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Model-Optimizer/tests/examples/speculative_decoding/conftest.py
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2026-04-08 02:54:18 -07:00

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Python

# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
import yaml
from _test_utils.examples.run_command import run_example_command
@pytest.fixture(scope="session", autouse=True)
def tiny_daring_anteater_path(tmp_path_factory):
tmp_dir = tmp_path_factory.mktemp("daring_anteater")
output_file = tmp_dir / "train.jsonl"
config = {
"outputs": [
{
"filename": str(output_file),
"global_limit": 100,
"sources": [{"name": "daring-anteater", "splits": {"all": 100}}],
}
]
}
config_path = tmp_dir / "data_config.yaml"
config_path.write_text(yaml.dump(config))
run_example_command(
["python", "make_dataset.py", "-f", str(config_path), "--full-conversations"], "dataset"
)
return output_file