Tidy up, make line numbers consistent with text

03-arrays/tf-03.py

@@ -1,10 +1,10 @@
 import sys, string
 import numpy as np
 
-# Example input: "Hello  World!!" 
+# Example input: "Hello  World!" 
 characters = np.array([' ']+list(open(sys.argv[1]).read())+[' '])
 # Result: array([' ', 'H', 'e', 'l', 'l', 'o', ' ', ' ', 
-#           'W', 'o', 'r', 'l', 'd', '!', '!', ' '], dtype='<U1')
+#           'W', 'o', 'r', 'l', 'd', '!', ' '], dtype='<U1')
 
 # Normalize
 characters[~np.char.isalpha(characters)] = ' '
@@ -25,7 +25,7 @@ w_ranges = np.reshape(sp2[1:-1], (-1, 2))
 #                [ 7, 13],
 #                [13, 14]], dtype=int64)
 # Remove the indexing to the spaces themselves
-w_ranges = w_ranges[np.where(w_ranges[:, 1] - w_ranges[:, 0] > 1)]
+w_ranges = w_ranges[np.where(w_ranges[:, 1] - w_ranges[:, 0] > 2)]
 # Result: array([[ 0,  6],
 #                [ 7, 13]], dtype=int64)
 
@@ -38,9 +38,7 @@ swords = np.array(list(map(lambda w: ''.join(w).strip(), words)))
 # Result: array(['hello', 'world'], dtype='<U5')
 
 # Next, let's remove stop words
-stop_words = open('../stop_words.txt').read().split(',')
+stop_words = np.array(list(set(open('../stop_words.txt').read().split(','))))
-stop_words.extend(list(string.ascii_lowercase))
-stop_words = np.array(list(set(stop_words)))
 ns_words = swords[~np.isin(swords, stop_words)]
 
 ### Finally, count the word occurrences

04-monolith/tf-04.py

@@ -1,5 +1,6 @@
 #!/usr/bin/env python
 import sys, string
+
 # the global list of [word, frequency] pairs
 word_freqs = []
 # the list of stop words

07-code-golf/tf-07.py

@@ -3,4 +3,4 @@ import heapq, re, sys
 
 words = re.findall("[a-z]{2,}", open(sys.argv[1]).read().lower())
 for w in heapq.nlargest(25, set(words) - set(open("../stop_words.txt").read().split(",")), words.count):
-    print(w, "-", words.count(w))
+    print(w, '-', words.count(w))

08-infinite-mirror/tf-08.py

@@ -34,7 +34,6 @@ def wf_print(wordfreq):
 
 stop_words = set(open('../stop_words.txt').read().split(','))
 words = re.findall('[a-z]{2,}', open(sys.argv[1]).read().lower())
-
 word_freqs = {}
 # Theoretically, we would just call count(words, stop_words, word_freqs)
 # Try doing that and see what happens.

09-kick-forward/tf-09.py

@@ -40,7 +40,7 @@ def sort(wf, func):
 
 def print_text(word_freqs, func):
     for (w, c) in word_freqs[0:25]:
-        print(w, "-", c)
+        print(w, '-', c)
     func(None)
 
 def no_op(func):

20-plugins/tf-20.py

@@ -7,8 +7,6 @@ def load_plugins():
     words_plugin = config.get("Plugins", "words")
     frequencies_plugin = config.get("Plugins", "frequencies")
     global tfwords, tffreqs
-#    tfwords = importlib.load_compiled('tfwords', words_plugin)
-#    tffreqs = importlib.load_compiled('tffreqs', frequencies_plugin)
     tfwords = importlib.machinery.SourcelessFileLoader('tfwords', words_plugin).load_module()
     tffreqs = importlib.machinery.SourcelessFileLoader('tffreqs', frequencies_plugin).load_module()
 

22-tantrum/tf-22.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python
+
 import sys, re, operator, string, traceback
 
 #

26-persistent-tables/tf-26.py

@@ -66,4 +66,4 @@ with sqlite3.connect('tf.db') as connection:
     for i in range(25):
         row = c.fetchone()
         if row != None:
-            print(row[0] + ' - '  + str(row[1]))
+            print(row[0], '-', str(row[1]))

27-spreadsheet/tf-27.py

@@ -38,6 +38,7 @@ def update():
         if c[1] != None:
             c[0] = c[1]() 
 
+
 # Load the fixed data into the first 2 columns
 all_words[0] = re.findall('[a-z]{2,}', open(sys.argv[1]).read().lower())
 stop_words[0] = set(open('../stop_words.txt').read().split(','))