Python API- Inefficient deserialization/serialization of state variables within a batch

In the Python API state variables can be accessed via the UserFacingContext:

variable = context.storage.variable

This calls into the Cell instance for that state variable which has get() & set() methods.  The get() method always deserializes from the typed_value and the set() always re-serializes and marks the cell dirty.

This has two side effects

1:

var1 = context.storage.variable

var2 = context.storage.variable

id(var2) != id(var1) - they are different instances

2:

In a large batch (say 1000 calls to the same function type and id) this can result in deserializing and re-serializing the same same state variable 1000 times when really it only needs to be deserialized in the first invocation in the batch, held in memory until the last invocation and then re-serialized prior to collecting the mutations.  

I think this can be improved by having a lazily initialized backing field in the Cell class but I don't know if this was a conscious design decision to have the behavior described in 1. 

Any feedback would be welcome.