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CREATE OR REPLACE PROCEDURE MANAGE_DEPARTMENT (
    p_dept_name IN VARCHAR2,
    p_dept_location IN VARCHAR2
) IS
    v_dept_id NUMBER;
    v_dept_name VARCHAR2(50);
BEGIN
    IF p_dept_name IS NULL OR LENGTH(p_dept_name) = 0 THEN
        -- Validate Department Name (Question D)
        RAISE_APPLICATION_ERROR(-20999, 'Department Name cannot be empty');

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# 50 - is the priority for chosing between `alternatives` available. 40 is default
sudo update-alternatives --install /usr/bin/x-terminal-emulator x-terminal-emulator $(which alacritty) 50
sudo update-alternatives --config x-terminal-emulator

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Class Abstractions

• DataFeed Class : Tracking each datafeed
• LogSummary Class : Tracking the log for each datafeed. (part of DataFeed object)

New Code Directory Style

• Instead of having code spread across core/generic, core/stages and the python files inside them, move all the class related abstractions to a single file datafeed.py and the "transformations" & "actions" level code into a single folder (can be divided by stage if need be).
• For the datafeeds, each one of them named after the feed (eg. "avent", "bos") has a package created in the {root_dir}/datafeeds directory. If custom logic is present for that feed, a file named based on the stage is created and the logic is written there.
• All pure functions (functions that return the same output for the same input) should be put in utils package.

{root_dir}

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class nQueens {
  def isSafe(col: Int, queens: List[Int]): Boolean = {
    val rows = queens.length
    val rowsQueens = (rows-1 to 0 by -1).zip(queens)
    rowsQueens.forall{
      case(r, c) => col != c && math.abs(col - c) != rows - r
    }
  }

  def placeQueens(k: Int): Set[List[Int]] =

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diff - Naru
a / Include / objimpl.h
b / Include / objimpl.h
--- a / Include / objimpl.h
2018 - 04 - 30
06:47:33.000000000 + 0
800
+++ b / Include / objimpl.h
2018 - 10 - 31
11:59:39.000000000 + 0

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import logging
import os
import ast
import traceback
import sys
from contextlib import contextmanager
open_func =  open
py2 =False
def join(f):
    # return os.path.join(os.path.dirname(__file__), f)

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import requests
import bs4

base_url = 'http://www.yify-movies.com'


def parse_link(soup_object):
    movies = {}
    movie_links = []

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import re
import json
import requests
import urllib.parse
from bs4 import BeautifulSoup


class ZippyLink():
    def __init__(self):
        self.REGEX_1 = r'(\(\'dlbutton\'\)\.href = )(.*)(\;)'

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import os
import re
import csv
import sys
import math
import errno
import signal
import socket
import timeit
import datetime

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from pprint import pprint
from scipy.stats import chi2, chi2_contingency
from sys import argv
import numpy as np
import pandas as pd
from sklearn import metrics, model_selection

file_name = argv[1]

# alpha values for chi square pruning