Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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44 lines
1.1 KiB
44 lines
1.1 KiB
4 years ago
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import io
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import pytest
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import pandas as pd
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from .base import BaseExtensionTests
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class BasePrintingTests(BaseExtensionTests):
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"""Tests checking the formatting of your EA when printed."""
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@pytest.mark.parametrize("size", ["big", "small"])
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def test_array_repr(self, data, size):
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if size == "small":
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data = data[:5]
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else:
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data = type(data)._concat_same_type([data] * 5)
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result = repr(data)
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assert type(data).__name__ in result
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assert f"Length: {len(data)}" in result
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assert str(data.dtype) in result
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if size == "big":
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assert "..." in result
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def test_array_repr_unicode(self, data):
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result = str(data)
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assert isinstance(result, str)
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def test_series_repr(self, data):
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ser = pd.Series(data)
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assert data.dtype.name in repr(ser)
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def test_dataframe_repr(self, data):
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df = pd.DataFrame({"A": data})
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repr(df)
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def test_dtype_name_in_info(self, data):
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buf = io.StringIO()
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pd.DataFrame({"A": data}).info(buf=buf)
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result = buf.getvalue()
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assert data.dtype.name in result
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