Implements https://www.pivotaltracker.com/story/show/182307143
# Important Notes
- Modified standard library Java helpers dependencies so that `std-table` module depends on `std-base`, as a provided dependency. This is allowed, because `std-table` is used by the `Standard.Table` Enso module which depends on `Standard.Base` which ensures that the `std-base` is loaded onto the classpath, thus whenever `std-table` is loaded by `Standard.Table`, so is `std-base`. Thus we can rely on classes from `std-base` and its dependencies being _provided_ on the classpath. Thanks to that we can use utilities like `Text_Utils` also in `std-table`, avoiding code duplication. Additional advantage of that is that we don't need to specify ICU4J as a separate dependency for `std-table`, since it is 'taken' from `std-base` already - so we avoid including it in our build packages twice.
This is a step towards the new language spec. The `type` keyword now means something. So we now have
```
type Maybe a
Some (from_some : a)
None
```
as a thing one may write. Also `Some` and `None` are not standalone types now – only `Maybe` is.
This halfway to static methods – we still allow for things like `Number + Number` for backwards compatibility. It will disappear in the next PR.
The concept of a type is now used for method dispatch – with great impact on interpreter code density.
Some APIs in the STDLIB may require re-thinking. I take this is going to be up to the libraries team – some choices are not as good with a semantically different language. I've strived to update stdlib with minimal changes – to make sure it still works as it did.
It is worth mentioning the conflicting constructor name convention I've used: if `Foo` only has one constructor, previously named `Foo`, we now have:
```
type Foo
Foo_Data f1 f2 f3
```
This is now necessary, because we still don't have proper statics. When they arrive, this can be changed (quite easily, with SED) to use them, and figure out the actual convention then.
I have also reworked large parts of the builtins system, because it did not work at all with the new concepts.
It also exposes the type variants in SuggestionBuilder, that was the original tiny PR this was based on.
PS I'm so sorry for the size of this. No idea how this could have been smaller. It's a breaking language change after all.
- Added `Zone`, `Date_Time` and `Time_Of_Day` to `Standard.Base`.
- Renamed `Zone` to `Time_Zone`.
- Added `century`.
- Added `is_leap_year`.
- Added `length_of_year`.
- Added `length_of_month`.
- Added `quarter`.
- Added `day_of_year`.
- Added `Day_Of_Week` type and `day_of_week` function.
- Updated `week_of_year` to support ISO.
# Important Notes
- Had to pass locale to formatter for date/time tests to work on my PC.
- Changed default of `week_of_year` to use ISO.
Implements https://www.pivotaltracker.com/story/show/182879865
# Important Notes
Note that removing `set_at` still does not make our arrays fully immutable - `Array.copy` can still be used to mutate them.
* Builtin Date_Time, Time_Of_Day, Zone
Improved polyglot support for Date_Time (formerly Time), Time_Of_Day and
Zone. This follows the pattern introduced for Enso Date.
Minor caveat - in tests for Date, had to bend a lot for JS Date to pass.
This is because JS Date is not really only a Date, but also a Time and
Timezone, previously we just didn't consider the latter.
Also, JS Date does not deal well with setting timezones so the trick I
used is to first call foreign function returning a polyglot JS Date,
which is converted to ZonedDateTime and only then set the correct
timezone. That way none of the existing tests had to be changes or
special cased.
Additionally, JS deals with milliseconds rather than nanoseconds so
there is loss in precision, as noted in Time_Spec.
* Add tests for Java's LocalTime
* changelog
* Make date formatters in table happy
* PR review, add more tests for zone
* More tests and fixed a bug in column reader
Column reader didn't take into account timezone but that was a mistake
since then it wouldn't map to Enso's Date_Time.
Added tests that check it now.
* remove redundant conversion
* Update distribution/lib/Standard/Base/0.0.0-dev/src/Data/Time.enso
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
* First round of addressing PR review
* don't leak java exceptions in Zone
* Move Date_Time to top-level module
* PR review
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
Co-authored-by: Jaroslav Tulach <jaroslav.tulach@enso.org>
Use Proxy_Polyglot_Array as a proxy for polyglot arrays, thus unifying
the way the underlying array is accessed in Vector.
Used the opportunity to cleanup builtin lookup, which now actually
respects what is defined in the body of @Builtin_Method annotation.
Also discovered that polyglot null values (in JS, Python and R) were leaking to Enso.
Fixed that by doing explicit translation to `Nothing`.
https://www.pivotaltracker.com/story/show/181123986
First of all this PR demonstrates how to implement _lazy visualization_:
- one needs to write/enhance Enso visualization libraries - this PR adds two optional parameters (`bounds` and `limit`) to `process_to_json_text` function.
- the `process_to_json_text` can be tested by standard Enso test harness which this PR also does
- then one has to modify JavaScript on the IDE side to construct `setPreprocessor` expression using the optional parameters
The idea of _scatter plot lazy visualization_ is to limit the amount of points the IDE requests. Initially the limit is set to `limit=1024`. The `Scatter_Plot.enso` then processes the data and selects/generates the `limit` subset. Right now it includes `min`, `max` in both `x`, `y` axis plus randomly chosen points up to the `limit`.
The D3 visualization widget is capable of _zooming in_. When that happens the JavaScript widget composes new expression with `bounds` set to the newly visible area. By calling `setPreprocessor` the engine recomputes the visualization data, filters out any data outside of the `bounds` and selects another `limit` points from the new data. The IDE visualization then updates itself to display these more detailed data. Users can zoom-in to see the smallest detail where the number of points gets bellow `limit` or they can select _Fit all_ to see all the data without any `bounds`.
# Important Notes
Randomly selecting `limit` samples from the dataset may be misleading. Probably implementing _k-means clustering_ (where `k=limit`) would generate more representative approximation.
- Removed various unnecessary `Standard.Base` imports still left behind.
- Added `Regex` to default `Standard.Base`.
- Removed aliasing from the examples as no longer needed (case coercion no long occurs).
- Remove `import Standard.Table` from within the Table library (directly importing types).
- Reviewed what was in `Standard.Database` - a few tweaks and removals.
- Removed various un-needed aliasing following Hubert's import work.
This change adds support for matching on constants by:
1) extending parser to allow literals in patterns
2) generate branch node for literals
Related to https://www.pivotaltracker.com/story/show/182743559
Show custom icons in Component Browser for entries that have a non-empty `Icon` section in their docs with the section's body containing a name of a predefined icon.
https://www.pivotaltracker.com/story/show/182584336
#### Visuals
A screenshot of a couple custom icons in the Component Browser:
<img width="346" alt="Screenshot 2022-07-27 at 15 55 33" src="https://user-images.githubusercontent.com/273837/181265249-d57f861f-8095-4933-9ef6-e62644e11da3.png">
# Important Notes
- The PR assigns icon names to four items in the standard library, but only three of them are shown in the Component Browser because of [a parsing bug in the Engine](https://www.pivotaltracker.com/story/show/182781673).
- Icon names are assigned only to four items in the standard library because only two currently predefined icons match entries in the currently defined Virtual Component Groups. Adjusting the definitions of icons and Virtual Component Groups is covered by [a different task](https://www.pivotaltracker.com/story/show/182584311).
- A bug in the documentation of the Enso protocol message `DocSection` is fixed. A `text` field in the `Tag` interface is renamed to `body` (this is the field name used in Engine).
This change allows for importing modules using a qualified name and deals with any conflicts on the way.
Given a module C defined at `A/B/C.enso` with
```
type C
type C a
```
it is now possible to import it as
```
import project.A
...
val x = A.B.C 10
```
Given a module located at `A/B/C/D.enso`, we will generate
intermediate, synthetic, modules that only import and export the successor module along the path.
For example, the contents of a synthetic module B will look like
```
import <namespace>.<pkg-name>.A.B.C
export <namespace>.<pkg-name>.A.B.C
```
If module B is defined already by the developer, the compiler will _inject_ the above statements to the IR.
Also removed the last elements of some lowercase name resolution that managed to survive recent
changes (`Meta.Enso_Project` would now be ambiguous with `enso_project` method).
Finally, added a pass that detects shadowing of the synthetic module by the type defined along the path.
We print a warning in such a situation.
Related to https://www.pivotaltracker.com/n/projects/2539304
# Important Notes
There was an additional request to fix the annoying problem with `from` imports that would always bring
the module into the scope. The changes in stdlib demonstrate how it is now possible to avoid the workaround of
```
from X.Y.Z as Z_Module import A, B
```
(i.e. `as Z_Module` part is almost always unnecessary).
This change modifies the current language by requiring explicit `self` parameter declaration
for methods. Methods without `self` parameter in the first position should be treated as statics
although that is not yet part of this PR. We add an implicit self to all methods
This obviously required updating the whole stdlib and its components, tests etc but the change
is pretty straightforward in the diff.
Notice that this change **does not** change method dispatch, which was removed in the last changes.
This was done on purpose to simplify the implementation for now. We will likely still remove all
those implicit selfs to bring true statics.
Minor caveat - since `main` doesn't actually need self, already removed that which simplified
a lot of code.
Adds least squares regression APIs. Covers the basic 4 trend line types from Excel (doesn't cover Polynomial or Moving Average).
Removes the old `Model` from the `Standard.Table`.
Significantly improves the polyglot Date support (as introduced by #3374). It enhances the `Date_Spec` to run it in four flavors:
- with Enso Date (as of now)
- with JavaScript Date
- with JavaScript Date wrapped in (JavaScript) array
- with Java LocalDate allocated directly
The code is then improved by necessary modifications to make the `Date_Spec` pass.
# Important Notes
James has requested in [#181755990](https://www.pivotaltracker.com/n/projects/2539304/stories/181755990) - e.g. _Review and improve InMemory Table support for Dates, Times, DateTimes, BigIntegers_ the following program to work:
```
foreign js dateArr = """
return [1, new Date(), 7]
main =
IO.println <| (dateArr.at 1).week_of_year
```
the program works with here in provided changes and prints `27` as of today.
@jdunkerley has provided tests for proper behavior of date in `Table` and `Column`. Those tests are working as of [f16d07e](f16d07e640). One just needs to accept `List<Value>` and then query `Value` for `isDate()` when needed.
Last round of changes is related to **exception handling**. 8b686b12bd makes sure `makePolyglotError` accepts only polyglot values. Then it wraps plain Java exceptions into `WrapPlainException` with `has_type` method - 60da5e70ed - the remaining changes in the PR are only trying to get all tests working in the new setup.
The support for `Time` isn't part of this PR yet.
Updates `write_bytes` API to be part of `Vector` and to conform to `write` APIs.
# Important Notes
Ensures doesn't touch the file if an invalid byte array.
Add some additional scenarios to Excel append tests:
- Non-A1 start
- Name duplication
- Hitting another range
# Important Notes
Also fixed a warning in the Image library.
Updated the SQLite, PostgreSQL and Redshift drivers.
# Important Notes
Updated the API for Redshift and proved able to connect without the ini file workaround.
More and more often I need a way to only recover a specific type of a dataflow error (in a similar manner as with panics). So the API for `Error.catch` has been amended to more closely resemble `Panic.catch`, allowing to handle only specific types of dataflow errors, passing others through unchanged. The default is `Any`, meaning all errors are caught by default, and the behaviour of `x.catch` remains unchanged.
Modified UppercaseNames to now resolve methods without an explicit `here` to point to the current module.
`here` was also often used instead of `self` which was allowed by the compiler.
Therefore UppercaseNames pass is now GlobalNames and does some extra work -
it translated method calls without an explicit target into proper applications.
# Important Notes
There was a long-standing bug in scopes usage when compiling standalone expressions.
This resulted in AliasAnalysis generating incorrect graphs and manifested itself only in unit tests
and when running `eval`, thus being a bit hard to locate.
See `runExpression` for details.
Additionally, method name resolution is now case-sensitive.
Obsolete passes like UndefinedVariables and ModuleThisToHere were removed. All tests have been adapted.
Adds support for appending to an existing Excel table.
# Important Notes
- Renamed `Column_Mapping` to `Column_Name_Mapping`
- Changed new type name to `Map_Column`
- Added last modified time and creation time to `File`.
Initial work restructuring the `Database.connect` API
- New SQLite API with support for InMemory.
- Updated PostgreSQL API with SSL and Client Certificate Support.
- Updated Redshift API.
# Important Notes
Follow up tasks:
- PostgreSQL SSL additional testing.
- Driver version updating.
- `.pgpass` support.
This PR adds sources for Enso language support in IGV (and NetBeans). The support is based on TextMate grammar shown in the editor and registration of the Enso language so IGV can find it. Then this PR adds new GitHub Actions workflow file to build the project using Maven.
- 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.
- 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`
Promoted `with`, `take`, `finalize` to be methods of Managed_Resource
rather than static methods always taking `resource`, for consistency
reasons.
This required function dispatch boilerplate, similarly to `Ref`.
In future iterations we will address this boilerplate code.
Related to https://www.pivotaltracker.com/story/show/182212217
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
In order to analyse why the `runner.jar` is slow to start, let's _"self sample"_ it using the [sampler library](https://bits.netbeans.org/dev/javadoc/org-netbeans-modules-sampler/org/netbeans/modules/sampler/Sampler.html). As soon as the `Main.main` is launched, the sampling starts and once the server is up, it writes its data into `/tmp/language-server.npss`.
Open the `/tmp/language-server.npss` with [VisualVM](https://visualvm.github.io) - you should have one copy in your
GraalVM `bin/jvisualvm` directory and there has to be a GraalVM to run Enso.
#### Changelog
- add: the `MethodsSampler` that gathers information in `.npss` format
- add: `--profiling` flag that enables the sampler
- add: language server processes the updates in batches
- 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
* Initial integration with Frgaal in sbt
Half-working since it chokes on generated classes from annotation
processor.
* Replace AutoService with ServiceProvider
For reasons unknown AutoService would fail to initialize and fail to
generate required builtin method classes.
Hidden error message is not particularly revealing on the reason for
that:
```
[error] error: Bad service configuration file, or exception thrown while constructing Processor object: javax.annotation.processing.Processor: Provider com.google.auto.service.processor.AutoServiceProcessor could not be instantiated
```
The sample records is only to demonstrate that we can now use newer Java
features.
* Cleanup + fix benchmark compilation
Bench requires jmh classes which are not available because we obviously
had to limit `java.base` modules to get Frgaal to work nicely.
For now, we default to good ol' javac for Benchmarks.
Limiting Frgaal to runtime for now, if it plays nicely, we can expand it
to other projects.
* Update CHANGELOG
* Remove dummy record class
* Update licenses
* New line
* PR review
* Update legal review
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
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
Changelog:
- add: component groups to package descriptions
- add: `executionContext/getComponentGroups` method that returns component groups of libraries that are currently loaded
- doc: cleanup unimplemented undo/redo commands
- refactor: internal component groups datatype
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.
- Make it easier to understand the computations.
- Fix issue with First.
- Improve quote handling in Concatenate
- Added validation and warnings to input
- Added Minimum, Maximum, Longest. Shortest, Mode, Percentile
- Added first and last to Map
- Restructured Faker type more inline with FakerJS
- Created 2,500 row data set
- Tests for group_by
- Performance tests for group_by
Following the Slice and Array.Copy experiment, took just the Array.Copy parts out and built into the Vector class.
This gives big performance wins in common operations:
| Test | Ref | New |
| --- | --- | --- |
| New Vector | 41.5 | 41.4 |
| Append Single | 26.6 | 4.2 |
| Append Large | 26.6 | 4.2 |
| Sum | 230.1 | 99.1 |
| Drop First 20 and Sum | 343.5 | 96.9 |
| Drop Last 20 and Sum | 311.7 | 96.9 |
| Filter | 240.2 | 92.5 |
| Filter With Index | 364.9 | 237.2 |
| Partition | 772.6 | 280.4 |
| Partition With Index | 912.3 | 427.9 |
| Each | 110.2 | 113.3 |
*Benchmarks run on an AWS EC2 r5a.xlarge with 1,000,000 item count, 100 iteration size run 10 times.*
# Important Notes
Have generally tried to push the `@Tail_Call` down from the Vector class and move to calling functions on the range class.
- Expanded benchmarks on Vector
- Added `take` method to Vector
- Added `each_with_index` method to Vector
- Added `filter_with_index` method to Vector
Functioning group_by based of Enso Map.
# Important Notes
This is an initial version which will be used to establish the API.
The grouping map will need to be moved to Java code for performance.
* Move to_upper_case and to_lower_case into to_case
* Add an export, not sure about it
* Implement title case
TODO: some more tests would be good
* Add more tests
* explain title case
* fix todo
* changelog
Implementation of the Text take and drop APIs
- Added `Range.contains` function
- Added `Text_Sub_Range` type
- Added `Text_Utils.index_of` and `Text_Utils.last_index_of` based on ICU StringSearcher
* Add matching mode definitions
* Add stub for new method API and an initial test suite
* Fix tests, implement exact matching
* Implement Regex matching
* changelog
* Add benchmarks
* Wokraround for case insensitive regex locale support
* minor tweaks
* Unify Case_Insensitive
* Update edge cases
* Fix other affected places
* minor style change
* Add a problematic test
* Add a regex test for a similar situation
* Migrate to StringSearch:wq
* Add test cases for scharfes S edge case
* Add problematic Regex Unicode normalization test
* Document the regex accents peculiarity
* Do not apply the normalization in ASCII only mode
* cr
* Integer parse via Longs
* Integer parse via Longs
* Benchmark for Number Parse
* CHANGELOG.md and Natural Order
* Expanded test set
* Number base tests
* Few more negative tests
* Implement Natural_Order and sort_columns
* Starting on Rename
Align Column_Mapping
Add By_Position
Separating off the validation for By_Index so can reuse for rename
By_Position implemented
By_Index implemented
Adjusted behaviour following discussion with Ned, so that renames dominate untouched columns.
Moving to validation style checks for problems
Putting accumulator back
Rename work
* Add Range.find
* More work
* Regex support
Tidy of Unique Name Strategy
* Fix Regex support
* Warning messages
Tests for Unique Naming Strategy
Table rename working
* Database Table rename_columns
Fix for Table
**Must follow up on slice**
* Some tests
* More tests
* Complete test set
(and associated fixes)
* Functional use_first_row_as_names
Tests to go...
* Test for use_first_row_as_names
* Change log
* trailing space
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
* Implement conversions
start wip branch for conversion methods for collaborating with marcin
add conversions to MethodDispatchLibrary (wip)
start MethodDispatchLibrary implementations
conversions for atoms and functions
Implement a bunch of missing conversion lookups
final bug fixes for merged methoddispatchlibrary implementations
UnresolvedConversion.resolveFor
progress on invokeConversion
start extracting constructors (still not working)
fix a bug
add some initial conversion tests
fix a bug in qualified name resolution, test conversions accross modules
implement error reporting, discover a ton of ignored errors...
start fixing errors that we exposed in the standard library
fix remaining standard lib type errors not caused by the inability to parse type signatures for operators
TODO: fix type signatures for operators. all of them are broken
fix type signature parsing for operators
test cases for meta & polyglot
play nice with polyglot
start pretending unresolved conversions are unresolved symbols
treat UnresolvedConversons as UnresolvedSymbols in enso user land
* update RELEASES.md
* disable test error about from conversions being tail calls. (pivotal issue #181113110)
* add changelog entry
* fix OverloadsResolutionTest
* fix MethodDefinitionsTest
* fix DataflowAnalysisTest
* the field name for a from conversion must be 'that'. Fix remaining tests that aren't ExpressionUpdates vs. ExecutionUpdate behavioral changes
* fix ModuleThisToHereTest
* feat: suppress compilation errors from Builtins
* Revert "feat: suppress compilation errors from Builtins"
This reverts commit 63d069bd4f.
* fix tests
* fix: formatting
Co-authored-by: Dmitry Bushev <bushevdv@gmail.com>
Co-authored-by: Marcin Kostrzewa <marckostrzewa@gmail.com>
* Utility for mapping errors and warnings
* Imlpement By_Index
* Expose select_columns in InMem and DB. Need testing
* checkpoint: writing tests
* Fix minor issues, mock warning mapping for testing purposes
* Improve By_Index error handling
* A helper for testing problem handling
* More error handling
* docs
* changelog
* Fix matching test
* Add SQLite tests
* cleanup after test
* Rework problem handling
* small refactor
* add examples
* Add more test cases for regex matching
* Fix Regex.Patter.matches to match full string
* "Fix" tests
* Moving distinct to Map
* Mixed Type Comparable Wrapper
* Missing Bracket
Still an issue with `Integer` in the mixed vector test
* PR comments
* Use naive approach for mixed types
* Enable pending test
* Performance timing function
* Handle incomparable types cleanly
* Tidy up the time_execution function
* PR comments.
* Change log
* add chars
* tag fixes
* tag fixes
* IMPORTANT : Removal of '#' because of scala parser breaking the doc string. To be reverted in the future.
* Remove links (TO BE READDED)
* back
* le petit refacteur
* fix
* fix
add: missing to_json conversions
fix: NPE in instrumentation
fix: EditFileCmd scheduling
fix: send visualization errors to the text endpoint
fix: preserve original location in the VectorLiterals pass
Related to #1153, implements the first part of the integration, without the
parts that use the runner which will be done next.
Temporarily there are two logger implementations - this will be alleviated with
the next part - when and the direct classpath dependency on the language server
is removed.
1. This commit adds an extensive library for parsing commandline
arguments and formatting output.
2. It implements the expected CLI for the launcher.
3. It turns off parallel execution on the CI in hopes of making it
more stable.
4. It implements plugin support in the launcher.
