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How to use downcast method in hypothesis

Best Python code snippet using hypothesis

FFIExternalObject.py

Source:FFIExternalObject.py

...126            #exactObject = exactWrapperClass(None)127            exactObject = FFIInstance(exactWrapperClass)128            # Get the downcast pointer that has had all the downcast129            # funcs called130            downcastObject = self.downcast(exactWrapperClass)131            exactObject.this = downcastObject.this132            exactObject.userManagesMemory = downcastObject.userManagesMemory133            # Make sure the original downcast object does not get134            # garbage collected so that the exactObject will not get135            # gc'd thereby transferring ownership of the object to136            # this new exactObject137            downcastObject.userManagesMemory = 0138            return exactObject139        else:140            return self141    def downcast(self, toClass):142        fromClass = self.__class__143        #FFIConstants.notify.debug('downcast: downcasting from %s to %s' % \144        #    (fromClass.__name__, toClass.__name__))145        # Check the cache to see if we have looked this up before146        downcastChain = DowncastMap.get((fromClass, toClass))147        if downcastChain == None:148            downcastChain = self.getDowncastFunctions(toClass, fromClass)149            #FFIConstants.notify.debug('downcast: computed downcast chain: ' + repr(downcastChain))150            # Store it for next time151            DowncastMap[(fromClass, toClass)] = downcastChain152        newObject = self153        for downcastFunc in downcastChain:154            #FFIConstants.notify.debug('downcast: downcasting %s using %s' % \155            #                         (newObject.__class__.__name__, downcastFunc))...

test_downcast.py

Source:test_downcast.py

...30            np.array([decimal.Decimal(0.0)]),31        ),32    ],33)34def test_downcast(arr, expected, dtype):35    result = maybe_downcast_to_dtype(arr, dtype)36    tm.assert_numpy_array_equal(result, expected)37def test_downcast_booleans():38    # see gh-16875: coercing of booleans.39    ser = Series([True, True, False])40    result = maybe_downcast_to_dtype(ser, np.dtype(np.float64))41    expected = ser42    tm.assert_series_equal(result, expected)43def test_downcast_conversion_no_nan(any_real_dtype):44    dtype = any_real_dtype45    expected = np.array([1, 2])46    arr = np.array([1.0, 2.0], dtype=dtype)47    result = maybe_downcast_to_dtype(arr, "infer")48    tm.assert_almost_equal(result, expected, check_dtype=False)...

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