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#!/usr/bin/env python3
#coding=utf-8

import subprocess
IP = subprocess.run("dig +short myip.opendns.com @resolver1.opendns.com".split(), stdout=subprocess.PIPE, stderr=subprocess.STDOUT).stdout.decode('UTF-8').split()[0]

print("IP:", IP)

# https://api.aliyun.com/new#/?product=Alidns&api=UpdateDomainRecord&params={}&tab=DEMO&lang=PYTHON

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help:
	@echo Put this script at the root of the git project.
	@echo
	@echo Add the following lines to the .gitignore file:
	@echo "    ""**/UV/**"
	@echo "    ""!**/UV/unversioned"
	@echo
	@echo Run
	@echo "    ""make unversioned"
	@echo to create the listings of unversioned files in

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virtualenv -p python3.7 venv
source venv/bin/activate
pip install pandas numpy sklearn joblib progressbar2 matplotlib

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# RA, 2020-01-01


from numpy import sqrt, exp
import numpy as np
from scipy.special import binom, erf
import matplotlib.pyplot as plt

# Values of b
bb = [0.1, 0.5, 1.5]

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# RA, 2020-01-02


from numpy import sqrt, exp, pi
import numpy as np
from scipy.special import binom
import matplotlib.pyplot as plt

fig: plt.Figure
ax: plt.Axes

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import numpy as np
import pandas as pd
import networkx as nx

import re

import json
import pickle

from pathlib import Path

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# RA, 2020-04-30

# Download exchange rates -- template

import json
import urllib.request
from retry import retry
from pathlib import Path

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# RA, 2020-09-12

# A look at the GSE60880:
#   Human Lung Fibroblasts treated with TGFbeta, IL1, EGF and small molecule inhibitors of TGFBR1 and p38.
#   HLF cells were incubated with each agent for 0.5 hours, 1 hour, 2 hours or 8 hours in standard conditions
#   before total RNA was prepared and hybridised to Affymetrix microarrays.
#   https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60880

from tcga.utils import download
download = download.to(rel_path="download")

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# Display a PDF file in 2x1 portrait format for printing
pdfjam --nup 2x1 --landscape "file.pdf" --outfile /dev/stdout | \
pdfjam --angle=90 /dev/stdin --outfile /dev/stdout | \
okular -

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% 2020-HS Intro Bio Computers
% SimBiology first script -- modified to index names of species

% The trick
index_of = containers.Map();
for i = 1 : length(BioComp_1.Species)
    index_of(BioComp_1.Species(i).Name) = i;
end

clear AB;