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{
  "a":"END",
  "b":"START",
  "c":"\n",
  "d":"the",
  "e":"I",
  "f":"to",
  "g":"and",
  "h":"a",
  "i":"of",

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{
  "d":{
    0:{"c":8,"aw":9,…,"i6":34,"d7":35},
    1:{"c":7,"bB":8,…,"gm":46,"aj":47},
    2:{"cP":1,"bG":2,…,"k9":51,"mc":52}
  }
}

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# Read the file into a dataframe.
with open('dictionary/instance_types_en.ttl', 'r', encoding="utf8") as f:
    f.readline()
    for l in f.readlines():
        try:
            split = l.split(' ')
            rows.append((split[0].split('/')[-1], split[2]))
        except:
            print(l)
            

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df = pd.read_csv(
    'dictionary/conceptnet-assertions-5.5.5.csv.gz', 
    sep='\t', header=None, 
    names=['uri', 'relation', 'from', 'to', 'json']
)
df = df[['from', 'json']].drop_duplicates(subset='from')
df = df[(df['from'].str.extract(r'/./([^/]*)/.*') == 'en')]
df['from'] = df['from'].str.extract(r'/./[^/]*/([^/]*).*')
df = df[
    df['json'].str.contains('verbosity') |

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**.bin
.ipynb_checkpoints

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void setup() {
  // put your setup code here, to run once:
  Serial.begin(9600);
  pinMode(13, OUTPUT);
}

void loop() {
  // put your main code here, to run repeatedly:
  int sensorValue = analogRead(A5);
  Serial.println(sensorValue);

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