Kshitij Chawla kchawla-pi

## client.py
from concurrent.futures import ThreadPoolExecutor, as_completed
import json
import urllib.request

with open('webapp.json', encoding='utf-8') as f:
    config = json.loads(f.read())

URLS = [
    'http://localhost:%d/?ident=%d' % (config['port'], ident)
    for ident in range(1, 1001)

## nvidia-xfce-desktop-container-popos-22.04
# Install latest version nvidia-docker2 on PopOS 22.04
## PopOS does not take the latest upstream NVIDIA Container runtime which is needed to run the container
## Run the below steps

### Add a new preference entry in /etc/apt/preferences.d/pop-default-settings

Package: *
Pin: origin nvidia.github.io
Pin-Priority: 1002

## git-credential-helper-libsecret.sh
#!/bin/bash

set -e

sudo apt-get -y install libsecret-1-0 libsecret-1-dev libglib2.0-dev
sudo make --directory=/usr/share/doc/git/contrib/credential/libsecret
git config --global credential.helper /usr/share/doc/git/contrib/credential/libsecret/git-credential-libsecret

## docker_gpu_support_ubuntu.txt
sudo apt update
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt install nvidia-driver-535-server
sudo apt install linux-modules-nvidia-535-server-generic
sudo apt-cache policy linux-modules-nvidia-535-server-$(uname -r)
sudo apt install linux-modules-nvidia-535-server-generic
sudo reboot
sudo apt update
sudo lsmod | grep nouveau
sudo lsmod | grep nvidia

## plugin_architecture.md

      
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                kchawla-pi
                / plugin_architecture.md
            
            
              Created
              February 23, 2023 22:53
                — forked from dorneanu/plugin_architecture.md
            
              
                Python: Implement basic plugin architecture with Python and importlib
              
          
    Implementing a basic plugin architecture shouldn't be a complicated task. The solution described here
is working but you still have to import every plugin (inheriting from the base class).
This is my solution:
Basic project structure

$ tree


## error_traceback.log
nats: encountered error
Traceback (most recent call last):
  File "/root/.local/lib/python3.10/site-packages/nats/aio/client.py", line 1301, in _select_next_server
    await self._transport.connect(
  File "/root/.local/lib/python3.10/site-packages/nats/aio/transport.py", line 118, in connect
    r, w = await asyncio.wait_for(
  File "/usr/local/lib/python3.10/asyncio/tasks.py", line 445, in wait_for
    return fut.result()
  File "/usr/local/lib/python3.10/asyncio/streams.py", line 48, in open_connection
    transport, _ = await loop.create_connection(

## clean_code__accessing_resources_best.py
from pathlib import Path

text = Path(text_filepath).read_text()
image_data = Path(binary_filepath).read_bytes()

## first_base_price.py
from pprint import pprint

import numpy as np
import pandas as pd


def fill_first_base_price_of_above_one_window(df, indices):
    df["window_base_price"].at[indices[-1]] = df["base_price"].at[indices[0]]


## first_iteration_0.py
import warnings


def view_connectome(adjacency_matrix,
                    node_coords,
                    edge_threshold=None,
                    edge_cmap=cm.cyan_orange,
                    symmetric_cmap=True,
                    linewidth=6.,
                    node_size=3.,

## best_practices_example_after.py
# each library should be imported in a separate line and arranged alphabetically.
import csv
import glob
import hashlib
import os

# replace with file location
r'''
path = r'/mnt/chromeos/MyFiles/Downloads/CSVs/'
files = glob.glob(path + r"/*.csv")
	from concurrent.futures import ThreadPoolExecutor, as_completed
	import json
	import urllib.request

	with open('webapp.json', encoding='utf-8') as f:
	config = json.loads(f.read())

	URLS = [
	'http://localhost:%d/?ident=%d' % (config['port'], ident)
	for ident in range(1, 1001)
	# Install latest version nvidia-docker2 on PopOS 22.04
	## PopOS does not take the latest upstream NVIDIA Container runtime which is needed to run the container
	## Run the below steps

	### Add a new preference entry in /etc/apt/preferences.d/pop-default-settings

	Package: *
	Pin: origin nvidia.github.io
	Pin-Priority: 1002
	#!/bin/bash

	set -e

	sudo apt-get -y install libsecret-1-0 libsecret-1-dev libglib2.0-dev
	sudo make --directory=/usr/share/doc/git/contrib/credential/libsecret
	git config --global credential.helper /usr/share/doc/git/contrib/credential/libsecret/git-credential-libsecret
	sudo apt update
	sudo add-apt-repository ppa:graphics-drivers/ppa
	sudo apt install nvidia-driver-535-server
	sudo apt install linux-modules-nvidia-535-server-generic
	sudo apt-cache policy linux-modules-nvidia-535-server-$(uname -r)
	sudo apt install linux-modules-nvidia-535-server-generic
	sudo reboot
	sudo apt update
	sudo lsmod \| grep nouveau
	sudo lsmod \| grep nvidia
	nats: encountered error
	Traceback (most recent call last):
	File "/root/.local/lib/python3.10/site-packages/nats/aio/client.py", line 1301, in _select_next_server
	await self._transport.connect(
	File "/root/.local/lib/python3.10/site-packages/nats/aio/transport.py", line 118, in connect
	r, w = await asyncio.wait_for(
	File "/usr/local/lib/python3.10/asyncio/tasks.py", line 445, in wait_for
	return fut.result()
	File "/usr/local/lib/python3.10/asyncio/streams.py", line 48, in open_connection
	transport, _ = await loop.create_connection(
	from pathlib import Path

	text = Path(text_filepath).read_text()
	image_data = Path(binary_filepath).read_bytes()
	from pprint import pprint

	import numpy as np
	import pandas as pd


	def fill_first_base_price_of_above_one_window(df, indices):
	df["window_base_price"].at[indices[-1]] = df["base_price"].at[indices[0]]
	import warnings


	def view_connectome(adjacency_matrix,
	node_coords,
	edge_threshold=None,
	edge_cmap=cm.cyan_orange,
	symmetric_cmap=True,
	linewidth=6.,
	node_size=3.,
	# each library should be imported in a separate line and arranged alphabetically.
	import csv
	import glob
	import hashlib
	import os

	# replace with file location
	r'''
	path = r'/mnt/chromeos/MyFiles/Downloads/CSVs/'
	files = glob.glob(path + r"/*.csv")