Leland Batey lelandbatey

## list_all_contributors.sh
#!/bin/bash

# list_all_contributors.sh ROOT_SEARCH_PATH
#
# Usage: Finds all Git repositories in ROOT_SEARCH_PATH and records all
#        contributors to each repo, each repo getting one file, with these
#        contributor files saved to the current directory.

# Copyright (C) 2021  Leland Batey
#

## index.html
<!DOCTYPE html>
<html lang="en">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
 <!--<script src="timemachine.js"></script>-->
 <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.22.1/moment-with-locales.min.js"></script>

<body style="margin: 0;">
    <canvas id='canvas' width='1000' height='1000'></canvas>
</body>

## LFB_beaconed_assembly_layout.factorio
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

## example_motor_inmemory.py
# In order to test an upgrade from Motor 1.x to Motor 2.1, we want to have
# automated tests verifying our existing MongoDB scaffolding isn't using any of
# the deprecated/removed features of PyMongo/Motor. Since Python is dynamic,
# and Motor is ESPECIALLY dynamic, using simple static analysis (such as with
# Vulture) can't give us accurate results. So instead, we must write unit tests
# which exercise the methods of common_python.mongo.Client, and by exercising
# them, verify that the fields/methods of the underlying MotorClient are being
# called correctly.
#
# However, we also want our unit tests to be _truly_ idempotent AND to test

## README.md

      
              2 files
            
          
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                lelandbatey
                / README.md
            
            
              Last active Feb 8, 2021
                — forked from mrbar42/README.md
            
              
                bash scripts to create VOD HLS stream with ffmpeg almighty (tested on Linux and OS X)
              
          
      View README.md
  
      
    running:
bash create-vod-hls.sh beach.mkv

will produce:
    beach/
      |- playlist.m3u8
      |- 360p.m3u8


## pprint_number.py
# Take a very large number and pretty print it in triplets of 3 digits, each triplet separated by a space.
def pnum_spc(n): print(' '.join([''.join(list(str(n))[::-1][i:i+3]) for i in range(0, len(str(n)), 3)][::-1]))
# >>> pnum_spc(32 ** 13)
# 36 893 488 147 419 103 232

# Print numbers as 32-bit binary numbers w/ spaces giving 4-bit words
def pbin_spc(n): print(' '.join([''.join(list(f'{n:032b}')[::-1][i:i+4][::-1]) for i in range(0, len(f'{n:032b}'), 4)][::-1]))
# >>> "{0:032b}".format(1234)
# '00000000000000000000010011010010'
# >>> pbin_spc(1234)

## refresh_jumpcloud_creds.sh
#!/bin/bash

# This script runs the entire set of steps to authenticate with jumpcloud and
# refresh the temporarily stored AWS credentials.

cd "$HOME/Documents/jumpcloud_mfa/"

# Yes, the local OTP credentials on disk are encrypted with just the username of my user.
( (sleep 0.3; pkill -f "./otp.sh jumpcloud") & echo "$USER" | ./otp.sh jumpcloud-totp)
# otp.sh puts the current otp in my clipboard, so we get it into a variable using xclip

## held_up.py
import itertools
import json
'''
Show the cards you could be holding up in MTGA at instant speed.

TODOs:
    1. Make it color sensitive
    2. Account for cards with flash
    3. Make a UI (like at ALL)

## collection_access_tracker.py
from __future__ import print_function
import inspect
import six


def fmt_stack(frames):
    s = ""
    for f in frames[::-1]:
        s += "{}:{}: {}\n".format(f[1], f[2], '\\n'.join([x.replace('\n', '') for x in f[4]]))
    return s

## histogram_timestamps.py
#!/usr/bin/env python3
'''
A tool for viewing streams of timestamps as histograms.
'''
import matplotlib.pyplot as plt
from datetime import datetime
import matplotlib.dates as mdates
import pandas as pd
import itertools
import argparse
	#!/bin/bash

	# list_all_contributors.sh ROOT_SEARCH_PATH
	#
	# Usage: Finds all Git repositories in ROOT_SEARCH_PATH and records all
	# contributors to each repo, each repo getting one file, with these
	# contributor files saved to the current directory.

	# Copyright (C) 2021 Leland Batey
	#
	<!DOCTYPE html>
	<html lang="en">
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
	<!--<script src="timemachine.js"></script>-->
	<script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.22.1/moment-with-locales.min.js"></script>

	<body style="margin: 0;">
	<canvas id='canvas' width='1000' height='1000'></canvas>
	</body>
	# In order to test an upgrade from Motor 1.x to Motor 2.1, we want to have
	# automated tests verifying our existing MongoDB scaffolding isn't using any of
	# the deprecated/removed features of PyMongo/Motor. Since Python is dynamic,
	# and Motor is ESPECIALLY dynamic, using simple static analysis (such as with
	# Vulture) can't give us accurate results. So instead, we must write unit tests
	# which exercise the methods of common_python.mongo.Client, and by exercising
	# them, verify that the fields/methods of the underlying MotorClient are being
	# called correctly.
	#
	# However, we also want our unit tests to be _truly_ idempotent AND to test
	# Take a very large number and pretty print it in triplets of 3 digits, each triplet separated by a space.
	def pnum_spc(n): print(' '.join([''.join(list(str(n))[::-1][i:i+3]) for i in range(0, len(str(n)), 3)][::-1]))
	# >>> pnum_spc(32 ** 13)
	# 36 893 488 147 419 103 232

	# Print numbers as 32-bit binary numbers w/ spaces giving 4-bit words
	def pbin_spc(n): print(' '.join([''.join(list(f'{n:032b}')[::-1][i:i+4][::-1]) for i in range(0, len(f'{n:032b}'), 4)][::-1]))
	# >>> "{0:032b}".format(1234)
	# '00000000000000000000010011010010'
	# >>> pbin_spc(1234)
	#!/bin/bash

	# This script runs the entire set of steps to authenticate with jumpcloud and
	# refresh the temporarily stored AWS credentials.

	cd "$HOME/Documents/jumpcloud_mfa/"

	# Yes, the local OTP credentials on disk are encrypted with just the username of my user.
	( (sleep 0.3; pkill -f "./otp.sh jumpcloud") & echo "$USER" \| ./otp.sh jumpcloud-totp)
	# otp.sh puts the current otp in my clipboard, so we get it into a variable using xclip
	import itertools
	import json
	'''
	Show the cards you could be holding up in MTGA at instant speed.

	TODOs:
	1. Make it color sensitive
	2. Account for cards with flash
	3. Make a UI (like at ALL)
	from __future__ import print_function
	import inspect
	import six


	def fmt_stack(frames):
	s = ""
	for f in frames[::-1]:
	s += "{}:{}: {}\n".format(f[1], f[2], '\\n'.join([x.replace('\n', '') for x in f[4]]))
	return s
	#!/usr/bin/env python3
	'''
	A tool for viewing streams of timestamps as histograms.
	'''
	import matplotlib.pyplot as plt
	from datetime import datetime
	import matplotlib.dates as mdates
	import pandas as pd
	import itertools
	import argparse