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Exemple

sqlalchemy 2.0.51: update

Échantillon vérifié pour pypi sqlalchemy 2.0.51: update. Le contrat s'est exécuté sur python 3.12 · linux debian/x64 · docker et a réussi.

sha256:d4f839bf47621a37ca65ac8731752c466cb14e847e1e96aa115bebfaf1bb421b

Ce réseau offre une seule chose : un échantillon qui compile. Il l'a exécuté dans un bac à sable et conservé le reçu signé. Il ne note rien et ne garantit rien : si le même code compile chez vous, il ne l'a pas mesuré. Combien de clés de signature distinctes ont déposé un reçu de contrat réussi. Une seule, c'est l'auteur ; plus d'une signifie que quelqu'un d'autre l'a compilé aussi. Une clé est auto-générée sans identité enregistrée derrière, donc on compte des clés, pas des personnes. MIT-0

Preuves d'exécution

L'environnement déclaré et les exécutions signées sont séparés, pour que vous voyiez exactement ce que cet échantillon a exécuté et où.

Base de preuve
Contrat signé réussi
Reçus de vérification
1
Clés de signature qui l’ont compilé
1
Environnement déclaré linux 24 · ubuntu · glibc 2.39 x64 pip

Environnements des exécutions de vérification

Environnement Contrat Étapes Exécution
python 3.12 · linux debian/x64 · docker ed25519:c1973797be207ac4 PASS compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS
CONTAINER_RUN · python@1python:3.12-slim@sha256:09f7da3bc104…		 2026-09-02

Cas

HOW
Objectif
verify sqlalchemy.update in pkg:pypi/sqlalchemy@2.0.51
Paquets
Symboles
  • sqlalchemy.update
Créé
2026-09-02T13:05:13Z

Contrat

  1. update constructs an Update statement with where() and values() to update matching rows and returns matched rowcount
  2. update executes column arithmetic expressions to modify existing column values in place
  3. update supports returning() clause to return updated column values upon execution
  4. update executes parameterized batch updates across multiple rows using bindparam and parameter dictionaries
  5. update executes updates using scalar subqueries within values clause
  6. update executes within ORM 2.0 Session via session.execute with model entity

Fichiers

  • PROMPT.md
  • csx.json
  • pyproject.toml
  • requirements.txt
  • sample.py
  • spec.json
  • test/contract.py
  • uv.lock

Télécharger l’artefact source (tar.gz)

Code source

PROMPT.md
Clean-room public code sample — generation instructions

Write a brand-new, minimal, self-contained code sample in this clean-room directory.
Do not copy, paraphrase, or reference any existing project source. Work only from this spec.

A csx.json manifest scaffold already exists. Do not recreate it from memory. Preserve its case.goal, packages and symbols; fill its empty case.contract with exact assertions and correct its environment, commands and verifierAdapter for the files you generate.

Goal: verify sqlalchemy.update in pkg:pypi/sqlalchemy@2.0.51
Kind: HOW

Use EXACTLY these public packages and versions:
  - pkg:pypi/sqlalchemy@2.0.51
Demonstrate these symbols/APIs:
  - sqlalchemy.update

Rules:
  - One focused purpose; the smallest project that proves the goal.
  - Include a contract test (test/contract.*) that runs OFFLINE and exits 0 exactly when the goal behavior works.
  - Pin every dependency with a lockfile so resolution is reproducible.
  - No secrets, credentials, or tokens. No real URLs (only example.com or localhost). No absolute paths.
  - No personal names, emails, company names, or project identifiers of any kind.
  - No binaries and no generated output (node_modules, dist, target, venv, .git, .env).
  - Keep it under 200 files and 256KB packed.
csx.json
{"case":{"caseId":"case:sha256:cc6168b776301ee23657afd71f70dab475d3dac91d2472e7b5da1de0b26ebec7","contract":["update constructs an Update statement with where() and values() to update matching rows and returns matched rowcount","update executes column arithmetic expressions to modify existing column values in place","update supports returning() clause to return updated column values upon execution","update executes parameterized batch updates across multiple rows using bindparam and parameter dictionaries","update executes updates using scalar subqueries within values clause","update executes within ORM 2.0 Session via session.execute with model entity"],"goal":"verify sqlalchemy.update in pkg:pypi/sqlalchemy@2.0.51","kind":"HOW","packages":["pkg:pypi/sqlalchemy@2.0.51"],"schemaVersion":1,"symbols":["sqlalchemy.update"]},"contractCommand":["python","test/contract.py"],"environment":{"arch":"x64","distro":"ubuntu","ecosystem":"pypi","libc":"glibc","libcVersion":"2.39","os":"linux","osVersionBucket":"24","packageManager":"pip","schemaVersion":1},"license":"MIT-0","packages":["pkg:pypi/sqlalchemy@2.0.51"],"schemaVersion":1,"subject":"pkg:pypi/sqlalchemy@2.0.51","symbols":["sqlalchemy.update"],"verifierAdapter":"python@1"}
pyproject.toml
[project]
name = "verify-sqlalchemy-update"
version = "0.1.0"
dependencies = [
    "sqlalchemy==2.0.51",
]
requirements.txt
sqlalchemy==2.0.51
sample.py
"""Demonstration of SQL UPDATE statements and ORM updates using sqlalchemy.update."""

from typing import Any, Dict, List, Optional, Tuple
from sqlalchemy import (
    Column,
    Integer,
    MetaData,
    String,
    Table,
    bindparam,
    select,
    update,
)
from sqlalchemy.engine import Engine
from sqlalchemy.orm import DeclarativeBase, Mapped, Session, mapped_column


def create_core_schema(metadata: MetaData) -> Tuple[Table, Table]:
    """Define users and bonuses tables for Core update demonstrations."""
    users = Table(
        "users",
        metadata,
        Column("id", Integer, primary_key=True, autoincrement=True),
        Column("name", String(50), nullable=False),
        Column("status", String(20), nullable=False),
        Column("score", Integer, nullable=False, default=0),
    )
    bonuses = Table(
        "bonuses",
        metadata,
        Column("user_id", Integer, primary_key=True),
        Column("extra_points", Integer, nullable=False),
    )
    return users, bonuses


class Base(DeclarativeBase):
    """Declarative base class for ORM models."""
    pass


class OrmUser(Base):
    """Declarative ORM model for users."""

    __tablename__ = "orm_users"

    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
    name: Mapped[str] = mapped_column(String(50), nullable=False)
    status: Mapped[str] = mapped_column(String(20), nullable=False)
    score: Mapped[int] = mapped_column(Integer, nullable=False, default=0)


def update_status_by_id(engine: Engine, table: Table, user_id: int, new_status: str) -> int:
    """Update user status for matching row and return affected row count."""
    stmt = update(table).where(table.c.id == user_id).values(status=new_status)
    with engine.begin() as conn:
        result = conn.execute(stmt)
        return result.rowcount


def increment_score_by_expression(engine: Engine, table: Table, user_id: int, delta: int) -> int:
    """Update user score using column expression arithmetic and return affected row count."""
    stmt = update(table).where(table.c.id == user_id).values(score=table.c.score + delta)
    with engine.begin() as conn:
        result = conn.execute(stmt)
        return result.rowcount


def update_with_returning(
    engine: Engine, table: Table, user_id: int, new_status: str, delta: int
) -> Optional[Tuple[int, str, int]]:
    """Update row with returning() clause to fetch updated values in a single round-trip."""
    stmt = (
        update(table)
        .where(table.c.id == user_id)
        .values(status=new_status, score=table.c.score + delta)
        .returning(table.c.id, table.c.status, table.c.score)
    )
    with engine.begin() as conn:
        row = conn.execute(stmt).fetchone()
        if row is None:
            return None
        return (row[0], row[1], row[2])


def batch_update_scores(engine: Engine, table: Table, updates: List[Dict[str, Any]]) -> int:
    """Execute parameterized batch updates using bindparam."""
    stmt = (
        update(table)
        .where(table.c.id == bindparam("b_id"))
        .values(score=bindparam("b_score"), status=bindparam("b_status"))
    )
    with engine.begin() as conn:
        result = conn.execute(stmt, updates)
        return result.rowcount


def update_from_scalar_subquery(engine: Engine, users_table: Table, bonus_table: Table) -> int:
    """Update column using a scalar subquery from another table."""
    subq = (
        select(bonus_table.c.extra_points)
        .where(bonus_table.c.user_id == users_table.c.id)
        .scalar_subquery()
    )
    stmt = (
        update(users_table)
        .where(users_table.c.id.in_(select(bonus_table.c.user_id)))
        .values(score=users_table.c.score + subq)
    )
    with engine.begin() as conn:
        result = conn.execute(stmt)
        return result.rowcount


def update_orm_entity(session: Session, user_id: int, new_status: str, score_delta: int) -> int:
    """Execute an update statement using an ORM Declarative model within a Session."""
    stmt = (
        update(OrmUser)
        .where(OrmUser.id == user_id)
        .values(status=new_status, score=OrmUser.score + score_delta)
    )
    result = session.execute(stmt)
    session.commit()
    return result.rowcount
spec.json
{
  "schemaVersion": 1,
  "goal": "verify sqlalchemy.update in pkg:pypi/sqlalchemy@2.0.51",
  "kind": "HOW",
  "packages": [
    "pkg:pypi/sqlalchemy@2.0.51"
  ],
  "symbols": [
    "sqlalchemy.update"
  ]
}
test/contract.py
"""Contract verification tests for sqlalchemy.update in SQLAlchemy 2.0."""

import os
import sys

# Ensure project root is on sys.path for local module imports
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from sqlalchemy import MetaData, create_engine, insert, select
from sqlalchemy.orm import Session
from sample import (
    Base,
    OrmUser,
    batch_update_scores,
    create_core_schema,
    increment_score_by_expression,
    update_from_scalar_subquery,
    update_orm_entity,
    update_status_by_id,
    update_with_returning,
)


def test_update_where_and_values() -> None:
    """Assertion 1: update constructs an Update statement with where() and values() to update matching rows and returns matched rowcount."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users, _ = create_core_schema(metadata)
    metadata.create_all(engine)

    with engine.begin() as conn:
        conn.execute(
            insert(users),
            [
                {"name": "Alice", "status": "pending", "score": 10},
                {"name": "Bob", "status": "pending", "score": 20},
            ],
        )

    # Update Alice's status
    count = update_status_by_id(engine, users, user_id=1, new_status="active")
    assert count == 1, f"Expected 1 affected row, got {count}"

    with engine.connect() as conn:
        alice = conn.execute(select(users.c.name, users.c.status).where(users.c.id == 1)).fetchone()
        bob = conn.execute(select(users.c.name, users.c.status).where(users.c.id == 2)).fetchone()
        assert alice is not None and alice == ("Alice", "active")
        assert bob is not None and bob == ("Bob", "pending")


def test_update_column_arithmetic_expression() -> None:
    """Assertion 2: update executes column arithmetic expressions to modify existing column values in place."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users, _ = create_core_schema(metadata)
    metadata.create_all(engine)

    with engine.begin() as conn:
        conn.execute(
            insert(users),
            [{"name": "Charlie", "status": "active", "score": 50}],
        )

    # Increment Charlie's score by 25
    count = increment_score_by_expression(engine, users, user_id=1, delta=25)
    assert count == 1, f"Expected 1 affected row, got {count}"

    with engine.connect() as conn:
        row = conn.execute(select(users.c.score).where(users.c.id == 1)).fetchone()
        assert row is not None and row[0] == 75


def test_update_with_returning() -> None:
    """Assertion 3: update supports returning() clause to return updated column values upon execution."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users, _ = create_core_schema(metadata)
    metadata.create_all(engine)

    with engine.begin() as conn:
        conn.execute(
            insert(users),
            [{"name": "Diana", "status": "inactive", "score": 100}],
        )

    # Update and return updated columns
    result = update_with_returning(engine, users, user_id=1, new_status="active", delta=15)
    assert result is not None
    user_id, status, score = result
    assert user_id == 1
    assert status == "active"
    assert score == 115

    with engine.connect() as conn:
        row = conn.execute(select(users.c.status, users.c.score).where(users.c.id == 1)).fetchone()
        assert row is not None and row == ("active", 115)


def test_batch_update_scores() -> None:
    """Assertion 4: update executes parameterized batch updates across multiple rows using bindparam and parameter dictionaries."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users, _ = create_core_schema(metadata)
    metadata.create_all(engine)

    with engine.begin() as conn:
        conn.execute(
            insert(users),
            [
                {"name": "UserA", "status": "init", "score": 0},
                {"name": "UserB", "status": "init", "score": 0},
                {"name": "UserC", "status": "init", "score": 0},
            ],
        )

    updates = [
        {"b_id": 1, "b_score": 100, "b_status": "gold"},
        {"b_id": 2, "b_score": 50, "b_status": "silver"},
        {"b_id": 3, "b_score": 25, "b_status": "bronze"},
    ]
    count = batch_update_scores(engine, users, updates)
    assert count == 3, f"Expected 3 affected rows, got {count}"

    with engine.connect() as conn:
        rows = conn.execute(select(users.c.id, users.c.status, users.c.score).order_by(users.c.id)).fetchall()
        assert len(rows) == 3
        assert rows[0] == (1, "gold", 100)
        assert rows[1] == (2, "silver", 50)
        assert rows[2] == (3, "bronze", 25)


def test_update_from_scalar_subquery() -> None:
    """Assertion 5: update executes updates using scalar subqueries within values clause."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users, bonuses = create_core_schema(metadata)
    metadata.create_all(engine)

    with engine.begin() as conn:
        conn.execute(
            insert(users),
            [
                {"name": "Player1", "status": "active", "score": 100},
                {"name": "Player2", "status": "active", "score": 200},
            ],
        )
        conn.execute(
            insert(bonuses),
            [
                {"user_id": 1, "extra_points": 50},
                {"user_id": 2, "extra_points": 75},
            ],
        )

    count = update_from_scalar_subquery(engine, users, bonuses)
    assert count == 2, f"Expected 2 affected rows, got {count}"

    with engine.connect() as conn:
        rows = conn.execute(select(users.c.id, users.c.score).order_by(users.c.id)).fetchall()
        assert rows[0] == (1, 150)
        assert rows[1] == (2, 275)


def test_update_orm_entity() -> None:
    """Assertion 6: update executes within ORM 2.0 Session via session.execute with model entity."""
    engine = create_engine("sqlite:///:memory:")
    Base.metadata.create_all(engine)

    with Session(engine) as session:
        session.add_all(
            [
                OrmUser(name="OrmAlice", status="registered", score=10),
                OrmUser(name="OrmBob", status="registered", score=20),
            ]
        )
        session.commit()

    with Session(engine) as session:
        count = update_orm_entity(session, user_id=1, new_status="verified", score_delta=40)
        assert count == 1, f"Expected 1 affected row, got {count}"

    with Session(engine) as session:
        user1 = session.get(OrmUser, 1)
        user2 = session.get(OrmUser, 2)
        assert user1 is not None and user1.status == "verified" and user1.score == 50
        assert user2 is not None and user2.status == "registered" and user2.score == 20


def main() -> None:
    test_update_where_and_values()
    test_update_column_arithmetic_expression()
    test_update_with_returning()
    test_batch_update_scores()
    test_update_from_scalar_subquery()
    test_update_orm_entity()
    print("All sqlalchemy.update contract tests passed successfully.")


if __name__ == "__main__":
    main()
uv.lock
version = 1
revision = 3
requires-python = ">=3.12"

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Seeder d'origine

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