import itertools
values = [
[],
[],
[[3, 4, 7, 5], [3, 10, 6, 10]],
[[4, 5, 2, 7]],
[],
[[6, 7, 5, 4]],
[[7, 8, 4, 2]],
[[8, 9, 10, 4], [8, 9, 1, 10]],
[[9, 10, 7, 3], [9, 10, 7, 9], [9, 10, 3, 7]],
[]
]
# Remove the empty items from the list.
filter_empty = [items for items in values if items]
# Append None to each sub-list after the first to allow for later items to not be picked.
values_with_none = [items + ([None] if index > 0 else []) for index, items in enumerate(filter_empty)]
# Generate all combinations of picking one item from each sub-list.
all_combinations = list(itertools.product(*values_with_none))
# Remove all the None elements from the sub-lists.
filter_nones = [[v for v in arr if v is not None] for arr in all_combinations]
# Filter out all the sub-lists where the last element does not have a second element of 10.
ending_with_10 = [arr for arr in filter_nones if arr[-1][1] == 10]
# Filter out all the sub-lists where the second elements are not in order.
filter_lt = [arr for arr in ending_with_10 if all(map(lambda v: v[0][1] < v[1][1], zip(arr[0:-1], arr[1:])))]
for arr in filter_lt:
print(arr)
def product(*args):
pools = map(tuple, args)
result = [[]]
for pool in pools:
result = [x+[y] for x in result for y in pool]
for prod in result:
yield tuple(prod)
# Generate all combinations of picking one item from each sub-list.
all_combinations = list(product(*values_with_none))
1条答案
按热度按时间nmpmafwu1#
您可以使用简单的列表操作：
输出：
或者您可以使用generate all combinations from a list of lists：
其输出相同。