fix: address failing tests with pandas 1.5.0 #82
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🤖 I have created a release *beep* *boop* --- ## [0.4.0](v0.3.1...v0.4.0) (2022-03-24) ### ⚠ BREAKING CHANGES * * fix: address failing compliance tests in DateArray and TimeArray * * fix: address failing compliance tests in DateArray and TimeArray * * fix: address failing compliance tests in DateArray and TimeArray * * fix: address failing compliance tests in DateArray and TimeArray * * fix: address failing compliance tests in DateArray and TimeArray * * fix: address failing compliance tests in DateArray and TimeArray * dbdate and dbtime dtypes return NaT instead of None for missing values ### Features * dbdate and dbtime support numpy.datetime64 values in array constructor ([1db1357](1db1357)) ### Bug Fixes * address failing 2D array compliance tests in DateArray ([#64](#64)) ([b771e05](b771e05)) * address failing tests with pandas 1.5.0 ([#82](#82)) ([38ac28d](38ac28d)) * allow comparison with scalar values ([#88](#88)) ([7495698](7495698)) * avoid TypeError when using sorted search ([#84](#84)) ([42bc2d9](42bc2d9)) * correct TypeError and comparison issues discovered in DateArray compliance tests ([#79](#79)) ([1e979cf](1e979cf)) * dbdate and dbtime support set item with null values ([#85](#85)) ([1db1357](1db1357)) * use `pandas.NaT` for missing values in dbdate and dbtime dtypes ([#67](#67)) ([f903c2c](f903c2c)) * use public pandas APIs where possible ([#60](#60)) ([e9d41d1](e9d41d1)) ### Tests * add dbtime compliance tests ([#90](#90)) ([f14fb2b](f14fb2b)) * add final dbdate compliance tests and sort ([#89](#89)) ([efe7e6d](efe7e6d)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please).
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test: add a test session with prerelease versions of dependencies
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Fixes #81 🦕