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def calculate_pushes(a_x, b_x, a_y, b_y, prize_x, prize_y) -> tuple[int, int]:
    """
    Using matrix multiplication
    if A . [x,y] = [prize_x, prize_y]
    then [x,y] = A^-1 . [prize_x, prize_y[]
    """

    A = np.array([[a_x, b_x], [a_y, b_y]])
    P = np.array([prize_x, prize_y])
    a_pushes, b_pushes = np.linalg.solve(A, P).round().astype(int)

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prize_x, prize_y = 8400, 5400
a_x, a_y = 94, 34
b_x, b_y = 22, 67

token_counts = []

for a_pushes in 100:
  for b_pushes in 100:
    if a_pushes * a_x + b_pushes * b_x == prize_x:
      if a_pushes * a_y + b_pushes * b_y == prize_y:

keithrozario

I treat your data very seriously.

We do not store any data.

We will delete it even before you ask -- but if you ask, we'll delete it again.

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import boto3

iam = boto3.resource('iam')


def list_users() -> list:
    """
    List all users in an account
    :return: list of usernames
    """

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autocmd FileType yaml setlocal ts=2 sts=2 sw=2 expandtab
au! BufNewFile,BufReadPost *.{yaml,yml} set filetype=yaml foldmethod=indent
let g:indentLine_color_term = 100

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import boto3

# Create your own session
my_session = boto3.session.Session(region_name="regionA", profile_name="profileA")
client = my_session.client('dynamodb')
paginator = client.get_paginator('scan')

# Option 1, paginate through paginator, a bit clunky, but possibly better performance
response_iterator = paginator.paginate(
    TableName="kl.Klayers-prodp38.db"

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https://s3-ap-southeast-1.amazonaws.com/govscan.info/cypress.zip

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git checkout -b <branch_name> git --set-upstream origin <branch_name> git rebase -i

Squash all commits where necessary

:qw

Change commit message where necessary

git push +

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import requests
import json
import csv

base_url = "https://aws.amazon.com/api/dirs/items/search"

params = {
    "item.directoryId": "this-is-my-architecture",
    "sort_by": "item.additionalFields.airDate",
    "sort_order": "desc",

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from aws_lambda_powertools.logging import Logger
logger = Logger()



@logger.inject_lambda_context
def handler(event, context):
  
  important_list = [1,2,3]