def safe_divide(a, b): with np.errstate(divide='ignore', invalid='ignore'): result = np.true_divide(a, b) if np.isinf(result) or np.isnan(result): return "Division by zero encountered." return result 采用第三方库,不仅可以简化代码,还可以利用这些库提供的高级功能来处理复杂的数学计算。
但是,RuntimeWarning: divide by zero encountered in log10仍然出现,我确定是这一行引起了警告。 虽然我的问题解决了,但我很困惑为什么这个警告一次又一次出现? seterr将其关闭 numpy.seterr(divide='ignore') 然后继续 numpy.seterr(divide='warn')
下面的代码示例演示了如何禁止打印输出警告信息: importwarningsdefdivide(a,b):withwarnings.catch_warnings():warnings.filterwarnings("ignore")returna/b result=divide(10,0)# 这里会引发警告信息print(result) 1. 2. 3. 4. 5. 6. 7. 8. 9. 在上述代码中,我们使用catch_warnings上下文管理器来临时禁止...
'ERR_CALL', 'ERR_DEFAULT', 'ERR_IGNORE', 'ERR_LOG', 'ERR_PRINT', 'ERR_RAISE', 'ERR_WARN', 'FLOATING_POINT_SUPPORT', 'FPE_DIVIDEBYZERO', 'FPE_INVALID', 'FPE_OVERFLOW', 'FPE_UNDERFLOW', 'False_', 'Inf', 'Infinity', 'MAXDIMS', 'MAY_SHARE_BOUNDS', 'MAY_SHARE_EXACT', '...
['ALLOW_THREADS', 'AxisError', 'BUFSIZE', 'CLIP', 'ComplexWarning', 'DataSource', 'ERR_CALL', 'ERR_DEFAULT', 'ERR_IGNORE', 'ERR_LOG', 'ERR_PRINT', 'ERR_RAISE', 'ERR_WARN', 'FLOATING_POINT_SUPPORT', 'FPE_DIVIDEBYZERO', 'FPE_INVALID', 'FPE_OVERFLOW', 'FPE_UNDERFLOW', 'Fals...
"""# Mute divide-by-zero warning for bad voxels since we account for that laterwarnings.simplefilter("ignore", RuntimeWarning) cells = cells.astype('float64')# Make sure we don't overflowtotal = np.apply_over_axes(np.sum, cells, [1,2]).ravel() ...
self.reverse_write# ③return'JABBERWOCKY'# ④defreverse_write(self, text):# ⑤self.original_write(text[::-1])def__exit__(self, exc_type, exc_value, traceback):# ⑥sys.stdout.write = self.original_write# ⑦ifexc_typeisZeroDivisionError:# ⑧print('Please DO NOT divide by zero!')...
add(a, b) == expected # 异常测试 def test_divide_by_zero(calculator): with pytest.raises(ZeroDivisionError): calculator.divide(1, 0) # 标记测试 @pytest.mark.slow def test_complex_calculation(calculator): result = calculator.complex_operation() assert result > 0 # 跳过测试 @pytest.mark....
write=self.reverse_write# ③return'JABBERWOCKY'# ④defreverse_write(self,text):# ⑤self.original_write(text[::-1])def__exit__(self,exc_type,exc_value,traceback):# ⑥sys.stdout.write=self.original_write# ⑦ifexc_typeisZeroDivisionError:# ⑧print('Please DO NOT divide by zero!')return...
在GCN normalization由于版本问题出现 除0警告,RuntimeWarning: divide by zero encountered in power d_inv_sqrt = np.power(row_sum, -0.5).flatten()Python的警告信息有时候很烦人,特别是因为软件版本引起的警告,下面的代码可以去掉python输出的警告:import warnings ...