cpave3

#if defined(ESP32)
#include <WiFiMulti.h>
WiFiMulti wifiMulti;
#define DEVICE "ESP32"
#elif defined(ESP8266)
#include <ESP8266WiFiMulti.h>
ESP8266WiFiMulti wifiMulti;
#define DEVICE "ESP8266"
#endif

asafc

"""
you may run this example with uvicorn, by using this command:

uvicorn opalogger:app --reload
"""

import gzip
from typing import Callable, List

from fastapi import Body, FastAPI, Request, Response

asafc

version: "3.8"
services:
  # When scaling the opal-server to multiple nodes and/or multiple workers, we use
  # a *broadcast* channel to sync between all the instances of opal-server.
  # Under the hood, this channel is implemented by encode/broadcaster (see link below).
  # At the moment, the broadcast channel can be either: postgresdb, redis or kafka.
  # The format of the broadcaster URI string (the one we pass to opal server as `OPAL_BROADCAST_URI`) is specified here:
  # https://github.com/encode/broadcaster#available-backends
  broadcast_channel:
    image: postgres:alpine

hongbo-miao

Version 2/18/2021

The script is for IT employees who work in Shanghai office.

Feel free to contact me if you have any questions.

How to use the script?

Step 1

33eyes

Commit jupyter notebooks code to git and keep output locally

1. Add a filter to git config by running the following command in bash inside the repo:

git config filter.strip-notebook-output.clean 'jupyter nbconvert --ClearOutputPreprocessor.enabled=True --to=notebook --stdin --stdout --log-level=ERROR'  

2. Create a .gitattributes file inside the directory with the notebooks

3. Add the following to that file:

mgechev

<link rel="shortcut icon" width=32px>
<canvas style="display: none" id="loader" width="16" height="16"></canvas>

<script>
class Loader {
  constructor(link, canvas) {
    this.link = link;
    this.canvas = canvas;
    this.context = canvas.getContext('2d');
    this.context.lineWidth = 2;

hongbo-miao

/* Front End */
import { CollectorTraceExporter } from '@opentelemetry/exporter-collector';
import { DocumentLoad } from '@opentelemetry/plugin-document-load';
import { XMLHttpRequestPlugin } from '@opentelemetry/plugin-xml-http-request';
import { BatchSpanProcessor, ConsoleSpanExporter } from '@opentelemetry/tracing';
import { WebTracerProvider } from '@opentelemetry/web';

const tracerProvider = new WebTracerProvider({
  plugins: [new DocumentLoad(), new XMLHttpRequestPlugin()],
});

iansu

Using React 17 and the new JSX transform with Create React App 4.0 Alpha

Create React App 4.0 is currently in alpha and supports using React 17 and the new JSX transform. To use it, follow these instructions.

Create a new app

Create a new app with npx create-react-app@next --scripts-version=@next --template=cra-template@next my-js-app

Update to React 17

alukach

# .github/workflows/app.yaml
name: My Python Project
on: push

jobs:
  test:
    runs-on: ubuntu-latest
    timeout-minutes: 10

    services:

hongxuenong

from math import sqrt

import torch
from tqdm import tqdm
import matplotlib.pyplot as plt
import networkx as nx
from torch_geometric.nn import MessagePassing
from torch_geometric.data import Data
from torch_geometric.utils import k_hop_subgraph, to_networkx
import numpy as np