Christopher Tichenor catichenor

## waitfordl.sh
#!/bin/bash

DLFILE=/path/to/file.zip

while [ ! -f $DLFILE ];
do
  echo "`date --rfc-3339=seconds`: Not here yet"
  sleep 60
done
echo "`date --rfc-3339=seconds`: It's here! Moving..."

## stable_diff_keras_noconda.py
# This was the only way I could get TensorFlow to recognize the CUDA DLLs without installing Conda.
# Adapted from https://keras.io/api/keras_cv/models/stable_diffusion/
# Set up paths as noted in https://www.youtube.com/watch?v=-Q6SM_usn84 (although ctypes is basically overriding this since the paths didn't seem get properly detected)
# ctypes workaround taken from https://stackoverflow.com/questions/57528027/importerror-could-not-find-cudart64-100-dll
# TensorFlow memory workaround taken from https://stackoverflow.com/questions/65493824/tensorflow-gpu-memory-allocation
# Needed to download zlib for Windows as posted on this page: http://www.winimage.com/zLibDll/zlib123dllx64.zip

import ctypes

cudart64dll = ctypes.WinDLL(r"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll")

## youtube_audio_playlist.sh
#!/usr/bin/env bash

# Download a YouTube playlist but extract audio only from the movies.
yt-dlp --extract-audio -ciw -o "%(title)s.%(ext)s" -v https://www.youtube.com/playlist?list=XXXXXXX_XXXXXX #Replace X's with the playlist characters

## many_requests_auth.py
#!/usr/bin/env python3

# How to do Basic authentication with the many_requests library, should work for Digest auth,
#     or any other authentication method supported by the asks library.
# many_requests: https://github.com/joshlk/many_requests
# asks library authentication docs: https://asks.readthedocs.io/en/latest/overview-of-funcs-and-args.html#authing

from many_requests import ManyRequests
from asks import BasicAuth

## auto_resume_restart_download.sh
#!/usr/bin/env bash

# Taken from https://ilovesymposia.com/2013/04/11/automatically-resume-interrupted-downloads-in-osx-with-curl/ and https://ec.haxx.se/usingcurl/usingcurl-timeouts
export ec=18; while [ $ec -ne 0 ]; do /usr/bin/curl --speed-time 15 --speed-limit 1000 -O -C - "http://somedomain.com/path/to/some_huge_file.txt"; export ec=$?; done

## yagmail_no_auth.py
# Couldn't find a reference on how to authenticate to an SMTP server that doesn't require authentication, but this worked.
# Based on the yagmail PyPi page: https://pypi.org/project/yagmail/
#   and yagmail docs: https://yagmail.readthedocs.io/en/latest/api.html#smtp-client

import yagmail

user_email = "my_email@somedomain.com"

yag = yagmail.SMTP(user=user_email, host='smtp.somedomain.com', port=25, smtp_skip_login=True, smtp_ssl=False)

## is_port_open.py
import time
import socket

ip = "mylicenseserver.mydomain.com"
port = 27000

responses = []

for i in range(10):
    try:

## text_to_qr.py
#!/usr/bin/env python

import os
import argparse
from pathlib import Path


import qrcode
from PIL import Image, ImageDraw, ImageFont

## .bashrc
export PATH="$PATH:/c/Users/ctichenor/AppData/Local/Continuum/anaconda3:/c/Users/ctichenor/AppData/Local/Continuum/anaconda3/Scripts"
alias python="winpty python"

## md2xl.sh
#!/usr/bin/env bash

find . -maxdepth 1 -type f -name '*.md' | xargs -I {} basename "{}" .md | xargs -I {} pandoc -f markdown_mmd -t html {}.md -o {}.xls
	#!/bin/bash

	DLFILE=/path/to/file.zip

	while [ ! -f $DLFILE ];
	do
	echo "`date --rfc-3339=seconds`: Not here yet"
	sleep 60
	done
	echo "`date --rfc-3339=seconds`: It's here! Moving..."
	# This was the only way I could get TensorFlow to recognize the CUDA DLLs without installing Conda.
	# Adapted from https://keras.io/api/keras_cv/models/stable_diffusion/
	# Set up paths as noted in https://www.youtube.com/watch?v=-Q6SM_usn84 (although ctypes is basically overriding this since the paths didn't seem get properly detected)
	# ctypes workaround taken from https://stackoverflow.com/questions/57528027/importerror-could-not-find-cudart64-100-dll
	# TensorFlow memory workaround taken from https://stackoverflow.com/questions/65493824/tensorflow-gpu-memory-allocation
	# Needed to download zlib for Windows as posted on this page: http://www.winimage.com/zLibDll/zlib123dllx64.zip

	import ctypes

	cudart64dll = ctypes.WinDLL(r"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin\cudart64_110.dll")
	#!/usr/bin/env bash

	# Download a YouTube playlist but extract audio only from the movies.
	yt-dlp --extract-audio -ciw -o "%(title)s.%(ext)s" -v https://www.youtube.com/playlist?list=XXXXXXX_XXXXXX #Replace X's with the playlist characters
	#!/usr/bin/env python3

	# How to do Basic authentication with the many_requests library, should work for Digest auth,
	# or any other authentication method supported by the asks library.
	# many_requests: https://github.com/joshlk/many_requests
	# asks library authentication docs: https://asks.readthedocs.io/en/latest/overview-of-funcs-and-args.html#authing

	from many_requests import ManyRequests
	from asks import BasicAuth
	#!/usr/bin/env bash

	# Taken from https://ilovesymposia.com/2013/04/11/automatically-resume-interrupted-downloads-in-osx-with-curl/ and https://ec.haxx.se/usingcurl/usingcurl-timeouts
	export ec=18; while [ $ec -ne 0 ]; do /usr/bin/curl --speed-time 15 --speed-limit 1000 -O -C - "http://somedomain.com/path/to/some_huge_file.txt"; export ec=$?; done
	# Couldn't find a reference on how to authenticate to an SMTP server that doesn't require authentication, but this worked.
	# Based on the yagmail PyPi page: https://pypi.org/project/yagmail/
	# and yagmail docs: https://yagmail.readthedocs.io/en/latest/api.html#smtp-client

	import yagmail

	user_email = "my_email@somedomain.com"

	yag = yagmail.SMTP(user=user_email, host='smtp.somedomain.com', port=25, smtp_skip_login=True, smtp_ssl=False)
	import time
	import socket

	ip = "mylicenseserver.mydomain.com"
	port = 27000

	responses = []

	for i in range(10):
	try:
	#!/usr/bin/env python

	import os
	import argparse
	from pathlib import Path


	import qrcode
	from PIL import Image, ImageDraw, ImageFont
	export PATH="$PATH:/c/Users/ctichenor/AppData/Local/Continuum/anaconda3:/c/Users/ctichenor/AppData/Local/Continuum/anaconda3/Scripts"
	alias python="winpty python"
	#!/usr/bin/env bash

	find . -maxdepth 1 -type f -name '*.md' \| xargs -I {} basename "{}" .md \| xargs -I {} pandoc -f markdown_mmd -t html {}.md -o {}.xls