mirror of https://github.com/python/cpython
104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
"""Print a summary of specialization stats for all files in the
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default stats folders.
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"""
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import collections
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import os.path
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import opcode
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if os.name == "nt":
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DEFAULT_DIR = "c:\\temp\\py_stats\\"
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else:
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DEFAULT_DIR = "/tmp/py_stats/"
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#Create list of all instruction names
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specialized = iter(opcode._specialized_instructions)
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opname = ["<0>"]
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for name in opcode.opname[1:]:
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if name.startswith("<"):
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try:
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name = next(specialized)
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except StopIteration:
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pass
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opname.append(name)
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TOTAL = "specialization.deferred", "specialization.hit", "specialization.miss", "execution_count"
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def print_specialization_stats(name, family_stats):
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if "specialization.deferred" not in family_stats:
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return
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total = sum(family_stats[kind] for kind in TOTAL)
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if total == 0:
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return
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print(name+":")
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for key in sorted(family_stats):
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if key.startswith("specialization.failure_kinds"):
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continue
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if key.startswith("specialization."):
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label = key[len("specialization."):]
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elif key == "execution_count":
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label = "unquickened"
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if key not in ("specialization.success", "specialization.failure"):
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print(f"{label:>12}:{family_stats[key]:>12} {100*family_stats[key]/total:0.1f}%")
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for key in ("specialization.success", "specialization.failure"):
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label = key[len("specialization."):]
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print(f" {label}:{family_stats.get(key, 0):>12}")
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total_failures = family_stats["specialization.failure"]
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failure_kinds = [ 0 ] * 30
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for key in family_stats:
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if not key.startswith("specialization.failure_kind"):
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continue
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_, index = key[:-1].split("[")
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index = int(index)
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failure_kinds[index] = family_stats[key]
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for index, value in enumerate(failure_kinds):
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if not value:
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continue
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print(f" kind {index:>2}: {value:>8} {100*value/total_failures:0.1f}%")
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def gather_stats():
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stats = collections.Counter()
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for filename in os.listdir(DEFAULT_DIR):
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with open(os.path.join(DEFAULT_DIR, filename)) as fd:
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for line in fd:
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key, value = line.split(":")
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key = key.strip()
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value = int(value.strip())
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stats[key] += value
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return stats
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def extract_opcode_stats(stats):
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opcode_stats = [ {} for _ in range(256) ]
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for key, value in stats.items():
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if not key.startswith("opcode"):
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continue
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n, _, rest = key[7:].partition("]")
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opcode_stats[int(n)][rest.strip(".")] = value
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return opcode_stats
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def main():
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stats = gather_stats()
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opcode_stats = extract_opcode_stats(stats)
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print("Execution counts:")
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counts = []
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total = 0
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for i, opcode_stat in enumerate(opcode_stats):
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if "execution_count" in opcode_stat:
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count = opcode_stat['execution_count']
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counts.append((count, opname[i]))
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total += count
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counts.sort(reverse=True)
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cummulative = 0
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for (count, name) in counts:
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cummulative += count
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print(f"{name}: {count} {100*count/total:0.1f}% {100*cummulative/total:0.1f}%")
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print("Specialization stats:")
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for i, opcode_stat in enumerate(opcode_stats):
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name = opname[i]
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print_specialization_stats(name, opcode_stat)
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if __name__ == "__main__":
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main()
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