henryroe

#!/usr/bin/env python

# This script is released under an "MIT License"; see https://opensource.org/licenses/MIT 
# The MIT License (MIT)
# Copyright (c) 2016 Henry Roe (hroe@hroe.me)
# 
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
# 
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
# 

henryroe

#!/bin/bash

# This script is released under an "MIT License"; see https://opensource.org/licenses/MIT 
# The MIT License (MIT)
# Copyright (c) 2016 Henry Roe (hroe@hroe.me)
# 
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
# 
# The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
# 

henryroe

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<array>
	<dict>
		<key>Activate</key>
		<string>Normal</string>
		<key>IsActive</key>
		<true/>
		<key>Macros</key>

henryroe

set outputPath to choose folder

tell application "Mail"
	set curMessage to selection
	set listAttachments to mail attachment of item 1 of curMessage
	set curMessageDate to date received of item 1 of curMessage
	set dateStr to (rich text -4 thru -1 of ("0000" & (year of curMessageDate))) & "-" & ¬
		(rich text -2 thru -1 of ("00" & ((month of curMessageDate) as integer))) & "-" & ¬
		(rich text -2 thru -1 of ("00" & (day of curMessageDate)))
	repeat with a from 1 to length of listAttachments

henryroe

class BadIdea():
    def __init__(self, history=[]):
        self.history = history

    def get_history(self):
        return self.history

    def append_history(self, input):
        self.history.append(input)

henryroe

import time
import os
import sys
import pickle
import numpy as np
import subprocess
from threading import Thread
from traits.api import HasTraits, String, Instance, Bool, on_trait_change, Long
from traitsui.api import View, Item, Handler
import psutil

henryroe

import wx

import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.image import AxesImage
from matplotlib.axes import Axes
from matplotlib.widgets import AxesWidget
import matplotlib.pyplot as plt

henryroe

max_award = 1e6  # above this amount just bin in to top bin
years_per_bin = 1.0 
award_bin_size = 50000
start_year = np.array([a.year + (a.month - 1)/12. for a in awards['StartDate']])
year_bins = np.arange(np.floor(start_year.min()), np.ceil(start_year.max())+1, years_per_bin)
awarded = np.array(awards['AwardedAmountToDate'])
awarded_mean_per_bin = np.zeros(year_bins.size - 1)
awarded_median_per_bin = np.zeros(year_bins.size - 1)
year_per_bin = np.zeros(year_bins.size - 1)
for i in np.arange(year_bins.size - 1):

henryroe

max_award_per_year = 3e5  # above this amount just bin in to top bin
years_per_bin = 1.0 
award_bin_size = 10000
start_year = np.array([a.year + (a.month - 1)/12. for a in awards['StartDate']])
year_bins = np.arange(np.floor(start_year.min()), np.ceil(start_year.max())+1, years_per_bin)
awarded_per_year = np.array(awards['AwardedAmountToDate']/awards['DurationYears'])
awarded_per_year_mean_per_bin = np.zeros(year_bins.size - 1)
awarded_per_year_median_per_bin = np.zeros(year_bins.size - 1)
year_per_bin = np.zeros(year_bins.size - 1)
for i in np.arange(year_bins.size - 1):

henryroe

import pandas
import numpy as np
awards = pandas.read_csv("awards_dump_2014-06-20.csv",
                         parse_dates=['StartDate', 'LastAmendmentDate', 'ExpirationDate', 
                                      'AwardedAmountToDate'],
                         converters={'AwardedAmountToDate': lambda x: 
                                     float(x.replace('$', '').replace(',', ''))},
                         dtype={'AwardedAmountToDate':np.float64})
awards['DurationYears'] = ((awards['ExpirationDate'] - awards['StartDate']) / 
                           (365.25 * np.timedelta64(1, 'D')))