| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263 |
- import os
- import pytest
- from pandas import compat
- import pandas._testing as tm
- def test_rands():
- r = tm.rands(10)
- assert len(r) == 10
- def test_rands_array_1d():
- arr = tm.rands_array(5, size=10)
- assert arr.shape == (10,)
- assert len(arr[0]) == 5
- def test_rands_array_2d():
- arr = tm.rands_array(7, size=(10, 10))
- assert arr.shape == (10, 10)
- assert len(arr[1, 1]) == 7
- 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")
|
