Implements https://www.pivotaltracker.com/story/show/183082087
# Important Notes
- Removed unnecessary invocations of `Error.throw` improving performance of `Vector.distinct`. The time of the `add_work_days and work_days_until should be consistent with each other` test suite came down from 15s to 3s after the changes.
Resolves https://www.pivotaltracker.com/story/show/183285801
@JaroslavTulach suggested the current implementation may not handle these correctly, which suggests that the logic is not completely trivial - so I added a test to ensure that it works as we'd expect. Fortunately, it did work - but it's good to keep the tests to avoid regressions.
`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.
- Added `databases`, `database`, `set_database`.
- Added `schemas`, `schema`, `set_schema`.
- Added `table_types`,
- Added `tables`.
- Moved the vast majority of the connection work into a lower level `JDBC_Connection` object.
- `Connection` represents the standard API for database connections and provides a base JDBC implementation.
- `SQLite_Connection` has the `Connection` API but with custom `databases` and `schemas` methods for SQLite.
- `Postgres_Connection` has the `Connection` API but with custom `set_database`, `databases`, `set_schema` and `schemas` methods for Postgres.
- Updated `Redshift` - no public API change.
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.
Many aggregation types fell back to the general `Any` type where they could have used the type of input column - for example `First` of a column of integers is guaranteed to fit the `Integer` storage type, so it doesn't have to fall back to `Any`. This PR fixes that and adds a test that checks this.
- 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>
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.
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.
- 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.
- 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.
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`
@radeusgd discovered that no formatting was being applied to std-bits projects.
This was caused by the fact that `enso` project didn't aggregate them. Compilation and
packaging still worked because one relied on the output of some tasks but
```
sbt> javafmtAll
```
didn't apply it to `std-bits`.
# Important Notes
Apart from `build.sbt` no manual changes were made.
- Implements various statistics on Vector
# Important Notes
Some minor codebase improvements:
- Some tweaks to Any/Nothing to improve performance
- Fixed bug in ObjectComparator
- Added if_nothing
- Removed Group_By_Key
- Read in Excel files following the specification.
- Support for XLSX and XLS formats.
- Ability to select ranges and sheets.
- Skip Rows and Row Limits.
# Important Notes
- Minor fix to DelimitedReader for Windows
Implements https://www.pivotaltracker.com/story/show/181266184
### Important Notes
Changed example image download to only proceed if the file did not exist before - thus cutting on the build time (the build used to download it _every_ time - which completely failed the build if network is down). A redownload can be forced by performing a fresh repository checkout.
- Added Encoding type
- Added `Text.bytes`, `Text.from_bytes` with Encoding support
- Renamed `File.read` to `File.read_text`
- Renamed `File.write` to `File.write_text`
- Added Encoding support to `File.read_text` and `File.write_text`
- Added warnings to invalid encodings
Implements https://www.pivotaltracker.com/story/show/181805693 and finishes the basic set of features of the Aggregate component.
Still not all aggregations are supported everywhere, because for example SQLite has quite limited support for aggregations. Currently the workaround is to bring the table into memory (if possible) and perform the computation locally. Later on, we may add more complex generator features to emulate the missing aggregations with complex sub-queries.
