Here's a few things I tried to write output to a python subprocess pipe.
from subprocess import Popen, PIPE
p = Popen('less', stdin=PIPE)
for x in xrange(100):
p.communicate('Line number %d.\n' % x)
Here's a few things I tried to write output to a python subprocess pipe.
from subprocess import Popen, PIPE
p = Popen('less', stdin=PIPE)
for x in xrange(100):
p.communicate('Line number %d.\n' % x)
curl --header 'Authorization: token INSERTACCESSTOKENHERE' \ | |
--header 'Accept: application/vnd.github.v3.raw' \ | |
--remote-name \ | |
--location https://api.github.com/repos/owner/repo/contents/path | |
# Example... | |
TOKEN="INSERTACCESSTOKENHERE" | |
OWNER="BBC-News" | |
REPO="responsive-news" |
#!/usr/bin/env python | |
''' | |
Chemical data about a molecule. | |
Molecules are defined by SMILES strings. Can work out logP values, Lipinski's | |
rules, etc... | |
Uses rdkit | |
''' |
In this quick walkthough you'll learn how to create a separate branch in your repo to house your screenshots and demo gifs for use in your master's readme.
In order to prevent any loss of work it is best to clone the repo in a separate location to complete this task.
Create a new branch in your repo by using git checkout --orphan assets
FROM python:3 as build-system | |
RUN pip install -U pip | |
COPY requirements.txt requirements.txt | |
### create temporary image used to download and vendor packages using private key ### | |
FROM build-system as intermediate | |
# add credentials on build |
model.zero_grad() # Reset gradients tensors | |
for i, (inputs, labels) in enumerate(training_set): | |
predictions = model(inputs) # Forward pass | |
loss = loss_function(predictions, labels) # Compute loss function | |
loss = loss / accumulation_steps # Normalize our loss (if averaged) | |
loss.backward() # Backward pass | |
if (i+1) % accumulation_steps == 0: # Wait for several backward steps | |
optimizer.step() # Now we can do an optimizer step | |
model.zero_grad() # Reset gradients tensors | |
if (i+1) % evaluation_steps == 0: # Evaluate the model when we... |
/* | |
Copy this into the console of any web page that is interactive and doesn't | |
do hard reloads. You will hear your DOM changes as different pitches of | |
audio. | |
I have found this interesting for debugging, but also fun to hear web pages | |
render like UIs do in movies. | |
*/ | |
const audioCtx = new (window.AudioContext || window.webkitAudioContext)() |
import os | |
import time | |
import torch | |
from torch.nn import Linear, ReLU | |
from torch.profiler import profile, ProfilerActivity | |
from codeparrot.build_table import build_table | |
device = torch.device('cuda') |