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[remote "origin"]
	url = [email protected]:DataDog/dd-source.git
        #fetch = +refs/heads/*:refs/remotes/origin/*
        fetch = +refs/heads/ebnull/*:refs/remotes/origin/ebnull/*
        fetch = +refs/heads/spr/ebnull/*:refs/remotes/origin/spr/ebnull/*
        fetch = +refs/heads/main:refs/remotes/origin/main
	#fetch = +refs/heads/wip:refs/remotes/origin/wip
	tagOpt = --no-tags
[branch "main"]
	remote = origin

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# This is a systemd user service
#
[Unit]
Description=Start krfb
After=graphical-session.target

[Service]
Type=exec
ExecStart=krfb --display $DISPLAY --nodialog
Restart=always

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#!/bin/bash

token() {
  echo -n 'Authorization: Bearer YOUR_TOKEN_HERE'
}

acurl() {
  curl \
    -H 'tz: America/New_York' \
    -H "$(token)" \

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import subprocess
import signal

def pipeline(cmds, first_stdin=None, last_stdout=None):
    """Pipe together programs using subprocess"""
    pcount = len(cmds)
    plist = []
    for i, cmd in enumerate(cmds):
        stdin = None
        stdout = None

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__all__ = (
    FormatMessageSystem,
    LCID_ENGLISH,
    LCID_NEUTRAL,
)

import ctypes
import ctypes.wintypes

LANG_NEUTRAL = 0x00

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import sys; import os; _p = os.path.join(sys.real_prefix, 'lib', 'site-packages'); sys.path.append(_p); import sip; import PyQt4; sys.path.remove(_p)

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import os
import sys

import ctypes

ES_AWAYMODE_REQUIRED = 0x00000040
ES_CONTINUOUS = 0x80000000 
ES_DISPLAY_REQUIRED = 0x2 #Forces the display to be on by resetting the display idle timer.
ES_SYSTEM_REQUIRED = 0x1 #Forces the system to be in the working state by resetting the system idle timer.

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#This file is a testcase of http://bugs.python.org/issue706263 with a workaround.
#Z:\>python 4096_tc.py
#Z:\>cat result.txt
#stdin: 0 stdout: 1 stderr: 2
#Bytes printed: 199998
#Z:\>pythonw 4096_tc.py
#Z:\>cat result.txt
#stdin: -2 stdout: -2 stderr: -2
#Bytes printed before exception was raised: 4096
#Traceback (most recent call last):

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import csv

class StreamedDataConverter(object):
    """A conversion description that can convert one list of data into a processed dict using the cols attribute.
   
    >>> class MyConverter(StreamedDataConverter):
    ...     cols = ['a', 'b', 'c']
    ... 
    >>> c = MyConverter(iter([[4,5,6],[6,7,8]]))
    >>> c.map_fieldnames(['a','b','c'])

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import os
import sys
import glob
import ctypes
import logging
log = logging.getLogger(__name__)

from collections import namedtuple

def path_iter(path, root=None, dirsortkey=None):