z-e~ddlZddlZddlmZmZejdZejdZejdZejdZ ejddg d Z ejd Z ejd Z ejd Z ejdZejdZejdZejddg dZejddddggddZejddg dZejddg dZejddg dZejddg d Zejddg d!Zejd"Zejd#efd$ZdS)%N)Seriesoptionsct)z3A fixture providing the ExtensionDtype to validate.NotImplementedError?lib/python3.11/site-packages/pandas/tests/extension/conftest.pydtyper  r ct)z Length-100 array for this type. * data[0] and data[1] should both be non missing * data[0] and data[1] should not be equal rrr r datar  r c\|js|jdkstjdt)z Length-100 array in which all the elements are two. Call pytest.skip in your fixture if the dtype does not support divmod. mzNot a numeric dtype) _is_numerickindpytestskiprr s r data_for_twosrs4  +s!2!2  )*** r ct)zLength-2 array with [NA, Valid]rrr r data_missingr+r r rr)paramsc:|jdkr|S|jdkr|SdS)z5Parametrized fixture giving 'data' and 'data_missing'rrNparam)requestrrs r all_datar1s1} . ( ( ) (r cfd}|S)a  Generate many datasets. Parameters ---------- data : fixture implementing `data` Returns ------- Callable[[int], Generator]: A callable that takes a `count` argument and returns a generator yielding `count` datasets. c38Kt|D]}VdSN)range)count_rs r genzdata_repeated..genJs1u  AJJJJ  r r)rr&s` r data_repeatedr':s#  Jr ct)z Length-3 array with a known sort order. This should be three items [B, C, A] with A < B < C For boolean dtypes (for which there are only 2 values available), set B=C=True rrr r data_for_sortingr)Qs  r ct)z{ Length-3 array with a known sort order. This should be three items [B, NA, A] with A < B and NA missing. rrr r data_missing_for_sortingr+_rr ctjS)z Binary operator for comparing NA values. Should return a function of two arguments that returns True if both arguments are (scalar) NA for your type. By default, uses ``operator.is_`` )operatoris_rr r na_cmpr/js  <r c|jS)z>The scalar missing value for this type. Default dtype.na_value)na_valuers r r1r1ws  >r ct)z Data for factorization, grouping, and unique tests. Expected to be like [B, B, NA, NA, A, A, B, C] Where A < B < C and NA is missing. If a dtype has _is_boolean = True, i.e. only 2 unique non-NA entries, then set C=B. rrr r data_for_groupingr3}s  r TFc|jS)z#Whether to box the data in a Seriesrrs r box_in_seriesr6s  =r cdSNrxs r r<!r c(dgt|zSr8)lenr:s r r<r<s1#A,r cBtdgt|zSr8)rr?r:s r r<r<s&!s1vv&&r c|Sr"rr:s r r<r<r=r )scalarlistseriesobject)ridsc|jS)z, Functions to test groupby.apply(). rr5s r groupby_apply_oprHs  =r c|jS)zU Boolean fixture to support Series and Series.to_frame() comparison testing. rr5s r as_framerJ =r c|jS)zL Boolean fixture to support arr and Series(arr) comparison testing. rr5s r as_seriesrMrKr c|jS)zd Boolean fixture to support comparison testing of ExtensionDtype array and numpy array. rr5s r use_numpyrO =r ffillbfillc|jS)z{ Parametrized fixture giving method parameters 'ffill' and 'bfill' for Series.fillna(method=) testing. rr5s r fillna_methodrTrPr c|jS)zR Boolean fixture to support ExtensionDtype _from_sequence method testing. rr5s r as_arrayrVrKr c@ttS)z A scalar that *cannot* be held by this ExtensionArray. The default should work for most subclasses, but is not guaranteed. If the array can hold any item (i.e. object dtype), then use pytest.skip. )rE__new__)rs r invalid_scalarrYs >>& ! !!r returncNtjjotjjdkS)z7 Fixture to check if Copy-on-Write is enabled. block)rmode copy_on_write data_managerrr r using_copy_on_writer`s < % N',*Cw*NNr )r-rpandasrrfixturer rrrrr'r)r+r/r1r3r6rHrJrMrOrTrVrYboolr`rr r rdsZ       /00010,          e}%%%&%  &&   /..e}%%%&%e}%%%&%e}%%%&%)***+*e}%%%&%"""OTOOOOOOr