зеркало из https://github.com/microsoft/torchgeo.git
63 строки
2.1 KiB
Python
63 строки
2.1 KiB
Python
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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import os
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import shutil
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from pathlib import Path
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from typing import Generator
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import pytest
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import torch
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import torch.nn as nn
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from _pytest.fixtures import SubRequest
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from _pytest.monkeypatch import MonkeyPatch
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import torchgeo.datasets.utils
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from torchgeo.datasets import LEVIRCDPlus
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def download_url(url: str, root: str, *args: str) -> None:
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shutil.copy(url, root)
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class TestLEVIRCDPlus:
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@pytest.fixture(params=["train", "test"])
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def dataset(
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self,
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monkeypatch: Generator[MonkeyPatch, None, None],
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tmp_path: Path,
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request: SubRequest,
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) -> LEVIRCDPlus:
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monkeypatch.setattr( # type: ignore[attr-defined]
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torchgeo.datasets.utils, "download_url", download_url
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)
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md5 = "b61c300e9fd7146eb2c8e2512c0e9d39"
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monkeypatch.setattr(LEVIRCDPlus, "md5", md5) # type: ignore[attr-defined]
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url = os.path.join("tests", "data", "levircd", "LEVIR-CD+.zip")
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monkeypatch.setattr(LEVIRCDPlus, "url", url) # type: ignore[attr-defined]
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root = str(tmp_path)
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split = request.param
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transforms = nn.Identity() # type: ignore[attr-defined]
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return LEVIRCDPlus(root, split, transforms, download=True, checksum=True)
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def test_getitem(self, dataset: LEVIRCDPlus) -> None:
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x = dataset[0]
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assert isinstance(x, dict)
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assert isinstance(x["image"], torch.Tensor)
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assert isinstance(x["mask"], torch.Tensor)
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assert x["image"].shape[0] == 2
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def test_len(self, dataset: LEVIRCDPlus) -> None:
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assert len(dataset) == 2
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def test_already_downloaded(self, dataset: LEVIRCDPlus) -> None:
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LEVIRCDPlus(root=dataset.root, download=True)
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def test_invalid_split(self) -> None:
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with pytest.raises(AssertionError):
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LEVIRCDPlus(split="foo")
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def test_not_downloaded(self, tmp_path: Path) -> None:
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with pytest.raises(RuntimeError, match="Dataset not found or corrupted."):
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LEVIRCDPlus(str(tmp_path))
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