import numpy as np

def read_inventory(filename: str):
	# Read file as list of strings
	with open(filename, "r") as fp:
		data = fp.read().splitlines()

    # Split on the empty line to separate ranges and items
	splitpoint = data.index("")
	ranges, items = data[:splitpoint], data[splitpoint + 1:]

	return np.array([ran.split("-") for ran in ranges], dtype=int), np.array(items, dtype=int)

def is_fresh(ranges, item):
	mins = ranges[:,0]
	maxs = ranges[:,1]
	return np.any((mins <= item)*(item <= maxs))

def count_fresh_items(ranges, items):
	return sum([is_fresh(ranges, item) for item in items])

if __name__ == "__main__":
	test_ranges, test_items = read_inventory("testinput")
	# for item in test_items:
	# 	print(is_fresh(item, test_ranges))
	assert count_fresh_items(test_ranges, test_items) == 3

	test_freshes = [False, True, False, True, True, False]
	for idx, item in enumerate(test_items):
		assert is_fresh(test_ranges, item) == test_freshes[idx]

	ranges, items = read_inventory("input")
	print(count_fresh_items(ranges, items))