code: def test_conf_interval_normal_method_no_conditionals(data):
      """Testing "conf_interval" function, normal method, with no conditioning."""
      df = data["df"]
      new_df = data["new_df"]
      # ``quantile_estimation_method = "normal_fit"``;
      # with no ``conditional_cols``
      for conditional_cols in [None, []]:
          ci_model = conf_interval(
              df=df,
              distribution_col="residual",
              offset_col="y",
              conditional_cols=conditional_cols,
              quantiles=[0.005, 0.025, 0.975, 0.995],
              quantile_estimation_method="normal_fit",
              sample_size_thresh=5,
              small_sample_size_method="std_quantiles",
              small_sample_size_quantile=0.95,
              min_admissible_value=None,
              max_admissible_value=None,
          )
  
          pred_df = predict_ci(new_df, ci_model)
          assert list(pred_df.columns) == list(df.columns) + [
              QUANTILE_SUMMARY_COL,
              ERR_STD_COL,
          ], "pred_df does not have the expected column names"
          pred_df[QUANTILE_SUMMARY_COL] = pred_df[
              QUANTILE_SUMMARY_COL
          ].apply(lambda x: tuple(round(e, 2) for e in x))
          assert pred_df[QUANTILE_SUMMARY_COL].values[5] == (
              290.05,
              290.37,
              292.42,
              292.74,
          ), "quantiles are incorrect"
          assert pred_df[QUANTILE_SUMMARY_COL].values[11] == (
              -5.41,
              -5.08,
              -3.04,
              -2.72,
          ), "quantiles are incorrect"
  
file_path: greykite/greykite/tests/algo/uncertainty/conditional/test_conf_interval.py
imports: import numpy
  import pytest
  from greykite.algo.uncertainty.conditional.conf_interval import conf_interval
  from greykite.algo.uncertainty.conditional.conf_interval import predict_ci
  from greykite.common.constants import ERR_STD_COL
  from greykite.common.constants import QUANTILE_SUMMARY_COL
  from greykite.common.testing_utils import gen_sliced_df
label_desc: Use image node_id 8 for calling a global function with example usage: test_conf_interval_normal_method_no_conditionals(data) without return types