Marcus McCurdy volker48

## find_noise.py
import torch
import numpy as np
import k_diffusion as K

from PIL import Image
from torch import autocast
from einops import rearrange, repeat

def pil_img_to_torch(pil_img, half=False):
    image = np.array(pil_img).astype(np.float32) / 255.0

## input.txt
-7
+16
+5
+11
+18
-14
+11
+14
-2
+13

## mp10mini.gcode
; Some of this comes from DrVax Monoprice M10 Start Code with some modifications by volker48
G21 ;(metric values)
G90 ;(absolute positioning)
M82 ;(set extruder to absolute mode)
M107 ;(start with the fan off)
M104 S[first_layer_temperature] ; set extruder temp
M140 S[first_layer_bed_temperature] ; set bed temp
M190 S[first_layer_bed_temperature] ; wait for bed temp
M109 S[first_layer_temperature] ; wait for extruder temp
G28 ;(Home all axes)

## test_lock.py
import time
from fastapi import FastAPI

app = FastAPI()


@app.get("/fast")
async def fast():
    return {"message": "i was fast"}

## minimal_example.py

# coding: utf-8

# In[ ]:


import numpy as np
import pandas as pd
import xgboost as xgb
from scipy.sparse import csr_matrix

## id_rsa.pub
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDXPav9z1wI47r7c6LY9bbwZM2Y7YexdiQ+NVPYaz25QX2MWohCeJNiev+svnd2o0WfBxqoWvjC9vtjU8ho8glcTQSsQs7B8npNsO8POpY9kMMR9ds2ypdtQUvrqpAQfZrW+xUKbgjzhZxhjG9h4RTkX0t/Mv8Heht44yn/1RK7oCDzs2pb1NaeOItY4d2VfgrrCIonVFhUf2l8t5OYZDOCm9R9Yu4whmmpLFh6mFmNLMPPV2/SmUOrw7iMO5CFsZz1Np1FjMEFYWnWOjlZQYAAVEzcSnPA6j/Hhp2sER/P8WVOnt/+WkQctvuUMNIN+Kjn9oLx492xsqCuyWXvbD03 marcus@squatobot

## goroutine.go
package main

import (
	"log"
	"time"
)

func main() {
	// anonymous function
	go func() {

## optimize.sh
#!/bin/sh

# script for optimizing images in a directory (recursive)
# pngcrush & jpegtran settings from:
# http://developer.yahoo.com/performance/rules.html#opt_images

# pngcrush
for file in `find -E . -regex '.*\.(jpg|png)'`; do
    if [ ${file: -4} == ".png" ]
    then

## keybase.md

      
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                volker48
                / keybase.md
            
            
              Created
              June 12, 2014 21:06
            
          
    Keybase proof

I hereby claim:

I am volker48 on github.
I am marcusmccurdy (https://keybase.io/marcusmccurdy) on keybase.
I have a public key whose fingerprint is E3B1 C64D 9433 6BEC 7F0C  4139 7369 B29E 7655 B659

To claim this, I am signing this object:

  
## tail.py
#! /usr/bin/env python
'''
Copyright (c) 2012 Marcus McCurdy
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without restriction,
including without limitation the rights to use, copy, modify, merge,
publish, distribute, sublicense, and/or sell copies of the Software,
and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
	import torch
	import numpy as np
	import k_diffusion as K

	from PIL import Image
	from torch import autocast
	from einops import rearrange, repeat

	def pil_img_to_torch(pil_img, half=False):
	image = np.array(pil_img).astype(np.float32) / 255.0
	; Some of this comes from DrVax Monoprice M10 Start Code with some modifications by volker48
	G21 ;(metric values)
	G90 ;(absolute positioning)
	M82 ;(set extruder to absolute mode)
	M107 ;(start with the fan off)
	M104 S[first_layer_temperature] ; set extruder temp
	M140 S[first_layer_bed_temperature] ; set bed temp
	M190 S[first_layer_bed_temperature] ; wait for bed temp
	M109 S[first_layer_temperature] ; wait for extruder temp
	G28 ;(Home all axes)
	import time
	from fastapi import FastAPI

	app = FastAPI()


	@app.get("/fast")
	async def fast():
	return {"message": "i was fast"}

	# coding: utf-8

	# In[ ]:


	import numpy as np
	import pandas as pd
	import xgboost as xgb
	from scipy.sparse import csr_matrix
	package main

	import (
	"log"
	"time"
	)

	func main() {
	// anonymous function
	go func() {
	#!/bin/sh

	# script for optimizing images in a directory (recursive)
	# pngcrush & jpegtran settings from:
	# http://developer.yahoo.com/performance/rules.html#opt_images

	# pngcrush
	for file in `find -E . -regex '.*\.(jpg\|png)'`; do
	if [ ${file: -4} == ".png" ]
	then
	#! /usr/bin/env python
	'''
	Copyright (c) 2012 Marcus McCurdy
	Permission is hereby granted, free of charge, to any person
	obtaining a copy of this software and associated documentation
	files (the "Software"), to deal in the Software without restriction,
	including without limitation the rights to use, copy, modify, merge,
	publish, distribute, sublicense, and/or sell copies of the Software,
	and to permit persons to whom the Software is furnished to do so,
	subject to the following conditions: