- Fix `Excel_Workbook.sheet` and add a test.
- Add icon for `Table.row_count` and `DB_Table.row_count`.
- Make `join_kind` widget `Display.Always`.
- Add expression as an option to `Aggregate_Column`.
- Add `Simple_Calculation.Copy` to create a copy.
- Add defaults to `Simple_Expression` so less errory.
- Set period to default to day for `date_diff` allowing use in expressions.
- Add `Text_Left`, `Text_Right`, `Text_Length` and `Format` to `Simple_Expression`.
Goal of this PR is to refactor the design of OrderMask and avoid copying arrays or lists wherever possible.
We have removed a few legacy functions which were not being used.
On a poor mans benchmark seems to be quicker (13s vs 16s) and memory usage should be lower.
Adds new benchmark joining a large table to a small table in preparation for a coming optimisation that will only index the smaller of the 2 tables in #8342
Implements `Warnings.get_all wrap_errors=True` which wraps warnings attached to values inside vectors with `Map_Error`, which includes the position of the value within the vector. See [the documentation](https://github.com/enso-org/enso/blob/develop/docs/semantics/wrapped-errors.md) for more details.
`get_all wrap_errors=True` does not change the warnings that are attached to values -- it wraps them before returning them to the caller, but does not change the original warnings attached to the values.
Wrapped warnings only appear attached to the vector itself. The values inside the vector do not have their warnings wrapped.
Warning propagation is not changed at all; `Warnings.get_all` (with default `wrap_errors=False`) behaves as before. `get_all wrap_errors=True` is meant to be used primarily by the IDE, although it can be used anywhere this wrapping is desired.
* tests
* wip
* wip
* additional warnings
* wip
* wip
* cleanup
* nested wrapping
* multiple nestings
* wraps_error uses looks_for, test for should_fail_with
* wip
* stack trace line fix
* use catch_primitive internally
* fix warning mapping, dtf spec
* just one wrapper checker, vector spec
* missing ctor, back to non-primitive catch
* back to c_p
* put old map back
* wip
* unnest tests
* Array.map on_problems
* wip
* Revert "wip"
This reverts commit c30d171457.
* better test names
* warning logging
* wip
* wip
* move logic into ALH
* doc
* constant
* My_Error.Error
* nested
* doc
* map_primtiive in warning mapper
* composition
* ref spec
* Remove warnings prior to matching on the value
If an expression has warnings and is matched we:
1) extract the warnings
2) execute the branch of a pattern that matches the value
3) attach extracted warnings to the result
This caused warnings to reappear when doing the custom warnings
manipulation.
This is also consistent with how `CaseNode`'s `doWarning` specialization
is defined.
* fix 1
* do not auto unwrap in test error checkers
* nested error matcher
* in problems too
* dtf
* v
* statistics
* wip
* Table_Spec, map_with_index_primitive
* Column_Operations_Spec
* disable warning wrapping and Report_Warning
* unimpl test
* Warnings_Spec
* DCS
* ACG JP
* zip_primitive
* join_helpers
* Lookup_Helpers
* Table
* Data_Formatter
* Value_Type_Helpers
* revert check types changes
* table_helpers
* table tests
* remove st
* do not remove warnings from value
* vec docs, tests for zip, mwi, flat_map
* docs, fixes
* remove nested_error_matcher
* cleanup
* benchmark
* one error
* alter
* add bench to main
* review
* review
* review
* tail call
* changelog
* tail call was not a tail call
* ws
* bad import
* Added missing import
* Update distribution/lib/Standard/Base/0.0.0-dev/src/Data/Array.enso
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
* review, ref example
* lazy benchmark data
* extra paren
* check outside of catch
* review
* vector too
* actually lazy
* disambiguate Map_Error
* finish rename
* move to extensions
* combine Additional_Warnings error
* rename to map_no_wrap
* do not catch and rethrow
* review
* wip
* remove _primitives entirely
* remove unused should_fail_with function options
* remove expected_warning as function in Problems
---------
Co-authored-by: Hubert Plociniczak <hubert.plociniczak@gmail.com>
Co-authored-by: Radosław Waśko <radoslaw.wasko@enso.org>
With herein proposed change one can pass an optional filter to `enso --run test/Benchmarks` to execute only groups and specs that contain given string in its name.
While trying to speed `MetadataStorage` up - #8324 - I felt the need to have an independent (on my computer) measurement of startup time. Here is a benchmark that measures how long execution of two simple hello world programs take.
# Important Notes
There are two benchmarks:
- `empty_startup` measures the time needed to boot without using any `Standard` library - basically _an overhead of the JVM and engine_
- `hello_world_startup` measures the use of `IO.println` - it shall take longer than `empty_startup` and show the overhead we have while processing the standard library
Upgrade to GraalVM JDK 21.
```
> java -version
openjdk version "21" 2023-09-19
OpenJDK Runtime Environment GraalVM CE 21+35.1 (build 21+35-jvmci-23.1-b15)
OpenJDK 64-Bit Server VM GraalVM CE 21+35.1 (build 21+35-jvmci-23.1-b15, mixed mode, sharing)
```
With SDKMan, download with `sdk install java 21-graalce`.
# Important Notes
- After this PR, one can theoretically run enso with any JRE with version at least 21.
- Removed `sbt bootstrap` hack and all the other build time related hacks related to the handling of GraalVM distribution.
- `project-manager` remains backward compatible - it can open older engines with runtimes. New engines now do no longer require a separate runtime to be downloaded.
- sbt does not support compilation of `module-info.java` files in mixed projects - https://github.com/sbt/sbt/issues/3368
- Which means that we can have `module-info.java` files only for Java-only projects.
- Anyway, we need just a single `module-info.class` in the resulting `runtime.jar` fat jar.
- `runtime.jar` is assembled in `runtime-with-instruments` with a custom merge strategy (`sbt-assembly` plugin). Caching is disabled for custom merge strategies, which means that re-assembly of `runtime.jar` will be more frequent.
- Engine distribution contains multiple JAR archives (modules) in `component` directory, along with `runner/runner.jar` that is hidden inside a nested directory.
- The new entry point to the engine runner is [EngineRunnerBootLoader](https://github.com/enso-org/enso/pull/7991/files#diff-9ab172d0566c18456472aeb95c4345f47e2db3965e77e29c11694d3a9333a2aa) that contains a custom ClassLoader - to make sure that everything that does not have to be loaded from a module is loaded from `runner.jar`, which is not a module.
- The new command line for launching the engine runner is in [distribution/bin/enso](https://github.com/enso-org/enso/pull/7991/files#diff-0b66983403b2c329febc7381cd23d45871d4d555ce98dd040d4d1e879c8f3725)
- [Newest version of Frgaal](https://repo1.maven.org/maven2/org/frgaal/compiler/20.0.1/) (20.0.1) does not recognize `--source 21` option, only `--source 20`.
- Closes#5303
- Refactors `JoinStrategy` allowing us to 'stack' join strategies on top of each other (to some extent) - currently a `HashJoin` can be followed by another join strategy (currently `SortJoin`)
- Adds benchmarks for join
- Due to limitations of the sorting approach this will still not be as fast as possible for cases where there is more than 1 `Between` condition in a single query - trying to demonstrate that in benchmarks.
- We can replace sorting by d-dimensional [RangeTrees](https://en.wikipedia.org/wiki/Range_tree) to get `O((n + m) log^d n + k)` performance (where `n` and `m` are sizes of joined tables, `d` is the amount of `Between` conditions used in the query and `k` is the result set size).
- Follow up ticket for consideration later:
#8216
- Closes#8215
- After all, it turned out that `TreeSet` was problematic (because of not enough flexibility with duplicate key handling), so the simplest solution was to immediately implement this sub-task.
- Closes#8204
- Unrelated, but I ran into this here: adds type checks to other arguments of `set`.
- Before, putting in a Column as `new_name` (i.e. mistakenly messing up the order of arguments), lead to a hard to understand `Method `if_then_else` of type Column could not be found.`, instead now it would file with type error 'expected Text got Column`.
After a discussion, I was really curious that our panics are supposed to be almost free - and while trusting that statement, it was really hard to believe - so I wanted to see for myself - knowing that an experiment is the most robust source of this kind of information - testing that in practice.
So I wrote a benchmark comparing various ways of reporting errors, also testing them both at 'shallow' and 'deep' stack traces (adding 200 additional frames) - to see how stack depth affects them, if at all.
The panics are indeed blazing fast! Kudos to the engine team. However, it seems that our dataflow errors are relatively slow (and we tend to use them _more_ than panics and want to be using them more and more). This uncovers a possible optimization opportunity. Can we make them as fast as panics??
Analysis of the benchmark results in comment below.
- Follow-up of #8055
- Adds a benchmark comparing performance of Enso Map and Java HashMap in two scenarios - _only incremental_ updates (like `Vector.distinct`) and _replacing_ updates (like keeping a counter for each key). These benchmarks can be used as a metric for #8090
- Fixes#7352 by remembering original value types in type inference mode to be able to reconstruct them for Mixed.
- Added more benchmarks for comparing performance of constructing columns.
- Fixes missing implementations that caused `Table.union` crashing on some type pairs.
- Ensures that `Loss_Of_Integer_Precision` warning is not swallowed when numeric columns are unioned to create a `Float` column.
- Adds test for all of the above cases.
- Allow to output benchmark results to a CSV by setting an environment variable - useful for quickly comparing benchmarks, e.g. in Enso.
* Transform Range.iterate test to a benchmark
a) it slows down regular unit testing
b) it is not a unit test
c) it behaves like a benchmark
So it should be a benchmark.
* missing Range import
- Closes#6111
- Aligns semantics of handling Mixed columns.
- Now, if an operation like `iif` or `fill_nothing` is given a `Mixed` column, the result will also be `Mixed` regardless of the `inferred_precise_value_type`.
- Enables a few old tests that were pending but could be enabled since the types work is advanced enough.
- Closes#5159
- Now data downloaded from the database can keep the type much closer to the original type (like string length limits or smaller integer types).
- Cast also exposes these types.
- The integers are still all stored as 64-bit Java `long`s, we just check their bounds. Changing underlying storage for memory efficiency may come in the future: #6109
- Fixes#7565
- Fixes#7529 by checking for arithmetic overflow in in-memory integer arithmetic operations that could overflow. Adds a documentation note saying that the behaviour for Database backends is unspecified and depends on particular database.
# Important Notes
#### The Plot
- there used to be two kinds of benchmarks: in Java and in Enso
- those in Java got quite a good treatment
- there even are results updated daily: https://enso-org.github.io/engine-benchmark-results/
- the benchmarks written in Enso used to be 2nd class citizen
#### The Revelation
This PR has the potential to fix it all!
- It designs new [Bench API](88fd6fb988) ready for non-batch execution
- It allows for _single benchmark in a dedicated JVM_ execution
- It provides a simple way to wrap such an Enso benchmark as a Java benchmark
- thus the results of Enso and Java benchmarks are [now unified](https://github.com/enso-org/enso/pull/7101#discussion_r1257504440)
Long live _single benchmarking infrastructure for Java and Enso_!
Designing new `Bench` API to _collect benchmarks_ first and only execute them then. This is a minimal change to allow implementation of #7323 - e.g. ability to invoke a _single benchmark_ via JMH harness.
# Important Notes
This is just the basic API skeleton. It can be enhanced, if the basic properties (allowing integration with JMH) are kept. It is not intent of this PR to make the API 100% perfect and usable. Neither it is goal of this PR to update existing benchmarks to use it (74ac8d7 changes only one of them to demonstrate _it all works_ somehow). It is however expected that once this PR is integrated, the newly written benchmarks (like the ones from #7270) are going to use (or even enhance) the new API.
close#6611
Changelog:
- update: run compiler passes on the `ascribedType` field of the constructor arguments
- update: suggestion builder uses the type information attached to `ascribedType`
- feat: resolve qualified names in type signatures
`Vector.sort` does some custom method dispatch logic which always expected a function as `by` and `on` arguments. At the same time, `UnresolvedSymbol` is treated like a (to be resolved) `Function` and under normal circumstances there would be no difference between `_.foo` and `.foo` provided as arguments.
Rather than adding an additional phase that does some form of eta-expansion, to accomodate for this custom dispatch, this change only fixes the problem locally. We accept `Function` and `UnresolvedSymbol` and perform the resolution on the fly. Ideally, we would have a specialization on the latter but again, it would be dependent on the contents of the `Vector` so unclear if that is better.
Closes#6276,
# Important Notes
There was a suggestion to somehow modify our codegen to accomodate for this scenario but I went against it. In fact a lot of name literals have `isMethod` flag and that information is used in the passes but it should not control how (late) codegen is done. If we were to make this more generic, I would suggest maybe to add separate eta-expansion pass. But it could affect other things and could be potentially a significant change with limited potential initially, so potential future work item.
Exporting types named the same as the module where they are defined in `Main` modules of library components may lead to accidental name conflicts. This became apparent when trying to access `Problem_Behavior` module via a fully qualified name and the compiler rejected it. This is due to the fact that `Main` module exported `Error` type defined in `Standard.Base.Error` module, thus making it impossible to access any other submodules of `Standard.Base.Error` via a fully qualified name.
This change adds a warning to FullyQualifiedNames pass that detects any such future problems.
While only `Error` module was affected, it was widely used in the stdlib, hence the number of changes.
Closes#5902.
# Important Notes
I left out the potential conflict in micro-distribution, thus ensuring we actually detect and report the warning.
Merge _ordered_ and _unordered_ comparators into a single one.
# Important Notes
Comparator is now required to have only `compare` method:
```
type Comparator
comapre : T -> T -> (Ordering|Nothing)
hash : T -> Integer
```
- Updated `Widget.Vector_Editor` ready for use by IDE team.
- Added `get` to `Row` to make API more aligned.
- Added `first_column`, `second_column` and `last_column` to `Table` APIs.
- Adjusted `Column_Selector` and associated methods to have simpler API.
- Removed `Column` from `Aggregate_Column` constructors.
- Added new `Excel_Workbook` type and added to `Excel_Section`.
- Added new `SQLiteFormatSPI` and `SQLite_Format`.
- Added new `IamgeFormatSPI` and `Image_Format`.
Add `Comparator` type class emulation for all types. Migrate all the types in stdlib to this new `Comparator` API. The main documentation is in `Ordering.enso`.
Fixes these pivotals:
- https://www.pivotaltracker.com/story/show/183945328
- https://www.pivotaltracker.com/story/show/183958734
- https://www.pivotaltracker.com/story/show/184380208
# Important Notes
- The new Comparator API forces users to specify both `equals` and `hash` methods on their custom comparators.
- All the `compare_to` overrides were replaced by definition of a custom _ordered_ comparator.
- All the call sites of `x.compare_to y` method were replaced with `Ordering.compare x y`.
- `Ordering.compare` is essentially a shortcut for `Comparable.from x . compare x y`.
- The default comparator for `Any` is `Default_Unordered_Comparator`, which just forwards to the builtin `EqualsNode` and `HashCodeNode` nodes.
- For `x`, one can get its hash with `Comparable.from x . hash x`.
- This makes `hash` as _hidden_ as possible. There are no other public methods to get a hash code of an object.
- Comparing `x` and `y` can be done either by `Ordering.compare x y` or `Comparable.from x . compare x y` instead of `x.compare_to y`.
- 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.
* 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
