fewest_dominion_words.py

import numpy as np
# Corpus available here: https://pastebin.com/WqD6fAgu
# Corpus taken from https://dominionstrategy.com/all-cards/

# Read all cards into memory
with open('dominion_cards.html', 'r') as rfile:
  x = rfile.readlines()
  
# Convenience function to count words, used later
def count_words(text):
  # initialize count
  count = 0
  # Count the number of + and $
  for item in ['+', '$', '-']:
    count += text.count(item)
    text = text.replace(item, '')
  # Replace the slashes with spaces
  text = text.replace('/', ' ')
  # Split based on spaces, then with 
  # count the remaining words
  split_text = [item for item in text.split(' ') if any(item)]
  count += len(split_text)
  return count

# Extract cards and format pythonically
c = []
i = -1 
active=False
weasels = ['\n']
for s in x:
  # The <tr> indicates the start of a card
  if '<tr>' in s:
    active = True
    i += 1
    c += [[]]
  elif '</tr>' in s:
    active = False  
  elif active:
    ii = 0
    # Replace all html tags
    while s.find('<') != -1:
      ii +=1
      if ii > 100:
        print('breaking for safety')
        break
      low, high = s.find('<'), s.find('>')
      s = s[:low] + s[high + 1:]
    for word in weasels:
      s = s.replace(word, '')
    s = s.replace('Victory Points', 'VP')
    s = s.replace('Victory Point', 'VP')
    c[-1] += [s]
   
# Toss landmarks and other somesuch so and sos
c = [item for item in c if not any([word in item[1] for word in 'Boon', 'Landmark', 'Hex', 'State', 'Event', 'Castle', 'Ruins', 'Shelter'])]
txt = [', '.join(item[3:]) for item in c]

# Count words  
counts = [count_words(item) for item in txt]
order = np.argsort(counts)
np.asarray(counts)[order[:10]]
# Print out num_display cards and their wordcounts; display more than ten so we can skip ones with mistakes or errors
num_display = 25
print('Displaying 25 cards with lowest number of words...')
for i in range(num_display):
  print('#%d: %s, %s' % (i, np.asarray(c)[order[i]], np.asarray(counts)[order[i]]))
  
# Which ones I select
print('-------------------------------------')
print('-------------------------------------')
# print('My selected cards, and the total count:')
my_indices = [4, 7, 8, 9, 10, 11, 12, 13, 14, 15]
for num, i in enumerate(my_indices):
  print('#%d: %s, %s' % (num + 1, np.asarray(c)[order[i]], np.asarray(counts)[order[i]]))
print('Sum of all words is %d' % sum([counts[order[index]] for index in my_indices]))