code: def _breakpoints(n_bins, scale=1.0):
      """Compute breakpoints for a given number of SAX symbols and a given
      Gaussian scale.
  
      Examples
      --------
      >>> _breakpoints(n_bins=2)
      array([0.])
      """
      return norm.ppf(
          [float(a) / n_bins for a in range(1, n_bins)], scale=scale
      )
  
imports: import numpy
  from scipy.stats import norm
  from sklearn.base import TransformerMixin
  from sklearn.utils.validation import check_is_fitted, check_array
  from tslearn.bases import BaseModelPackage, TimeSeriesBaseEstimator
  from tslearn.metrics.cysax import cydist_sax, cyslopes, cydist_1d_sax, inv_transform_1d_sax, inv_transform_sax, inv_transform_paa
  from tslearn.utils import ts_size, check_dims
label_desc: Use image node_id 2 for calling a global function with example usage: _breakpoints(n_bins, scale) and returns: norm