code: def movielens_implicit_interactions(movielens_implicit_df):
      return Interactions(
          users=movielens_implicit_df["user_id"],
          items=movielens_implicit_df["item_id"],
          ratings=movielens_implicit_df["rating"],
          num_negative_samples=10,
          max_number_of_samples_to_consider=200,
          allow_missing_ids=True,
      )
  
imports: import pytest
  from sklearn.model_selection import train_test_split
  from collie.cross_validation import random_split, stratified_split
  from collie.interactions import ExplicitInteractions, Interactions
  from collie.movielens import get_movielens_metadata, get_user_metadata, read_movielens_df, read_movielens_df_item, read_movielens_df_user, read_movielens_posters_df
  from collie.utils import convert_to_implicit
label_desc: Use image node_id 9 for calling a global function with example usage: movielens_implicit_interactions(movielens_implicit_df) and returns: Interactions