![]() Likewise, there are issues of floating point rounding where the equality check is useless. If instead we had some value that did not divide evenly into the range, we could end up with scenarios where the change doesn’t occur when it otherwise should force the value to one of the extremes (e.g. 002 is the only value we add and subtract, then we’re guaranteed to hit the bounds exactly (barring any nasty floating point rounding). That way, I would only have to check if a change in the value would breach the range: num = 0Īs you may know, however, this particular condition is only possible because of the increment we picked. To do that, I was extremely careful to make sure any changes in the value were within that range. When I first encountered this problem, I had a number that I wanted to bound between 0 and. Otherwise, let’s get into it! Clamp a Float by Anticipating Possible Result If you prefer to get straight to the better solutions, feel free to skip ahead. Once again, I like to dive into the homemade solutions first, before we get into anything useful. Today, we’ll talk about how to clamp values between some bounds. Well, as it turns out, this problem is well documented in the space, enough to have its own term: clamping. If an event triggers damage greater than the bots current health, we probably don’t want the health to go to zero. For instance, if you want to track HP, you probably have some maximum value and some minimum value (usually 0). Unfortunately, one of the challenges with tracking floating point values is that they aren’t easy to keep within certain bounds. Eventually, I settled on floating point values because I wanted numbers that I could infinitely divide (in theory). To do that, I needed some sort of global fields that I could update as events occur. For instance, I wanted my bot to have features like health and damage. Refer to the following code for some examples.Recently, I was trying to build out a Discord bot with videogame-like features. To achieve integer division, one can use the // operator. In Python, the division performed by the division operation ( /) is, by default, float division. Note that the examples provided will try to cover most of the possible cases. Different Ways to Perform Float Division in PythonĮssentially, Python has two ways to perform float division, and we will try to learn them through some examples. In this article, we will learn to perform float division in Python with the help of relevant examples. ![]() Whereas, in the case of dynamically-typed programming languages such as Python, Groovy, PHP, Lua, and JavaScript, it depends on the numerical values (since variables don’t have a fixed data type and can be reused for a different type of values).Īs stated above, Python is a dynamically-typed programming language. In statically-typed programming languages such as C, C++, Go, Scala, and Java, floating division depends on the data type of the variables and the numerical values. ![]() Essentially, the floating part is completely removed from the result. In comparison, integer division refers to an integer approximation of the quotient. ![]() Float division refers to a floating-point approximation of the result of a division or, mathematically speaking, the quotient.
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