`Hash`¶

Compute a hash of a given piece of data.

The resulting code can be used to index content-addressable data structures such as caches. None inputs can be subjected to special handling, as per the none_handling port. The running time of this operation is proportional to the complexity and size of the object. Note that the hash is not guaranteed to be stable across different versions of NeuroPype. For certain object types, including nodes (particularly those with state), graphs, and general objects, the hash may also be unstable across different runs of the same version of NeuroPype. More Info... Version 1.0.0

Ports/Properties¶

`data`¶

Data to hash.

verbose name: Data
default value: None
port type: DataPort
value type: object (can be None)
data direction: IN

`hash`¶

Hash code of the data.

verbose name: Hash
default value: None
port type: DataPort
value type: int (can be None)
data direction: OUT

`none_handling`¶

What to do when the input is None. If "hash", None will be hashed like any other value. If "passthrough", None will be emitted. If "error", an exception will be raised.

verbose name: None Handling
default value: hash
port type: EnumPort
value type: str (can be None)

`set_breakpoint`¶

Set a breakpoint on this node. If this is enabled, your debugger (if one is attached) will trigger a breakpoint.

verbose name: Set Breakpoint (Debug Only)
default value: False
port type: BoolPort
value type: bool (can be None)

`metadata`¶

User-definable meta-data associated with the node. Usually reserved for technical purposes.

verbose name: Metadata
default value: {}
port type: DictPort
value type: dict (can be None)

Hash¶

Ports/Properties¶

data¶

hash¶

none_handling¶

set_breakpoint¶