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chunk data gen

main
mm 2 years ago
parent
commit
9083e9d6e1
  1. 13
      generate_data.py

13
generate_data.py

@ -105,23 +105,25 @@ def calculate_distance(pair):
distance = get_distance(city1["name"], city2["name"]) distance = get_distance(city1["name"], city2["name"])
return city1["name"], city2["name"], distance return city1["name"], city2["name"], distance
def main(): def main():
cities = list(us_cities.values()) cities = list(us_cities.values())
print(f"Num cities: {len(cities)}") print(f"Num cities: {len(cities)}")
city_combinations = list(itertools.combinations(cities, 2)) city_combinations = list(itertools.combinations(cities, 2))
chunk_size = 800 # adjust this as needed
num_chunks = len(city_combinations) // chunk_size + 1
output_file = args.output_file
with open(args.output_file, "w", newline="") as csvfile: with open(output_file, "w", newline="") as csvfile:
fieldnames = ["city_from", "city_to", "distance"] fieldnames = ["city_from", "city_to", "distance"]
writer = csv.DictWriter(csvfile, fieldnames=fieldnames) writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader() writer.writeheader()
try: try:
executor = concurrent.futures.ProcessPoolExecutor(max_workers=args.workers) executor = concurrent.futures.ProcessPoolExecutor(max_workers=args.workers)
# results = executor.map(calculate_distance, city_combinations) for i in range(num_chunks):
chunk = city_combinations[i * chunk_size : (i + 1) * chunk_size]
futures = { futures = {
executor.submit(calculate_distance, pair): pair executor.submit(calculate_distance, pair): pair for pair in chunk
for pair in city_combinations
} }
for future in as_completed(futures): for future in as_completed(futures):
city_from, city_to, distance = future.result() city_from, city_to, distance = future.result()
@ -133,6 +135,7 @@ def main():
"distance": distance, "distance": distance,
} }
) )
csvfile.flush() # write to disk immediately
except KeyboardInterrupt: except KeyboardInterrupt:
print("Interrupted. Terminating processes...") print("Interrupted. Terminating processes...")
executor.shutdown(wait=False) executor.shutdown(wait=False)

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