- Add `get` to Table.
- Correct `Count Nothing` examples.
- Add `join` to File.
- Add `File_Format.all` listing all installed formats.
- Add some more ALIAS entries.
Fixes https://www.pivotaltracker.com/story/show/184073099
# Important Notes
- Since now the only operator on columns for division, `/`, returns floats, it may be worth creating an additional `div` operator exposing integer division. But that will be done as a separate task aligning column operator APIs.
Remove hardcoded mixpanel token and move it to the config class. This will allow for injection cloud's id and distinguish Enso Ide project from Enso Cloud in mixpanel.
The new `TreeToIr` conversion class inherited usage of `UnhandledEntity` to signal parser errors from the previous `AstToIr` Scala based convertor. Over the time we were improving error recovery - however only _step by step_. This pull request exterminates _all the panics_ for once and forever!
# Important Notes
Unlike Scala, Java has concept of [checked exceptions](http://wiki.apidesign.org/wiki/Checked_exception) - an exception that has to be caught. This PR introduces new checked `SyntaxException` and throws it instead of unchecked `UnhandledEntity`. Because the exception is checked, each method either needs to declare it in its signature or catch it and handle it. No exception can escape or disappear. The main conversion method `TreeToIr.translateModule` doesn't propagate the `SyntaxException`. That provably demonstrates - _all panic states_ are handled and reported as _syntax errors_ in the `IR`.
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
```
Component Groups may add additional modules to compilation. This change ensures that whatever modules result from import/export resolution, they are not duplicate. Not only could that lead to unnecessary compilation but also to multiple reports of the same error which would be confusing to users.
This fixes https://www.pivotaltracker.com/story/show/184189980
# Important Notes
No easy way to write unit tests for this, so skipping that on purpose for now.
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.
Use `InteropLibrary.isString` and `asString` to convert any string value to `byte[]`
# Important Notes
Also contains a support for `Metadata.assertInCode` to help locating the right place in the code snippets.
[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
**Vector**
- Adjusted `Vector.sort` to be `Vector.sort order on by`.
- Adjusted other sort to use `order` for direction argument.
- Added `insert`, `remove`, `index_of` and `last_index_of` to `Vector`.
- Added `start` and `if_missing` arguments to `find` on `Vector`, and adjusted default is `Not_Found` error.
- Added type checking to `+` on `Vector`.
- Altered `first`, `second` and `last` to error with `Index_Out_Of_Bounds` on `Vector`.
- Removed `sum`, `exists`, `head`, `init`, `tail`, `rest`, `append`, `prepend` from `Vector`.
**Pair**
- Added `last`, `any`, `all`, `contains`, `find`, `index_of`, `last_index_of`, `reverse`, `each`, `fold` and `reduce` to `Pair`.
- Added `get` to `Pair`.
**Range**
- Added `first`, `second`, `index_of`, `last_index_of`, `reverse` and `reduce` to `Range`.
- Added `at` and `get` to `Range`.
- Added `start` and `if_missing` arguments to `find` on `Range`.
- Simplified `last` and `length` of `Range`.
- Removed `exists` from `Range`.
**List**
- Added `second`, `find`, `index_of`, `last_index_of`, `reverse` and `reduce` to `Range`.
- Added `at` and `get` to `List`.
- Removed `exists` from `List`.
- Made `all` short-circuit if any fail on `List`.
- Altered `is_empty` to not compute the length of `List`.
- Altered `first`, `tail`, `head`, `init` and `last` to error with `Index_Out_Of_Bounds` on `List`.
**Others**
- Added `first`, `second`, `last`, `get` to `Text`.
- Added wrapper methods to the Random_Number_Generator so you can get random values more easily.
- Adjusted `Aggregate_Column` to operate on the first column by default.
- Added `contains_key` to `Map`.
- Added ALIAS to `row_count` and `order_by`.
Potential workaround to line endings problems after `vcs/restore` operation is executed.
# Important Notes
Not really able to reproduce the problem myself so this PR has a lot of _leap of faith_ in it.
Fixes https://discord.com/channels/401396655599124480/1060273629729927180
The issue was caused by delay in refreshing component browser: if it did not pass when the user pressed enter or cmd+enter, the input was not refreshes in controller and thence in the edited/created node.
Don't propagate errors from `toDisplayString` - construct an error message with `Atom.toString`.
# Important Notes
> currently a failure in to_text is swallowed by `toString` and we cannot detect that something went wrong during the serialization
Not sure how satisfying the solution is, but the error swallowing happens in Truffle and there is little to do with it. We can just catch the error ourselves and produce some meaningful string.
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.
This PR fixes a bug reported in [Task](https://www.pivotaltracker.com/story/show/184159167).
To reproduce the issue, one can do the following steps:
1. Create a new project in the IDE.
2. Check the metadata section in the `Main.enso` file – `IdeMetadata` (a JSON object starting with `"ide":`) contains info for two nodes.
3. Edit the project in the external editor. For example, replace the expression of the second node.
4. Open a project in the IDE and observe the metadata. Now `IdeMetadata` contains three nodes – one unmodified, one added, and one no longer present. It leads to constantly growing metadata if you use an external editor.
This PR fixes the issue by pruning unused node metadata on loading.
No visual changes to the IDE were made.
`Text.trim` `what` argument offered `Text` in `tagValues` - that's wrong. Using the `Text` type isn't allowed value for `Text`
# Important Notes
I had to update three other tests to match the new behavior.
Most of the problems with accessing `ArrayOverBuffer` have been resolved by using `CoerceArrayNode` (https://github.com/enso-org/enso/pull/3817). In `Array.sort` we still however specialized on Array which wasn't compatible with `ArrayOverBuffer`. Similarly sorting JS or Python arrays wouldn't work.
Added a specialization to `Array.sort` to deal with that case. A generic specialization (with `hasArrayElements`) not only handles `ArrayOverBuffer` but also polyglot arrays coming from JS or Python. We could have an additional specialization for `ArrayOverBuffer` only (removed in the last commit) that returns `ArrayOverBuffer` rather than `Array` although that adds additional complexity which so far is unnecessary.
Also fixed an example in `Array.enso` by providing a default argument.
Compiler performed name resolution of literals in type signatures but would silently fail to report any problems.
This meant that wrong names or forgotten imports would sneak in to stdlib.
This change introduces 2 main changes:
1) failed name resolutions are appended in `TypeNames` pass
2) `GatherDiagnostics` pass also collects and reports failures from type
signatures IR
Updated stdlib so that it passes given the correct gatekeepers in place.
VCS restore operation was correctly restoring the state of projects to the requested commit. Unfortunately, after the operation file system was becoming out-of-sync with language server's buffers (and IDE's content versions).
A few important changes are introduced here that complicate the interaction between components:
1) `vcs restore` returns an actual diff between the current state and the
requested commit
2) the response is forwarded to buffer registry first rather than to the client
3) the diff is used to identify appropriate collaborative editors and
notify them about the need to reload buffers from file system
4) all clients of affected open buffers are notified of the change via
`text/didChange` notification. If a file was removed and there were open buffers for it, clients will be notified via `file/event` and editor will be stopped
5) only then the client is notified about a successful restore operation
This PR addresses one of the two problems reported in https://www.pivotaltracker.com/story/show/184097084.
# Important Notes
We need to make sure that IDE correctly responds to `text/didChange` notifications.
Implements https://www.pivotaltracker.com/story/show/184032869
# Important Notes
- Currently we get failures in Full joins on Postgres which show a more serious problem - amending equality to ensure that `[NULL = NULL] == True` breaks hash/merge based indexing - so such joins will be extremely inefficient. All our joins currently rely on this notion of equality which will mean all of our DB joins will be extremely inefficient.
- We need to find a solution that will support nulls and still work OK with indices (but after exploring a few approaches: `COALESCE(a = b, a IS NULL AND b is NULL)`, `a IS NOT DISTINCT FROM b`, `(a = b) OR (a IS NULL AND b is NULL)`; all of which did not work (they all result in `ERROR: FULL JOIN is only supported with merge-joinable or hash-joinable join conditions`) I'm less certain that it is possible. Alternatively, we may need to change the NULL semantics to align it with SQL - this seems like likely the simpler solution, allowing us to generate simple, reliable SQL - the NULL=NULL solution will be cornering us into nasty workarounds very dependent on the particular backend.
`runtime-with-instruments` project sets `-Dgraalvm.locatorDisabled=true` that disables the discovery of available polyglot languages (installed with `gu`). On the other hand, enabling locator makes polyglot languages available, but also makes the program classes and the test classes loaded with different classloaders. This way we're unable to use `EnsoContext` in tests to observe internal context state (there is an exception when you try to cast to `EnsoContext`).
The solution is to move tests with enabled polyglot support, but disabled `EnsoContext` introspection to a separate project.
PR adds a flag to `Text` implementation tracking whether it is in a FCD normal form. Then this information can be used in the `Normalizer.compare` method.
| Benchmark name | Old (ms) | With flag (ms)
| --- | --- | ---
| Unicode very short | 40.29 | 40.04
| Unicode medium | 9.07 | 1.99
| Unicode big - random | 115.39 | 0.35
| Unicode big - early difference | 107.02 | 0.54
| Unicode big - late difference | 749.81 | 94.73
| ASCII very short | 28.13 | 31.13
| ASCII medium | 4.58 | 2.26
| ASCII big - random | 42.68 | 0.26
| ASCII big - early difference | 30.91 | 0.32
| ASCII big - late difference | 66.29 | 42.72
Full benchmark output.
[bench_old.txt](https://github.com/enso-org/enso/files/10325202/bench_old.txt)
[bench_new.txt](https://github.com/enso-org/enso/files/10325201/bench_new.txt)
Many engine sources are written in Scala. IGV doesn't have any support for Scala by default. This PR adds syntax coloring and debugging support for our `.scala` files.
`NestedPatternMatch` pass desugared complex patterns in a very inefficient way resulting in an exponential generation of the number of `case` IR (and Truffle) nodes. Every failed nested pattern would copy all the remaining patterns of the original case expression, in a desugared form. While the execution itself of such deeply nested `case` expression might not have many problems, the time spent in compilation phases certainly was a blocker.
This change desugars deeply nested into individual cases with a fallthrough logic. However the fallthrough logic is implemented directly in Truffle nodes, rather than via IR. That way we can generate much simpler IR for nested patterns.
Consider a simple case of
```
case x of
Cons (Cons a b) Nil -> a + b
Cons a Nil -> a
_ -> 0
```
Before the change, the compiler would generate rather large IR even for those two patterns:
```
case x of
Cons w y -> case w of
Cons a b -> case y of
Nil -> a + b
_ -> case x of
Cons a z -> case z of
Nil -> a
_ -> case x of
_ -> 0
_ -> 0
_ -> case x of
Cons a z -> case z of
Nil -> a
_ -> case x of
_ -> 0
_ -> 0
Cons a z -> case z of
Nil -> a
_ -> case x of
_ -> 0
_ -> 0
```
Now we generate simple patterns with fallthrough semantics and no catch-all branches:
```
case x of
Cons w y -> case w of
Cons a b -> case y of ## fallthrough on failed match ##
Nil -> a + b ## fallthrough on failed match ##
Cons a z -> case z of
Nil -> a ## fallthrough on failed match ##
_ -> 0
```
# Important Notes
If you wonder how much does it improve, then @radeusgd's example in https://www.pivotaltracker.com/story/show/183971366/comments/234688327 used to take at least 8 minutes to compile and run.
Now it takes 5 seconds from cold start.
Also, the example in the benchmark includes compilation time on purpose (that was the main culprit of the slowdown).
For the old implementation I had to kill it after 15 minutes as it still wouldn't finish a single compilation.
Now it runs 2 seconds or less.
Bonus points: This PR will also fix problem reported in https://www.pivotaltracker.com/story/show/184071954 (duplicate errors for nested patterns)
Nested type declaration shall yield a syntax error
# Important Notes
Now the Radek's sample:
```
type Foo
type Bar
main = 42
```
yields
```bash
$ enso --run test.enso
In module test:
Compiler encountered errors:
test.enso[2:9-2:16]: Unexpected declaration in the body of a type.
Aborting due to 1 errors and 0 warnings.
Execution finished with an error: Compilation aborted due to errors.
```
`Any.==` is a builtin method. The semantics is the same as it used to be, except that we no longer assume `x == y` iff `Meta.is_same_object x y`, which used to be the case and caused failures in table tests.
# Important Notes
Measurements from `EqualsBenchmarks` shows that the performance of `Any.==` for recursive atoms increased by roughly 20%, and the performance for primitive types stays roughly the same.
First part of fixing `Text.to_text`.
- add: `pretty` method for pretty printing.
- update: make `Text.to_text` conversion identity for Text
In the next iterations `to_text` will be gradually replaced with `to Text` conversion once the related issues with conversions are fixed.
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`.
