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e3b656a036 Changed / route to a redirect
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2026-03-21 10:23:49 +01:00
2d1c5e6397 Fix eslint 2026-03-21 10:23:17 +01:00
a99108649c Removed unused tests
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2026-03-21 10:11:56 +01:00
946d6b0e68 Added README 2026-03-21 10:10:22 +01:00
5391eb465f Retry
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2026-03-21 09:54:26 +01:00
c4922b90a3 Fix try for CICD
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2026-03-21 09:50:03 +01:00
a70b7670e7 Use correct naming for iteration and epoch
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2026-03-21 09:46:35 +01:00
6abb417430 Added Limited Epoch Event Buffer
for better frontend performance when using big  max epoch number
2026-03-21 09:42:05 +01:00
32 changed files with 228 additions and 853 deletions

42
README.md Normal file
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@@ -0,0 +1,42 @@
# Perceptron and neuronal networks
Using Laravel and Vue JS
## Installation
1. Install PHP, Composer and NodeJs
- With Herd
<https://herd.laravel.com/windows>
- Using a single command from the [Laravel installation page](https://laravel.com/docs/12.x/installation)
```powershell
# Run as administrator...
Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://php.new/install/windows/8.4'))
```
- Manually :
1. PHP
<https://www.php.net/downloads.php>
2. Composer
<https://getcomposer.org/download/>
3. NodeJs (Node + NPM)
<https://nodejs.org/en/download>
2. Install dependencies
```shell
composer install
```
## Running the project
There is a script inside `composer.json` that will launch each part of the application in parallel.
To run this script :
```shell
composer run dev
```
And go with your favorite browser to <http://127.0.0.1:8000/>

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@@ -7,7 +7,6 @@ use Illuminate\Broadcasting\InteractsWithSockets;
use Illuminate\Contracts\Broadcasting\ShouldBroadcast; use Illuminate\Contracts\Broadcasting\ShouldBroadcast;
use Illuminate\Foundation\Events\Dispatchable; use Illuminate\Foundation\Events\Dispatchable;
use Illuminate\Queue\SerializesModels; use Illuminate\Queue\SerializesModels;
use Illuminate\Support\Facades\Log;
class PerceptronTrainingIteration implements ShouldBroadcast class PerceptronTrainingIteration implements ShouldBroadcast
{ {
@@ -17,7 +16,7 @@ class PerceptronTrainingIteration implements ShouldBroadcast
* Create a new event instance. * Create a new event instance.
*/ */
public function __construct( public function __construct(
public array $iterations, // ["iteration" => int, "exampleIndex" => int, "error" => float, "synaptic_weights" => array] public array $iterations, // ["epoch" => int, "exampleIndex" => int, "error" => float, "synaptic_weights" => array]
public string $sessionId, public string $sessionId,
public string $trainingId, public string $trainingId,
) )

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@@ -8,6 +8,7 @@ use App\Models\SimpleBinaryPerceptronTraining;
use App\Services\DataSetReader; use App\Services\DataSetReader;
use App\Services\ISynapticWeightsProvider; use App\Services\ISynapticWeightsProvider;
use App\Services\PerceptronIterationEventBuffer; use App\Services\PerceptronIterationEventBuffer;
use App\Services\PerceptronLimitedEpochEventBuffer;
use App\Services\ZeroSynapticWeights; use App\Services\ZeroSynapticWeights;
use Illuminate\Http\Request; use Illuminate\Http\Request;
@@ -91,8 +92,15 @@ class PerceptronController extends Controller
case 'simple': case 'simple':
$dataset['defaultLearningRate'] = 0.015; $dataset['defaultLearningRate'] = 0.015;
break; break;
case 'gradientdescent':
$dataset['defaultLearningRate'] = 0.001;
$dataset['defaultMinError'] = 2.0;
break;
} }
break; break;
case 'table_2_11':
$dataset['defaultMinError'] = 1.0;
break;
} }
$datasets[] = $dataset; $datasets[] = $dataset;
} }
@@ -121,9 +129,14 @@ class PerceptronController extends Controller
$synapticWeightsProvider = new ZeroSynapticWeights(); $synapticWeightsProvider = new ZeroSynapticWeights();
} }
$iterationEventBuffer = new PerceptronIterationEventBuffer($sessionId, $trainingId);
if ($maxIterations > config('perceptron.limited_broadcast_iterations')) {
$iterationsInterval = (int)($maxIterations / config('perceptron.limited_broadcast_iterations'));
$iterationEventBuffer = new PerceptronLimitedEpochEventBuffer($sessionId, $trainingId, $iterationsInterval);
}
$dataSetReader = $this->getDataSetReader($dataSet); $dataSetReader = $this->getDataSetReader($dataSet);
$iterationEventBuffer = new PerceptronIterationEventBuffer($sessionId, $trainingId);
$networkTraining = match ($perceptronType) { $networkTraining = match ($perceptronType) {
'simple' => new SimpleBinaryPerceptronTraining($dataSetReader, $learningRate, $maxIterations, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId), 'simple' => new SimpleBinaryPerceptronTraining($dataSetReader, $learningRate, $maxIterations, $synapticWeightsProvider, $iterationEventBuffer, $sessionId, $trainingId),

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@@ -4,6 +4,7 @@ namespace App\Models;
use App\Events\PerceptronTrainingEnded; use App\Events\PerceptronTrainingEnded;
use App\Services\DataSetReader; use App\Services\DataSetReader;
use App\Services\IPerceptronIterationEventBuffer;
use App\Services\ISynapticWeightsProvider; use App\Services\ISynapticWeightsProvider;
use App\Services\PerceptronIterationEventBuffer; use App\Services\PerceptronIterationEventBuffer;
@@ -18,36 +19,36 @@ class GradientDescentPerceptronTraining extends NetworkTraining
public function __construct( public function __construct(
DataSetReader $datasetReader, DataSetReader $datasetReader,
protected float $learningRate, protected float $learningRate,
int $maxIterations, int $maxEpochs,
protected ISynapticWeightsProvider $synapticWeightsProvider, protected ISynapticWeightsProvider $synapticWeightsProvider,
PerceptronIterationEventBuffer $iterationEventBuffer, IPerceptronIterationEventBuffer $iterationEventBuffer,
string $sessionId, string $sessionId,
string $trainingId, string $trainingId,
private float $minError, private float $minError,
) { ) {
parent::__construct($datasetReader, $maxIterations, $iterationEventBuffer, $sessionId, $trainingId); parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
$this->perceptron = new GradientDescentPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize())); $this->perceptron = new GradientDescentPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize()));
} }
public function start(): void public function start(): void
{ {
$this->iteration = 0; $this->epoch = 0;
do { do {
$this->epochError = 0; $this->epochError = 0;
$iterationErrorPerWeight = []; $epochCorrectorPerWeight = [];
$this->iteration++; $this->epoch++;
while ($nextRow = $this->datasetReader->getRandomLine()) { while ($nextRow = $this->datasetReader->getRandomLine()) {
$inputs = array_slice($nextRow, 0, -1); $inputs = array_slice($nextRow, 0, -1);
$correctOutput = (float) end($nextRow); $correctOutput = (float) end($nextRow);
$iterationError = $this->iterationFunction($inputs, $correctOutput); $iterationError = $this->iterationFunction($inputs, $correctOutput);
$this->epochError += (1 / 2) * (abs($iterationError) ** 2); // TDDO REMOVEME abs() $this->epochError += ($iterationError ** 2) / 2;
// Store the iteration error for each weight // Store the iteration error for each weight
$inputs_with_bias = array_merge([1], $inputs); // Add bias input $inputs_with_bias = array_merge([1], $inputs); // Add bias input
foreach ($inputs_with_bias as $index => $input) { foreach ($inputs_with_bias as $index => $input) {
$iterationErrorPerWeight[$index][] = $iterationError * $input; $epochCorrectorPerWeight[$index][] = $iterationError * $input;
} }
// Broadcast the training iteration event // Broadcast the training iteration event
@@ -57,14 +58,14 @@ class GradientDescentPerceptronTraining extends NetworkTraining
// Synaptic weights correction after each epoch // Synaptic weights correction after each epoch
$synaptic_weights = $this->perceptron->getSynapticWeights(); $synaptic_weights = $this->perceptron->getSynapticWeights();
$new_weights = array_map( $new_weights = array_map(
fn($weight, $weightIndex) => $weight + $this->learningRate * array_sum($iterationErrorPerWeight[$weightIndex]), fn($weight, $weightIndex) => $weight + $this->learningRate * array_sum($epochCorrectorPerWeight[$weightIndex]),
$synaptic_weights, $synaptic_weights,
array_keys($synaptic_weights) array_keys($synaptic_weights)
); );
$this->perceptron->setSynapticWeights($new_weights); $this->perceptron->setSynapticWeights($new_weights);
$this->datasetReader->reset(); // Reset the dataset for the next iteration $this->datasetReader->reset(); // Reset the dataset for the next iteration
} while ($this->iteration < $this->maxIterations && !$this->stopCondition()); } while ($this->epoch < $this->maxEpochs && !$this->stopCondition());
$this->iterationEventBuffer->flush(); // Ensure all iterations are sent to the frontend $this->iterationEventBuffer->flush(); // Ensure all iterations are sent to the frontend

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@@ -4,11 +4,11 @@ namespace App\Models;
use App\Events\PerceptronTrainingEnded; use App\Events\PerceptronTrainingEnded;
use App\Services\DataSetReader; use App\Services\DataSetReader;
use App\Services\PerceptronIterationEventBuffer; use App\Services\IPerceptronIterationEventBuffer;
abstract class NetworkTraining abstract class NetworkTraining
{ {
protected int $iteration = 0; protected int $epoch = 0;
/** /**
* @abstract * @abstract
@@ -18,8 +18,8 @@ abstract class NetworkTraining
public function __construct( public function __construct(
protected DataSetReader $datasetReader, protected DataSetReader $datasetReader,
protected int $maxIterations, protected int $maxEpochs,
protected PerceptronIterationEventBuffer $iterationEventBuffer, protected IPerceptronIterationEventBuffer $iterationEventBuffer,
protected string $sessionId, protected string $sessionId,
protected string $trainingId, protected string $trainingId,
) { ) {
@@ -29,8 +29,8 @@ abstract class NetworkTraining
abstract protected function stopCondition(): bool; abstract protected function stopCondition(): bool;
protected function checkPassedMaxIterations(?float $finalError) { protected function checkPassedMaxIterations(?float $finalError) {
if ($this->iteration >= $this->maxIterations) { if ($this->epoch >= $this->maxEpochs) {
$message = 'Le nombre maximal d\'itérations a été atteint'; $message = 'Le nombre maximal d\'epoch a été atteint';
if ($finalError) { if ($finalError) {
$message .= " avec une erreur finale de $finalError"; $message .= " avec une erreur finale de $finalError";
} }
@@ -40,6 +40,6 @@ abstract class NetworkTraining
} }
protected function addIterationToBuffer(float $error, array $synapticWeights) { protected function addIterationToBuffer(float $error, array $synapticWeights) {
$this->iterationEventBuffer->addIteration($this->iteration, $this->datasetReader->getLastReadLineIndex(), $error, $synapticWeights); $this->iterationEventBuffer->addIteration($this->epoch, $this->datasetReader->getLastReadLineIndex(), $error, $synapticWeights);
} }
} }

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@@ -4,8 +4,8 @@ namespace App\Models;
use App\Events\PerceptronTrainingEnded; use App\Events\PerceptronTrainingEnded;
use App\Services\DataSetReader; use App\Services\DataSetReader;
use App\Services\IPerceptronIterationEventBuffer;
use App\Services\ISynapticWeightsProvider; use App\Services\ISynapticWeightsProvider;
use App\Services\PerceptronIterationEventBuffer;
class SimpleBinaryPerceptronTraining extends NetworkTraining class SimpleBinaryPerceptronTraining extends NetworkTraining
{ {
@@ -19,25 +19,25 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
public function __construct( public function __construct(
DataSetReader $datasetReader, DataSetReader $datasetReader,
protected float $learningRate, protected float $learningRate,
int $maxIterations, int $maxEpochs,
protected ISynapticWeightsProvider $synapticWeightsProvider, protected ISynapticWeightsProvider $synapticWeightsProvider,
PerceptronIterationEventBuffer $iterationEventBuffer, IPerceptronIterationEventBuffer $iterationEventBuffer,
string $sessionId, string $sessionId,
string $trainingId, string $trainingId,
) { ) {
parent::__construct($datasetReader, $maxIterations, $iterationEventBuffer, $sessionId, $trainingId); parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
$this->perceptron = new SimpleBinaryPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize())); $this->perceptron = new SimpleBinaryPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize()));
} }
public function start(): void public function start(): void
{ {
$this->iteration = 0; $this->epoch = 0;
$error = 0; $error = 0;
do { do {
$this->iterationErrorCounter = 0; $this->iterationErrorCounter = 0;
$this->iteration++; $this->epoch++;
while ($nextRow = $this->datasetReader->getRandomLine()) { while ($nextRow = $this->datasetReader->getNextLine()) {
$inputs = array_slice($nextRow, 0, -1); $inputs = array_slice($nextRow, 0, -1);
$correctOutput = (float) end($nextRow); $correctOutput = (float) end($nextRow);
$correctOutput = $correctOutput > 0 ? 1 : 0; // Modify labels for non binary datasets $correctOutput = $correctOutput > 0 ? 1 : 0; // Modify labels for non binary datasets
@@ -48,7 +48,7 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
$this->addIterationToBuffer($error, [[$this->perceptron->getSynapticWeights()]]); $this->addIterationToBuffer($error, [[$this->perceptron->getSynapticWeights()]]);
} }
$this->datasetReader->reset(); // Reset the dataset for the next iteration $this->datasetReader->reset(); // Reset the dataset for the next iteration
} while ($this->iteration < $this->maxIterations && !$this->stopCondition()); } while ($this->epoch < $this->maxEpochs && !$this->stopCondition());
$this->iterationEventBuffer->flush(); // Ensure all iterations are sent to the frontend $this->iterationEventBuffer->flush(); // Ensure all iterations are sent to the frontend

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@@ -51,6 +51,16 @@ class DataSetReader {
return $randomLine; return $randomLine;
} }
public function getNextLine(): array | null {
if (!isset($this->currentLines[0])) {
return null; // No more lines to read
}
$this->lastReadLineIndex = array_search($this->currentLines[0], $this->lines, true);
return array_shift($this->currentLines);
}
public function getInputSize(): int public function getInputSize(): int
{ {
return count($this->lines[0]) - 1; // Don't count the label return count($this->lines[0]) - 1; // Don't count the label

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@@ -0,0 +1,10 @@
<?php
namespace App\Services;
interface IPerceptronIterationEventBuffer {
public function flush(): void ;
public function addIteration(int $iteration, int $exampleIndex, float $error, array $synaptic_weights): void ;
}

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@@ -2,15 +2,11 @@
namespace App\Services; namespace App\Services;
use Illuminate\Support\Facades\Log; class PerceptronIterationEventBuffer implements IPerceptronIterationEventBuffer {
class PerceptronIterationEventBuffer {
private $data; private $data;
private int $nextSizeIncreaseThreshold; private int $nextSizeIncreaseThreshold;
private int $underSizeIncreaseCount = 0; private int $underSizeIncreaseCount = 0;
private int $MAX_SIZE = 50;
public function __construct( public function __construct(
private string $sessionId, private string $sessionId,
private string $trainingId, private string $trainingId,
@@ -26,9 +22,9 @@ class PerceptronIterationEventBuffer {
$this->data = []; $this->data = [];
} }
public function addIteration(int $iteration, int $exampleIndex, float $error, array $synaptic_weights): void { public function addIteration(int $epoch, int $exampleIndex, float $error, array $synaptic_weights): void {
$this->data[] = [ $this->data[] = [
"iteration" => $iteration, "epoch" => $epoch,
"exampleIndex" => $exampleIndex, "exampleIndex" => $exampleIndex,
"error" => $error, "error" => $error,
"weights" => $synaptic_weights, "weights" => $synaptic_weights,
@@ -42,8 +38,8 @@ class PerceptronIterationEventBuffer {
$this->flush(); $this->flush();
$this->nextSizeIncreaseThreshold *= $this->sizeIncreaseFactor; $this->nextSizeIncreaseThreshold *= $this->sizeIncreaseFactor;
if ($this->nextSizeIncreaseThreshold > $this->MAX_SIZE) { if ($this->nextSizeIncreaseThreshold > config('perceptron.broadcast_iteration_size')) {
$this->nextSizeIncreaseThreshold = $this->MAX_SIZE; // Cap the threshold to the maximum size $this->nextSizeIncreaseThreshold = config('perceptron.broadcast_iteration_size'); // Cap the threshold to the maximum size
} }
} }
} }

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@@ -0,0 +1,51 @@
<?php
namespace App\Services;
class PerceptronLimitedEpochEventBuffer implements IPerceptronIterationEventBuffer {
private array $data;
private int $underSizeIncreaseCount = 0;
public function __construct(
private string $sessionId,
private string $trainingId,
private int $epochInterval,
private int $sizeIncreaseStart = 10,
) {
$this->data = [];
}
public function flush(): void {
event(new \App\Events\PerceptronTrainingIteration($this->data, $this->sessionId, $this->trainingId));
$this->data = [];
}
public function addIteration(int $epoch, int $exampleIndex, float $error, array $synaptic_weights): void {
$newData = [
"epoch" => $epoch,
"exampleIndex" => $exampleIndex,
"error" => $error,
"weights" => $synaptic_weights,
];
if ($this->underSizeIncreaseCount <= $this->sizeIncreaseStart) { // Special case where we need to send each iteration separately
$this->underSizeIncreaseCount++;
$this->data[] = $newData;
$this->flush();
return;
}
$lastEpoch = $this->data[0]['epoch'] ?? null;
if ($this->data && $lastEpoch !== $epoch) { // Current Epoch has changed from the last one
if ($lastEpoch % $this->epochInterval === 0) { // The last epoch need to be sent
$this->flush(); // Flush all data from the previous epoch
}
else {
$this->data = [];
}
$lastEpoch = $epoch;
}
$this->data[] = $newData;
}
}

19
config/perceptron.php Normal file
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@@ -0,0 +1,19 @@
<?php
return [
/**
* Minimum number of iterations for which the broadcast of the training progress is allowed in full.
* Beyond this number of iterations, the broadcast will be splitted every x iterations,
* x is limited_broadcast_number
*/
'limited_broadcast_iterations' => 200,
/**
* How much broadcasts is sent when in limmited broadcast mode
*/
'limited_broadcast_number' => 200,
'broadcast_iteration_size' => 75,
];

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@@ -0,0 +1,4 @@
0, 0, -1
0, 1, 1
1, 0, 1
1, 1, 1
1 0 0 -1
2 0 1 1
3 1 0 1
4 1 1 1

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@@ -15,14 +15,29 @@ const allWeightPerIteration: ComputedRef<number[][]> = computed(() => {
return iteration.weights.flat(2); return iteration.weights.flat(2);
}); });
}); });
const rowBgDark = computed(() => {
let isEven = false;
return props.iterations.map((iteration, index, arr) => {
if (index > 0 && arr[index - 1].epoch !== iteration.epoch) {
isEven = !isEven;
}
return isEven;
});
});
</script> </script>
<template> <template>
<table class="table w-full border-collapse border border-gray-300"> <table class="table w-full border-collapse border border-gray-300">
<tr class="text-left" v-if="props.iterations.length > 0"> <tr class="text-left" v-if="props.iterations.length > 0">
<th>Itération</th> <th>Époch</th>
<th>Exemple</th> <th>Exemple</th>
<th v-for="(weight, index) in allWeightPerIteration[allWeightPerIteration.length - 1]" v-bind:key="index"> <th
v-for="(weight, index) in allWeightPerIteration[
allWeightPerIteration.length - 1
]"
v-bind:key="index"
>
X<sub>{{ index }}</sub> X<sub>{{ index }}</sub>
</th> </th>
<th>Erreur</th> <th>Erreur</th>
@@ -31,12 +46,15 @@ const allWeightPerIteration: ComputedRef<number[][]> = computed(() => {
v-for="(iteration, index) in props.iterations" v-for="(iteration, index) in props.iterations"
v-bind:key="index" v-bind:key="index"
:class="{ :class="{
'bg-gray-900': iteration.iteration % 2 === 0, 'bg-gray-900': rowBgDark[index],
}" }"
> >
<td>{{ iteration.iteration }}</td> <td>{{ iteration.epoch }}</td>
<td>{{ iteration.exampleIndex }}</td> <td>{{ iteration.exampleIndex }}</td>
<td v-for="(weight, index) in allWeightPerIteration[index]" v-bind:key="index"> <td
v-for="(weight, index) in allWeightPerIteration[index]"
v-bind:key="index"
>
{{ weight.toFixed(2) }} {{ weight.toFixed(2) }}
</td> </td>
<td>{{ iteration.error.toFixed(2) }}</td> <td>{{ iteration.error.toFixed(2) }}</td>

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@@ -46,7 +46,7 @@ function getPerceptronDecisionBoundaryDataset(
networkWeights[0].length == 1 && networkWeights[0].length == 1 &&
networkWeights[0][0].length == 3 networkWeights[0][0].length == 3
) { // Unique, 3 weights perceptron ) { // Unique, 3 weights perceptron
const perceptronWeights = networkWeights[0][0]; // We take the unique const perceptronWeights = networkWeights[0][0]; // We take the unique perceptron
function perceptronLine(x: number): number { function perceptronLine(x: number): number {
// w0 + w1*x + w2*y = 0 => y = -(w1/w2)*x - w0/w2 // w0 + w1*x + w2*y = 0 => y = -(w1/w2)*x - w0/w2

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@@ -39,8 +39,8 @@ function getPerceptronErrorsPerIteration(): ChartData<
dataset.data.push(iteration.error); dataset.data.push(iteration.error);
// Epoch error // Epoch error
epochAverageError[iteration.iteration - 1] = epochAverageError[iteration.epoch - 1] =
(epochAverageError[iteration.iteration - 1] || 0) + (epochAverageError[iteration.epoch - 1] || 0) +
iteration.error ** 2 / 2; iteration.error ** 2 / 2;
}); });
@@ -81,7 +81,7 @@ function getPerceptronErrorsPerIteration(): ChartData<
plugins: { plugins: {
title: { title: {
display: true, display: true,
text: 'Nombre d\'erreurs par itération', text: 'Nombre d\'erreurs par epoch',
}, },
}, },
scales: { scales: {
@@ -106,8 +106,8 @@ function getPerceptronErrorsPerIteration(): ChartData<
}" }"
:data="{ :data="{
labels: props.iterations.reduce((labels, iteration) => { labels: props.iterations.reduce((labels, iteration) => {
if (!labels.includes(`Itération ${iteration.iteration}`)) { if (!labels.includes(`Époch ${iteration.epoch}`)) {
labels.push(`Itération ${iteration.iteration}`); labels.push(`Époch ${iteration.epoch}`);
} }
return labels; return labels;
}, [] as string[]), }, [] as string[]),

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@@ -47,11 +47,17 @@ watch(selectedDatasetCopy, (newvalue) => {
(dataset) => dataset.label === newvalue (dataset) => dataset.label === newvalue
) || null; ) || null;
let defaultLearningRate = props.defaultLearningRate; // LearningRate
learningRate.value = props.defaultLearningRate;
if (selectedDatasetCopy && selectedDatasetCopy.defaultLearningRate !== undefined) { if (selectedDatasetCopy && selectedDatasetCopy.defaultLearningRate !== undefined) {
defaultLearningRate = selectedDatasetCopy.defaultLearningRate; learningRate.value = selectedDatasetCopy.defaultLearningRate;
} }
learningRate.value = defaultLearningRate; // MinError
minError.value = props.minError;
if (selectedDatasetCopy && selectedDatasetCopy.defaultMinError !== undefined) {
minError.value = selectedDatasetCopy.defaultMinError;
}
// MaxIterations
maxIterations.value = props.defaultMaxIterations; maxIterations.value = props.defaultMaxIterations;
}) })

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@@ -1,44 +0,0 @@
<script setup lang="ts">
import { Head, Link } from '@inertiajs/vue3';
</script>
<template>
<Head title="Welcome">
</Head>
<div
class="flex min-h-screen flex-col items-center bg-[#FDFDFC] p-6 text-[#1b1b18] lg:justify-center lg:p-8 dark:bg-[#0a0a0a]"
>
<header
class="mb-6 w-full max-w-[335px] text-sm not-has-[nav]:hidden lg:max-w-4xl"
>
<nav class="flex items-center justify-end gap-4">
<Link
href="/test"
class="inline-block rounded-sm border border-[#19140035] px-5 py-1.5 text-sm leading-normal text-[#1b1b18] hover:border-[#1915014a] dark:border-[#3E3E3A] dark:text-[#EDEDEC] dark:hover:border-[#62605b]"
view-transition
>
Test
</Link>
<Link
href="/perceptron"
class="inline-block rounded-sm border border-[#19140035] px-5 py-1.5 text-sm leading-normal text-[#1b1b18] hover:border-[#1915014a] dark:border-[#3E3E3A] dark:text-[#EDEDEC] dark:hover:border-[#62605b]"
:data="{type: 'simple'}"
view-transition
>
Perceptron Simple
</Link>
</nav>
</header>
<div
class="flex w-full items-center justify-center opacity-100 transition-opacity duration-750 lg:grow starting:opacity-0"
>
<main
class="flex w-full max-w-[335px] flex-col-reverse overflow-hidden rounded-lg lg:max-w-4xl lg:flex-row"
>
</main>
</div>
</div>
</template>

View File

@@ -1,11 +0,0 @@
<script setup lang="ts">
import { Head, Link } from '@inertiajs/vue3';
</script>
<template>
<p>
I'm you father
</p>
</template>

View File

@@ -1,7 +1,5 @@
import type { Point } from "chart.js";
export type Iteration = { export type Iteration = {
iteration: number; epoch: number;
exampleIndex: number; exampleIndex: number;
weights: number[][][]; weights: number[][][];
error: number; error: number;
@@ -10,7 +8,8 @@ export type Iteration = {
export type Dataset = { export type Dataset = {
label: string; label: string;
data: DatasetPoint[]; data: DatasetPoint[];
defaultLearningRate: number | undefined; defaultLearningRate?: number;
defaultMinError?: number;
}; };
export type DatasetPoint = { export type DatasetPoint = {

View File

@@ -4,9 +4,7 @@ use App\Http\Controllers\PerceptronController;
use Illuminate\Support\Facades\Broadcast; use Illuminate\Support\Facades\Broadcast;
use Illuminate\Support\Facades\Route; use Illuminate\Support\Facades\Route;
Route::inertia('/', 'Home')->name('home'); Route::redirect('/', '/perceptron?type=simple')->name('home');
Route::inertia('/test', 'Test')->name('test');
Route::resource('perceptron', PerceptronController::class)->only(['index']); Route::resource('perceptron', PerceptronController::class)->only(['index']);

View File

@@ -1,99 +0,0 @@
<?php
namespace Tests\Feature\Auth;
use App\Models\User;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Illuminate\Support\Facades\RateLimiter;
use Laravel\Fortify\Features;
use Tests\TestCase;
class AuthenticationTest extends TestCase
{
use RefreshDatabase;
public function test_login_screen_can_be_rendered()
{
$response = $this->get(route('login'));
$response->assertOk();
}
public function test_users_can_authenticate_using_the_login_screen()
{
$user = User::factory()->create();
$response = $this->post(route('login.store'), [
'email' => $user->email,
'password' => 'password',
]);
$this->assertAuthenticated();
$response->assertRedirect(route('dashboard', absolute: false));
}
public function test_users_with_two_factor_enabled_are_redirected_to_two_factor_challenge()
{
if (! Features::canManageTwoFactorAuthentication()) {
$this->markTestSkipped('Two-factor authentication is not enabled.');
}
Features::twoFactorAuthentication([
'confirm' => true,
'confirmPassword' => true,
]);
$user = User::factory()->create();
$user->forceFill([
'two_factor_secret' => encrypt('test-secret'),
'two_factor_recovery_codes' => encrypt(json_encode(['code1', 'code2'])),
'two_factor_confirmed_at' => now(),
])->save();
$response = $this->post(route('login'), [
'email' => $user->email,
'password' => 'password',
]);
$response->assertRedirect(route('two-factor.login'));
$response->assertSessionHas('login.id', $user->id);
$this->assertGuest();
}
public function test_users_can_not_authenticate_with_invalid_password()
{
$user = User::factory()->create();
$this->post(route('login.store'), [
'email' => $user->email,
'password' => 'wrong-password',
]);
$this->assertGuest();
}
public function test_users_can_logout()
{
$user = User::factory()->create();
$response = $this->actingAs($user)->post(route('logout'));
$this->assertGuest();
$response->assertRedirect(route('home'));
}
public function test_users_are_rate_limited()
{
$user = User::factory()->create();
RateLimiter::increment(md5('login'.implode('|', [$user->email, '127.0.0.1'])), amount: 5);
$response = $this->post(route('login.store'), [
'email' => $user->email,
'password' => 'wrong-password',
]);
$response->assertTooManyRequests();
}
}

View File

@@ -1,110 +0,0 @@
<?php
namespace Tests\Feature\Auth;
use App\Models\User;
use Illuminate\Auth\Events\Verified;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Illuminate\Support\Facades\Event;
use Illuminate\Support\Facades\URL;
use Tests\TestCase;
class EmailVerificationTest extends TestCase
{
use RefreshDatabase;
public function test_email_verification_screen_can_be_rendered()
{
$user = User::factory()->unverified()->create();
$response = $this->actingAs($user)->get(route('verification.notice'));
$response->assertOk();
}
public function test_email_can_be_verified()
{
$user = User::factory()->unverified()->create();
Event::fake();
$verificationUrl = URL::temporarySignedRoute(
'verification.verify',
now()->addMinutes(60),
['id' => $user->id, 'hash' => sha1($user->email)],
);
$response = $this->actingAs($user)->get($verificationUrl);
Event::assertDispatched(Verified::class);
$this->assertTrue($user->fresh()->hasVerifiedEmail());
$response->assertRedirect(route('dashboard', absolute: false).'?verified=1');
}
public function test_email_is_not_verified_with_invalid_hash()
{
$user = User::factory()->unverified()->create();
Event::fake();
$verificationUrl = URL::temporarySignedRoute(
'verification.verify',
now()->addMinutes(60),
['id' => $user->id, 'hash' => sha1('wrong-email')],
);
$this->actingAs($user)->get($verificationUrl);
Event::assertNotDispatched(Verified::class);
$this->assertFalse($user->fresh()->hasVerifiedEmail());
}
public function test_email_is_not_verified_with_invalid_user_id(): void
{
$user = User::factory()->unverified()->create();
Event::fake();
$verificationUrl = URL::temporarySignedRoute(
'verification.verify',
now()->addMinutes(60),
['id' => 123, 'hash' => sha1($user->email)],
);
$this->actingAs($user)->get($verificationUrl);
Event::assertNotDispatched(Verified::class);
$this->assertFalse($user->fresh()->hasVerifiedEmail());
}
public function test_verified_user_is_redirected_to_dashboard_from_verification_prompt(): void
{
$user = User::factory()->create();
Event::fake();
$response = $this->actingAs($user)->get(route('verification.notice'));
Event::assertNotDispatched(Verified::class);
$response->assertRedirect(route('dashboard', absolute: false));
}
public function test_already_verified_user_visiting_verification_link_is_redirected_without_firing_event_again(): void
{
$user = User::factory()->create();
Event::fake();
$verificationUrl = URL::temporarySignedRoute(
'verification.verify',
now()->addMinutes(60),
['id' => $user->id, 'hash' => sha1($user->email)],
);
$this->actingAs($user)->get($verificationUrl)
->assertRedirect(route('dashboard', absolute: false).'?verified=1');
Event::assertNotDispatched(Verified::class);
$this->assertTrue($user->fresh()->hasVerifiedEmail());
}
}

View File

@@ -1,33 +0,0 @@
<?php
namespace Tests\Feature\Auth;
use App\Models\User;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Inertia\Testing\AssertableInertia as Assert;
use Tests\TestCase;
class PasswordConfirmationTest extends TestCase
{
use RefreshDatabase;
public function test_confirm_password_screen_can_be_rendered()
{
$user = User::factory()->create();
$response = $this->actingAs($user)->get(route('password.confirm'));
$response->assertOk();
$response->assertInertia(fn (Assert $page) => $page
->component('auth/ConfirmPassword'),
);
}
public function test_password_confirmation_requires_authentication()
{
$response = $this->get(route('password.confirm'));
$response->assertRedirect(route('login'));
}
}

View File

@@ -1,87 +0,0 @@
<?php
namespace Tests\Feature\Auth;
use App\Models\User;
use Illuminate\Auth\Notifications\ResetPassword;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Illuminate\Support\Facades\Notification;
use Tests\TestCase;
class PasswordResetTest extends TestCase
{
use RefreshDatabase;
public function test_reset_password_link_screen_can_be_rendered()
{
$response = $this->get(route('password.request'));
$response->assertOk();
}
public function test_reset_password_link_can_be_requested()
{
Notification::fake();
$user = User::factory()->create();
$this->post(route('password.email'), ['email' => $user->email]);
Notification::assertSentTo($user, ResetPassword::class);
}
public function test_reset_password_screen_can_be_rendered()
{
Notification::fake();
$user = User::factory()->create();
$this->post(route('password.email'), ['email' => $user->email]);
Notification::assertSentTo($user, ResetPassword::class, function ($notification) {
$response = $this->get(route('password.reset', $notification->token));
$response->assertOk();
return true;
});
}
public function test_password_can_be_reset_with_valid_token()
{
Notification::fake();
$user = User::factory()->create();
$this->post(route('password.email'), ['email' => $user->email]);
Notification::assertSentTo($user, ResetPassword::class, function ($notification) use ($user) {
$response = $this->post(route('password.update'), [
'token' => $notification->token,
'email' => $user->email,
'password' => 'password',
'password_confirmation' => 'password',
]);
$response
->assertSessionHasNoErrors()
->assertRedirect(route('login'));
return true;
});
}
public function test_password_cannot_be_reset_with_invalid_token(): void
{
$user = User::factory()->create();
$response = $this->post(route('password.update'), [
'token' => 'invalid-token',
'email' => $user->email,
'password' => 'newpassword123',
'password_confirmation' => 'newpassword123',
]);
$response->assertSessionHasErrors('email');
}
}

View File

@@ -1,31 +0,0 @@
<?php
namespace Tests\Feature\Auth;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Tests\TestCase;
class RegistrationTest extends TestCase
{
use RefreshDatabase;
public function test_registration_screen_can_be_rendered()
{
$response = $this->get(route('register'));
$response->assertOk();
}
public function test_new_users_can_register()
{
$response = $this->post(route('register.store'), [
'name' => 'Test User',
'email' => 'test@example.com',
'password' => 'password',
'password_confirmation' => 'password',
]);
$this->assertAuthenticated();
$response->assertRedirect(route('dashboard', absolute: false));
}
}

View File

@@ -1,56 +0,0 @@
<?php
namespace Tests\Feature\Auth;
use App\Models\User;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Inertia\Testing\AssertableInertia as Assert;
use Laravel\Fortify\Features;
use Tests\TestCase;
class TwoFactorChallengeTest extends TestCase
{
use RefreshDatabase;
public function test_two_factor_challenge_redirects_to_login_when_not_authenticated(): void
{
if (! Features::canManageTwoFactorAuthentication()) {
$this->markTestSkipped('Two-factor authentication is not enabled.');
}
$response = $this->get(route('two-factor.login'));
$response->assertRedirect(route('login'));
}
public function test_two_factor_challenge_can_be_rendered(): void
{
if (! Features::canManageTwoFactorAuthentication()) {
$this->markTestSkipped('Two-factor authentication is not enabled.');
}
Features::twoFactorAuthentication([
'confirm' => true,
'confirmPassword' => true,
]);
$user = User::factory()->create();
$user->forceFill([
'two_factor_secret' => encrypt('test-secret'),
'two_factor_recovery_codes' => encrypt(json_encode(['code1', 'code2'])),
'two_factor_confirmed_at' => now(),
])->save();
$this->post(route('login'), [
'email' => $user->email,
'password' => 'password',
]);
$this->get(route('two-factor.login'))
->assertOk()
->assertInertia(fn (Assert $page) => $page
->component('auth/TwoFactorChallenge'),
);
}
}

View File

@@ -1,40 +0,0 @@
<?php
namespace Tests\Feature\Auth;
use App\Models\User;
use Illuminate\Auth\Notifications\VerifyEmail;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Illuminate\Support\Facades\Notification;
use Tests\TestCase;
class VerificationNotificationTest extends TestCase
{
use RefreshDatabase;
public function test_sends_verification_notification(): void
{
Notification::fake();
$user = User::factory()->unverified()->create();
$this->actingAs($user)
->post(route('verification.send'))
->assertRedirect(route('home'));
Notification::assertSentTo($user, VerifyEmail::class);
}
public function test_does_not_send_verification_notification_if_email_is_verified(): void
{
Notification::fake();
$user = User::factory()->create();
$this->actingAs($user)
->post(route('verification.send'))
->assertRedirect(route('dashboard', absolute: false));
Notification::assertNothingSent();
}
}

View File

@@ -1,27 +0,0 @@
<?php
namespace Tests\Feature;
use App\Models\User;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Tests\TestCase;
class DashboardTest extends TestCase
{
use RefreshDatabase;
public function test_guests_are_redirected_to_the_login_page()
{
$response = $this->get(route('dashboard'));
$response->assertRedirect(route('login'));
}
public function test_authenticated_users_can_visit_the_dashboard()
{
$user = User::factory()->create();
$this->actingAs($user);
$response = $this->get(route('dashboard'));
$response->assertOk();
}
}

View File

@@ -1,62 +0,0 @@
<?php
namespace Tests\Feature\Settings;
use App\Models\User;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Illuminate\Support\Facades\Hash;
use Tests\TestCase;
class PasswordUpdateTest extends TestCase
{
use RefreshDatabase;
public function test_password_update_page_is_displayed()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->get(route('user-password.edit'));
$response->assertOk();
}
public function test_password_can_be_updated()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->from(route('user-password.edit'))
->put(route('user-password.update'), [
'current_password' => 'password',
'password' => 'new-password',
'password_confirmation' => 'new-password',
]);
$response
->assertSessionHasNoErrors()
->assertRedirect(route('user-password.edit'));
$this->assertTrue(Hash::check('new-password', $user->refresh()->password));
}
public function test_correct_password_must_be_provided_to_update_password()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->from(route('user-password.edit'))
->put(route('user-password.update'), [
'current_password' => 'wrong-password',
'password' => 'new-password',
'password_confirmation' => 'new-password',
]);
$response
->assertSessionHasErrors('current_password')
->assertRedirect(route('user-password.edit'));
}
}

View File

@@ -1,99 +0,0 @@
<?php
namespace Tests\Feature\Settings;
use App\Models\User;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Tests\TestCase;
class ProfileUpdateTest extends TestCase
{
use RefreshDatabase;
public function test_profile_page_is_displayed()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->get(route('profile.edit'));
$response->assertOk();
}
public function test_profile_information_can_be_updated()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->patch(route('profile.update'), [
'name' => 'Test User',
'email' => 'test@example.com',
]);
$response
->assertSessionHasNoErrors()
->assertRedirect(route('profile.edit'));
$user->refresh();
$this->assertSame('Test User', $user->name);
$this->assertSame('test@example.com', $user->email);
$this->assertNull($user->email_verified_at);
}
public function test_email_verification_status_is_unchanged_when_the_email_address_is_unchanged()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->patch(route('profile.update'), [
'name' => 'Test User',
'email' => $user->email,
]);
$response
->assertSessionHasNoErrors()
->assertRedirect(route('profile.edit'));
$this->assertNotNull($user->refresh()->email_verified_at);
}
public function test_user_can_delete_their_account()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->delete(route('profile.destroy'), [
'password' => 'password',
]);
$response
->assertSessionHasNoErrors()
->assertRedirect(route('home'));
$this->assertGuest();
$this->assertNull($user->fresh());
}
public function test_correct_password_must_be_provided_to_delete_account()
{
$user = User::factory()->create();
$response = $this
->actingAs($user)
->from(route('profile.edit'))
->delete(route('profile.destroy'), [
'password' => 'wrong-password',
]);
$response
->assertSessionHasErrors('password')
->assertRedirect(route('profile.edit'));
$this->assertNotNull($user->fresh());
}
}

View File

@@ -1,92 +0,0 @@
<?php
namespace Tests\Feature\Settings;
use App\Models\User;
use Illuminate\Foundation\Testing\RefreshDatabase;
use Inertia\Testing\AssertableInertia as Assert;
use Laravel\Fortify\Features;
use Tests\TestCase;
class TwoFactorAuthenticationTest extends TestCase
{
use RefreshDatabase;
public function test_two_factor_settings_page_can_be_rendered()
{
if (! Features::canManageTwoFactorAuthentication()) {
$this->markTestSkipped('Two-factor authentication is not enabled.');
}
Features::twoFactorAuthentication([
'confirm' => true,
'confirmPassword' => true,
]);
$user = User::factory()->create();
$this->actingAs($user)
->withSession(['auth.password_confirmed_at' => time()])
->get(route('two-factor.show'))
->assertInertia(fn (Assert $page) => $page
->component('settings/TwoFactor')
->where('twoFactorEnabled', false),
);
}
public function test_two_factor_settings_page_requires_password_confirmation_when_enabled()
{
if (! Features::canManageTwoFactorAuthentication()) {
$this->markTestSkipped('Two-factor authentication is not enabled.');
}
$user = User::factory()->create();
Features::twoFactorAuthentication([
'confirm' => true,
'confirmPassword' => true,
]);
$response = $this->actingAs($user)
->get(route('two-factor.show'));
$response->assertRedirect(route('password.confirm'));
}
public function test_two_factor_settings_page_does_not_requires_password_confirmation_when_disabled()
{
if (! Features::canManageTwoFactorAuthentication()) {
$this->markTestSkipped('Two-factor authentication is not enabled.');
}
$user = User::factory()->create();
Features::twoFactorAuthentication([
'confirm' => true,
'confirmPassword' => false,
]);
$this->actingAs($user)
->get(route('two-factor.show'))
->assertOk()
->assertInertia(fn (Assert $page) => $page
->component('settings/TwoFactor'),
);
}
public function test_two_factor_settings_page_returns_forbidden_response_when_two_factor_is_disabled()
{
if (! Features::canManageTwoFactorAuthentication()) {
$this->markTestSkipped('Two-factor authentication is not enabled.');
}
config(['fortify.features' => []]);
$user = User::factory()->create();
$this->actingAs($user)
->withSession(['auth.password_confirmed_at' => time()])
->get(route('two-factor.show'))
->assertForbidden();
}
}