done

lib/python3.11/site-packages/pandas/tests/test_common.py

@@ -0,0 +1,267 @@
+import collections
+from functools import partial
+import string
+import subprocess
+import sys
+import textwrap
+
+import numpy as np
+import pytest
+
+import pandas as pd
+from pandas import Series
+import pandas._testing as tm
+from pandas.core import ops
+import pandas.core.common as com
+from pandas.util.version import Version
+
+
+def test_get_callable_name():
+    getname = com.get_callable_name
+
+    def fn(x):
+        return x
+
+    lambda_ = lambda x: x
+    part1 = partial(fn)
+    part2 = partial(part1)
+
+    class somecall:
+        def __call__(self):
+            # This shouldn't actually get called below; somecall.__init__
+            #  should.
+            raise NotImplementedError
+
+    assert getname(fn) == "fn"
+    assert getname(lambda_)
+    assert getname(part1) == "fn"
+    assert getname(part2) == "fn"
+    assert getname(somecall()) == "somecall"
+    assert getname(1) is None
+
+
+def test_any_none():
+    assert com.any_none(1, 2, 3, None)
+    assert not com.any_none(1, 2, 3, 4)
+
+
+def test_all_not_none():
+    assert com.all_not_none(1, 2, 3, 4)
+    assert not com.all_not_none(1, 2, 3, None)
+    assert not com.all_not_none(None, None, None, None)
+
+
+def test_random_state():
+    # Check with seed
+    state = com.random_state(5)
+    assert state.uniform() == np.random.RandomState(5).uniform()
+
+    # Check with random state object
+    state2 = np.random.RandomState(10)
+    assert com.random_state(state2).uniform() == np.random.RandomState(10).uniform()
+
+    # check with no arg random state
+    assert com.random_state() is np.random
+
+    # check array-like
+    # GH32503
+    state_arr_like = np.random.default_rng(None).integers(
+        0, 2**31, size=624, dtype="uint32"
+    )
+    assert (
+        com.random_state(state_arr_like).uniform()
+        == np.random.RandomState(state_arr_like).uniform()
+    )
+
+    # Check BitGenerators
+    # GH32503
+    assert (
+        com.random_state(np.random.MT19937(3)).uniform()
+        == np.random.RandomState(np.random.MT19937(3)).uniform()
+    )
+    assert (
+        com.random_state(np.random.PCG64(11)).uniform()
+        == np.random.RandomState(np.random.PCG64(11)).uniform()
+    )
+
+    # Error for floats or strings
+    msg = (
+        "random_state must be an integer, array-like, a BitGenerator, Generator, "
+        "a numpy RandomState, or None"
+    )
+    with pytest.raises(ValueError, match=msg):
+        com.random_state("test")
+
+    with pytest.raises(ValueError, match=msg):
+        com.random_state(5.5)
+
+
+@pytest.mark.parametrize(
+    "left, right, expected",
+    [
+        (Series([1], name="x"), Series([2], name="x"), "x"),
+        (Series([1], name="x"), Series([2], name="y"), None),
+        (Series([1]), Series([2], name="x"), None),
+        (Series([1], name="x"), Series([2]), None),
+        (Series([1], name="x"), [2], "x"),
+        ([1], Series([2], name="y"), "y"),
+        # matching NAs
+        (Series([1], name=np.nan), pd.Index([], name=np.nan), np.nan),
+        (Series([1], name=np.nan), pd.Index([], name=pd.NaT), None),
+        (Series([1], name=pd.NA), pd.Index([], name=pd.NA), pd.NA),
+        # tuple name GH#39757
+        (
+            Series([1], name=np.int64(1)),
+            pd.Index([], name=(np.int64(1), np.int64(2))),
+            None,
+        ),
+        (
+            Series([1], name=(np.int64(1), np.int64(2))),
+            pd.Index([], name=(np.int64(1), np.int64(2))),
+            (np.int64(1), np.int64(2)),
+        ),
+        pytest.param(
+            Series([1], name=(np.float64("nan"), np.int64(2))),
+            pd.Index([], name=(np.float64("nan"), np.int64(2))),
+            (np.float64("nan"), np.int64(2)),
+            marks=pytest.mark.xfail(
+                reason="Not checking for matching NAs inside tuples."
+            ),
+        ),
+    ],
+)
+def test_maybe_match_name(left, right, expected):
+    res = ops.common._maybe_match_name(left, right)
+    assert res is expected or res == expected
+
+
+def test_standardize_mapping():
+    # No uninitialized defaultdicts
+    msg = r"to_dict\(\) only accepts initialized defaultdicts"
+    with pytest.raises(TypeError, match=msg):
+        com.standardize_mapping(collections.defaultdict)
+
+    # No non-mapping subtypes, instance
+    msg = "unsupported type: <class 'list'>"
+    with pytest.raises(TypeError, match=msg):
+        com.standardize_mapping([])
+
+    # No non-mapping subtypes, class
+    with pytest.raises(TypeError, match=msg):
+        com.standardize_mapping(list)
+
+    fill = {"bad": "data"}
+    assert com.standardize_mapping(fill) == dict
+
+    # Convert instance to type
+    assert com.standardize_mapping({}) == dict
+
+    dd = collections.defaultdict(list)
+    assert isinstance(com.standardize_mapping(dd), partial)
+
+
+def test_git_version():
+    # GH 21295
+    git_version = pd.__git_version__
+    assert len(git_version) == 40
+    assert all(c in string.hexdigits for c in git_version)
+
+
+def test_version_tag():
+    version = Version(pd.__version__)
+    try:
+        version > Version("0.0.1")
+    except TypeError:
+        raise ValueError(
+            "No git tags exist, please sync tags between upstream and your repo"
+        )
+
+
+@pytest.mark.parametrize(
+    "obj", [(obj,) for obj in pd.__dict__.values() if callable(obj)]
+)
+def test_serializable(obj):
+    # GH 35611
+    unpickled = tm.round_trip_pickle(obj)
+    assert type(obj) == type(unpickled)
+
+
+class TestIsBoolIndexer:
+    def test_non_bool_array_with_na(self):
+        # in particular, this should not raise
+        arr = np.array(["A", "B", np.nan], dtype=object)
+        assert not com.is_bool_indexer(arr)
+
+    def test_list_subclass(self):
+        # GH#42433
+
+        class MyList(list):
+            pass
+
+        val = MyList(["a"])
+
+        assert not com.is_bool_indexer(val)
+
+        val = MyList([True])
+        assert com.is_bool_indexer(val)
+
+    def test_frozenlist(self):
+        # GH#42461
+        data = {"col1": [1, 2], "col2": [3, 4]}
+        df = pd.DataFrame(data=data)
+
+        frozen = df.index.names[1:]
+        assert not com.is_bool_indexer(frozen)
+
+        result = df[frozen]
+        expected = df[[]]
+        tm.assert_frame_equal(result, expected)
+
+
+@pytest.mark.parametrize("with_exception", [True, False])
+def test_temp_setattr(with_exception):
+    # GH#45954
+    ser = Series(dtype=object)
+    ser.name = "first"
+    # Raise a ValueError in either case to satisfy pytest.raises
+    match = "Inside exception raised" if with_exception else "Outside exception raised"
+    with pytest.raises(ValueError, match=match):
+        with com.temp_setattr(ser, "name", "second"):
+            assert ser.name == "second"
+            if with_exception:
+                raise ValueError("Inside exception raised")
+        raise ValueError("Outside exception raised")
+    assert ser.name == "first"
+
+
+@pytest.mark.single_cpu
+def test_str_size():
+    # GH#21758
+    a = "a"
+    expected = sys.getsizeof(a)
+    pyexe = sys.executable.replace("\\", "/")
+    call = [
+        pyexe,
+        "-c",
+        "a='a';import sys;sys.getsizeof(a);import pandas;print(sys.getsizeof(a));",
+    ]
+    result = subprocess.check_output(call).decode()[-4:-1].strip("\n")
+    assert int(result) == int(expected)
+
+
+@pytest.mark.single_cpu
+def test_bz2_missing_import():
+    # Check whether bz2 missing import is handled correctly (issue #53857)
+    code = """
+        import sys
+        sys.modules['bz2'] = None
+        import pytest
+        import pandas as pd
+        from pandas.compat import get_bz2_file
+        msg = 'bz2 module not available.'
+        with pytest.raises(RuntimeError, match=msg):
+            get_bz2_file()
+    """
+    code = textwrap.dedent(code)
+    call = [sys.executable, "-c", code]
+    subprocess.check_output(call)