Fix clippy lint that says we should implement Eq

src/util/crdt/bool.rs

@@ -3,7 +3,7 @@ use serde::{Deserialize, Serialize};
 use crate::crdt::crdt::*;
 
 /// Boolean, where `true` is an absorbing state
-#[derive(Clone, Copy, Debug, Serialize, Deserialize, PartialEq)]
+#[derive(Clone, Copy, Debug, Serialize, Deserialize, PartialEq, Eq)]
 pub struct Bool(bool);
 
 impl Bool {

src/util/crdt/deletable.rs

@@ -3,7 +3,7 @@ use serde::{Deserialize, Serialize};
 use crate::crdt::crdt::*;
 
 /// Deletable object (once deleted, cannot go back)
-#[derive(Clone, Copy, Debug, Serialize, Deserialize, PartialEq)]
+#[derive(Clone, Copy, Debug, Serialize, Deserialize, PartialEq, Eq)]
 pub enum Deletable<T> {
 	Present(T),
 	Deleted,

src/util/crdt/lww.rs

@@ -37,7 +37,7 @@ use crate::crdt::crdt::*;
 ///
 /// This scheme is used by AWS S3 or Soundcloud and often without knowing
 /// in enterprise when reconciliating databases with ad-hoc scripts.
-#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
+#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
 pub struct Lww<T> {
 	ts: u64,
 	v: T,

src/util/crdt/lww_map.rs

@@ -23,7 +23,7 @@ use crate::crdt::crdt::*;
 /// However, note that even if we were using a more efficient data structure such as a `BTreeMap`,
 /// the serialization cost `O(n)` would still have to be paid at each modification, so we are
 /// actually not losing anything here.
-#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
+#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
 pub struct LwwMap<K, V> {
 	vals: Vec<(K, u64, V)>,
 }

src/util/crdt/map.rs

@@ -16,7 +16,7 @@ use crate::crdt::crdt::*;
 /// However, note that even if we were using a more efficient data structure such as a `BTreeMap`,
 /// the serialization cost `O(n)` would still have to be paid at each modification, so we are
 /// actually not losing anything here.
-#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
+#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
 pub struct Map<K, V> {
 	vals: Vec<(K, V)>,
 }