def hazard_items(dic, mesh, *extras, **kw):
    """
    :param dic: dictionary of arrays of the same shape
    :param mesh: a mesh array with lon, lat fields of the same length
    :param extras: optional triples (field, dtype, values)
    :param kw: dictionary of parameters (like investigation_time)
    :returns: a list of pairs (key, value) suitable for storage in .npz format
    """
    for item in kw.items():
        yield item
    arr = dic[next(iter(dic))]
    dtlist = [(str(field), arr.dtype) for field in sorted(dic)]
    for field, dtype, values in extras:
        dtlist.append((str(field), dtype))
    array = numpy.zeros(arr.shape, dtlist)
    for field in dic:
        array[field] = dic[field]
    for field, dtype, values in extras:
        array[field] = values
    yield 'all', util.compose_arrays(mesh, array)
def hazard_items ( dic , mesh , * extras , ** kw ) : for item in kw . items ( ) : yield item arr = dic [ next ( iter ( dic ) ) ] dtlist = [ ( str ( field ) , arr . dtype ) for field in sorted ( dic ) ] for field , dtype , values in extras : dtlist . append ( ( str ( field ) , dtype ) ) array = numpy . zeros ( arr . shape , dtlist ) for field in dic : array [ field ] = dic [ field ] for field , dtype , values in extras : array [ field ] = values yield 'all' , util . compose_arrays ( mesh , array )
:param dic: dictionary of arrays of the same shape
    :param mesh: a mesh array with lon, lat fields of the same length
    :param extras: optional triples (field, dtype, values)
    :param kw: dictionary of parameters (like investigation_time)
    :returns: a list of pairs (key, value) suitable for storage in .npz format