numpy correlate/convolve mode keywords changed

Author: fs446

tf_conv1D_vs_corr_conv.ipynb

@@ -138,8 +138,8 @@
     "res = np.array(res)\n",
     "# thus check with np.correlate\n",
     "print(\"  \", res)\n",
-    "print(\"  \", np.correlate(x, h, \"SAME\"))\n",
-    "print(np.correlate(x, h, \"FULL\"))"
+    "print(\"  \", np.correlate(x, h, mode=\"same\"))\n",
+    "print(np.correlate(x, h, mode=\"full\"))"
    ]
   },
   {
@@ -168,8 +168,8 @@
     "# thus check with np.convolve\n",
     "print(\"  \", res)\n",
     "print(\"  \", np.array(tf.squeeze(tf.nn.convolution(data, kernel, 1, \"SAME\"))))\n",
-    "print(\"  \", np.convolve(x, h, mode=\"SAME\"))\n",
-    "print(np.convolve(x, h, mode=\"FULL\"))"
+    "print(\"  \", np.convolve(x, h, mode=\"same\"))\n",
+    "print(np.convolve(x, h, mode=\"full\"))"
    ]
   },
   {
@@ -220,8 +220,8 @@
     "res = np.array(res)\n",
     "# thus check with np.correlate\n",
     "print(\"       \", res)\n",
-    "print(\"       \", np.correlate(x, h, \"VALID\"))\n",
-    "print(np.correlate(x, h, \"FULL\"))"
+    "print(\"       \", np.correlate(x, h, mode=\"valid\"))\n",
+    "print(np.correlate(x, h, mode=\"full\"))"
    ]
   },
   {
@@ -249,8 +249,8 @@
     "res = np.array(res)\n",
     "# thus check with np.convolve\n",
     "print(\"     \", res)\n",
-    "print(\"     \", np.convolve(x, h, mode=\"VALID\"))\n",
-    "print(np.convolve(x, h, mode=\"FULL\"))"
+    "print(\"     \", np.convolve(x, h, mode=\"valid\"))\n",
+    "print(np.convolve(x, h, mode=\"full\"))"
    ]
   },
   {
@@ -282,9 +282,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "myddasp",
+   "display_name": "data-driven-audio-signal-processing-exercise",
    "language": "python",
-   "name": "myddasp"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -296,7 +296,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,