| #!/bin/bash | |
| # if we are checking out a new git worktree, then copy over the | |
| # environment files | |
| if [[ "$1" == "0000000000000000000000000000000000000000" ]]; then | |
| basePath=$(git rev-parse --path-format=absolute --git-common-dir | xargs dirname) | |
| # Use glob to find all files starting with .env | |
| echo "running git post-checkout hook to copy .env* files to new worktree" | |
| for envFile in "$basePath"/.env*; do |
| # !pip install anthropic[bedrock] boto3 chatlas | |
| from chatlas import ChatBedrockAnthropic | |
| chat = ChatBedrockAnthropic( | |
| model = "us.anthropic.claude-3-5-sonnet-20241022-v2:0" | |
| ) | |
| chat.chat("What is the capital of France?") |
| Resources: | |
| AccountPasswordPolicyC318930E: | |
| Type: Custom::AWS | |
| Properties: | |
| ServiceToken: | |
| Fn::GetAtt: | |
| - AWS679f53fac002430cb0da5b7982bd22872D164C4C | |
| - Arn | |
| Create: | |
| service: IAM |
This script will download git-lfs and install it into a user home directory.
It also adjusts the path in .bashrc to look for files in $HOME/.local/bin. This will allow git to find the git-lfs plugin.
After restarting the terminal, git-lfs should be functional and git clone of datasets from huggingface will work as expected.
If you have already cloned the hugging face repo before installing git-lfs, you can run git lfs fetch and it
should download the files using git-lfs.
Here is the prompt I used in VSCode Agent mode on April 12, 2025
make a bash script in this file that follows the best practices from https://bertvv.github.io/cheat-sheets/Bash.html #fetch .
The bash script should use the convert tool from the ImageMagick program to process the input image and create an output image.
Give a helpful error message if the convert tool is not available, with instructions for common ways to install the program
with homebrew or apt. The script should take a single argument as the source image, and create an output file that is named
the same as the source image but with "-output" added as a suffix to the basename of the input file. Keep the output file
extension the same as the input file extension. Validate that the input file is a valid PNG file with 1920x1080 dimensions.
The processing of the image should be to -crop the image starting at Y coordinate offset pixel 1304 and continuing to
| #Placeholder to change the name of the gist |
| import * as cdk from "@aws-cdk/core"; | |
| import * as wafv2 from "@aws-cdk/aws-wafv2"; | |
| // This extends the base cdk stack properties to include a tag name input. | |
| export interface StackProps extends cdk.StackProps { | |
| tag: string; | |
| applicationName?: string; | |
| } | |
| export class WAFStack extends cdk.Stack { |
| #!/usr/bin/env bash | |
| set -eo pipefail | |
| USAGE='convert-to-prores inputfile [outputfile] [prores setting 1 to 5, default 3]' | |
| DESCRIPTION=' | |
| Converts a video file to ProRes for playback on HyperDeck or NLE | |
| The outputfile is optional, if not provided it will be based on the input file name | |
| The profile switch takes an integer from -1 to 5 to match the ProRes profiles |
| #!/usr/bin/env python3 | |
| # include the decorator | |
| from apprise.decorators import notify | |
| from apprise.logger import logger | |
| import requests | |
| import re | |
| import json | |
| import sys |
| # This is the entire preseed config file used on an example Lucid system. See the preseed | |
| # documentation for more information on the options here. This will use US English by default. | |
| # | |
| # https://help.ubuntu.com/10.04/installation-guide/amd64/preseed-contents.html | |
| # | |
| # This preseed will automatically install Ubuntu 10.04 with default options. Understand what | |
| # it is doing before you use it. | |
| # | |
| # Boot Options line: | |
| # |