o թZh@sddlZddlZddlmZddlmZmZejddZejddZ ejdd Z ejd d Z ejdd gd d dZ ejddZ ejddZejddZejddZejddZejddZejddgd ddZejdd d!d d"d d#d ggd$d%d&d'Zejddgd d(d)Zejddgd d*d+Zejddgd d,d-Zejd.d/gd d0d1Zejddgd d2d3Zejd4d5Zejd6efd7d8ZdS)9N) _get_option)SeriesoptionscCt)z3A fixture providing the ExtensionDtype to validate.NotImplementedErrorrrV/var/www/html/lang_env/lib/python3.10/site-packages/pandas/tests/extension/conftest.pydtype r cCr)z Length-100 array for this type. * data[0] and data[1] should both be non missing * data[0] and data[1] should not be equal rrrrr datar cCs$|js|jdkst|dt)z Length-100 array in which all the elements are two. Call pytest.skip in your fixture if the dtype does not support divmod. mz is not a numeric dtype)Z _is_numerickindpytestskiprr rrr data_for_twossrcCr)zLength-2 array with [NA, Valid]rrrrr data_missing-r r)paramscCs |jdkr|S|jdkr|SdS)z5Parametrized fixture giving 'data' and 'data_missing'r rNparam)requestr rrrr all_data3s  rcsfdd}|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. c3st|D]}VqdSN)range)count_r rr genLs zdata_repeated..genr)r rrrr data_repeated<s r cCr)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 rrrrr data_for_sortingSs r!cCr)z{ Length-3 array with a known sort order. This should be three items [B, NA, A] with A < B and NA missing. rrrrr data_missing_for_sortingar r"cCstjS)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_rrrr na_cmpls r%cC|jS)z The scalar missing value for this type. Default dtype.na_value. TODO: can be removed in 3.x (see https://github.com/pandas-dev/pandas/pull/54930) )na_valuerrrr r'ysr'cCr)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. rrrrr data_for_groupings r(TFcCr&)z#Whether to box the data in a Seriesrrrrr box_in_seriessr*cCsdSNrxrrr r/cCsdgt|Sr+)lenr-rrr r/scCstdgt|Sr+)rr1r-rrr r/scCs|Srrr-rrr r/r0)ZscalarlistZseriesobject)rZidscCr&)z, Functions to test groupby.apply(). rr)rrr groupby_apply_ops r4cCr&)zU Boolean fixture to support Series and Series.to_frame() comparison testing. rr)rrr as_framer5cCr&)zL Boolean fixture to support arr and Series(arr) comparison testing. rr)rrr as_seriesr6r7cCr&)zd Boolean fixture to support comparison testing of ExtensionDtype array and numpy array. rr)rrr use_numpyr8ZffillZbfillcCr&)z{ Parametrized fixture giving method parameters 'ffill' and 'bfill' for Series.fillna(method=) testing. rr)rrr fillna_methodr9r:cCr&)zR Boolean fixture to support ExtensionDtype _from_sequence method testing. rr)rrr as_arrayr6r;cCs 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. )r3__new__rrrr invalid_scalars r=returncCstjjduo tddddkS)z7 Fixture to check if Copy-on-Write is enabled. Tzmode.data_manager)Zsilentblock)rmodeZ copy_on_writerrrrr using_copy_on_writes rA)r#rZpandas._config.configrZpandasrrZfixturer r rrrr r!r"r%r'r(r*r4r5r7r8r:r;r=boolrArrrr sf