code: def get_distribution(GC_fraction):
      return DiscreteDistribution(
          {
              "A": (1 - GC_fraction) / 2,
              "C": GC_fraction / 2,
              "G": GC_fraction / 2,
              "T": (1 - GC_fraction) / 2,
          }
      )
  
file_path: deepchem/contrib/dragonn/simulations.py
imports: from __future__ import absolute_import, division, print_function
  from collections import OrderedDict
  import numpy
  import simdna
  from simdna.synthetic import RepeatedEmbedder, SubstringEmbedder, ReverseComplementWrapper, UniformPositionGenerator, InsideCentralBp, LoadedEncodeMotifs, PwmSamplerFromLoadedMotifs, UniformIntegerGenerator, ZeroOrderBackgroundGenerator, EmbedInABackground, GenerateSequenceNTimes, RandomSubsetOfEmbedders, IsInTraceLabelGenerator, EmbeddableEmbedder, PairEmbeddableGenerator
  from simdna.util import DiscreteDistribution
label_desc: Use image node_id 1 for calling a global function with example usage: get_distribution(GC_fraction) and returns: DiscreteDistribution