smHidden smMaximized smMinimized smNormal wmNo wmYes COMPONENT_TOKEN_LINK_KIND DOCUMENT_LINK_KIND EDOCUMENT_LINK_KIND FOLDER_LINK_KIND JOB_LINK_KIND REFERENCE_LINK_KIND TASK_LINK_KIND COMPONENT_TOKEN_LOCK_TYPE EDOCUMENT_VERSION_LOCK_TYPE MONITOR_BLOCK_AFTER_FINISH_EVENT MONITOR_BLOCK_BEFORE_START_EVENT MONITOR_BLOCK_DEADLINE_PROPERTY MONITOR_BLOCK_INTERVAL_PROPERTY MONITOR_BLOCK_INTERVAL_TYPE_PROPERTY MONITOR_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY MONITOR_BLOCK_NAME_PROPERTY MONITOR_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY MONITOR_BLOCK_SEARCH_SCRIPT_PROPERTY NOTICE_BLOCK_AFTER_FINISH_EVENT NOTICE_BLOCK_ATTACHMENT_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY NOTICE_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY NOTICE_BLOCK_BEFORE_START_EVENT NOTICE_BLOCK_CREATED_NOTICES_PROPERTY NOTICE_BLOCK_DEADLINE_PROPERTY NOTICE_BLOCK_IS_RELATIVE_DEADLINE_PROPERTY NOTICE_BLOCK_NAME_PROPERTY NOTICE_BLOCK_NOTICE_TEXT_PROPERTY NOTICE_BLOCK_PERFORMER_PROPERTY NOTICE_BLOCK_RELATIVE_DEADLINE_TYPE_PROPERTY NOTICE_BLOCK_SUBJECT_PROPERTY dseAfterCancel dseAfterClose dseAfterDelete dseAfterDeleteOutOfTransaction dseAfterInsert dseAfterOpen dseAfterScroll dseAfterUpdate dseAfterUpdateOutOfTransaction dseBeforeCancel dseBeforeClose dseBeforeDelete dseBeforeDetailUpdate dseBeforeInsert dseBeforeOpen dseBeforeUpdate dseOnAnyRequisiteChange dseOnCloseRecord dseOnDeleteError dseOnOpenRecord dseOnPrepareUpdate dseOnUpdateError dseOnUpdateRatifiedRecord dseOnValidDelete dseOnValidUpdate reOnChange reOnChangeValues SELECTION_BEGIN_ROUTE_EVENT SELECTION_END_ROUTE_EVENT CURRENT_PERIOD_IS_REQUIRED PREVIOUS_CARD_TYPE_NAME SHOW_RECORD_PROPERTIES_FORM ACCESS_RIGHTS_SETTING_DIALOG_CODE ADMINISTRATOR_USER_CODE ANALYTIC_REPORT_TYPE asrtHideLocal asrtHideRemote CALCULATED_ROLE_TYPE_CODE COMPONENTS_REFERENCE_DEVELOPER_VIEW_CODE DCTS_TEST_PROTOCOLS_FOLDER_PATH E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED E_EDOC_VERSION_ALREADY_APPROVINGLY_SIGNED_BY_USER E_EDOC_VERSION_ALREDY_SIGNED E_EDOC_VERSION_ALREDY_SIGNED_BY_USER EDOC_TYPES_CODE_REQUISITE_FIELD_NAME EDOCUMENTS_ALIAS_NAME FILES_FOLDER_PATH FILTER_OPERANDS_DELIMITER FILTER_OPERATIONS_DELIMITER FORMCARD_NAME FORMLIST_NAME GET_EXTENDED_DOCUMENT_EXTENSION_CREATION_MODE GET_EXTENDED_DOCUMENT_EXTENSION_IMPORT_MODE INTEGRATED_REPORT_TYPE IS_BUILDER_APPLICATION_ROLE IS_BUILDER_APPLICATION_ROLE2 IS_BUILDER_USERS ISBSYSDEV LOG_FOLDER_PATH mbCancel mbNo mbNoToAll mbOK mbYes mbYesToAll MEMORY_DATASET_DESRIPTIONS_FILENAME mrNo mrNoToAll mrYes mrYesToAll MULTIPLE_SELECT_DIALOG_CODE NONOPERATING_RECORD_FLAG_FEMININE NONOPERATING_RECORD_FLAG_MASCULINE OPERATING_RECORD_FLAG_FEMININE OPERATING_RECORD_FLAG_MASCULINE PROFILING_SETTINGS_COMMON_SETTINGS_CODE_VALUE PROGRAM_INITIATED_LOOKUP_ACTION ratDelete ratEdit ratInsert REPORT_TYPE REQUIRED_PICK_VALUES_VARIABLE rmCard rmList SBRTE_PROGID_DEV SBRTE_PROGID_RELEASE STATIC_ROLE_TYPE_CODE SUPPRESS_EMPTY_TEMPLATE_CREATION SYSTEM_USER_CODE UPDATE_DIALOG_DATASET USED_IN_OBJECT_HINT_PARAM USER_INITIATED_LOOKUP_ACTION USER_NAME_FORMAT USER_SELECTION_RESTRICTIONS WORKFLOW_TEST_PROTOCOLS_FOLDER_PATH ELS_SUBTYPE_CONTROL_NAME ELS_FOLDER_KIND_CONTROL_NAME REPEAT_PROCESS_CURRENT_OBJECT_EXCEPTION_NAME PRIVILEGE_COMPONENT_FULL_ACCESS PRIVILEGE_DEVELOPMENT_EXPORT PRIVILEGE_DEVELOPMENT_IMPORT PRIVILEGE_DOCUMENT_DELETE PRIVILEGE_ESD PRIVILEGE_FOLDER_DELETE PRIVILEGE_MANAGE_ACCESS_RIGHTS PRIVILEGE_MANAGE_REPLICATION PRIVILEGE_MANAGE_SESSION_SERVER PRIVILEGE_OBJECT_FULL_ACCESS PRIVILEGE_OBJECT_VIEW PRIVILEGE_RESERVE_LICENSE PRIVILEGE_SYSTEM_CUSTOMIZE PRIVILEGE_SYSTEM_DEVELOP PRIVILEGE_SYSTEM_INSTALL PRIVILEGE_TASK_DELETE PRIVILEGE_USER_PLUGIN_SETTINGS_CUSTOMIZE PRIVILEGES_PSEUDOREFERENCE_CODE ACCESS_TYPES_PSEUDOREFERENCE_CODE ALL_AVAILABLE_COMPONENTS_PSEUDOREFERENCE_CODE ALL_AVAILABLE_PRIVILEGES_PSEUDOREFERENCE_CODE ALL_REPLICATE_COMPONENTS_PSEUDOREFERENCE_CODE AVAILABLE_DEVELOPERS_COMPONENTS_PSEUDOREFERENCE_CODE COMPONENTS_PSEUDOREFERENCE_CODE FILTRATER_SETTINGS_CONFLICTS_PSEUDOREFERENCE_CODE GROUPS_PSEUDOREFERENCE_CODE RECEIVE_PROTOCOL_PSEUDOREFERENCE_CODE REFERENCE_REQUISITE_PSEUDOREFERENCE_CODE REFERENCE_REQUISITES_PSEUDOREFERENCE_CODE REFTYPES_PSEUDOREFERENCE_CODE REPLICATION_SEANCES_DIARY_PSEUDOREFERENCE_CODE SEND_PROTOCOL_PSEUDOREFERENCE_CODE SUBSTITUTES_PSEUDOREFERENCE_CODE SYSTEM_SETTINGS_PSEUDOREFERENCE_CODE UNITS_PSEUDOREFERENCE_CODE USERS_PSEUDOREFERENCE_CODE VIEWERS_PSEUDOREFERENCE_CODE CERTIFICATE_TYPE_ENCRYPT CERTIFICATE_TYPE_SIGN CERTIFICATE_TYPE_SIGN_AND_ENCRYPT STORAGE_TYPE_FILE STORAGE_TYPE_NAS_CIFS STORAGE_TYPE_SAPERION STORAGE_TYPE_SQL_SERVER COMPTYPE2_REQUISITE_DOCUMENTS_VALUE COMPTYPE2_REQUISITE_TASKS_VALUE COMPTYPE2_REQUISITE_FOLDERS_VALUE COMPTYPE2_REQUISITE_REFERENCES_VALUE SYSREQ_CODE SYSREQ_COMPTYPE2 SYSREQ_CONST_AVAILABLE_FOR_WEB SYSREQ_CONST_COMMON_CODE SYSREQ_CONST_COMMON_VALUE SYSREQ_CONST_FIRM_CODE SYSREQ_CONST_FIRM_STATUS SYSREQ_CONST_FIRM_VALUE SYSREQ_CONST_SERVER_STATUS SYSREQ_CONTENTS SYSREQ_DATE_OPEN SYSREQ_DATE_CLOSE SYSREQ_DESCRIPTION SYSREQ_DESCRIPTION_LOCALIZE_ID SYSREQ_DOUBLE SYSREQ_EDOC_ACCESS_TYPE SYSREQ_EDOC_AUTHOR SYSREQ_EDOC_CREATED SYSREQ_EDOC_DELEGATE_RIGHTS_REQUISITE_CODE SYSREQ_EDOC_EDITOR SYSREQ_EDOC_ENCODE_TYPE SYSREQ_EDOC_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_EXPORT_DATE SYSREQ_EDOC_EXPORTER SYSREQ_EDOC_KIND SYSREQ_EDOC_LIFE_STAGE_NAME SYSREQ_EDOC_LOCKED_FOR_SERVER_CODE SYSREQ_EDOC_MODIFIED SYSREQ_EDOC_NAME SYSREQ_EDOC_NOTE SYSREQ_EDOC_QUALIFIED_ID SYSREQ_EDOC_SESSION_KEY SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_NAME SYSREQ_EDOC_SESSION_KEY_ENCRYPTION_PLUGIN_VERSION SYSREQ_EDOC_SIGNATURE_TYPE SYSREQ_EDOC_SIGNED SYSREQ_EDOC_STORAGE SYSREQ_EDOC_STORAGES_ARCHIVE_STORAGE SYSREQ_EDOC_STORAGES_CHECK_RIGHTS SYSREQ_EDOC_STORAGES_COMPUTER_NAME SYSREQ_EDOC_STORAGES_EDIT_IN_STORAGE SYSREQ_EDOC_STORAGES_EXECUTIVE_STORAGE SYSREQ_EDOC_STORAGES_FUNCTION SYSREQ_EDOC_STORAGES_INITIALIZED SYSREQ_EDOC_STORAGES_LOCAL_PATH SYSREQ_EDOC_STORAGES_SAPERION_DATABASE_NAME SYSREQ_EDOC_STORAGES_SEARCH_BY_TEXT SYSREQ_EDOC_STORAGES_SERVER_NAME SYSREQ_EDOC_STORAGES_SHARED_SOURCE_NAME SYSREQ_EDOC_STORAGES_TYPE SYSREQ_EDOC_TEXT_MODIFIED SYSREQ_EDOC_TYPE_ACT_CODE SYSREQ_EDOC_TYPE_ACT_DESCRIPTION SYSREQ_EDOC_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE SYSREQ_EDOC_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_EDOC_TYPE_ACT_SECTION SYSREQ_EDOC_TYPE_ADD_PARAMS SYSREQ_EDOC_TYPE_COMMENT SYSREQ_EDOC_TYPE_EVENT_TEXT SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR SYSREQ_EDOC_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_EDOC_TYPE_NAME_LOCALIZE_ID SYSREQ_EDOC_TYPE_NUMERATION_METHOD SYSREQ_EDOC_TYPE_PSEUDO_REQUISITE_CODE SYSREQ_EDOC_TYPE_REQ_CODE SYSREQ_EDOC_TYPE_REQ_DESCRIPTION SYSREQ_EDOC_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_EDOC_TYPE_REQ_IS_LEADING SYSREQ_EDOC_TYPE_REQ_IS_REQUIRED SYSREQ_EDOC_TYPE_REQ_NUMBER SYSREQ_EDOC_TYPE_REQ_ON_CHANGE SYSREQ_EDOC_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_EDOC_TYPE_REQ_ON_SELECT SYSREQ_EDOC_TYPE_REQ_ON_SELECT_KIND SYSREQ_EDOC_TYPE_REQ_SECTION SYSREQ_EDOC_TYPE_VIEW_CARD SYSREQ_EDOC_TYPE_VIEW_CODE SYSREQ_EDOC_TYPE_VIEW_COMMENT SYSREQ_EDOC_TYPE_VIEW_IS_MAIN SYSREQ_EDOC_TYPE_VIEW_NAME SYSREQ_EDOC_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_EDOC_VERSION_AUTHOR SYSREQ_EDOC_VERSION_CRC SYSREQ_EDOC_VERSION_DATA SYSREQ_EDOC_VERSION_EDITOR SYSREQ_EDOC_VERSION_EXPORT_DATE SYSREQ_EDOC_VERSION_EXPORTER SYSREQ_EDOC_VERSION_HIDDEN SYSREQ_EDOC_VERSION_LIFE_STAGE SYSREQ_EDOC_VERSION_MODIFIED SYSREQ_EDOC_VERSION_NOTE SYSREQ_EDOC_VERSION_SIGNATURE_TYPE SYSREQ_EDOC_VERSION_SIGNED SYSREQ_EDOC_VERSION_SIZE SYSREQ_EDOC_VERSION_SOURCE SYSREQ_EDOC_VERSION_TEXT_MODIFIED SYSREQ_EDOCKIND_DEFAULT_VERSION_STATE_CODE SYSREQ_FOLDER_KIND SYSREQ_FUNC_CATEGORY SYSREQ_FUNC_COMMENT SYSREQ_FUNC_GROUP SYSREQ_FUNC_GROUP_COMMENT SYSREQ_FUNC_GROUP_NUMBER SYSREQ_FUNC_HELP SYSREQ_FUNC_PARAM_DEF_VALUE SYSREQ_FUNC_PARAM_IDENT SYSREQ_FUNC_PARAM_NUMBER SYSREQ_FUNC_PARAM_TYPE SYSREQ_FUNC_TEXT SYSREQ_GROUP_CATEGORY SYSREQ_ID SYSREQ_LAST_UPDATE SYSREQ_LEADER_REFERENCE SYSREQ_LINE_NUMBER SYSREQ_MAIN_RECORD_ID SYSREQ_NAME SYSREQ_NAME_LOCALIZE_ID SYSREQ_NOTE SYSREQ_ORIGINAL_RECORD SYSREQ_OUR_FIRM SYSREQ_PROFILING_SETTINGS_BATCH_LOGING SYSREQ_PROFILING_SETTINGS_BATCH_SIZE SYSREQ_PROFILING_SETTINGS_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_SQL_PROFILING_ENABLED SYSREQ_PROFILING_SETTINGS_START_LOGGED SYSREQ_RECORD_STATUS SYSREQ_REF_REQ_FIELD_NAME SYSREQ_REF_REQ_FORMAT SYSREQ_REF_REQ_GENERATED SYSREQ_REF_REQ_LENGTH SYSREQ_REF_REQ_PRECISION SYSREQ_REF_REQ_REFERENCE SYSREQ_REF_REQ_SECTION SYSREQ_REF_REQ_STORED SYSREQ_REF_REQ_TOKENS SYSREQ_REF_REQ_TYPE SYSREQ_REF_REQ_VIEW SYSREQ_REF_TYPE_ACT_CODE SYSREQ_REF_TYPE_ACT_DESCRIPTION SYSREQ_REF_TYPE_ACT_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_ACT_ON_EXECUTE SYSREQ_REF_TYPE_ACT_ON_EXECUTE_EXISTS SYSREQ_REF_TYPE_ACT_SECTION SYSREQ_REF_TYPE_ADD_PARAMS SYSREQ_REF_TYPE_COMMENT SYSREQ_REF_TYPE_COMMON_SETTINGS SYSREQ_REF_TYPE_DISPLAY_REQUISITE_NAME SYSREQ_REF_TYPE_EVENT_TEXT SYSREQ_REF_TYPE_MAIN_LEADING_REF SYSREQ_REF_TYPE_NAME_IN_SINGULAR SYSREQ_REF_TYPE_NAME_IN_SINGULAR_LOCALIZE_ID SYSREQ_REF_TYPE_NAME_LOCALIZE_ID SYSREQ_REF_TYPE_NUMERATION_METHOD SYSREQ_REF_TYPE_REQ_CODE SYSREQ_REF_TYPE_REQ_DESCRIPTION SYSREQ_REF_TYPE_REQ_DESCRIPTION_LOCALIZE_ID SYSREQ_REF_TYPE_REQ_IS_CONTROL SYSREQ_REF_TYPE_REQ_IS_FILTER SYSREQ_REF_TYPE_REQ_IS_LEADING SYSREQ_REF_TYPE_REQ_IS_REQUIRED SYSREQ_REF_TYPE_REQ_NUMBER SYSREQ_REF_TYPE_REQ_ON_CHANGE SYSREQ_REF_TYPE_REQ_ON_CHANGE_EXISTS SYSREQ_REF_TYPE_REQ_ON_SELECT SYSREQ_REF_TYPE_REQ_ON_SELECT_KIND SYSREQ_REF_TYPE_REQ_SECTION SYSREQ_REF_TYPE_VIEW_CARD SYSREQ_REF_TYPE_VIEW_CODE SYSREQ_REF_TYPE_VIEW_COMMENT SYSREQ_REF_TYPE_VIEW_IS_MAIN SYSREQ_REF_TYPE_VIEW_NAME SYSREQ_REF_TYPE_VIEW_NAME_LOCALIZE_ID SYSREQ_REFERENCE_TYPE_ID SYSREQ_STATE SYSREQ_STATЕ SYSREQ_SYSTEM_SETTINGS_VALUE SYSREQ_TYPE SYSREQ_UNIT SYSREQ_UNIT_ID SYSREQ_USER_GROUPS_GROUP_FULL_NAME SYSREQ_USER_GROUPS_GROUP_NAME SYSREQ_USER_GROUPS_GROUP_SERVER_NAME SYSREQ_USERS_ACCESS_RIGHTS SYSREQ_USERS_AUTHENTICATION SYSREQ_USERS_CATEGORY SYSREQ_USERS_COMPONENT SYSREQ_USERS_COMPONENT_USER_IS_PUBLIC SYSREQ_USERS_DOMAIN SYSREQ_USERS_FULL_USER_NAME SYSREQ_USERS_GROUP SYSREQ_USERS_IS_MAIN_SERVER SYSREQ_USERS_LOGIN SYSREQ_USERS_REFERENCE_USER_IS_PUBLIC SYSREQ_USERS_STATUS SYSREQ_USERS_USER_CERTIFICATE SYSREQ_USERS_USER_CERTIFICATE_INFO SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_NAME SYSREQ_USERS_USER_CERTIFICATE_PLUGIN_VERSION SYSREQ_USERS_USER_CERTIFICATE_STATE SYSREQ_USERS_USER_CERTIFICATE_SUBJECT_NAME SYSREQ_USERS_USER_CERTIFICATE_THUMBPRINT SYSREQ_USERS_USER_DEFAULT_CERTIFICATE SYSREQ_USERS_USER_DESCRIPTION SYSREQ_USERS_USER_GLOBAL_NAME SYSREQ_USERS_USER_LOGIN SYSREQ_USERS_USER_MAIN_SERVER SYSREQ_USERS_USER_TYPE SYSREQ_WORK_RULES_FOLDER_ID RESULT_VAR_NAME RESULT_VAR_NAME_ENG AUTO_NUMERATION_RULE_ID CANT_CHANGE_ID_REQUISITE_RULE_ID CANT_CHANGE_OURFIRM_REQUISITE_RULE_ID CHECK_CHANGING_REFERENCE_RECORD_USE_RULE_ID CHECK_CODE_REQUISITE_RULE_ID CHECK_DELETING_REFERENCE_RECORD_USE_RULE_ID CHECK_FILTRATER_CHANGES_RULE_ID CHECK_RECORD_INTERVAL_RULE_ID CHECK_REFERENCE_INTERVAL_RULE_ID CHECK_REQUIRED_DATA_FULLNESS_RULE_ID CHECK_REQUIRED_REQUISITES_FULLNESS_RULE_ID MAKE_RECORD_UNRATIFIED_RULE_ID RESTORE_AUTO_NUMERATION_RULE_ID SET_FIRM_CONTEXT_FROM_RECORD_RULE_ID SET_FIRST_RECORD_IN_LIST_FORM_RULE_ID SET_IDSPS_VALUE_RULE_ID SET_NEXT_CODE_VALUE_RULE_ID SET_OURFIRM_BOUNDS_RULE_ID SET_OURFIRM_REQUISITE_RULE_ID SCRIPT_BLOCK_AFTER_FINISH_EVENT SCRIPT_BLOCK_BEFORE_START_EVENT SCRIPT_BLOCK_EXECUTION_RESULTS_PROPERTY SCRIPT_BLOCK_NAME_PROPERTY SCRIPT_BLOCK_SCRIPT_PROPERTY SUBTASK_BLOCK_ABORT_DEADLINE_PROPERTY SUBTASK_BLOCK_AFTER_FINISH_EVENT SUBTASK_BLOCK_ASSIGN_PARAMS_EVENT SUBTASK_BLOCK_ATTACHMENTS_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_GROUP_PROPERTY SUBTASK_BLOCK_ATTACHMENTS_RIGHTS_TYPE_PROPERTY SUBTASK_BLOCK_BEFORE_START_EVENT SUBTASK_BLOCK_CREATED_TASK_PROPERTY SUBTASK_BLOCK_CREATION_EVENT SUBTASK_BLOCK_DEADLINE_PROPERTY 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expandwrt_factored expint expintegral_chi expintegral_ci expintegral_e expintegral_e1 expintegral_ei expintegral_e_simplify expintegral_li expintegral_shi expintegral_si explicit explose exponentialize express expt exsec extdiff extract_linear_equations extremal_subset ezgcd %f f90 facsum factcomb factor factorfacsum factorial factorout factorsum facts fast_central_elements fast_linsolve fasttimes featurep fernfale fft fib fibtophi fifth filename_merge file_search file_type fillarray findde find_root find_root_abs find_root_error find_root_rel first fix flatten flength float floatnump floor flower_snark flush flush1deriv flushd flushnd flush_output fmin_cobyla forget fortran fourcos fourexpand fourier fourier_elim fourint fourintcos fourintsin foursimp foursin fourth fposition frame_bracket freeof freshline fresnel_c fresnel_s from_adjacency_matrix frucht_graph full_listify fullmap fullmapl fullratsimp fullratsubst fullsetify funcsolve fundamental_dimensions fundamental_units fundef funmake funp fv g0 g1 gamma gamma_greek gamma_incomplete gamma_incomplete_generalized gamma_incomplete_regularized gauss gauss_a gauss_b gaussprob gcd gcdex gcdivide gcfac gcfactor gd generalized_lambert_w genfact gen_laguerre genmatrix gensym geo_amortization geo_annuity_fv geo_annuity_pv geomap geometric geometric_mean geosum get getcurrentdirectory get_edge_weight getenv get_lu_factors get_output_stream_string get_pixel get_plot_option get_tex_environment get_tex_environment_default get_vertex_label gfactor gfactorsum ggf girth global_variances gn gnuplot_close gnuplot_replot gnuplot_reset gnuplot_restart gnuplot_start go Gosper GosperSum gr2d gr3d gradef gramschmidt graph6_decode graph6_encode graph6_export graph6_import graph_center graph_charpoly graph_eigenvalues graph_flow graph_order graph_periphery graph_product graph_size graph_union great_rhombicosidodecahedron_graph great_rhombicuboctahedron_graph grid_graph grind grobner_basis grotzch_graph hamilton_cycle hamilton_path hankel hankel_1 hankel_2 harmonic harmonic_mean hav heawood_graph hermite hessian hgfred hilbertmap hilbert_matrix hipow histogram histogram_description hodge horner hypergeometric i0 i1 %ibes ic1 ic2 ic_convert ichr1 ichr2 icosahedron_graph icosidodecahedron_graph icurvature ident identfor identity idiff idim idummy ieqn %if ifactors iframes ifs igcdex igeodesic_coords ilt image imagpart imetric implicit implicit_derivative implicit_plot indexed_tensor indices induced_subgraph inferencep inference_result infix info_display init_atensor init_ctensor in_neighbors innerproduct inpart inprod inrt integerp integer_partitions integrate intersect intersection intervalp intopois intosum invariant1 invariant2 inverse_fft inverse_jacobi_cd inverse_jacobi_cn inverse_jacobi_cs inverse_jacobi_dc inverse_jacobi_dn inverse_jacobi_ds inverse_jacobi_nc inverse_jacobi_nd inverse_jacobi_ns inverse_jacobi_sc inverse_jacobi_sd inverse_jacobi_sn invert invert_by_adjoint invert_by_lu inv_mod irr is is_biconnected is_bipartite is_connected is_digraph is_edge_in_graph is_graph is_graph_or_digraph ishow is_isomorphic isolate isomorphism is_planar isqrt isreal_p is_sconnected is_tree is_vertex_in_graph items_inference %j j0 j1 jacobi jacobian jacobi_cd jacobi_cn jacobi_cs jacobi_dc jacobi_dn jacobi_ds jacobi_nc jacobi_nd jacobi_ns jacobi_p jacobi_sc jacobi_sd jacobi_sn JF jn join jordan julia julia_set julia_sin %k kdels kdelta kill killcontext kostka kron_delta kronecker_product kummer_m kummer_u kurtosis kurtosis_bernoulli kurtosis_beta kurtosis_binomial kurtosis_chi2 kurtosis_continuous_uniform kurtosis_discrete_uniform kurtosis_exp kurtosis_f kurtosis_gamma kurtosis_general_finite_discrete kurtosis_geometric kurtosis_gumbel kurtosis_hypergeometric kurtosis_laplace kurtosis_logistic kurtosis_lognormal kurtosis_negative_binomial kurtosis_noncentral_chi2 kurtosis_noncentral_student_t kurtosis_normal kurtosis_pareto kurtosis_poisson kurtosis_rayleigh kurtosis_student_t kurtosis_weibull label labels lagrange laguerre lambda lambert_w laplace laplacian_matrix last lbfgs lc2kdt lcharp lc_l lcm lc_u ldefint ldisp ldisplay legendre_p legendre_q leinstein length let letrules letsimp levi_civita lfreeof lgtreillis lhs li liediff limit Lindstedt linear linearinterpol linear_program linear_regression line_graph linsolve listarray list_correlations listify list_matrix_entries list_nc_monomials listoftens listofvars listp lmax lmin load loadfile local locate_matrix_entry log logcontract log_gamma lopow lorentz_gauge lowercasep lpart lratsubst lreduce lriemann lsquares_estimates lsquares_estimates_approximate lsquares_estimates_exact lsquares_mse lsquares_residual_mse lsquares_residuals lsum ltreillis lu_backsub lucas lu_factor %m macroexpand macroexpand1 make_array makebox makefact makegamma make_graph make_level_picture makelist makeOrders make_poly_continent make_poly_country make_polygon make_random_state make_rgb_picture makeset make_string_input_stream make_string_output_stream make_transform mandelbrot mandelbrot_set map mapatom maplist matchdeclare matchfix mat_cond mat_fullunblocker mat_function mathml_display mat_norm matrix matrixmap matrixp matrix_size mattrace mat_trace mat_unblocker max max_clique max_degree max_flow maximize_lp max_independent_set max_matching maybe md5sum mean mean_bernoulli mean_beta mean_binomial mean_chi2 mean_continuous_uniform mean_deviation mean_discrete_uniform mean_exp mean_f mean_gamma mean_general_finite_discrete mean_geometric mean_gumbel mean_hypergeometric mean_laplace mean_logistic mean_lognormal mean_negative_binomial mean_noncentral_chi2 mean_noncentral_student_t mean_normal mean_pareto mean_poisson mean_rayleigh mean_student_t mean_weibull median median_deviation member mesh metricexpandall mgf1_sha1 min min_degree min_edge_cut minfactorial minimalPoly minimize_lp minimum_spanning_tree minor minpack_lsquares minpack_solve min_vertex_cover min_vertex_cut mkdir mnewton mod mode_declare mode_identity ModeMatrix moebius mon2schur mono monomial_dimensions multibernstein_poly multi_display_for_texinfo multi_elem multinomial multinomial_coeff multi_orbit multiplot_mode multi_pui multsym multthru mycielski_graph nary natural_unit nc_degree ncexpt ncharpoly negative_picture neighbors new newcontext newdet new_graph newline newton new_variable next_prime nicedummies niceindices ninth nofix nonarray noncentral_moment nonmetricity nonnegintegerp nonscalarp nonzeroandfreeof notequal nounify nptetrad npv nroots nterms ntermst nthroot nullity nullspace num numbered_boundaries numberp number_to_octets num_distinct_partitions numerval numfactor num_partitions nusum nzeta nzetai nzetar octets_to_number octets_to_oid odd_girth oddp ode2 ode_check odelin oid_to_octets op opena opena_binary openr openr_binary openw openw_binary operatorp opsubst optimize %or orbit orbits ordergreat ordergreatp orderless orderlessp orthogonal_complement orthopoly_recur orthopoly_weight outermap out_neighbors outofpois pade parabolic_cylinder_d parametric parametric_surface parg parGosper parse_string parse_timedate part part2cont partfrac partition partition_set partpol path_digraph path_graph pathname_directory pathname_name pathname_type pdf_bernoulli pdf_beta pdf_binomial pdf_cauchy pdf_chi2 pdf_continuous_uniform pdf_discrete_uniform pdf_exp pdf_f pdf_gamma pdf_general_finite_discrete pdf_geometric pdf_gumbel pdf_hypergeometric pdf_laplace pdf_logistic pdf_lognormal pdf_negative_binomial pdf_noncentral_chi2 pdf_noncentral_student_t pdf_normal pdf_pareto pdf_poisson pdf_rank_sum pdf_rayleigh pdf_signed_rank pdf_student_t pdf_weibull pearson_skewness permanent permut permutation permutations petersen_graph petrov pickapart picture_equalp picturep piechart piechart_description planar_embedding playback plog plot2d plot3d plotdf ploteq plsquares pochhammer points poisdiff poisexpt poisint poismap poisplus poissimp poissubst poistimes poistrim polar polarform polartorect 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qty quad_control quad_qag quad_qagi quad_qagp quad_qags quad_qawc quad_qawf quad_qawo quad_qaws quadrilateral quantile quantile_bernoulli quantile_beta quantile_binomial quantile_cauchy quantile_chi2 quantile_continuous_uniform quantile_discrete_uniform quantile_exp quantile_f quantile_gamma quantile_general_finite_discrete quantile_geometric quantile_gumbel quantile_hypergeometric quantile_laplace quantile_logistic quantile_lognormal quantile_negative_binomial quantile_noncentral_chi2 quantile_noncentral_student_t quantile_normal quantile_pareto quantile_poisson quantile_rayleigh quantile_student_t quantile_weibull quartile_skewness quit qunit quotient racah_v racah_w radcan radius random random_bernoulli random_beta random_binomial random_bipartite_graph random_cauchy random_chi2 random_continuous_uniform random_digraph random_discrete_uniform random_exp random_f random_gamma random_general_finite_discrete random_geometric random_graph random_graph1 random_gumbel random_hypergeometric random_laplace random_logistic random_lognormal random_negative_binomial random_network random_noncentral_chi2 random_noncentral_student_t random_normal random_pareto random_permutation random_poisson random_rayleigh random_regular_graph random_student_t random_tournament random_tree random_weibull range rank rat ratcoef ratdenom ratdiff ratdisrep ratexpand ratinterpol rational rationalize ratnumer ratnump ratp ratsimp ratsubst ratvars ratweight read read_array read_binary_array read_binary_list read_binary_matrix readbyte readchar read_hashed_array readline read_list read_matrix read_nested_list readonly read_xpm real_imagpart_to_conjugate realpart realroots rearray rectangle rectform rectform_log_if_constant recttopolar rediff reduce_consts reduce_order region region_boundaries region_boundaries_plus rem remainder remarray rembox remcomps remcon remcoord remfun remfunction remlet remove remove_constvalue remove_dimensions remove_edge remove_fundamental_dimensions remove_fundamental_units remove_plot_option remove_vertex rempart remrule remsym remvalue rename rename_file reset reset_displays residue resolvante resolvante_alternee1 resolvante_bipartite resolvante_diedrale resolvante_klein resolvante_klein3 resolvante_produit_sym resolvante_unitaire resolvante_vierer rest resultant return reveal reverse revert revert2 rgb2level rhs ricci riemann rinvariant risch rk rmdir rncombine romberg room rootscontract round row rowop rowswap rreduce run_testsuite %s save saving scalarp scaled_bessel_i scaled_bessel_i0 scaled_bessel_i1 scalefactors scanmap scatterplot scatterplot_description scene schur2comp sconcat scopy scsimp scurvature sdowncase sec sech second sequal sequalignore set_alt_display setdifference set_draw_defaults set_edge_weight setelmx setequalp setify setp set_partitions set_plot_option set_prompt set_random_state set_tex_environment set_tex_environment_default setunits setup_autoload set_up_dot_simplifications set_vertex_label seventh sexplode sf sha1sum sha256sum shortest_path shortest_weighted_path show showcomps showratvars sierpinskiale sierpinskimap sign signum similaritytransform simp_inequality simplify_sum simplode simpmetderiv simtran sin sinh sinsert sinvertcase sixth skewness skewness_bernoulli skewness_beta skewness_binomial skewness_chi2 skewness_continuous_uniform skewness_discrete_uniform skewness_exp skewness_f skewness_gamma skewness_general_finite_discrete skewness_geometric skewness_gumbel skewness_hypergeometric skewness_laplace skewness_logistic skewness_lognormal skewness_negative_binomial skewness_noncentral_chi2 skewness_noncentral_student_t skewness_normal skewness_pareto skewness_poisson skewness_rayleigh skewness_student_t skewness_weibull slength smake small_rhombicosidodecahedron_graph small_rhombicuboctahedron_graph smax smin smismatch snowmap snub_cube_graph snub_dodecahedron_graph solve solve_rec solve_rec_rat some somrac sort 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drawPolygon drawRectangle drawTriangle driver drop dynamicSimulationDistance dynamicSimulationDistanceCoef dynamicSimulationEnabled dynamicSimulationSystemEnabled echo edit3DENMissionAttributes editObject editorSetEventHandler effectiveCommander elevatePeriscope emptyPositions enableAI enableAIFeature enableAimPrecision enableAttack enableAudioFeature enableAutoStartUpRTD enableAutoTrimRTD enableCamShake enableCaustics enableChannel enableCollisionWith enableCopilot enableDebriefingStats enableDiagLegend enableDirectionStabilization enableDynamicSimulation enableDynamicSimulationSystem enableEndDialog enableEngineArtillery enableEnvironment enableFatigue enableGunLights enableInfoPanelComponent enableIRLasers enableMimics enablePersonTurret enableRadio enableReload enableRopeAttach enableSatNormalOnDetail enableSaving enableSentences enableSimulation enableSimulationGlobal enableStamina enableStressDamage enableTeamSwitch enableTraffic enableUAVConnectability enableUAVWaypoints enableVehicleCargo enableVehicleSensor enableWeaponDisassembly endLoadingScreen endMission engineOn enginesIsOnRTD enginesPowerRTD enginesRpmRTD enginesTorqueRTD entities environmentEnabled environmentVolume equipmentDisabled estimatedEndServerTime estimatedTimeLeft evalObjectArgument everyBackpack everyContainer exec execEditorScript execFSM execVM exp expectedDestination exportJIPMessages eyeDirection eyePos face faction fadeEnvironment fadeMusic fadeRadio fadeSound fadeSpeech failMission fileExists fillWeaponsFromPool find findAny findCover findDisplay findEditorObject findEmptyPosition findEmptyPositionReady findIf findNearestEnemy finishMissionInit finite fire fireAtTarget firstBackpack flag flagAnimationPhase flagOwner flagSide flagTexture flatten fleeing floor flyInHeight flyInHeightASL focusedCtrl fog fogForecast fogParams forceAddUniform forceAtPositionRTD forceCadetDifficulty forcedMap forceEnd forceFlagTexture forceFollowRoad forceGeneratorRTD forceMap forceRespawn forceSpeed forceUnicode forceWalk forceWeaponFire forceWeatherChange forEachMember forEachMemberAgent forEachMemberTeam forgetTarget format formation formationDirection formationLeader formationMembers formationPosition formationTask formatText formLeader freeExtension freeLook fromEditor fuel fullCrew gearIDCAmmoCount gearSlotAmmoCount gearSlotData gestureState get get3DENActionState get3DENAttribute get3DENCamera get3DENConnections get3DENEntity get3DENEntityID get3DENGrid get3DENIconsVisible get3DENLayerEntities get3DENLinesVisible get3DENMissionAttribute get3DENMouseOver get3DENSelected getAimingCoef getAllEnv3DSoundControllers getAllEnvSoundControllers getAllHitPointsDamage getAllOwnedMines getAllPylonsInfo getAllSoundControllers getAllUnitTraits getAmmoCargo getAnimAimPrecision getAnimSpeedCoef getArray getArtilleryAmmo getArtilleryComputerSettings getArtilleryETA getAssetDLCInfo getAssignedCuratorLogic getAssignedCuratorUnit getAttackTarget getAudioOptionVolumes getBackpackCargo getBleedingRemaining getBurningValue getCalculatePlayerVisibilityByFriendly getCameraViewDirection getCargoIndex getCenterOfMass getClientState getClientStateNumber getCompatiblePylonMagazines getConnectedUAV getConnectedUAVUnit getContainerMaxLoad getCorpse getCruiseControl getCursorObjectParams getCustomAimCoef getCustomSoundController getCustomSoundControllerCount getDammage getDebriefingText getDescription getDir getDirVisual getDiverState getDLCAssetsUsage getDLCAssetsUsageByName getDLCs getDLCUsageTime getEditorCamera getEditorMode getEditorObjectScope getElevationOffset getEngineTargetRPMRTD getEnv3DSoundController getEnvSoundController getEventHandlerInfo getFatigue getFieldManualStartPage getForcedFlagTexture getForcedSpeed getFriend getFSMVariable getFuelCargo getGraphValues getGroupIcon getGroupIconParams getGroupIcons getHideFrom getHit getHitIndex getHitPointDamage getItemCargo getLighting getLightingAt getLoadedModsInfo getMagazineCargo getMarkerColor getMarkerPos getMarkerSize getMarkerType getMass getMissionConfig getMissionConfigValue getMissionDLCs getMissionLayerEntities getMissionLayers getMissionPath getModelInfo getMousePosition getMusicPlayedTime getNumber getObjectArgument getObjectChildren getObjectDLC getObjectFOV getObjectID getObjectMaterials getObjectProxy getObjectScale getObjectTextures getObjectType getObjectViewDistance getOpticsMode getOrDefault getOrDefaultCall getOxygenRemaining getPersonUsedDLCs getPilotCameraDirection getPilotCameraPosition getPilotCameraRotation getPilotCameraTarget getPiPViewDistance getPlateNumber getPlayerChannel getPlayerID getPlayerScores getPlayerUID getPlayerVoNVolume getPos getPosASL getPosASLVisual getPosASLW getPosATL getPosATLVisual getPosVisual getPosWorld getPosWorldVisual getPylonMagazines getRelDir getRelPos getRemoteSensorsDisabled getRepairCargo getResolution getRoadInfo getRotorBrakeRTD getSensorTargets getSensorThreats getShadowDistance getShotParents getSlingLoad getSoundController getSoundControllerResult getSpeed getStamina getStatValue getSteamFriendsServers getSubtitleOptions getSuppression getTerrainGrid getTerrainHeight getTerrainHeightASL getTerrainInfo getText getTextRaw getTextureInfo getTextWidth getTiParameters getTotalDLCUsageTime getTrimOffsetRTD getTurretLimits getTurretOpticsMode getUnitFreefallInfo getUnitLoadout getUnitTrait getUnloadInCombat getUserInfo getUserMFDText getUserMFDValue getVariable getVehicleCargo getVehicleTiPars getWeaponCargo getWeaponSway getWingsOrientationRTD getWingsPositionRTD getWPPos glanceAt globalChat globalRadio goggles goto group groupChat groupFromNetId groupIconSelectable groupIconsVisible groupID groupOwner groupRadio groups groupSelectedUnits groupSelectUnit gunner gusts halt handgunItems handgunMagazine handgunWeapon handsHit hashValue hasInterface hasPilotCamera hasWeapon hcAllGroups hcGroupParams hcLeader hcRemoveAllGroups hcRemoveGroup hcSelected hcSelectGroup hcSetGroup hcShowBar hcShownBar headgear hideBody hideObject hideObjectGlobal hideSelection hint hintC hintCadet hintSilent hmd hostMission htmlLoad HUDMovementLevels humidity image importAllGroups importance in inArea inAreaArray incapacitatedState inflame inflamed infoPanel infoPanelComponentEnabled infoPanelComponents infoPanels inGameUISetEventHandler inheritsFrom initAmbientLife inPolygon inputAction inputController inputMouse inRangeOfArtillery insert insertEditorObject intersect is3DEN is3DENMultiplayer is3DENPreview isAbleToBreathe isActionMenuVisible isAgent isAimPrecisionEnabled isAllowedCrewInImmobile isArray isAutoHoverOn isAutonomous isAutoStartUpEnabledRTD isAutotest isAutoTrimOnRTD isAwake isBleeding isBurning isClass isCollisionLightOn isCopilotEnabled isDamageAllowed isDedicated isDLCAvailable isEngineOn isEqualRef isEqualTo isEqualType isEqualTypeAll isEqualTypeAny isEqualTypeArray isEqualTypeParams isFilePatchingEnabled isFinal isFlashlightOn isFlatEmpty isForcedWalk isFormationLeader isGameFocused isGamePaused isGroupDeletedWhenEmpty isHidden isInRemainsCollector isInstructorFigureEnabled isIRLaserOn isKeyActive isKindOf isLaserOn isLightOn isLocalized isManualFire isMarkedForCollection isMissionProfileNamespaceLoaded isMultiplayer isMultiplayerSolo isNil isNotEqualRef isNotEqualTo isNull isNumber isObjectHidden isObjectRTD isOnRoad isPiPEnabled isPlayer isRealTime isRemoteExecuted isRemoteExecutedJIP isSaving isSensorTargetConfirmed isServer isShowing3DIcons isSimpleObject isSprintAllowed isStaminaEnabled isSteamMission isSteamOverlayEnabled isStreamFriendlyUIEnabled isStressDamageEnabled isText isTouchingGround isTurnedOut isTutHintsEnabled isUAVConnectable isUAVConnected isUIContext isUniformAllowed isVehicleCargo isVehicleRadarOn isVehicleSensorEnabled isWalking isWeaponDeployed isWeaponRested itemCargo items itemsWithMagazines join joinAs joinAsSilent joinSilent joinString kbAddDatabase kbAddDatabaseTargets kbAddTopic kbHasTopic kbReact kbRemoveTopic kbTell kbWasSaid keyImage keyName keys knowsAbout land landAt landResult language laserTarget lbAdd lbClear lbColor lbColorRight lbCurSel lbData lbDelete lbIsSelected lbPicture lbPictureRight lbSelection lbSetColor lbSetColorRight lbSetCurSel lbSetData lbSetPicture lbSetPictureColor lbSetPictureColorDisabled lbSetPictureColorSelected lbSetPictureRight lbSetPictureRightColor lbSetPictureRightColorDisabled lbSetPictureRightColorSelected lbSetSelectColor lbSetSelectColorRight lbSetSelected lbSetText lbSetTextRight lbSetTooltip lbSetValue lbSize lbSort lbSortBy lbSortByValue lbText lbTextRight lbTooltip lbValue leader leaderboardDeInit leaderboardGetRows leaderboardInit leaderboardRequestRowsFriends leaderboardRequestRowsGlobal leaderboardRequestRowsGlobalAroundUser leaderboardsRequestUploadScore leaderboardsRequestUploadScoreKeepBest leaderboardState leaveVehicle libraryCredits libraryDisclaimers lifeState lightAttachObject lightDetachObject lightIsOn lightnings limitSpeed linearConversion lineIntersects lineIntersectsObjs lineIntersectsSurfaces lineIntersectsWith linkItem list listObjects listRemoteTargets listVehicleSensors ln lnbAddArray lnbAddColumn lnbAddRow lnbClear lnbColor lnbColorRight lnbCurSelRow lnbData lnbDeleteColumn lnbDeleteRow lnbGetColumnsPosition lnbPicture lnbPictureRight lnbSetColor lnbSetColorRight lnbSetColumnsPos lnbSetCurSelRow lnbSetData lnbSetPicture lnbSetPictureColor lnbSetPictureColorRight lnbSetPictureColorSelected lnbSetPictureColorSelectedRight lnbSetPictureRight lnbSetText lnbSetTextRight lnbSetTooltip lnbSetValue lnbSize lnbSort lnbSortBy lnbSortByValue lnbText lnbTextRight lnbValue load loadAbs loadBackpack loadConfig loadFile loadGame loadIdentity loadMagazine loadOverlay loadStatus loadUniform loadVest localize localNamespace locationPosition lock lockCameraTo lockCargo lockDriver locked lockedCameraTo lockedCargo lockedDriver lockedInventory lockedTurret lockIdentity lockInventory lockTurret lockWp log logEntities logNetwork logNetworkTerminate lookAt lookAtPos magazineCargo magazines magazinesAllTurrets magazinesAmmo magazinesAmmoCargo magazinesAmmoFull magazinesDetail magazinesDetailBackpack magazinesDetailUniform magazinesDetailVest magazinesTurret magazineTurretAmmo mapAnimAdd mapAnimClear mapAnimCommit mapAnimDone mapCenterOnCamera mapGridPosition markAsFinishedOnSteam markerAlpha markerBrush markerChannel markerColor markerDir markerPolyline markerPos markerShadow markerShape markerSize markerText markerType matrixMultiply matrixTranspose max maxLoad members menuAction menuAdd menuChecked menuClear menuCollapse menuData menuDelete menuEnable menuEnabled menuExpand menuHover menuPicture menuSetAction menuSetCheck menuSetData menuSetPicture menuSetShortcut menuSetText menuSetURL menuSetValue menuShortcut menuShortcutText menuSize menuSort menuText menuURL menuValue merge min mineActive mineDetectedBy missileTarget missileTargetPos missionConfigFile missionDifficulty missionEnd missionName missionNameSource missionNamespace missionProfileNamespace missionStart missionVersion mod modelToWorld modelToWorldVisual modelToWorldVisualWorld modelToWorldWorld modParams moonIntensity moonPhase morale move move3DENCamera moveInAny moveInCargo moveInCommander moveInDriver moveInGunner moveInTurret moveObjectToEnd moveOut moveTime moveTo moveToCompleted moveToFailed musicVolume name namedProperties nameSound nearEntities nearestBuilding nearestLocation nearestLocations nearestLocationWithDubbing nearestMines nearestObject nearestObjects nearestTerrainObjects nearObjects nearObjectsReady nearRoads nearSupplies nearTargets needReload needService netId netObjNull newOverlay nextMenuItemIndex nextWeatherChange nMenuItems not numberOfEnginesRTD numberToDate objectCurators objectFromNetId objectParent objStatus onBriefingGroup onBriefingNotes onBriefingPlan onBriefingTeamSwitch onCommandModeChanged onDoubleClick onEachFrame onGroupIconClick onGroupIconOverEnter onGroupIconOverLeave onHCGroupSelectionChanged onMapSingleClick onPlayerConnected onPlayerDisconnected onPreloadFinished onPreloadStarted onShowNewObject onTeamSwitch openCuratorInterface openDLCPage openGPS openMap openSteamApp openYoutubeVideo or orderGetIn overcast overcastForecast owner param params parseNumber parseSimpleArray parseText parsingNamespace particlesQuality periscopeElevation pickWeaponPool pitch pixelGrid pixelGridBase pixelGridNoUIScale pixelH pixelW playableSlotsNumber playableUnits playAction playActionNow player playerRespawnTime playerSide playersNumber playGesture playMission playMove playMoveNow playMusic playScriptedMission playSound playSound3D playSoundUI pose position positionCameraToWorld posScreenToWorld posWorldToScreen ppEffectAdjust ppEffectCommit ppEffectCommitted ppEffectCreate ppEffectDestroy ppEffectEnable ppEffectEnabled ppEffectForceInNVG precision preloadCamera preloadObject preloadSound preloadTitleObj preloadTitleRsc preprocessFile preprocessFileLineNumbers primaryWeapon primaryWeaponItems primaryWeaponMagazine priority processDiaryLink productVersion profileName profileNamespace profileNameSteam progressLoadingScreen progressPosition progressSetPosition publicVariable publicVariableClient publicVariableServer pushBack pushBackUnique putWeaponPool queryItemsPool queryMagazinePool queryWeaponPool rad radioChannelAdd radioChannelCreate radioChannelInfo radioChannelRemove radioChannelSetCallSign radioChannelSetLabel radioEnabled radioVolume rain rainbow rainParams random rank rankId rating rectangular regexFind regexMatch regexReplace registeredTasks registerTask reload reloadEnabled remoteControl remoteExec remoteExecCall remoteExecutedOwner remove3DENConnection remove3DENEventHandler remove3DENLayer removeAction removeAll3DENEventHandlers removeAllActions removeAllAssignedItems removeAllBinocularItems removeAllContainers removeAllCuratorAddons removeAllCuratorCameraAreas removeAllCuratorEditingAreas removeAllEventHandlers removeAllHandgunItems removeAllItems removeAllItemsWithMagazines removeAllMissionEventHandlers removeAllMPEventHandlers removeAllMusicEventHandlers removeAllOwnedMines removeAllPrimaryWeaponItems removeAllSecondaryWeaponItems removeAllUserActionEventHandlers removeAllWeapons removeBackpack removeBackpackGlobal removeBinocularItem removeCuratorAddons removeCuratorCameraArea removeCuratorEditableObjects removeCuratorEditingArea removeDiaryRecord removeDiarySubject removeDrawIcon removeDrawLinks removeEventHandler removeFromRemainsCollector removeGoggles removeGroupIcon removeHandgunItem removeHeadgear removeItem removeItemFromBackpack removeItemFromUniform removeItemFromVest removeItems removeMagazine removeMagazineGlobal removeMagazines removeMagazinesTurret removeMagazineTurret removeMenuItem removeMissionEventHandler removeMPEventHandler removeMusicEventHandler removeOwnedMine removePrimaryWeaponItem removeSecondaryWeaponItem removeSimpleTask removeSwitchableUnit removeTeamMember removeUniform removeUserActionEventHandler removeVest removeWeapon removeWeaponAttachmentCargo removeWeaponCargo removeWeaponGlobal removeWeaponTurret reportRemoteTarget requiredVersion resetCamShake resetSubgroupDirection resize resources respawnVehicle restartEditorCamera reveal revealMine reverse reversedMouseY roadAt roadsConnectedTo roleDescription ropeAttachedObjects ropeAttachedTo ropeAttachEnabled ropeAttachTo ropeCreate ropeCut ropeDestroy ropeDetach ropeEndPosition ropeLength ropes ropesAttachedTo ropeSegments ropeUnwind ropeUnwound rotorsForcesRTD rotorsRpmRTD round runInitScript safeZoneH safeZoneW safeZoneWAbs safeZoneX safeZoneXAbs safeZoneY save3DENInventory saveGame saveIdentity saveJoysticks saveMissionProfileNamespace saveOverlay saveProfileNamespace saveStatus saveVar savingEnabled say say2D say3D scopeName score scoreSide screenshot screenToWorld scriptDone scriptName scudState secondaryWeapon secondaryWeaponItems secondaryWeaponMagazine select selectBestPlaces selectDiarySubject selectedEditorObjects selectEditorObject selectionNames selectionPosition selectionVectorDirAndUp selectLeader selectMax selectMin selectNoPlayer selectPlayer selectRandom selectRandomWeighted selectWeapon selectWeaponTurret sendAUMessage sendSimpleCommand sendTask sendTaskResult sendUDPMessage sentencesEnabled serverCommand serverCommandAvailable serverCommandExecutable serverName serverNamespace serverTime set set3DENAttribute set3DENAttributes set3DENGrid set3DENIconsVisible set3DENLayer set3DENLinesVisible set3DENLogicType set3DENMissionAttribute set3DENMissionAttributes set3DENModelsVisible set3DENObjectType set3DENSelected setAccTime setActualCollectiveRTD setAirplaneThrottle setAirportSide setAmmo setAmmoCargo setAmmoOnPylon setAnimSpeedCoef setAperture setApertureNew setArmoryPoints setAttributes setAutonomous setBehaviour setBehaviourStrong setBleedingRemaining setBrakesRTD setCameraInterest setCamShakeDefParams setCamShakeParams setCamUseTi setCaptive setCenterOfMass setCollisionLight setCombatBehaviour setCombatMode setCompassOscillation setConvoySeparation setCruiseControl setCuratorCameraAreaCeiling setCuratorCoef setCuratorEditingAreaType setCuratorWaypointCost setCurrentChannel setCurrentTask setCurrentWaypoint setCustomAimCoef SetCustomMissionData setCustomSoundController setCustomWeightRTD setDamage setDammage setDate setDebriefingText setDefaultCamera setDestination setDetailMapBlendPars setDiaryRecordText setDiarySubjectPicture setDir setDirection setDrawIcon setDriveOnPath setDropInterval setDynamicSimulationDistance setDynamicSimulationDistanceCoef setEditorMode setEditorObjectScope setEffectCondition setEffectiveCommander setEngineRpmRTD setFace setFaceanimation setFatigue setFeatureType setFlagAnimationPhase setFlagOwner setFlagSide setFlagTexture setFog setForceGeneratorRTD setFormation setFormationTask setFormDir setFriend setFromEditor setFSMVariable setFuel setFuelCargo setGroupIcon setGroupIconParams setGroupIconsSelectable setGroupIconsVisible setGroupid setGroupIdGlobal setGroupOwner setGusts setHideBehind setHit setHitIndex setHitPointDamage setHorizonParallaxCoef setHUDMovementLevels setHumidity setIdentity setImportance setInfoPanel setLeader setLightAmbient setLightAttenuation setLightBrightness setLightColor setLightConePars setLightDayLight setLightFlareMaxDistance setLightFlareSize setLightIntensity setLightIR setLightnings setLightUseFlare setLightVolumeShape setLocalWindParams setMagazineTurretAmmo setMarkerAlpha setMarkerAlphaLocal setMarkerBrush setMarkerBrushLocal setMarkerColor setMarkerColorLocal setMarkerDir setMarkerDirLocal setMarkerPolyline setMarkerPolylineLocal setMarkerPos setMarkerPosLocal setMarkerShadow setMarkerShadowLocal setMarkerShape setMarkerShapeLocal setMarkerSize setMarkerSizeLocal setMarkerText setMarkerTextLocal setMarkerType setMarkerTypeLocal setMass setMaxLoad setMimic setMissileTarget setMissileTargetPos setMousePosition setMusicEffect setMusicEventHandler setName setNameSound setObjectArguments setObjectMaterial setObjectMaterialGlobal setObjectProxy setObjectScale setObjectTexture setObjectTextureGlobal setObjectViewDistance setOpticsMode setOvercast setOwner setOxygenRemaining setParticleCircle setParticleClass setParticleFire setParticleParams setParticleRandom setPilotCameraDirection setPilotCameraRotation setPilotCameraTarget setPilotLight setPiPEffect setPiPViewDistance setPitch setPlateNumber setPlayable setPlayerRespawnTime setPlayerVoNVolume setPos setPosASL setPosASL2 setPosASLW setPosATL setPosition setPosWorld setPylonLoadout setPylonsPriority setRadioMsg setRain setRainbow setRandomLip setRank setRectangular setRepairCargo setRotorBrakeRTD setShadowDistance setShotParents setSide setSimpleTaskAlwaysVisible setSimpleTaskCustomData setSimpleTaskDescription setSimpleTaskDestination setSimpleTaskTarget setSimpleTaskType setSimulWeatherLayers setSize setSkill setSlingLoad setSoundEffect setSpeaker setSpeech setSpeedMode setStamina setStaminaScheme setStatValue setSuppression setSystemOfUnits setTargetAge setTaskMarkerOffset setTaskResult setTaskState setTerrainGrid setTerrainHeight setText setTimeMultiplier setTiParameter setTitleEffect setTowParent setTrafficDensity setTrafficDistance setTrafficGap setTrafficSpeed setTriggerActivation setTriggerArea setTriggerInterval setTriggerStatements setTriggerText setTriggerTimeout setTriggerType setTurretLimits setTurretOpticsMode setType setUnconscious setUnitAbility setUnitCombatMode setUnitFreefallHeight setUnitLoadout setUnitPos setUnitPosWeak setUnitRank setUnitRecoilCoefficient setUnitTrait setUnloadInCombat setUserActionText setUserMFDText setUserMFDValue setVariable setVectorDir setVectorDirAndUp setVectorUp setVehicleAmmo setVehicleAmmoDef setVehicleArmor setVehicleCargo setVehicleId setVehicleLock setVehiclePosition setVehicleRadar setVehicleReceiveRemoteTargets setVehicleReportOwnPosition setVehicleReportRemoteTargets setVehicleTiPars setVehicleVarName setVelocity setVelocityModelSpace setVelocityTransformation setViewDistance setVisibleIfTreeCollapsed setWantedRPMRTD setWaves setWaypointBehaviour setWaypointCombatMode setWaypointCompletionRadius setWaypointDescription setWaypointForceBehaviour setWaypointFormation setWaypointHousePosition setWaypointLoiterAltitude setWaypointLoiterRadius setWaypointLoiterType setWaypointName setWaypointPosition setWaypointScript setWaypointSpeed setWaypointStatements setWaypointTimeout setWaypointType setWaypointVisible setWeaponReloadingTime setWeaponZeroing setWind setWindDir setWindForce setWindStr setWingForceScaleRTD setWPPos show3DIcons showChat showCinemaBorder showCommandingMenu showCompass showCuratorCompass showGps showHUD showLegend showMap shownArtilleryComputer shownChat shownCompass shownCuratorCompass showNewEditorObject shownGps shownHUD shownMap shownPad shownRadio shownScoretable shownSubtitles shownUAVFeed shownWarrant shownWatch showPad showRadio showScoretable showSubtitles showUAVFeed showWarrant showWatch showWaypoint showWaypoints side sideChat sideRadio simpleTasks simulationEnabled simulCloudDensity simulCloudOcclusion simulInClouds simulWeatherSync sin size sizeOf skill skillFinal skipTime sleep sliderPosition sliderRange sliderSetPosition sliderSetRange sliderSetSpeed sliderSpeed slingLoadAssistantShown soldierMagazines someAmmo sort soundVolume spawn speaker speechVolume speed speedMode splitString sqrt squadParams stance startLoadingScreen stop stopEngineRTD stopped str sunOrMoon supportInfo suppressFor surfaceIsWater surfaceNormal surfaceTexture surfaceType swimInDepth switchableUnits switchAction switchCamera switchGesture switchLight switchMove synchronizedObjects synchronizedTriggers synchronizedWaypoints synchronizeObjectsAdd synchronizeObjectsRemove synchronizeTrigger synchronizeWaypoint systemChat systemOfUnits systemTime systemTimeUTC tan targetKnowledge targets targetsAggregate targetsQuery taskAlwaysVisible taskChildren taskCompleted taskCustomData taskDescription taskDestination taskHint taskMarkerOffset taskName taskParent taskResult taskState taskType teamMember teamName teams teamSwitch teamSwitchEnabled teamType terminate terrainIntersect terrainIntersectASL terrainIntersectAtASL text textLog textLogFormat tg time timeMultiplier titleCut titleFadeOut titleObj titleRsc titleText toArray toFixed toLower toLowerANSI toString toUpper toUpperANSI triggerActivated triggerActivation triggerAmmo triggerArea triggerAttachedVehicle triggerAttachObject triggerAttachVehicle triggerDynamicSimulation triggerInterval triggerStatements triggerText triggerTimeout triggerTimeoutCurrent triggerType trim turretLocal turretOwner turretUnit tvAdd tvClear tvCollapse tvCollapseAll tvCount tvCurSel tvData tvDelete tvExpand tvExpandAll tvIsSelected tvPicture tvPictureRight tvSelection tvSetColor tvSetCurSel tvSetData tvSetPicture tvSetPictureColor tvSetPictureColorDisabled tvSetPictureColorSelected tvSetPictureRight tvSetPictureRightColor tvSetPictureRightColorDisabled tvSetPictureRightColorSelected tvSetSelectColor tvSetSelected tvSetText tvSetTooltip tvSetValue tvSort tvSortAll tvSortByValue tvSortByValueAll tvText tvTooltip tvValue type typeName typeOf UAVControl uiNamespace uiSleep unassignCurator unassignItem unassignTeam unassignVehicle underwater uniform uniformContainer uniformItems uniformMagazines uniqueUnitItems unitAddons unitAimPosition unitAimPositionVisual unitBackpack unitCombatMode unitIsUAV unitPos unitReady unitRecoilCoefficient units unitsBelowHeight unitTurret unlinkItem unlockAchievement unregisterTask updateDrawIcon updateMenuItem updateObjectTree useAIOperMapObstructionTest useAISteeringComponent useAudioTimeForMoves userInputDisabled values vectorAdd vectorCos vectorCrossProduct vectorDiff vectorDir vectorDirVisual vectorDistance vectorDistanceSqr vectorDotProduct vectorFromTo vectorLinearConversion vectorMagnitude vectorMagnitudeSqr vectorModelToWorld vectorModelToWorldVisual vectorMultiply vectorNormalized vectorUp vectorUpVisual vectorWorldToModel vectorWorldToModelVisual vehicle vehicleCargoEnabled vehicleChat vehicleMoveInfo vehicleRadio vehicleReceiveRemoteTargets vehicleReportOwnPosition vehicleReportRemoteTargets vehicles vehicleVarName velocity velocityModelSpace verifySignature vest vestContainer vestItems vestMagazines viewDistance visibleCompass visibleGps visibleMap visiblePosition visiblePositionASL visibleScoretable visibleWatch waves waypointAttachedObject waypointAttachedVehicle waypointAttachObject waypointAttachVehicle waypointBehaviour waypointCombatMode waypointCompletionRadius waypointDescription waypointForceBehaviour waypointFormation waypointHousePosition waypointLoiterAltitude waypointLoiterRadius waypointLoiterType waypointName waypointPosition waypoints waypointScript waypointsEnabledUAV waypointShow waypointSpeed waypointStatements waypointTimeout waypointTimeoutCurrent waypointType waypointVisible weaponAccessories weaponAccessoriesCargo weaponCargo weaponDirection weaponInertia weaponLowered weaponReloadingTime weapons weaponsInfo weaponsItems weaponsItemsCargo weaponState weaponsTurret weightRTD WFSideText wind windDir windRTD windStr wingsForcesRTD worldName worldSize worldToModel worldToModelVisual worldToScreen".split(" "), +literal:"blufor civilian configNull controlNull displayNull diaryRecordNull east endl false grpNull independent lineBreak locationNull nil objNull opfor pi resistance scriptNull sideAmbientLife sideEmpty sideEnemy sideFriendly sideLogic sideUnknown taskNull teamMemberNull true west".split(" ")},contains:[c.C_LINE_COMMENT_MODE,c.C_BLOCK_COMMENT_MODE,c.NUMBER_MODE,{className:"variable",begin:/\b_+[a-zA-Z]\w*/},{className:"title",begin:/[a-zA-Z][a-zA-Z_0-9]*_fnc_[a-zA-Z_0-9]+/},e,r],illegal:[/\$[^a-fA-F0-9]/, +/\w\$/,/\?/,/@/,/ \| /,/[a-zA-Z_]\./,/:=/,/\[:/]}}}; +shadow$provide[246]=function(Z,ia,Ea,C){Ea.exports=function(c){const e=c.regex,r=c.COMMENT("--","$"),O=["true","false","unknown"],V="bigint binary blob boolean char character clob date dec decfloat decimal float int integer interval nchar nclob national numeric real row smallint time timestamp varchar varying varbinary".split(" "),ma="abs acos array_agg asin atan avg cast ceil ceiling coalesce corr cos cosh count covar_pop covar_samp cume_dist dense_rank deref element exp extract first_value floor json_array json_arrayagg json_exists json_object json_objectagg json_query json_table json_table_primitive json_value lag last_value lead listagg ln log log10 lower max min mod nth_value ntile nullif percent_rank percentile_cont percentile_disc position position_regex power rank regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy regr_syy row_number sin sinh sqrt stddev_pop stddev_samp substring substring_regex sum tan tanh translate translate_regex treat trim trim_array unnest upper value_of var_pop var_samp width_bucket".split(" "), +Ia="create table;insert into;primary key;foreign key;not null;alter table;add constraint;grouping sets;on overflow;character set;respect nulls;ignore nulls;nulls first;nulls last;depth first;breadth first".split(";"),ya="abs acos all allocate alter and any are array array_agg array_max_cardinality as asensitive asin asymmetric at atan atomic authorization avg begin begin_frame begin_partition between bigint binary blob boolean both by call called cardinality cascaded case cast ceil ceiling char char_length character character_length check classifier clob close coalesce collate collect column commit condition connect constraint contains convert copy corr corresponding cos cosh count covar_pop covar_samp create cross cube cume_dist current current_catalog current_date current_default_transform_group current_path current_role current_row current_schema current_time current_timestamp current_path current_role current_transform_group_for_type current_user cursor cycle date day deallocate dec decimal decfloat declare default define delete dense_rank deref describe deterministic disconnect distinct double drop dynamic each element else empty end end_frame end_partition end-exec equals escape every except exec execute exists exp external extract false fetch filter first_value float floor for foreign frame_row free from full function fusion get global grant group grouping groups having hold hour identity in indicator initial inner inout insensitive insert int integer intersect intersection interval into is join json_array json_arrayagg json_exists json_object json_objectagg json_query json_table json_table_primitive json_value lag language large last_value lateral lead leading left like like_regex listagg ln local localtime localtimestamp log log10 lower match match_number match_recognize matches max member merge method min minute mod modifies module month multiset national natural nchar nclob new no none normalize not nth_value ntile null nullif numeric octet_length occurrences_regex of offset old omit on one only open or order out outer over overlaps overlay parameter partition pattern per percent percent_rank percentile_cont percentile_disc period portion position position_regex power precedes precision prepare primary procedure ptf range rank reads real recursive ref references referencing regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy regr_syy release result return returns revoke right rollback rollup row row_number rows running savepoint scope scroll search second seek select sensitive session_user set show similar sin sinh skip smallint some specific specifictype sql sqlexception sqlstate sqlwarning sqrt start static stddev_pop stddev_samp submultiset subset substring substring_regex succeeds sum symmetric system system_time system_user table tablesample tan tanh then time timestamp timezone_hour timezone_minute to trailing translate translate_regex translation treat trigger trim 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