| import hashlib | |
| HASHES = ["BilboBaggins2012", "SamGamgee2013", "GandalfGrey2014"] | |
| def print_hashes(data_list, hash_name): | |
| hash_func = getattr(hashlib, hash_name) | |
| digests = list(map(lambda data: hash_func(data.encode('utf-8')).hexdigest(), data_list)) | |
| print(f"\n{hash_name.upper()} Hashes:") | |
| print("\n".join(f"{data}: {digest}" for data, digest in zip(data_list, digests))) |
By following these steps, you will have an email rule that moves emails containing "unfortunately" to a specific folder and marks them as read, along with sending an auto-reply of "k" to the sender.
| """create_intro_animation.py | |
| This module provides functionalities to create a basic intro animation using | |
| Pygame. It includes functions to initialize Pygame, load resources, apply text | |
| effects, create frames, save frames, play sound, create a video from frames, | |
| and a main function to orchestrate the creation of the intro animation. | |
| """ | |
| import os | |
| import pygame |
| { | |
| "are not": "aren't", | |
| "cannot": "can't", | |
| "could not": "couldn't", | |
| "did not": "didn't", | |
| "do not": "don't", | |
| "does not": "doesn't", | |
| "had not": "hadn't", | |
| "have not": "haven't", | |
| "he had": "he'd", |
| Name | Landmass | Zone | Area | Population | Language | Religion | Bars | Stripes | Colors | Red | Green | Blue | Gold | White | Black | Orange | Mainhue | Circles | Crosses | Saltires | Quarters | Sunstars | Crescent | Triangle | Icon | Animate | Text | Topleft | Botright | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Afghanistan | 5 | 1 | 648 | 16 | 10 | 2 | 0 | 3 | 5 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | green | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | black | green | |
| Albania | 3 | 1 | 29 | 3 | 6 | 6 | 0 | 0 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | red | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | red | red | |
| Algeria | 4 | 1 | 2388 | 20 | 8 | 2 | 2 | 0 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | green | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | green | white | |
| American-Samoa | 6 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 1 | 0 | 1 | 1 | 1 | 0 | 1 | blue | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | blue | red | |
| Andorra | 3 | 1 | 0 | 0 | 6 | 0 | 3 | 0 | 3 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | gold | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | blue | red | |
| Angola | 4 | 2 | 1247 | 7 | 10 | 5 | 0 | 2 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | red | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | red | black | |
| Anguilla | 1 | 4 | 0 | 0 | 1 | 1 | 0 | 1 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | white | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | white | blue | |
| Antigua-Barbuda | 1 | 4 | 0 | 0 | 1 | 1 | 0 | 1 | 5 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | red | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | black | red | |
| Argentina | 2 | 3 | 2777 | 28 | 2 | 0 | 0 | 3 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | blue | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | blue | blue |
| # 1. Import the necessary libraries and add five sentences from the data that will be used for training data. | |
| # Use `Tokenizer` class from `keras.preprocessing.text` for tokenizing the sentences. | |
| import string | |
| import spacy | |
| import gensim | |
| import nltk | |
| from nltk import ngrams | |
| from nltk.corpus import stopwords | |
| from nltk.tokenize import PunktSentenceTokenizer, word_tokenize |
| 123adana123456 | |
| 123adana12345 | |
| 123adana123456789 | |
| 123adanapassword | |
| 123adanailoveyou | |
| 123adanaprincess | |
| 123adana1234567 | |
| 123adanarockyou | |
| 123adana12345678 | |
| 123adanaabc123 |
| 0d 0a 0d 0a 3c 73 74 79 6c 65 3e 68 74 6d 6c 2c 20 62 6f 64 79 2c 20 64 69 76 2c 20 73 70 61 6e 2c 20 61 70 70 6c 65 74 2c 20 6f 62 6a 65 63 74 2c 20 68 31 2c 20 68 32 2c 20 68 33 2c 20 68 34 2c 20 68 35 2c 20 68 36 2c 20 70 2c 20 62 6c 6f 63 6b 71 75 6f 74 65 2c 20 70 72 65 2c 20 61 2c 20 61 62 62 72 2c 20 61 63 72 6f 6e 79 6d 2c 20 61 64 64 72 65 73 73 2c 20 62 69 67 2c 20 63 69 74 65 2c 20 63 6f 64 65 2c 20 64 65 6c 2c 20 64 66 6e 2c 20 65 6d 2c 20 69 6d 67 2c 20 69 6e 73 2c 20 6b 62 64 2c 20 71 2c 20 73 2c 20 73 61 6d 70 2c 20 73 6d 61 6c 6c 2c 20 73 74 72 69 6b 65 2c 20 73 74 72 6f 6e 67 2c 20 73 75 62 2c 20 73 75 70 2c 20 74 74 2c 20 76 61 72 2c 20 62 2c 20 75 2c 20 69 2c 20 63 65 6e 74 65 72 2c 20 64 6c 2c 20 64 74 2c 20 64 64 2c 20 6f 6c 2c 20 75 6c 2c 20 6c 69 2c 20 66 69 65 6c 64 73 65 74 2c 20 66 6f 72 6d 2c 20 6c 61 62 65 6c 2c 20 6c 65 67 65 6e 64 2c 20 74 61 62 6c 65 2c 20 63 61 70 74 69 6f 6e 2c 20 74 62 6f 64 79 2c 20 74 66 6f 6f 74 2c 20 74 68 65 61 64 2c 20 74 72 2c 20 74 68 2c 20 74 64 2c 2 |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <title>Aguillar Family Wine Festival</title> | |
| <style> | |
| body { | |
| background-color: #242f44; | |
| color: white; | |
| font-family: 'Oswald', sans-serif; |