Co-authored-by: Simon Hawkins <simonjayhawkins@gmail.com>
Co-authored-by: Irv Lustig <irv@princeton.com>
Co-authored-by: William Ayd <william.ayd@icloud.com>
Co-authored-by: Richard Shadrach <45562402+rhshadrach@users.noreply.github.com>
Co-authored-by: Patrick Hoefler <61934744+phofl@users.noreply.github.com>

…test build (pandas-dev#58459)

…_dtype (pandas-dev#59320)

…pandas-dev#59323)

…n `StringDtype()` (pandas-dev#59330)

* rename storage option and add na_value keyword

* update init

* fix propagating na_value to Array class + fix some tests

* fix more tests

* disallow pyarrow_numpy as option + fix more cases of checking storage to be pyarrow_numpy

* restore pyarrow_numpy as option for now

* linting

* try fix typing

* try fix typing

* fix dtype equality to take into account the NaN vs NA

* fix pickling of dtype

* fix test_convert_dtypes

* update expected result for dtype='string'

* suppress typing error with _metadata attribute

…er_string (pandas-dev#59329)

* TST (string dtype): xfail all currently failing tests with future.infer_string

* more xfails

* more xfails

* add missing strict=False

* also run slow and single cpu tests

* fix single_cpu tests

* xfail some slow tests

* stop suppressing non-zero exit code from pytest on string CI build

* remove accidentally added xlsx file

---------

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

…pandas-dev#59352)

* TST (string dtype): follow-up on pandas-devGH-59329 fixing new xfails

* add missing strict

…pe instances (pandas-dev#59345)

* TST (string dtype): change any_string_dtype fixture to use actual dtype instances

* avoid pyarrow import error during test collection

* fix dtype equality in case pyarrow is not installed

* keep using mode.string_storage as default for NA variant + more xfails

* fix test_series_string_inference_storage_definition

* remove no longer necessary xfails

---------

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>

…das-dev#59368)

* TST (string dtype): remove usage of arrow_string_storage fixture

* fixup

…age/na_value keyword arguments for dtype creation (pandas-dev#59375)

…(remove pyarrow_numpy) (pandas-dev#59376)

* String dtype: restrict options.mode.string_storage to python|pyarrow (remove pyarrow_numpy)

* add type annotation

…d implementation (pandas-dev#59414)

…umPy semantics (pandas-dev#58451)

Co-authored-by: Patrick Hoefler <61934744+phofl@users.noreply.github.com>

* REF: de-duplicate _str_map methods

* mypy fixup

…nt of the dtype (pandas-dev#59388)

…-dev#59448)

* String dtype: fix alignment sorting in case of python storage

* add test

…t pyarrow (pandas-dev#59437)

* TST (string dtype): add test build with future strings enabled without pyarrow

* ensure the build doesn't override the default ones

* uninstall -> remove

* avoid jobs with same env being cancelled

* use different python version for both future jobs

* add some xfails

* fixup xfails

* less strict

* REF (string): de-duplicate _str_map (2)

* mypy fixup

REF: de-duplicate str_map_nan_semantics

…rray in ArrowStringArray constructor (pandas-dev#59479)

…pandas-dev#59470)

* String dtype: fix convert_dtypes() to convert NaN-string to NA-string

* fix CoW tracking for conversion to python storage strings

* remove xfails

… None) (pandas-dev#59488)

* String dtype: honor mode.string_storage option (and change default to None)

* fix test + explicitly test default

* use 'auto' instead of None

…9505)

* BUG: ArrowEA comparisons with mismatched types

* move whatsnew

* GH ref

…andas-dev#59481)

…andas-dev#59481)

…pe of columns' Index (pandas-dev#59509)

…andas-dev#59514)

* REF (string): Move StringArrayNumpySemantics methods to base class

* mypy fixup

* REF (string): remove _str_na_value

* mypy fixup

…ss (pandas-dev#59501)

* REF: move ArrowStringArrayNumpySemantics methods to parent class

* REF: move methods to ArrowStringArray

* mypy fixup

* Fix incorrect double-unpacking

* move methods to subclass

…pandas-dev#59526)

* API (string): return str dtype for .dt methods, DatetimeIndex methods

* mypy fixup

…ain)

…maybe_converts_object`) if requested (pandas-dev#59487)

* String dtype: maybe_converts_object give precedence to nullable dtype

* update datetimelike input validation

* update tests and remove xfails

* explicitly test pd.array() behaviour (remove xfail)

* fixup allow_2d

* undo changes related to datetimelike input validation

* fix test for str on current main

---------

Co-authored-by: Matthew Roeschke <10647082+mroeschke@users.noreply.github.com>