Merge Develop into Main

.all-contributorsrc

@@ -230,7 +230,7 @@
       "name": "Mahmoud Mohajer",
       "avatar_url": "https://avatars.githubusercontent.com/u/89094323?v=4",
       "profile": "https://medium.com/@mohajermahmoud3",
-       "contributions": [
+      "contributions": [
         "code"
       ]
     },
@@ -251,6 +251,15 @@
       "contributions": [
         "code"
       ]
+    },
+    {
+      "login": "akhercha",
+      "name": "akhercha",
+      "avatar_url": "https://avatars.githubusercontent.com/u/22559023?v=4",
+      "profile": "https://t.me/notaihe",
+      "contributions": [
+        "code"
+      ]
     }
   ],
   "contributorsPerLine": 7,

.github/workflows/test.yaml

@@ -9,5 +9,5 @@ jobs:
       - uses: actions/checkout@v3
       - uses: software-mansion/setup-scarb@v1
         with:
-          scarb-version: "2.3.0"
+          scarb-version: "2.4.0"
       - run: scarb test --workspace && scarb fmt --workspace

README.md

@@ -23,7 +23,7 @@
 
 # Orion: An Open-source Framework for Validity and ZK ML ✨
 <!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
-[![All Contributors](https://img.shields.io/badge/all_contributors-25-orange.svg?style=flat-square)](#contributors-)
+[![All Contributors](https://img.shields.io/badge/all_contributors-28-orange.svg?style=flat-square)](#contributors-)
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 Orion is an open-source, community-driven framework dedicated to Provable Machine Learning. It provides essential components and a new ONNX runtime for building verifiable Machine Learning models using [STARKs](https://starkware.co/stark/).
@@ -102,6 +102,7 @@ Thanks goes to these wonderful people:
       <td align="center" valign="top" width="14.28%"><a href="https://medium.com/@mohajermahmoud3"><img src="https://avatars.githubusercontent.com/u/89094323?v=4?s=100" width="100px;" alt="Mahmoud Mohajer"/><br /><sub><b>Mahmoud Mohajer</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/commits?author=MahmoudMohajer" title="Code">💻</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://github.com/HappyTomatoo"><img src="https://avatars.githubusercontent.com/u/143050661?v=4?s=100" width="100px;" alt="HappyTomatoo"/><br /><sub><b>HappyTomatoo</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/issues?q=author%3AHappyTomatoo" title="Bug reports">🐛</a></td>
       <td align="center" valign="top" width="14.28%"><a href="https://www.bilginkocak.com/"><img src="https://avatars.githubusercontent.com/u/30844607?v=4?s=100" width="100px;" alt="Bilgin Koçak"/><br /><sub><b>Bilgin Koçak</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/commits?author=bilgin-kocak" title="Code">💻</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://t.me/notaihe"><img src="https://avatars.githubusercontent.com/u/22559023?v=4?s=100" width="100px;" alt="akhercha"/><br /><sub><b>akhercha</b></sub></a><br /><a href="https://github.com/gizatechxyz/orion/commits?author=akhercha" title="Code">💻</a></td>
     </tr>
   </tbody>
 </table>

Scarb.toml

@@ -1,13 +1,17 @@
 [package]
 name = "orion"
-version = "0.1.7"
+version = "0.1.9"
+cairo-version = "2.4.0"
+edition = "2023_10"
 description = "ONNX Runtime in Cairo for verifiable ML inference using STARK"
 homepage = "https://github.com/gizatechxyz/orion"
 
 [dependencies]
-alexandria_data_structures = { git = "https://github.com/keep-starknet-strange/alexandria.git", rev = "f37d73d" }
-alexandria_sorting = { git = "https://github.com/keep-starknet-strange/alexandria.git", rev = "f37d73d" }
-cubit = { git = "https://github.com/influenceth/cubit.git", rev = "b459053" }
+alexandria_merkle_tree = { git = "https://github.com/keep-starknet-strange/alexandria.git", rev = "01a7690" }
+alexandria_data_structures = { git = "https://github.com/keep-starknet-strange/alexandria.git", rev = "01a7690" }
+alexandria_sorting = { git = "https://github.com/keep-starknet-strange/alexandria.git", rev = "01a7690" }
+# TODO: update to https://github.com/influenceth/cubit & change rev
+cubit = { git = "https://github.com/akhercha/cubit.git", rev = "d3869a3" }
 
 [scripts]
 sierra = "cairo-compile . -r"

docs/academy/tutorials/implement-new-operators-in-orion.md

@@ -208,7 +208,7 @@ trait NNTrait<T> {
     /// ## Examples
     /// 
     /// ```rust
-    /// use array::{ArrayTrait, SpanTrait};
+    /// use core::array::{ArrayTrait, SpanTrait};
     /// 
     /// use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
     /// use orion::operators::nn::{NNTrait, FP8x23NN};

docs/academy/tutorials/mnist-classification-with-orion.md

@@ -392,7 +392,7 @@ os.makedirs('src/generated', exist_ok=True)
 for tensor_name, tensor in tensors.items():
     with open(os.path.join('src', 'generated', f"{tensor_name}.cairo"), "w") as f:
         f.write(
-            "use array::ArrayTrait;\n" +
+            "use core::array::ArrayTrait;\n" +
             "use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};\n" +
             "use orion::numbers::i32;\n\n" +
             "\nfn {0}() -> Tensor<i32> ".format(tensor_name) + "{\n" +
@@ -431,7 +431,7 @@ We have just created a file called `lib.cairo`, which contains a module declarat
 Here is a file we generated: `fc1_bias.cairo`
 
 ```rust
-use array::ArrayTrait;
+use core::array::ArrayTrait;
 use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
 use orion::numbers::i32;
 

docs/academy/tutorials/verifiable-linear-regression-model-in-orion.md

@@ -164,7 +164,7 @@ def generate_cairo_files(data, name):
     os.makedirs('src/generated', exist_ok=True)
     with open(os.path.join('src', 'generated', f"{name}.cairo"), "w") as f:
             f.write(
-                "use array::ArrayTrait;\n" +
+                "use core::array::ArrayTrait;\n" +
                 "use orion::operators::tensor::{FP16x16Tensor, TensorTrait, Tensor};\n" +
                 "use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};\n"
                 "\nfn {0}() -> Tensor<FixedType>  ".format(name) + "{\n" +
@@ -200,7 +200,7 @@ mod lin_reg_func;
 This will tell our compiler to include the separate modules listed above during the compilation of our code. We will be covering each module in detail in the following section, but let’s first review the generated folder files.
 
 ```rust
-use array::ArrayTrait;
+use core::array::ArrayTrait;
 use orion::operators::tensor::{FP16x16Tensor, TensorTrait, Tensor};
 use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
 
@@ -343,7 +343,7 @@ Calculating the y-intercept is fairly simple, we just need to substitute the cal
 Now that we have implemented all the necessary functions for the OLS method, we can finally test our linear regression model. We begin by creating a new separate test file named `test.cairo` and import all the necessary Orion libraries including our `X_values` and `y_values` found in the generated folder. We also import all the OLS functions from `lin_reg_func.cairo` file as we will be relying upon them to construct the regression model.
 
 ```rust
-use debug::PrintTrait;
+use core::debug::PrintTrait;
 
 use verifiable_linear_regression::generated::X_values::X_values;
 use verifiable_linear_regression::generated::Y_values::Y_values;

docs/academy/tutorials/verifiable-support-vector-machine.md

@@ -196,7 +196,7 @@ def generate_cairo_files(data, name):
 
     with open(os.path.join('src', 'generated', f"{name}.cairo"), "w") as f:
         f.write(
-            "use array::ArrayTrait;\n" +
+            "use core::array::ArrayTrait;\n" +
             "use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};\n" +
             "use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};\n" +
             "\n" + f"fn {name}() -> Tensor<FP16x16>" + "{\n\n" + 
@@ -237,7 +237,7 @@ mod helper;
 This will tell our compiler to include the separate modules listed above during the compilation of our code. We will be covering each module in detail in the following section, but let’s first review the generated folder files.
 
 ```rust
-use array::ArrayTrait;
+use core::array::ArrayTrait;
 use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
 use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
 
@@ -449,9 +449,9 @@ fn pred(x: @Tensor<FP16x16>, w: @Tensor<FP16x16>) -> Tensor<FP16x16> {
 Finally, our `train.cairo` file implements model training using the functions described earlier and is executed as part of our model tests.
 
 ```rust
-use debug::PrintTrait;
+use core::debug::PrintTrait;
 use traits::TryInto;
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 use orion::operators::tensor::{
     Tensor, TensorTrait, FP16x16Tensor, FP16x16TensorAdd, FP16x16TensorMul, FP16x16TensorSub,
     FP16x16TensorDiv
@@ -576,7 +576,7 @@ Now that we have implemented all the necessary functions for SVM, we can finally
 
 ```rust
 use traits::TryInto;
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 use orion::operators::tensor::{
     Tensor, TensorTrait, FP16x16Tensor, FP16x16TensorAdd, FP16x16TensorMul, FP16x16TensorSub,
     FP16x16TensorDiv

docs/framework/get-started.md

@@ -3,7 +3,7 @@
 In this section, we will guide you to start using Orion successfully. We will help you install Cairo 1.0 and add Orion dependency in your project.
 
 {% hint style="info" %}
-Orion supports <mark style="color:orange;">**Cairo and Scarb v2.3.0**</mark>
+Orion supports <mark style="color:orange;">**Cairo and Scarb v2.4.0**</mark>
 {% endhint %}
 
 ## 📦 Installations
@@ -56,7 +56,7 @@ scarb build
 You can now use the `orion` in your files:
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
 use orion::operators::nn::{NNTrait, I32NN};

docs/framework/operators/neural-network/nn.hard_sigmoid.md

@@ -27,7 +27,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/neural-network/nn.leaky_relu.md

@@ -22,7 +22,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/neural-network/nn.linear.md

@@ -23,7 +23,7 @@ A `Tensor<T>` representing the result of the linear transformation.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
 use orion::operators::nn::{NNTrait, I32NN};

docs/framework/operators/neural-network/nn.logsoftmax.md

@@ -26,7 +26,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/neural-network/nn.relu.md

@@ -21,7 +21,7 @@ A `Tensor<T>` with the same shape as the input tensor.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
 use orion::operators::nn::{NNTrait, I32NN};

docs/framework/operators/neural-network/nn.sigmoid.md

@@ -25,7 +25,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/neural-network/nn.softmax.md

@@ -26,7 +26,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23Tensor};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/neural-network/nn.softplus.md

@@ -25,7 +25,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/neural-network/nn.softsign.md

@@ -25,7 +25,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/neural-network/nn.thresholded_relu.md

@@ -22,7 +22,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23};
 use orion::operators::nn::{NNTrait, FP8x23NN};

docs/framework/operators/tensor/README.md

@@ -137,7 +137,7 @@ Two tensors are “broadcastable” if the following rules hold:
 Element-wise add.
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor, U32TensorAdd};
 
 fn element_wise_add_example() -> Tensor<u32> {
@@ -158,7 +158,7 @@ fn element_wise_add_example() -> Tensor<u32> {
 Add two tensors of different shapes but compatible in broadcasting.
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor, U32TensorAdd};
 
 fn broadcasting_add_example() -> Tensor<u32> {

docs/framework/operators/tensor/tensor.abs.md

@@ -19,7 +19,7 @@ the absolute value of all elements in the input tensor.
 ## Example
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
 use orion::numbers::{i32, IntegerTrait};

docs/framework/operators/tensor/tensor.acos.md

@@ -23,7 +23,7 @@ Constrain input and output types to fixed point tensors.
 ## Example
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23Tensor};
 use orion::numbers::{FP8x23, FixedTrait};

docs/framework/operators/tensor/tensor.acosh.md

@@ -24,7 +24,7 @@ Constrain input and output types to fixed point tensors.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23Tensor};
 use orion::numbers::{FixedTrait, FP8x23};

docs/framework/operators/tensor/tensor.and.md

@@ -25,7 +25,7 @@ A new `Tensor<bool>` with the same shape as the broadcasted inputs.
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
 

docs/framework/operators/tensor/tensor.argmax.md

@@ -26,7 +26,7 @@ A new `Tensor<T>` instance containing the indices of the maximum values along th
 Case 1: argmax with default parameters
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
 
@@ -43,7 +43,7 @@ fn argmax_example() -> Tensor<usize> {
 Case 2: argmax with keepdims set to false
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
 
@@ -62,7 +62,7 @@ fn argmax_example() -> Tensor<usize> {
 Case 3: argmax with select_last_index set to true
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
 

docs/framework/operators/tensor/tensor.argmin.md

@@ -26,7 +26,7 @@ A new `Tensor<T>` instance containing the indices of the minimum values along th
 Case 1: argmin with default parameters
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
 
@@ -44,7 +44,7 @@ fn argmin_example() -> Tensor<usize> {
 Case 2: argmin with keepdims set to false
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
 
@@ -63,7 +63,7 @@ fn argmin_example() -> Tensor<usize> {
 Case 3: argmin with select_last_index set to true
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
 

docs/framework/operators/tensor/tensor.array_feature_extractor.md

@@ -22,7 +22,7 @@ A new `Tensor<T>` of the same shape as the input tensor with selected elements b
 ## Example
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor, U32Tensor};
 use orion::numbers::{i32, IntegerTrait};
 

docs/framework/operators/tensor/tensor.asin.md

@@ -23,7 +23,7 @@ Constrain input and output types to fixed point tensors.
 ## Example
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
+use core::array::{ArrayTrait, SpanTrait};
 
 use orion::operators::tensor::{TensorTrait, Tensor, FP8x23Tensor};
 use orion::numbers::{FixedTrait, FP8x23};