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- import os
- import pytest
- from pandas import (
- array,
- compat,
- )
- import pandas._testing as tm
- def test_numpy_err_state_is_default():
- expected = {"over": "warn", "divide": "warn", "invalid": "warn", "under": "ignore"}
- import numpy as np
- # The error state should be unchanged after that import.
- assert np.geterr() == expected
- def test_convert_rows_list_to_csv_str():
- rows_list = ["aaa", "bbb", "ccc"]
- ret = tm.convert_rows_list_to_csv_str(rows_list)
- if compat.is_platform_windows():
- expected = "aaa\r\nbbb\r\nccc\r\n"
- else:
- expected = "aaa\nbbb\nccc\n"
- assert ret == expected
- @pytest.mark.parametrize("strict_data_files", [True, False])
- def test_datapath_missing(datapath):
- with pytest.raises(ValueError, match="Could not find file"):
- datapath("not_a_file")
- def test_datapath(datapath):
- args = ("io", "data", "csv", "iris.csv")
- result = datapath(*args)
- expected = os.path.join(os.path.dirname(os.path.dirname(__file__)), *args)
- assert result == expected
- def test_external_error_raised():
- with tm.external_error_raised(TypeError):
- raise TypeError("Should not check this error message, so it will pass")
- def test_is_sorted():
- arr = array([1, 2, 3], dtype="Int64")
- tm.assert_is_sorted(arr)
- arr = array([4, 2, 3], dtype="Int64")
- with pytest.raises(AssertionError, match="ExtensionArray are different"):
- tm.assert_is_sorted(arr)
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