CLN: Split test_base

pandas/core/base.py

@@ -93,7 +93,7 @@ class NoNewAttributesMixin:
 
     Prevents additional attributes via xxx.attribute = "something" after a
     call to `self.__freeze()`. Mainly used to prevent the user from using
-    wrong attributes on a accessor (`Series.cat/.str/.dt`).
+    wrong attributes on an accessor (`Series.cat/.str/.dt`).
 
     If you really want to add a new attribute at a later time, you need to use
     `object.__setattr__(self, key, value)`.

pandas/tests/base/test_construction.py

@@ -0,0 +1,142 @@
+from datetime import datetime
+import sys
+
+import numpy as np
+import pytest
+
+from pandas.compat import PYPY
+
+import pandas as pd
+from pandas import DataFrame, Index, Series
+from pandas.core.accessor import PandasDelegate
+from pandas.core.base import NoNewAttributesMixin, PandasObject
+import pandas.util.testing as tm
+
+
+class TestPandasDelegate:
+    class Delegator:
+        _properties = ["foo"]
+        _methods = ["bar"]
+
+        def _set_foo(self, value):
+            self.foo = value
+
+        def _get_foo(self):
+            return self.foo
+
+        foo = property(_get_foo, _set_foo, doc="foo property")
+
+        def bar(self, *args, **kwargs):
+            """ a test bar method """
+            pass
+
+    class Delegate(PandasDelegate, PandasObject):
+        def __init__(self, obj):
+            self.obj = obj
+
+    def setup_method(self, method):
+        pass
+
+    def test_invalid_delegation(self):
+        # these show that in order for the delegation to work
+        # the _delegate_* methods need to be overridden to not raise
+        # a TypeError
+
+        self.Delegate._add_delegate_accessors(
+            delegate=self.Delegator,
+            accessors=self.Delegator._properties,
+            typ="property",
+        )
+        self.Delegate._add_delegate_accessors(
+            delegate=self.Delegator, accessors=self.Delegator._methods, typ="method"
+        )
+
+        delegate = self.Delegate(self.Delegator())
+
+        with pytest.raises(TypeError):
+            delegate.foo
+
+        with pytest.raises(TypeError):
+            delegate.foo = 5
+
+        with pytest.raises(TypeError):
+            delegate.foo()
+
+    @pytest.mark.skipif(PYPY, reason="not relevant for PyPy")
+    def test_memory_usage(self):
+        # Delegate does not implement memory_usage.
+        # Check that we fall back to in-built `__sizeof__`
+        # GH 12924
+        delegate = self.Delegate(self.Delegator())
+        sys.getsizeof(delegate)
+
+
+class TestNoNewAttributesMixin:
+    def test_mixin(self):
+        class T(NoNewAttributesMixin):
+            pass
+
+        t = T()
+        assert not hasattr(t, "__frozen")
+
+        t.a = "test"
+        assert t.a == "test"
+
+        t._freeze()
+        assert "__frozen" in dir(t)
+        assert getattr(t, "__frozen")
+
+        with pytest.raises(AttributeError):
+            t.b = "test"
+
+        assert not hasattr(t, "b")
+
+
+class TestConstruction:
+    # test certain constructor behaviours on dtype inference across Series,
+    # Index and DataFrame
+
+    @pytest.mark.parametrize(
+        "klass",
+        [
+            Series,
+            lambda x, **kwargs: DataFrame({"a": x}, **kwargs)["a"],
+            pytest.param(
+                lambda x, **kwargs: DataFrame(x, **kwargs)[0], marks=pytest.mark.xfail
+            ),
+            Index,
+        ],
+    )
+    @pytest.mark.parametrize(
+        "a",
+        [
+            np.array(["2263-01-01"], dtype="datetime64[D]"),
+            np.array([datetime(2263, 1, 1)], dtype=object),
+            np.array([np.datetime64("2263-01-01", "D")], dtype=object),
+            np.array(["2263-01-01"], dtype=object),
+        ],
+        ids=[
+            "datetime64[D]",
+            "object-datetime.datetime",
+            "object-numpy-scalar",
+            "object-string",
+        ],
+    )
+    def test_constructor_datetime_outofbound(self, a, klass):
+        # GH-26853 (+ bug GH-26206 out of bound non-ns unit)
+
+        # No dtype specified (dtype inference)
+        # datetime64[non-ns] raise error, other cases result in object dtype
+        # and preserve original data
+        if a.dtype.kind == "M":
+            with pytest.raises(pd.errors.OutOfBoundsDatetime):
+                klass(a)
+        else:
+            result = klass(a)
+            assert result.dtype == "object"
+            tm.assert_numpy_array_equal(result.to_numpy(), a)
+
+        # Explicit dtype specified
+        # Forced conversion fails for all -> all cases raise error
+        with pytest.raises(pd.errors.OutOfBoundsDatetime):
+            klass(a, dtype="datetime64[ns]")