Massive renaming!

19-aspects/tf-19.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python
+import sys, re, operator, string, time
+
+#
+# The functions
+#
+def extract_words(path_to_file):
+    with open(path_to_file) as f:
+        str_data = f.read()
+    pattern = re.compile('[\W_]+')
+    word_list = pattern.sub(' ', str_data).lower().split()
+    with open('../stop_words.txt') as f:
+        stop_words = f.read().split(',')
+    stop_words.extend(list(string.ascii_lowercase))
+    return [w for w in word_list if not w in stop_words]
+
+def frequencies(word_list):
+    word_freqs = {}
+    for w in word_list:
+        if w in word_freqs:
+            word_freqs[w] += 1
+        else:
+            word_freqs[w] = 1
+    return word_freqs
+
+def sort(word_freq):
+    return sorted(word_freq.items(), key=operator.itemgetter(1), reverse=True)
+
+# The side functionality
+def profile(f):
+    def profilewrapper(*arg, **kw):
+        start_time = time.time()
+        ret_value = f(*arg, **kw)
+        elapsed = time.time() - start_time
+        print("%s(...) took %s secs" % (f.__name__, elapsed))
+        return ret_value
+    return profilewrapper
+
+# join points
+tracked_functions = [extract_words, frequencies, sort]
+# weaver
+for func in tracked_functions:
+    globals()[func.__name__]=profile(func)
+
+word_freqs = sort(frequencies(extract_words(sys.argv[1])))
+
+for (w, c) in word_freqs[0:25]:
+    print(w, ' - ', c)
+