code: def test_source_to_and_from_json():
      url = "http://mywebsite.com/path/to/my/dataset.txt"
      source = HTTPDatasetSource(url)
      assert source.to_json() == json.dumps({"url": url})
  
      reloaded_source = get_dataset_source_from_json(
          source.to_json(), source_type=source._get_source_type()
      )
      assert isinstance(reloaded_source, HTTPDatasetSource)
      assert type(source) == type(reloaded_source)
      assert source.url == reloaded_source.url == url
  
file_path: mlflow/tests/data/test_http_dataset_source.py
imports: import json
  import os
  from unittest import mock
  import pandas
  import pytest
  from mlflow.data.dataset_source_registry import get_dataset_source_from_json, resolve_dataset_source
  from mlflow.data.http_dataset_source import HTTPDatasetSource
  from mlflow.exceptions import MlflowException
  from mlflow.utils.os import is_windows
  from mlflow.utils.rest_utils import cloud_storage_http_request
label_desc: Use image node_id 1 for calling a global function with example usage: test_source_to_and_from_json() without return types