- Handle `WithWarnings` in `IndirectInvokeCallableNode`.
- Handle no RootNode in `ErrorResolver`.
- Allow table vizualisation to cope if no `data` passed.
- Add `Warning.has_warnings` to check if warnings present.
- Adjust `set_value` for `JS_Object` so creates a new object each time.
Put `Nothing` into an empty array rather than `null`. When running with `assert` on (unit tests), check the content of the array and `AssertError` quickly when a `null` is found.
Critical performance improvements after #4067
# Important Notes
- Replace if-then-else expressions in `Any.==` with case expressions.
- Fix caching in `EqualsNode`.
- This includes fixing specializations, along with fallback guard.
Creating two `findExceptionMessage` methods in `HostEnsoUtils` and in `VisualizationResult`. Why two? Because one of them is using `org.graalvm.polyglot` SDK as it runs in _"normal Java"_ mode. The other one is using Truffle API as it is running inside of partially evaluated instrument.
There is a `FindExceptionMessageTest` to guarantee consistency between the two methods. It simulates some exceptions in Enso code and checks that both methods extract the same _"message"_ from the exception. The tests verifies hosted and well as Enso exceptions - however testing other polyglot languages is only possible in other modules - as such I created `PolyglotFindExceptionMessageTest` - but that one doesn't have access to Truffle API - e.g. it doesn't really check the consistency - just that a reasonable message is extracted from a JavaScript exception.
# Important Notes
This is not full fix of #5260 - something needs to be done on the IDE side, as the IDE seems to ignore the delivered JSON message - even if it contains properly extracted exception message.
Implements the #5643 idea. As soon as `MainModule` creates `Context` for GraalVM execution, it schedules a background task to initialize JavaScript. The initialization finishes sooner than Enso compiler is ready to work, saving time when it is actually needed.
# Important Notes
Only modifies boot sequence of `MainModule` (used in the IDE) and `VerifyJavaScriptIsAvailableTest` (to verify the _"context passing logic"_ works OK between threads). Regular CLI execution remains unchanged for now assuming batch execution may not need JavaScript in all the cases and if it does the initialization speed isn't that critical.
When the `project.yaml` specifies an unknown edition, the project is started with the fallback edition (current engine version). It works this way:
- IDE sends project/open request to project manager (specifying only which project to open)
- project manager resolves the project edition (based on `project.yaml`) or selects the fallback if the requested edition cannot be loaded
- project manager starts the language server specifying the edition with the `--server-edition` command line parameter
- language server specifies the correct edition when creates the runtime context
Serialization of FQNs' metadata was broken - we attempted to serialiaze concrete modules and that's against the design.
Added a test illustrating the problem which would previously fail during serialization.
Closes#5037
# Important Notes
It is still hard to discover problems like this because SerializationManager creates system threads; when the exception occurs, it is typically not the real cause. Creating regular threads via `createThread` seems to be problematic for `native-image`. There is a simple workaround for the former but will leave it out for another PR to simplify the review.
Add `Comparator` type class emulation for all types. Migrate all the types in stdlib to this new `Comparator` API. The main documentation is in `Ordering.enso`.
Fixes these pivotals:
- https://www.pivotaltracker.com/story/show/183945328
- https://www.pivotaltracker.com/story/show/183958734
- https://www.pivotaltracker.com/story/show/184380208
# Important Notes
- The new Comparator API forces users to specify both `equals` and `hash` methods on their custom comparators.
- All the `compare_to` overrides were replaced by definition of a custom _ordered_ comparator.
- All the call sites of `x.compare_to y` method were replaced with `Ordering.compare x y`.
- `Ordering.compare` is essentially a shortcut for `Comparable.from x . compare x y`.
- The default comparator for `Any` is `Default_Unordered_Comparator`, which just forwards to the builtin `EqualsNode` and `HashCodeNode` nodes.
- For `x`, one can get its hash with `Comparable.from x . hash x`.
- This makes `hash` as _hidden_ as possible. There are no other public methods to get a hash code of an object.
- Comparing `x` and `y` can be done either by `Ordering.compare x y` or `Comparable.from x . compare x y` instead of `x.compare_to y`.
An exception encountered during serialization prevents engine from continuing because it enters an infinite loop(!).
# Important Notes
The aim of this PR is to make it possible for engine to recover from the serialization failures. Any failure would mean that we enter an infinite loop in deserialization which is in turn waiting for the serialization to finish (which will never happen).
In this particular case FQNs are [referencing concrete modules](https://github.com/enso-org/enso/issues/5037). A separate PR will address that.
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.
- Fixes the display of Date, Time_Of_Day and Date_Time so doesn't wrap.
- Adjust serialization of large integer values for JS and display within table.
- Workaround for issue with using `.lines` in the Table (new bug filed).
- Disabled warning on no specified `separator` on `Concatenate`.
Does not include fix for aggregation on integer values outside of `long` range.
Closes#5036
Move the logic that looks up method pointers from the language server to IDE. This way we can keep the suggestion updates and expression updates async, otherwise it will hurt the initial startup time of LS.
Fixes the issue when some expression updates does not contain the method pointer.
Follow up on
16ba57d465 which marked the tests as flaky.
This test goes back to the original implementation where JGit did all its book-keeping synchronously. When we switched to asynchronous operation, cleaning up the test directory would sometimes not succeed because there would be a race-condition with the ongoing work of JGit.
# Important Notes
In the current setup tagging a test as flaky is only valid for Windows. The other platforms ignore the flag. So we were still getting random failures.
Closes#5038
- Use the proper widget structure.
- Provide new method `get_widget_json` with whole structure, but keep `get_full_annotations_json` in old form.
- Start to get to some reusable functions.
- Added widget to JS_Object field selections.
Start `project-manager` with following options to provide first 20s of the startup sequence:
```
$ project-manager --profiling-events-log-path=start.log --profiling-path=start.npss --profiling-time=20
```
once the `start.log` and `start.npss` files are generated (next to each other), open them in GraalVM's VisualVM:
```
$ graalvm/bin/jvisualvm --openfile start.npss
```
analyze.
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.
JGit ops generally run fast (as in a few milliseconds) except for the first commit. The initialization + first commit was taking at least 3.5 seconds constistenly, but only in the first test case. Now, this led to frequent timeouts down the chain when the request was expected to finish fast.
The bookkeeping involved some timestamping and other expensive calls in order to calculate clock drift. The default appears to be to run it in a blocking mode, hence adding at least 3 seconds to the first command call.
Setting the job to run in the background makes the cost of the repo initialization acceptable (~300 milliseconds on a cold JVM). The other commands are unaffected and take < 10 milliseconds.
# Important Notes
Added a test to ensure that we don't introduce the regression. Marked it as potentially flaky because it uses timestamps and it is therefore prone to random system hiccups.
There is no need for JGit to try to save file attributes to its config in `<home>/jgit/config`. This change ensures that JGit operates on a stub file, without polluting users' configs, similarly to user's git config.
Additionally, noticed that all FS operations during `init` are rather slow and saw at least on one occassion when the handler timed out because of that (https://www.pivotaltracker.com/story/show/184359934). This change provides an init-specific timeout for `vcs/init`.
# Important Notes
This change should reduce chances of failures during VCS initialization.
- New `set` function design - takes a `Column` and works with that more easily and supports control of `Set_Mode`.
- New simple `parse` API on `Column`.
- Separated expression support for `filter` to new `filter_by_expression` on `Table`.
- New `compute` function allowing creation of a column from an expression.
- Added case sensitivity argument to `Column` based on `starts_with`, `ends_with` and `contains`.
- Added case sensitivity argument to `Filter_Condition` for `Starts_With`, `Ends_With`, `Contains` and `Not_Contains`.
- Fixed the issue in JS Table visualisation where JavaScript date was incorrectly set.
- Some dynamic dropdown expressions - experimenting with ways to use them.
- Fixed issue with `.pretty` that wasn't escaping `\`.
- Changed default Postgres DB to `postgres`.
- Fixed SQLite support for starts_with, ends_with and contains to be consistent (using GLOB not LIKE).
When a large long would be passed to a host call expecting a double, it would crash with a
```
Cannot convert '<some long>'(language: Java, type: java.lang.Long) to Java type 'double': Invalid or lossy primitive coercion
```
That is unlikely to be expected by users. It also came up in the Statistics examples during Sum. One could workaround it by forcing the conversion manually with `.to_decimal` but it is not a permanent solution.
Instead this change adds a custom type mapping from Long to Double that will do it behind the scenes with no user interaction. The mapping kicks in only for really large longs.
# Important Notes
Note that the _safe_ range is hardcoded in Truffle and it is not accessible in enso packages. Therefore a simple c&p for that max safe long value was necessary.
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.
![Logical View of language-server project](https://user-images.githubusercontent.com/26887752/215472696-ec9801f3-4692-4bdb-be92-c4d2ab552e60.png)
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).
For graying out the nodes, the engine need to send IDE a set of values that will be computed before executing the program (and the IDE colors them gray). In general, it is tricky to do because we cannot know for sure which exactly nodes will be computed without running the program. But we can estimate based on the invalidated values, which nodes are expected to be executed during the next run, and send them to the IDE. This logic is simpler than the previous approach, and turned out working pretty well in practice.
[Peek-gray-out.webm](https://user-images.githubusercontent.com/357683/215092755-0010e41d-a2cf-447a-900e-4619408effa0.webm)
In the event when the action of the underlying actor crashes really bad, the result of the future will be `Failure`. All such results will be then wrapped in `Status.Failure` via `pipeTo` (unlike `Success` which just forwards the response).
In some cases we don't handle `Status.Failure` messages, meaning we are rather left in the dark to the reason of the failure with a non-informative message `Received unknown message: class akka.actor.Status$Failure`.
I'm keeping this change small on purpose to keep this change self-contained. I think there are more cases but it needs careful investigation into how messages are being sent.
# Important Notes
This PR does not attempt to fix the underlying problem of the ticket, yet. We should however have a better overview where/why things go wrong.
Enso unit tests were running without `-ea` check enabled and as such various invariant checks in Truffle code were not executed. Let's turn the `-ea` flag on and fix all the code misbehaves.
LS needs to notify runtime that modules' sources need to be reloaded from FS, once its own buffer has been reloaded as well.
# Important Notes
Discovered during integration of https://github.com/enso-org/enso/pull/4050.
The test illustrates the problem if we don't reload module's sources - the sources essentially become stale even though they have changed.
When the function is visualized with the `default_preprocessor` method, it returns a dataflow error that shows up in the logs as
```
Cannot encode class org.enso.interpreter.runtime.error.DataflowError to byte array.
```
PR handles dataflow errors in the preprocessor and fallbacks the `to_display_text` value. As a bonus, we get a function visualization.
- add: `GeneralAnnotation` IR node for `@name expression` annotations
- update: compilation pipeline to process the annotation expressions
- update: rewrite `OverloadsResolution` compiler pass so that it keeps the order of module definitions
- add: `Meta.get_annotation` builtin function that returns the result of annotation expression
- misc: improvements (private methods, lazy arguments, build.sbt cleanup)
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).
`@` 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
* 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
Added a separate pass, `FullyQualifiedNames`, that partially resolves fully qualified names. The pass only resolves the library part of the name and replaces it with a reference to the `Main` module.
There are 2 scenarios that could be potentially:
1) the code uses a fully qualified name to a component that has been
parsed/compiled
2) the code uses a fully qualified name to a component that has **not** be
imported
For the former case, it is sufficient to just check `PackageRepository` for the presence of the library name.
In the latter we have to ensure that the library has been already parsed and all its imports are resolved. That would require the reference to `Compiler` in the `FullyQualifiedNames` pass, which could then trigger a full compilation for missing library. Since it has some undesired consequences (tracking of dependencies becomes rather complex) we decided to exclude that scenario until it is really needed.
# Important Notes
With this change, one can use a fully qualified name directly.
e.g.
```
import Standard.Base
main =
Standard.Base.IO.println "Hello world!"
```
Unsetting literal sources during the `text/fileClose` operation would also unlink sources from the actual file. That would be never set back during the reopening of the file, resulting in an NPE during application of changes at a later point.
# Important Notes
Revealed during https://github.com/enso-org/enso/pull/4050 which was the first(?) to do close/open of the file.
The exception showing up in GUI and preventing further actions is now gone.
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`.
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.
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.
**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.
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.
`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)
`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 `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`.
Use JavaScript to parse and serialise to JSON. Parses to native Enso object.
- `.to_json` now returns a `Text` of the JSON.
- Json methods now `parse`, `stringify` and `from_pairs`.
- New `JSON_Object` representing a JavaScript Object.
- `.to_js_object` allows for types to custom serialize. Returning a `JS_Object`.
- Default JSON format for Atom now has a `type` and `constructor` property (or method to call for as needed to deserialise).
- Removed `.into` support for now.
- Added JSON File Format and SPI to allow `Data.read` to work.
- Added `Data.fetch` API for easy Web download.
- Default visualization for JS Object trunctes, and made Vector default truncate children too.
Fixes defect where types with no constructor crashed on `to_json` (e.g. `Matching_Mode.Last.to_json`.
Adjusted default visualisation for Vector, so it doesn't serialise an array of arrays forever.
Likewise, JS_Object default visualisation is truncated to a small subset.
New convention:
- `.get` returns `Nothing` if a key or index is not present. Takes an `other` argument allowing control of default.
- `.at` error if key or index is not present.
- `Nothing` gains a `get` method allowing for easy propagation.
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
Benchmark to compare _curried and lambda_ based function invocations and a fix to make _curried_ invocation (at least) as fast as the _lambda_ one. Allows us to use _curried invocations_ in standard library again without loosing any speed.
# Important Notes
Execute as:
```
sbt:runtime> benchOnly CurriedFunctionBenchmarks
```
Prior to subsequent bugfixes in this PR the benchmark results were:
- `averageCurried` runs in 0.290 ms
- `averageLambda` runs in 0.122 ms
e.g. _curried invocations_ is more than twice slow. That confirms our findings from the `Array_Proxy` vector benchmarks. The problem is that _function object is not compilation final_. After fixing it we have following results:
- `averageCurried` runs in 0.102 ms
- `averageLambda` runs in 0.111 ms
e.g. both operations are of similar complexity.
- Implemented https://www.pivotaltracker.com/story/show/183913276
- Refactored MultiValueIndex and MultiValueKeys to be more type-safe and more direct about using ordered or unordered maps.
- Added performance tests ensuring we use an efficient algorithm for the joins (the tests will fail for a full O(N*M) scan).
- Removed some duplicate code in the Table library.
- Added optional coloring of test results in terminal to make failures easier to spot.
- Aligned `compare_to` so returns `Type_Error` if `that` is wrong type for `Text`, `Ordering` and `Duration`.
- Add `empty_object`, `empty_array`. `get_or_else`, `at`, `field_names` and `length` to `Json`.
- Fix `Json` serialisation of NaN and Infinity (to "null").
- Added `length`, `at` and `to_vector` to Pair (allowing it to be treated as a Vector).
- Added `running_fold` to the `Vector` and `Range`.
- Added `first` and `last` to the `Vector.Builder`.
- Allow `order_by` to take a single `Sort_Column` or have a mix of `Text` and `Sort_Column.Name` in a `Vector`.
- Allow `select_columns_helper` to take a `Text` value. Allows for a single field in group_by in cross_tab.
- Added `Patch` and `Custom` to HTTP_Method.
- Added running `Statistic` calculation and moved more of the logic from Java to Enso. Performance seems similar to pure Java version now.
Fighting with _too many messages being delivered_ I wrote a test that dumps information about `AvoidIdInstrumentationTag` - every node that has `AvoidIdInstrumentationTag` is excluded from the instrumentation. However, when I look at the output for
```
from Standard.Base import all
import Standard.Visualization
run n = 0.up_to n . map i-> 1.noise * i
```
I see that `1.noise` didn't have the tag. Now there is [AvoidIdInstrumentationTagTest.java](https://github.com/enso-org/enso/pull/3973/files#diff-32cd9240bda2bfe0e5904695ced008daba86fefb3d137ac401997f4265fa50eb) which can be used to collect all programs where _too many messages is being delivered_. Just add a program, identify _isLambda_ and verify all nodes are properly tagged.
```
from Standard.Base import all
main =
value = 1
case value of
1 -> IO.println "one"
2 -> IO.println "two"
-1 -> IO.println "minus one"
_ -> IO.println "other"
```
# Important Notes
Had to write new `ExecCompilerTest` as comparing the AST with old compiler produced miserable results - the old AST wasn't ready for negative constants in `case of` at all.
Apparently
```
git --git-dir .enso/.vcs log refs/heads/master
fatal: ambiguous argument 'refs/heads/master': unknown revision or path not in the working tree.
```
but
```
git --git-dir .enso/.vcs log HEAD
fatal: ambiguous argument 'refs/heads/master': unknown revision or path not in the working tree.
```
works just fine on Windows.
Added some safeguards to avoid propagating weird errors because of retrieving element from an
empty Option.
The presence of `.git` in Enso's data directory (`.enso`), which should be under VCS as well, turned out to be really problematic. Git (and JGit) treat `.enso` as a submodule which prevents as from manual inspection of the repo. Additionally, every commit changed the submodule version, which in turn was reporting invalid/changed status always.
This change renames `.enso/.git` to `.enso/.vcs` which eliminates a lot of problems. Additionally, rather than doing `git add .` we selectively add files to the index, thus preventing most of the issues reported in the ticket.
This change also means that JGit's status needs to filter `.enso/.vcs` as those will be marked as untracked always.
# Important Notes
To manually test the status of the project's repo do
```
git --git-dir .enso/.vcs status
```
Using lambda instead of higher order function.
# Important Notes
Running:
```
sbt:runtime> benchOnly VectorBenchmarks.averageOverArrayProxy
```
speeds up from `0.038 ms/op` to `0.016 ms/op` on my computer. Which seems good enough.
Fixes bug in visualization of host polyglot values - `ExpressionNode` is only wrapped once Chrome inspector instrument is attached to the context. With this fix, when chromeinspector is attached (`enso --run --inspect ...`), all the host values are reinterpreted as text - the assumption is invalidated. But when running as language server, nothing is wrapped.
Allow arbitrary expression evaluation in the chromeinspector console. Moreover, allow modifications of any variable in any stack frame.
# Important Notes
- Implement inline parsing in `EnsoLanguage.parse(InlineParsingRequest)`.
- Debugging experience is affected by this [bug in Truffle](https://github.com/oracle/graal/issues/5513), which causes NPEs when a host object gets into chromeinspector. I tried to implement a workaround, but it does not work all the time. Nevertheless, it should not matter that much - if there is a NPE in the debugger, you can just ignore it, as it should be concealed in the debugger and should not be propagted outside. See comments in the `docs/debugger`.
* Sequence literal (Vector) should preserve warnings
When Vector was created via a sequence literal, we simply dropped any
associated any warnings associated with it.
This change propagates Warnings during the creation of the Vector.
Ideally, it would be sufficient to propagate warnings from the
individual elements to the underlying storage but doesn't go well with
`Vector.fromArray`.
* update changelog
* Array-like structures preserver warnings
Added a WarningsLibrary that exposes `hasWarnings` and `getWarnings`
messages. That way we can have a single storage that defines how to
extract warnings from an Array and the others just delegate to it.
This simplifies logic added to sequence literals to handle warnings.
* Ensure polyglot method calls are warning-free
Since warnings are no longer automatically extracted from Array-like
structures, we delay the operation until an actual polyglot method call
is performed.
Discovered a bug in `Warning.detach_selected_warnings` which was missing
any usage or tests.
* nits
* Support multi-dimensional Vectors with warnings
* Propagate warnings from case branches
* nit
* Propagate all vector warnings when reading element
Previously, accessing an element of an Array-like structure would only
return warnings of that element or of the structure itself.
Now, accessing an element also returns warnings from all its elements as
well.
- Moved `to_default_visualization_data` to `Standard.Visualization`.
- Remove the use of `is_a` in favour of case statements.
- Stop exporting Standard.Base.Error.Common.
- Separate errors to own files.
- Change constructors to be called `Error`.
- Rename `Caught_Panic.Caught_Panic_Data` -> `Caught_Panic.Panic`.
- Rename `Project_Description.Project_Description_Data` ->`Project_Description.Value`
- Rename `Regex_Matcher.Regex_Matcher_Data` -> `Regex_Matcher.Value` (can't come up with anything better!).
- Rename `Range.Value` -> `Range.Between`.
- Rename `Interval.Value` -> `Interval.Between`.
- Rename `Column.Column_Data` -> `Column.Value`.
- Rename `Table.Table_Data` -> `Table.Value`.
- Align all the Error types in Table.
- Removed GEO Json bits from Table.
- `Json.to_table` doesn't have the GEO bits anymore.
- Added `Json.geo_json_to_table` to add the functions back in.
# Important Notes
No more exports from anywhere but Main!
No more `_Data` constructors!
- Moved `Any`, `Error` and `Panic` to `Standard.Base`.
- Separated `Json` and `Range` extensions into own modules.
- Tidied `Case`, `Case_Sensitivity`, `Encoding`, `Matching`, `Regex_Matcher`, `Span`, `Text_Matcher`, `Text_Ordering` and `Text_Sub_Range` in `Standard.Base.Data.Text`.
- Tidied `Standard.Base.Data.Text.Extensions` and stopped it re-exporting anything.
- Tidied `Regex_Mode`. Renamed `Option` to `Regex_Option` and added type to export.
- Tidied up `Regex` space.
- Tidied up `Meta` space.
- Remove `Matching` from export.
- Moved `Standard.Base.Data.Boolean` to `Standard.Base.Boolean`.
# Important Notes
- Moved `to_json` and `to_default_visualization_data` from base types to extension methods.
Converting `Integer.parse` into a builtin and making sure it can parse big values like `100!`. Adding `locale` parameter to `Locale.parse` and making sure it parses `32,5` as `32.5` double in Czech locale.
# Important Notes
Note that one cannot
```
import Standard.Table as Table_Module
```
because of the 2-component name restriction that gets desugared to `Standard.Table.Main` and we have to write
```
import Standard.Table.Main as Table_Module
```
in a few places. Once we move `Json.to_table` extension this can be improved.
Disabling `musl` as it isn't capable to load dynamic library.
# Important Notes
With this change it is possible to:
```
$ sbt bootstrap
$ sbt engine-runner/buildNativeImage
$ ./runner --run ./engine/runner/src/test/resources/Factorial.enso 3
6
$ ./runner --run ./engine/runner/src/test/resources/Factorial.enso 4
24
$ ./runner --run ./engine/runner/src/test/resources/Factorial.enso 100
93326215443944152681699238856266700490715968264381621468592963895217599993229915608941463976156518286253697920827223758251185210916864000000000000000000000000
```
Is it OK, @radeusgd to disable `musl`? If not, we would have to find a way to link the parser in statically, not dynamically.
It appears that when were doing
`from XYZ import all`
the module `XYZ` was also being taken into account during name resolution.
This was unfortunate and became problematic when one had a type with the same name defined in it.
During pattern matching one could not simply do
```
from XYZ import all
...
case ... of
_ : XYZ -> ...
```
since the compiler would complain that we try to pattern match on a type but give it a module.
The module is now excluded from the name resolution, when importing everything from the module.
It appears that this "feature" was used in a number of our tests, so they had to be adapted.
This fixes task 4 in https://www.pivotaltracker.com/story/show/183833055
Rather than hard-coding `.git` in the root of the project, VCS should save data into Enso's data directory (i.e. `.enso`).
This change reshuffles initialization and configuration to store Git VCS metadata by default at `.enso/.git`.
This is follow up to https://github.com/enso-org/enso/pull/3851
# Important Notes
Apparently a custom Git directory in JGit means that it always creates a `.git` **file** with `gitdir` pointing to the custom location.
This is not necessary in our case since all our commands provide that explicitly.
That is why `init` operation removes `.git` file, which may seem a bit counter-intuitive.
By default all polyglot symbols that have been imported were always exported. This means that importing a module that had some polyglot imports brought them into the scope automatically. This didn't follow our desired semantics.
Fixes task 3 in https://www.pivotaltracker.com/story/show/183833055.
- Export all for `Problem_Behavior` (allowing for Report_Warning, Report_Error and Ignore to be trivially used).
- Renamed `Range.Range_Data` to `Range.Value` moved to using `up_to` wherever possible.
- Reviewed `Function`, `IO`, `Polyglot`, `Random`, `Runtime`, `System`.
- `File` now published as type. Some static methods moved to `Data` others into type. Removed `read_bytes` static.
- New `Data` module for reading input data in one place (e.g. `Data.read_file`) will add `Data.connect` later.
- Added `Random` module to the exports.
- Move static methods into `Warning` type and exporting the type not the module.
# Important Notes
- Sorted a few imports into order (ordering by direct import in project, then by from import in project then polyglot and finally self imports).
Upgrading to GraalVM 22.3.0.
# Important Notes
- Removed all deprecated `FrameSlot`, and replaced them with frame indexes - integers.
- Add more information to `AliasAnalysis` so that it also gathers these indexes.
- Add quick build mode option to `native-image` as default for non-release builds
- `graaljs` and `native-image` should now be downloaded via `gu` automatically, as dependencies.
- Remove `engine-runner-native` project - native image is now build straight from `engine-runner`.
- We used to have `engine-runner-native` without `sqldf` in classpath as a workaround for an internal native image bug.
- Fixed chrome inspector integration, such that it shows values of local variables both for current stack frame and caller stack frames.
- There are still many issues with the debugging in general, for example, when there is a polyglot value among local variables, a `NullPointerException` is thrown and no values are displayed.
- Removed some deprecated `native-image` options
- Remove some deprecated Truffle API method calls.
Previously, when exporting the same module multiple times only the first statement would count and the rest would be discarded by the compiler.
This change allows for multiple exports of the same module e.g.,
```
export project.F1
from project.F1 export foo
```
Multiple exports may however lead to conflicts when combined with hiding names. Added logic in `ImportResolver` to detect such scenarios.
This fixes https://www.pivotaltracker.com/n/projects/2539304/stories/183092447
# Important Notes
Added a bunch of scenarios to simulate pos and neg results.
RuntimeStdlibTest now checks that names in type signatures are qualified (aka poor man's typechecker)
Will be merged after the stdlib tidying by James is complete.
Fixes `NullPointerException` in `TreeToIr` by detecting the case and raising `UnexpectedExpression` syntax error.
# Important Notes
This PR prevents the `NullPointerException`. It doesn't change the meaning of `x.` (followed by space) `length`. It just detects when `Tree.OprApp.getRhs() == null` and treats that as an error.
`LocalDate.now()` returns time in system time zone, and git uses UTC. Sometimes it can cause test to fail
```
INFO ide_ci::program::command: sbtℹ️ [info] - must create a commit with a timestamp *** FAILED ***
INFO ide_ci::program::command: sbtℹ️ [info] "2022-11-18T23:05:01.768499800Z" did not start with substring "2022-11-19" (VcsManagerTest.scala:201)
```
- Moved static methods into `Locale` type. Publishing type not module.
- Stop publishing `Nil` and `Cons` from `List`.
- Tidied up `Json` and merged static in to type. Sorted out various type signatures which used a `Constructor`. Now exporting type and extensions.
- Tidied up `Noise` and merge `Generator` into file. Export type not module.
- Moved static method of `Map` into type. Publishing type not module.
# Important Notes
- Move `Text.compare_to` into `Text`.
- Move `Text.to_json` into `Json`.
* Tidy Bound and Interval.
* Fix Interval tests.
* Fix Interval tests.
* Restructure Index_Sub_Range to new Type/Statics.
* Adjust for Vector exported as a type and static methods on it.
* Tidy Maybe.
* Fix issue with Line_Ending_Style.
* Revert Filter_Condition change.
Fix benchmark test issue.
Tidy imports on Index_Sub_Range.
* Revert Filter_Condition change.
Fix benchmark test issue.
Tidy imports on Index_Sub_Range.
* Can't export constructors unless exported from type in module.
* Fix failing tests.
Ignore gitconfig located in the user's home directory when creating Git instance.
For example, I setup git to automatically sign commits. And all git related tests are failing because of that:
```
[info] - should return last X commits *** FAILED ***
[info] org.eclipse.jgit.api.errors.ServiceUnavailableException: Signing service is not available
[info] at org.eclipse.jgit.api.CommitCommand.sign(CommitCommand.java:328)
[info] at org.eclipse.jgit.api.CommitCommand.call(CommitCommand.java:283)
[info] at org.enso.languageserver.vcsmanager.GitSpec$InitialRepoSetup.setup(GitSpec.scala:360)
[info] at org.enso.languageserver.vcsmanager.GitSpec$InitialRepoSetup.setup$(GitSpec.scala:348)
[info] at org.enso.languageserver.vcsmanager.GitSpec$$anon$16.setup(GitSpec.scala:275)
[info] at org.enso.languageserver.vcsmanager.GitSpec$InitialRepoSetup.$init$(GitSpec.scala:346)
[info] at org.enso.languageserver.vcsmanager.GitSpec$$anon$16.<init>(GitSpec.scala:275)
[info] at org.enso.languageserver.vcsmanager.GitSpec.$anonfun$new$35(GitSpec.scala:275)
[info] at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info] at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info] ...
```
- Allow `Map` to store a `Nothing` key (fixes `Vector.distinct` with a `Nothing`).
- Add `column_names` method to `Table` as a shorthand.
- Return data flow error when comparing with Nothing (not a Panic or a Polyglot exception).
- Allow milli and micro second for DateTime and Time Of Day
# Important Notes
- Added a load of tests for the various comparison operators to Numbers_Spec.
It appears that we were always adding builtin methods to the scope of the module and the builtin type that shared the same name.
This resulted in some methods being accidentally available even though they shouldn't.
This change treats differently builtins of types and modules and introduces auto-registration feature for builtins.
By default all builtin methods are registered with a type, unless explicitly defined in the annotation property.
Builtin methods that are auto-registered do not have to be explicitly defined and are registered with the underlying type.
Registration correctly infers the right type, depending whether we deal with static or instance methods.
Builtin methods that are not auto-registered have to be explicitly defined **always**. Modules' builtin methods are the prime example.
# Important Notes
Builtins now carry information whether they are static or not (inferred from the lack of `self` parameter).
They also carry a `autoRegister` property to determine if a builtin method should be automatically registered with the type.
Two fixes in `EnsoCompilerTest` to align new parser with the previous behavior.
# Important Notes
Removes two `@Ignore` annotations. One test was already working. Another one is fixed by Kaz's idea to ignore _"empty block"_ application.
Libraries: Revert changes that were necessitated by a new rule we have decided not to introduce.
Parser:
- Support mixed constructors/bindings in types.
- Disallow zero-length hex sequences in character escapes: `\x`, `\u`, `\u{}`, `\U`, `\U{}` are no longer legal synonyms for `\0` (matches old parser behavior).
This change adds support for Version Controlled projects in language server.
Version Control supports operations:
- `init` - initialize VCS for a project
- `save` - commit all changes to the project in VCS
- `restore` - ability to restore project to some past `save`
- `status` - show the status of the project from VCS' perspective
- `list` - show a list of requested saves
# Important Notes
Behind the scenes, Enso's VCS uses git (or rather [jGit](https://www.eclipse.org/jgit/)) but nothing stops us from using a different implementation as long as it conforms to the establish API.
Computing length of a text takes time. Let's cache it after first computation.
# Important Notes
Wrote `StringBenchmarks` that sums lengths of (the same) `Text` present many time in a `Vector`. Initially it took `383.673 ms` per operation. Then it took `0.031 ms/op`. Looks like the `length` calls are returning instantly as they get cached.
This PR mimics test cases from #3860 and makes sure `IR.Syntax.Error` is constructed at appropriate places rather than just yielding an `UnhandledEntity` exception.
# Important Notes
Merge before #3611 to minimize disruption when changing the parser.
Another set of improvements extracted from #3611. This time it includes a fix to the Rust part of the parser.
# Important Notes
After digging into metadata parsing I realized the positions used to query the BTree data structure are wrong. This PR tries to address that by re-arranging the order of serialized fields and passing `startCode` and `endCode` locations in.
Originally I though I need changes on the Rust side to support `in` operator. Turned out I can do that just with changes on the Java side.
Qualified names in imports were missing UUIDs. Fixed now.
To minimize differences between #3611 and `develop` branch I propose to make following code changes that seem to work fine with the old as well as new parser. In addition to that there are new tests comparing the two parsers.
# Important Notes
Old parser is still used everywhere except `EnsoCompilerTest` where the test compares `IR`s constructed by both parsers.
Another set of fixes extracted from #3611. `CodeLocationsTest` test has been made more flexible to allow _"off by one"_ differences in the offset locations between the old and new parser.
Fix bugs in `TreeToIr` (rewrite) and parser. Implement more undocumented features in parser. Emulate some old parser bugs and quirks for compatibility.
Changes in libs:
- Fix some bugs.
- Clean up some odd syntaxes that the old parser translates idiosyncratically.
- Constructors are now required to precede methods.
# Important Notes
Out of 221 files:
- 215 match the old parser
- 6 contain complex types the old parser is known not to handle correctly
So, compared to the old parser, the new parser parses 103% of files correctly.
This PR adds `Period` type, which is a date-only complement to `Duration` builtin type.
# Important Notes
- `Period` replaces `Date_Period`, and `Time_Period`.
- Added shorthand constructors for `Duration` and `Period`. For example: `Period.days 10` instead of `Period.new days=10`.
- `Period` can be compared to other `Period` in some cases, other cases throw an error.
Define start of Enso epoch as 15th of October 1582 - start of the Gregorian calendar.
# Important Notes
- Some (Gregorian) calendar related functionalities within `Date` and `Date_Time` now produces a warning if the receiving Date/Date_Time is before the epoch start, e.g., `week_of_year`, `is_leap_year`, etc.
1. Changes how we do monadic state – rather than a haskelly solution, we now have an implicit env with mutable data inside. It's better for the JVM. It also opens the possibility to have state ratained on exceptions (previously not possible) – both can now be implemented.
2. Introduces permission check system for IO actions.
Moved loading of Builtin Types and Methods to a static initializer. That way the information is available at Native Image build time and one does not have to update a corresponding entry in `reflect-config` which would be a real pain when we start using it in anger.
Fixes https://www.pivotaltracker.com/story/show/183374932
Most of the time, rather than defining the type of the parameter of the builtin, we want to accept every Array-like object i.e. Vector, Array, polyglot Array etc.
Rather than writing all possible combinations, and likely causing bugs on the way anyway as we already saw, one should use `CoerceArrayNode` to convert to Java's `Object[]`.
Added various test cases to illustrate the problem.
Another part of #3611 with few more `TreeToIr` improvements.
# Important Notes
Unofficial `LoadParser.sh` check from #3611 of all library files now reports just 54 failures out of 222 files - e.g. 75% success rate.
A new test to verify that some `Standard.Base` library files can be parsed by the new parser is added. Use it as:
```bash
$ sbt bootstrap
$ sbt buildEngineDistribution
$ sbt "runtime/testOnly *ParseStdLibTest"
```
By having this test instantly available we can block integration of PRs that would decrease the number of parseable files or introduce new files that aren't paseable.
# Important Notes
The test contains a _black list_ of classes that are currently known to fail. Over the time the _black list_ shall get smaller and smaller.
The main culprit of a Vector slowdown (when compared to Array) was the normalization of the index when accessing the elements. Turns out that the Graal was very persistent on **not** inlining that particular fragment and that was degrading the results in benchmarks.
Being unable to force it to do it (looks like a combination of thunk execution and another layer of indirection) we resorted to just moving the normalization to the builtin method. That makes Array and Vector perform roughly the same.
Moved all handling of invalid index into the builtin as well, simplifying the Enso implementation. This also meant that `Vector.unsafe_at` is now obsolete.
Additionally, added support for negative indices in Array, to behave in the same way as for Vector.
# Important Notes
Note that this workaround only addresses this particular perf issue. I'm pretty sure we will have more of such scenarios.
Before the change `averageOverVector` benchmark averaged around `0.033 ms/op` now it does consistently `0.016 ms/op`, similarly to `averageOverArray`.
Another part of #3611 ready for integration into `develop` branch.
# Important Notes
Test `org.enso.compiler.EnsoCompilerTest.testTestGroup` is ignored as it has problems with source offsets - identifiers don't have the appropriate names due to `Tree.codeRepr()` being _off_.