mirror of
https://github.com/osm-search/Nominatim.git
synced 2026-02-16 15:47:58 +00:00
Merge pull request #3659 from lonvia/custom-datrie-structure
Replace datrie library with a simple custom Python implementation
This commit is contained in:
@@ -37,7 +37,6 @@ Furthermore the following Python libraries are required:
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* [Jinja2](https://palletsprojects.com/p/jinja/)
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* [PyICU](https://pypi.org/project/PyICU/)
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* [PyYaml](https://pyyaml.org/) (5.1+)
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* [datrie](https://github.com/pytries/datrie)
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These will be installed automatically when using pip installation.
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@@ -70,7 +70,7 @@ To set up the virtual environment with all necessary packages run:
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virtualenv ~/nominatim-dev-venv
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~/nominatim-dev-venv/bin/pip install\
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psutil psycopg[binary] PyICU SQLAlchemy \
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python-dotenv jinja2 pyYAML datrie behave \
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python-dotenv jinja2 pyYAML behave \
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mkdocs mkdocstrings mkdocs-gen-files pytest pytest-asyncio flake8 \
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types-jinja2 types-markupsafe types-psutil types-psycopg2 \
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types-pygments types-pyyaml types-requests types-ujson \
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@@ -19,7 +19,6 @@ dependencies = [
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"python-dotenv",
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"jinja2",
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"pyYAML>=5.1",
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"datrie",
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"psutil",
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"PyICU"
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]
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@@ -2,7 +2,7 @@
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#
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# This file is part of Nominatim. (https://nominatim.org)
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#
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# Copyright (C) 2024 by the Nominatim developer community.
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# Copyright (C) 2025 by the Nominatim developer community.
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# For a full list of authors see the git log.
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"""
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Generic processor for names that creates abbreviation variants.
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@@ -10,12 +10,11 @@ Generic processor for names that creates abbreviation variants.
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from typing import Mapping, Dict, Any, Iterable, Iterator, Optional, List, cast
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import itertools
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import datrie
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from ...errors import UsageError
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from ...data.place_name import PlaceName
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from .config_variants import get_variant_config
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from .generic_mutation import MutationVariantGenerator
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from .simple_trie import SimpleTrie
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# Configuration section
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@@ -25,8 +24,7 @@ def configure(rules: Mapping[str, Any], normalizer: Any, _: Any) -> Dict[str, An
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"""
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config: Dict[str, Any] = {}
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config['replacements'], config['chars'] = get_variant_config(rules.get('variants'),
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normalizer)
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config['replacements'], _ = get_variant_config(rules.get('variants'), normalizer)
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config['variant_only'] = rules.get('mode', '') == 'variant-only'
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# parse mutation rules
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@@ -68,12 +66,8 @@ class GenericTokenAnalysis:
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self.variant_only = config['variant_only']
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# Set up datrie
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if config['replacements']:
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self.replacements = datrie.Trie(config['chars'])
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for src, repllist in config['replacements']:
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self.replacements[src] = repllist
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else:
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self.replacements = None
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self.replacements: Optional[SimpleTrie[List[str]]] = \
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SimpleTrie(config['replacements']) if config['replacements'] else None
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# set up mutation rules
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self.mutations = [MutationVariantGenerator(*cfg) for cfg in config['mutations']]
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@@ -116,10 +110,10 @@ class GenericTokenAnalysis:
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pos = 0
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force_space = False
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while pos < baselen:
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full, repl = self.replacements.longest_prefix_item(baseform[pos:],
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(None, None))
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if full is not None:
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done = baseform[startpos:pos]
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frm = pos
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repl, pos = self.replacements.longest_prefix(baseform, pos)
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if repl is not None:
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done = baseform[startpos:frm]
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partials = [v + done + r
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for v, r in itertools.product(partials, repl)
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if not force_space or r.startswith(' ')]
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@@ -128,11 +122,10 @@ class GenericTokenAnalysis:
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# to be helpful. Only use the original term.
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startpos = 0
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break
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startpos = pos + len(full)
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if full[-1] == ' ':
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startpos -= 1
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if baseform[pos - 1] == ' ':
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pos -= 1
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force_space = True
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pos = startpos
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startpos = pos
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else:
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pos += 1
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force_space = False
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84
src/nominatim_db/tokenizer/token_analysis/simple_trie.py
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84
src/nominatim_db/tokenizer/token_analysis/simple_trie.py
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@@ -0,0 +1,84 @@
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# SPDX-License-Identifier: GPL-3.0-or-later
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#
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# This file is part of Nominatim. (https://nominatim.org)
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#
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# Copyright (C) 2025 by the Nominatim developer community.
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# For a full list of authors see the git log.
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"""
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Simple dict-based implementation of a trie structure.
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"""
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from typing import TypeVar, Generic, Tuple, Optional, List, Dict
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from collections import defaultdict
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T = TypeVar('T')
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class SimpleTrie(Generic[T]):
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""" A simple read-only trie structure.
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This structure supports examply one lookup operation,
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which is longest-prefix lookup.
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"""
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def __init__(self, data: Optional[List[Tuple[str, T]]] = None) -> None:
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self._tree: Dict[str, 'SimpleTrie[T]'] = defaultdict(SimpleTrie[T])
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self._value: Optional[T] = None
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self._prefix = ''
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if data:
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for key, value in data:
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self._add(key, 0, value)
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self._make_compact()
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def _add(self, word: str, pos: int, value: T) -> None:
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""" (Internal) Add a sub-word to the trie.
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The word is added from index 'pos'. If the sub-word to add
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is empty, then the trie saves the given value.
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"""
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if pos < len(word):
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self._tree[word[pos]]._add(word, pos + 1, value)
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else:
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self._value = value
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def _make_compact(self) -> None:
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""" (Internal) Compress tree where there is exactly one subtree
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and no value.
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Compression works recursively starting at the leaf.
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"""
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for t in self._tree.values():
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t._make_compact()
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if len(self._tree) == 1 and self._value is None:
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assert not self._prefix
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for k, v in self._tree.items():
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self._prefix = k + v._prefix
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self._tree = v._tree
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self._value = v._value
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def longest_prefix(self, word: str, start: int = 0) -> Tuple[Optional[T], int]:
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""" Return the longest prefix match for the given word starting at
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the position 'start'.
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The function returns a tuple with the value for the longest match and
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the position of the word after the match. If no match was found at
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all, the function returns (None, start).
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"""
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cur = self
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pos = start
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result: Tuple[Optional[T], int] = None, start
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while True:
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if cur._prefix:
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if not word.startswith(cur._prefix, pos):
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return result
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pos += len(cur._prefix)
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if cur._value:
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result = cur._value, pos
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if pos >= len(word) or word[pos] not in cur._tree:
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return result
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cur = cur._tree[word[pos]]
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pos += 1
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37
test/python/tokenizer/token_analysis/test_simple_trie.py
Normal file
37
test/python/tokenizer/token_analysis/test_simple_trie.py
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@@ -0,0 +1,37 @@
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# SPDX-License-Identifier: GPL-3.0-or-later
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#
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# This file is part of Nominatim. (https://nominatim.org)
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#
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# Copyright (C) 2025 by the Nominatim developer community.
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# For a full list of authors see the git log.
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"""
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Tests for simplified trie structure.
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"""
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from nominatim_db.tokenizer.token_analysis.simple_trie import SimpleTrie
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def test_single_item_trie():
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t = SimpleTrie([('foob', 42)])
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assert t.longest_prefix('afoobar') == (None, 0)
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assert t.longest_prefix('afoobar', start=1) == (42, 5)
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assert t.longest_prefix('foob') == (42, 4)
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assert t.longest_prefix('123foofoo', 3) == (None, 3)
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def test_complex_item_tree():
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t = SimpleTrie([('a', 1),
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('b', 2),
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('auto', 3),
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('buto', 4),
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('automat', 5),
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('bu', 6),
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('bx', 7)])
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assert t.longest_prefix('a') == (1, 1)
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assert t.longest_prefix('au') == (1, 1)
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assert t.longest_prefix('aut') == (1, 1)
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assert t.longest_prefix('auto') == (3, 4)
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assert t.longest_prefix('automat') == (5, 7)
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assert t.longest_prefix('automatx') == (5, 7)
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assert t.longest_prefix('butomat') == (4, 4)
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assert t.longest_prefix('butomat', 1) == (None, 1)
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