Try following enso program:
```
main =
here.debug
foreign js debug = """
debugger;
```
it crashes the engine with exception:
```
Execution finished with an error: java.lang.ClassCastException: class com.oracle.truffle.js.runtime.builtins.JSFunctionObject$Unbound cannot be cast to class org.enso.interpreter.runtime.callable.CallerInfo (com.oracle.truffle.js.runtime.builtins.JSFunctionObject$Unbound and org.enso.interpreter.runtime.callable.CallerInfo are in unnamed module of loader com.oracle.graalvm.locator.GraalVMLocator$GuestLangToolsLoader @55cb6996)
at <java> org.enso.interpreter.runtime.callable.function.Function$ArgumentsHelper.getCallerInfo(Function.java:352)
at <java> org.enso.interpreter.instrument.ReplDebuggerInstrument$ReplExecutionEventNodeImpl.onEnter(ReplDebuggerInstrument.java:179)
at <java> org.graalvm.truffle/com.oracle.truffle.api.instrumentation.ProbeNode$EventProviderChainNode.innerOnEnter(ProbeNode.java:1397)
at <java> org.graalvm.truffle/com.oracle.truffle.api.instrumentation.ProbeNode$EventChainNode.onEnter(ProbeNode.java:912)
at <java> org.graalvm.truffle/com.oracle.truffle.api.instrumentation.ProbeNode.onEnter(ProbeNode.java:216)
at <java> com.oracle.truffle.js.nodes.JavaScriptNodeWrapper.execute(JavaScriptNodeWrapper.java:44)
at <java> com.oracle.truffle.js.nodes.control.DiscardResultNode.execute(DiscardResultNode.java:88)
at <java> com.oracle.truffle.js.nodes.function.FunctionBodyNode.execute(FunctionBodyNode.java:73)
at <java> com.oracle.truffle.js.nodes.JavaScriptNodeWrapper.execute(JavaScriptNodeWrapper.java:45)
at <java> com.oracle.truffle.js.nodes.function.FunctionRootNode.executeInRealm(FunctionRootNode.java:150)
at <java> com.oracle.truffle.js.runtime.JavaScriptRealmBoundaryRootNode.execute(JavaScriptRealmBoundaryRootNode.java:93)
at <js> <js> poly_enso_eval(Unknown)
at <epb> <epb> null(Unknown)
at <enso> Prg.debug(Prg.enso:27-28)
```
- Remove `from_xls` and `from_xlsx`.
- Add `headers` support to `File_Format.Excel`.
- Altered default read for Excel to be the first sheet.
- Altered behavior so that single cells grow down and right when reading sheet.
- Altered `Excel_Range` so knows if single cell or 1x1 range address.
# Important Notes
- Renamed `Range` to `Cell_Range` to avoid name clash.
A semi-manual s/this/self appied to the whole standard library.
Related to https://www.pivotaltracker.com/story/show/182328601
In the compiler promoted to use constants instead of hardcoded
`this`/`self` whenever possible.
# Important Notes
The PR **does not** require explicit `self` parameter declaration for methods as this part
of the design is still under consideration.
This introduces a tiny alternative to our stdlib, that can be used for testing the interpreter. There are 2 main advantages of such a solution:
1. Performance: on my machine, `runtime-with-intstruments/test` drops from 146s to 65s, while `runtime/test` drops from 165s to 51s. >6 mins total becoming <2 mins total is awesome. This alone means I'll drink less coffee in these breaks and will be healthier.
2. Better separation of concepts – currently working on a feature that breaks _all_ enso code. The dependency of interpreter tests on the stdlib means I have no means of incremental testing – ALL of stdlib must compile. This is horrible, rendered my work impossible, and resulted in this PR.
- Removed `select` method.
- Removed `group` method.
- Removed `Aggregate_Table` type.
- Removed `Order_Rule` type.
- Removed `sort` method from Table.
- Expanded comments on `order_by`.
- Update comment on `aggregate` on Database.
- Update Visualisation to use new APIs.
- Updated Data Science examples to use new APIs.
- Moved Examples test out of Tests to own test.
# Important Notes
Need to get Examples_Tests added to CI.
Implements https://www.pivotaltracker.com/story/show/182309559
This task implements common scaffolding for the `Table.write`, so that the particular implementations for Delimited and Excel file formats can be done in parallel.
Auto-generate all builtin methods for builtin `File` type from method signatures.
Similarly, for `ManagedResource` and `Warning`.
Additionally, support for specializations for overloaded and non-overloaded methods is added.
Coverage can be tracked by the number of hard-coded builtin classes that are now deleted.
## Important notes
Notice how `type File` now lacks `prim_file` field and we were able to get rid off all of those
propagating method calls without writing a single builtin node class.
Similarly `ManagedResource` and `Warning` are now builtins and `Prim_Warnings` stub is now gone.
Implemented the `order_by` function with support for all modes of operation.
Added support for case insensitive natural order.
# Important Notes
- Improved MultiValueIndex/Key to not create loads of arrays.
- Adjusted HashCode for MultiValueKey to have a simple algorithm.
- Added Text_Utils.compare_normalized_ignoring_case to allow for case insensitive comparisons.
- Fixed issues with ObjectComparator and added some unit tests for it.
- Merge the two approaches and makes them consistent
- Add warning support into Reader
# Important Notes
- Added support for JUnit format XML generation on tests. Use `ENSO_TEST_JUNIT_DIR`
- Added new `Statistic`s: Covariance, Pearson, Spearman, R Squared
- Added `covariance_matrix` function
- Added `pearson_correlation` function to compute correlation matrix
- Added `rank_data` and Rank_Method type to create rankings of a Vector
- Added `spearman_correlation` function to compute Spearman Rank correlation matrix
# Important Notes
- Added `Panic.throw_wrapped_if_error` and `Panic.handle_wrapped_dataflow_error` to help with errors within a loop.
- Removed `Array.set_at` use from `Table.Vector_Builder`
The change promotes static methods of `Ref`, `get` and `put`, to be
methods of `Ref` type.
The change also removes `Ref` module from the default namespace.
Had to mostly c&p functional dispatch for now, in order for the methods
to be found. Will auto-generate that code as part of builtins system.
Related to https://www.pivotaltracker.com/story/show/182138899
- Implements various statistics on Vector
# Important Notes
Some minor codebase improvements:
- Some tweaks to Any/Nothing to improve performance
- Fixed bug in ObjectComparator
- Added if_nothing
- Removed Group_By_Key
- Read in Excel files following the specification.
- Support for XLSX and XLS formats.
- Ability to select ranges and sheets.
- Skip Rows and Row Limits.
# Important Notes
- Minor fix to DelimitedReader for Windows
This PR replaces hard-coded `@Builtin_Method` and `@Builtin_Type` nodes in Builtins with an automated solution
that a) collects metadata from such annotations b) generates `BuiltinTypes` c) registers builtin methods with corresponding
constructors.
The main differences are:
1) The owner of the builtin method does not necessarily have to be a builtin type
2) You can now mix regular methods and builtin ones in stdlib
3) No need to keep track of builtin methods and types in various places and register them by hand (a source of many typos or omissions as it found during the process of this PR)
Related to #181497846
Benchmarks also execute within the margin of error.
### Important Notes
The PR got a bit large over time as I was moving various builtin types and finding various corner cases.
Most of the changes however are rather simple c&p from Builtins.enso to the corresponding stdlib module.
Here is the list of the most crucial updates:
- `engine/runtime/src/main/java/org/enso/interpreter/runtime/builtin/Builtins.java` - the core of the changes. We no longer register individual builtin constructors and their methods by hand. Instead, the information about those is read from 2 metadata files generated by annotation processors. When the builtin method is encountered in stdlib, we do not ignore the method. Instead we lookup it up in the list of registered functions (see `getBuiltinFunction` and `IrToTruffle`)
- `engine/runtime/src/main/java/org/enso/interpreter/runtime/callable/atom/AtomConstructor.java` has now information whether it corresponds to the builtin type or not.
- `engine/runtime/src/main/scala/org/enso/compiler/codegen/RuntimeStubsGenerator.scala` - when runtime stubs generator encounters a builtin type, based on the @Builtin_Type annotation, it looks up an existing constructor for it and registers it in the provided scope, rather than creating a new one. The scope of the constructor is also changed to the one coming from stdlib, while ensuring that synthetic methods (for fields) also get assigned correctly
- `engine/runtime/src/main/scala/org/enso/compiler/codegen/IrToTruffle.scala` - when a builtin method is encountered in stdlib we don't generate a new function node for it, instead we look it up in the list of registered builtin methods. Note that Integer and Number present a bit of a challenge because they list a whole bunch of methods that don't have a corresponding method (instead delegating to small/big integer implementations).
During the translation new atom constructors get initialized but we don't want to do it for builtins which have gone through the process earlier, hence the exception
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/MethodProcessor.java` - @Builtin_Method processor not only generates the actual code fpr nodes but also collects and writes the info about them (name, class, params) to a metadata file that is read during builtins initialization
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/MethodProcessor.java` - @Builtin_Method processor no longer generates only (root) nodes but also collects and writes the info about them (name, class, params) to a metadata file that is read during builtins initialization
- `lib/scala/interpreter-dsl/src/main/java/org/enso/interpreter/dsl/TypeProcessor.java` - Similar to MethodProcessor but handles @Builtin_Type annotations. It doesn't, **yet**, generate any builtin objects. It also collects the names, as present in stdlib, if any, so that we can generate the names automatically (see generated `types/ConstantsGen.java`)
- `engine/runtime/src/main/java/org/enso/interpreter/node/expression/builtin` - various classes annotated with @BuiltinType to ensure that the atom constructor is always properly registered for the builitn. Note that in order to support types fields in those, annotation takes optional `params` parameter (comma separated).
- `engine/runtime/src/bench/scala/org/enso/interpreter/bench/fixtures/semantic/AtomFixtures.scala` - drop manual creation of test list which seemed to be a relict of the old design
Implements https://www.pivotaltracker.com/story/show/181266184
### Important Notes
Changed example image download to only proceed if the file did not exist before - thus cutting on the build time (the build used to download it _every_ time - which completely failed the build if network is down). A redownload can be forced by performing a fresh repository checkout.
- Added Encoding type
- Added `Text.bytes`, `Text.from_bytes` with Encoding support
- Renamed `File.read` to `File.read_text`
- Renamed `File.write` to `File.write_text`
- Added Encoding support to `File.read_text` and `File.write_text`
- Added warnings to invalid encodings
Implements https://www.pivotaltracker.com/story/show/181805693 and finishes the basic set of features of the Aggregate component.
Still not all aggregations are supported everywhere, because for example SQLite has quite limited support for aggregations. Currently the workaround is to bring the table into memory (if possible) and perform the computation locally. Later on, we may add more complex generator features to emulate the missing aggregations with complex sub-queries.
This commit implements `Text.reverse` as an extension on `Text`.
`Text.reverse` reverses strings. For example: `"Hello World!".reverse`
results in `"!dlroW olleH"`.
Strings are reversed by their Extended Grapheme Clusters not by their
characters. This has some performance implications because we need to
find these grapheme cluster boundaries when iterating. To do so,
`BreakIterator.getCharacterInstance` is used.
Implements: https://www.pivotaltracker.com/n/projects/2539304/stories/181265419
Implements infrastructure for new aggregations in the Database. It comes with only some basic aggregations and limited error-handling. More aggregations and problem handling will be added in subsequent PRs.
# Important Notes
This introduces basic aggregations using our existing codegen and sets-up our testing infrastructure to be able to use the same aggregate tests as in-memory backend for the database backends.
Many aggregations are not yet implemented - they will be added in subsequent tasks.
There are some TODOs left - they will be addressed in the next tasks.
