COMPSs_Manuals/source/Sections/09_PyCOMPSs_Notebooks/syntax/3.1_Defining_classes_and_objects-with-reduce.ipynb

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   "source": [
    "# PyCOMPSs: Using objects, lists, and synchronization\n",
    "\n",
    "In this example we will see how classes and objects can be used from PyCOMPSs, and that class methods can become tasks."
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Import the PyCOMPSs library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pycompss.interactive as ipycompss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "-"
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   "source": [
    "## Start the runtime  \n",
    "Initialize COMPSs runtime\n",
    "Parameters indicates if the execution will generate task graph, tracefile, monitor interval and debug information. "
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********************************************************\n",
      "**************** PyCOMPSs Interactive ******************\n",
      "********************************************************\n",
      "*          .-~~-.--.           ______         ______   *\n",
      "*         :         )         |____  \\       |____  \\  *\n",
      "*   .~ ~ -.\\       /.- ~~ .      __) |          __) |  *\n",
      "*   >       `.   .'       <     |__  |         |__  |  *\n",
      "*  (         .- -.         )   ____) |   _    ____) |  *\n",
      "*   `- -.-~  `- -'  ~-.- -'   |______/  |_|  |______/  *\n",
      "*     (        :        )           _ _ .-:            *\n",
      "*      ~--.    :    .--~        .-~  .-~  }            *\n",
      "*          ~-.-^-.-~ \\_      .~  .-~   .~              *\n",
      "*                   \\ \\ '     \\ '_ _ -~                *\n",
      "*                    \\`.\\`.    //                      *\n",
      "*           . - ~ ~-.__\\`.\\`-.//                       *\n",
      "*       .-~   . - ~  }~ ~ ~-.~-.                       *\n",
      "*     .' .-~      .-~       :/~-.~-./:                 *\n",
      "*    /_~_ _ . - ~                 ~-.~-._              *\n",
      "*                                     ~-.<             *\n",
      "********************************************************\n",
      "* - Starting COMPSs runtime...                         *\n",
      "\u0000"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* - Log path : /home/user/.COMPSs/Interactive_04/\n",
      "* - PyCOMPSs Runtime started... Have fun!              *\n",
      "********************************************************\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "if 'BINDER_SERVICE_HOST' in os.environ:\n",
    "    ipycompss.start(graph=True, debug=True,\n",
    "                    project_xml='../xml/project.xml',\n",
    "                    resources_xml='../xml/resources.xml')\n",
    "else:\n",
    "    ipycompss.start(graph=True, monitor=1000, debug=True, trace=False)"
   ]
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   "source": [
    "## Importing task and arguments directionality modules \n",
    "Import task module before annotating functions or methods "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "source": [
    "from pycompss.api.api import compss_barrier\n",
    "from pycompss.api.api import compss_wait_on\n",
    "from pycompss.api.task import task"
   ]
  },
  {
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   "source": [
    "## Declaring a class"
   ]
  },
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   "execution_count": 4,
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   "outputs": [
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     "name": "stdout",
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     "text": [
      "Overwriting my_shaper.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile my_shaper.py \n",
    "\n",
    "from pycompss.api.task import task\n",
    "from pycompss.api.parameter import IN\n",
    "\n",
    "class Shape(object):\n",
    "    def __init__(self,x,y):\n",
    "        self.x = x\n",
    "        self.y = y\n",
    "        description = \"This shape has not been described yet\"\n",
    "\n",
    "    @task(returns=int)\n",
    "    def area(self):\n",
    "        return self.x * self.y\n",
    "    \n",
    "    @task(returns=int)\n",
    "    def perimeter(self):\n",
    "        return 2 * self.x + 2 * self.y\n",
    "    \n",
    "    def describe(self,text):\n",
    "        self.description = text\n",
    "        \n",
    "    @task()    \n",
    "    def scaleSize(self,scale):\n",
    "        self.x = self.x * scale\n",
    "        self.y = self.y * scale\n",
    "        \n",
    "    @task(target_direction=IN)\n",
    "    def infoShape(self):\n",
    "        print('Shape x=', self.x, 'y= ', self.y)\n",
    "        "
   ]
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   "execution_count": 5,
   "metadata": {},
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   "source": [
    "@task(returns=int)\n",
    "def addAll(*mylist):\n",
    "    sum = 0\n",
    "    for ll in mylist:\n",
    "        sum = sum + ll\n",
    "    return sum    "
   ]
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   "source": [
    "## Invoking tasks "
   ]
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   "execution_count": 6,
   "metadata": {},
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   "source": [
    "from my_shaper import Shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_shapes = []\n",
    "my_shapes.append(Shape(100,45))\n",
    "my_shapes.append(Shape(50,50))\n",
    "my_shapes.append(Shape(10,100))\n",
    "my_shapes.append(Shape(20,30))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_areas = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for this_shape in my_shapes:\n",
    "    all_areas.append(this_shape.area())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4500, 2500, 1000, 600]\n"
     ]
    }
   ],
   "source": [
    "# Need it if we want to synchonize nested objects\n",
    "all_areas = compss_wait_on(all_areas)\n",
    "print(all_areas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "X = 1000\n",
      "Area = 125000\n"
     ]
    }
   ],
   "source": [
    "rectangle = Shape(200,25)\n",
    "rectangle.scaleSize(5)\n",
    "area_rectangle = rectangle.area()\n",
    "rectangle = compss_wait_on(rectangle)\n",
    "print('X = %d' % rectangle.x)\n",
    "area_rectangle = compss_wait_on(area_rectangle)\n",
    "print('Area = %d' % area_rectangle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_perimeters=[]\n",
    "my_shapes.append(rectangle)\n",
    "for this_shape in my_shapes:\n",
    "    this_shape.infoShape()\n",
    "    all_perimeters.append(this_shape.perimeter())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# all_perimeters = compss_wait_on(all_perimeters)\n",
    "# print all_perimeters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Task definition detected.\n",
      "Found task: addAll\n",
      "3060\n"
     ]
    }
   ],
   "source": [
    "mysum = addAll(*all_perimeters)\n",
    "mysum = compss_wait_on(mysum)\n",
    "print(mysum)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Stop the runtime"
   ]
  },
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   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "********************************************************\n",
      "***************** STOPPING PyCOMPSs ********************\n",
      "********************************************************\n",
      "Checking if any issue happened.\n",
      "Synchronizing all future objects left on the user scope.\n",
      "Found a list to synchronize: my_shapes\n",
      "Found a list to synchronize: all_areas\n",
      "Found a list to synchronize: all_perimeters\n",
      "********************************************************\n"
     ]
    }
   ],
   "source": [
    "ipycompss.stop(sync=True)"
   ]
  }
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