MultiKeyIterDict enhances the capabilities of the standard dictionary by supporting multiple keys, nested searches, and operations such as updates and merges (without loosing data) on dicts
pip install multikeyiterdict
Support for Multiple Keys:
MultiKeyIterDict enhances the capabilities of the standard dictionary by supporting multiple keys, nested searches, and operations such as updates and merges (without loosing data) on nested data structures. It is particularly beneficial when working with complex nested dictionaries or hierarchical data.
Nested Search:
MultiKeyIterDict provides methods such as nested_value_search and nested_key_search that allow you to search for values or keys within the nested structure of the dictionary. These methods can simplify searching and retrieval of specific values or keys within complex nested dictionaries.
Nested Update and Merge:
The nested_update and nested_merge methods enable updating and merging of dictionaries with nested key-value pairs. These methods handle the merging of nested data structures seamlessly, providing a convenient way to update or combine dictionaries with complex hierarchical data.
Iterable Keys and Values:
The nested_keys, nested_values, and nested_items methods generate iterable results for the nested keys, values, and items in the dictionary. This can be useful when you need to iterate over or process the nested elements of the dictionary.
from multikeyiterdict import MultiKeyIterDict
dict2 = {2: {"c": 222}, 3: {"d": {3, 6}}}
d = MultiKeyIterDict(dict2)
d[[1, 3, 4, 5, 67]] = 100
print(d[[1, 3]])
dd = {2: {"c": 222}, 3: {"d": {3, 6}}}
print(f"\n\n-----------------------\n{list(d)=}")
print(f"\n\n-----------------------\n{len(d)=}")
print(f"\n\n-----------------------\n{d[1]=}")
print(f"\n\n-----------------------\n{d[1][3]=}")
print(f"\n\n-----------------------\n{d[[1,3]]=}")
d[[23, 4, 5, 323]] = "x"
print(f"\n\n-----------------------\n" "d[[23,4,5,323]] = 'x'={d}" "")
print(f"\n\n-----------------------\n{23 in d=}")
del d[[1, 3]]
print(f"\n\n-----------------------\n" "del d[[1,3]]={d}" "")
del d[1]
print(f"\n\n-----------------------\n" "del d[1]={d}" "")
di2 = d.copy()
print(f"\n\n-----------------------\n{di2 == d=}")
print(f"\n\n-----------------------\n{di2 is d=}")
di2.clear()
print(f"\n\n-----------------------\n" "di2.clear()={di2}" "")
print(f"\n\n-----------------------\n{list(iter(d))=}")
print(f"\n\n-----------------------\n{d.get(2)=}")
print(f"\n\n-----------------------\n{d.get([23,4,5])=}")
print(f"\n\n-----------------------\n{d.items()=}")
print(f"\n\n-----------------------\n{d.keys()=}")
print(f"\n\n-----------------------\n{d.pop(3)=}")
print(f"\n\n-----------------------\n{d.pop([23,4,5])=}")
print(f"\n\n-----------------------\n{d.popitem()=}")
print(f"\n\n-----------------------\nafter d.popitem={d}")
dict2 = {2: {"c": 222}, 3: {"d": {3, 6}}, 4: 3, 33: {33: 2}}
d = MultiKeyIterDict(dict2)
print(f"\n\n-----------------------\n{list(d.reversed())=}")
d.update({4: {44: 4}})
print(f"\n\n-----------------------\nd.update...={d}")
d5 = d | {3: 4}
d |= {3: 4}
print(f"\n\n-----------------------\nd |= {{3:4}}={d}")
print(f"\n\n-----------------------\n{d.to_dict()=}")
#########################################
print(f"\n\n-----------------------\n{list(d.nested_items())=}")
print(f"\n\n-----------------------\n{list(d.nested_values())=}")
print(f"\n\n-----------------------\n{list(d.nested_keys())=}")
print(f"\n\n-----------------------\n{list(d.nested_value_search(4))=}")
d[[1, 3, 4, 5, 67]] = 100
for key in d.nested_key_search(67):
print(key)
for key in d.nested_key_search(4):
print(key)
d7 = d.nested_merge({221: 2, 3: 4})
print(f"\n\n-----------------------\nafter nested merge {d7=}")
d.nested_update({221: 2, 3: 4})
print(f"\n\n-----------------------\nafter nested update {d=}")
#########################################
{4: {5: {67: 100}}}
-----------------------
list(d)=[2, 3, 1]
-----------------------
len(d)=3
-----------------------
d[1]={3: {4: {5: {67: 100}}}}
-----------------------
d[1][3]={4: {5: {67: 100}}}
-----------------------
d[[1,3]]={4: {5: {67: 100}}}
-----------------------
d[[23,4,5,323]] = 'x'={d}
-----------------------
23 in d=True
-----------------------
del d[[1,3]]={d}
-----------------------
del d[1]={d}
-----------------------
di2 == d=True
-----------------------
di2 is d=False
-----------------------
di2.clear()={di2}
-----------------------
list(iter(d))=[2, 3, 23]
-----------------------
d.get(2)={'c': 222}
-----------------------
d.get([23,4,5])={323: 'x'}
-----------------------
d.items()=dict_items([(2, {'c': 222}), (3, {'d': {3, 6}}), (23, {4: {5: {323: 'x'}}})])
-----------------------
d.keys()=dict_keys([2, 3, 23])
-----------------------
d.pop(3)={'d': {3, 6}}
-----------------------
d.pop([23,4,5])={323: 'x'}
-----------------------
d.popitem()=(2, {'c': 222})
-----------------------
after d.popitem={23: {4: {}}}
-----------------------
list(d.reversed())=[33, 4, 3, 2]
-----------------------
d.update...={2: {'c': 222},
3: {'d': {3,
6}},
4: {44: 4},
33: {33: 2}}
-----------------------
d |= {3:4}={2: {'c': 222},
3: 4,
4: {44: 4},
33: {33: 2}}
-----------------------
d.to_dict()={2: {'c': 222}, 3: 4, 4: {44: 4}, 33: {33: 2}}
-----------------------
list(d.nested_items())=[([2, 'c'], 222), ([3], 4), ([4, 44], 4), ([33, 33], 2)]
-----------------------
list(d.nested_values())=[222, 4, 4, 2]
-----------------------
list(d.nested_keys())=[[2, 'c'], [3], [4, 44], [33, 33]]
-----------------------
list(d.nested_value_search(4))=[[3]]
([1, 3, 4, 5, 67], 100)
([4], {44: 4})
([1, 3, 4], {5: {67: 100}})
-----------------------
after nested merge d7={2: {'c': 222}, 3: [4, 4], 4: {44: 4}, 33: {33: 2}, 1: {3: {4: {5: {67: 100}}}}, 221: 2}
-----------------------
after nested update d={1: {3: {4: {5: {67: 100}}}},
2: {'c': 222},
3: [4,
4],
4: {44: 4},
33: {33: 2},
221: 2}
Metadata
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