55 lines
2.2 KiB
Python
55 lines
2.2 KiB
Python
import os
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import sys
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import unittest
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import torch
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import pandas as pd
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PROJECT_ROOT = os.path.realpath(os.path.join(os.path.dirname(__file__), "..", ".."))
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MODULE_ROOT = os.path.join(PROJECT_ROOT, "modules")
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sys.path.append(MODULE_ROOT)
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from pandas_wrapper.pandas_create_from_tensor import PandasCreateFromTensor
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class TestPandasCreateFromTensor(unittest.TestCase):
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def setUp(self):
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"""Set up test data."""
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self.node = PandasCreateFromTensor()
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self.test_cases = [
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# Rank 0 (Invalid)
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(torch.tensor(42), ValueError),
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(torch.tensor(3.14), ValueError),
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(torch.tensor(True), ValueError),
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# Rank 1 (Valid)
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(torch.tensor([1, 2, 3], dtype=torch.float32), pd.DataFrame([1, 2, 3], dtype="float32")),
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(torch.tensor([1.1, 2.2, 3.3], dtype=torch.float32), pd.DataFrame([1.1, 2.2, 3.3], dtype="float32")),
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(torch.tensor([True, False, True], dtype=torch.float32), pd.DataFrame([1.0, 0.0, 1.0], dtype="float32")),
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# Rank 2 (Valid)
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(torch.tensor([[1, 2], [3, 4]], dtype=torch.float32), pd.DataFrame([[1, 2], [3, 4]], dtype="float32")),
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(torch.tensor([[1.1, 2.2], [3.3, 4.4]], dtype=torch.float32), pd.DataFrame([[1.1, 2.2], [3.3, 4.4]], dtype="float32")),
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# Rank 3+ (Invalid)
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(torch.rand(2, 2, 2), ValueError),
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(torch.rand(2, 2, 2, 2), ValueError),
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]
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def test_create_dataframe(self):
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"""Test DataFrame creation from various PyTorch tensors."""
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for data, expected in self.test_cases:
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with self.subTest(data=data):
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if isinstance(expected, type) and issubclass(expected, Exception):
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with self.assertRaises(expected):
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self.node.f(data)
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else:
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retval = self.node.f(data)[0]
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# Test if DataFrame structure matches
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self.assertTrue(isinstance(retval, pd.DataFrame))
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# Test if data matches
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pd.testing.assert_frame_equal(retval, expected)
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if __name__ == "__main__":
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unittest.main()
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