# Create a Maskay dict object
S2files = cloudsen12.MaskayDict(
    path=s2idpath,
    pattern="\.jp2$",
    full_names=True,
    recursive=True,
    sensor="Sentinel-2"
)
tensor = cloudsen12.TensorSat(**S2files.to_dict(), cache=True, align=False)

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
[/usr/local/lib/python3.9/dist-packages/xarray/backends/file_manager.py](https://localhost:8080/#) in _acquire_with_cache_info(self, needs_lock)
    208             try:
--> 209                 file = self._cache[self._key]
    210             except KeyError:

9 frames
[/usr/local/lib/python3.9/dist-packages/xarray/backends/lru_cache.py](https://localhost:8080/#) in __getitem__(self, key)
     54         with self._lock:
---> 55             value = self._cache[key]
     56             self._cache.move_to_end(key)

KeyError: [<function open at 0x7fbd01291dc0>, ('/content/S2B_MSIL1C_20220701T141719_N0400_R010_T20MRC_20220702T063947.SAFE/GRANULE/L1C_T20MRC_A027778_20220701T141716/IMG_DATA/T20MRC_20220701T141719_B01.jp2',), 'r', (('sharing', False),), 'd757e1c2-348e-4b9b-ae2f-6ccaa845b615']

During handling of the above exception, another exception occurred:

CPLE_OpenFailedError                      Traceback (most recent call last)
rasterio/_base.pyx in rasterio._base.DatasetBase.__init__()

rasterio/_base.pyx in rasterio._base.open_dataset()

rasterio/_err.pyx in rasterio._err.exc_wrap_pointer()

CPLE_OpenFailedError: '/content/S2B_MSIL1C_20220701T141719_N0400_R010_T20MRC_20220702T063947.SAFE/GRANULE/L1C_T20MRC_A027778_20220701T141716/IMG_DATA/T20MRC_20220701T141719_B01.jp2' not recognized as a supported file format.

During handling of the above exception, another exception occurred:

RasterioIOError                           Traceback (most recent call last)
[<ipython-input-7-84414c94bd67>](https://localhost:8080/#) in <cell line: 9>()
      7     sensor="Sentinel-2"
      8 )
----> 9 tensor = cloudsen12.TensorSat(**S2files.to_dict(), cache=True, align=False)

[/usr/local/lib/python3.9/dist-packages/maskay/tensorsat.py](https://localhost:8080/#) in __init__(self, cache, align, Aerosol, Blue, Green, Red, RedEdge1, RedEdge2, RedEdge3, NIR, NIR2, WaterVapor, Cirrus, SWIR1, SWIR2, TIR1, TIR2, HV, VH, HH, VV)
     38         self.cache: bool = cache
     39         self.align: bool = align
---> 40         self.Aerosol: Union[str, np.ndarray, xr.DataArray] = Aerosol
     41         self.Blue: Union[str, np.ndarray, xr.DataArray] = Blue
     42         self.Green: Union[str, np.ndarray, xr.DataArray] = Green

[/usr/local/lib/python3.9/dist-packages/maskay/tensorsat.py](https://localhost:8080/#) in Aerosol(self, value)
    125     @Aerosol.setter
    126     def Aerosol(self, value):
--> 127         self._Aerosol = self.to_xarray(value)
    128 
    129     @property

[/usr/local/lib/python3.9/dist-packages/maskay/tensorsat.py](https://localhost:8080/#) in to_xarray(self, object)
     98         """
     99         if isinstance(object, str):
--> 100             with rioxarray.open_rasterio(object, "r") as src:
    101                 raster = np.squeeze(src, axis=0)
    102                 if self.cache:

[/usr/local/lib/python3.9/dist-packages/rioxarray/_io.py](https://localhost:8080/#) in open_rasterio(filename, parse_coordinates, chunks, cache, lock, masked, mask_and_scale, variable, group, default_name, decode_times, decode_timedelta, band_as_variable, **open_kwargs)
   1122         else:
   1123             manager = URIManager(file_opener, filename, mode="r", kwargs=open_kwargs)
-> 1124         riods = manager.acquire()
   1125         captured_warnings = rio_warnings.copy()
   1126 

[/usr/local/lib/python3.9/dist-packages/xarray/backends/file_manager.py](https://localhost:8080/#) in acquire(self, needs_lock)
    189             An open file object, as returned by ``opener(*args, **kwargs)``.
    190         """
--> 191         file, _ = self._acquire_with_cache_info(needs_lock)
    192         return file
    193 

[/usr/local/lib/python3.9/dist-packages/xarray/backends/file_manager.py](https://localhost:8080/#) in _acquire_with_cache_info(self, needs_lock)
    213                     kwargs = kwargs.copy()
    214                     kwargs["mode"] = self._mode
--> 215                 file = self._opener(*self._args, **kwargs)
    216                 if self._mode == "w":
    217                     # ensure file doesn't get overridden when opened again

[/usr/local/lib/python3.9/dist-packages/rasterio/env.py](https://localhost:8080/#) in wrapper(*args, **kwds)
    449 
    450         with env_ctor(session=session):
--> 451             return f(*args, **kwds)
    452 
    453     return wrapper

[/usr/local/lib/python3.9/dist-packages/rasterio/__init__.py](https://localhost:8080/#) in open(fp, mode, driver, width, height, count, crs, transform, dtype, nodata, sharing, **kwargs)
    302 
    303         if mode == "r":
--> 304             dataset = DatasetReader(path, driver=driver, sharing=sharing, **kwargs)
    305         elif mode == "r+":
    306             dataset = get_writer_for_path(path, driver=driver)(

rasterio/_base.pyx in rasterio._base.DatasetBase.__init__()

RasterioIOError: '/content/S2B_MSIL1C_20220701T141719_N0400_R010_T20MRC_20220702T063947.SAFE/GRANULE/L1C_T20MRC_A027778_20220701T141716/IMG_DATA/T20MRC_20220701T141719_B01.jp2' not recognized as a supported file format.