Files
swift-mirror/benchmark/utils/convertToJSON.py
practicalswift 265835fdfc [Python] Use consistent import ordering for Python code
Ordering used:
1.) standard library imports
2.) third party imports
3.) local package imports

Each group is individually alphabetized.
2016-03-07 23:25:16 +01:00

90 lines
2.3 KiB
Python

#!/usr/bin/env python
# ===--- convertToJSON.py -------------------------------------------------===//
#
# This source file is part of the Swift.org open source project
#
# Copyright (c) 2014 - 2016 Apple Inc. and the Swift project authors
# Licensed under Apache License v2.0 with Runtime Library Exception
#
# See http://swift.org/LICENSE.txt for license information
# See http://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
#
# ===----------------------------------------------------------------------===//
# This script converts results from pre-commit benchmark tests to JSON.
# Usage: PrecommitBench_O | convertToJSON.py
#
# Input example:
# #,TEST,SAMPLES,MIN(ms),MAX(ms),MEAN(ms),SD(ms),MEDIAN(ms)
# 1,2Sum,1,1318,1318,1318,0,1318
# 2,Ackermann,1,805,805,805,0,805
#
# Totals,2,2123,2123,2123,0,0
#
# Output for this input:
# {
# "Machine": {},
# "Run": {},
# "Tests": [
# {
# "Data": [
# 1318
# ],
# "Info": {},
# "Name": [
# "2Sum"
# ]
# },
# {
# "Data": [
# 805
# ],
# "Info": {},
# "Name": [
# "Ackermann"
# ]
# },
# {
# "Data": [
# 2123
# ],
# "Info": {},
# "Name": [
# "Totals"
# ]
# }
# ]
# }
import json
import re
import sys
# Parse lines like this
# #,TEST,SAMPLES,MIN(ms),MAX(ms),MEAN(ms),SD(ms),MEDIAN(ms)
SCORERE = re.compile(r"(\d+),[ \t]*(\w+),[ \t]*([\d.]+),[ \t]*([\d.]+)")
# The Totals line would be parsed like this.
TOTALRE = re.compile(r"()(Totals),[ \t]*([\d.]+),[ \t]*([\d.]+)")
KEYGROUP = 2
VALGROUP = 4
if __name__ == "__main__":
data = {}
data['Tests'] = []
data['Machine'] = {}
data['Run'] = {}
for line in sys.stdin:
m = SCORERE.match(line)
if not m:
m = TOTALRE.match(line)
if not m:
continue
test = {}
test['Data'] = [int(m.group(VALGROUP))]
test['Info'] = {}
test['Name'] = [m.group(KEYGROUP)]
data['Tests'].append(test)
print(json.dumps(data, sort_keys=True, indent=4))