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name: datadog-agent
channels:
- !!python/unicode
  'defaults'
dependencies:
- !!python/unicode
  'enum34=1.1.6=py27_0'
- !!python/unicode
  'openssl=1.0.2j=vc9_0'
- !!python/unicode

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# (C) Datadog, Inc. 2010-2016
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)

# stdlib
from datetime import datetime
import _strptime # noqa
import os.path
from os import environ
import re

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#!/opt/datadog-agent/embedded/bin/python

import sys
import requests

if __name__ == "__main__":
  print("Using python interpreter at {}".format(sys.executable))
  print("Using requests version {}".format(requests.__version__))
  
  addr = sys.argv[1]

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# (C) Datadog, Inc. 2010-2016
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)

# stdlib
import time

# 3p
import dns.resolver

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# (C) Datadog, Inc. 2010-2016
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)

'''
As of zookeeper 3.4.0, the `mntr` admin command is provided for easy parsing of zookeeper stats.
This check first parses the `stat` admin command for a version number.
If the zookeeper version supports `mntr`, it is also parsed.

Duplicate information is being reported by both `mntr` and `stat` to keep backwards compatability.

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# (C) Datadog, Inc. 2010-2016
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)

# stdlib
from datetime import datetime, timedelta
from hashlib import md5
from Queue import Empty, Queue
import re
import ssl

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# (C) Datadog, Inc. 2010-2016
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)

'''
Redis checks
'''
# stdlib
from collections import defaultdict
import re

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""" Collect status information for Windows services
"""
# project
from checks import AgentCheck
from checks.wmi_check import WinWMICheck
from utils.containers import hash_mutable
from utils.timeout import TimeoutException


class WindowsService(WinWMICheck):

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from __future__ import print_function
import json
import subprocess
import argparse
import sys


def search_files(repo, data):
    positives = 0
    for entry in data:

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def pattern_filter(items, whitelist=None, blacklist=None, key=None):
    """This filters `items` by a regular expression `whitelist` and/or
    `blacklist`, with the `whitelist` taking precedence. An optional `key`
    function can be provided that will be passed each item.
    When you have only one type of list, consider using `pattern_whitelist`
    or `pattern_blacklist` for increased performance.
    """
    if (whitelist and blacklist):
      _pattern_filter_chain(items, whitelist, blacklist, key)
    elif whitelist: