code: def test_to_dict(self):
      component = AzureOpenAIDocumentEmbedder(
          api_key="fake-api-key",
          azure_endpoint="https://example-resource.azure.openai.com/",
      )
      data = component.to_dict()
      assert data == {
          "type": "haystack.components.embedders.azure_document_embedder.AzureOpenAIDocumentEmbedder",
          "init_parameters": {
              "api_version": "2023-05-15",
              "azure_deployment": "text-embedding-ada-002",
              "azure_endpoint": "https://example-resource.azure.openai.com/",
              "organization": None,
              "prefix": "",
              "suffix": "",
              "batch_size": 32,
              "progress_bar": True,
              "meta_fields_to_embed": [],
              "embedding_separator": "\n",
          },
      }
  
imports: import os
  import pytest
  from haystack import Document
  from haystack.components.embedders import AzureOpenAIDocumentEmbedder
label_desc: Use image node_id 2 for calling the TestAzureOpenAIDocumentEmbedder obj's underlying member method code with example usage: obj.test_to_dict() without return types