2.5. Wordcount Exercise

Sequential version

[1]:
import os
[2]:
def read_file(file_path):
    """ Read a file and return a list of words.
    :param file_path: file's path
    :return: list of words
    """
    data = []
    with open(file_path, 'r') as f:
        for line in f:
            data += line.split()
    return data
[3]:
def wordCount(data):
    """ Construct a frequency word dictorionary from a list of words.
    :param data: a list of words
    :return: a dictionary where key=word and value=#appearances
    """
    partialResult = {}
    for entry in data:
        if entry in partialResult:
            partialResult[entry] += 1
        else:
            partialResult[entry] = 1
    return partialResult
[4]:
def merge_two_dicts(dic1, dic2):
    """ Update a dictionary with another dictionary.
    :param dic1: first dictionary
    :param dic2: second dictionary
    :return: dic1+=dic2
    """
    for k in dic2:
        if k in dic1:
            dic1[k] += dic2[k]
        else:
            dic1[k] = dic2[k]
    return dic1
[5]:
# Get the dataset path
pathDataset = os.getcwd() + '/dataset'

# Read file's content execute a wordcount on each of them
partialResult = []
for fileName in os.listdir(pathDataset):
    file_path = os.path.join(pathDataset, fileName)
    data = read_file(file_path)
    partialResult.append(wordCount(data))

# Accumulate the partial results to get the final result.
result = {}
for partial in partialResult:
    result = merge_two_dicts(result, partial)
[6]:
print("Result:")
from pprint import pprint
pprint(result)
print("Words: {}".format(sum(result.values())))
Result:
{'Adipisci': 227,
 'Aliquam': 233,
 'Amet': 207,
 'Consectetur': 201,
 'Dolor': 198,
 'Dolore': 236,
 'Dolorem': 232,
 'Eius': 251,
 'Est': 197,
 'Etincidunt': 232,
 'Ipsum': 228,
 'Labore': 229,
 'Magnam': 195,
 'Modi': 201,
 'Neque': 205,
 'Non': 226,
 'Numquam': 253,
 'Porro': 205,
 'Quaerat': 217,
 'Quiquia': 212,
 'Quisquam': 214,
 'Sed': 225,
 'Sit': 220,
 'Tempora': 189,
 'Ut': 217,
 'Velit': 218,
 'Voluptatem': 235,
 'adipisci': 1078,
 'aliquam': 1107,
 'amet': 1044,
 'consectetur': 1073,
 'dolor': 1120,
 'dolore': 1065,
 'dolorem': 1107,
 'eius': 1048,
 'est': 1101,
 'etincidunt': 1114,
 'ipsum': 1061,
 'labore': 1070,
 'magnam': 1096,
 'modi': 1127,
 'neque': 1093,
 'non': 1099,
 'numquam': 1094,
 'porro': 1101,
 'quaerat': 1086,
 'quiquia': 1079,
 'quisquam': 1144,
 'sed': 1109,
 'sit': 1130,
 'tempora': 1064,
 'ut': 1070,
 'velit': 1105,
 'voluptatem': 1121}
Words: 35409