peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pandas
/tests
/util
/test_util.py
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 | |
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) | |