ReemRashwan

# pip install PyPDF2 
from PyPDF2 import PdfFileMerger

pdfs = ['file1.pdf', 'file2.pdf']

merger = PdfFileMerger()

for pdf in pdfs:
    merger.append(pdf)

ReemRashwan

/* 
JAR files to be added to shared-classes folder under server or integration node dir:
dom4j-1.6.1.jar
names.txt
poi-3.9-20121203.jar
poi-ooxml-3.9-20121203.jar
poi-ooxml-schemas-3.9-20121203.jar
xmlbeans-2.3.0.jar
*/

ReemRashwan

	CREATE FUNCTION isMadeOfOneChar(IN text CHAR, IN dividerChar CHAR) RETURNS BOOLEAN
	BEGIN
		DECLARE index INT 1;
		DECLARE textLength INT LENGTH(text);
		DECLARE currentChar CHAR;
		
		-- If empty string, return false
		IF textLength = 0 THEN 
			RETURN FALSE;
		END IF;

ReemRashwan

CREATE FUNCTION Main() RETURNS BOOLEAN
	BEGIN
		DECLARE message CHARACTER;
		
		-- \n in hex is 0x0a, we need to represent it as '\n'
		-- and encode it as UTF-8 whose CodingCharSetId is 1208
		DECLARE newlineChar CHAR CAST(CAST('X''0A''' AS BLOB) AS CHAR CCSID 1208);

		
		SET message = InputRoot.XMLNSC.text;

ReemRashwan

// usage: node index.js getUserRepos --username  userName

const fetch = require("node-fetch");
const yargs = require("yargs");
const path = require("path");

yargs.command({
	command: "getUserRepos",
	builder: {
		username: {

ReemRashwan

def create_dir(dirname):
    try:
        os.makedirs(dirname)
        print(f"Directory '{dirname}' created.") 
    except FileExistsError:
        print(f"Directory '{dirname}' already exists.") 

ReemRashwan

import numpy as np
import pandas as pd
import pydicom
import cv2
from sklearn.model_selection import train_test_split
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from keras_preprocessing.image.dataframe_iterator import DataFrameIterator

# tested on tf 2.1