Reference no: EM133369810

PART 1: IN JAVA:

Provide 2 plugins for extracting words: one should implement the "normal" extraction we have been using so far; the second one should extract only non-stop words with z.

Provide 2 plugins for counting words: one should implement the "normal" counting we have been using so far; the second one should count words based on their first letters, so words starting with 'a', words starting with 'b', etc.

(FOUR TOTAL PLUGINS, BUT ONE JAVA FILE PLEASE)

*NOTE: Ensure the output is the TOP 25 words as is done in the python example and ensure it properly removes stop words when I test the code.*

Constraints:

The problem is decomposed using some form of abstraction (procedures, functions, objects, etc.)

All or some of those abstractions are physically encapsulated into their own, usually pre-compiled, packages. Main program and each of the packages are compiled independently. These packages are loaded dynamically by the main program, usually in the beginning (but not necessarily).

Main program uses functions/objects from the dynamically-loaded packages, without knowing which exact implementations will be used. New implementations can be used without having to adapt or recompile the main program.

External specification of which packages to load. This can be done by a configuration file, path conventions, user input or other mechanisms for external specification of code to be linked at run time.

CODE:

import sys, configparser, importlib.machinery

def load_plugins():

config = configparser.ConfigParser()

config.read("config.ini")

words_plugin = config.get("Plugins", "words")

frequencies_plugi n = config.get("Plugins", "frequencies")

global tfwords, tffreqs

tfwords = importlib.machinery.SourcelessFileLoader('tfwords', words_plugin).load_module()

tffreqs = importlib.machinery.SourcelessFileLoader('tffreqs', frequencies_plugin).load_module()

load_plugins()

word_freqs = tffreqs.top25(tfwords.extract_words(sys.argv[1]))

 

for (w, c) in word_freqs:

print(w, '-', c)