theSage21

import numpy as np
from tqdm import tqdm
from multiprocessing import Pool


file_name = "test.gro"  #Should be changed
frame_count = 14        #Should be changed
line_count = 4014	#Should be changed
Lz = 2.84               #Should be changed
Lx = 6.95

theSage21

from tqdm import tqdm
from multiprocessing import Pool

def myfn(x):
  return x ** 2


with Pool() as pool:
  args = list(range(1_000_000))
  work = pool.imap_unordered(myfn, args, chunksize=100)

theSage21

import requests


name = 'tfidf_benchmark'
contest = 'marco-search'
fpath = 'output'
files = {"upload": open(fpath, 'rb')}
url = 'https://models.clapresearch.com/api/submit'

requests.post(url, data={"user": name, "contest": contest},

theSage21

sudo apt install libncurses5-dev libgnome2-dev libgnomeui-dev \
libgtk2.0-dev libatk1.0-dev libbonoboui2-dev \
libcairo2-dev libx11-dev libxpm-dev libxt-dev python-dev \
python3-dev ruby-dev lua5.1 liblua5.1-dev libperl-dev git

sudo apt remove vim vim-runtime gvim

git clone https://github.com/vim/vim.git
cd vim/src

theSage21

---

title: A Rainforest in Machine Learning author: Arjoonn Sharma @ CLAP Research patat: incrementalLists: true ...

gg

theSage21

import aiohttp
import asyncio
import async_timeout
from tqdm import tqdm

TIMEOUT_LIMIT = 50

async def _get(url, json, pbar):
    async with aiohttp.ClientSession() as session:
        for _ in range(100):

theSage21

'''Trains a simple convnet on the MNIST dataset.

Gets to 99.25% test accuracy after 12 epochs
(there is still a lot of margin for parameter tuning).
16 seconds per epoch on a GRID K520 GPU.
'''

import os
from __future__ import print_function
import keras

theSage21

import asyncio
import aiohttp
import async_timeout



headers = {}
links = []  # TODO: Populate this somehow with urls
done = asyncio.Queue()

theSage21

dashboard "Food":
  - h1 text: Food
  - h2 text: By caloric content
  - 2 columns:
    - attr:query: '[to_entries | .[] | {"component": "rows", "data": [
      {"component": "text", "args": {"tagName": "h3"}, "data": .key},
      {"component": "chart", "args": {"type": "line"}, "data": {"columns": .value}}
    ]}]'
    - data: https://gist.githubusercontent.com/theSage21/9ca3a5b55ec324599d1baea229c19e27/raw/e81c3109a2c72ad5d718f18e846d6044022e91d7/data.json

theSage21

{
  "Bananas": [1,2,3, 4, 5],
  "Tofu" : [1, 1.5, 3],
}