code: def convert_puzzle_dict_to_puzzle(puzzle_dict: dict) -> Puzzle:
      """Converts a json dictionary representation of a puzzle to the Puzzle class."""
      puzzle_activation_records = []
      for sentence in puzzle_dict["sentences"]:
          # Token-activation pairs are listed as either a string or a list of a string and a float. If it is a list, the float is the activation.
          # If it is only a string, the activation is assumed to be 0. This is useful for readability and reducing redundancy in the data.
          tokens = [t[0] if type(t) is list else t for t in sentence]
          assert all(
              [type(t) is str for t in tokens]
          ), "All tokens must be strings"
          activations = [
              float(t[1]) if type(t) is list else 0.0 for t in sentence
          ]
          assert all(
              [type(t) is float for t in activations]
          ), "All activations must be floats"
  
          puzzle_activation_records.append(
              ActivationRecord(tokens=tokens, activations=activations)
          )
  
      return Puzzle(
          name=puzzle_dict["name"],
          explanation=puzzle_dict["explanation"],
          activation_records=puzzle_activation_records,
          false_explanations=puzzle_dict["false_explanations"],
      )
  
imports: import json
  import os
  from dataclasses import dataclass
  from neuron_explainer.activations.activations import ActivationRecord
label_desc: Use image node_id 2 for calling a global function with example usage: convert_puzzle_dict_to_puzzle(puzzle_dict) and returns: Puzzle