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// | |
// ViewController.swift | |
// WebKitPDFAndImageDemo | |
// | |
// Created by Aryaman Sharda on 2/18/23. | |
// | |
import UIKit | |
import WebKit |
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import sys | |
if __name__ == '__main__': | |
arguments = sys.argv | |
# The first parameter is always the call to this executable "python3 check-ambiguous-references" which we can drop | |
arguments.pop(0) | |
ambiguous_constraints_found = False | |
# Searches through all of the modified files looking for the introduction of ambiguous constraints |
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enum HTTPMethod: String { | |
case delete = "DELETE" | |
case get = "GET" | |
case patch = "PATCH" | |
case post = "POST" | |
case put = "PUT" | |
} | |
enum HTTPScheme: String { | |
case http |
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// 1 | |
protocol AnalyticsProvider { | |
func sendAnalyticsEvent(named name: String, metadata: [String : Any]?) | |
} | |
// 2 | |
import FirebaseAnalytics | |
struct FirebaseAnalyticsProvider: AnalyticsProvider { | |
func sendAnalyticsEvent(named name: String, metadata: [String : Any]?) { | |
Analytics.logEvent(name, parameters: metadata) |
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import Foundation | |
enum Log { | |
enum LogLevel { | |
case info | |
case warning | |
case error | |
fileprivate var prefix: String { | |
switch self { |
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import random | |
import numpy as np | |
# https://github.com/jmespadero/pyDelaunay2D | |
from delaunay2D import Delaunay2D | |
from PIL import Image | |
from PIL import ImageDraw | |
# Load an image from file path | |
img = Image.open('Jaipur.jpg').convert('RGBA') |
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file = open('blog.txt', 'r') | |
characters = { | |
"1": 4, | |
"2": 4, | |
"3": 4, | |
"4": 4, | |
"5": 4, | |
"6": 5, | |
"7": 4, |
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import sys | |
from sys import argv | |
import struct | |
from struct import * | |
def decompress(): | |
# Default values in order to read the compressed file | |
compressed_data = [] | |
next_code = 256 | |
decompressed_data = "" |
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import sys | |
from sys import argv | |
from struct import * | |
def compress(): | |
# Building and initializing the dictionary. | |
dictionary_size = 256 | |
dictionary = {chr(i): i for i in range(dictionary_size)} | |
# We'll start off our phrase as empty and add characters to it as we encounter them |
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from PIL import Image | |
# Converts image to grayscale | |
inputImage = Image.open("source.png").convert('L') | |
outputImage = Image.new('L', inputImage.size) | |
width, height = inputImage.size | |
frequency = {} |
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