python def float_equal(a, b, epsilon=1e-9): return abs(a - b) < epsilon num1 = 0.1 + 0.2 num2 = 0.3 print(float_equal(num1, num2)) # 输出: True 在这个例子中,float_equal 函数通过比较两个数的差的绝对值是否小于 epsilon 来判断它们是否“相等”。 描述编译器警告-werror=float...
comparing floating point with == or != is unsafe 因为float数据类型存储的原因，导致编译器对比较时刻的精度不能保证准确的。建议 if(a == 0.3f)修改为 if((a-0.3f)<=0.001)或者用函数，以及宏定义（或常量）进行一个包装
The warning is ridiculous IMHO, because it suggests that only floating-pointcomparisonsare "unsafe" or surprising, whereas floating-pointarithmeticis perfectly "safe". It's the other way around. Well, floating-pointarithmeticis "safe" actually, but it might be a little bit surpring. And the l...
_scan_f’: tests.c:164: warning: comparison is always false due to limited range of data type tests.c:168: warning: comparison is always false due to limited range of data type tests.c: In function ‘test_minmea_float’: tests.c:646: warning: comparing floating point with == or !
Re: comparing floating point with borne shell >comparing floating point with borne shellThese are not the droids you want. :-)There is no such thing as borne shell, only ksh and posix shell.>Any way to convert 88.11 to a whole value instead of a decimal point value.Just use ...
Floating point types (float,doubleandlong double) cannot precisely represent some numbers because they have finite precision and represent the values in a binary format. Just like we have repeating decimals in base 10 for fractions such as 1/3, there are fractions that cannot be represented fini...
Comparing with epsilon – absolute error Since floating point calculations involve a bit of uncertainty we can try to allow for this by seeing if two numbers are ‘close’ to each other. If you decide – based on error analysis, testing, or a wild guess – that the result should always ...
Floating point numbers are represented internally in binary. Run the BINTOC sample that ships with VFP to see the actual binary representation: Start VFP, choose Tools->Task Pane->Solution Samples->New in VFP9->BINTOC Binary Conversion
Floating-point is complicated, but it is entirely deterministic; one of the simplest things you can do to make it more intuitive is to not mix precisions. If you're working with float, make sure all of your literals are suffixed with f to make them single precision, too....
GCC even has a (well intentioned but misguided) warning for this: “warning: comparing floating point with == or != is unsafe”. Here’s one example of the inexactness that can creep in: float f = 0.1f; float sum; sum = 0; for (int i = 0; i < 10; ++i) sum += f; ...