code: def text_stats(posts):
      return [
          {"length": len(text), "num_sentences": text.count(".")}
          for text in posts
      ]
  
file_path: scikit-learn/examples/compose/plot_column_transformer.py
imports: import numpy
  from sklearn.compose import ColumnTransformer
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.decomposition import PCA
  from sklearn.feature_extraction import DictVectorizer
  from sklearn.feature_extraction.text import TfidfVectorizer
  from sklearn.metrics import classification_report
  from sklearn.pipeline import Pipeline
  from sklearn.preprocessing import FunctionTransformer
  from sklearn.svm import LinearSVC
label_desc: Use image node_id 2 for calling a global function with example usage: text_stats(posts) and returns: unknown