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verifiable lagrange #12

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1 change: 1 addition & 0 deletions basic/verifiable_Lagrange_interpolation/.gitignore
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target
13 changes: 13 additions & 0 deletions basic/verifiable_Lagrange_interpolation/README.md
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# **Verifiable Lagrange interpolation**

Lagrange interpolation is a mathematical technique used to approximate a function that passes through a given set of points. It takes an input set of data points and computes a polynomial that passes through all of them.

Given a set of $n+1$ data points (or interpolation nodes) $X_0, X_1, ..., X_n$ with corresponding function values $Y_0, Y_1, ..., Y_n$, Lagrange interpolation seeks to find a polynomial of degree at most $n$ that passes through all these points.

Below, we provide a brief review of the implementation of a Lagrange interpolation in Python, which we will then convert to Cairo to transform it into a verifiable ZKML (Lagrange interpolation), using the Orion library.

Content overview:

1. Lagrange interpolation with Python: We start with the basic implementation of Lagrange interpolation using Python.
2. Convert your model to Cairo: In the subsequent stage, we will create a new scarb project and replicate our model to Cairo which is a language for creating STARK-provable programs.
3. Implementing Lagrange interpolation using Orion: To catalyze our development process, we will use the Orion Framework to construct the key functions to build our verifiable Lagrange interpolation.
10 changes: 10 additions & 0 deletions basic/verifiable_Lagrange_interpolation/Scarb.toml
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[package]
name = "lagrange"
version = "0.1.0"
description = "Verifiable Lagrange Interpolation"

[dependencies]
orion = { git = "https://github.com/gizatechxyz/orion.git", rev = "v0.1.9" }

[scripts]
test = "scarb cairo-test -f lagrange_test"
351 changes: 351 additions & 0 deletions basic/verifiable_Lagrange_interpolation/notebooks/lagrange.ipynb

Large diffs are not rendered by default.

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mod X;
mod Y;
mod x;
mod y;
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use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};

fn X() -> Tensor<FP16x16>{

let mut shape = ArrayTrait::new();
shape.append(11);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(327680, false));
data.append(FixedTrait::new(311642, false));
data.append(FixedTrait::new(265098, false));
data.append(FixedTrait::new(192605, false));
data.append(FixedTrait::new(101258, false));
data.append(FixedTrait::new(0, false));
data.append(FixedTrait::new(101258, true));
data.append(FixedTrait::new(192605, true));
data.append(FixedTrait::new(265098, true));
data.append(FixedTrait::new(311642, true));
data.append(FixedTrait::new(327680, true));
let tensor = TensorTrait::<FP16x16>::new(shape.span(), data.span());
return tensor;
}
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use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};

fn Y() -> Tensor<FP16x16>{

let mut shape = ArrayTrait::new();
shape.append(11);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(2520, false));
data.append(FixedTrait::new(2775, false));
data.append(FixedTrait::new(3774, false));
data.append(FixedTrait::new(6800, false));
data.append(FixedTrait::new(19347, false));
data.append(FixedTrait::new(65536, false));
data.append(FixedTrait::new(19347, false));
data.append(FixedTrait::new(6800, false));
data.append(FixedTrait::new(3774, false));
data.append(FixedTrait::new(2775, false));
data.append(FixedTrait::new(2520, false));
let tensor = TensorTrait::<FP16x16>::new(shape.span(), data.span());
return tensor;
}
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use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};

fn x() -> Tensor<FP16x16>{

let mut shape = ArrayTrait::new();
shape.append(100);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(327680, true));
data.append(FixedTrait::new(321060, true));
data.append(FixedTrait::new(314440, true));
data.append(FixedTrait::new(307820, true));
data.append(FixedTrait::new(301200, true));
data.append(FixedTrait::new(294581, true));
data.append(FixedTrait::new(287961, true));
data.append(FixedTrait::new(281341, true));
data.append(FixedTrait::new(274721, true));
data.append(FixedTrait::new(268101, true));
data.append(FixedTrait::new(261482, true));
data.append(FixedTrait::new(254862, true));
data.append(FixedTrait::new(248242, true));
data.append(FixedTrait::new(241622, true));
data.append(FixedTrait::new(235002, true));
data.append(FixedTrait::new(228383, true));
data.append(FixedTrait::new(221763, true));
data.append(FixedTrait::new(215143, true));
data.append(FixedTrait::new(208523, true));
data.append(FixedTrait::new(201903, true));
data.append(FixedTrait::new(195284, true));
data.append(FixedTrait::new(188664, true));
data.append(FixedTrait::new(182044, true));
data.append(FixedTrait::new(175424, true));
data.append(FixedTrait::new(168804, true));
data.append(FixedTrait::new(162185, true));
data.append(FixedTrait::new(155565, true));
data.append(FixedTrait::new(148945, true));
data.append(FixedTrait::new(142325, true));
data.append(FixedTrait::new(135705, true));
data.append(FixedTrait::new(129086, true));
data.append(FixedTrait::new(122466, true));
data.append(FixedTrait::new(115846, true));
data.append(FixedTrait::new(109226, true));
data.append(FixedTrait::new(102606, true));
data.append(FixedTrait::new(95987, true));
data.append(FixedTrait::new(89367, true));
data.append(FixedTrait::new(82747, true));
data.append(FixedTrait::new(76127, true));
data.append(FixedTrait::new(69507, true));
data.append(FixedTrait::new(62888, true));
data.append(FixedTrait::new(56268, true));
data.append(FixedTrait::new(49648, true));
data.append(FixedTrait::new(43028, true));
data.append(FixedTrait::new(36408, true));
data.append(FixedTrait::new(29789, true));
data.append(FixedTrait::new(23169, true));
data.append(FixedTrait::new(16549, true));
data.append(FixedTrait::new(9929, true));
data.append(FixedTrait::new(3309, true));
data.append(FixedTrait::new(3309, false));
data.append(FixedTrait::new(9929, false));
data.append(FixedTrait::new(16549, false));
data.append(FixedTrait::new(23169, false));
data.append(FixedTrait::new(29789, false));
data.append(FixedTrait::new(36408, false));
data.append(FixedTrait::new(43028, false));
data.append(FixedTrait::new(49648, false));
data.append(FixedTrait::new(56268, false));
data.append(FixedTrait::new(62888, false));
data.append(FixedTrait::new(69507, false));
data.append(FixedTrait::new(76127, false));
data.append(FixedTrait::new(82747, false));
data.append(FixedTrait::new(89367, false));
data.append(FixedTrait::new(95987, false));
data.append(FixedTrait::new(102606, false));
data.append(FixedTrait::new(109226, false));
data.append(FixedTrait::new(115846, false));
data.append(FixedTrait::new(122466, false));
data.append(FixedTrait::new(129086, false));
data.append(FixedTrait::new(135705, false));
data.append(FixedTrait::new(142325, false));
data.append(FixedTrait::new(148945, false));
data.append(FixedTrait::new(155565, false));
data.append(FixedTrait::new(162185, false));
data.append(FixedTrait::new(168804, false));
data.append(FixedTrait::new(175424, false));
data.append(FixedTrait::new(182044, false));
data.append(FixedTrait::new(188664, false));
data.append(FixedTrait::new(195284, false));
data.append(FixedTrait::new(201903, false));
data.append(FixedTrait::new(208523, false));
data.append(FixedTrait::new(215143, false));
data.append(FixedTrait::new(221763, false));
data.append(FixedTrait::new(228383, false));
data.append(FixedTrait::new(235002, false));
data.append(FixedTrait::new(241622, false));
data.append(FixedTrait::new(248242, false));
data.append(FixedTrait::new(254862, false));
data.append(FixedTrait::new(261482, false));
data.append(FixedTrait::new(268101, false));
data.append(FixedTrait::new(274721, false));
data.append(FixedTrait::new(281341, false));
data.append(FixedTrait::new(287961, false));
data.append(FixedTrait::new(294581, false));
data.append(FixedTrait::new(301200, false));
data.append(FixedTrait::new(307820, false));
data.append(FixedTrait::new(314440, false));
data.append(FixedTrait::new(321060, false));
data.append(FixedTrait::new(327680, false));
let tensor = TensorTrait::<FP16x16>::new(shape.span(), data.span());
return tensor;
}
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use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};

fn y() -> Tensor<FP16x16>{

let mut shape = ArrayTrait::new();
shape.append(100);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(2520, false));
data.append(FixedTrait::new(3257, false));
data.append(FixedTrait::new(3016, false));
data.append(FixedTrait::new(2402, false));
data.append(FixedTrait::new(1805, false));
data.append(FixedTrait::new(1449, false));
data.append(FixedTrait::new(1436, false));
data.append(FixedTrait::new(1778, false));
data.append(FixedTrait::new(2433, false));
data.append(FixedTrait::new(3321, false));
data.append(FixedTrait::new(4344, false));
data.append(FixedTrait::new(5402, false));
data.append(FixedTrait::new(6402, false));
data.append(FixedTrait::new(7267, false));
data.append(FixedTrait::new(7934, false));
data.append(FixedTrait::new(8366, false));
data.append(FixedTrait::new(8544, false));
data.append(FixedTrait::new(8473, false));
data.append(FixedTrait::new(8176, false));
data.append(FixedTrait::new(7692, false));
data.append(FixedTrait::new(7074, false));
data.append(FixedTrait::new(6385, false));
data.append(FixedTrait::new(5696, false));
data.append(FixedTrait::new(5080, false));
data.append(FixedTrait::new(4609, false));
data.append(FixedTrait::new(4354, false));
data.append(FixedTrait::new(4376, false));
data.append(FixedTrait::new(4732, false));
data.append(FixedTrait::new(5465, false));
data.append(FixedTrait::new(6608, false));
data.append(FixedTrait::new(8179, false));
data.append(FixedTrait::new(10184, false));
data.append(FixedTrait::new(12615, false));
data.append(FixedTrait::new(15450, false));
data.append(FixedTrait::new(18654, false));
data.append(FixedTrait::new(22179, false));
data.append(FixedTrait::new(25970, false));
data.append(FixedTrait::new(29959, false));
data.append(FixedTrait::new(34073, false));
data.append(FixedTrait::new(38233, false));
data.append(FixedTrait::new(42359, false));
data.append(FixedTrait::new(46366, false));
data.append(FixedTrait::new(50173, false));
data.append(FixedTrait::new(53702, false));
data.append(FixedTrait::new(56878, false));
data.append(FixedTrait::new(59635, false));
data.append(FixedTrait::new(61914, false));
data.append(FixedTrait::new(63668, false));
data.append(FixedTrait::new(64858, false));
data.append(FixedTrait::new(65460, false));
data.append(FixedTrait::new(65460, false));
data.append(FixedTrait::new(64858, false));
data.append(FixedTrait::new(63668, false));
data.append(FixedTrait::new(61914, false));
data.append(FixedTrait::new(59635, false));
data.append(FixedTrait::new(56878, false));
data.append(FixedTrait::new(53702, false));
data.append(FixedTrait::new(50173, false));
data.append(FixedTrait::new(46366, false));
data.append(FixedTrait::new(42359, false));
data.append(FixedTrait::new(38233, false));
data.append(FixedTrait::new(34073, false));
data.append(FixedTrait::new(29959, false));
data.append(FixedTrait::new(25970, false));
data.append(FixedTrait::new(22179, false));
data.append(FixedTrait::new(18654, false));
data.append(FixedTrait::new(15450, false));
data.append(FixedTrait::new(12615, false));
data.append(FixedTrait::new(10184, false));
data.append(FixedTrait::new(8179, false));
data.append(FixedTrait::new(6608, false));
data.append(FixedTrait::new(5465, false));
data.append(FixedTrait::new(4732, false));
data.append(FixedTrait::new(4376, false));
data.append(FixedTrait::new(4354, false));
data.append(FixedTrait::new(4609, false));
data.append(FixedTrait::new(5080, false));
data.append(FixedTrait::new(5696, false));
data.append(FixedTrait::new(6385, false));
data.append(FixedTrait::new(7074, false));
data.append(FixedTrait::new(7692, false));
data.append(FixedTrait::new(8176, false));
data.append(FixedTrait::new(8473, false));
data.append(FixedTrait::new(8544, false));
data.append(FixedTrait::new(8366, false));
data.append(FixedTrait::new(7934, false));
data.append(FixedTrait::new(7267, false));
data.append(FixedTrait::new(6402, false));
data.append(FixedTrait::new(5402, false));
data.append(FixedTrait::new(4344, false));
data.append(FixedTrait::new(3321, false));
data.append(FixedTrait::new(2433, false));
data.append(FixedTrait::new(1778, false));
data.append(FixedTrait::new(1436, false));
data.append(FixedTrait::new(1449, false));
data.append(FixedTrait::new(1805, false));
data.append(FixedTrait::new(2402, false));
data.append(FixedTrait::new(3016, false));
data.append(FixedTrait::new(3257, false));
data.append(FixedTrait::new(2520, false));
let tensor = TensorTrait::<FP16x16>::new(shape.span(), data.span());
return tensor;
}
4 changes: 4 additions & 0 deletions basic/verifiable_Lagrange_interpolation/src/generated.cairo
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mod X;
mod Y;
mod x;
mod y;
24 changes: 24 additions & 0 deletions basic/verifiable_Lagrange_interpolation/src/generated/X.cairo
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use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};

fn X() -> Tensor<FP16x16>{

let mut shape = ArrayTrait::new();
shape.append(11);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(327680, false));
data.append(FixedTrait::new(311642, false));
data.append(FixedTrait::new(265098, false));
data.append(FixedTrait::new(192605, false));
data.append(FixedTrait::new(101258, false));
data.append(FixedTrait::new(0, false));
data.append(FixedTrait::new(101258, true));
data.append(FixedTrait::new(192605, true));
data.append(FixedTrait::new(265098, true));
data.append(FixedTrait::new(311642, true));
data.append(FixedTrait::new(327680, true));
let tensor = TensorTrait::<FP16x16>::new(shape.span(), data.span());
return tensor;
}
24 changes: 24 additions & 0 deletions basic/verifiable_Lagrange_interpolation/src/generated/Y.cairo
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use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};

fn Y() -> Tensor<FP16x16>{

let mut shape = ArrayTrait::new();
shape.append(11);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(2520, false));
data.append(FixedTrait::new(2775, false));
data.append(FixedTrait::new(3774, false));
data.append(FixedTrait::new(6800, false));
data.append(FixedTrait::new(19347, false));
data.append(FixedTrait::new(65536, false));
data.append(FixedTrait::new(19347, false));
data.append(FixedTrait::new(6800, false));
data.append(FixedTrait::new(3774, false));
data.append(FixedTrait::new(2775, false));
data.append(FixedTrait::new(2520, false));
let tensor = TensorTrait::<FP16x16>::new(shape.span(), data.span());
return tensor;
}
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