ducks 🦆
Index your Python objects for fast lookup by their attributes.
Install
pip install ducksUsage
The main container in ducks is called Dex.
from ducks import Dex
# make some objects
objects = [
{'x': 3, 'y': 'a'},
{'x': 6, 'y': 'b'},
{'x': 9, 'y': 'c'}
]
# Create a Dex containing the objects.
# Index on x and y.
dex = Dex(objects, ['x', 'y'])
# match objects
dex[{
'x': {'>': 5, '<': 10}, # where 5 < x < 10
'y': {'in': ['a', 'b']} # and y is 'a' or 'b'
}]
# result: [{'x': 6, 'y': 'b'}]This is a Dex of dicts, but the objects can be any type.
Dex supports ==, !=, in, not in, <, <=, >, >=.
The indexes can be dict keys, object attributes, or custom functions.
Is Dex fast?
Yes. Here’s how Dex compares to other object-finders on an example task.
The closest thing to a Dex is an in-memory SQLite. While SQLite is a fantastic database, it requires more overhead. As such, Dex is generally faster.
Docs
There’s more to ducks than making a Dex of dicts. Continue in the docs.
1 maintainer
Metadata
1 maintainer
Release files for ducks 0.5.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| ducks-0.5.1.tar.gz | 15.7 kB | Without provenance | Details for ducks-0.5.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ducks-0.5.1-py3-none-any.whl | Python 3 | none | any | Details for ducks-0.5.1-py3-none-any.whl |
Total release size: 36.4 kB
Release files / ducks-0.5.1.tar.gz
| Download URL | ducks-0.5.1.tar.gz |
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| Size | 15.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / ducks-0.5.1-py3-none-any.whl
| Download URL | ducks-0.5.1-py3-none-any.whl |
|---|---|
| Size | 20.6 kB |
| Tags | Python 3 |
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Security for ducks 0.5.1
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