Commit 5740c193 authored by Noric Couderc's avatar Noric Couderc
Browse files

Updated notebooks.

parent f3d81fbb

notebooks/JBrainy model investigation.ipynb

+45 −25
Original line number Diff line number Diff line
@@ -16,16 +16,25 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 1,

   "execution_count": 10,

   "metadata": {},

   "outputs": [],

   "outputs": [

    {

     "name": "stdout",

     "output_type": "stream",

     "text": [

      "The autoreload extension is already loaded. To reload it, use:\n",

      "  %reload_ext autoreload\n"

     ]

    }

   ],

   "source": [

    "%load_ext autoreload"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 2,

   "execution_count": 11,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -34,7 +43,18 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 1,

   "execution_count": 4,

   "metadata": {},

   "outputs": [],

   "source": [

    "# Add the JBrainy directory to the path\n",

    "import sys\n",

    "sys.path.append('../')"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 12,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -53,7 +73,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 2,

   "execution_count": 6,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -71,20 +91,20 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 3,

   "execution_count": 14,

   "metadata": {},

   "outputs": [],

   "source": [

    "data = load_training_data(\"data/jmh-results-9307f70f.csv\",\n",

    "                                      \"software-perf.csv\",\n",

    "                                      \"data/hardware-perf-data.csv\")\n",

    "data = load_training_data(\"../data/jmh-results-9307f70f.csv\",\n",

    "                          \"../data/software-counters-21-01-20.csv\",\n",

    "                          \"../data/hardware-perf-data.csv\")\n",

    "\n",

    "benchmark_data = data[\"data\"]"

   ]

  },

  {

   "cell_type": "code",

   "execution_count": 4,

   "execution_count": 15,

   "metadata": {},

   "outputs": [

    {
@@ -383,7 +403,7 @@ 
       "[8 rows x 101 columns]"

      ]

     },

     "execution_count": 4,

     "execution_count": 15,

     "metadata": {},

     "output_type": "execute_result"

    }
@@ -401,7 +421,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 5,

   "execution_count": 16,

   "metadata": {},

   "outputs": [

    {
@@ -419,7 +439,7 @@ 
       "       'addAll(int, Collection)', 'clear()', 'contains(Object)',\n",

       "       'containsAll(Collection)', 'containsKey(Object)',\n",

       "       'containsValue(Object)', 'entrySet()', 'equals(Object)',\n",

       "       'get(Object)', 'hashCode()', 'indexOf(Object)', 'isEmpty()',\n",

       "       'get(int)', 'hashCode()', 'indexOf(Object)', 'isEmpty()',\n",

       "       'iterator()', 'keySet()', 'lastIndexOf(Object)', 'listIterator()',\n",

       "       'listIterator(int)', 'put(Object, Object)', 'putAll(Map)',\n",

       "       'remove(Object)', 'remove(int)', 'removeAll(Collection)',\n",
@@ -441,7 +461,7 @@ 
       "      dtype=object)"

      ]

     },

     "execution_count": 5,

     "execution_count": 16,

     "metadata": {},

     "output_type": "execute_result"

    }
@@ -459,7 +479,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 6,

   "execution_count": 17,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -509,7 +529,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 7,

   "execution_count": 18,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -518,7 +538,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 8,

   "execution_count": 19,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -529,7 +549,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 9,

   "execution_count": 20,

   "metadata": {},

   "outputs": [

    {
@@ -828,7 +848,7 @@ 
       "[8 rows x 101 columns]"

      ]

     },

     "execution_count": 9,

     "execution_count": 20,

     "metadata": {},

     "output_type": "execute_result"

    }
@@ -843,7 +863,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 10,

   "execution_count": 21,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -857,7 +877,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 11,

   "execution_count": 22,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -867,7 +887,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 12,

   "execution_count": 23,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -4507,14 +4527,14 @@ 
  "language_info": {

   "codemirror_mode": {

    "name": "ipython",

    "version": 3

    "version": 2

   },

   "file_extension": ".py",

   "mimetype": "text/x-python",

   "name": "python",

   "nbconvert_exporter": "python",

   "pygments_lexer": "ipython3",

   "version": "3.7.4"

   "pygments_lexer": "ipython2",

   "version": "2.7.15+"

  }

 },

 "nbformat": 4,

notebooks/JMH-CollectionsBench-results.ipynb

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notebooks/Plotting Julia.ipynb

+3 −3
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@@ -8407,7 +8407,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 4,

   "execution_count": 2,

   "metadata": {},

   "outputs": [],

   "source": [
@@ -8417,7 +8417,7 @@ 
  },

  {

   "cell_type": "code",

   "execution_count": 5,

   "execution_count": 3,

   "metadata": {},

   "outputs": [

    {
@@ -8493,7 +8493,7 @@ 
       "│ 638529 │ Set       │ 499   │ 1000  │ 10000               │ LinkedHashSet  │"

      ]

     },

     "execution_count": 5,

     "execution_count": 3,

     "metadata": {},

     "output_type": "execute_result"

    }