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Exemplo

onnxruntime 1.28.0: RunOptions

Amostra verificada para pypi onnxruntime 1.28.0: RunOptions. O contrato rodou em python 3.12 · linux debian/x64 · docker e passou.

sha256:136ce7f6423919b77463896dfed4a8adb6f516aa6c2650edc87add826053a9b3

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Evidência de execução

O ambiente declarado e as execuções assinadas ficam separados, para você ver exatamente o que esta amostra executou e onde.

Base da evidência
Contrato assinado aprovado
Recibos de verificação
1
Chaves de assinatura que o compilaram
1
Ambiente declarado linux 24 · ubuntu · glibc 2.39 x64 pip

Ambientes das execuções de verificação

Ambiente Contrato Etapas Execução
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…
2026-09-07

Caso

HOW
Objetivo
verify onnxruntime.RunOptions in pkg:pypi/onnxruntime@1.28.0
Pacotes
Símbolos
  • onnxruntime.RunOptions
Criado
2026-09-07T04:22:44Z

Contrato

  1. assert RunOptions initializes with default log_severity_level, log_verbosity_level, empty logid, terminate False, and only_execute_path_to_fetches False
  2. assert RunOptions properties log_severity_level, log_verbosity_level, logid, and only_execute_path_to_fetches can be mutated
  3. assert RunOptions.add_run_config_entry stores custom key-value configuration and get_run_config_entry retrieves it
  4. assert RunOptions.get_run_config_entry raises RuntimeError when queried with a non-existent key
  5. assert InferenceSession.run executes inference with custom RunOptions on an ONNX model graph
  6. assert InferenceSession.run aborts with RuntimeError or Fail exception when RunOptions.terminate is set to True

Arquivos

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

Baixar o artefato de código-fonte (tar.gz)

Código-fonte

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 onnxruntime.RunOptions in pkg:pypi/onnxruntime@1.28.0
Kind: HOW

Use EXACTLY these public packages and versions:
  - pkg:pypi/onnxruntime@1.28.0
Demonstrate these symbols/APIs:
  - onnxruntime.RunOptions

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:sha256:52c80a437345a88f66d31f88f1cfe8e5180c6af6215606f283d488b8b11a2476","contract":["assert RunOptions initializes with default log_severity_level, log_verbosity_level, empty logid, terminate False, and only_execute_path_to_fetches False","assert RunOptions properties log_severity_level, log_verbosity_level, logid, and only_execute_path_to_fetches can be mutated","assert RunOptions.add_run_config_entry stores custom key-value configuration and get_run_config_entry retrieves it","assert RunOptions.get_run_config_entry raises RuntimeError when queried with a non-existent key","assert InferenceSession.run executes inference with custom RunOptions on an ONNX model graph","assert InferenceSession.run aborts with RuntimeError or Fail exception when RunOptions.terminate is set to True"],"goal":"verify onnxruntime.RunOptions in pkg:pypi/onnxruntime@1.28.0","kind":"HOW","packages":["pkg:pypi/onnxruntime@1.28.0"],"schemaVersion":1,"symbols":["onnxruntime.RunOptions"]},"contractCommand":["python3","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/onnxruntime@1.28.0"],"schemaVersion":1,"subject":"pkg:pypi/onnxruntime@1.28.0","symbols":["onnxruntime.RunOptions"],"verifierAdapter":"python@1"}
pyproject.toml
[project]
name = "verify-onnxruntime-runoptions"
version = "0.1.0"
dependencies = [
    "onnxruntime==1.28.0",
    "numpy",
]
requirements.txt
onnxruntime==1.28.0
numpy
spec.json
{
  "schemaVersion": 1,
  "goal": "verify onnxruntime.RunOptions in pkg:pypi/onnxruntime@1.28.0",
  "kind": "HOW",
  "packages": [
    "pkg:pypi/onnxruntime@1.28.0"
  ],
  "symbols": [
    "onnxruntime.RunOptions"
  ]
}
test/contract.py
import numpy as np
import onnxruntime as ort

MODEL_BYTES = (
    b"\x08\r\x12\x08csx_test:H\n\x10\n\x01X\x12\x01Y\"\x08Identity\x12\ntest_modelZ"
    b"\x13\n\x01X\x12\x0e\n\x0c\x08\x01\x12\x08\n\x02\x08\x01\n\x02\x08\x02b"
    b"\x13\n\x01Y\x12\x0e\n\x0c\x08\x01\x12\x08\n\x02\x08\x01\n\x02\x08\x02B\x04\n\x00\x10\x11"
)


def test_run_options_instantiation_and_defaults():
    ro = ort.RunOptions()
    assert ro.log_severity_level == -1
    assert ro.log_verbosity_level == 0
    assert ro.logid == ""
    assert ro.terminate is False
    assert ro.only_execute_path_to_fetches is False


def test_run_options_property_mutations():
    ro = ort.RunOptions()
    ro.log_severity_level = 2
    assert ro.log_severity_level == 2

    ro.log_verbosity_level = 1
    assert ro.log_verbosity_level == 1

    ro.logid = "custom_run_tag"
    assert ro.logid == "custom_run_tag"

    ro.only_execute_path_to_fetches = True
    assert ro.only_execute_path_to_fetches is True


def test_run_options_run_config_entries():
    ro = ort.RunOptions()
    ro.add_run_config_entry("disable_synchronize_execution_providers", "1")
    assert ro.get_run_config_entry("disable_synchronize_execution_providers") == "1"

    try:
        ro.get_run_config_entry("non_existent_entry_key")
        assert False, "Should have raised RuntimeError"
    except RuntimeError as exc:
        assert "does not have configuration with key" in str(exc)


def test_inference_session_run_with_run_options():
    session = ort.InferenceSession(MODEL_BYTES, providers=["CPUExecutionProvider"])
    ro = ort.RunOptions()
    ro.logid = "session_eval"
    input_tensor = np.array([[3.14, 2.71]], dtype=np.float32)
    outputs = session.run(["Y"], {"X": input_tensor}, run_options=ro)
    assert np.allclose(outputs[0], input_tensor)


def test_inference_session_run_terminate_flag():
    session = ort.InferenceSession(MODEL_BYTES, providers=["CPUExecutionProvider"])
    ro_term = ort.RunOptions()
    ro_term.terminate = True
    input_tensor = np.array([[3.14, 2.71]], dtype=np.float32)
    try:
        session.run(["Y"], {"X": input_tensor}, run_options=ro_term)
        assert False, "Should have aborted due to terminate flag"
    except Exception as exc:
        assert "terminate" in str(exc).lower()


def main():
    test_run_options_instantiation_and_defaults()
    test_run_options_property_mutations()
    test_run_options_run_config_entries()
    test_inference_session_run_with_run_options()
    test_inference_session_run_terminate_flag()
    print("All onnxruntime.RunOptions contract assertions passed.")


if __name__ == "__main__":
    main()

Seeder de origem

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