chore(tfhe): bump version to 0.5.3

Author: IceTDrinker

tfhe/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "tfhe"
-version = "0.5.2"
+version = "0.5.3"
 edition = "2021"
 readme = "../README.md"
 keywords = ["fully", "homomorphic", "encryption", "fhe", "cryptography"]

tfhe/docs/core_crypto/tutorial.md

@@ -9,7 +9,7 @@ Welcome to this tutorial about `TFHE-rs` `core_crypto` module.
 To use `TFHE-rs`, it first has to be added as a dependency in the `Cargo.toml`:
 
 ```toml
-tfhe = { version = "0.5.2", features = [ "x86_64-unix" ] }
+tfhe = { version = "0.5.3", features = [ "x86_64-unix" ] }
 ```
 
 This enables the `x86_64-unix` feature to have efficient implementations of various algorithms for `x86_64` CPUs on a Unix-like system. The 'unix' suffix indicates that the `UnixSeeder`, which uses `/dev/random` to generate random numbers, is activated as a fallback if no hardware number generator is available (like `rdseed` on `x86_64` or if the [`Randomization Services`](https://developer.apple.com/documentation/security/1399291-secrandomcopybytes?language=objc) on Apple platforms are not available). To avoid having the `UnixSeeder` as a potential fallback or to run on non-Unix systems (e.g., Windows), the `x86_64` feature is sufficient.
@@ -19,19 +19,19 @@ For Apple Silicon, the `aarch64-unix` or `aarch64` feature should be enabled. `a
 In short: For `x86_64`-based machines running Unix-like OSes:
 
 ```toml
-tfhe = { version = "0.5.2", features = ["x86_64-unix"] }
+tfhe = { version = "0.5.3", features = ["x86_64-unix"] }
 ```
 
 For Apple Silicon or aarch64-based machines running Unix-like OSes:
 
 ```toml
-tfhe = { version = "0.5.2", features = ["aarch64-unix"] }
+tfhe = { version = "0.5.3", features = ["aarch64-unix"] }
 ```
 
 For `x86_64`-based machines with the [`rdseed instruction`](https://en.wikipedia.org/wiki/RDRAND) running Windows:
 
 ```toml
-tfhe = { version = "0.5.2", features = ["x86_64"] }
+tfhe = { version = "0.5.3", features = ["x86_64"] }
 ```
 
 ### Commented code to double a 2-bit message in a leveled fashion and using a PBS with the `core_crypto` module.

tfhe/docs/getting_started/installation.md

@@ -8,12 +8,12 @@ To use `TFHE-rs` in your project, you first need to add it as a dependency in yo
 
 If you are using an `x86` machine:
 ```toml
-tfhe = { version = "0.5.2", features = [ "boolean", "shortint", "integer", "x86_64-unix" ] }
+tfhe = { version = "0.5.3", features = [ "boolean", "shortint", "integer", "x86_64-unix" ] }
 ```
 
 If you are using an `ARM` machine:
 ```toml
-tfhe = { version = "0.5.2", features = [ "boolean", "shortint", "integer", "aarch64-unix" ] }
+tfhe = { version = "0.5.3", features = [ "boolean", "shortint", "integer", "aarch64-unix" ] }
 ```
 
 {% hint style="info" %}

tfhe/docs/getting_started/quick_start.md

@@ -44,7 +44,7 @@ fn main() {
 
 The default configuration for x86 Unix machines:
 ```toml
-tfhe = { version = "0.5.2", features = ["integer", "x86_64-unix"]}
+tfhe = { version = "0.5.3", features = ["integer", "x86_64-unix"]}
 ```
 
 Configuration options for different platforms can be found [here](../getting_started/installation.md). Other rust and homomorphic types features can be found [here](../how_to/rust_configuration.md).

tfhe/docs/how_to/migrate_data.md

@@ -1,3 +1,3 @@
-# Migrating Data to TFHE-rs 0.5.2 (This Release)
+# Migrating Data to TFHE-rs 0.5.3 (This Release)
 
 Forward compatibility code to migrate data from TFHE-rs 0.4 to TFHE-rs 0.5 has been added in a minor release of TFHE-rs 0.4, the documentation about the process can be found [here](https://docs.zama.ai/tfhe-rs/v/0.4-1/how-to/migrate_data).

tfhe/docs/how_to/run_on_gpu.md

@@ -13,12 +13,12 @@ To use the `TFHE-rs GPU backend` in your project, you first need to add it as a
 
 If you are using an `x86` machine:
 ```toml
-tfhe = { version = "0.5.2", features = [ "boolean", "shortint", "integer", "x86_64-unix", "gpu" ] }
+tfhe = { version = "0.5.3", features = [ "boolean", "shortint", "integer", "x86_64-unix", "gpu" ] }
 ```
 
 If you are using an `ARM` machine:
 ```toml
-tfhe = { version = "0.5.2", features = [ "boolean", "shortint", "integer", "aarch64-unix", "gpu" ] }
+tfhe = { version = "0.5.3", features = [ "boolean", "shortint", "integer", "aarch64-unix", "gpu" ] }
 ```
 
 

tfhe/docs/how_to/serialization.md

@@ -11,7 +11,7 @@ To serialize our data, a [data format](https://serde.rs/#data-formats) should be
 
 [dependencies]
 # ...
-tfhe = { version = "0.5.2", features = ["integer","x86_64-unix"]}
+tfhe = { version = "0.5.3", features = ["integer","x86_64-unix"]}
 bincode = "1.3.3"
 ```
 

tfhe/docs/tutorials/ascii_fhe_string.md

@@ -24,7 +24,7 @@ To use the `FheUint8` type, the `integer` feature must be activated:
 
 [dependencies]
 # Default configuration for x86 Unix machines:
-tfhe = { version = "0.5.2", features = ["integer", "x86_64-unix"]}
+tfhe = { version = "0.5.3", features = ["integer", "x86_64-unix"]}
 ```
 
 Other configurations can be found [here](../getting_started/installation.md).

tfhe/docs/tutorials/parity_bit.md

@@ -19,7 +19,7 @@ This function returns a Boolean that will be either `true` or `false` so that th
 # Cargo.toml
 
 # Default configuration for x86 Unix machines:
-tfhe = { version = "0.5.2", features = ["integer", "x86_64-unix"]}
+tfhe = { version = "0.5.3", features = ["integer", "x86_64-unix"]}
 ```
 
 Other configurations can be found [here](../getting_started/installation.md).