code: def generate_dataframe_and_expected():
      np.random.seed(42)
      df = pd.DataFrame(
          np.random.randn(100, 3), columns=["x1", "x2", "x3"]
      )
      df["label"] = df["x2"] + 0.1 * df["x1"]
  
      return df, {"x2": 0.42, "x1": 0.0, "x3": 0.0}
  
file_path: deepchecks/tests/tabular/checks/integrity/identifier_label_correlation_test.py
imports: import numpy
  import pandas
  from hamcrest import assert_that, calling, close_to, greater_than, has_items, has_length, is_in, raises
  from deepchecks.core.errors import DatasetValidationError, DeepchecksNotSupportedError, DeepchecksValueError
  from deepchecks.tabular.checks.data_integrity.identifier_label_correlation import IdentifierLabelCorrelation
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 1 for calling a global function with example usage: generate_dataframe_and_expected() and returns: df,  dict