U >v f@sddlZddlZddlmZmZejddZejddZejddZejd d Z ejdd gd d d Z ejddZ ejddZ ejddZ ejddZejddZejddZejddgd ddZejddd dd!dd"dgd#d$d%d&gd'd(d)Zejddgd d*d+Zejddgd d,d-Zejddgd d.d/Zejd0d1gd d2d3Zejddgd d4d5Zejd6d7Zejed8d9d:ZdS);N)SeriesoptionscCstdS)z3A fixture providing the ExtensionDtype to validate.NNotImplementedErrorrrC/tmp/pip-unpacked-wheel-vdrwu74i/pandas/tests/extension/conftest.pydtype srcCstdS)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 Nrrrrrdatasr cCstdS)z3Length-100 array in which all the elements are two.Nrrrrr data_for_twossr cCstdS)zLength-2 array with [NA, Valid]Nrrrrr data_missing"sr )paramscCs |jdkr|S|jdkr|SdS)z5Parametrized fixture giving 'data' and 'data_missing'r r Nparam)requestr r rrrall_data(s  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 rrgenAs zdata_repeated..genr)r rrrr data_repeated1s rcCstdS)zn Length-3 array with a known sort order. This should be three items [B, C, A] with A < B < C Nrrrrrdata_for_sortingHsrcCstdS)z{ Length-3 array with a known sort order. This should be three items [B, NA, A] with A < B and NA missing. Nrrrrrdata_missing_for_sortingSsrcCstjS)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_cmp^s rcCsdS)z6The scalar missing value for this type. Default 'None'Nrrrrrna_valueksrcCstdS)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 Nrrrrrdata_for_groupingqs rTFcCs|jS)z#Whether to box the data in a Seriesr rrrr box_in_series}sr cCsdSNrxrrrr%cCsdgt|Sr!)lenr#rrrr%r&cCstdgt|Sr!)rr'r#rrrr%r&cCs|Srrr#rrrr%r&ZscalarlistZseriesobject)r idscCs|jS)z, Functions to test groupby.apply(). r rrrrgroupby_apply_ops r+cCs|jS)zU Boolean fixture to support Series and Series.to_frame() comparison testing. r rrrras_framesr,cCs|jS)zL Boolean fixture to support arr and Series(arr) comparison testing. r rrrr as_seriessr-cCs|jS)zd Boolean fixture to support comparison testing of ExtensionDtype array and numpy array. r rrrr use_numpysr.ZffillZbfillcCs|jS)z{ Parametrized fixture giving method parameters 'ffill' and 'bfill' for Series.fillna(method=) testing. r rrrr fillna_methodsr/cCs|jS)zR Boolean fixture to support ExtensionDtype _from_sequence method testing. r rrrras_arraysr0cCs 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. )r)__new__rrrrinvalid_scalars r2)returncCstjjotjjdkS)z7 Fixture to check if Copy-on-Write is enabled. block)rmodeZ copy_on_writeZ data_managerrrrrusing_copy_on_writesr6)rZpytestZpandasrrZfixturerr r r rrrrrrrr r+r,r-r.r/r0r2boolr6rrrrsb