7ea3dbcca4
it might be easier to score pages based on their rank of the sorted their centralities. for instance the centralities for page A and page B might be very similar numerically, but if a lot of pages are between A and B when looking at the sorted list, the highest ranking page might in reality be a better result than the lower ranking one. the rankings are calculated using an external sorting algorithm to account for the fact that we might need to sort more nodes than we can feasibly keep in memory at once.
35 lines
822 B
Python
Executable file
Vendored
35 lines
822 B
Python
Executable file
Vendored
#!.venv/bin/python3
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import argparse
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import subprocess
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import os
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os.environ["LIBTORCH"] = "libtorch"
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os.environ["LD_LIBRARY_PATH"] = "libtorch/lib"
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os.environ["DYLD_LIBRARY_PATH"] = "libtorch/lib"
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parser = argparse.ArgumentParser()
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parser.add_argument("--release", action="store_true")
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args = parser.parse_args()
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if args.release:
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os.environ["STRACT_CARGO_ARGS"] = "--release"
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processes = []
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processes.append(subprocess.Popen(["just", "dev-api"]))
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processes.append(subprocess.Popen(["just", "dev-search-server"]))
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processes.append(subprocess.Popen(["just", "dev-webgraph"]))
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processes.append(subprocess.Popen(["just", "dev-frontend"]))
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# kill processes on ctrl-c
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import time
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while True:
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try:
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time.sleep(1)
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except KeyboardInterrupt:
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for p in processes:
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p.kill()
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break
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