Eugene Ware eugeneware

## misleading-cat.cpp
/* So how does this work?
I'm using ANSI escape sequences to control the behavior of the terminal while
cat is outputting the text. I deliberately place these control sequences inside
comments so the C++ compiler doesn't try to treat them as code.*/
//[2K[2D[A[2K[A[2K[A[2K[A[2K[A
/*The commands in the fake code comment move the cursor to the left edge and
clear out the line, allowing the fake code to take the place of the real code.
And this explanation uses similar commands to wipe itself out too. */
//[2K[2D[A[2K[A[2K[A[2K[A
#include <cstdio>

## Detection Python Environment, Especially distinguish Spyder, Jupyter notebook, Qtconsole.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May  8 20:40:30 2018

@author: yanglei
"""
'''
# Detection Python Environment, Especially distinguish Spyder, Jupyter notebook, Qtconsole

## asyncio_executors_threads_procs.py
#!/usr/bin/env python3
# Combining coroutines running in an asyncio event loop with
# blocking tasks in thread pool and process pool executors.
#
# Based on https://pymotw.com/3/asyncio/executors.html, but this version runs both
# threads and processes at the same time and interleaves them with asyncio coroutines.
#
# All appears to be working.
#

## imgcat.py
from __future__ import print_function

import base64
import os
import select
import sys


# tmux requires unrecognized OSC sequences to be wrapped with DCS tmux;
# <sequence> ST, and for all ESCs in <sequence> to be replaced with ESC ESC. It

## nvidia_boost.sh
#!/bin/bash
# Sets each CUDA device to persistence mode and sets the application clock
# and power limit to the device's maximum supported values.
# When run with "--dry-run" as first command line argument or not as superuser,
# will display the commands, otherwise it will execute them.
#
# Hint: To run this at boot time, place this script in /root and create a file
# /etc/cron.d/nvidia_boost with the following single line:
# @reboot root /root/nvidia_boost.sh >/dev/null
#

## miniconda_on_rpi.md

      
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                simoncos
                / miniconda_on_rpi.md
            
            
              Last active
              August 9, 2023 07:18
            
              
                Install Miniconda 3 on Raspberry Pi
              
          
    refer to: https://stackoverflow.com/questions/39371772/how-to-install-anaconda-on-raspberry-pi-3-model-b
{USER}: pi
Install Miniconda 3:
wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo md5sum Miniconda3-latest-Linux-armv7l.sh # (optional) check md5
sudo /bin/bash Miniconda3-latest-Linux-armv7l.sh # -&gt; change default directory to /home/pi/miniconda3


## LICENSE
Public Domain

## pad_packed_demo.py
import torch
import torch.nn as nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

seqs = ['gigantic_string','tiny_str','medium_str']

# make <pad> idx 0
vocab = ['<pad>'] + sorted(set(''.join(seqs)))

# make model

## variable_rnn_torch.py
import torch
import torch.nn as nn
from torch.autograd import Variable

batch_size = 3
max_length = 3
hidden_size = 2
n_layers =1

# container

## bad_grad_viz.py
from graphviz import Digraph
import torch
from torch.autograd import Variable, Function

def iter_graph(root, callback):
    queue = [root]
    seen = set()
    while queue:
        fn = queue.pop()
        if fn in seen:
	/* So how does this work?
	I'm using ANSI escape sequences to control the behavior of the terminal while
	cat is outputting the text. I deliberately place these control sequences inside
	comments so the C++ compiler doesn't try to treat them as code.*/
	//[2K[2D[A[2K[A[2K[A[2K[A[2K[A
	/*The commands in the fake code comment move the cursor to the left edge and
	clear out the line, allowing the fake code to take the place of the real code.
	And this explanation uses similar commands to wipe itself out too. */
	//[2K[2D[A[2K[A[2K[A[2K[A
	#include <cstdio>
	#!/usr/bin/env python3
	# -- coding: utf-8 --
	"""
	Created on Tue May 8 20:40:30 2018

	@author: yanglei
	"""
	'''
	# Detection Python Environment, Especially distinguish Spyder, Jupyter notebook, Qtconsole
	#!/usr/bin/env python3
	# Combining coroutines running in an asyncio event loop with
	# blocking tasks in thread pool and process pool executors.
	#
	# Based on https://pymotw.com/3/asyncio/executors.html, but this version runs both
	# threads and processes at the same time and interleaves them with asyncio coroutines.
	#
	# All appears to be working.
	#
	from __future__ import print_function

	import base64
	import os
	import select
	import sys


	# tmux requires unrecognized OSC sequences to be wrapped with DCS tmux;
	# <sequence> ST, and for all ESCs in <sequence> to be replaced with ESC ESC. It
	#!/bin/bash
	# Sets each CUDA device to persistence mode and sets the application clock
	# and power limit to the device's maximum supported values.
	# When run with "--dry-run" as first command line argument or not as superuser,
	# will display the commands, otherwise it will execute them.
	#
	# Hint: To run this at boot time, place this script in /root and create a file
	# /etc/cron.d/nvidia_boost with the following single line:
	# @reboot root /root/nvidia_boost.sh >/dev/null
	#
	import torch
	import torch.nn as nn
	from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

	seqs = ['gigantic_string','tiny_str','medium_str']

	# make <pad> idx 0
	vocab = ['<pad>'] + sorted(set(''.join(seqs)))

	# make model
	import torch
	import torch.nn as nn
	from torch.autograd import Variable

	batch_size = 3
	max_length = 3
	hidden_size = 2
	n_layers =1

	# container
	from graphviz import Digraph
	import torch
	from torch.autograd import Variable, Function

	def iter_graph(root, callback):
	queue = [root]
	seen = set()
	while queue:
	fn = queue.pop()
	if fn in seen: