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const YOUR_SLACK_WEBHOOK = "";
const HEALTH_CHECK_TARGET = "";

async function notify(text) {
  return fetch(YOUR_SLACK_WEBHOOK, {
    method: "POST",
    body: JSON.stringify({
      text
    }),
    headers: {

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diff --git a/packages/ui/error-boundary.tsx b/packages/ui/error-boundary.tsx
index 626f574..81a69bb 100644
--- a/packages/ui/error-boundary.tsx
+++ b/packages/ui/error-boundary.tsx
@@ -38,10 +38,7 @@ class ErrorBoundary extends Component<Props, State> {
       const eventId = this.state.eventId as any;
       return (
         <>
-          <Button onClick={() => Sentry.showReportDialog({ eventId })}>
-            Report feedback

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Traceback (most recent call last):
  File "twitter_features_test.py", line 28, in <module>
    tagged_tweets = TwitterParser.tag(example_tweets)
  File "/Users/peterkong/local/penn/530/530project/feature-extraction/twitter-features/TwitterParser.py", line 18, in tag
    output = str(subprocess.check_output(cmd, stderr=FNULL))
  File "/Users/peterkong/miniconda3/lib/python3.6/subprocess.py", line 336, in check_output
    **kwargs).stdout
  File "/Users/peterkong/miniconda3/lib/python3.6/subprocess.py", line 418, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['/Users/peterkong/local/penn/530/530project/feature-extraction/twitter-features/ark-tweet-nlp/runTagger.sh', '/Users/peterkong/local/penn/530/530project/feature-extraction/twitter-features/tweets.txt']' returned non-zero exit status 1.

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void print_ether(struct ether_header *eptr){
    printf("Ether: type: %s", eth_type_to_s(eptr->ether_type));

    printf(" src: %02X:%02X:%02X:%02X:%02X:%02X", 
    eptr->ether_shost[0],
    eptr->ether_shost[1],
    eptr->ether_shost[2],
    eptr->ether_shost[3],
    eptr->ether_shost[4],
    eptr->ether_shost[5]); 

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vectorizer = TfidfVectorizer( stop_words='english')
vectorizer.fit_transform([ARRAY_OF_STRINGS])

xtest = vectorizer.fit_transform(["the quick brown fox", "jumped over the lazy dog"])

model = RandomForestClassifier(n_estimators=10)
print np.exp(model.predict_proba(xtest.toarray()))


# ValueError: Number of features of the model must  match the input. Model n_features is 10070 and  input n_features is 3

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module Foo
  module ClassMethods
    def find(params = nil)
      puts "\"find\" called, with context = #{self}"
    end
  end
  
  def self.included(klass)
    klass.extend ClassMethods
  end

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[first_arg, everything_else... ] = ['a','quick','brown','fox']
console.log first_arg
console.log everything_else

#=> a
#=> [ 'quick', 'brown', 'fox' ]

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require 'spec_helper'
require 'factory_girl'

FactoryGirl.find_definitions #stops execution here

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#ajax_test.js.rjs:
page.replace_html('foobar', "hi this is ajax from ajax test!")


#posts_controller.rb:
class PostsController < ApplicationController

def ajax_test
    respond_to do |format|
      format.js