Replacing product by prod

Signed-off-by: João Lucas de Sousa Almeida <[email protected]>

examples/Conv2D/scripts/mnist_increase_resolution.py

@@ -65,8 +65,8 @@ def normalize(data_train, data_test):
 grid_x_new, grid_y_new = np.mgrid[0:1:56j, 0:1:56j]
 
 points = np.hstack([grid_x.flatten()[:, None], grid_y.flatten()[:, None]])
-values_train = x_train.reshape(-1, np.product(dims[:]))
-values_test = x_test.reshape(-1, np.product(dims[:]))
+values_train = x_train.reshape(-1, np.prod(dims[:]))
+values_test = x_test.reshape(-1, np.prod(dims[:]))
 
 if not os.path.isfile(path_new):
     interpolated_train_list = list()

simulai/metrics.py

@@ -967,7 +967,7 @@ def __call__(
 
             if data_preparer is None:
                 data_ = data.view(float)
-                data_flatten = data_.reshape(-1, np.product(data_.shape[1:]))
+                data_flatten = data_.reshape(-1, np.prod(data_.shape[1:]))
             else:
                 data_flatten = data_preparer.prepare_input_structured_data(data)
 

simulai/rom/_rom.py

@@ -800,7 +800,7 @@ def __init__(self, config=None):
         self.A_tilde = None
         self.initial_state = None
 
-    """The method fit from DMD receives an array with shape (nt, np.product(*dims))
+    """The method fit from DMD receives an array with shape (nt, np.prod(*dims))
        and constructs a model for estimating the state nt+1
     """
 

tests/preprocessing/test_mapvalid.py

@@ -37,7 +37,7 @@ def data_gen(self, size=None, valid_percent=0.10, mask=None):
 
         n_samples = size[0]
 
-        n_tot = np.product(size[1:])
+        n_tot = np.prod(size[1:])
 
         n_valid = int(valid_percent * n_tot)