1
0
Fork 0

Adding upstream version 10.0.1.

Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
Daniel Baumann 2025-02-13 14:52:26 +01:00
parent 24752785d9
commit 1e860cc299
Signed by: daniel
GPG key ID: FBB4F0E80A80222F
98 changed files with 4080 additions and 1666 deletions

View file

@ -1,5 +1,26 @@
def new_trie(keywords):
trie = {}
import typing as t
key = t.Sequence[t.Hashable]
def new_trie(keywords: t.Iterable[key]) -> t.Dict:
"""
Creates a new trie out of a collection of keywords.
The trie is represented as a sequence of nested dictionaries keyed by either single character
strings, or by 0, which is used to designate that a keyword is in the trie.
Example:
>>> new_trie(["bla", "foo", "blab"])
{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}
Args:
keywords: the keywords to create the trie from.
Returns:
The trie corresponding to `keywords`.
"""
trie: t.Dict = {}
for key in keywords:
current = trie
@ -11,7 +32,28 @@ def new_trie(keywords):
return trie
def in_trie(trie, key):
def in_trie(trie: t.Dict, key: key) -> t.Tuple[int, t.Dict]:
"""
Checks whether a key is in a trie.
Examples:
>>> in_trie(new_trie(["cat"]), "bob")
(0, {'c': {'a': {'t': {0: True}}}})
>>> in_trie(new_trie(["cat"]), "ca")
(1, {'t': {0: True}})
>>> in_trie(new_trie(["cat"]), "cat")
(2, {0: True})
Args:
trie: the trie to be searched.
key: the target key.
Returns:
A pair `(value, subtrie)`, where `subtrie` is the sub-trie we get at the point where the search stops, and `value`
is either 0 (search was unsuccessfull), 1 (`value` is a prefix of a keyword in `trie`) or 2 (`key is in `trie`).
"""
if not key:
return (0, trie)