Fix namespacing

andrewdalpino · andrewdalpino · commit 5c8c45a0140a · 2026-07-06T16:11:01.000-05:00
diff --git a/tests/NeuralNet/ActivationFunctions/ELUTest.php b/tests/NeuralNet/ActivationFunctions/ELUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\ELU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/GELUTest.php b/tests/NeuralNet/ActivationFunctions/GELUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\GELU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/HardSiLUTest.php b/tests/NeuralNet/ActivationFunctions/HardSiLUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\HardSiLU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/HardSigmoidTest.php b/tests/NeuralNet/ActivationFunctions/HardSigmoidTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\HardSigmoid;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/HyperbolicTangentTest.php b/tests/NeuralNet/ActivationFunctions/HyperbolicTangentTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\HyperbolicTangent;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NumPower;
diff --git a/tests/NeuralNet/ActivationFunctions/LeakyReLUTest.php b/tests/NeuralNet/ActivationFunctions/LeakyReLUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\LeakyReLU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/ReLU6Test.php b/tests/NeuralNet/ActivationFunctions/ReLU6Test.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\ReLU6;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/ReLUTest.php b/tests/NeuralNet/ActivationFunctions/ReLUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\ReLU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/SELUTest.php b/tests/NeuralNet/ActivationFunctions/SELUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\SELU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/SiLUTest.php b/tests/NeuralNet/ActivationFunctions/SiLUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\SiLU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/SigmoidTest.php b/tests/NeuralNet/ActivationFunctions/SigmoidTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\Sigmoid;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/SoftmaxTest.php b/tests/NeuralNet/ActivationFunctions/SoftmaxTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\Softmax;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/SoftplusTest.php b/tests/NeuralNet/ActivationFunctions/SoftplusTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\Softplus;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/SoftsignTest.php b/tests/NeuralNet/ActivationFunctions/SoftsignTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\Softsign;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/ActivationFunctions/ThresholdedReLUTest.php b/tests/NeuralNet/ActivationFunctions/ThresholdedReLUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions\ThresholdedReLU;
+namespace Rubix\ML\Tests\NeuralNet\ActivationFunctions;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/CostFunctions/CrossEntropyTest.php b/tests/NeuralNet/CostFunctions/CrossEntropyTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\CostFunctions\CrossEntropy;
+namespace Rubix\ML\Tests\NeuralNet\CostFunctions;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/CostFunctions/HuberLossTest.php b/tests/NeuralNet/CostFunctions/HuberLossTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\CostFunctions\HuberLoss;
+namespace Rubix\ML\Tests\NeuralNet\CostFunctions;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/CostFunctions/LeastSquaresTest.php b/tests/NeuralNet/CostFunctions/LeastSquaresTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\CostFunctions\LeastSquares;
+namespace Rubix\ML\Tests\NeuralNet\CostFunctions;
 
 use InvalidArgumentException;
 use PHPUnit\Framework\Attributes\CoversClass;
diff --git a/tests/NeuralNet/CostFunctions/MeanAbsoluteErrorTest.php b/tests/NeuralNet/CostFunctions/MeanAbsoluteErrorTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\CostFunctions\MeanAbsoluteError;
+namespace Rubix\ML\Tests\NeuralNet\CostFunctions;
 
 use InvalidArgumentException;
 use PHPUnit\Framework\Attributes\CoversClass;
diff --git a/tests/NeuralNet/CostFunctions/RelativeEntropyTest.php b/tests/NeuralNet/CostFunctions/RelativeEntropyTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\CostFunctions\RelativeEntropy;
+namespace Rubix\ML\Tests\NeuralNet\CostFunctions;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/FeedForwardTest.php b/tests/NeuralNet/FeedForwardTest.php
@@ -1,6 +1,6 @@
 <?php
 
-namespace Rubix\ML\Tests\NeuralNet\FeedForwards;
+namespace Rubix\ML\Tests\NeuralNet;
 
 use PHPUnit\Framework\Attributes\Before;
 use PHPUnit\Framework\Attributes\CoversClass;
diff --git a/tests/NeuralNet/Initializers/ConstantTest.php b/tests/NeuralNet/Initializers/ConstantTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\Constant;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/HeNormalTest.php b/tests/NeuralNet/Initializers/HeNormalTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\He;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/HeUniformTest.php b/tests/NeuralNet/Initializers/HeUniformTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\He;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/LeCunNormalTest.php b/tests/NeuralNet/Initializers/LeCunNormalTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\LeCun;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/LeCunUniformTest.php b/tests/NeuralNet/Initializers/LeCunUniformTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\LeCun;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/NormalTest.php b/tests/NeuralNet/Initializers/NormalTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\Normal;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/TruncatedNormalTest.php b/tests/NeuralNet/Initializers/TruncatedNormalTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\Normal;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/UniformTest.php b/tests/NeuralNet/Initializers/UniformTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\Uniform;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/XavierNormalTest.php b/tests/NeuralNet/Initializers/XavierNormalTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\Xavier;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Initializers/XavierUniformTest.php b/tests/NeuralNet/Initializers/XavierUniformTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Initializers\Xavier;
+namespace Rubix\ML\Tests\NeuralNet\Initializers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Layers/ActivationTest.php b/tests/NeuralNet/Layers/ActivationTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Activation;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\Group;
diff --git a/tests/NeuralNet/Layers/BatchNormTest.php b/tests/NeuralNet/Layers/BatchNormTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\BatchNorm;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\Group;
diff --git a/tests/NeuralNet/Layers/BinaryTest.php b/tests/NeuralNet/Layers/BinaryTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Binary;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\Group;
diff --git a/tests/NeuralNet/Layers/ContinuousTest.php b/tests/NeuralNet/Layers/ContinuousTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Continuous;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\Group;
diff --git a/tests/NeuralNet/Layers/DenseTest.php b/tests/NeuralNet/Layers/DenseTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Dense;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use NDArray;
 use NumPower;
diff --git a/tests/NeuralNet/Layers/DropoutTest.php b/tests/NeuralNet/Layers/DropoutTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Dropout;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use NDArray;
 use NumPower;
diff --git a/tests/NeuralNet/Layers/MulticlassTest.php b/tests/NeuralNet/Layers/MulticlassTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Multiclass;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use NDArray;
 use NumPower;
diff --git a/tests/NeuralNet/Layers/NoiseTest.php b/tests/NeuralNet/Layers/NoiseTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Noise;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use NDArray;
 use NumPower;
diff --git a/tests/NeuralNet/Layers/PReLUTest.php b/tests/NeuralNet/Layers/PReLUTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\PReLU;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use NDArray;
 use NumPower;
diff --git a/tests/NeuralNet/Layers/Placeholder1DTest.php b/tests/NeuralNet/Layers/Placeholder1DTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Placeholder1D;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\DataProvider;
diff --git a/tests/NeuralNet/Layers/SwishTest.php b/tests/NeuralNet/Layers/SwishTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Layers\Swish;
+namespace Rubix\ML\Tests\NeuralNet\Layers;
 
 use NDArray;
 use NumPower;
diff --git a/tests/NeuralNet/NetworkTest.php b/tests/NeuralNet/NetworkTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types=1);
 
-namespace Rubix\ML\Tests\NeuralNet\Networks;
+namespace Rubix\ML\Tests\NeuralNet;
 
 use PHPUnit\Framework\Attributes\CoversClass;
 use PHPUnit\Framework\Attributes\Group;
diff --git a/tests/NeuralNet/Optimizers/AdaGradTest.php b/tests/NeuralNet/Optimizers/AdaGradTest.php
@@ -2,7 +2,7 @@
 
 declare(strict_types = 1);
 
-namespace Rubix\ML\Tests\NeuralNet\Optimizers\AdaGrad;
+namespace Rubix\ML\Tests\NeuralNet\Optimizers;
 
 use Generator;
 use NDArray;
diff --git a/tests/NeuralNet/Optimizers/AdaMaxTest.php b/tests/NeuralNet/Optimizers/AdaMaxTest.php
diff --git a/tests/NeuralNet/Optimizers/AdamTest.php b/tests/NeuralNet/Optimizers/AdamTest.php
diff --git a/tests/NeuralNet/Optimizers/CyclicalTest.php b/tests/NeuralNet/Optimizers/CyclicalTest.php
diff --git a/tests/NeuralNet/Optimizers/MomentumTest.php b/tests/NeuralNet/Optimizers/MomentumTest.php
diff --git a/tests/NeuralNet/Optimizers/RMSPropTest.php b/tests/NeuralNet/Optimizers/RMSPropTest.php
diff --git a/tests/NeuralNet/Optimizers/StepDecayTest.php b/tests/NeuralNet/Optimizers/StepDecayTest.php
diff --git a/tests/NeuralNet/Optimizers/StochasticTest.php b/tests/NeuralNet/Optimizers/StochasticTest.php
diff --git a/tests/NeuralNet/ParameterTest.php b/tests/NeuralNet/ParameterTest.php
diff --git a/tests/NeuralNet/SnapshotTest.php b/tests/NeuralNet/SnapshotTest.php
