what are some common use cases for io.Pipe in Go

1. Connecting Code Expecting `io.Reader` with Code Expecting `io.Writer`:
- `io.Pipe` creates a synchronous in-memory pipe that can be used to connect code expecting an `io.Reader` with code expecting an `io.Writer`. This allows for seamless composition of components based on best practices[1][2].

2. Splitting Data with `TeeReader`:
- `TeeReader` can be used to split the input data into two streams. This is useful when you need to process the data in two different ways, such as sending it to an HTTP endpoint and also printing it to the console[1].

3. Benchmarking Code that Processes `io.Reader`:
- `io.Pipe` can be used to stream generated data as an `io.Reader` for benchmarking code that processes `io.Reader`[4].

4. Implementing Custom `io.Reader`:
- `io.Pipe` can be used to create a custom `io.Reader` that feeds data from a user-defined callback. This is useful when you need to generate data dynamically and feed it into a process that expects an `io.Reader`[4].

5. Handling Concurrency:
- `io.Pipe` ensures that reads and writes are matched one-to-one, which is important for concurrency. It also allows for parallel calls to Read and Write, which are gated sequentially to prevent deadlocks[3].

These examples demonstrate the versatility and power of `io.Pipe` in Go, enabling developers to build efficient and scalable I/O handling pipelines.