code: def test_ci_report_with_offset(confidence_interval):
      """Verify output of CI report when using with_offset."""
      report_split = ci_report(
          confidence_interval, with_offset=True
      ).split(
          "\n"
      )  # default
      amp_values = [
          abs(float(val)) for val in report_split[1].split()[2:]
      ]
      assert np.all(np.less(np.delete(amp_values, 3), 0.2))
  
      report_split = ci_report(
          confidence_interval, with_offset=False
      ).split("\n")
      amp_values = [float(val) for val in report_split[1].split()[2:]]
      assert np.all(np.greater(amp_values, 13))
  
imports: import numpy
  import pytest
  import lmfit
  from lmfit import Minimizer, Parameters, ci_report, conf_interval, fit_report, report_ci, report_fit
  from lmfit.lineshapes import gaussian
  from lmfit.models import GaussianModel
  from lmfit.printfuncs import alphanumeric_sort, correl_table, fitreport_html_table, getfloat_attr, gformat
label_desc: Use image node_id 26 for calling a global function with example usage: test_ci_report_with_offset(confidence_interval) without return types