backupbrain

backupbrain

#!/usr/bin/env python3
import urllib.request
import json
import requests

full_name = "Professor John Roberts Smith Jr."
domain = "example.com"
api_key = "<neverbounce_api_key>"

name_parts = full_name.lower().split(" ")

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import re
import requests
import nltk
from lxml import html
from nltk.corpus import stopwords
stop_words = set(stopwords.words("english"))

# A Company Name
company_name = "The Boring Company"
search_terms = ["flamethrower"]  # The Boring Company sells flamethrowers

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import re
import nltk
from nltk.corpus import stopwords
import pandas as pd
stop_words = set(stopwords.words("english"))


def get_first_title(title):
    # keep "co-founder, co-ceo, etc"
    title = re.sub(r"[Cc]o[\-\ ]","", title)

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LexicalAnalyzer.prototype.generateParseError = function(lineNumber=null, message="") {
  error = {"line": lineNumber, "message": message};
  return error;
}

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LexicalAnalyzer.prototype.run = function(tokenLines) {
	lexOutput = this.getClassifiedTokenFromLines(tokenLines);
	return lexOutput;
};

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LexicalAnalyzer.prototype.getClassifiedTokenFromLines = function(tokenLines) {
	classifiedTokens = [];
	errors = [];
	// loop through each line of code
	for (var lineId = 0; lineId < tokenLines.length; lineId++) {
		line = tokenLines[lineId];
		// loop through each token in each line
		for (var tokenId = 0; tokenId < line.length; tokenId++) {
			token = line[tokenId];
			classifiedToken = null;

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function LexicalAnalyzer() {
	this.tokenTypes = {
		"include": /^include$/,
		"string": /^\"[^\"]+\"$/,
		"unaryop": /^(sin|cos|tan|exp|ln|sqrt)$/,
		"exp": /^(\+|\-|\*|\/|\^)$/,
		"comma": /^\,$/,
		"openparen": /^\($/,
		"closeparen": /^\)$/,
		"openbracket": /^\[$/,

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Tokenizer.prototype.run = function(text) {
	formattedText = this.prepareCodeForTokenization(text);
	tokens = this.getTokenLines(formattedText);
	return tokens;
}

Tokenizer.prototype.prepareCodeForTokenization = function(text) {
	text = this.stripComments(text);
	text = this.trimWhitespace(text);
	text = this.resetNewlines(text);

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Tokenizer.prototype.getTokenLines = function(text) {
	lines = text.split("\n");
	tokenLines = [];
	for (var lineId = 0; lineId < lines.length; lineId++) {
		line = lines[lineId];
		tokens = line.split(" ");
		tokenLines.push(tokens);
	}
	return tokenLines;
}