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60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
#!/usr/bin/python
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# This file is part of the Luau programming language and is licensed under MIT License; see LICENSE.txt for details
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# Given a heap snapshot, this tool gathers basic statistics about the allocated objects
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# To generate a snapshot, use luaC_dump, ideally preceded by luaC_fullgc
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import json
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import sys
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from collections import defaultdict
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def updatesize(d, k, s):
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oc, os = d.get(k, (0, 0))
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d[k] = (oc + 1, os + s)
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def sortedsize(p):
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return sorted(p, key = lambda s: s[1][1], reverse = True)
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with open(sys.argv[1]) as f:
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dump = json.load(f)
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heap = dump["objects"]
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type_addr = next((addr for addr,obj in heap.items() if obj["type"] == "string" and obj["data"] == "__type"), None)
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size_type = {}
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size_udata = {}
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size_category = {}
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for addr, obj in heap.items():
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updatesize(size_type, obj["type"], obj["size"])
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if obj.get("cat") != None:
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updatesize(size_category, str(obj["cat"]), obj["size"])
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if obj["type"] == "userdata" and "metatable" in obj:
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metatable = heap[obj["metatable"]]
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pairs = metatable.get("pairs", [])
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typemt = "unknown"
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for i in range(0, len(pairs), 2):
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if type_addr and pairs[i] == type_addr and pairs[i + 1] and heap[pairs[i + 1]]["type"] == "string":
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typemt = heap[pairs[i + 1]]["data"]
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updatesize(size_udata, typemt, obj["size"])
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print("objects by type:")
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for type, (count, size) in sortedsize(size_type.items()):
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print(type.ljust(10), str(size).rjust(8), "bytes", str(count).rjust(5), "objects")
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print()
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print("userdata by __type:")
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for type, (count, size) in sortedsize(size_udata.items()):
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print(type.ljust(20), str(size).rjust(8), "bytes", str(count).rjust(5), "objects")
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if len(size_category) != 0:
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print()
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print("objects by category:")
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for type, (count, size) in sortedsize(size_category.items()):
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name = dump["stats"]["categories"][type]["name"]
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print(name.ljust(30), str(size).rjust(8), "bytes", str(count).rjust(5), "objects")
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