(arrays, merge_type, dtype=None)
return arrays[0]
Merge multiple arrays for the same size together.
    The type of merge must also be set.
Merge multiple arrays for the same size together.
    The type of merge must also be set.
Merge multiple arrays for the same size together . The type of merge must also be set .
def merge(arrays, merge_type, dtype=None):
    """Merge multiple arrays for the same size together.
    The type of merge must also be set.
    """

    merge_type = merge_type.lower()
    array_len = len(arrays)
    
    if not array_len:
        return None
    
    elif merge_type.startswith('max'):
        return numpy.maximum.reduce(arrays, dtype=_get_dtype(dtype))
        
    elif merge_type.startswith('min'):
        return numpy.minimum.reduce(arrays, dtype=_get_dtype(dtype))
        
    elif merge_type.startswith('add'):
        return numpy.add.reduce(arrays, dtype=_get_dtype(dtype))
        
    elif merge_type.startswith('sub'):
        return numpy.subtract.reduce(arrays, dtype=_get_dtype(dtype))
        
    elif merge_type.startswith('mul'):
        return numpy.multiply.reduce(arrays, dtype=_get_dtype(dtype))
        
    elif merge_type.startswith('div'):
        return numpy.divide.reduce(arrays, dtype=_get_dtype(dtype))
            
    return arrays[0]
def merge ( arrays , merge_type , dtype = None ) : merge_type = merge_type . lower ( ) array_len = len ( arrays ) if not array_len : return None elif merge_type . startswith ( 'max' ) : return numpy . maximum . reduce ( arrays , dtype = _get_dtype ( dtype ) ) elif merge_type . startswith ( 'min' ) : return numpy . minimum . reduce ( arrays , dtype = _get_dtype ( dtype ) ) elif merge_type . startswith ( 'add' ) : return numpy . add . reduce ( arrays , dtype = _get_dtype ( dtype ) ) elif merge_type . startswith ( 'sub' ) : return numpy . subtract . reduce ( arrays , dtype = _get_dtype ( dtype ) ) elif merge_type . startswith ( 'mul' ) : return numpy . multiply . reduce ( arrays , dtype = _get_dtype ( dtype ) ) elif merge_type . startswith ( 'div' ) : return numpy . divide . reduce ( arrays , dtype = _get_dtype ( dtype ) ) return arrays [ 0 ]