- 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.
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`
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
- 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.
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
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.
* 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
* 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>
* 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
