From e573c9f9f89f12a3c7198e5e514e81f7c6e29aba Mon Sep 17 00:00:00 2001
From: Kaushik Kulkarni <kaushikcfd@gmail.com>
Date: Sun, 18 Apr 2021 11:01:19 -0500
Subject: [PATCH] run nb-clean on ipython-integration-demo.ipynb

---
 .../fortran/ipython-integration-demo.ipynb    | 90 ++++---------------
 1 file changed, 16 insertions(+), 74 deletions(-)

diff --git a/examples/fortran/ipython-integration-demo.ipynb b/examples/fortran/ipython-integration-demo.ipynb
index 8fe25780b..d9ac1f1b2 100644
--- a/examples/fortran/ipython-integration-demo.ipynb
+++ b/examples/fortran/ipython-integration-demo.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,18 +25,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/kaushikggg/pack/loopy_kc_env/src/loopy/loopy/frontend/fortran/translator.py:807: LoopyWarning: 'lang_version' was not passed to make_function(). To avoid this warning, pass lang_version=(2018, 2) in this invocation. (Or say 'from loopy.version import LOOPY_USE_LANGUAGE_VERSION_2018_2' in the global scope of the calling frame.)\n",
-      "  seq_dependencies=seq_dependencies,\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%%fortran_kernel\n",
     "\n",
@@ -54,35 +45,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "---------------------------------------------------------------------------\n",
-      "KERNEL: fill\n",
-      "---------------------------------------------------------------------------\n",
-      "ARGUMENTS:\n",
-      "a: ValueArg, type: np:dtype('float64')\n",
-      "n: ValueArg, type: np:dtype('int32')\n",
-      "out: type: np:dtype('float64'), shape: (n), dim_tags: (N0:stride:1) aspace: global\n",
-      "---------------------------------------------------------------------------\n",
-      "DOMAINS:\n",
-      "[n] -> { [i] : 0 <= i < n }\n",
-      "---------------------------------------------------------------------------\n",
-      "INAME IMPLEMENTATION TAGS:\n",
-      "i: None\n",
-      "---------------------------------------------------------------------------\n",
-      "INSTRUCTIONS:\n",
-      "for i\n",
-      "  \u001b[36mout[i]\u001b[0m = \u001b[35ma\u001b[0m  {id=\u001b[32minsn0\u001b[0m}\n",
-      "end i\n",
-      "---------------------------------------------------------------------------\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(prog)"
    ]
@@ -96,8 +61,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "split_amount = 128"
@@ -105,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,36 +101,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "---------------------------------------------------------------------------\n",
-      "KERNEL: tr_fill\n",
-      "---------------------------------------------------------------------------\n",
-      "ARGUMENTS:\n",
-      "a: ValueArg, type: np:dtype('float64')\n",
-      "n: ValueArg, type: np:dtype('int32')\n",
-      "out: type: np:dtype('float64'), shape: (n), dim_tags: (N0:stride:1) aspace: global\n",
-      "---------------------------------------------------------------------------\n",
-      "DOMAINS:\n",
-      "[n] -> { [i_outer, i_inner] : i_inner >= 0 and -128i_outer <= i_inner <= 127 and i_inner < n - 128i_outer }\n",
-      "---------------------------------------------------------------------------\n",
-      "INAME IMPLEMENTATION TAGS:\n",
-      "i_inner: l.0\n",
-      "i_outer: g.0\n",
-      "---------------------------------------------------------------------------\n",
-      "INSTRUCTIONS:\n",
-      "for i_inner, i_outer\n",
-      "    \u001b[36mout[i_inner + i_outer*128]\u001b[0m = \u001b[35ma\u001b[0m  {id=\u001b[32minsn0\u001b[0m}\n",
-      "end i_inner, i_outer\n",
-      "---------------------------------------------------------------------------\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(prog)"
    ]
@@ -171,7 +111,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": []
   }
@@ -192,7 +134,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
-- 
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