# Copyright 2023 AntGroup CO., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
from unittest import TestCase
import numpy as np
from openasce.core.runtime import Runtime
from openasce.utils.logger import logger
[docs]class MockRuntime(Runtime):
[docs] def __init__(self) -> None:
super().__init__()
[docs] def fit(self):
dic = {"a": 1, "b": 2}
data = np.arange(1000).reshape((50, 20))
results = self.launch(num=2, param=dic, dataset=data)
logger.info(f"results={results}")
[docs] def todo(self, idx, total_num, param, dataset):
logger.info(
f"id={idx}, total_num={total_num}, param={param}, dataset={dataset}"
)
data = dataset * (idx + 2)
result = {k: 2 * v for k, v in param.items()}
result["id"] = idx
result["data"] = data
return result
class TestRuntime(TestCase):
def setUp(self) -> None:
pass
def test_runtime_execution(self) -> None:
r = MockRuntime()
r.fit()