[numpy] Replace np.reshape(x, newshape=y) with np.reshape(x, y).

The `newshape` argument to reshape is removed in NumPy 2.4.

PiperOrigin-RevId: 840710218

Author: hawkinsp

tensorflow_probability/python/bijectors/pad.py

@@ -140,7 +140,7 @@ def __init__(self,
       self._constant_values = tensor_util.convert_nonref_to_tensor(
           constant_values, dtype_hint=tf.float32, name='constant_values')
       min_event_ndims_ = int(-np.min(np.pad(
-          np.reshape(axis_, newshape=[-1]),
+          np.reshape(axis_, [-1]),
           mode='constant', pad_width=[[0, 1]])))
       super(Pad, self).__init__(
           forward_min_event_ndims=min_event_ndims_,

tensorflow_probability/python/internal/empirical_statistical_testing.py

@@ -217,7 +217,7 @@ def _bootstrap_means(samples, mean_size, fuel):
   if num_bootstraps * mean_size <= len(samples):
     # Inputs are huge relative to fuel; fake a bootstrap by just slicing
     # the input array
-    return np.mean(np.reshape(samples, newshape=(-1, mean_size)), axis=-1)
+    return np.mean(np.reshape(samples, (-1, mean_size)), axis=-1)
   # Compute this in batches to never materialize an over-large
   # intermediate array.
   n_batches = 10