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49 lines
1.4 KiB
49 lines
1.4 KiB
from unittest.mock import Mock
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import pytest
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import torch
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from swarms.models.timm import TimmModel
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def test_get_supported_models():
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model_handler = TimmModel()
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supported_models = model_handler._get_supported_models()
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assert isinstance(supported_models, list)
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assert len(supported_models) > 0
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def test_create_model(sample_model_info):
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model_handler = TimmModel()
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model = model_handler._create_model(sample_model_info)
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assert isinstance(model, torch.nn.Module)
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def test_call(sample_model_info):
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model_handler = TimmModel()
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input_tensor = torch.randn(1, 3, 224, 224)
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output_shape = model_handler.__call__(sample_model_info, input_tensor)
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assert isinstance(output_shape, torch.Size)
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def test_get_supported_models_mock():
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model_handler = TimmModel()
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model_handler._get_supported_models = Mock(
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return_value=["resnet18", "resnet50"]
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)
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supported_models = model_handler._get_supported_models()
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assert supported_models == ["resnet18", "resnet50"]
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def test_create_model_mock(sample_model_info):
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model_handler = TimmModel()
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model_handler._create_model = Mock(return_value=torch.nn.Module())
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model = model_handler._create_model(sample_model_info)
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assert isinstance(model, torch.nn.Module)
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def test_coverage_report():
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# Install pytest-cov
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# Run tests with coverage report
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pytest.main(["--cov=my_module", "--cov-report=html"])
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