Fix linting

app/Models/NetworksTraining/SimpleBinaryPerceptronTraining.php

@@ -13,6 +13,7 @@ use App\Services\SynapticWeightsProvider\ISynapticWeightsProvider;
 class SimpleBinaryPerceptronTraining extends NetworkTraining
 {
     private Perceptron $perceptron;
+
     private int $iterationErrorCounter = 0;
 
     public ActivationsFunctions $activationFunction = ActivationsFunctions::STEP;
@@ -51,7 +52,7 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
                 $this->addIterationToBuffer($error, [[$this->perceptron->getSynapticWeights()]]);
             }
             $this->datasetReader->reset(); // Reset the dataset for the next iteration
-        } while ($this->epoch < $this->maxEpochs && !$this->stopCondition());
+        } while ($this->epoch < $this->maxEpochs && ! $this->stopCondition());
 
         $this->iterationEventBuffer->flush(); // Ensure all iterations are sent to the frontend
 
@@ -64,6 +65,7 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
         if ($condition === true) {
             event(new PerceptronTrainingEnded('Le perceptron ne commet plus d\'erreurs sur aucune des données', $this->sessionId, $this->trainingId));
         }
+
         return $this->iterationErrorCounter == 0;
     }
 
@@ -79,9 +81,10 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
         if ($error !== 0) { // Update synaptic weights if needed
             $synaptic_weights = $this->perceptron->getSynapticWeights();
             $inputs_with_bias = array_merge([1], $inputs); // Add bias input
-            $new_weights = array_map(fn($weight, $input) => $weight + $this->learningRate * $error * $input, $synaptic_weights, $inputs_with_bias);
+            $new_weights = array_map(fn ($weight, $input) => $weight + $this->learningRate * $error * $input, $synaptic_weights, $inputs_with_bias);
             $this->perceptron->setSynapticWeights($new_weights);
         }
+
         return $error;
     }