File size: 1,870 Bytes
9c31777 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 numpy as np
import PIL.Image
import pytest
from smolagents.agent_types import _AGENT_TYPE_MAPPING
from smolagents.default_tools import FinalAnswerTool
from .test_tools import ToolTesterMixin
from .utils.markers import require_torch
class TestFinalAnswerTool(ToolTesterMixin):
def setup_method(self):
self.inputs = {"answer": "Final answer"}
self.tool = FinalAnswerTool()
def test_exact_match_arg(self):
result = self.tool("Final answer")
assert result == "Final answer"
def test_exact_match_kwarg(self):
result = self.tool(answer=self.inputs["answer"])
assert result == "Final answer"
@require_torch
def test_agent_type_output(self, inputs):
for input_type, input in inputs.items():
output = self.tool(**input, sanitize_inputs_outputs=True)
agent_type = _AGENT_TYPE_MAPPING[input_type]
assert isinstance(output, agent_type)
@pytest.fixture
def inputs(self, shared_datadir):
import torch
return {
"string": {"answer": "Text input"},
"image": {"answer": PIL.Image.open(shared_datadir / "000000039769.png").resize((512, 512))},
"audio": {"answer": torch.Tensor(np.ones(3000))},
}
|