class_docstr: Test flatten_dictionary.
class_docstr_tok: ["Test","flatten_dictionary","."]
docstr: Test if the output of flatten_dictionary is correct.
docstr_tok: ["Test","if","the","output","of","flatten_dictionary","is","correct","."]
code: def test_flatten_dictionary_prefix(self):
      """Test if the output of flatten_dictionary is correct."""
      nested_dictionary = {
          "a": {
              "b": {
                  "c": 1,
                  "d": 2,
              },
              "e": 3,
          },
      }
      expected_output = {
          "Test.a.b.c": 1,
          "Test.a.b.d": 2,
          "Test.a.e": 3,
      }
      observed_output = flatten_dictionary(
          nested_dictionary, prefix="Test"
      )
      self._compare(observed_output, expected_output)
  
imports: import functools
  import itertools
  import operator
  import random
  import string
  import timeit
  import unittest
  from typing import Iterable, Tuple
  import numpy
  import pytest
  import torch
  from pykeen.utils import _weisfeiler_lehman_iteration, _weisfeiler_lehman_iteration_approx, calculate_broadcasted_elementwise_result_shape, clamp_norm, combine_complex, compact_mapping, compose, estimate_cost_of_sequence, flatten_dictionary, get_optimal_sequence, get_until_first_blank, iter_weisfeiler_lehman, logcumsumexp, project_entity, set_random_seed, split_complex, tensor_product, tensor_sum
label_desc: Use image node_id 3 for calling the FlattenDictionaryTest obj's underlying member method code with example usage: obj.test_flatten_dictionary_prefix() without return types