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chore: drop Python 3.9 (and syntax) (#6289)

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* `strict=False` is the default, pyupgrade to min version 3.10 adds this
to be explicit w/ behavior
This commit is contained in:
Sydney Runkle
2025-10-16 20:17:46 -04:00
committed by GitHub
parent 06f9142419
commit 2d3121a17c
113 changed files with 730 additions and 1489 deletions
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libs/checkpoint-postgres/tests/test_async_store.py
-6
View File
@@ -3,7 +3,6 @@ from __future__ import annotations
import asyncio
import itertools
import sys
import uuid
from collections.abc import AsyncIterator
from concurrent.futures import ThreadPoolExecutor
@@ -34,9 +33,6 @@ TTL_MINUTES = TTL_SECONDS / 60
@pytest.fixture(scope="function", params=["default", "pipe", "pool"])
async def store(request) -> AsyncIterator[AsyncPostgresStore]:
if sys.version_info < (3, 10):
pytest.skip("Async Postgres tests require Python 3.10+")
database = f"test_{uuid.uuid4().hex[:16]}"
uri_parts = DEFAULT_URI.split("/")
uri_base = "/".join(uri_parts[:-1])
@@ -358,8 +354,6 @@ async def _create_vector_store(
text_fields: list[str] | None = None,
) -> AsyncIterator[AsyncPostgresStore]:
"""Create a store with vector search enabled."""
if sys.version_info < (3, 10):
pytest.skip("Async Postgres tests require Python 3.10+")
database = f"test_{uuid.uuid4().hex[:16]}"
uri_parts = DEFAULT_URI.split("/")
libs/checkpoint-postgres/tests/test_store.py
+3 -3
View File
@@ -754,7 +754,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
similarities = []
for y in Y:
dot_product = sum(a * b for a, b in zip(X, y))
dot_product = sum(a * b for a, b in zip(X, y, strict=False))
norm1 = sum(a * a for a in X) ** 0.5
norm2 = sum(a * a for a in y) ** 0.5
similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
@@ -771,7 +771,7 @@ def _inner_product(X: list[float], Y: list[list[float]]) -> list[float]:
similarities = []
for y in Y:
similarity = sum(a * b for a, b in zip(X, y))
similarity = sum(a * b for a, b in zip(X, y, strict=False))
similarities.append(similarity)
return similarities
@@ -785,7 +785,7 @@ def _neg_l2_distance(X: list[float], Y: list[list[float]]) -> list[float]:
similarities = []
for y in Y:
similarity = sum((a - b) ** 2 for a, b in zip(X, y)) ** 0.5
similarity = sum((a - b) ** 2 for a, b in zip(X, y, strict=False)) ** 0.5
similarities.append(-similarity)
return similarities