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| #!/bin/env python3 | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| def approximate_memorized(fahrenheit) -> float: | |
| # Nearest memorized temperature | |
| close = round((fahrenheit - 5) / 9) * 9 + 5 | |
| # Convert to Celsius | |
| rough = (close - 32) // 9 |
| function shortnumberstring(number) | |
| local steps = { | |
| {1,""}, | |
| {1e3,"k"}, | |
| {1e6,"m"}, | |
| {1e9,"g"}, | |
| {1e12,"t"}, | |
| } | |
| for _,b in ipairs(steps) do | |
| if b[1] <= number+1 then |
| ;;; #1 removeNILTop | |
| (defun removeNILTop (lst) | |
| (remove-if #'null lst)) | |
| (removeNILTop '(NIL X NIL NIL Y NIL Z)) | |
| (removeNILTop '(X NIL Y NIL Z NIL)) | |
| (removeNILTop '(NIL (X NIL Y) (NIL NIL))) | |
| ;;; #2 removeNILMost | |
| (defun removeNILMost (lst) |
| # Get a temporary file for storing encrypted outputs | |
| $encryptedFile = New-TemporaryFile | |
| # Milestone testing function | |
| function TestMilestone($milestone, $inputFile, $outputFile, $keyFile, $expectedOutputFile) { | |
| Write-Host "Running Milestone $milestone... " -NoNewline | |
| echo "" # Use echo to skip the system pause | |
| | ./Debug/cs3843-cryptography.exe -e $inputFile -p SECRET -o $outputFile -k $keyFile -m $milestone | |
| | Out-Null # Suppress output |
| const colors = require('tailwindcss/colors'); | |
| const Color = require('color'); | |
| // Range generation function | |
| const range = (lower, upper, step) => { | |
| return Array.from( | |
| new Array(Math.floor(upper / step - lower / step) + 1), | |
| (_, i) => lower / step + i | |
| ).map((x) => x * step); | |
| }; |
| { | |
| "Response": { | |
| "status": 200, | |
| "flightInfo": { | |
| "logo": null, | |
| "airlineName": null, | |
| "airlineCode": "ASA", | |
| "airlineCodeIata": null, | |
| "tailNumber": "N976AK", | |
| "flightNumberInfo": "ASA541", |
| Error detected while processing WinEnter Autocommands for "*": | |
| E5108: Error executing lua Vim:E495: no autocommand file name to substitute for "<afile>" | |
| stack traceback: | |
| [C]: in function 'expand' | |
| [string ":lua"]:1: in main chunk |
| def score(distribution): | |
| count = len(distribution) | |
| deviation = [abs(1 / count - d) for d in distribution] | |
| avg_deviation = sum(deviation) / count | |
| return 1 - sum(deviation) / count | |
| print(score([1 / 5 for _ in range(5)])) | |
| print(score([0.12, 0.33, 0.55])) |
