A semi-manual s/this/self appied to the whole standard library.
Related to https://www.pivotaltracker.com/story/show/182328601
In the compiler promoted to use constants instead of hardcoded
`this`/`self` whenever possible.
# Important Notes
The PR **does not** require explicit `self` parameter declaration for methods as this part
of the design is still under consideration.
[Task link](https://www.pivotaltracker.com/story/show/182194574).
[ci no changelog needed]
This PR implements a new selection box that will replace an old (not really working) one in the component browser. The old selection box wasn't working well with the headers of the component groups, so we were forced to make a much harder implementation.
The new implementation duplicates some visual components and places them in a separate layer. Then, a rectangular mask cuts off everything that is not "selected". This way:
- We have more control over what the selected entries should look like.
- We can easily support the multi-layer structure of the component groups with headers.
- We avoid problems with nested masks that our renderer doesn't support at the moment.
To be more precise, we duplicate the following:
- Background of the component group becomes the "fill" of the selection.
- Entries text and icons - we can alter them easily.
- Header background and header text. By placing them in separate scene layers we ensure correct rendering order.
https://user-images.githubusercontent.com/6566674/173657899-1067f538-4329-44f9-9dc2-78c8a4708b5a.mp4
# Important Notes
- This PR implements the base of our future selection mechanism, selecting entries with a mouse and keyboard still has several issues that will be fixed in the future tasks.
- The scrolling behavior will also be improved in future tasks. Right we only restrict the selection box position so that it never leaves the borders of the component group.
- I added a new function to `add` shapes to new layers in a non-exclusive way (we had only `add_exclusive`) before. I have no idea how we didn't use this feature before even though we mention it a lot in the docs.
- The demo scene restricts the position of the selection box for one-column component groups but does not for the wide component group.
Put information about Virtual Component Groups in the Hierarchical Actions List.
https://www.pivotaltracker.com/story/show/181865548
# Important Notes
- This PR implements the subtask 2 of 2 in the ["Virtual Component Groups in the Hierarchical Action List" task](https://www.pivotaltracker.com/story/show/181865548).
- Note: the PR description does not include a screencast due to the changes in this PR not having any visual effect at this moment. The result of this PR's changes would be only observed in the Component Browser, but the Component Browser is not merged yet. As described in the task's Acceptance Criteria, the changes in this PR are currently only covered by tests.
- Manual integration testing with the Engine showed that a response to an `executionContext/getComponentGroups` request is non-empty only after an `executionContext/executionComplete` message is received by the IDE. (See also [a discussion on Discord](https://discord.com/channels/401396655599124480/983669600854106112).) This was not known by the IDE team or documented before, and the existing code was modified to take this into account. The protocol docs are expected to be updated by the Engine team.
- A list of component groups looked up in the suggestion database is cached in the node searcher as an optimization.
[ci no changelog needed]
Remove a `Symbol`from the `SymbolRegistry` when its `SpriteSystem` is dropped.
This fixes the remaining buffer leak (after #3504) in https://www.pivotaltracker.com/story/show/181943457
# Important Notes
- The `SymbolRegistry` now assigns unique `SymbolId`s, so that we can tell if a `SymbolId` refers to a `Symbol` that has already been unregistered (this shouldn't happen, but it's not statically-obvious that it doesn't, so if it occurs we shouldn't misbehave).
- Also fix a bug in how `buffer_count` was tracked (we were decrementing more than incrementing!).
### Pull Request Description
Using the new tooling (#3491), I investigated the **performance / compile-time tradeoff** of different codegen options for release mode builds. By scripting the testing procedure, I was able to explore many possible combinations of options, which is important because their interactions (on both application performance and build time) are complex. I found **two candidate profiles** that offer specific advantages over the current `release` settings (`baseline`):
- `thin16`: Supports incremental compiles in 1/3 the time of `baseline` in common cases. Application runs about 2% slower than `baseline`.
- `fat1-O4`: Application performs 13% better than `baseline`. Compile time is almost 3x `baseline`, and non-incremental.
(See key in first chart for the settings defining these profiles.)
We can build faster or run faster, though not in the same build. Because the effect sizes are large enough to be impactful to developer and user experience, respectively, I think we should consider having it both ways. We could **split the `release` profile** into two profiles to serve different purposes:
- `release`: A profile that supports fast developer iteration, while offering realistic performance.
- `production`: A maximally-optimized profile, for nightly builds and actual releases.
Since `wasm-pack` doesn't currently support custom profiles (rustwasm/wasm-pack#1111), we can't use a Cargo profile for `production`; however, we can implement our own profile by overriding rustc flags.
### Performance details
As you can see, `thin16` is slightly slower than `baseline`; `fat1-O4` is dramatically faster.
<details>
<summary>Methodology (click to show)</summary>
I developed a procedure for benchmarking "whole application" performance, using the new "open project" workflow (which opens the IDE and loads a complex project), and some statistical analysis to account for variance. To gather this data:
Build the application with profiling:
`./run.sh ide build --profiling-level=debug`
Run the `open_project` workflow repeatedly:
`for i in $(seq 0 9); do dist/ide/linux-unpacked/enso --entry-point profile --workflow open_project --save-profile open_project_thin16_${i}.json; done`
For each profile recorded, take the new `total_self_time` output of the `intervals` tool; gather into CSV:
`echo $(for i in $(seq 0 9); do target/rust/debug/intervals < open_project_thin16_${i}.json | tail -n1 | awk '{print $2}'; do`
(Note that the output of intervals should not be considered stable; this command may need modification in the future. Eventually it would be nice to support formatted outputs...)
The data is ready to graph. I used the `boxplot` method of the [seaborn](https://seaborn.pydata.org/index.html) package, in order to show the distribution of data.
</details>
#### Build times
In the case of changing a file in `enso-prelude`, with the current `baseline` settings rebuilding takes over 3 minutes. With the `thin16` settings, the same rebuild completes in 40 seconds.
(To gather this data on different hardware or in the future, just run the new `bench-build.sh` script for each case to be measured.)
[ci no changelog needed]
This PR implements a new helper for the future Component Browser - `component_group::multi::Wrapper`. It propagates FRP events from multiple component groups and ensures that only a single component group is focused at all times.
See the updated component group demo scene (console logs shows propagated FRP events from all component groups):
https://user-images.githubusercontent.com/6566674/172359141-8ea6f1ba-e357-4c1b-852a-adb4d5207e03.mp4
- Fixed a `define_endpoints_2!` macro. FRP endpoints for `focus` events weren't connected properly.
- List View now uses an overlay shape to catch mouse events, it allows much easier implementation of `is_header_selected` in the component group.
This PR introduces a new structure delivered by Searcher Controller: The Component List.
The Component list is hierarchical, and its structure reflects how the components are displayed in Component Browser - only "submodule" section at this point, other sections will be covered in next tasks.
This does not introduce anything visual; the structures are tested in unit tests.
Fix a memory leak introduced by #3451. Found this to be part of the cause of [the buffer leaks](https://www.pivotaltracker.com/story/show/181943457/comments/231558434).
The problem with this use of `define_endpoints_2` is,
- The FRP network contains (strong) references to the `Model`.
- The `Model` has a strong reference to `api::Private`, which owns the FRP network.
Thus we never free the `Model`.
Define some workflows for batch-mode profiling.
Implemented:
- collapse nodes
- create node
- enter collapsed node
- new project
- open visualization
They can currently be built and run with a command like:
`./run.sh ide build --profiling-level=debug && dist/ide/linux-unpacked/enso --entry-point profile --workflow create_node --save-profile out.json`
And the data can be displayed with:
`dist/ide/linux-unpacked/enso --entry-point profiling_run_graph --load-profile out.json`
Demo of recording and viewing a profile with a command-line one-liner:
https://user-images.githubusercontent.com/1047859/169954795-2d9520ca-84f9-45d2-b83a-5063ebe6f718.mp4
See: https://www.pivotaltracker.com/story/show/182195399.
# Important Notes
- When defining workflows, two helpers are enough to allow us to tell when the action is really done: `Fixture::compile_new_shaders`, and `Fixture::backend_execution`. Often, it is appropriate to await both, but it depends on the task.
- The shader compiler is now driven by a `Controller`; while the `Compiler` is reset if context is lost, the `Controller`'s state survives context loss.
- A new `--load-profile` option supports specifying a profile by path when running `profiling_run_graph`.
- Drop the `with_same_start` profiler interface; we ended up preferring a child profiler convention, and this interface was not implemented compatibly with the stricter data model we've had since the introduction of `profiler::data`.
- Fix the noisy `rustfmt` output.
* The bash entry point was renamed `run.sh` -> `run`. Thanks to that `./run` works both on Linux and Windows with PowerShell (sadly not on CMD).
* Everyone's favorite checks for WASM size and program versions are back. These can be disabled through `--wasm-size-limit=0` and `--skip-version-check` respectively. WASM size limit is stored in `build-config.yaml`.
* Improved diagnostics for case when downloaded CI run artifact archive cannot be extracted.
* Added GH API authentication to the build script calls on CI. This should fix the macOS build failures that were occurring from time to time. (Actually they were due to runner being GitHub-hosted, not really an OS-specific issue by itself.)
* If the GH API Personal Access Token is provided, it will be validated. Later on it is difficult to say, whether fail was caused by wrong PAT or other issue.
* Renamed `clean` to `git-clean` as per suggestion to reduce risk of user accidently deleting unstaged work.
* Whitelisting dependabot from changelog checks, so PRs created by it are mergeable.
* Fixing issue where wasm-pack-action (third party) randomly failed to recognize the latest version of wasm-pack (macOS runners), leading to failed builds.
* Build logs can be filtered using `ENSO_BUILD_LOG` environment variable. See https://docs.rs/tracing-subscriber/0.3.11/tracing_subscriber/struct.EnvFilter.html#directives for the supported syntax.
* Improve help for ci-run source, to make clear that PAT token is required and what scope is expected there.
Also, JS parts were updated with some cleanups and fixes following the changes made when introducing the build script.
This PR contains minimal integration with new engine's method and an integration test printing the method's return value. It was written as a part of https://www.pivotaltracker.com/story/show/181743571
# Important Notes
The test requires 2022.1.1-nightly.2022-04-26 engine version or later.
Add a method in `SuggestionDatabase` allowing to find a suggestion entry by a fully qualified path, working faster than a linear search through all the entries in the `SuggestionDatabase`.
https://www.pivotaltracker.com/story/show/181852566
# Important Notes
- **Testing:** when testing the PR with the newest currently available nightly version of the Engine, you may observe the following warnings in the Chrome JS Developer Console (the numerical values may differ):
index.ts?ab16:289 WARN app/gui/src/model/suggestion_database.rs:61 An existing suggestion entry id at Standard.Base.Nothing.Nothing.is_nothing was overwritten with 768.
index.ts?ab16:289 WARN app/gui/src/model/suggestion_database.rs:61 An existing suggestion entry id at Standard.Base.Data.Numbers.Integer.up_to was overwritten with 936.
index.ts?ab16:289 WARN app/gui/src/model/suggestion_database.rs:61 An existing suggestion entry id at Standard.Base.Data.Numbers.Integer.down_to was overwritten with 937.
index.ts?ab16:289 WARN app/gui/src/model/suggestion_database.rs:61 An existing suggestion entry id at Standard.Base.Data.Text.Text.== was overwritten with 971.
This is a result of bugs in the Standard Library. Those are planned to be addressed by:
- #3480 short-term (to fix the specific bugs currently present in the Standard Library),
- https://www.pivotaltracker.com/story/show/182283983 long-term (to improve the Engine such that it disallows introducing this category of bugs in the Standard Library in the future).
(For more details, see also: https://discord.com/channels/401396655599124480/978929754138877962.)
As a result of the bugs mentioned above, the Engine is responding with some invalid replies. In case of such invalid replies, warnings are emitted in the JS Dev Console. Other than the warnings, the code is expected to work correctly with the Engine for the cases when the Engine returns correct data.
- A `HashMapTree` was used for storing the map. A quick back-of-the-envelope estimation of memory usage of a simpler alternative (a one-level `HashMap`) would put the alternative at ~1MB (~10k entities × averaged ~100 bytes per entity path), which was considered too much in a discussion with @farmaazon.
- The `HashMapTree::remove` method deletes a whole subtree of a `HashMapTree`. An alternative removal method was implemented for use in `suggestion_database::QualifiedNameToIdMap` to better match `HashMap` entry removal semantics.
- In case of path collisions, a warning is emitted.
- Paths are treated case-sensitively.
- The new method of the `SuggestionDatabase` type is currently only used in unit tests. This matches the explicit requirement in the Task's description.
- JS Developer Console logging was enabled for the `tracing` package. The `WARN` level was picked to match the default level enabled in the "old" logging infrastructure.
[ci no changelog needed]
This PR extends the Component Group Entry with icon and option to highlight the text. Here the convert has highlighted "con".
https://user-images.githubusercontent.com/3919101/169046537-4f8b823c-322e-40dc-8abb-24d1d7092341.mp4
### Important Notes
Although this PR includes effort for adjusting Component Group style to better reflect the design, it is not entirely finished: the selection still works badly and will be fixed in another PR.
[ci no changelog needed]
[Task link](https://www.pivotaltracker.com/story/show/181725003)
This PR implements a fully visible component group header while scrolling the group (using the ScrollArea).
The header moves in sync with scrolling movements (using new `set_header_pos` FRP input), so it looks like the component group is scrolled. ScrollArea masks the "scrolled" entries above the header. This design allows a fully visible header even though our renderer doesn't support nested layers masking yet.
The screencast:
https://user-images.githubusercontent.com/6566674/168320360-2c2017b2-0ef5-42ce-9c79-82b9641c1d73.mp4
The most recent one, with the updated demo scene from develop:
https://user-images.githubusercontent.com/6566674/168555268-8552c4b0-f887-4388-89a1-e65ddf668be6.mp4
# Important Notes
- I fixed the API of the list view so now it supports non-hardcoded scene layers (previously it did not). I also believe it was implemented incorrectly.
- I've found a [pretty weird bug](https://www.pivotaltracker.com/story/show/182193824): the component group inside the ScrollArea is invisible unless I add some arbitrary shape to the scroll area content. I use a `transparent_circle` for this purpose in the demo scene. The bug is probably related to masking the sublayers, though I wasn't able to reproduce it properly on a simpler example.
- The selection box is removed from the demo scene as agreed with @farmaazon . The correct implementation has proven to be much harder than I expected, and we will implement another approach in a separate PR.
- I also modified the `shadow::Parameters` so that it uses `Var`s instead of plain values.
The change promotes static methods of `Ref`, `get` and `put`, to be
methods of `Ref` type.
The change also removes `Ref` module from the default namespace.
Had to mostly c&p functional dispatch for now, in order for the methods
to be found. Will auto-generate that code as part of builtins system.
Related to https://www.pivotaltracker.com/story/show/182138899
* Extends the instrumentation of the code base and upgrades some FRPs to the newer API macro.
* Extends the run-graph demo scene to specify a profile via URL without recompilation.
* Fixes labels in the flame graph demo scene.
* Fixes an issue with loading profiles that contains escaped characters.
# Important Notes
* no longer contains the upgrade of the `text::View` to `define_endpoints_2`. This should be fixed as part of the text rendering rewrite.
[ci no changelog needed]
Parametrize the colors used in a Component Group view based on a single color passed to an FRP input.
Customizing the colors of a Component Group will be needed for the larger Component Group List panel. This customization will work as a visual hint for the User, helping them to distinguish different Component Groups in the panel. A single input color will be configured for every Component Group in the `package.yaml` file (see the Design Doc). Therefore, all shades of the color required by the Component Group view must be calculated from this single input color.
https://www.pivotaltracker.com/story/show/181725039
#### Visuals
The following screencast of the `component_group` debug scene shows how all required shades of color are calculated from a single input color. It also shows a new "dimmed" display mode of the Component Group. The debug scene does not support selecting entries in a "dimmed" Component Group, as this is not required by the Design Doc.
https://user-images.githubusercontent.com/273837/168074651-bf3d5ea5-99b0-4b69-9934-ad8565ffc54e.mov
The following is a screenshot of the Node Searcher, to demonstrate that it still works correctly:
<img width="623" alt="Screenshot 2022-05-09 at 17 13 01" src="https://user-images.githubusercontent.com/273837/167441109-e9a47b5a-45a2-4172-85ed-c593e43e02d6.png">
# Important Notes
- A new type `Params` was added in the `list_view::entry::Entry` trait. This was needed to allow passing FRP information to entries separately for every ListView instance.
- Note: `style_prefix` and `max_width_px` parameters of the `list_view::entry::Entry::new` function may get moved into the new `Params` type in the future. To save time, this was not attempted in this PR, as agreed with @farmaazon.
[ci no changelog needed]
* Extends the instrumentation of the code base and upgrades some FRPs to the newer API macro.
* Extends the run-graph demo scene to specify a profile via URL without recompilation.
* Fixes labels in the flame graph demo scene.
* Fixes an issue with loading profiles that contains escaped characters.
# Important Notes
[ci no changelog needed]
Implement a command that launches the application, runs a series of steps (a "workflow"), writes a profile to a file, and exits.
See: [#181775808](https://www.pivotaltracker.com/story/show/181775808)
# Important Notes
- The command to capture run and profile is used like: `./run profile --workflow=new_project --save-profile=out.json`. Defining some more workflows (collapse nodes, create node and edit value) comes next; they are implemented with the same infrastructure as the integration-tests.
- The `--save-profile` option can also be used when profiling interactively; when the option is provided, capturing a profile with the hotkey will write a file instead of dumping the data to the devtools console.
- If the IDE panics, the error message is now printed to the console that invoked the process, as well as the devtools console. (If a batch workflow fails, this allows us to see why.)
- New functionality (writing profile files, quitting on command, logging to console) relies on Electron APIs. These APIs are implemented in `index.js`, bridged to the render process in `preload.js`, and wrapped for use in Rust in a `debug_api` crate.
This PR replaces hard-coded `@Builtin_Method` and `@Builtin_Type` nodes in Builtins with an automated solution
that a) collects metadata from such annotations b) generates `BuiltinTypes` c) registers builtin methods with corresponding
constructors.
The main differences are:
1) The owner of the builtin method does not necessarily have to be a builtin type
2) You can now mix regular methods and builtin ones in stdlib
3) No need to keep track of builtin methods and types in various places and register them by hand (a source of many typos or omissions as it found during the process of this PR)
Related to #181497846
Benchmarks also execute within the margin of error.
### Important Notes
The PR got a bit large over time as I was moving various builtin types and finding various corner cases.
Most of the changes however are rather simple c&p from Builtins.enso to the corresponding stdlib module.
Here is the list of the most crucial updates:
- `engine/runtime/src/main/java/org/enso/interpreter/runtime/builtin/Builtins.java` - the core of the changes. We no longer register individual builtin constructors and their methods by hand. Instead, the information about those is read from 2 metadata files generated by annotation processors. When the builtin method is encountered in stdlib, we do not ignore the method. Instead we lookup it up in the list of registered functions (see `getBuiltinFunction` and `IrToTruffle`)
- `engine/runtime/src/main/java/org/enso/interpreter/runtime/callable/atom/AtomConstructor.java` has now information whether it corresponds to the builtin type or not.
- `engine/runtime/src/main/scala/org/enso/compiler/codegen/RuntimeStubsGenerator.scala` - when runtime stubs generator encounters a builtin type, based on the @Builtin_Type annotation, it looks up an existing constructor for it and registers it in the provided scope, rather than creating a new one. The scope of the constructor is also changed to the one coming from stdlib, while ensuring that synthetic methods (for fields) also get assigned correctly
- `engine/runtime/src/main/scala/org/enso/compiler/codegen/IrToTruffle.scala` - when a builtin method is encountered in stdlib we don't generate a new function node for it, instead we look it up in the list of registered builtin methods. Note that Integer and Number present a bit of a challenge because they list a whole bunch of methods that don't have a corresponding method (instead delegating to small/big integer implementations).
During the translation new atom constructors get initialized but we don't want to do it for builtins which have gone through the process earlier, hence the exception
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/MethodProcessor.java` - @Builtin_Method processor not only generates the actual code fpr nodes but also collects and writes the info about them (name, class, params) to a metadata file that is read during builtins initialization
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/MethodProcessor.java` - @Builtin_Method processor no longer generates only (root) nodes but also collects and writes the info about them (name, class, params) to a metadata file that is read during builtins initialization
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/TypeProcessor.java` - Similar to MethodProcessor but handles @Builtin_Type annotations. It doesn't, **yet**, generate any builtin objects. It also collects the names, as present in stdlib, if any, so that we can generate the names automatically (see generated `types/ConstantsGen.java`)
- `engine/runtime/src/main/java/org/enso/interpreter/node/expression/builtin` - various classes annotated with @BuiltinType to ensure that the atom constructor is always properly registered for the builitn. Note that in order to support types fields in those, annotation takes optional `params` parameter (comma separated).
- `engine/runtime/src/bench/scala/org/enso/interpreter/bench/fixtures/semantic/AtomFixtures.scala` - drop manual creation of test list which seemed to be a relict of the old design
* New JSON profile format.
* Use string-table optimization for labels in JSON format.
* Use TimeOffset header to render beanpoles
* Log RPC messages sent to the backend.
* Display RPC requests on graph
* Simplify metadata-logging interface.
Implements a visualization that is integrated with our GUI profiling visualization for the multiprocess data implemented in #3395https://user-images.githubusercontent.com/1428930/165915395-c850c7b2-1cc5-4eb0-8f21-37565d113b1e.mp4
The visualization shows a horizontal line for Engine, Language Server and GUI and renders arrows for each message passed between them. Information about the message is revealed on hover.
# Important Notes
* this PR refactors the tooltip mechanism. Note that this has not been in active use anywhere else, as tooltips for node received a custom implementation and the tooltip that was previously implemented was used nowhere else yet.
[ci no changelog needed]
* The List View component was refactored: it allows for hiding the internal selection widget, and exposes information where the widget should be placed. This allows us to create selection widget in component list panel, so it can be animated between component groups and sections.
* Fixed some warnings when checking WASM code.
* Adjusted the style of Component Group View a little, so it better reflects the design doc. Still not ideal, because the list_view has some weird design regarding padding, but I don't want to stuck in some bigger refactoring.
I will add a video in a few minutes.
# Important Notes
https://user-images.githubusercontent.com/3919101/165507826-60329f9e-7de3-4eb2-9271-292e45568cb2.mov
See: [#181837344](https://www.pivotaltracker.com/story/show/181837344).
I've separated this PR from some deeper changes I'm making to the profile format, because the changeset was getting too complex. The new APIs and tools in this PR are fully-implemented, except the profile format is too simplistic--it doesn't currently support headers that are needed to determine the relative timings of events from different processes.
- Adds basic support for profile files containing data collected by multiple processes.
- Implements `api_events_to_profile`, a tool for converting backend message logs (#3392) to the `profiler` format so they can be merged with frontend profiles (currently they can be merged with `cat`, but the next PR will introduce a merge tool).
- Introduces `message_beanpoles`, a simple tool that diagrams timing relationships between frontend and backend messages.
### Important Notes
- All TODOs introduced here will be addressed in the next PR that defines the new format.
- Introduced a new crate, `enso_profiler_enso_data`, to be used by profile consumers that need to refer to Enso application datatypes to interpret metadata.
- Introduced a `ProfileBuilder` abstraction for writing the JSON profile format; partially decouples the runtime event log structures from the format definition.
- Introducing the conversion performed for `ProfilerBuilder` uncovered that the `.._with_same_start!` low-level `profiler` APIs don't currently work; they return `Started<_>` profilers, but that is inconsistent with the stricter data model that I introduced when I implemented `profiler_data`; they need to return profilers in a created, unstarted state. Low-level async profilers have not been a priority, but once #3382 merges we'll have a way to render their data, which will be really useful because async profilers capture *why* we're doing things. I'll bring up scheduling this in the next performance meeting.
Add logging of EnsoGL performance stats to the profiling framework. Also extends the visualization in the debug scene to show an overview of the performance stats. We now render a timeline of blocks that indicate by their colour the rough FPS range we are in:
https://user-images.githubusercontent.com/1428930/162433094-57fbb61a-b502-43bb-8815-b7fc992d3862.mp4
# Important Notes
[ci no changelog needed]
Needs to be merged after https://github.com/enso-org/enso/pull/3382 as it requires some changes about metadata logging from there. That is why this PR is currently still in draft mode and based on that branch.
In this branch:
* The workaround for cursor-not-being-updated-after-closing-searcher bug (discovered while testing #3278) is reverted.
* The proper fix was introduced: created an abstraction for EnsoGL component, which, when dropping, will not immediately drop the FRP network and model, but instead put it into the Garbage Collector. The Collector ensures, that all "component hiding" effects and events will be handled, and drops FRP network and model only after that.
* I run clippy for wasm32 target out of curiosity. There was one warning, and I fixed it on this branch.
When a new node is created with the <kbd>TAB</kbd> key or by clicking the `(+)` on-screen button while multiple nodes are selected, place the new node below all the selected nodes. (Previously, the new node was placed below the node that was selected earliest.)
Additionally, when placing a new node below an existing non-error node with a visualization enabled, place the new node below the visualization. (Previously, the new node was placed to the left of the visualization.)
https://www.pivotaltracker.com/story/show/180887079
#### Visuals
The following screencast demonstrates the feature on various arrangements of selected nodes, with visualization enabled and disabled.
https://user-images.githubusercontent.com/273837/159971452-148aa4d7-c0f3-4b48-871a-a2783989f403.mov
The following screencast demonstrates that new nodes created by double-clicking an output port of a node with visualization enabled are now placed below the visualization:
https://user-images.githubusercontent.com/273837/160107733-e3f7d0f9-0161-49d1-8cbd-06e18c843a20.mov
# Important Notes
- Some refactorings that were needed for this PR were ported from the #3301 PR:
- the code responsible for calculating the positions of new nodes was moved to a separate module (`new_node_position`);
- the `free_place_finder` module was made a submodule of the `new_node_position` module, due to the latter being its only user.
Use a new algorithm for placement of new nodes in cases when:
- a) there is no selected node, and the `TAB` key is pressed while the mouse pointer is near an existing node (especially in an area below an existing node);
- b) a connection is dragged out from an existing node and dropped near the node (especially in an area below the node).
In both cases mentioned above, the new node will now be placed in a location suggested by an internal algorithm, aligned to existing nodes. Specifically, the placement algorithm used is similar to when pressing `TAB` with a node selected.
For more details, see: https://www.pivotaltracker.com/story/show/181076066
# Important Notes
- Visible visualizations enabled with the "eye icon" button are treated as part of a node. (In case of nodes with errors, visualizations are not visible, and are not treated as part of a node.)
[ci no changelog needed]
This PR adds a few simple unit tests for GraphEditor, that can be used as an example of native Unit Tests.
Covered:
1. Creating nodes
- By internal API
- By using a TAB shortcut
- By using (+) button
- By dropping edge
2. Connecting two nodes with an edge
Some APIs were extended to allow their testing.
Usage of `glyph::System` in `text/component/area` was disabled by conditional compilation, as this code can't be used in native code due to JS dependencies.
