westonplatter

#!/bin/bash

# Terraform Cleanup Script
# This script finds and allows deletion of .terraform folders

set -e

echo "=================================="
echo "   TERRAFORM FOLDER CLEANUP"
echo "=================================="

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AWS Network Diagram Generation Prompt

Objective: Generate a mermaid diagram of an AWS VPC network architecture

Requirements:

1. CLI Tools: AWS CLI installed available for use
2. MCPs: AWS API MCP, https://awslabs.github.io/mcp/servers/aws-api-mcp-server/

   {
   

"mcpServers": {

westonplatter

from typing import Annotated

import dagger
from dagger import Doc, dag, field, function, object_type


@object_type
class Workspace:
    """A module for editing code"""

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export function extractTerraformResources(content: string): TerraformResource[] {
  logger.info('Starting Terraform resource extraction');
  const resources: TerraformResource[] = [];
  const lines = content.split('\n');
  logger.debug('File processing started', { totalLines: lines.length });
  
  let bracketLevel = 0;
  let currentResource: Partial<TerraformResource> | null = null;
  let resourceContent: string[] = [];
  

westonplatter

import numpy
import scipy.optimize
import pandas

def probability_constraint(x):
    j, n = x.shape

    Aeq = numpy.ones([1, j])
    beq = numpy.array([1.])

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apiVersion: v1
kind: ConfigMap
metadata:
  name: workflow-controller-configmap
  namespace: default
data:
  artifactRepository: |
    archiveLogs: true
    s3:
      repoName: MyArtifactRepo

westonplatter

require 'csv'
require "bigdecimal"

require 'rubygems'
require 'bundler/setup'
require 'pry'
Bundler.require

file_name = "mes-july2020.csv"

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[
    {
        "city": "New York", 
        "growth_from_2000_to_2013": "4.8%", 
        "latitude": 40.7127837, 
        "longitude": -74.0059413, 
        "population": "8405837", 
        "rank": "1", 
        "state": "New York"
    }, 

westonplatter

from datetime import datetime, timedelta, date
import pytz
from os import environ, path, makedirs

import pandas as pd
import quandl
import fasterparquet

start_date = "1995-01-01"

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# Pandas operations

## getting and setting df rows
credit goes to https://stackoverflow.com/a/29262040/665578


for i, row in df.iterrows():
    ifor_val = something
    if <condition>:
      ifor_val = something_else