FM / util

/usr/local/lib64/python3.6/site-packages/pandas/tests/util/

/usr/local/lib64/python3.6/site-packages/pandas/tests/util

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
conftest.py	476	0644	edit dl rm
test_assert_almost_equal.py	11499	0644	edit dl rm
test_assert_categorical_equal.py	2749	0644	edit dl rm
test_assert_extension_array_equal.py	3471	0644	edit dl rm
test_assert_frame_equal.py	8835	0644	edit dl rm
test_assert_index_equal.py	5664	0644	edit dl rm
test_assert_interval_array_equal.py	2364	0644	edit dl rm
test_assert_numpy_array_equal.py	6361	0644	edit dl rm
test_assert_produces_warning.py	547	0644	edit dl rm
test_assert_series_equal.py	9089	0644	edit dl rm
test_deprecate.py	1626	0644	edit dl rm
test_deprecate_kwarg.py	2043	0644	edit dl rm
test_deprecate_nonkeyword_arguments.py	2713	0644	edit dl rm
test_doc.py	1492	0644	edit dl rm
test_hashing.py	10860	0644	edit dl rm
test_numba.py	308	0644	edit dl rm
test_safe_import.py	1020	0644	edit dl rm
test_show_versions.py	1187	0644	edit dl rm
test_util.py	1982	0644	edit dl rm
test_validate_args.py	1844	0644	edit dl rm
test_validate_args_and_kwargs.py	2391	0644	edit dl rm
test_validate_kwargs.py	1740	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/util/test_util.py (1982B)

import os

import pytest

import pandas.compat as 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

def test_create_temp_directory():
    with tm.ensure_clean_dir() as path:
        assert os.path.exists(path)
        assert os.path.isdir(path)
    assert not os.path.exists(path)

@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_rng_context():
    import numpy as np

expected0 = 1.764052345967664
    expected1 = 1.6243453636632417

with tm.RNGContext(0):
        with tm.RNGContext(1):
            assert np.random.randn() == expected1
        assert np.random.randn() == expected0

def test_external_error_raised():
    with tm.external_error_raised(TypeError):
        raise TypeError("Should not check this error message, so it will pass")

import os import pytest import pandas.compat as 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 def test_create_temp_directory(): with tm.ensure_clean_dir() as path: assert os.path.exists(path) assert os.path.isdir(path) assert not os.path.exists(path) @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_rng_context(): import numpy as np expected0 = 1.764052345967664 expected1 = 1.6243453636632417 with tm.RNGContext(0): with tm.RNGContext(1): assert np.random.randn() == expected1 assert np.random.randn() == expected0 def test_external_error_raised(): with tm.external_error_raised(TypeError): raise TypeError("Should not check this error message, so it will pass")