- 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
- 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
Following the Slice and Array.Copy experiment, took just the Array.Copy parts out and built into the Vector class.
This gives big performance wins in common operations:
| Test | Ref | New |
| --- | --- | --- |
| New Vector | 41.5 | 41.4 |
| Append Single | 26.6 | 4.2 |
| Append Large | 26.6 | 4.2 |
| Sum | 230.1 | 99.1 |
| Drop First 20 and Sum | 343.5 | 96.9 |
| Drop Last 20 and Sum | 311.7 | 96.9 |
| Filter | 240.2 | 92.5 |
| Filter With Index | 364.9 | 237.2 |
| Partition | 772.6 | 280.4 |
| Partition With Index | 912.3 | 427.9 |
| Each | 110.2 | 113.3 |
*Benchmarks run on an AWS EC2 r5a.xlarge with 1,000,000 item count, 100 iteration size run 10 times.*
# Important Notes
Have generally tried to push the `@Tail_Call` down from the Vector class and move to calling functions on the range class.
- Expanded benchmarks on Vector
- Added `take` method to Vector
- Added `each_with_index` method to Vector
- Added `filter_with_index` method to Vector
* 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
* Integer parse via Longs
* Integer parse via Longs
* Benchmark for Number Parse
* CHANGELOG.md and Natural Order
* Expanded test set
* Number base tests
* Few more negative tests
