Fix documentation typos (#5118)

Co-authored-by: Ernesto García <ernestognw@gmail.com>

contracts/governance/README.adoc

@@ -140,7 +140,7 @@ Timelocked operations are identified by a unique id (their hash) and follow a sp
 * By calling xref:api:governance.adoc#TimelockController-schedule-address-uint256-bytes-bytes32-bytes32-uint256-[`schedule`] (or xref:api:governance.adoc#TimelockController-scheduleBatch-address---uint256---bytes---bytes32-bytes32-uint256-[`scheduleBatch`]), a proposer moves the operation from the `Unset` to the `Pending` state. This starts a timer that must be longer than the minimum delay. The timer expires at a timestamp accessible through the xref:api:governance.adoc#TimelockController-getTimestamp-bytes32-[`getTimestamp`] method.
 * Once the timer expires, the operation automatically gets the `Ready` state. At this point, it can be executed.
 * By calling xref:api:governance.adoc#TimelockController-TimelockController-execute-address-uint256-bytes-bytes32-bytes32-[`execute`] (or xref:api:governance.adoc#TimelockController-executeBatch-address---uint256---bytes---bytes32-bytes32-[`executeBatch`]), an executor triggers the operation's underlying transactions and moves it to the `Done` state. If the operation has a predecessor, it has to be in the `Done` state for this transition to succeed.
-* xref:api:governance.adoc#TimelockController-TimelockController-cancel-bytes32-[`cancel`] allows proposers to cancel any `Pending` operation. This resets the operation to the `Unset` state. It is thus possible for a proposer to re-schedule an operation that has been cancelled. In this case, the timer restarts when the operation is re-scheduled.
+* xref:api:governance.adoc#TimelockController-TimelockController-cancel-bytes32-[`cancel`] allows proposers to cancel any `Pending` operation. This resets the operation to the `Unset` state. It is thus possible for a proposer to re-schedule an operation that has been cancelled. In this case, the timer restarts when the operation is rescheduled.
 
 Operations status can be queried using the functions:
 

contracts/utils/README.adoc

@@ -24,7 +24,7 @@ Miscellaneous contracts and libraries containing utility functions you can use t
  * {EnumerableSet}: Like {EnumerableMap}, but for https://en.wikipedia.org/wiki/Set_(abstract_data_type)[sets]. Can be used to store privileged accounts, issued IDs, etc.
  * {DoubleEndedQueue}: An implementation of a https://en.wikipedia.org/wiki/Double-ended_queue[double ended queue] whose values can be removed added or remove from both sides. Useful for FIFO and LIFO structures.
  * {CircularBuffer}: A data structure to store the last N values pushed to it.
- * {Checkpoints}: A data structure to store values mapped to an strictly increasing key. Can be used for storing and accessing values over time.
+ * {Checkpoints}: A data structure to store values mapped to a strictly increasing key. Can be used for storing and accessing values over time.
  * {Heap}: A library that implements a https://en.wikipedia.org/wiki/Binary_heap[binary heap] in storage.
  * {MerkleTree}: A library with https://wikipedia.org/wiki/Merkle_Tree[Merkle Tree] data structures and helper functions.
  * {Create2}: Wrapper around the https://blog.openzeppelin.com/getting-the-most-out-of-create2/[`CREATE2` EVM opcode] for safe use without having to deal with low-level assembly.
@@ -35,8 +35,8 @@ Miscellaneous contracts and libraries containing utility functions you can use t
  * {ShortString}: Library to encode (and decode) short strings into (or from) a single bytes32 slot for optimizing costs. Short strings are limited to 31 characters.
  * {SlotDerivation}: Methods for deriving storage slot from ERC-7201 namespaces as well as from constructions such as mapping and arrays.
  * {StorageSlot}: Methods for accessing specific storage slots formatted as common primitive types. Also include primitives for reading from and writing to transient storage (only value types are currently supported).
- * {Multicall}: Abstract contract with an utility to allow batching together multiple calls in a single transaction. Useful for allowing EOAs to perform multiple operations at once.
- * {Context}: An utility for abstracting the sender and calldata in the current execution context.
+ * {Multicall}: Abstract contract with a utility to allow batching together multiple calls in a single transaction. Useful for allowing EOAs to perform multiple operations at once.
+ * {Context}: A utility for abstracting the sender and calldata in the current execution context.
  * {Packing}: A library for packing and unpacking multiple values into bytes32
  * {Panic}: A library to revert with https://docs.soliditylang.org/en/v0.8.20/control-structures.html#panic-via-assert-and-error-via-require[Solidity panic codes].
  * {Comparators}: A library that contains comparator functions to use with with the {Heap} library.

docs/modules/ROOT/pages/erc4626.adoc

@@ -41,7 +41,7 @@ image::erc4626-mint.png[Minting shares]
 
 Symmetrically, if we focus on limiting our losses to a maximum of 0.5%, we need to get at least 200 shares. With the green exchange rate that requires just 20 tokens, but with the orange rate that requires 200000 tokens.
 
-We can clearly see that that the blue and green curves correspond to vaults that are safer than the yellow and orange curves.
+We can clearly see that the blue and green curves correspond to vaults that are safer than the yellow and orange curves.
 
 The idea of an inflation attack is that an attacker can donate assets to the vault to move the rate curve to the right, and make the vault unsafe.
 

docs/modules/ROOT/pages/utilities.adoc

@@ -8,7 +8,7 @@ Here are some of the more popular ones.
 
 === Checking Signatures On-Chain
 
-At a high level, signatures are a set of cryptographic algorithms that allow for a _signer_ to prove himself owner of a _private key_ used to authorize an piece of information (generally a transaction or `UserOperation`). Natively, the EVM supports the Elliptic Curve Digital Signature Algorithm (https://en.wikipedia.org/wiki/Elliptic_Curve_Digital_Signature_Algorithm[ECDSA]) using the secp256k1 curve, however other signature algorithms such as P256 and RSA are supported.
+At a high level, signatures are a set of cryptographic algorithms that allow for a _signer_ to prove himself owner of a _private key_ used to authorize a piece of information (generally a transaction or `UserOperation`). Natively, the EVM supports the Elliptic Curve Digital Signature Algorithm (https://en.wikipedia.org/wiki/Elliptic_Curve_Digital_Signature_Algorithm[ECDSA]) using the secp256k1 curve, however other signature algorithms such as P256 and RSA are supported.
 
 ==== Ethereum Signatures (secp256k1)
 
@@ -34,7 +34,7 @@ WARNING: Getting signature verification right is not trivial: make sure you full
 
 P256, also known as secp256r1, is one of the most used signature schemes. P256 signatures are standardized by the National Institute of Standards and Technology (NIST) and it's widely available in consumer hardware and software.
 
-These signatures are different to regular Ethereum Signatures (secp256k1) in that they use a different elliptic curve to perform operations but have similar security guarantees.
+These signatures are different from regular Ethereum Signatures (secp256k1) in that they use a different elliptic curve to perform operations but have similar security guarantees.
 
 [source,solidity]
 ----
@@ -195,9 +195,9 @@ The `Enumerable*` structures are similar to mappings in that they store and remo
 
 === Building a Merkle Tree
 
-Building an on-chain Merkle Tree allow developers to keep track of the history of roots in a decentralized manner. For these cases, the xref:api:utils.adoc#MerkleTree[`MerkleTree`] includes a predefined structure with functions to manipulate the tree (e.g. pushing values or resetting the tree).
+Building an on-chain Merkle Tree allows developers to keep track of the history of roots in a decentralized manner. For these cases, the xref:api:utils.adoc#MerkleTree[`MerkleTree`] includes a predefined structure with functions to manipulate the tree (e.g. pushing values or resetting the tree).
 
-The Merkle Tree does not keep track of the roots purposely, so that developers can choose their tracking mechanism. Setting up and using an Merkle Tree in Solidity is as simple as follows:
+The Merkle Tree does not keep track of the roots purposely, so that developers can choose their tracking mechanism. Setting up and using a Merkle Tree in Solidity is as simple as follows:
 
 NOTE: Functions are exposed without access control for demonstration purposes
 
@@ -218,7 +218,7 @@ function push(bytes32 leaf) public /* onlyOwner */ {
 
 The library also supports custom hashing functions, which can be passed as an extra parameter to the xref:api:utils.adoc#MerkleTree-push-struct-MerkleTree-Bytes32PushTree-bytes32-[`push`] and xref:api:utils.adoc#MerkleTree-setup-struct-MerkleTree-Bytes32PushTree-uint8-bytes32-[`setup`] functions.
 
-Using custom hashing functions is a sensitive operation. After setup, it requires to keep using the same hashing function for every new valued pushed to the tree to avoid corrupting the tree. For this reason, it's a good practice to keep your hashing function static in your implementation contract as follows:
+Using custom hashing functions is a sensitive operation. After setup, it requires to keep using the same hashing function for every new value pushed to the tree to avoid corrupting the tree. For this reason, it's a good practice to keep your hashing function static in your implementation contract as follows:
 
 [source,solidity]
 ----
@@ -272,7 +272,7 @@ function replace(Uint256Heap storage self, uint256 newValue) internal returns (u
 
 === Packing
 
-The storage in the EVM is shaped in chunks of 32 bytes, each of this chunks is known as _slot_, and can hold multiple values together as long as these values don't exceed its size. These properties of the storage allows for a technique known as _packing_, that consists of placing values together on a single storage slot to reduce the costs associated to reading and writing to multiple slots instead of just one.
+The storage in the EVM is shaped in chunks of 32 bytes, each of this chunks is known as _slot_, and can hold multiple values together as long as these values don't exceed its size. These properties of the storage allow for a technique known as _packing_, that consists of placing values together on a single storage slot to reduce the costs associated to reading and writing to multiple slots instead of just one.
 
 Commonly, developers pack values using structs that place values together so they fit better in storage. However, this approach requires to load such struct from either calldata or memory. Although sometimes necessary, it may be useful to pack values in a single slot and treat it as a packed value without involving calldata or memory.