autocorr

from __future__ import print_function
import glob
from os import path
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from astropy import units as u
from astropy import constants as c

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#!/usr/bin/env python3

import argparse
import difflib
import subprocess


EMOJI_UNICODE = {
   '+1': '\U0001F44D',
   '-1': '\U0001F44E',

autocorr

# Here we import the numpy module to use arrays, and matplotlib for plotting.
# Pyplot is a sub-module of matplotlib designed to be a good interface for
# interactive plotting, matplotlib in general contains many sub-modules defining
# all sorts of behavior, from colors, fonts, to how tickmarks are rendered. We
# use the "as" keyword to give the modules an alias, so we don't import literally
# thousands of function names into the scope of the program (in IPython just type
# "np.<tab>" to see how many symbols are defined.
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt

autocorr

# Ripple Tank Demos
Website available at: http://www.falstad.com/ripple/ . Copy and paste the following entries
by going under "File -> Import From Text...", beginning from the "$" until the blank line.
One can use the two check-boxes on the right to stop the simulation and visualize the
amplitdues in 3D. The sliders on the right can be used to adjust the rate/speed of the
simulation and wavelength/frequency of the wave (under "Source Frequency").

Single point source. Point source limits to plane wave.
$ 1 512 64 10 0 668 0.048828125
s 2 257 45 0 0.466666 0 10 100 1 0

autocorr

#!/usr/bin/env python3

import itertools

import numpy as np

from matplotlib import patches
from matplotlib import pyplot as plt

from astropy import units as u

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#!/usr/bin/env python
"""
Execute tests to reproduce memory leaks from `ia.getregion`. See the functions
under the "Tests" banner near the bottom of the module for the tests to run.
Images with diameters in pixels greater than or equal to 3500 appear to cause
memory leaks. By default 50 calls are made to `ia.getregion`. The call itself
selects a bounding box encompassing the full image and selects one channel (the
second channel).

This file is meant to be run using `execfile` under CASA v5 and Python v2.7.

autocorr

# By Eric Koch

def half_table(table1_name, table2_name, 
               reverse1=False, reverse2=False,
               pivot=0.5):
    """
    Splice together two matplotlib color tables.
    """
    n_col = 256
    cmap1 = cm.get_cmap(table1_name, n_col)

autocorr

[hopperrace]
maxRank = 8
maxFile = 8
gold = g
silver = s
queen = f  # flag piece used for mandatory promotion
customPiece1 = l:mfFmfWmgQ  # non-capturing hopper
customPiece2 = p:fFmfW      # breakthrough pawn
startFen = 1slggls1/8/1pppppp1/8/8/1PPPPPP1/8/1SLGGLS1 w - - 0 1
extinctionValue = loss

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1slggls1/8/1pppppp1/8/8/1PPPPPP1/8/1SLGGLS1 w - - 0 1
1slggls1/8/1pppppp1/8/5P2/1PPPPP2/8/1SLGGLS1 b - - 1 1
2lggls1/2s5/1pppppp1/8/5P2/1PPPPP2/8/1SLGGLS1 w - - 2 2
2lggls1/2s5/1pppppp1/8/5P2/1PPPPP2/2S5/2LGGLS1 b - - 3 2
2l1gls1/2s1g3/1pppppp1/8/5P2/1PPPPP2/2S5/2LGGLS1 w - - 4 3
2lggls1/2s5/1pp1ppp1/3p4/5P2/1PPPPP2/2S5/2LGGLS1 w - - 4 3
2lggls1/2s5/1ppp1pp1/4p3/5P2/1PPPPP2/2S5/2LGGLS1 w - - 4 3
2lggls1/2s5/1pppppp1/8/5P2/1PPPPP2/5S2/1SLGGL2 b - - 3 2
2lggl2/2s2s2/1pppppp1/8/5P2/1PPPPP2/5S2/1SLGGL2 w - - 4 3

autocorr

#!/bin/bash

for input_file in *.svg
do
	stem="${input_file%%.*}"
	outname="${stem}_r"
	inkscape --actions "select-all;transform-rotate:180;export-filename:${outname}.svg;export-do" $input_file
done