Search Results for "use case"

Parse environment variables to structs in Go. In Go, it’s dead simple to get the value from an environment variable. If you have a type that is not supported out of the box by the lib, you are able to use (or define) and pass custom parsers (and their associated reflect.Type) to the env.ParseWithFuncs() function. Env supports by default anything that implements the TextUnmarshaler interface. That includes things like time.Time for example. The upside is that depending on the format you need,...

...When most decoding errors occur, go-toml returns DecodeError), which contains a human readable contextualized version of the error. TOML supports native local date/times. It allows to represent a given date, time, or date-time without relation to a timezone or offset. To support this use-case, go-toml provides LocalDate, LocalTime, and LocalDateTime.

...Now supported only UNIX-based OS (Windows is not supported). But the library was tested only on Linux and OSX, so if you have the ability to test the library on other platforms, give me feedback, please (#26). We can not use fork syscall in Golang's runtime, because child process doesn't inherit threads and goroutines in that case. The library uses a simple trick: it runs its own copy with a mark - a predefined environment variable. Availability of the variable for the process means execution in the child's copy. So that if the mark is not set - the library executes the parent's operations and runs its own copy with the mark, and if the mark is set - the library executes the child's operations.

...The library is particularly useful for generating thumbnails or resizing images while preserving key visual elements. It supports different aspect ratios and can be customized to prioritize certain features depending on the use case. smartcrop is designed to be efficient and easy to integrate into applications that require automated image processing. It can be used in web services, content management systems, or media pipelines. Overall, smartcrop provides an intelligent approach to image cropping that improves visual quality.