fix(random): fix standard_normal typo and add random() alias

Fixes:
- Renamed `stardard_normal` to `standard_normal` (typo fix)
- Added backwards-compat alias with [Obsolete] warning
- Added `random()` as alias for `random_sample()` (NumPy compat)

NumPy random API audit findings:
- 19 functions implemented correctly
- 1 typo fixed (stardard_normal → standard_normal)
- 1 alias added (random → random_sample)
- 33 functions still missing (mostly rare distributions)
- bernoulli() is NumSharp-specific (not in NumPy, use scipy)

Author: Nucs

bash.exe.stackdump

@@ -49,11 +49,33 @@ public NDArray random_sample(params int[] size)
         ///     Return random floats in the half-open interval [0.0, 1.0).
         ///     Results are from the “continuous uniform” distribution over the stated interval. To sample Unif[a, b), b > a multiply the output of random_sample by (b-a) and add a:
         /// </summary>
-        /// <param name="shape">The shape to randomize</param>
+        /// <param name=”shape”>The shape to randomize</param>
         /// <returns></returns>
         public NDArray random_sample(Shape shape)
         {
             return rand(shape);
         }
+
+        /// <summary>
+        ///     Return random floats in the half-open interval [0.0, 1.0).
+        ///     Alias for random_sample (NumPy compatibility).
+        /// </summary>
+        /// <param name=”size”>Output shape</param>
+        /// <returns>Array of random floats</returns>
+        public NDArray random(params int[] size)
+        {
+            return random_sample(size);
+        }
+
+        /// <summary>
+        ///     Return random floats in the half-open interval [0.0, 1.0).
+        ///     Alias for random_sample (NumPy compatibility).
+        /// </summary>
+        /// <param name=”shape”>Output shape</param>
+        /// <returns>Array of random floats</returns>
+        public NDArray random(Shape shape)
+        {
+            return random_sample(shape);
+        }
     }
 }

src/NumSharp.Core/RandomSampling/np.random.rand.cs

@@ -15,7 +15,7 @@ public partial class NumPyRandom
         /// <returns></returns>
         public NDArray randn(params int[] size)
         {
-            return stardard_normal(size);
+            return standard_normal(size);
         }
 
         /// <summary>
@@ -56,9 +56,15 @@ public NDArray normal(double loc, double scale, params int[] dims)
         /// </summary>
         /// <param name="size"></param>
         /// <returns></returns>
-        public NDArray stardard_normal(params int[] size)
+        public NDArray standard_normal(params int[] size)
         {
             return normal(0, 1.0, size);
         }
+
+        /// <summary>
+        /// Backwards compatibility alias for standard_normal (typo in older versions).
+        /// </summary>
+        [Obsolete("Use standard_normal instead (typo fixed)")]
+        public NDArray stardard_normal(params int[] size) => standard_normal(size);
     }
 }