code: def gh_268_hang_spec():
      return json.loads(
          r""" 
      {
        "$schema": "https://vega.github.io/schema/vega/v5.json",
        "data": [
          {
            "name": "interval_intervalselection__store"
          },
          {
            "name": "legend_pointselection__store"
          },
          {
            "name": "pivot_hover_32f2e9aa_f08a_4fb5_aa8a_ab3f2cc94a1d_store"
          },
          {
            "name": "movies_clean",
            "url": "vegafusion+dataset://movies_clean"
          },
          {
            "name": "data_0",
            "source": "movies_clean",
            "transform": [
              {
                "type": "formula",
                "expr": "toDate(datum[\"Release Date\"])",
                "as": "Release Date"
              }
            ]
          },
          {
            "name": "data_2",
            "source": "data_0",
            "transform": [
              {
                "field": "Release Date",
                "type": "timeunit",
                "units": [
                  "year"
                ],
                "as": [
                  "year_Release Date",
                  "year_Release Date_end"
                ]
              }
            ]
          },
          {
            "name": "data_3",
            "source": "data_2",
            "transform": [
              {
                "type": "filter",
                "expr": "!length(data(\"interval_intervalselection__store\")) || vlSelectionTest(\"interval_intervalselection__store\", datum)"
              },
              {
                "type": "filter",
                "expr": "time('1986-11-09T18:28:05.617') <= time(datum[\"year_Release Date\"]) && time(datum[\"year_Release Date\"]) <= time('2001-09-16T22:23:39.144')"
              },
              {
                "type": "filter",
                "expr": "!length(data(\"legend_pointselection__store\")) || vlSelectionTest(\"legend_pointselection__store\", datum)"
              }
            ]
          }
        ]
      }
      """
      )
  
imports: import pandas
  import pytest
  from pandas import Timestamp, NaT
  import pyarrow
  import vegafusion
  import json
  import polars
  from datetime import date
  import decimal
  import base64
label_desc: Use image node_id 10 for calling a global function with example usage: gh_268_hang_spec() and returns: json