You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: count_min_sketch.rs
    path of file: ./repos/Rust/src/data_structures/probabilistic
    
    the code of the file until where you have to start completion: use std::collections::hash_map::RandomState;
use std::fmt::{Debug, Formatter};
use std::hash::{BuildHasher, Hash};

/// A probabilistic data structure holding an approximate count for diverse items efficiently (using constant space)
///
/// Let's imagine we want to count items from an incoming (unbounded) data stream
/// One way to do this would be to hold a frequency hashmap, counting element hashes
/// This works extremely well, but unfortunately would require a lot of memory if we have a huge diversity of incoming items in the data stream
///
/// CountMinSketch aims at solving this problem,
    
    fn inspect_counts() {
        let mut sketch: HashCountMinSketch<&str, 5, 7> = HashCountMinSketch::default();
        sketch.increment("test");
        // Inspect internal state:
        for counts in sketch.counts {
            let zeroes = counts.iter().filter(|count| **count == 0).count();
            assert_eq!(4, zeroes);
            let ones = counts.iter().filter(|count| **count == 1).count();
            assert_eq!(1, ones);
        }
        sketch.increment("test");
        for counts in sketch.counts {
            let zeroes = counts.iter().filter(|count| **count == 0).count();
            assert_eq!(4, zeroes);
            let twos = counts.iter().filter(|count| **count == 2).count();
            assert_eq!(1, twos);
        }

        // This one is actually deterministic
        assert_eq!(2, sketch.get_count("test"));
    }