In cloud we want to allow users to create new project from the template. List of templates is a bit outdated and doesn't contain all from the https://github.com/enso-org/project-templates. This PR simply adds missing ones
A combination of commands triggered separate compilation that only recompiled part of builtins. A mechanism that workaround annotation processor's problems with separate compilation was updated to include changes from https://github.com/enso-org/enso/pull/4111. This was pretty tough to find given the rather unusual circumstances in CI.
# Important Notes
This eliminates the _random_ failures in CI related to separate compilation.
To reproduce a specific set of steps has to be executed:
```
sbt> all buildEngineDistribution engine-runner/assembly runtime/Benchmark/compile language-server/Benchmark/compile searcher/Benchmark/compile
(exit sbt)
sbt> test
```
Expressions returning polyglot values were not reporting the type of the result because we have to do additional magic that infers the correct Enso type. Since this is exactly what `TypeOfNode` does, I re-used the logic.
Straightforward solution failed in tests because of assertions:
```
[enso] WARNING: Execution of function main failed (Invalid library usage. Cached library must be adopted by a RootNode before it is executed.).
java.lang.AssertionError: Invalid library usage. Cached library must be adopted by a RootNode before it is executed.
```
That is why this PR replaces `ExecutionEventListener` with `ExecutionEventNodeFactory`.
# Important Notes
Usage of `TypeOfNode` for programs that **do not** import stdlib means that we report types that do not involve stdlib e.g.
`Standard.Builtins.Main.Integer` instead of `Standard.Base.Data.Numbers.Integer`. While surprising, this is correct and I would say desirable. While reviewing the code, notice the difference in expectations in our runtime tests.
Implementation of https://www.pivotaltracker.com/story/show/184012743https://user-images.githubusercontent.com/919491/214082311-cf49e43c-1d1f-4654-903c-a4224cd954d8.mp4
This is also a step towards more general widget support. The widget metadata is queried using `Meta.get_annotation` method through a dedicated visualization. For now only `Single_Choice` case is handled, and always all suggestions are is returned.
# Important Notes
There are limitations as to which node segments receive a widget. Only chain method calls are supported now (`thing.method` syntax), and only outside of lambda scope. Widgets in lambdas will require support for visualisations of lambda subexpressions, which is currently missing in the engine. The IDE technically tries to place the widgets there, but the data never arrives. It should work once the engine support is added.
This PR includes a mock for `Meta.get_annotation` call that only supports `Table.at` method. Real implementation is a separate task that is already in progress.
This PR contains the first implementation of `cached_shape!` macro, which should help us with reducing draw calls in our application.
```rust
mod icon1 {
use super::*;
ensogl_core::cached_shape! { 32 x 32;
() {
let shape = Circle(16.px()).fill(color::Rgba::green());
shape.into()
}
}
}
mod icon2 {
use super::*;
ensogl_core::cached_shape! { 202 x 312;
() {
let shape = Rect((200.px(), 310.px())).fill(color::Rgba::red());
shape.into()
}
}
}
```
The above code creates two cached shapes. They are similar to normal shapes (created with `shape!` macro), except that:
1. they do not allow for any parametrization
2. They are rendered at the application start to the special texture with cached shapes.
The texture will be used in next PRs to cache all Component Browser icons on the texture and draw all of them just by single, fast draw call. In the future, more shapes can be cached, further reducing draw calls and making them simple.
# Important Notes
The results are presented in `cached_shapes` debug scene: there are two shapes displayed and a scaled cached texture is displayed in the background.
In order to investigate `engine/language-server` project, I need to be able to open its sources in IGV and NetBeans.
# Important Notes
By adding same Java source (this time `package-info.java`) and compiling with our Frgaal compiler the necessary `.enso-sources*` files are generated for `engine/language-server` and then the `enso4igv` plugin can open them and properly understand their compile settings.
In addition to that this PR enhances the _"logical view"_ presentation of the project by including all source roots found under `src/*/*`.
https://github.com/enso-org/enso/pull/3764 introduced static wrappers for instance methods. Except it had a limitation to only be allowed for types with at least a single constructor.
That excluded builtin types as well which, by default, don't have them. This limitation is problematic for Array/Vector consolidation and makes builtin types somehow second-citizens.
This change lifts the limitation for builtin types only. Note that we do want to share the implementation of the generated builtin methods. At the same time due to the additional argument we have to adjust the starting index of the arguments.
This change avoids messing with the existing dispatch logic, to avoid unnecessary complexity.
As a result it is now possible to call builtin types' instance methods, statically:
```
arr = Array.new_1 42
Array.length arr
```
That would previously lead to missing method exception in runtime.
# Important Notes
The only exception is `Nothing`. Primarily because it requires `Nothing` to have a proper eigentype (`Nothing.type`) which would messed up a lot of existing logic for no obvious benefit (no more calling of `foo=Nothing` in parameters being one example).
This PR implements HTML generation from documentation IR for all suggestion database entries and replaces the old documentation panel with a newer one.
Additional adjustments to the looks of the documentation would be applied separately in a future PR. This PR focuses on the fastest possible delivery of a usable documentation panel. We want to test it in real-world use cases and gather feedback for future improvements.
Documentation demo scene with mocked data:
https://user-images.githubusercontent.com/6566674/213436313-88753ed8-346f-423e-956e-7db39f5dc266.mp4
Component browser with actual engine-provided data:
https://user-images.githubusercontent.com/6566674/213436375-d0ec074b-f7a6-4deb-a7de-3adee999cc86.mp4
# Important Notes
- Fixed language protocol data structures.
- Scrolling to the selected method is also implemented here.
- Also, the selected item is highlighted with yellow.
- Only some pieces of information we have are displayed. For example, we don't display return types for methods or types of arguments.
- A bunch of code related to previous implementation is removed, but probably not all of it.
Implements [#183453466](https://www.pivotaltracker.com/story/show/183453466).
https://user-images.githubusercontent.com/1428930/203870063-dd9c3941-ce79-4ce9-a772-a2014e900b20.mp4
# Important Notes
* the best laziness is used for `Text` type, which makes use of its internal representation to send data
* any type will first compute its default string representation and then send the content of that lazy to the IDE
* special handling of files and their content will be implemented in the future
* size of the displayed text can be updated dynamically based on best effort information: if the backend does not yet know the full width/height of the text, it can update the IDE at any time and this will be handled gracefully by updating the scrollbar position and sizes.
Introduces unboxed (and arity-specialized) storage schemes for Atoms. It results in improvements both in memory consumption and runtime.
Memory wise: instead of using an array, we now use object fields. We also enable unboxing. This cuts a good few pointers in an unboxed object. E.g. a quadruple of integers is now 64 bytes (4x8 bytes for long fields + 16 bytes for layout and constructor pointers + 16 bytes for a class header). It used to be 168 bytes (4x24 bytes for boxed Longs + 16 bytes for array header + 32 bytes for array contents + 8 bytes for constructor ptr + 16 bytes for class header), so we're saving 104 bytes a piece. In the least impressive scenarios (all-boxed fields) we're saving 8 bytes per object (saving 16 bytes for array header, using 8 bytes for the new layout field). In the most-benchmarked case (list of longs), we save 32 bytes per cons-cell.
Time wise:
All list-summing benchmarks observe a ~2x speedup. List generation benchmarks get ~25x speedups, probably both due to less GC activity and better allocation characteristics (only allocating one object per Cons, rather than Cons + Object[] for fields). The "map-reverse" family gets a neat 10x speedup (part of the work is reading, which is 2x faster, the other is allocating, which is now 25x faster, we end up with 10x when combined).
This is a followup to https://github.com/enso-org/enso/pull/4046#pullrequestreview-1248164069.
- Compiler job cancelation is now handled - the cache entry will be cleared or the job will be resumed if there is still demand.
- The compilation awaiting process has been rewritten to not use polling. The "read cache" job is now only used to dispatch known valid reads. It is always completed within a single run cycle.
- Changed shader struct to use `ImString` for storing code, so it can be cheaply cloned. This is now common, as we are cloning it from cache.
`@` should not be legal to use as a binary operator. I accepted it in the parser because it occurred in the .enso sources, but it was actually used to create a syntax error to test error recovery.
See: https://www.pivotaltracker.com/story/show/184054024
While doing regular node manipulation in editior, noticed a number of situations when
```
java.lang.IndexOutOfBoundsException: None
at java.base/java.lang.Character.offsetByCodePoints(Character.java:8699)
at java.base/java.lang.String.offsetByCodePoints(String.java:820)
at org.enso.text.buffer.CodePointView$Ops$.drop(CodePointView.scala:98)
at org.enso.text.buffer.CodePointView$Ops$.drop(CodePointView.scala:57)
at org.enso.text.buffer.Node.drop(Tree.scala:218)
at org.enso.text.buffer.Rope.dropWith(Rope.scala:86)
at org.enso.text.buffer.CodePointView.drop(CodePointView.scala:30)
at org.enso.text.editing.RopeTextEditor$.cutOutTail(RopeTextEditor.scala:42)
...
```
would be thrown. Further text edits would simply be rejected requiring a complete restart. I doubt we should propagate
`IndexOutOfBoundsException`. Instead it is safer to just apply the edit to the end of the rope.
* Hash codes prototype
* Remove Any.hash_code
* Improve caching of hashcode in atoms
* [WIP] Add Hash_Map type
* Implement Any.hash_code builtin for primitives and vectors
* Add some values to ValuesGenerator
* Fix example docs on Time_Zone.new
* [WIP] QuickFix for HashCodeTest before PR #3956 is merged
* Fix hash code contract in HashCodeTest
* Add times and dates values to HashCodeTest
* Fix docs
* Remove hashCodeForMetaInterop specialization
* Introduce snapshoting of HashMapBuilder
* Add unit tests for EnsoHashMap
* Remove duplicate test in Map_Spec.enso
* Hash_Map.to_vector caches result
* Hash_Map_Spec is a copy of Map_Spec
* Implement some methods in Hash_Map
* Add equalsHashMaps specialization to EqualsAnyNode
* get and insert operations are able to work with polyglot values
* Implement rest of Hash_Map API
* Add test that inserts elements with keys with same hash code
* EnsoHashMap.toDisplayString use builder storage directly
* Add separate specialization for host objects in EqualsAnyNode
* Fix specialization for host objects in EqualsAnyNode
* Add polyglot hash map tests
* EconomicMap keeps reference to EqualsNode and HashCodeNode.
Rather than passing these nodes to `get` and `insert` methods.
* HashMapTest run in polyglot context
* Fix containsKey index handling in snapshots
* Remove snapshots field from EnsoHashMapBuilder
* Prepare polyglot hash map handling.
- Hash_Map builtin methods are separate nodes
* Some bug fixes
* Remove ForeignMapWrapper.
We would have to wrap foreign maps in assignments for this to be efficient.
* Improve performance of Hash_Map.get_builtin
Also, if_nothing parameter is suspended
* Remove to_flat_vector.
Interop API requires nested vector (our previous to_vector implementation). Seems that I have misunderstood the docs the first time I read it.
- to_vector does not sort the vector by keys by default
* Fix polyglot hash maps method dispatch
* Add tests that effectively test hash code implementation.
Via hash map that behaves like a hash set.
* Remove Hashcode_Spec
* Add some polyglot tests
* Add Text.== tests for NFD normalization
* Fix NFD normalization bug in Text.java
* Improve performance of EqualsAnyNode.equalsTexts specialization
* Properly compute hash code for Atom and cache it
* Fix Text specialization in HashCodeAnyNode
* Add Hash_Map_Spec as part of all tests
* Remove HashMapTest.java
Providing all the infrastructure for all the needed Truffle nodes is no longer manageable.
* Remove rest of identityHashCode message implementations
* Replace old Map with Hash_Map
* Add some docs
* Add TruffleBoundaries
* Formatting
* Fix some tests to accept unsorted vector from Map.to_vector
* Delete Map.first and Map.last methods
* Add specialization for big integer hash
* Introduce proper HashCodeTest and EqualsTest.
- Use jUnit theories.
- Call nodes directly
* Fix some specializations for primitives in HashCodeAnyNode
* Fix host object specialization
* Remove Any.hash_code
* Fix import in Map.enso
* Update changelog
* Reformat
* Add truffle boundary to BigInteger.hashCode
* Fix performance of HashCodeTest - initialize DataPoints just once
* Fix MetaIsATest
* Fix ValuesGenerator.textual - Java's char is not Text
* Fix indent in Map_Spec.enso
* Add maps to datapoints in HashCodeTest
* Add specialization for maps in HashCodeAnyNode
* Add multiLevelAtoms to ValuesGenerator
* Provide a workaround for non-linear key inserts
* Fix specializations for double and BigInteger
* Cosmetics
* Add truffle boundaries
* Add allowInlining=true to some truffle boundaries.
Increases performance a lot.
* Increase the size of vectors, and warmup time for Vector.Distinct benchmark
* Various small performance fixes.
* Fix Geo_Spec tests to accept unsorted Map.to_vector
* Implement Map.remove
* FIx Visualization tests to accept unsorted Map.to_vector
* Treat java.util.Properties as Map
* Add truffle boundaries
* Invoke polyglot methods on java.util.Properties
* Ignore python tests if python lang is missing
The fix consists of two parts:
1. All the "review-apply" and "store temporary md" actions in the searcher controller are now guarded by an ignored transaction.
2. Because some of the temporary state may reach the UR frames assigned to other actions, added a bunch of code for removing all temporary expressions from the code and use it after restoring a frame. We may consider using it after project load as well.
### Important Notes
Added a useful method "log_err" to ResultOps (so every Result will have those).
Logging: Replace tracing with an efficient logging implementation, with 0-runtime cost for disabled log levels. (https://www.pivotaltracker.com/story/show/183755412)
Profiling: Support submitting `profiler` events to the User Timing Web API, so that measurements can be viewed directly in the browser. (https://www.pivotaltracker.com/story/show/184003550)
# Important Notes
Logging interface:
- The macros (`warn!`, etc.) now take standard `format_args!` arguments (the tracing implementations accepted a broader syntax).
- Compile-time log levels can now be set through the CLI, like so:
`./run ide start --log-level=trace --uncollapsed-log-level=info`
Profiling:
- The hotkey Ctrl+Alt+Shift+P submits all `profiler` events logged since the application was loaded to the Web API, so that they can then be viewed with the browser's developer tools. Note that standard tools are not able to represent async task lifetimes or metadata; this is a convenient interface to a subset of `profiler` data.
- As an alternative interface, a runtime flag enables continuous measurement submission. In the browser it can be set through a URL parameter, like http://localhost:8080/?emit_user_timing_measurements=true. Note that this mode significantly impacts performance.
Fixes an error when the logger processes NPE:
```
[internal-logger-error] One of the printers failed to write a message: java.lang.NullPointerException
```
Fixes https://www.pivotaltracker.com/story/show/184216698
Reduced impact of node dropdown widgets on load times by deferring creation of grid views until each widget is opened. This also improves node editing time, as the dropdowns are not recreated immediately.
This approach of lazy initialization now caused a significant lag when opening the dropdown. Two major causes of the lag spike is glyph generation (msdfgen, `new_glyph`) and shader compilation (happened every time, because each dropdown has unique layer stack). To reduce the impact of that, the shader compiler now caches the shaders based on generated shader source. Glyph creation hasn't been changed and is still slow. The startup performance is now roughly where it was before introducing widgets.
[Task link](https://www.pivotaltracker.com/story/show/184012434)
This PR implements Intermediate Representation for our documentation. Later these data structures would be used to generate HTML and CSS for the documentation panel. For now, we display it in the debug scene.
https://user-images.githubusercontent.com/6566674/210674850-480a3e6e-76c3-4f34-a235-15c44dc9ec01.mp4
# Important Notes
- `suggestion-database` now lives in a separate crate
- also, two utility crates were introduced for the `notification` and `executor` modules of enso-gui
- documentation debug scene is moved to a separate crate
- All refactorings are done in the last two commits
Implements https://www.pivotaltracker.com/n/projects/2539304/stories/184023445
Added a dropdown widget to graph node for all span tree nodes that have tag values present. When an option is selected, the controller receives a partial expression update, which targets specific crumbs of the expression (similar to how edge endpoint updates work).
https://user-images.githubusercontent.com/919491/210219931-8ae418fd-3ac4-44a5-abea-9e670f15cdf9.mp4
# Important Notes
Right now the dropdown widget is recreated every time the node is edited, including a dropdown option being selected. This causes it to close every time. I wanted to get around that by diffing span trees, but I wasn't able to do it in useful way. Additionally, current implementation of node input expression view heavily relies on being reinitialized from scratch every time. This led to more necessary changes than I was comfortable with for this task. I believe it will be easier to implement it as part of more complete widget support, especially after dynamic data support, as we will have proper widget type information.
Implements https://www.pivotaltracker.com/n/projects/2539304/stories/184023380
Dropdown component. Planned to be used in nodes as a single and multiple selection widget, both for static and dynamically loaded values. Initial support is focused on static data, with limited support for dynamic sources. Notably, loading states are not supported yet. Full support for that is planned to be added later with widget lazy-loading.
- Supports single and multiple selections.
- Dedicated API for providing a static list of all entries.
- Range-based query API for dynamically loading data as it is scrolled (only basic support - will need more work for proper async lazy-loading).
- Internal entry cache and query batching to avoid querying data one by one (the batching for now is very basic, will have to be improved for proper lazy-loading).
- Automatic dropdown width adjustment based on the entry label lengths, up to a set max allowed value.
- Open and close animation.
- Keyboard support for focusing and selecting entries.
# Important Notes
Implementing the dropdown on top of grid-view have uncovered some assumptions around grid-view layers. It was assumed to always be a part of the component browser. Removing that assumption required a mechanism for propagating camera update information through layer tree. This is now implemented using a `camera_parent` layer field. Ideally each layer should simply have at most a single parent, and camera inheritance would follow that. That refactor turned out to be quite involved, so right now the simpler temporary solution is introduced in order to not delay this PR further.
Implements `getMetaObject` and related messages from Truffle interop for Enso values and types. Turns `Meta.is_a` into builtin and re-uses the same functionality.
# Important Notes
Adds `ValueGenerator` testing infrastructure to provide unified access to special Enso values and builtin types that can be reused by other tests, not just `MetaIsATest` and `MetaObjectTest`.
This PR provides a visual indication of whether the project's current state differs from the most recent snapshot saved in the VCS. The project name displayed in the IDE changes to a darker text to indicate that the VCS snapshot is outdated, and back to a lighter text when the current project state corresponds to the last saved VCS snapshot.
https://user-images.githubusercontent.com/117099775/208088438-20dfc2aa-2a7d-47bf-bc12-3d3dff7a4974.mp4
The outdated project snapshot indicator is set when:
* A node is moved.
* A node is added or removed.
* The text editor is used to edit the text.
* The project is auto-saved, and the auto-saved project state does not correspond to the last saved snapshot in the VCS.
The outdated project snapshot indicator is cleared when:
* A new project snapshot is successfully saved using `ctrl+s`.
* The project is auto-saved, and the auto-saved project state is confirmed to correspond to the last saved snapshot in the VCS. This occurs, for example, when a project change is undone and the project is reverted to the last saved snapshot state.
The auto-save events do not occur immediately after a project change but have a short delay, thus the VCS status update is affected by the same delay when triggered by an auto-save event.
This removes the special handling of polyglot exceptions and allows matching on Java exceptions in the same way as for any other types.
`Polyglot_Error`, `Panic.catch_java` and `Panic.catch_primitive` are gone
The change mostly deals with the backslash of removing `Polyglot_Error` and two `Panic` methods.
`Panic.catch` was implemented as a builtin instead of delegating to `Panic.catch_primitive` builtin that is now gone.
This fixes https://www.pivotaltracker.com/story/show/182844611
This is an enhancement of the `Slider` component implemented in #3852. It adds the following features:
* Tooltips and precision change hints
* Selectable slider limit behaviors
* Textual slider value editing
* Vertical slider layout
#### Tooltips
An information tooltip can now be added to a slider, it is shown when the mouse hovers over the component. Additionally, a pop-up indicating the slider's precision appears when the slider's precision has been adjusted.
https://user-images.githubusercontent.com/117099775/206148098-3b4dc059-18aa-4200-9ee0-5d4382363810.mp4
#### Slider limits
The previous slider implementation clamped the adjusted value to the slider's minimum/maximum limits. Now the following behaviors are available:
* Hard limits: Clamp the value to a range within the slider's limits.
* Soft limits: The value can extend beyond the slider's limits. When this occurs, an overflow indicator will be displayed on the side of the limit that is exceeded.
* Adaptive limits: The value can extend beyond the slider's limits. When this occurs, the exceeded limit will temporarily be adjusted to double the slider's range. This will be performed iteratively until the value falls within the extended limits. When a limit is extended and the value is adjusted to fit a smaller range, the extended limit will be iteratively halved until only the necessary range is covered. The slider's extended limits will never shrink to a range smaller than the original range.
These behaviors can be set to the lower and upper limits of a slider independently.
https://user-images.githubusercontent.com/117099775/206148139-6149c91d-ef49-4e2d-97f6-71084f52591c.mp4
#### Textual editing
The slider's value can now be entered through a text input field. Double-click to edit the slider's current value. To confirm the edit press `enter`, or press `escape` to cancel the edit. If an invalid value is entered on confirmation the slider will revert to its value before the edit. The slider's precision will be adjusted based on the number of decimal places of the value entered.
https://user-images.githubusercontent.com/117099775/206148170-d3fa4c82-6e73-4b1c-9be9-cb99979f7b70.mp4
#### Vertical layout
The slider component now supports a vertical layout. In this case value adjustment is performed by a vertical mouse movement, and a horizontal movement adjusts the slider's precision. The slider's track now fills the component in a vertical direction, and the slider's label is displayed near the top end of the component.
https://user-images.githubusercontent.com/117099775/206148211-0f176aaf-bc1b-45e2-afd7-0d28391aafcb.mp4
#### Scroll bar mode
The slider component supports two indicator modes:
* `Track`: The component is filled with a colored bar from the lower limit (empty) to the upper limit (full) dependent on the slider's value.
* `Thumb`: The component contains a rounded indicator that moves along the slider from one end to the other, indicating the slider's value proportionally to the slider's limits. The width of the indicator is configurable.
In addition, the value text, text entry, and precision adjustment can be turned off to provide a scroll bar appearance when used with the `Thumb` indicator.
https://user-images.githubusercontent.com/117099775/206148261-ae291073-85e9-4082-9f91-39b65fecdc0f.mp4
#### Example scene shortcuts
The example scene contains two shortcuts in order to evaluate the dynamic addition and removal of the slider components:
* `CTRL+D` drops all the slider components that are added to the scene.
* `CTRL+A` adds a new set of example slider components to the scene.
