class_docstr: Dictionary-valued parameter. This Parameter can contain other Parameters,
  its value is a dict, with keys the ones provided as input, and corresponding values are
  either directly the provided values if they are not Parameter instances, or the value of those
  Parameters. It also implements a getter to access the Parameters directly if need be.
  
  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 _layered_set_value(self, value: tp.Dict[str, tp.Any]) -> None:
      cls = self.__class__.__name__
      if not isinstance(value, dict):
          raise TypeError(
              f"{cls} value must be a dict, got: {value}\nCurrent value: {self.value}"
          )
      if set(value) != set(self):
          raise ValueError(
              f"Got input keys {set(value)} for {cls} but expected {set(self._content)}\nCurrent value: {self.value}"
          )
      for key, val in value.items():
          self._content[key].value = val
  
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 6 for calling the Dict obj's underlying member method code with example usage: obj._layered_set_value(value) without return types