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{
  "location": {
    "name": "Nederland",
    "region": "Colorado",
    "country": "United States of America",
    "lat": 39.96,
    "lon": -105.5,
    "tz_id": "America/Denver",
    "localtime_epoch": 1608142276,
    "localtime": "2020-12-16 11:11"

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Environment

URL: Stage: <dev/staging/qa/prod> (if applicable)

Logs

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export const calculateLoadTimes = () => {
  // Check performance support
  if (performance === undefined) {
    return [];
  }

  // Get a list of "resource" performance entries
  const resources = performance.getEntriesByType("resource");
  if (resources === undefined || resources.length <= 0) {
    return [];

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Packing version 98c8d04-master

Deploying to Scrapy Cloud project "373200"

Deploy log last 3 lines:

{"message": "500 Server Error: Internal Server Error for url: https://kumo-builder-prod.dc21.scrapinghub.com:2376/v1.27/auth", "error": "internal_error"}

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from sklearn.ensemble import RandomForestClassifier
clf = RandomForestClassifier()
target_variable = 'does-make-more-than-50k'
columns = ['age', 'education', 'hours-worked-per-week']
clf.fit(df[columns], df[target_variable])

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version: '3.3'

services:
 db:
   image: mysql:5.7
   volumes:
     - dbdata:/var/lib/mysql
   restart: always
   environment:
     MYSQL_ROOT_PASSWORD: somewordpress

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" Generated by Color Theme Generator at Sweyla
" http://sweyla.com/themes/seed/690000/

set background=dark

hi clear

if exists("syntax_on")
  syntax reset
endif

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" Generated by Color Theme Generator at Sweyla
" http://sweyla.com/themes/seed/690000/

set background=dark

hi clear

if exists("syntax_on")
  syntax reset
endif

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#!/usr/bin/env bash

# make sure the user running this script has permission to run docker
docker ps > /dev/null

# remove "<none>" images
docker rmi -f $(docker images | grep none | awk '{ print $3 }')
# cleanup exited containers
docker rm -f $(docker ps -f status=exited -q)

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from __future__ import print_function
import numpy as np
np.random.seed(1337)  # for reproducibility

from keras.preprocessing import sequence
from keras.models import Sequential
from keras.layers import Dense, Flatten
from keras.layers import Embedding
from keras.layers import AveragePooling1D
from keras.datasets import imdb