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B �5�g� � @ s� d dl Z d dlZd dlmZ ejdd� �Zejdd� �Zejdd� �Zejd d � �Zejdd gd �d d � �Z ejdd� �Z ejdd� �Z ejdd� �Z ejdd� �Z ejdd� �Zejdd� �Zejddgd �d d � �Zejd d � d d � d!d � d"d � gd#d$d%d&gd'�d(d)� �Zejddgd �d*d+� �Zejddgd �d,d-� �Zejddgd �d.d/� �Zejd0d1gd �d2d3� �Zejddgd �d4d5� �ZdS )6� N)�Seriesc C s t �dS )z3A fixture providing the ExtensionDtype to validate.N)�NotImplementedError� r r �U/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/tests/extension/conftest.py�dtype s r c C s t �dS )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 N)r r r r r �data s r c C s t �dS )z3Length-100 array in which all the elements are two.N)r r r r r � data_for_twos s r c C s t �dS )z Length-2 array with [NA, Valid]N)r r r r r � data_missing s r )�paramsc C s | j dkr|S | j dkr |S dS )z5Parametrized fixture giving 'data' and 'data_missing'r r N)�param)�requestr r r r r �all_data% s r c s � fdd�}|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. c 3 s xt | �D ] }� V q W d S )N)�range)�count�_)r r r �gen> s zdata_repeated.<locals>.genr )r r r )r r � data_repeated. s r c C s t �dS )zn Length-3 array with a known sort order. This should be three items [B, C, A] with A < B < C N)r r r r r �data_for_sortingE s r c C s t �dS )z{ Length-3 array with a known sort order. This should be three items [B, NA, A] with A < B and NA missing. N)r r r r r �data_missing_for_sortingP s r c C s t jS )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_`` )�operator�is_r r r r �na_cmp[ s r c C s dS )z6The scalar missing value for this type. Default 'None'Nr r r r r �na_valueh s r c C s t �dS )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 N)r r r r r �data_for_groupingn s r TFc C s | j S )z#Whether to box the data in a Series)r )r r r r � box_in_seriesz s r c C s dS )N� r )�xr r r �<lambda>� � r c C s dgt | � S )Nr )�len)r r r r r � r c C s t dgt| � �S )Nr )r r )r r r r r � r c C s | S )Nr )r r r r r � r Zscalar�listZseries�object)r Zidsc C s | j S )z, Functions to test groupby.apply(). )r )r r r r �groupby_apply_op� s r" c C s | j S )zU Boolean fixture to support Series and Series.to_frame() comparison testing. )r )r r r r �as_frame� s r# c C s | j S )zL Boolean fixture to support arr and Series(arr) comparison testing. )r )r r r r � as_series� s r$ c C s | j S )zd Boolean fixture to support comparison testing of ExtensionDtype array and numpy array. )r )r r r r � use_numpy� s r% ZffillZbfillc C s | j S )z{ Parametrized fixture giving method parameters 'ffill' and 'bfill' for Series.fillna(method=<method>) testing. )r )r r r r � fillna_method� s r& c C s | j S )zR Boolean fixture to support ExtensionDtype _from_sequence method testing. )r )r r r r �as_array� s r' )r ZpytestZpandasr Zfixturer r r r r r r r r r r r r" r# r$ r% r& r' r r r r �<module> s2
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