hang15

s3_resource = boto3.resource('s3')
s3_object = s3_resource.Object(bucket_name=bucket_name, key=object_key)
bodylines = get_object_bodylines(s3_object, offset)
resp = s3_object.get(Range=f'bytes={offset}-')
body: botocore.response.StreamingBody = resp['Body']

hang15

  MINIMUN_REMAINING_TIME_MS = 10000
  
  csv_reader = csv.DictReader(bodylines.iter_lines(), fieldnames=fieldnames)
  for row in csv_reader:
      ## process and do work
      if context.get_remaining_time_in_millis() < MINIMUN_REMAINING_TIME_MS:
          fieldnames = fieldnames or csv_reader.fieldnames
          break

hang15

mediainformer.click

hang15

import numpy as np


def plot_confusion_matrix(cm,
                          target_names,
                          title='Confusion matrix',
                          cmap=None,
                          normalize=True,
                          figsize=(8, 6)):
    """

hang15

{
    "swagger": "2.0",
    "info": {
        "description": "This is a sample server Petstore server.  You can find out more about Swagger at [http://swagger.io](http://swagger.io) or on [irc.freenode.net, #swagger](http://swagger.io/irc/).  For this sample, you can use the api key `special-key` to test the authorization filters.",
        "version": "1.0.5",
        "title": "Swagger Petstore",
        "termsOfService": "http://swagger.io/terms/",
        "contact": {
            "email": "apiteam@swagger.io"
        },

hang15

import { Botkit } from "botkit";

module.exports = function (controller: Botkit) {
    controller.on("app_mention", async (bot, message) => {
        await bot.reply(message, "I am mentioned.");
    });
};

hang15

{
    "compilerOptions": {
        "lib": ["es2019"],
        "module": "commonjs",
        "target": "es2019",
        "moduleResolution": "node",
        "types": [
            "node"
        ],
        "typeRoots": [

hang15

// lambda.js
'use strict'
const awsServerlessExpress = require('aws-serverless-express')
const controller = require('.')
const server = awsServerlessExpress.createServer(controller.webserver)

exports.handler = (event, context) => { awsServerlessExpress.proxy(server, event, context) }

hang15

module.exports = function (controller) {
    controller.on("app_mention", async (bot, message) => {
        await bot.reply(message, "I am mentioned.");
    });
};

hang15

// Load Environment variables from dotenv
require('dotenv').config();

const express = require("express");
const bodyParser = require("body-parser");
// Import Botkit's core features
const { Botkit } = require("botkit");
// Import a platform-specific adapter for slack.
const { SlackAdapter, SlackEventMiddleware } = require('botbuilder-adapter-slack');