我们从Python开源项目中，提取了以下5个代码示例，用于说明如何使用builtins.round()。
def memory_efficiency(self): mem = 100 if self.memory_footprint() > 0: mem = round(float(self.memory_usage()) / float(self.memory_footprint()) * 100) mem = int(mem) return mem
def memory_efficiency(self): footprint = self.memory_footprint() usage = 0 for node in self.ops: usage = max(usage, node.memory_usage()) result = 100 if footprint > 0: result = int(round((float(usage) / float(footprint)) * 100)) return result
def test_numericalValues(self, model, index, value, dtype, precision): dataFrame = pandas.DataFrame([value], columns=['A']) dataFrame['A'] = dataFrame['A'].astype(dtype) model.setDataFrame(dataFrame) assert not model.dataFrame().empty assert model.dataFrame() is dataFrame assert index.isValid() newValue = value + 1 model.enableEditing(True) assert model.setData(index, newValue) if precision: modelValue = model.data(index, role=Qt.DisplayRole) #assert abs(decimal.Decimal(str(modelValue)).as_tuple().exponent) == precision assert model.data(index) == round(newValue, precision) assert model.data(index, role=Qt.DisplayRole) == round(newValue, precision) assert model.data(index, role=Qt.EditRole) == round(newValue, precision) else: assert model.data(index) == newValue assert model.data(index, role=Qt.DisplayRole) == newValue assert model.data(index, role=Qt.EditRole) == newValue assert model.data(index, role=Qt.CheckStateRole) == None assert isinstance(model.data(index, role=DATAFRAME_ROLE), dtype) assert model.data(index, role=DATAFRAME_ROLE).dtype == dtype
def round(number, *args): """Replacement for the built-in :func:`round() <python:round>` function.""" return builtins.round(number, *args)
def test_numericalValues(self, model, index, value, dtype, precision): dataFrame = pandas.DataFrame([value], columns=['A']) dataFrame['A'] = dataFrame['A'].astype(dtype) model.setDataFrame(dataFrame) assert not model.dataFrame().empty assert model.dataFrame() is dataFrame assert index.isValid() if precision: modelValue = model.data(index, role=Qt.DisplayRole) assert model.data(index) == round(value, precision) assert model.data(index, role=Qt.DisplayRole) == round(value, precision) assert model.data(index, role=Qt.EditRole) == round(value, precision) else: assert model.data(index) == value assert model.data(index, role=Qt.DisplayRole) == value assert model.data(index, role=Qt.EditRole) == value assert model.data(index, role=Qt.CheckStateRole) == None assert isinstance(model.data(index, role=DATAFRAME_ROLE), dtype) assert model.data(index, role=DATAFRAME_ROLE).dtype == dtype #@pytest.mark.parametrize( #"border1, modifier, border2, dtype", [ #("min", -1, "max", numpy.uint8), #("max", +1, "min", numpy.uint8), #("min", -1, "max", numpy.uint16), #("max", +1, "min", numpy.uint16), #("min", -1, "max", numpy.uint32), #("max", +1, "min", numpy.uint32), #("min", -1, "max", numpy.uint64), ##("max", +1, "min", numpy.uint64), # will raise OverFlowError caused by astype function, ## uneffects models data method #("min", -1, "max", numpy.int8), #("max", +1, "min", numpy.int8), #("min", -1, "max", numpy.int16), #("max", +1, "min", numpy.int16), #("min", -1, "max", numpy.int32), #("max", +1, "min", numpy.int32), ##("min", -1, "max", numpy.int64), # will raise OverFlowError caused by astype function ## uneffects models data method ##("max", +1, "min", numpy.int64), # will raise OverFlowError caused by astype function ## uneffects models data method #] #) #def test_integerBorderValues(self, model, index, border1, modifier, border2, dtype): #ii = numpy.iinfo(dtype) #dataFrame = pandas.DataFrame([getattr(ii, border1) + modifier], columns=['A']) #dataFrame['A'] = dataFrame['A'].astype(dtype) #model.setDataFrame(dataFrame) #assert not model.dataFrame().empty #assert model.dataFrame() is dataFrame #assert index.isValid() #assert model.data(index) == getattr(ii, border2)
