o ۭj@sddlZddlZddlmZddlmZmZejddZejddZ ejdd Z ejd d Z ejdd gd d dZ ejddZ ejddZejddZejddZejddZejddZejddgd ddZejdd d!d d"d d#d ggd$d%d&d'Zejddgd d(d)Zejddgd d*d+Zejddgd d,d-Zejd.d/gd d0d1Zejddgd d2d3Zejd4d5Zejd6efd7d8ZdS)9N) _get_option)SeriesoptionscCt)z3A fixture providing the ExtensionDtype to validate.NotImplementedErrorrr\/var/www/html/CropPilot/venv/lib/python3.10/site-packages/pandas/tests/extension/conftest.pydtype r cCr)z Length-100 array for this type. * data[0] and data[1] should both be non missing * data[0] and data[1] should not be equal rrrrr datar cCs$|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) _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 r rrr 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 r0cCsdgt|Sr,)lenr.rrr r0scCstdgt|Sr,)rr2r.rrr r0scCs|Srrr.rrr r0r1)scalarlistseriesobject)ridscCr')z, Functions to test groupby.apply(). rr*rrr groupby_apply_ops r8cCr')zU Boolean fixture to support Series and Series.to_frame() comparison testing. rr*rrr as_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*rrr as_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__rrrr invalid_scalars rCreturncCstjjduo tddddkS)z7 Fixture to check if Copy-on-Write is enabled. Tzmode.data_manager)silentblock)rmode copy_on_writerrrrr using_copy_on_writes rI)r$rpandas._config.configrpandasrrfixturer r rrrr!r"r#r&r(r)r+r8r9r;r<r@rArCboolrIrrrr sf