class_docstr: Parameter which can hold other parameters.
  This abstract implementation is based on a dictionary.
  
  Parameters
  ----------
  **parameters: Any
      the objects or Parameter which will provide values for the dict
  
  Note
  ----
  This is the base structure for all container Parameters, and it is
  used to hold the internal/model parameters for all Parameter classes.
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code: def _internal_set_standardized_data(
      self: D, data: np.ndarray, reference: D
  ) -> None:
      if self._sizes is None:
          self.get_standardized_data(reference=self)
      assert self._sizes is not None
      if data.size != sum(v for v in self._sizes.values()):
          raise ValueError(
              f"Unexpected shape {data.shape} for {self} with dimension {self.dimension}:\n{data}"
          )
      data = data.ravel()
      start, end = 0, 0
      for name, size in self._sizes.items():
          end = start + size
          self._content[name].set_standardized_data(
              data[start:end], reference=reference[name]
          )
          start = end
      assert end == len(
          data
      ), f"Finished at {end} but expected {len(data)}"
  
imports: from collections import OrderedDict
  import numpy
  import nevergrad.common.typing
  from .None import utils
  from .None import core
label_desc: Use image node_id 11 for calling the Container obj's underlying member method code with example usage: obj._internal_set_standardized_data(data, reference) without return types