From 0b43231f640aa427b632c439f90cba99abed1d0e Mon Sep 17 00:00:00 2001 From: Crista Lopes Date: Sat, 30 Nov 2013 10:54:06 -0800 Subject: [PATCH] Better passive aggressive style -- catch precondition failure too, and treat them all as annoying things that put us in a bad mood. --- 23-passive-aggressive/tf-23.py | 26 ++++++++++++++++++++++++-- 1 file changed, 24 insertions(+), 2 deletions(-) diff --git a/23-passive-aggressive/tf-23.py b/23-passive-aggressive/tf-23.py index 7d81f71..4d929ca 100644 --- a/23-passive-aggressive/tf-23.py +++ b/23-passive-aggressive/tf-23.py @@ -1,6 +1,8 @@ #!/usr/bin/env python import sys, re, operator, string +angry = "^*(&%#@^! (I don't want this)" + # # The PassiveAggressive class for this example # @@ -14,6 +16,8 @@ class TFPassiveAggressive: if self._e == None: try: self._value = func(self._value) + if self._value == angry: + raise AssertionError(angry) except Exception as e: self._e = e self._offending_func = func @@ -29,9 +33,15 @@ class TFPassiveAggressive: # The functions # def get_input(arg): + if len(sys.argv) <= 1: + return angry + return sys.argv[1] def extract_words(path_to_file): + if type(path_to_file) != str or not path_to_file: + return angry + with open(path_to_file) as f: data = f.read() pattern = re.compile('[\W_]+') @@ -39,6 +49,9 @@ def extract_words(path_to_file): return word_list def remove_stop_words(word_list): + if type(word_list) != list or not word_list: + return angry + with open('../stop_words.txt') as f: stop_words = f.read().split(',') # add single-letter words @@ -46,6 +59,9 @@ def remove_stop_words(word_list): return [w for w in word_list if not w in stop_words] def frequencies(word_list): + if type(word_list) != list or not word_list: + return angry + word_freqs = {} for w in word_list: if w in word_freqs: @@ -54,10 +70,16 @@ def frequencies(word_list): word_freqs[w] = 1 return word_freqs -def sort(word_freq): - return sorted(word_freq.iteritems(), key=operator.itemgetter(1), reverse=True) +def sort(word_freqs): + if type(word_freqs) != dict or not word_freqs: + return angry + + return sorted(word_freqs.iteritems(), key=operator.itemgetter(1), reverse=True) def top25_freqs(word_freqs): + if type(word_freqs) != dict or not word_freqs: + return angry + top25 = "" for tf in word_freqs[0:25]: top25 += str(tf[0]) + ' - ' + str(tf[1]) + '\n'