code: def simple_motif_embedding(
      motif_name, seq_length, num_seqs, GC_fraction
  ):
      """
      Simulates sequences with a motif embedded anywhere in the sequence.
  
      Parameters
      ----------
      motif_name : str
          encode motif name
      seq_length : int
          length of sequence
      num_seqs: int
          number of sequences
      GC_fraction : float
          GC fraction in background sequence
  
      Returns
      -------
      sequence_arr : 1darray
          Array with sequence strings.
      embedding_arr: 1darray
          Array of embedding objects.
      """
      if motif_name is None:
          embedders = []
      else:
          substring_generator = PwmSamplerFromLoadedMotifs(
              loaded_motifs, motif_name
          )
          embedders = [
              SubstringEmbedder(
                  ReverseComplementWrapper(substring_generator)
              )
          ]
      embed_in_background = EmbedInABackground(
          ZeroOrderBackgroundGenerator(
              seq_length,
              discreteDistribution=get_distribution(GC_fraction),
          ),
          embedders,
      )
      generated_sequences = tuple(
          GenerateSequenceNTimes(
              embed_in_background, num_seqs
          ).generateSequences()
      )
      sequence_arr = np.array(
          [generated_seq.seq for generated_seq in generated_sequences]
      )
      embedding_arr = [
          generated_seq.embeddings
          for generated_seq in generated_sequences
      ]
      return sequence_arr, embedding_arr
  
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 2 for calling a global function with example usage: simple_motif_embedding(motif_name, seq_length, num_seqs, GC_fraction) and returns: sequence_arr,  embedding_arr