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B �5�g~ � @ s. d dl Zd dlmZ dd� Zed�dd�ZdS )� N)� is_list_likec s� d}t | �st|��x | D ]}t |�st|��qW t| �dkrBg S tjdd� | D �tjd�}t�|�}t�|dk �r|td��t� |d�� d� d< |d dkr�|d | �n t� |��� �fd d �t | �D �S ) a� Numpy version of itertools.product. Sometimes faster (for large inputs)... Parameters ---------- X : list-like of list-likes Returns ------- product : list of ndarrays Examples -------- >>> cartesian_product([list('ABC'), [1, 2]]) [array(['A', 'A', 'B', 'B', 'C', 'C'], dtype='<U1'), array([1, 2, 1, 2, 1, 2])] See Also -------- itertools.product : Cartesian product of input iterables. Equivalent to nested for-loops. z'Input must be a list-like of list-likesr c s s | ]}t |�V qd S )N)�len)�.0�x� r �N/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/core/reshape/util.py� <genexpr>' s z$cartesian_product.<locals>.<genexpr>)Zdtypez+Product space too large to allocate arrays!� ���c s0 g | ](\}}t t�|�| �t�� | ���qS r )� tile_compat�np�repeat�product)r �ir )�a�br r � <listcomp>6 s z%cartesian_product.<locals>.<listcomp>) r � TypeErrorr r ZfromiterZintpZ cumproduct�any� ValueErrorZrollZ zeros_like� enumerate)�X�msgr ZlenXZcumprodXr )r r r �cartesian_product s$ r )�numc C s8 t | tj�rt�| |�S t�t�t| ��|�}| �|�S )zf Index compat for np.tile. Notes ----- Does not support multi-dimensional `num`. )� isinstancer ZndarrayZtileZaranger Ztake)Zarrr Ztakerr r r r 9 s r )�numpyr Zpandas.core.dtypes.commonr r �intr r r r r �<module> s 3
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