Nested Dictionary Update with Depth Preservation
In Python, updating a nested dictionary can be tricky, especially when you want to merge its contents with another dictionary while preserving specific values at different depths. Consider the following scenario:
Given two dictionaries, dictionary1 and update, how can we update dictionary1 with the contents of update without overwriting a particular value at the deepest level (e.g., "levelA") while updating all other values?
dictionary1 = { "level1": { "level2": {"levelA": 0, "levelB": 1} } } update = { "level1": { "level2": {"levelB": 10} } }
If we simply use the update method, it overwrites the entire "level2" subdictionary, losing the "levelA" value:
dictionary1.update(update) print(dictionary1)
{ "level1": { "level2": {"levelB": 10} } }
To tackle this challenge, we need a recursive solution that considers the variable depth of the dictionaries and merges values appropriately.
Recursive Solution:
The following code implements a recursive "partial update" function that updates dictionary values without overwriting specified keys:
import copy def partial_update(d, u, preserve): for k, v in u.items(): if isinstance(v, dict): if d.get(k, None) is None: d[k] = copy.deepcopy(v) else: partial_update(d[k], v, preserve) elif k in preserve: continue else: d[k] = copy.deepcopy(v) return d
The partial_update function takes three arguments:
To preserve the "levelA" value in our example, we can use the following code:
partial_update(dictionary1, update, ["levelA"]) print(dictionary1)
{ "level1": { "level2": {"levelA": 0, "levelB": 10} } }
In this solution, we make a copy of the dictionaries before updating to prevent unexpected modifications. This ensures that the original dictionaries remain intact even after the partial update.
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