chulman444

const fs = require("fs");

function createParser() {
    const ArgumentParser = require("argparse").ArgumentParser;
    const parser = new ArgumentParser({ });

    parser.addArgument(
        ['filepath'],
        {
            type: String,

chulman444

import sys, os, json, time
from examine_docx_elements import run as getDocxElements

def main():
	print("Started")
	rootdir = sys.argv[1]
	before = time.time()
	output = run(rootdir)
	after = time.time()
	print(output)

chulman444

try:
	from xml.etree.cElementTree import XML
except ImportError:
	from xml.etree.ElementTree import XML
import zipfile, re


"""
Module that extract text from MS XML Word document (.docx).
(Inspired by python-docx <https://github.com/mikemaccana/python-docx>)

chulman444

Environment.getExternalStorageDirectory()
 - /storage/emulated/0

Environment.getExternalStoragePublicDirectory("") // Error on `null`
 - /storage/emulated/0

Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_PICTURES)
 - /storage/emulated/0/Pictures

getExternalFilesDir(null) // Parameter "" returns the same

chulman444

class MyClass():
    def __init__(self):
        self.foo = "foo"

    # Ignored.
    def __getattr__(self, attribute):
        print("__getattr__ for {} called".format(attribute))

    def __getattribute__(self, attribute):
        print("__getattribute__ for {} called".format(attribute))

chulman444

# Refer to https://developers.google.com/api-client-library/python/
from apiclient.discovery import build
from httplib2 import Http
from oauth2client import file, client, tools
from googleapiclient.http import MediaFileUpload, MediaIoBaseDownload
import mimetypes, io
from pprint import pprint

class DriveAPI():
    def __init__(self):

chulman444

{
  "train_test_split": {
    "raw": [
      "outliers/outlier_removal_regression.py:23:from sklearn.cross_validation import train_test_split",
      "regression/finance_regression.py:30:from sklearn.cross_validation import train_test_split",
      "pca/eigenfaces.py:26:from sklearn.cross_validation import train_test_split",
      "final_project/poi_id.py.bak:52:from sklearn.cross_validation import train_test_split",
      "final_project/poi_id.py:67:    from sklearn.cross_validation import train_test_split",
      "validation/validate_poi.py:32:from sklearn.model_selection import train_test_split",
      "evaluation/validate_poi.py:32:from sklearn.model_selection import train_test_split",

chulman444

import matplotlib.pyplot as plt 
from sklearn.datasets import make_classification
from sklearn.decomposition import PCA 
import numpy as np

X1, Y2 = make_classification(n_features=2, n_informative=2, n_redundant=0,
    n_classes=1,
    n_clusters_per_class=1)

x0 = X1[:,0]

chulman444

import yaml

content = """First line

Second line

Third line"""

print("The following is the content")
print(content)

chulman444

Getting original file from a new or patched file from a diff file.

Instead of diff orig new > diff0 and keeping diff0, and original file,

diff new orig > diff0 then keep the new and diff0 and discard the original file.

Didn't take very long to think of this, but I may forget again.

Having this "I have to come up with a solution" feeling stresses me. ARCHIVED!