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#!/usr/bin/env python

import socket
import pickle
import time

TCP_IP_PORT = '192.168.1.8', 5005
BUFFER_SIZE = 1024
RMSG = "recvd."

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#!/usr/bin/env python

'''
Set final grades
Henry Schreiner
Version 1.5

This requires Anaconda, or the following:
* Python 2.7 or 3.3+
* Numpy

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#!/usr/bin/env python3

from plumbum import local, cli, FG, BG, TF, ProcessExecutionError, colors
from plumbum.cmd import tput, git
from contextlib import contextmanager
from functools import partial

# This can be hard coded to a repo location, or cwd, etc.
# REPOLOC = local.path(__file__) / '..'
REPOLOC = local.env.home / 'git' 

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Auto-deploying Doxygen documentation to gh-pages with Travis CI

This explains how to setup for GitHub projects which automatically generates Doxygen code documentation and publishes the documentation to the gh-pages branch using Travis CI. This way only the source files need to be pushed to GitHub and the gh-pages branch is automatically updated with the generated Doxygen documentation.

Sign up for Travis CI and add your project

Get an account at Travis CI. Turn on Travis for your repository in question, using the Travis control panel.

Create a clean gh-pages branch

To create a clean gh-pages branch, with no commit history, from the master branch enter the code below in the Git Shell. This will create a gh-pages branch with one file, the README.md in it. It doesn't really matter what file is uploaded in it since it will be overwritten when the automatically generated documentation is published to th

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// Taken from LCG ROOT MathLib
// License info:
// Authors: Andras Zsenei & Lorenzo Moneta   06/2005

/**********************************************************************
 *                                                                    *
 * Copyright (c) 2005 , LCG ROOT MathLib Team                         *
 *                                                                    *
 *                                                                    *
 **********************************************************************/

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import numbers
import math

import numpy

class Binning:
    "Abstract superclass of all binning types. Only Regular is implemented."

    def __init__(self, *args, **kwargs):
        raise NotImplementedError

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#!/usr/bin/env python3

from argparse import ArgumentParser
from pathlib import Path
from textwrap import indent
import curses
import unicodedata

FOLDER_OPEN = unicodedata.lookup('Open File Folder')
FOLDER_CLOSED = unicodedata.lookup('File Folder')

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