import threading
import time

text: str = open("example.txt", "r").read()

_value: int = 0

_lines = text.splitlines()

current_ranges = []
convertions = [] 

bozo = _lines[0][7:].split(" ")
for i, value in enumerate(bozo):
	if (i % 2):
		continue
	current_ranges.append((int(bozo[i]), int(bozo[i]) + int(bozo[i + 1])))

def extract_map_data(lines: [str]):
	lst = []
	for line in lines:
		if (line == ""):
			break
		bozo = line.split()
		length = int(bozo[2])
		destination = int(bozo[0]) - int(bozo[1])
		source_range = range(int(bozo[1]), int(bozo[1]) + length)
		lst.append({"destination": destination, "source_range": source_range})
	return lst

def translation(lst: list[dict], value: int):
	for map in lst:
		if value in map["source_range"]:
			value += map["destination"]
			break
	return value

for i, line in enumerate(_lines):
	if (line.endswith(" map:")):
		convertions.append(extract_map_data(_lines[i + 1:]))


current_time = time.time()
def display_duration(interval_between_call, nb_total_values):
	global current_time
	old_time = current_time
	current_time = time.time()
	diff = int(((current_time - old_time) / interval_between_call) * nb_total_values)
	print(f"{int(diff / 3600)}h {int(diff % 3600 / 60)}min {int(diff % 60)}s")

def do_all_convertions(lst_convertions: [[dict]], value):
	for i, tab_convertion in enumerate(convertions):
		value = translation(tab_convertion, value)
	return value

def get_min_in_range(lst_conversions, start, stop):
	min_value = do_all_convertions(lst_conversions, start)
	i = start + 1;
	while (i != stop):

		if ((i - start) % 10000 == 0):
			display_duration(10000, stop - start)
			print(i - start, '/', stop - start)

		value = do_all_convertions(lst_conversions, i)
		#print(min_value, value, min(value, min_value))
		min_value = min(value, min_value)
		i += 1
	return (min_value)

CHUNK_SIZE = 10
values = []
for current_range in current_ranges:
	start, stop = current_range
	i = start
	chunks = []
	while(i < stop):
		i += CHUNK_SIZE
		if (i >= stop):
			chunks.append(stop)
		else:
			chunks.append(i)
	start_value = start
	i = 0
	while (i < len(chunks)):
		values.append(get_min_in_range(convertions, start_value, chunks[i]))
		i += 1
		start_value = chunks[i - 1]

_value = min(values)

print(_value)