stackstac returns xarray data array with duplicated time coordinates

stackstac_dupl_coords.ipynb

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    "### stackstac.stac is still returning duplicated time coordinate values"
   ]
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       "((4, 1, 185098, 134598),\n",
       " <xarray.DataArray 'time' (time: 4)>\n",
       " array(['2020-06-01T00:00:00.000000000', '2020-06-01T00:00:00.000000000',\n",
       "        '2020-06-01T00:00:00.000000000', '2020-06-01T00:00:00.000000000'],\n",
       "       dtype='datetime64[ns]')\n",
       " Coordinates: (12/13)\n",
       "   * time               (time) datetime64[ns] 2020-06-01 ... 2020-06-01\n",
       "     id                 (time) <U8 '15S-2020' '15R-2020' '14S-2020' '14R-2020'\n",
       "     io:supercell_id    (time) <U3 '15S' '15R' '14S' '14R'\n",
       "     proj:epsg          (time) int64 32615 32615 32614 32614\n",
       "     end_datetime       <U20 '2021-01-01T00:00:00Z'\n",
       "     label:type         <U6 'raster'\n",
       "     ...                 ...\n",
       "     io:tile_id         (time) <U3 '15S' '15R' '14S' '14R'\n",
       "     label:classes      object {'name': '', 'classes': ['nodata', 'water', 'tr...\n",
       "     label:description  <U4 'lulc'\n",
       "     start_datetime     <U20 '2020-01-01T00:00:00Z'\n",
       "     raster:bands       object {'nodata': 0, 'spatial_resolution': 10}\n",
       "     epsg               int64 3857)"
      ]
     },
     "execution_count": 17,
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     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import planetary_computer as pc\n",
    "import pystac_client\n",
    "import stackstac\n",
    "\n",
    "catalog = pystac_client.Client.open(\n",
    "    \"https://planetarycomputer.microsoft.com/api/stac/v1/\"\n",
    ")\n",
    "point = {\"type\": \"Point\", \"coordinates\": [-97.807733, 33.2133019]}\n",
    "\n",
    "io_lulc_search = catalog.search(collections=[\"io-lulc\"], intersects=point)\n",
    "io_lulc_items = [pc.sign(item).to_dict() for item in io_lulc_search.get_items()]\n",
    "data = stackstac.stack(io_lulc_items, assets=[\"data\"], epsg=3857)\n",
    "\n",
    "data.shape, data.time"
   ]
  }
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