code: def tau_rand(state):
      """A fast (pseudo)-random number generator for floats in the range [0,1]
  
      Parameters
      ----------
      state: array of int64, shape (3,)
          The internal state of the rng
  
      Returns
      -------
      A (pseudo)-random float32 in the interval [0, 1]
      """
      integer = tau_rand_int(state)
      return abs(float(integer) / 0x7FFFFFFF)
  
file_path: umap/umap/utils.py
imports: import time
  from warnings import warn
  import numpy
  import numba
  from sklearn.utils.validation import check_is_fitted
  import scipy.sparse
label_desc: Use image node_id 3 for calling a global function with example usage: tau_rand(state) and returns: abs