o ҷh@sddlZddlZddlmZmZejddZejddZejddZejd d Z ejdd gd d d Z ejddZ ejddZ ejddZ ejddZejddZejddZejddgd ddZejddd dd!dd"dggd#d$d%d&Zejddgd d'd(Zejddgd d)d*Zejddgd d+d,Zejd-d.gd d/d0Zejddgd d1d2Zejd3d4Zejd5efd6d7ZdS)8N)SeriesoptionscCt)z3A fixture providing the ExtensionDtype to validate.NotImplementedErrorrrR/var/www/html/venv/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 rrrrrdatar cCs|js |jdks tdt)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 rrr data_for_twoss rcCr)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 rrrrall_data1s  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 rrgenJs 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 rrrrrdata_for_sortingQs 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. rrrrrdata_missing_for_sorting_r 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_rrrrna_cmpjs r%cC|jS)z>The scalar missing value for this type. Default dtype.na_value)na_valuerrrrr'wr'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. rrrrrdata_for_grouping}s r)TFcCr&)z#Whether to box the data in a Seriesrrrrr box_in_seriesr(r+cCsdSNrxrrrr0cCsdgt|Sr,)lenr.rrrr0scCstdgt|Sr,)rr2r.rrrr0scCs|Srrr.rrrr0r1)scalarlistseriesobject)ridscCr&)z, Functions to test groupby.apply(). rr*rrrgroupby_apply_ops r8cCr&)zU Boolean fixture to support Series and Series.to_frame() comparison testing. rr*rrras_framer9cCr&)zL Boolean fixture to support arr and Series(arr) comparison testing. rr*rrr as_seriesr:r;cCr&)zd Boolean fixture to support comparison testing of ExtensionDtype array and numpy array. rr*rrr use_numpyr<ffillbfillcCr&)z{ Parametrized fixture giving method parameters 'ffill' and 'bfill' for Series.fillna(method=) testing. rr*rrr fillna_methodr=r@cCr&)zR Boolean fixture to support ExtensionDtype _from_sequence method testing. rr*rrras_arrayr:rAcCs 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. )r6__new__rrrrinvalid_scalars rCreturncCstjjo tjjdkS)z7 Fixture to check if Copy-on-Write is enabled. block)rmode copy_on_write data_managerrrrrusing_copy_on_writesrI)r#rpandasrrfixturer r rrrr r!r"r%r'r)r+r8r9r;r<r@rArCboolrIrrrrsd