COMPSs_Manuals/source/Sections/09_PyCOMPSs_Notebooks/hands-on/11_Wordcount_Exercise.ipynb

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    "# Wordcount Exercise\n",
    "\n",
    "## Sequential version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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   "source": [
    "import os"
   ]
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   "source": [
    "def read_file(file_path):\n",
    "    \"\"\" Read a file and return a list of words.\n",
    "    :param file_path: file's path\n",
    "    :return: list of words\n",
    "    \"\"\"\n",
    "    data = []\n",
    "    with open(file_path, 'r') as f:\n",
    "        for line in f:\n",
    "            data += line.split()\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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   "source": [
    "def wordCount(data):\n",
    "    \"\"\" Construct a frequency word dictorionary from a list of words.\n",
    "    :param data: a list of words\n",
    "    :return: a dictionary where key=word and value=#appearances\n",
    "    \"\"\"\n",
    "    partialResult = {}\n",
    "    for entry in data:\n",
    "        if entry in partialResult:\n",
    "            partialResult[entry] += 1\n",
    "        else:\n",
    "            partialResult[entry] = 1\n",
    "    return partialResult"
   ]
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   "cell_type": "code",
   "execution_count": 4,
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   "source": [
    "def merge_two_dicts(dic1, dic2):\n",
    "    \"\"\" Update a dictionary with another dictionary.\n",
    "    :param dic1: first dictionary\n",
    "    :param dic2: second dictionary\n",
    "    :return: dic1+=dic2\n",
    "    \"\"\"\n",
    "    for k in dic2:\n",
    "        if k in dic1:\n",
    "            dic1[k] += dic2[k]\n",
    "        else:\n",
    "            dic1[k] = dic2[k]\n",
    "    return dic1"
   ]
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   "cell_type": "code",
   "execution_count": 5,
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   "source": [
    "# Get the dataset path\n",
    "pathDataset = os.getcwd() + '/dataset'\n",
    "\n",
    "# Read file's content execute a wordcount on each of them\n",
    "partialResult = []\n",
    "for fileName in os.listdir(pathDataset):\n",
    "    file_path = os.path.join(pathDataset, fileName)\n",
    "    data = read_file(file_path)\n",
    "    partialResult.append(wordCount(data))\n",
    "\n",
    "# Accumulate the partial results to get the final result.\n",
    "result = {}\n",
    "for partial in partialResult:\n",
    "    result = merge_two_dicts(result, partial)"
   ]
  },
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   "execution_count": 6,
   "metadata": {},
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     "name": "stdout",
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     "text": [
      "Result:\n",
      "{'Adipisci': 227,\n",
      " 'Aliquam': 233,\n",
      " 'Amet': 207,\n",
      " 'Consectetur': 201,\n",
      " 'Dolor': 198,\n",
      " 'Dolore': 236,\n",
      " 'Dolorem': 232,\n",
      " 'Eius': 251,\n",
      " 'Est': 197,\n",
      " 'Etincidunt': 232,\n",
      " 'Ipsum': 228,\n",
      " 'Labore': 229,\n",
      " 'Magnam': 195,\n",
      " 'Modi': 201,\n",
      " 'Neque': 205,\n",
      " 'Non': 226,\n",
      " 'Numquam': 253,\n",
      " 'Porro': 205,\n",
      " 'Quaerat': 217,\n",
      " 'Quiquia': 212,\n",
      " 'Quisquam': 214,\n",
      " 'Sed': 225,\n",
      " 'Sit': 220,\n",
      " 'Tempora': 189,\n",
      " 'Ut': 217,\n",
      " 'Velit': 218,\n",
      " 'Voluptatem': 235,\n",
      " 'adipisci': 1078,\n",
      " 'aliquam': 1107,\n",
      " 'amet': 1044,\n",
      " 'consectetur': 1073,\n",
      " 'dolor': 1120,\n",
      " 'dolore': 1065,\n",
      " 'dolorem': 1107,\n",
      " 'eius': 1048,\n",
      " 'est': 1101,\n",
      " 'etincidunt': 1114,\n",
      " 'ipsum': 1061,\n",
      " 'labore': 1070,\n",
      " 'magnam': 1096,\n",
      " 'modi': 1127,\n",
      " 'neque': 1093,\n",
      " 'non': 1099,\n",
      " 'numquam': 1094,\n",
      " 'porro': 1101,\n",
      " 'quaerat': 1086,\n",
      " 'quiquia': 1079,\n",
      " 'quisquam': 1144,\n",
      " 'sed': 1109,\n",
      " 'sit': 1130,\n",
      " 'tempora': 1064,\n",
      " 'ut': 1070,\n",
      " 'velit': 1105,\n",
      " 'voluptatem': 1121}\n",
      "Words: 35409\n"
     ]
    }
   ],
   "source": [
    "print(\"Result:\")\n",
    "from pprint import pprint\n",
    "pprint(result)\n",
    "print(\"Words: {}\".format(sum(result.values())))"
   ]
  }
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