This is the first part of the #5158 umbrella task. It closes#5158, follow-up tasks are listed as a comment in the issue.
- Updates all prototype methods dealing with `Value_Type` with a proper implementation.
- Adds a more precise mapping from in-memory storage to `Value_Type`.
- Adds a dialect-dependent mapping between `SQL_Type` and `Value_Type`.
- Removes obsolete methods and constants on `SQL_Type` that were not portable.
- Ensures that in the Database backend, operation results are computed based on what the Database is meaning to return (by asking the Database about expected types of each operation).
- But also ensures that the result types are sane.
- While SQLite does not officially support a BOOLEAN affinity, we add a set of type overrides to our operations to ensure that Boolean operations will return Boolean values and will not be changed to integers as SQLite would suggest.
- Some methods in SQLite fallback to a NUMERIC affinity unnecessarily, so stuff like `max(text, text)` will keep the `text` type instead of falling back to numeric as SQLite would suggest.
- Adds ability to use custom fetch / builder logic for various types, so that we can support vendor specific types (for example, Postgres dates).
# Important Notes
- There are some TODOs left in the code. I'm still aligning follow-up tasks - once done I will try to add references to relevant tasks in them.
- Fixes InvokeCallableNode to support warnings.
- Strips warnings from annotations in `get_widget_json`.
- Remove `get_full_annotations_json`.
- Fix warnings on Dialect.
Removing special handling of `AtomConstructor` in `Meta.is_a` check.
# Important Notes
A lot of tests are about to fail. Many of them indirectly call `Meta.is_a` with a constructor rather than type.
- 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).
Implements [#183453466](https://www.pivotaltracker.com/story/show/183453466).
https://user-images.githubusercontent.com/1428930/203870063-dd9c3941-ce79-4ce9-a772-a2014e900b20.mp4
# Important Notes
* the best laziness is used for `Text` type, which makes use of its internal representation to send data
* any type will first compute its default string representation and then send the content of that lazy to the IDE
* special handling of files and their content will be implemented in the future
* size of the displayed text can be updated dynamically based on best effort information: if the backend does not yet know the full width/height of the text, it can update the IDE at any time and this will be handled gracefully by updating the scrollbar position and sizes.
* 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
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.
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.
- 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.
# 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.
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.
- Removed `Dubious constructor export` from Examples, Geo, Google_Api, Image and Test.
- Updated Google_Api project to meet newer code standards.
- Restructured `Standard.Test`:
- `Main.enso` now exports `Bench`, `Faker`, `Problems`, `Test`, `Test_Suite`
- `Test.Suite` methods moved into a `Test_Suite` type.
- Moved `Bench.measure` into `Bench` type.
- Separated the reporting to a `Test_Reporter` module.
- Moved `Faker` methods into `Faker` type.
- Removed `Verbs` and `.should` method.
- Added `should_start_with` and `should_contain` extensions to `Any`.
- Restructured `Standard.Image`:
- Merged Codecs methods into `Image`.
- Export `Image`, `Read_Flag`, `Write_Flag` and `Matrix` as types from `Main.enso`.
- Merged the internal methods into `Matrix` and `Image`.
- Fixed `Day_Of_Week` to be exported as a type and sort the `from` method.
- Moved `Standard.Database.connect` into `Standard.Database.Database.connect`, so can now just `from Standard.Database import ...`.
- Removed all `Dubious constructor export`s.
- Switched to using `project` for internal imports.
- Moved to using `Value` for private constructors and not re-exporting.
- Export types not modules from `Standard.Database`.
- Broke up `IR` into separate files (Context, Expression, From_Spec, Internal_Column, Join_Kind, Query).
- No longer use `IR.` instead via specific types.
- Broke up `SQL` into separate files (SQL_Type and SQL_Statement).
Additionally;
- Standard.Table: Moved `storage_types` into `Storage`.
- Standard.Table: Switched to using `project` for internal imports.
- Standard.Table.Excel: Renamed modules `Range` to `Excel_Range` and `Section` to `Excel_Section`.
- `Standard.Visualisation`: Switched to using `project` for internal imports.
- `Standard.Visualisation`: Moved to using `Value` for private constructors and not re-exporting.
# Important Notes
- Have not cleared up the `Errors` yet.
- Have not switched to type pattern matching.
- Generally export types not modules from the `Standard.Table` import.
- Moved `new`, `from_rows` the `Standard.Table` library into the `Table` type.
- Renames `Standard.Table.Data.Storage.Type` to `Standard.Table.Data.Storage.Storage`
- Removed the internal `from_columns` method.
- Removed `join` and `concat` and merged into instance methods.
- Removed `Table` and `Column` from the `Standard.Database` exports.
- Removed `Standard.Table.Data.Column.Aggregate_Column` as not used any more.
Makes statics static. A type and its instances have different methods defined on them, as it should be. Constructors are now scoped in types, and can be imported/exported.
# Important Notes
The method of fixing stdlib chosen here is to just not. All the conses are exported to make all old code work. All such instances are marked with `TODO Dubious constructor export` so that it can be found and fixed.
Repairing the constructor name following the types work. Some general tiding up as well.
- Remove `Standard.Database.Data.Column.Aggregate_Column_Builder`.
- Remove `Standard.Database.Data.Dialect.Dialect.Dialect_Data`.
- Remove unused imports and update some type definitions.
- Rename `Postgres.Postgres_Data` => `Postgres_Options.Postgres`.
- Rename `Redshift.Redshift_Data` => `Redshift_Options.Redshift`.
- Rename `SQLite.SQLite_Data` => `SQLite_Options.SQLite`.
- Rename `Credentials.Credentials_Data` => `Credentials.Username_And_Password`.
- Rename `Sql` to `SQL` across the board.
- Merge `Standard.Database.Data.Internal` into `Standard.Database.Internal`.
- Move dialects into `Internal` and merge the function in `Helpers` into `Base_Generator`.
Turns that if you import a two-part import we had special code that would a) add Main submodule b) add an explicit rename.
b) is problematic because sometimes we only want to import specific names.
E.g.,
```
from Bar.Foo import Bar, Baz
```
would be translated to
```
from Bar.Foo.Main as Foo import Bar, Baz
```
and it should only be translated to
```
from Bar.Foo.Main import Bar, Baz
```
This change detects this scenario and does not add renames in that case.
Fixes [183276486](https://www.pivotaltracker.com/story/show/183276486).
Changes following Marcin's work. Should be back to very similar public API as before.
- Add an "interface" type: `Standard.Base.System.File_Format.File_Format`.
- All `File_Format` types now have a `can_read` method to decide if they can read a file.
- Move `Standard.Table.IO.File_Format.Text.Text_Data` to `Standard.Base.System.File_Format.Plain_Text_Format.Plain_Text`.
- Move `Standard.Table.IO.File_Format.Bytes` to `Standard.Base.System.File_Format.Bytes`.
- Move `Standard.Table.IO.File_Format.Infer` to `Standard.Base.System.File_Format.Infer`. **(doesn't belong here...)**
- Move `Standard.Table.IO.File_Format.Unsupported_File_Type` to `Standard.Base.Error.Common.Unsupported_File_Type`.
- Add `Infer`, `File_Format`, `Bytes`, `Plain_Text`, `Plain_Text_Format` to `Standard.Base` exports.
- Fold extension methods of `Standard.Base.Meta.Unresolved_Symbol` into type.
- Move `Standard.Table.IO.File_Format.Auto` to `Standard.Table.IO.Auto_Detect.Auto_Detect`.
- Added a `types` Vector of all the built in formats.
- `Auto_Detect` asks each type if they `can_read` a file.
- Broke up and moved `Standard.Table.IO.Excel` into `Standard.Table.Excel`:
- Moved `Standard.Table.IO.File_Format.Excel.Excel_Data` to `Standard.Table.Excel.Excel_Format.Excel_Format.Excel`.
- Renamed `Sheet` to `Worksheet`.
- Internal types `Reader` and `Writer` providing the actual read and write methods.
- Created `Standard.Table.Delimited` with similar structure to `Standard.Table.Excel`:
- Moved `Standard.Table.IO.File_Format.Delimited.Delimited_Data` to `Standard.Table.Delimited.Delimited_Format.Delimited_Format.Delimited`.
- Moved `Standard.Table.IO.Quote_Style` to `Standard.Table.Delimited.Quote_Style`.
- Moved the `Reader` and `Writer` internal types into here. Renamed methods to have unique names.
- Add `Aggregate_Column`, `Auto_Detect`, `Delimited`, `Delimited_Format`, `Excel`, `Excel_Format`, `Sheet_Names`, `Range_Names`, `Worksheet` and `Cell_Range` to `Standard.Table` exports.
`Vector` type is now a builtin type. This requires a bunch of additional builtin methods for its creation:
- Use `Vector.from_array` to convert any array-like structure into a `Vector` [by copy](f628b28f5f)
- Use (already existing) `Vector.from_polyglot_array` to convert any array-like structure into a `Vector` **without** copying
- Use (already existing) `Vector.fill 1 item` to create a singleton `Vector`
Additional, for pattern matching purposes, we had to implement a `VectorBranchNode`. Use following to match on `x` being an instance of `Vector` type:
```
import Standard.Base.Data.Vector
size = case x of
Vector.Vector -> x.length
_ -> 0
```
Finally, `VectorLiterals` pass that transforms `[1,2,3]` to (roughly)
```
a1 = 1
a2 = 2
a3 = 3
Vector (Array (a1,a2, a3))
```
had to be modified to generate
```
a1 = 1
a2 = 2
a3 = 3
Vector.from_array (Array (a1, a2, a3))
```
instead to accomodate to the API changes. As of 025acaa676 all the known CI checks passes. Let's start the review.
# Important Notes
Matching in `case` statement is currently done via `Vector_Data`. Use:
```
case x of
Vector.Vector_Data -> True
```
until a better alternative is found.
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.
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.
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.
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.
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.
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.
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.
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
