tests: notebook: ncols

tests_notebook.ipynb

@@ -16,7 +16,6 @@
    "outputs": [],
    "source": [
     "from functools import partial\n",
-    "from time import sleep\n",
     "\n",
     "from tqdm.notebook import tqdm_notebook\n",
     "from tqdm.notebook import tnrange\n",
@@ -97,20 +96,69 @@
       "8\n",
       "9\n"
      ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e29668be41ca4e40b16fb98572b333a5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/10 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "for i in tqdm_notebook(range(10)):\n",
-    "    sleep(0.01)\n",
-    "    print(i)"
+    "with tqdm_notebook(range(10)) as t:\n",
+    "    for i in t:\n",
+    "        print(i)\n",
+    "\n",
+    "t = tqdm_notebook(total=10)\n",
+    "t.update()\n",
+    "t.refresh()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# reset"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 10%|█         | 1/10 [00:00<00:00, 30.04it/s]\n",
+      " 20%|██        | 1/5 [00:00<00:00, 495.37it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(t)\n",
+    "t.reset(total=5)\n",
+    "t.update(1)\n",
+    "print(t)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -121,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -155,7 +203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -164,7 +212,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -183,7 +231,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -193,7 +241,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -219,7 +267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -237,6 +285,36 @@
     "    t.update()\n",
     "    print(t)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# ncols"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "  0%|                                      | 0/10 [00:00<?, ?it/s]\n",
+      " 10%|███                           | 1/10 [00:00<00:00, 32.29it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "with trange(10, ncols=66) as t:\n",
+    "    print(t)\n",
+    "    for i in t:\n",
+    "        if i == 1:\n",
+    "            break\n",
+    "    print(t)"
+   ]
   }
  ],
  "metadata": {