code: def test_find_issues_low_memory():
      X = DATA["X_train"]
      labels = DATA["labels"]
      pred_probs = estimate_cv_predicted_probabilities(
          X=X, labels=labels, seed=SEED
      )
      issues_df = CleanLearning().find_label_issues(
          labels=labels, pred_probs=pred_probs
      )
      issues_df_lm = CleanLearning(low_memory=True).find_label_issues(
          labels=labels, pred_probs=pred_probs
      )
      # check jaccard similarity:
      intersection = len(
          list(set(issues_df).intersection(set(issues_df_lm)))
      )
      union = (
          len(set(issues_df)) + len(set(issues_df_lm)) - intersection
      )
      assert float(intersection) / union > 0.95
      # Without pred_probs
      issues_df = CleanLearning(
          low_memory=True, verbose=True, seed=SEED
      ).find_label_issues(X=X, labels=labels)
      assert issues_df.equals(issues_df_lm)
      # With unused arguments find_label_issues_kwargs and noise_matrix
      find_label_issues_kwargs = {"min_examples_per_class": 2}
      issues_df = CleanLearning(
          low_memory=True,
          find_label_issues_kwargs=find_label_issues_kwargs,
          seed=SEED,
      ).find_label_issues(
          X=X, labels=labels, noise_matrix=DATA["noise_matrix"]
      )
      assert issues_df.equals(issues_df_lm)
  
imports: from copy import deepcopy
  import warnings
  from sklearn.linear_model import LogisticRegression
  from sklearn.base import BaseEstimator
  from sklearn.model_selection import GridSearchCV
  import scipy
  import pytest
  import numpy
  import pandas
  from cleanlab.classification import CleanLearning
  from cleanlab.benchmarking.noise_generation import generate_noise_matrix_from_trace
  from cleanlab.benchmarking.noise_generation import generate_noisy_labels
  from cleanlab.internal.latent_algebra import compute_inv_noise_matrix
  from cleanlab.count import compute_confident_joint, estimate_cv_predicted_probabilities, get_confident_thresholds
  from cleanlab.filter import find_label_issues
label_desc: Use image node_id 35 for calling a global function with example usage: test_find_issues_low_memory() without return types