GeezerVison

fix: make binningUdf/maxBins optional in hasNumberOfDistinctValues/ha…

…sHistogramValues (#81) (#274)

* fix: make binningUdf and maxBins optional in distinct/histogram checks

hasNumberOfDistinctValues and hasHistogramValues forced callers to pass
binningUdf and maxBins, although Deequ's Scala API marks both as optional
with defaults (binningUdf=None, maxBins=Histogram.MaximumAllowedDetailBins).
Default to the Scala-side defaults via the apply$default$N accessors when
the args are omitted, mirroring the existing satisfies() pattern. Existing
positional callers remain backward compatible.

Fixes #81

* drop issue-number comments from tests (review)

Release 1.6.0

V2 rewrite (beta): Support Spark Connect

Update pyproject.toml to version 1.5.0 (#242)

This is to release the new changes under version 1.5.0

Upgraded version of Python-Deequ to 1.4.0 (#217)

Prior to the release, we upgrade the release. Once merged into master, we release to PyPI.

Updated release version and maintainers (#201)

- Updated version to 1.3.0 ahead of release.
- Removed inactive maintainer and added active maintainer.

chore(release): 1.2.0 (#177)

chore(release): 1.1.1 (#155)

release: 1.1.0 (#139)

chore: release 1.1.0rc0 (#135)

* chore: release 1.1.0rc0

* bump min Python version to 3.7

* test: remove test on versions