code: def get_euclidean_integral_gp_kernel(
      kernel_type,
      kernel_hyperparams,
      gp_cts_hps,
      gp_dscr_hps,
      use_same_bandwidth,
      add_gp_groupings=None,
      esp_kernel_type=None,
  ):
      """A method to parse the GP kernel from hyper-parameters. Assumes the scale is
      part of the hyper-parameters as well."""
      scale = np.exp(
          gp_cts_hps[0]
      )  # First the scale and then the rest of the hyper-params.
      gp_cts_hps = gp_cts_hps[1:]
      return get_euclidean_integral_gp_kernel_with_scale(
          kernel_type,
          scale,
          kernel_hyperparams,
          gp_cts_hps,
          gp_dscr_hps,
          use_same_bandwidth,
          add_gp_groupings,
          esp_kernel_type,
      )
  
imports: from __future__ import division
  from argparse import Namespace
  import numpy
  from .None import gp_core, mf_gp
  from .None import kernel
  from ..utils.ancillary_utils import get_list_of_floats_as_str
  from ..utils.general_utils import get_sublist_from_indices, map_to_bounds
  from ..utils.option_handler import get_option_specs, load_options
  from ..utils.oper_utils import random_sample_from_discrete_domain
  from ..utils.reporters import get_reporter
label_desc: Use image node_id 4 for calling a global function with example usage: get_euclidean_integral_gp_kernel(kernel_type, kernel_hyperparams, gp_cts_hps, gp_dscr_hps, use_same_bandwidth, add_gp_groupings, esp_kernel_type) and returns: get_euclidean_integral_gp_kernel_with_scale