- 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).
- Updated `Text.starts_with`, `Text.ends_with` and `Text.contains` to new simpler API.
- Added a `Case_Sensitivity.Default` and adjusted `Table.distinct` to use it by default.
- Fixed a bug with `Data.fetch` on an HTTP error.
- Improved SQLite Case Sensitivity control in distinct to use collations.
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.
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.
- 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)
* 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
- Add `get` to Table.
- Correct `Count Nothing` examples.
- Add `join` to File.
- Add `File_Format.all` listing all installed formats.
- Add some more ALIAS entries.
Fixes https://www.pivotaltracker.com/story/show/184073099
# Important Notes
- Since now the only operator on columns for division, `/`, returns floats, it may be worth creating an additional `div` operator exposing integer division. But that will be done as a separate task aligning column operator APIs.
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`.
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.
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.
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.
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)
`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
When integrated with CI, will guard against any compilation failures. Can be enabled via env var `ENSO_BENCHMARK_TEST_DRY_RUN="True"`:
```
ENSO_BENCHMARK_TEST_DRY_RUN="True" built-distribution/enso-engine-0.0.0-dev-linux-amd64/enso-0.0.0-dev/bin/enso --run test/Benchmarks
```
# Important Notes
/cc @mwu-tow this could be run only on linux PRs in CI
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.
Add `Test.with_clue` function similar to ScalaTest's [with_clue](https://www.scalatest.org/user_guide/using_assertions).
This is useful for tests where the assertion depends on context which is not clear from it's operands.
### Important Notes
Using with_clue changes `State Clue` which is extracted by the `fail` function.
The State is introduced by `Test.specify` when the test is not pending.
There should be no changes to the public API apart form the addition of `Test.with_clue`.
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.
* 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.
