code: def norm(x):
      """Dot product-based Euclidean norm implementation.
  
      See: http://fa.bianp.net/blog/2011/computing-the-vector-norm/
  
      Parameters
      ----------
      x : array-like
          Vector for which to compute the norm.
      """
      return sqrt(squared_norm(x))
  
imports: import itertools
  import time
  import warnings
  from abc import ABC
  from math import sqrt
  from numbers import Integral, Real
  import numpy
  import scipy.sparse
  from scipy import linalg
  from .._config import config_context
  from ..base import BaseEstimator, ClassNamePrefixFeaturesOutMixin, TransformerMixin, _fit_context
  from ..exceptions import ConvergenceWarning
  from ..utils import check_array, check_random_state, gen_batches, metadata_routing
  from ..utils._param_validation import Hidden, Interval, StrOptions, validate_params
  from ..utils.extmath import randomized_svd, safe_sparse_dot, squared_norm
  from ..utils.validation import check_is_fitted, check_non_negative
  from ._cdnmf_fast import _update_cdnmf_fast
label_desc: Use image node_id 1 for calling a global function with example usage: norm(x) and returns: sqrt