sharkdeng

def slk581(name, birthdate, gender):
    result = ''
    
    first_name, last_name = name.split(' ')
    
    # Take the 2nd, 3rd, and 5th letters of a record's family name (surname)
    if len(last_name) >=5 :
        result += last_name[1] + last_name[2] + last_name[4]

sharkdeng

def jaro(val1, val2):
    '''
    Computes the Jaro similarity between 2 sequences from:

        Matthew A. Jaro (1989). Advances in record linkage methodology
        as applied to the 1985 census of Tampa Florida. Journal of the
        American Statistical Association. 84 (406): 414–20.

sharkdeng

def jaro(val1, val2):
    '''
    Computes the Jaro similarity between 2 sequences from:
        Matthew A. Jaro (1989). Advances in record linkage methodology
        as applied to the 1985 census of Tampa Florida. Journal of the
        American Statistical Association. 84 (406): 414–20.
        
    Returns a value between 0.0 and 1.0.
    

sharkdeng

def crop_white(image: np.ndarray, value: int = 255) -> np.ndarray:
    assert image.shape[2] == 3
    assert image.dtype == np.uint8
    ys, = (image.min((1, 2)) < value).nonzero()
    xs, = (image.min(0).min(1) < value).nonzero()
    if len(xs) == 0 or len(ys) == 0:
        return image
    return image[ys.min():ys.max() + 1, xs.min():xs.max() + 1]