code: def generate_sentences(min_, max_, vocab_size):
      vocab_sample = random.sample(VOCAB, vocab_size)
      return [
          " ".join(
              random.sample(vocab_sample, random.randint(min_, max_))
          )
          for _ in range(200)
      ]
  
file_path: lightwood/tests/unit_tests/encoder/text/test_short.py
imports: import random
  import unittest
  from lightwood.encoder.text.short import ShortTextEncoder
  from type_infer.rule_based.helpers import tokenize_text
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: generate_sentences(min_, max_, vocab_size) and returns: unknown