code: def remove_spaces(s):
      return re.sub(r"\s+", "", s)
  
imports: from numpy.core.numeric import array_equal
  import pytest
  import re
  import unittest
  import metric_learn
  import numpy
  from sklearn import clone
  from test.test_utils import ids_metric_learners, metric_learners, remove_y
  from metric_learn.sklearn_shims import set_random_state, SKLEARN_AT_LEAST_0_22
label_desc: Use image node_id 1 for calling a global function with example usage: remove_spaces(s) and returns: re