merge python scripts
This commit is contained in:
fixminer
@@ -0,0 +1,748 @@
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import logging
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import sys
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import gzip
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import numpy as np
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from tqdm import tqdm
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import shutil
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import itertools
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# COMMIT_FOLDER = 'commits/'
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from os import listdir
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import re
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import pandas as pd
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from os.path import isfile, join, isdir
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import pickle as p
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from subprocess import Popen, PIPE
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from subprocess import CalledProcessError
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from subprocess import TimeoutExpired
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import pickle as p
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import os
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import concurrent.futures
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import time
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import math
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from collections import Counter
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import datetime
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import subprocess
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sourceCodeColumns = ['packageName', 'className', 'methodNames', 'formalParameter',
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'methodInvocation', 'memberReference', 'documentation', 'literal', 'rawSource', 'hunks',
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'commitLogs', 'classNameExt']
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def nap():
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time.sleep(1)
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def setLogg():
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# logging.basicConfig(filename='app.log', filemode='w',level=logging.DEBUG)
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root = logging.getLogger()
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root.setLevel(logging.DEBUG)
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ch = logging.StreamHandler(sys.stdout)
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ch.setLevel(logging.WARNING)
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formatter = logging.Formatter('%(asctime)s - %(process)d - %(levelname)s - %(filename)s:%(funcName)s - %(message)s')
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ch.setFormatter(formatter)
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# ch.addFilter(lambda record: record.levelno <= logging.)
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root.addHandler(ch)
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# # 2 handlers for the same logger:
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# h1 = logging.StreamHandler(sys.stdout)
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# h1.setLevel(logging.DEBUG)
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# # filter out everything that is above INFO level (WARN, ERROR, ...)
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# h1.addFilter(lambda record: record.levelno <= logging.INFO)
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# h1.setFormatter(formatter)
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# root.addHandler(h1)
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h2 = logging.FileHandler(filename='app.log', mode='w')
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# take only warnings and error logs
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h2.setLevel(logging.DEBUG)
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h2.setFormatter(formatter)
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root.addHandler(h2)
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def setEnv(args):
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# env = args.env
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# logging.info('Environment: %s',env)
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os.environ["ROOT_DIR"] = args.root
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sys.path.append(args.root)
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import yaml
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if os.uname().nodename != '':
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with open(join(os.environ["ROOT_DIR"], os.uname().nodename + ".config.yml"), 'r') as ymlfile:
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cfg = yaml.load(ymlfile)
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else:
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with open(join(os.environ["ROOT_DIR"], "config.yml"), 'r') as ymlfile:
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cfg = yaml.load(ymlfile)
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# for section in cfg:
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# print(section)
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# print(cfg['mysql'])
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# print(cfg['other'])
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# os.environ["JDK7"] = cfg['java']['7home']
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os.environ["JDK8"] = cfg['java']['8home']
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os.environ["spinfer"] = cfg['spinfer']['home']
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os.environ["coccinelle"] = cfg['coccinelle']['home']
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os.environ["dataset"] = cfg['dataset']['home']
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os.environ["REPO_PATH"] = cfg['dataset']['repo']
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os.environ["DATA_PATH"] = cfg['fixminer']['datapath']
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os.environ["PROJECT_TYPE"] = cfg['fixminer']['projectType']
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# import yaml
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#
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# with open(join(os.environ["ROOT_DIR"],"config.yml"), 'r') as ymlfile:
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# cfg = yaml.load(ymlfile)
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#
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# # for section in cfg:
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# # print(section)
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# # print(cfg['mysql'])
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# # print(cfg['other'])
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#
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# os.environ["JDK7"] = cfg['java']['7home']
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# os.environ["JDK8"] = cfg['java']['8home']
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# os.environ["D4JHOME"] = cfg['defects4j']['home']
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os.environ["CODE_PATH"] = join(os.environ["ROOT_DIR"],'code/')
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# os.environ["DATA_PATH"] = join(os.environ["ROOT_DIR"],'data/')
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# os.environ["REPO_PATH"] = join(os.environ["DATA_PATH"], 'gitrepo/')
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os.environ["COMMIT_DFS"]= join(os.environ["DATA_PATH"],'commitsDF/')
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os.environ["SIMI_DIR"]= join(os.environ["DATA_PATH"],'simi/')
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os.environ["DTM_PATH"] = join(os.environ["DATA_PATH"], 'dtm/')
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os.environ["SIMI_SINGLE"] = join(os.environ["DATA_PATH"], 'simiSingle/')
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os.environ["FEATURE_DIR"] = join(os.environ["DATA_PATH"],'features/')
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os.environ["BUG_POINT"] = join(os.environ["DATA_PATH"], 'bugPoints/')
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os.environ["DEFECTS4J"] = join(os.environ["DATA_PATH"], 'defects4jdata/')
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os.environ["BUG_REPORT"] = join(os.environ["DATA_PATH"], 'bugReports/')
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os.environ["BUG_REPORT_FEATURES"] = join(os.environ["DATA_PATH"], 'bugReportFeatures/')
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# os.environ["PARSED_DIR"] = join(os.environ["CODE_PATH"], 'parsedFilesSingle/')
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# os.environ["PARSED_M_DIR"] = join(os.environ["CODE_PATH"], 'parsedFilesMulti/')
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os.environ["PARSED"] = join(os.environ["DATA_PATH"], 'parsedPj/')
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os.environ["PARSED_DIR"] = join(os.environ["DATA_PATH"], 'parsedFilesSingle/')
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os.environ["COMMIT_FOLDER"] = join(os.environ["DATA_PATH"], 'commits/')
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os.environ["CLASSIFIER_DIR"] = join(os.environ["DATA_PATH"], 'classifiers/')
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os.environ["PREDICTION_DIR"] = join(os.environ["DATA_PATH"], 'predictions/')
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os.environ["DATASET_DIR"] = join(os.environ["DATA_PATH"], 'datasets/')
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os.environ["REMOTE_PATH"] = '/Volumes/Samsung_T5/data'
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logging.info('ROOT_DIR : %s', os.environ["ROOT_DIR"])
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logging.info('REPO_PATH : %s', os.environ["REPO_PATH"])
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logging.info('CODE_PATH : %s', os.environ["CODE_PATH"])
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logging.info('COMMIT_DFS : %s', os.environ["COMMIT_DFS"])
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# logging.info('SIMI_DIR : %s', os.environ["SIMI_DIR"])
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logging.info('BUG_POINT : %s', os.environ["BUG_POINT"])
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# logging.info('PARSED_DIR : %s', os.environ["PARSED_DIR"])
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logging.info('COMMIT_FOLDER : %s', os.environ["COMMIT_FOLDER"])
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# logging.info('DTM_PATH : %s', os.environ["DTM_PATH"])
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# logging.info('SIMI_SINGLE : %s', os.environ["SIMI_SINGLE"])
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logging.info('FEATURE_DIR : %s', os.environ["FEATURE_DIR"])
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logging.info('CLASSIFIER_DIR : %s', os.environ["CLASSIFIER_DIR"])
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logging.info('PREDICTION_DIR : %s', os.environ["PREDICTION_DIR"])
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logging.info('DATASET_DIR : %s', os.environ["DATASET_DIR"])
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def getRun():
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import argparse
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parser = argparse.ArgumentParser(description='')
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# parser.add_argument('-subject', dest='subject', help='Environment')
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parser.add_argument('-root', dest='root', help='root folder')
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parser.add_argument('-job',dest='job',help='job name')
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args = parser.parse_args()
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if args.root is None or args.job is None:
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parser.print_help()
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raise AttributeError
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return args
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def shellCallTemplate(cmd,enc='utf-8'):
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try:
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logging.info(cmd)
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with Popen(cmd, stdout=PIPE, stderr=PIPE, shell=True,encoding=enc) as p:
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output, errors = p.communicate()
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# print(output)
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if errors:
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m = re.search('unknown revision or path not in the working tree', errors)
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if not m:
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raise CalledProcessError(errors, '-1')
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output
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except CalledProcessError as e:
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logging.error(errors)
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except Exception as e:
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logging.error(e)
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return output
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def getChildMem(pid,children):
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out = subprocess.Popen(['pgrep', '-P', str(pid)],
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stdout=subprocess.PIPE).communicate()[0].split(b'\n')
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child = out[0].decode()
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if child !='':
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children.append(child)
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getChildMem(child,children)
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else:
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return children
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def getAllChildMe(pid):
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childrenProcess = []
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getChildMem(pid,childrenProcess)
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# if child == '':
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return sum(map(memory_usage_ps,childrenProcess)) + memory_usage_ps(pid)
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# else:
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# return memory_usage_ps(child) + memory_usage_ps(pid)
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def memory_usage_ps(pid):
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import subprocess
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out = subprocess.Popen(['ps', 'v', '-p', str(pid)],
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stdout=subprocess.PIPE).communicate()[0].split(b'\n')
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vsz_index = out[0].split().index(b'RSS')
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if out[1].decode() != '':
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mem = float(out[1].split()[vsz_index]) / 1024
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else:
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mem = float(0)
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return mem
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def raiseTime(cmd,timeout,my_timer):
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my_timer.cancel()
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raise TimeoutExpired(cmd, timeout)
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def killP(pid):
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out = subprocess.Popen(['kill', str(pid)],
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stdout=subprocess.PIPE).communicate()[0].split(b'\n')
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out
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def shellGitCheckout(cmd,timeout =600,enc='utf-8'):
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output = ''
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errors = ''
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# logging.debug(cmd)
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with Popen(cmd, stdout=PIPE, stderr=PIPE, shell=True,encoding=enc) as p:
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try:
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output, errors = p.communicate(timeout=timeout)
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# print(output)
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logging.debug(cmd + '\t' +output)
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# logging.info(errors)
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if errors:
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raise CalledProcessError(errors, '-1')
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output
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except CalledProcessError as e:
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logging.debug(cmd +'\t'+ errors)
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except TimeoutExpired as t:
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p.terminate()
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p.communicate()
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# p.kill()
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logging.warning(cmd +'\t'+str(t))
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return output,errors
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def callSpinfer(cmd,timeout =600,enc='utf-8'):
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output = ''
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errors = ''
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# logging.debug(cmd)
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my_timer = None
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with Popen(cmd, stdout=PIPE, stderr=PIPE, shell=True,encoding=enc) as p:
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try:
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start = datetime.datetime.now()
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memusage = getAllChildMe(p.pid)
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# isExit = False
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while(memusage != 0.0):
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end = datetime.datetime.now()
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elapsed = end - start
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if(elapsed.seconds > timeout):
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raise TimeoutExpired(cmd,timeout)
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memusage = getAllChildMe(p.pid)
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# print(str(p.pid) + " ; " + str(memusage))
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if memusage > 2000:
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# isExit = True
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raise TimeoutExpired(cmd,timeout)
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output, errors = p.communicate(timeout=timeout)
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# print(output)
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logging.debug(cmd + '\t' +output)
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# logging.info(errors)
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if errors:
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raise CalledProcessError(errors, '-1')
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output
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except CalledProcessError as e:
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logging.debug(cmd +'\t'+ errors)
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except TimeoutExpired as t:
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# my_timer.cancel()
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childrenProcess = []
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getChildMem(p.pid, childrenProcess)
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[killP(i) for i in childrenProcess]
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p.terminate()
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p.communicate()
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# p.kill()
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logging.warning(cmd +'\t'+str(t))
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return output,errors
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def save_zipped_pickle(obj, filename, protocol=-1):
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with gzip.open(filename, 'wb') as f:
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p.dump(obj, f, protocol)
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def load_zipped_pickle(filename):
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with gzip.open(filename, 'rb') as f:
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loaded_object = p.load(f)
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return loaded_object
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def file2path(file):
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count = file.count(".") - 1
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file = file.replace('.', '/', count)
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return file
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def isFileInList(file,checkList):
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for f in checkList:
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if f in file:
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return True
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return False
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# [i for i in ansFiles if 'org/fusesource/esb/itests/basic/fabric/EsbFeatureTest.java' in i]
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def get_venn_sections(sets):
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"""
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Given a list of sets, return a new list of sets with all the possible
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mutually exclusive overlapping combinations of those sets. Another way
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to think of this is the mutually exclusive sections of a venn diagram
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of the sets. If the original list has N sets, the returned list will
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have (2**N)-1 sets.
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Parameters
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----------
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sets : list of set
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Returns
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-------
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combinations : list of tuple
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tag : str
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Binary string representing which sets are included / excluded in
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the combination.
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set : set
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The set formed by the overlapping input sets.
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"""
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num_combinations = 2 ** len(sets)
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bit_flags = [2 ** n for n in range(len(sets))]
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flags_zip_sets = [z for z in zip(bit_flags, sets)]
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#combo_sets = []
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combo_sets = dict()
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for bits in range(num_combinations - 1, 0, -1):
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include_sets = [s for flag, s in flags_zip_sets if bits & flag]
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exclude_sets = [s for flag, s in flags_zip_sets if not bits & flag]
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combo = set.intersection(*include_sets)
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combo = set.difference(combo, *exclude_sets)
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tag = ''.join([str(int((bits & flag) > 0)) for flag in bit_flags])
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#combo_sets.append((tag, combo))
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combo_sets[tag] = combo
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return combo_sets
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def pairwise(iterable):
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"s -> (s0,s1), (s1,s2), (s2, s3), ..."
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a, b = itertools.tee(iterable)
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next(b, None)
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return zip(a, b)
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def RR_XGB(x,ao,column):
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if x[ao] == 1:
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return (1.0 / (x[column]))
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elif pd.isnull(x[ao]):
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return None
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else:
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return 0
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def parallelRunNo(coreFun,elements,*args):
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with concurrent.futures.ProcessPoolExecutor(max_workers=int(8)) as executor:
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try:
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futures = {executor.submit(coreFun, l,*args): l for l in elements}
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kwargs = {
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'total': len(futures),
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'unit': 'files',
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'unit_scale': True,
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'leave': False
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}
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for future in tqdm(concurrent.futures.as_completed(futures), **kwargs):
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url = futures[future]
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try:
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data = future.result(timeout=None)
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except Exception as exc:
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logging.error('%r generated an exception: %s' % (url, exc))
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raise
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except Exception as e:
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logging.error(e)
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executor.shutdown()
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raise
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def parallelRun(coreFun,elements,*args,max_workers=os.cpu_count()):
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with concurrent.futures.ProcessPoolExecutor(max_workers=max_workers) as executor:
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try:
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futures = {executor.submit(coreFun, l,*args): l for l in elements}
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kwargs = {
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'total': len(futures),
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'unit': 'files',
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'unit_scale': True,
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'leave': False
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}
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for future in tqdm(concurrent.futures.as_completed(futures), **kwargs):
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url = futures[future]
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try:
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data = future.result()
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except Exception as exc:
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logging.error('%r generated an exception: %s' % (url, exc))
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raise
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except Exception as e:
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logging.error(e)
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executor.shutdown()
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raise
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def parallelRunMerge(coreFun,elements,*args,max_workers=os.cpu_count()):
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dataL = []
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with concurrent.futures.ProcessPoolExecutor(max_workers=max_workers) as executor:
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try:
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futures = {executor.submit(coreFun, l,*args): l for l in elements}
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kwargs = {
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'total': len(futures),
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'unit': 'files',
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'unit_scale': True,
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'leave': False
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}
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for future in tqdm(concurrent.futures.as_completed(futures), **kwargs):
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url = futures[future]
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try:
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data = future.result()
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dataL.append(data)
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except Exception as exc:
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logging.error('%r generated an exception: %s' % (url, exc))
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raise
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return dataL
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except Exception as e:
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logging.error(e)
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executor.shutdown()
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raise
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def parallelRunMergeNew(coreFun,elements,*args,max_workers=os.cpu_count()):
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||||
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res = []
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with concurrent.futures.ProcessPoolExecutor(max_workers=max_workers) as executor:
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||||
try:
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futures = {executor.submit(coreFun, l,*args): l for l in elements}
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||||
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||||
kwargs = {
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'total': len(futures),
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||||
'unit': 'files',
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||||
'unit_scale': True,
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||||
'leave': False
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||||
}
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||||
|
||||
for future in tqdm(concurrent.futures.as_completed(futures), **kwargs):
|
||||
url = futures[future]
|
||||
try:
|
||||
data = future.result()
|
||||
res.append(data)
|
||||
except Exception as exc:
|
||||
logging.error('%r generated an exception: %s' % (url, exc))
|
||||
raise
|
||||
|
||||
except Exception as e:
|
||||
logging.error(e)
|
||||
executor.shutdown()
|
||||
raise
|
||||
aDF = pd.concat(res)
|
||||
return aDF
|
||||
|
||||
def get_filepaths(directory,extension):
|
||||
|
||||
file_paths = [] # List which will store all of the full filepaths.\n,
|
||||
exclude = '.git'
|
||||
# Walk the tree.\n,
|
||||
for root, directories, files in os.walk(directory):
|
||||
directories[:] = [d for d in directories if d not in exclude]
|
||||
# java = [i for i in files if i.endswith(extension)]
|
||||
java = [i for i in files if bool(re.search(extension, i))]
|
||||
|
||||
for filename in java:
|
||||
# Join the two strings in order to form the full filepath.\n,
|
||||
filepath = os.path.join(root, filename)
|
||||
file_paths.append(filepath) # Add it to the list.\n,
|
||||
|
||||
return file_paths # Self-explanatory.\n,
|
||||
|
||||
def get_class_weights(y):
|
||||
counter = Counter(y)
|
||||
majority = max(counter.values())
|
||||
return {cls: round(float(majority)/float(count), 2) for cls, count in counter.items()}
|
||||
|
||||
|
||||
def stopDB(dbDir,portInner,dbName):
|
||||
cmd = "bash " + dbDir + "/" + "stopServer.sh " + " " + portInner;
|
||||
|
||||
o, e = shellGitCheckout(cmd)
|
||||
logging.info(o)
|
||||
|
||||
|
||||
|
||||
def startDB(dbDir,portInner,projectType):
|
||||
dbName = "dumps-"+projectType+".rdb"
|
||||
# portInner = '6380'
|
||||
cmd = "bash " + dbDir + "/" + "startServer.sh " + dbDir + " "+dbName+ " " + portInner;
|
||||
|
||||
o, e = shellGitCheckout(cmd)
|
||||
ping = "redis-cli -p "+portInner+" ping"
|
||||
o, e = shellGitCheckout(ping)
|
||||
m = re.search('PONG', o)
|
||||
|
||||
while not m:
|
||||
time.sleep(10)
|
||||
logging.info('Waiting for checkout')
|
||||
o, e = shellGitCheckout(ping)
|
||||
m = re.search('PONG', o)
|
||||
print(o)
|
||||
|
||||
|
||||
def unique_everseen(iterable, key=None):
|
||||
"List unique elements, preserving order. Remember all elements ever seen."
|
||||
# unique_everseen('AAAABBBCCDAABBB') --> A B C D
|
||||
# unique_everseen('ABBCcAD', str.lower) --> A B C D
|
||||
seen = set()
|
||||
seen_add = seen.add
|
||||
if key is None:
|
||||
for element in itertools.filterfalse(seen.__contains__, iterable):
|
||||
seen_add(element)
|
||||
yield element
|
||||
else:
|
||||
for element in iterable:
|
||||
k = key(element)
|
||||
if k not in seen:
|
||||
seen_add(k)
|
||||
yield element
|
||||
|
||||
def plotBox(yList,labels, fn, rotate=False,limit=True):
|
||||
import matplotlib
|
||||
matplotlib.use("TkAgg")
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
|
||||
|
||||
fig = plt.figure()
|
||||
ax1 = fig.add_subplot(111)
|
||||
meanpointsprops = dict(markeredgecolor ='blue',markerfacecolor=
|
||||
'blue')
|
||||
|
||||
flierprops = dict(markeredgecolor ='black',markerfacecolor=
|
||||
'black',marker='.',markersize=2)
|
||||
box = ax1.boxplot(yList, 0, flierprops=flierprops,widths=0.5, showmeans=False, vert=True,meanprops=meanpointsprops)
|
||||
for line in box['medians']:
|
||||
x,y = line.get_xydata()[1]
|
||||
line.set(linewidth=3)
|
||||
line.set_color('blue')
|
||||
# plt.scatter(labels, yList, color='r')
|
||||
# plt.plot(labels, yList, '-o')
|
||||
# ax1.boxplot(yList,notch=False, sym='', vert=True, whis=1.5,
|
||||
# positions=None, widths=None, patch_artist=True,
|
||||
# bootstrap=None, usermedians=None, conf_intervals=None)
|
||||
if rotate:
|
||||
ax1.set_xticklabels(labels, rotation=45, ha='right')
|
||||
else:
|
||||
# ax1.set_xticklabels(labels)
|
||||
# ax1.set_xticklabels(None)
|
||||
ax1.get_xaxis().set_ticklabels([])
|
||||
# sns.boxplot(yList, ax=ax1)
|
||||
if limit:
|
||||
ax1.set_ylim(top=1.1,bottom=0)
|
||||
ax1.yaxis.set_ticks([0.0,1.0])
|
||||
else:
|
||||
ax1.set_yscale('log')
|
||||
ax1.set_xlabel('Cluster Member Size')
|
||||
ax1.set_ylabel('Folds')
|
||||
plt.ion()
|
||||
|
||||
plt.subplots_adjust(wspace=0, hspace=0)
|
||||
fig = plt.gcf()
|
||||
|
||||
# fig.tight_layout()
|
||||
fig.set_size_inches(7, 1, forward=True)
|
||||
fig.savefig(fn, dpi=100, bbox_inches='tight')
|
||||
|
||||
|
||||
plt.show()
|
||||
|
||||
def plotBox2(ys,labels, fn,means, rotate=False,limit=True):
|
||||
|
||||
|
||||
import matplotlib
|
||||
matplotlib.use("TkAgg")
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
|
||||
fig,axes = plt.subplots(nrows=3,ncols=1)
|
||||
|
||||
for ax1,yList,l,l2,mean in zip(axes.flat,ys,labels,['Shapes','Actions','Tokens'],means):
|
||||
# plt.setp(ax1.get_xticks(),visible=False)
|
||||
# ax1 = fig.add_subplot(111)
|
||||
meanpointsprops = dict(markeredgecolor ='blue',markerfacecolor=
|
||||
'blue')
|
||||
|
||||
flierprops = dict(markeredgecolor ='black',markerfacecolor=
|
||||
'black',marker='.',markersize=2)
|
||||
box = ax1.boxplot(yList, 0, flierprops=flierprops,widths=0.5, showmeans=False, vert=True,meanprops=meanpointsprops)
|
||||
|
||||
ax1.axhline(linewidth=2, color='r',y=mean)
|
||||
|
||||
for line in box['medians']:
|
||||
x,y = line.get_xydata()[1]
|
||||
line.set(linewidth=3)
|
||||
line.set_color('blue')
|
||||
# plt.scatter(labels, yList, color='r')
|
||||
# plt.plot(labels, yList, '-o')
|
||||
# ax1.boxplot(yList,notch=False, sym='', vert=True, whis=1.5,
|
||||
# positions=None, widths=None, patch_artist=True,
|
||||
# bootstrap=None, usermedians=None, conf_intervals=None)
|
||||
if rotate:
|
||||
ax1.set_xticklabels(l, rotation=45, ha='right')
|
||||
else:
|
||||
# ax1.set_xticklabels(labels)
|
||||
# ax1.set_xticklabels(None)
|
||||
ax1.get_xaxis().set_ticklabels([])
|
||||
# ax1.get_xaxis().set_ticks([])
|
||||
# sns.boxplot(yList, ax=ax1)
|
||||
if limit:
|
||||
if l2 !='Tokens':
|
||||
ax1.set_ylim(top=1,bottom=0)
|
||||
else:
|
||||
ax1.set_ylim(top=1.1, bottom=0)
|
||||
ax1.yaxis.set_ticks([0.0,mean,0.5,1.0])
|
||||
ax1.yaxis.set_ticklabels([0,'',0.5,1])
|
||||
ax1.tick_params(direction='out', length=6, width=2, axis='y',
|
||||
grid_color='r', grid_alpha=0.5)
|
||||
|
||||
else:
|
||||
# ax1.set_yscale('log')
|
||||
ax1.set_xlabel('Cluster Member Size')
|
||||
ax1.set_ylabel('Folds')
|
||||
ax1.set_aspect('auto')
|
||||
|
||||
ax1.set_ylabel(l2)
|
||||
labels = ['C-'+str(i+1) for i in labels[0]]
|
||||
ax1.set_xticklabels(labels)
|
||||
ax1.set_xticklabels(labels, rotation=45, ha='right')
|
||||
# plt.setp(ax1.get_xticks(), visible=True)
|
||||
|
||||
ax1.set_xlabel('Clusters')
|
||||
# ax1.set_xlabel('Similarity')
|
||||
plt.ion()
|
||||
|
||||
plt.subplots_adjust(wspace=0, hspace=0.05)
|
||||
fig = plt.gcf()
|
||||
|
||||
|
||||
# fig.tight_layout()
|
||||
fig.set_size_inches(7, 7, forward=True)
|
||||
fig.savefig(fn, dpi=100, bbox_inches='tight')
|
||||
|
||||
|
||||
plt.show()
|
||||
|
||||
|
||||
def plotScatter(s1,s2,vs,label,limits,type):
|
||||
import matplotlib
|
||||
matplotlib.use("TkAgg")
|
||||
import matplotlib.pyplot as plt
|
||||
plt.figure(figsize=(2.5, 2.5))
|
||||
|
||||
# s1 = (df1[whichColumn]).apply(lambda x: round(Decimal(x), 3))
|
||||
# s2 = (df2[whichColumn]).apply(lambda x: round(Decimal(x), 3))
|
||||
plt.scatter(s1, s2, color='r')
|
||||
# plt.text(0.5, 0.25, '\\textbf{%s wins}' %
|
||||
# vs, ha='center', va='center', rotation=45)
|
||||
# plt.text(0.2, 0.5, '\\textbf{%s wins}' %
|
||||
# label, ha='center', va='center', rotation=45)
|
||||
# plt.title('%s vs. %s ' % (label, vs))
|
||||
ax = plt.gca()
|
||||
ax.grid(False)
|
||||
# ax.patch.set_alpha(0)
|
||||
ax.set_xlim([0, limits])
|
||||
ax.set_ylim([0, limits])
|
||||
start, end = ax.get_xlim()
|
||||
stepsize = 1
|
||||
ax.xaxis.set_ticks(np.arange(0, end, stepsize))
|
||||
ax.yaxis.set_ticks(np.arange(0, end, stepsize))
|
||||
x = np.linspace(start, end, limits+1)
|
||||
y = np.linspace(start, end, limits+1)
|
||||
ax.fill_between(x, y, end, facecolor='b', alpha=0.3)
|
||||
# plt.plot(np.linspace(0, 1, 10), np.linspace(0, 1, 10), lw=1)
|
||||
ax.spines['top'].set_visible(True)
|
||||
ax.spines['right'].set_visible(True)
|
||||
ax.spines['bottom'].set_visible(True)
|
||||
ax.spines['left'].set_visible(True)
|
||||
|
||||
ax.set_xlabel(vs)
|
||||
ax.set_ylabel(label)
|
||||
|
||||
plt.subplots_adjust(wspace=0, hspace=0)
|
||||
# fig = plt.gcf()
|
||||
# fig.set_size_inches(4, 4, forward=True)
|
||||
|
||||
plt.savefig(
|
||||
os.path.join(
|
||||
'scatter',
|
||||
'{}.pdf'.format(
|
||||
type).replace(' ', '-')
|
||||
),
|
||||
tight_bbox=True
|
||||
)
|
||||
|
||||
import threading
|
||||
class BackgroundTask(object):
|
||||
""" Threading example class
|
||||
The run() method will be started and it will run in the background
|
||||
until the application exits.
|
||||
"""
|
||||
|
||||
def __init__(self, model,PATH, interval=1):
|
||||
""" Constructor
|
||||
:type interval: int
|
||||
:param interval: Check interval, in seconds
|
||||
"""
|
||||
self.interval = interval
|
||||
self.model = model
|
||||
self.path = PATH
|
||||
|
||||
thread = threading.Thread(target=self.run, args=())
|
||||
thread.daemon = True # Daemonize thread
|
||||
thread.start() # Start the execution
|
||||
|
||||
def run(self):
|
||||
""" Method that runs forever """
|
||||
self.model.save_model(self.path,
|
||||
num_iteration=self.model.best_iteration)
|
||||
Reference in New Issue
Block a user