Massive renaming!

25-quarantine/README.md

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+Style #24
+==============================
+
+This style is a variation of style #09, The One, with the following additional constraints:
+
+Constraints:
+
+- Core program functions have no side effects of any kind, including IO
+
+- All IO actions must be contained in computation sequences that are
+  clearly separated from the pure functions
+
+- All sequences that have IO must be called from the main program
+
+Possible names:
+
+- Quarantine
+- Monadic IO
+- Imperative functional style

25-quarantine/tf-25.py

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+#!/usr/bin/env python
+import sys, re, operator, string
+
+#
+# The Quarantine class for this example
+#
+class TFQuarantine:
+    def __init__(self, func):
+        self._funcs = [func]
+
+    def bind(self, func):
+        self._funcs.append(func)
+        return self
+
+    def execute(self):
+        def guard_callable(v):
+            return v() if hasattr(v, '__call__') else v
+
+        value = lambda : None
+        for func in self._funcs:
+            value = func(guard_callable(value))
+        print(guard_callable(value))
+
+#
+# The functions
+#
+def get_input(arg):
+    def _f():
+        return sys.argv[1]
+    return _f
+
+def extract_words(path_to_file):
+    def _f():
+        with open(path_to_file) as f:
+            data = f.read()
+        pattern = re.compile('[\W_]+')
+        word_list = pattern.sub(' ', data).lower().split()
+        return word_list
+    return _f
+
+def remove_stop_words(word_list):
+    def _f():
+        with open('../stop_words.txt') as f:
+            stop_words = f.read().split(',')
+        # add single-letter words
+        stop_words.extend(list(string.ascii_lowercase))
+        return [w for w in word_list if not w in stop_words]
+    return _f
+
+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)
+
+def top25_freqs(word_freqs):
+    top25 = ""
+    for tf in word_freqs[0:25]:
+        top25 += str(tf[0]) + ' - ' + str(tf[1]) + '\n'
+    return top25
+
+#
+# The main function
+#
+TFQuarantine(get_input)\
+.bind(extract_words)\
+.bind(remove_stop_words)\
+.bind(frequencies)\
+.bind(sort)\
+.bind(top25_freqs)\
+.execute()
+