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chore: import upstream snapshot with attribution
2026-07-13 12:24:24 +08:00

131 lines
4.5 KiB
Python

"""Unit tests for :class:`JiebaTokenizer`.
Verify the contract that callers downstream depend on:
* clean token list (no whitespace, no empty strings),
* CJK + ASCII pass-through under ``cut_for_search`` segmentation,
* default stopword + ``min_length=2`` filter applied,
* batch preserves order.
The tokenizer is symmetric — cascade write side and search query side
both go through this code path, so changes here change BM25 recall on
both ends.
``JiebaTokenizer`` is imported inside each test (not at module level)
because ``jieba==0.42.1`` contains invalid escape sequences that
Python 3.12 treats as DeprecationWarning; our strict
``filterwarnings=["error"]`` converts those to errors during pytest
collection. Deferring the import to test-run time lets the per-module
``ignore`` filter take effect.
"""
from __future__ import annotations
import warnings
import pytest
from everos.component.tokenizer import build_tokenizer
def _make_tokenizer(**kwargs):
"""Import JiebaTokenizer at call time, suppressing jieba's warnings."""
with warnings.catch_warnings():
warnings.filterwarnings("ignore", "invalid escape sequence", DeprecationWarning)
from everos.component.tokenizer.jieba_provider import JiebaTokenizer
return JiebaTokenizer(**kwargs)
@pytest.fixture(autouse=True)
def _suppress_jieba_warnings():
"""Suppress jieba's invalid-escape DeprecationWarnings for all tests."""
with warnings.catch_warnings():
warnings.filterwarnings("ignore", "invalid escape sequence", DeprecationWarning)
yield
def test_tokenize_returns_list_for_english() -> None:
tokens = _make_tokenizer().tokenize("hello world")
assert tokens == ["hello", "world"]
def test_tokenize_drops_pure_whitespace() -> None:
"""Whitespace-only tokens never reach the BM25 column."""
tokens = _make_tokenizer().tokenize("foo bar")
assert all(t.strip() for t in tokens)
def test_tokenize_empty_input() -> None:
assert _make_tokenizer().tokenize("") == []
def test_tokenize_cjk_keeps_multichar_words() -> None:
"""``cut_for_search`` keeps multi-character compounds usable by BM25."""
tokens = _make_tokenizer().tokenize("我爱北京天安门")
# Single-char tokens (我 / 爱) are filtered by min_length=2 (and 我
# is also in the default stopword set). Multi-char compounds survive.
assert "我" not in tokens
assert "爱" not in tokens
assert "北京" in tokens
assert any(t in {"天安门", "天安"} for t in tokens)
def test_tokenize_drops_default_english_stopwords() -> None:
tokens = _make_tokenizer().tokenize("the quick brown fox")
assert "the" not in tokens
assert "quick" in tokens
assert "brown" in tokens
assert "fox" in tokens
def test_tokenize_drops_short_tokens_below_min_length() -> None:
"""Single-char ASCII tokens are dropped by the default ``min_length=2``."""
tokens = _make_tokenizer().tokenize("a quick b run")
assert "a" not in tokens
assert "b" not in tokens
assert "quick" in tokens
assert "run" in tokens
def test_tokenize_is_case_insensitive() -> None:
"""Lowercasing is part of the symmetric contract."""
tokens = _make_tokenizer().tokenize("HELLO World")
assert tokens == ["hello", "world"]
def test_extra_stopwords_extend_defaults() -> None:
tk = _make_tokenizer(extra_stopwords=frozenset({"hello"}))
tokens = tk.tokenize("hello world")
assert "hello" not in tokens
assert "world" in tokens
def test_custom_min_token_length_relaxes_filter() -> None:
"""Lower ``min_length`` lets shorter tokens through.
Stopword filter still applies — even at ``min_length=1`` the English
article ``"a"`` stays filtered because it's in the default stopwords.
"""
tokens = _make_tokenizer(min_token_length=1).tokenize("a quick b")
# 'a' is in the default English stopword set even at min_length=1.
assert "a" not in tokens
assert "b" in tokens
assert "quick" in tokens
def test_tokenize_batch_preserves_order() -> None:
tk = _make_tokenizer()
out = tk.tokenize_batch(["foo bar", "baz", ""])
assert len(out) == 3
assert out[2] == []
def test_build_tokenizer_returns_jieba_default() -> None:
"""Factory exposes the same JiebaTokenizer the cascade handler uses."""
with warnings.catch_warnings():
warnings.filterwarnings("ignore", "invalid escape sequence", DeprecationWarning)
from everos.component.tokenizer.jieba_provider import JiebaTokenizer
assert isinstance(build_tokenizer(), JiebaTokenizer)