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class LengthError(BaseException):
pass
class MirrorError(BaseException):
pass
def raise_valueerror_if_data_is_not_lists_or_tuples(lists):
"""Check that `lists` is a list of lists: If not, raise an exception."""
def is_list_or_tuple(item):
return type(item) == type([]) or type(item) == type(tuple)
if (not is_list_or_tuple(lists)) or (not all(map(is_list_or_tuple, lists))):
raise ValueError("Expected list or tuple")
def raise_valueerror_if_lists_empty(lists):
"""Check that the list and its direct children are not empty."""
def empty(lst):
return len(lst) == 0
if (empty(lists)) or not all(map(lambda x: not empty(x), lists)):
raise ValueError("List/Tuple should NOT be empty!")
def raise_lengtherror_if_child_lists_are_not_same_as_parent(lists):
def len_is_same_as_parent(lst):
return len(lst) == len(lists)
if not all(map(len_is_same_as_parent, lists)):
raise LengthError("All children lists should be same length as the parent.")
def raise_valueerror_if_child_list_distance_from_itself_is_not_zero(lists):
def get_child_distance(child):
idx = lists.index(child)
return lists[idx][idx]
def distance_is_zero(dist):
return dist == 0
children_distances = map(get_child_distance, lists)
if not all(map(distance_is_zero, children_distances)):
raise ValueError("Distance of each child list/tuple from itself should be zero!")
def raise_mirrorerror_of_distances_one_way_are_not_same_other_way(lists):
"""Check that the distance from A to B, is the same as the distance from B to A.
If the two distances are different, throw an exception."""
for i in range(len(lists)):
for j in range(len(lists)):
if lists[i][j] != lists[j][i]:
raise MirrorError(
("Distance from one child({}) to the other ({}) "
"should be the same in both directions.").format(
lists[i][j], lists[j][i]))
def raise_valueerror_on_negative_distances(lists):
"""Check that distances between 'somethings' are all positive, otherwise,
raise an exception."""
def zero_or_positive(val):
return val >= 0;
# flatten lists
flattened = [distance for child in lists for distance in child]
if not all(map(zero_or_positive, flattened)):
raise ValueError("Distances should be positive.")
def nearest(lists, i, j):
"""Computes some form of distance.
This is 'copied' over from genenetwork1, from https://github.com/genenetwork/genenetwork1/blob/master/web/webqtl/heatmap/slink.py#L42-L64.
This description should be updated once the form/type of 'distance' identified."""
#### Guard Functions: Should we do this a different way? ####
raise_valueerror_if_data_is_not_lists_or_tuples(lists)
raise_valueerror_if_lists_empty(lists)
raise_lengtherror_if_child_lists_are_not_same_as_parent(lists)
raise_valueerror_if_child_list_distance_from_itself_is_not_zero(lists)
raise_mirrorerror_of_distances_one_way_are_not_same_other_way(lists)
raise_valueerror_on_negative_distances(lists)
#### END: Guard Functions ####
if type(i) == int and type(j) == int: # From member i to member j
return lists[i][j]
elif type(i) == int and (type(j) in [list, tuple]):
return min(map(lambda j_new: nearest(lists, i, j_new), j))
elif type(j) == int and (type(i) in [list, tuple]):
return min(map(lambda i_new: nearest(lists, i_new, j), i))
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