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    ?h                     @   s$   d dl Zdd ZdddddZdS )	    Nc                 C   sL   t | dkr8| d d dkr8| d | d  dkr8tj}ntj}|| tS )a  Round coords while ensuring successive values are less than 1 apart.

    When rounding coordinates for `line_nd`, we want coordinates that are less
    than 1 apart (always the case, by design) to remain less than one apart.
    However, NumPy rounds values to the nearest *even* integer, so:

    >>> np.round([0.5, 1.5, 2.5, 3.5, 4.5])
    array([0., 2., 2., 4., 4.])

    So, for our application, we detect whether the above case occurs, and use
    ``np.floor`` if so. It is sufficient to detect that the first coordinate
    falls on 0.5 and that the second coordinate is 1.0 apart, since we assume
    by construction that the inter-point distance is less than or equal to 1
    and that all successive points are equidistant.

    Parameters
    ----------
    coords : 1D array of float
        The coordinates array. We assume that all successive values are
        equidistant (``np.all(np.diff(coords) = coords[1] - coords[0])``)
        and that this distance is no more than 1
        (``np.abs(coords[1] - coords[0]) <= 1``).

    Returns
    -------
    rounded : 1D array of int
        The array correctly rounded for an indexing operation, such that no
        successive indices will be more than 1 apart.

    Examples
    --------
    >>> coords0 = np.array([0.5, 1.25, 2., 2.75, 3.5])
    >>> _round_safe(coords0)
    array([0, 1, 2, 3, 4])
    >>> coords1 = np.arange(0.5, 8, 1)
    >>> coords1
    array([0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5])
    >>> _round_safe(coords1)
    array([0, 1, 2, 3, 4, 5, 6, 7])
       r   g      ?)lennpfloorroundastypeint)coordsZ_round_function r
   F/var/www/html/venv/lib/python3.8/site-packages/skimage/draw/draw_nd.py_round_safe   s    )r   FT)endpointintegerc             	   C   s   t | } t |}tt t t ||  }|r>|d7 }t j| |||dj}|rtt	| D ]$}t
||ddf ||ddf< qb|t}t|S )a  Draw a single-pixel thick line in n dimensions.

    The line produced will be ndim-connected. That is, two subsequent
    pixels in the line will be either direct or diagonal neighbors in
    n dimensions.

    Parameters
    ----------
    start : array-like, shape (N,)
        The start coordinates of the line.
    stop : array-like, shape (N,)
        The end coordinates of the line.
    endpoint : bool, optional
        Whether to include the endpoint in the returned line. Defaults
        to False, which allows for easy drawing of multi-point paths.
    integer : bool, optional
        Whether to round the coordinates to integer. If True (default),
        the returned coordinates can be used to directly index into an
        array. `False` could be used for e.g. vector drawing.

    Returns
    -------
    coords : tuple of arrays
        The coordinates of points on the line.

    Examples
    --------
    >>> lin = line_nd((1, 1), (5, 2.5), endpoint=False)
    >>> lin
    (array([1, 2, 3, 4]), array([1, 1, 2, 2]))
    >>> im = np.zeros((6, 5), dtype=int)
    >>> im[lin] = 1
    >>> im
    array([[0, 0, 0, 0, 0],
           [0, 1, 0, 0, 0],
           [0, 1, 0, 0, 0],
           [0, 0, 1, 0, 0],
           [0, 0, 1, 0, 0],
           [0, 0, 0, 0, 0]])
    >>> line_nd([2, 1, 1], [5, 5, 2.5], endpoint=True)
    (array([2, 3, 4, 4, 5]), array([1, 2, 3, 4, 5]), array([1, 1, 2, 2, 2]))
    r   )numr   N)r   Zasarrayr   ceilmaxabsZlinspaceTranger   r   r   tuple)startstopr   r   Znpointsr	   dimr
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   r   line_nd6   s    +
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