| 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 |
|
|
| |
| 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) |
|
|