Add multiprocessing for board solving

Update boggler cli to use WordTree implementation

README.md

@@ -0,0 +1,396 @@
+# Boggler
+A solver for the popular word game Boggle.
+
+# Install
+```bash
+$ git clone https://github.com/cblanken/boggler.git
+```
+
+To use the script to solve a particular Boggle board configuration, you'll need to do a few things
+1. Create `.csv` of the board state like so:
+    
+    Here is an example `board.csv`. Note the orientation of the board does not matter.
+    ```console
+    $ cat boards/b1.csv
+    s,a,i,p
+    l,qu,a,y
+    u,l,l,s
+    o,w,h,a
+    ```
+2. Find a dictionary wordlist file or create your own
+
+    The dictionary wordlist should have each word on a single line like so
+    ```console
+    $ cat wordlists/wordlist.txt
+    a
+    aa
+    aaa
+    aah
+    aahed
+    aahing
+    aahs
+    aal
+    ...
+    zwiebacks
+    zwieselite
+    zwinglian
+    zwinglianism
+    zwinglianist
+    zwitter
+    zwitterion
+    zwitterionic
+    ```
+
+3. Split the dictionary wordlist into separate files based on the first letter of each word.
+
+    To split an English wordlist the `split_wordlist_alpha.sh` script can be used like so:
+    ```console
+    $ split_wordlist_alpha.sh my_wordlist.txt . 
+    ```
+    This will generate a series of sub-dictionaries for each letter in the alphabet in the current directory.
+    ```console
+    $ ls
+    my_wordlist.txt  words_d.txt  words_h.txt  words_l.txt  words_p.txt  words_t.txt  words_x.txt
+    words_a.txt      words_e.txt  words_i.txt  words_m.txt  words_q.txt  words_u.txt  words_y.txt
+    words_b.txt      words_f.txt  words_j.txt  words_n.txt  words_r.txt  words_v.txt  words_z.txt
+    words_c.txt      words_g.txt  words_k.txt  words_o.txt  words_s.txt  words_w.txt
+    ```
+
+# Usage
+```console
+$ python boggler.py
+Usage: python3 boggler.py <BOARD_FILE> <WORDLISTS_DIR> [MAX_WORD_LENGTH]
+$ python boggler.py board.csv wordlists/ 15
+Reading in wordlists...
+>> d: words_d.txt
+>> e: words_e.txt
+>> f: words_f.txt
+>> m: words_m.txt
+>> n: words_n.txt
+>> o: words_o.txt
+>> qu: words_q.txt
+>> r: words_r.txt
+>> s: words_s.txt
+>> v: words_v.txt
+>> y: words_y.txt
+Generating WordTrees...
+>> (0, 0): y
+>> (0, 1): e
+>> (0, 2): o
+>> (0, 3): s
+>> (1, 0): r
+>> (1, 1): e
+>> (1, 2): o
+>> (1, 3): v
+>> (2, 0): d
+>> (2, 1): f
+>> (2, 2): e
+>> (2, 3): y
+>> (3, 0): n
+>> (3, 1): m
+>> (3, 2): e
+>> (3, 3): qu
+
+BOARD
++---------------+
+| Y | E | O | S |
++---------------+
+| R | E | O | V |
++---------------+
+| D | F | E | Y |
++---------------+
+| N | M | E |QU |
++---------------+
+
+
+Starting @ (0, 0)...
+y              : [(0, 0)]
+yr             : [(0, 0), (1, 0)]
+ye             : [(0, 0), (1, 1)]
+yee            : [(0, 0), (1, 1), (0, 1)]
+yeo            : [(0, 0), (1, 1), (0, 2)]
+yed            : [(0, 0), (1, 1), (2, 0)]
+yee            : [(0, 0), (1, 1), (2, 2)]
+yer            : [(0, 0), (1, 1), (1, 0)]
+yere           : [(0, 0), (1, 1), (1, 0), (0, 1)]
+yerd           : [(0, 0), (1, 1), (1, 0), (2, 0)]
+yeo            : [(0, 0), (1, 1), (1, 2)]
+ye             : [(0, 0), (0, 1)]
+yee            : [(0, 0), (0, 1), (1, 1)]
+yer            : [(0, 0), (0, 1), (1, 0)]
+yerd           : [(0, 0), (0, 1), (1, 0), (2, 0)]
+yere           : [(0, 0), (0, 1), (1, 0), (1, 1)]
+yeo            : [(0, 0), (0, 1), (1, 2)]
+yeo            : [(0, 0), (0, 1), (0, 2)]
+
+Starting @ (0, 1)...
+e              : [(0, 1)]
+ee             : [(0, 1), (1, 1)]
+eer            : [(0, 1), (1, 1), (1, 0)]
+eery           : [(0, 1), (1, 1), (1, 0), (0, 0)]
+er             : [(0, 1), (1, 0)]
+erd            : [(0, 1), (1, 0), (2, 0)]
+erf            : [(0, 1), (1, 0), (2, 1)]
+ere            : [(0, 1), (1, 0), (1, 1)]
+eo             : [(0, 1), (1, 2)]
+eos            : [(0, 1), (1, 2), (0, 3)]
+eof            : [(0, 1), (1, 2), (2, 1)]
+ey             : [(0, 1), (0, 0)]
+eyr            : [(0, 1), (0, 0), (1, 0)]
+eyre           : [(0, 1), (0, 0), (1, 0), (1, 1)]
+eye            : [(0, 1), (0, 0), (1, 1)]
+eyed           : [(0, 1), (0, 0), (1, 1), (2, 0)]
+eyer           : [(0, 1), (0, 0), (1, 1), (1, 0)]
+eo             : [(0, 1), (0, 2)]
+eos            : [(0, 1), (0, 2), (0, 3)]
+
+Starting @ (0, 2)...
+o              : [(0, 2)]
+oos            : [(0, 2), (1, 2), (0, 3)]
+oof            : [(0, 2), (1, 2), (2, 1)]
+oe             : [(0, 2), (1, 1)]
+oer            : [(0, 2), (1, 1), (1, 0)]
+ovey           : [(0, 2), (1, 3), (2, 2), (2, 3)]
+oe             : [(0, 2), (0, 1)]
+oer            : [(0, 2), (0, 1), (1, 0)]
+os             : [(0, 2), (0, 3)]
+
+Starting @ (0, 3)...
+s              : [(0, 3)]
+sv             : [(0, 3), (1, 3)]
+so             : [(0, 3), (1, 2)]
+sooey          : [(0, 3), (1, 2), (0, 2), (1, 1), (0, 0)]
+sooey          : [(0, 3), (1, 2), (0, 2), (0, 1), (0, 0)]
+soe            : [(0, 3), (1, 2), (0, 1)]
+soe            : [(0, 3), (1, 2), (2, 2)]
+sofer          : [(0, 3), (1, 2), (2, 1), (1, 1), (1, 0)]
+soy            : [(0, 3), (1, 2), (2, 3)]
+soe            : [(0, 3), (1, 2), (1, 1)]
+sov            : [(0, 3), (1, 2), (1, 3)]
+so             : [(0, 3), (0, 2)]
+sooey          : [(0, 3), (0, 2), (1, 2), (0, 1), (0, 0)]
+sooey          : [(0, 3), (0, 2), (1, 2), (2, 2), (2, 3)]
+sooey          : [(0, 3), (0, 2), (1, 2), (1, 1), (0, 0)]
+soe            : [(0, 3), (0, 2), (1, 1)]
+sov            : [(0, 3), (0, 2), (1, 3)]
+soe            : [(0, 3), (0, 2), (0, 1)]
+
+Starting @ (1, 0)...
+r              : [(1, 0)]
+rye            : [(1, 0), (0, 0), (1, 1)]
+rye            : [(1, 0), (0, 0), (0, 1)]
+re             : [(1, 0), (0, 1)]
+ree            : [(1, 0), (0, 1), (1, 1)]
+reef           : [(1, 0), (0, 1), (1, 1), (2, 1)]
+reed           : [(1, 0), (0, 1), (1, 1), (2, 0)]
+rd             : [(1, 0), (2, 0)]
+rf             : [(1, 0), (2, 1)]
+re             : [(1, 0), (1, 1)]
+ree            : [(1, 0), (1, 1), (0, 1)]
+ref            : [(1, 0), (1, 1), (2, 1)]
+red            : [(1, 0), (1, 1), (2, 0)]
+ree            : [(1, 0), (1, 1), (2, 2)]
+reem           : [(1, 0), (1, 1), (2, 2), (3, 1)]
+reef           : [(1, 0), (1, 1), (2, 2), (2, 1)]
+
+Starting @ (1, 1)...
+e              : [(1, 1)]
+ee             : [(1, 1), (0, 1)]
+eer            : [(1, 1), (0, 1), (1, 0)]
+eery           : [(1, 1), (0, 1), (1, 0), (0, 0)]
+ey             : [(1, 1), (0, 0)]
+eyr            : [(1, 1), (0, 0), (1, 0)]
+eyre           : [(1, 1), (0, 0), (1, 0), (0, 1)]
+eye            : [(1, 1), (0, 0), (0, 1)]
+eyer           : [(1, 1), (0, 0), (0, 1), (1, 0)]
+eo             : [(1, 1), (0, 2)]
+eos            : [(1, 1), (0, 2), (0, 3)]
+ef             : [(1, 1), (2, 1)]
+ed             : [(1, 1), (2, 0)]
+ee             : [(1, 1), (2, 2)]
+er             : [(1, 1), (1, 0)]
+ere            : [(1, 1), (1, 0), (0, 1)]
+erd            : [(1, 1), (1, 0), (2, 0)]
+erf            : [(1, 1), (1, 0), (2, 1)]
+eo             : [(1, 1), (1, 2)]
+eos            : [(1, 1), (1, 2), (0, 3)]
+eof            : [(1, 1), (1, 2), (2, 1)]
+
+Starting @ (1, 2)...
+o              : [(1, 2)]
+oos            : [(1, 2), (0, 2), (0, 3)]
+oe             : [(1, 2), (0, 1)]
+oer            : [(1, 2), (0, 1), (1, 0)]
+os             : [(1, 2), (0, 3)]
+oe             : [(1, 2), (2, 2)]
+of             : [(1, 2), (2, 1)]
+ofer           : [(1, 2), (2, 1), (1, 1), (1, 0)]
+oy             : [(1, 2), (2, 3)]
+oe             : [(1, 2), (1, 1)]
+oer            : [(1, 2), (1, 1), (1, 0)]
+ovey           : [(1, 2), (1, 3), (2, 2), (2, 3)]
+
+Starting @ (1, 3)...
+v              : [(1, 3)]
+vs             : [(1, 3), (0, 3)]
+vo             : [(1, 3), (0, 2)]
+voe            : [(1, 3), (0, 2), (1, 1)]
+voe            : [(1, 3), (0, 2), (0, 1)]
+vee            : [(1, 3), (2, 2), (1, 1)]
+veer           : [(1, 3), (2, 2), (1, 1), (1, 0)]
+veery          : [(1, 3), (2, 2), (1, 1), (1, 0), (0, 0)]
+vee            : [(1, 3), (2, 2), (3, 2)]
+vefry          : [(1, 3), (2, 2), (2, 1), (1, 0), (0, 0)]
+vo             : [(1, 3), (1, 2)]
+voe            : [(1, 3), (1, 2), (0, 1)]
+voe            : [(1, 3), (1, 2), (2, 2)]
+voe            : [(1, 3), (1, 2), (1, 1)]
+
+Starting @ (2, 0)...
+d              : [(2, 0)]
+dr             : [(2, 0), (1, 0)]
+dry            : [(2, 0), (1, 0), (0, 0)]
+dree           : [(2, 0), (1, 0), (0, 1), (1, 1)]
+drey           : [(2, 0), (1, 0), (0, 1), (0, 0)]
+dree           : [(2, 0), (1, 0), (1, 1), (0, 1)]
+drey           : [(2, 0), (1, 0), (1, 1), (0, 0)]
+dree           : [(2, 0), (1, 0), (1, 1), (2, 2)]
+de             : [(2, 0), (1, 1)]
+dee            : [(2, 0), (1, 1), (0, 1)]
+deer           : [(2, 0), (1, 1), (0, 1), (1, 0)]
+dey            : [(2, 0), (1, 1), (0, 0)]
+def            : [(2, 0), (1, 1), (2, 1)]
+dee            : [(2, 0), (1, 1), (2, 2)]
+deem           : [(2, 0), (1, 1), (2, 2), (3, 1)]
+der            : [(2, 0), (1, 1), (1, 0)]
+dere           : [(2, 0), (1, 1), (1, 0), (0, 1)]
+derf           : [(2, 0), (1, 1), (1, 0), (2, 1)]
+dn             : [(2, 0), (3, 0)]
+dm             : [(2, 0), (3, 1)]
+
+Starting @ (2, 1)...
+f              : [(2, 1)]
+fe             : [(2, 1), (1, 1)]
+fee            : [(2, 1), (1, 1), (0, 1)]
+feer           : [(2, 1), (1, 1), (0, 1), (1, 0)]
+fey            : [(2, 1), (1, 1), (0, 0)]
+feyer          : [(2, 1), (1, 1), (0, 0), (0, 1), (1, 0)]
+fed            : [(2, 1), (1, 1), (2, 0)]
+fedn           : [(2, 1), (1, 1), (2, 0), (3, 0)]
+fee            : [(2, 1), (1, 1), (2, 2)]
+fer            : [(2, 1), (1, 1), (1, 0)]
+fere           : [(2, 1), (1, 1), (1, 0), (0, 1)]
+ferd           : [(2, 1), (1, 1), (1, 0), (2, 0)]
+fr             : [(2, 1), (1, 0)]
+fry            : [(2, 1), (1, 0), (0, 0)]
+free           : [(2, 1), (1, 0), (0, 1), (1, 1)]
+freed          : [(2, 1), (1, 0), (0, 1), (1, 1), (2, 0)]
+frey           : [(2, 1), (1, 0), (0, 1), (0, 0)]
+free           : [(2, 1), (1, 0), (1, 1), (0, 1)]
+frey           : [(2, 1), (1, 0), (1, 1), (0, 0)]
+fred           : [(2, 1), (1, 0), (1, 1), (2, 0)]
+free           : [(2, 1), (1, 0), (1, 1), (2, 2)]
+fo             : [(2, 1), (1, 2)]
+foo            : [(2, 1), (1, 2), (0, 2)]
+foe            : [(2, 1), (1, 2), (0, 1)]
+foe            : [(2, 1), (1, 2), (2, 2)]
+foy            : [(2, 1), (1, 2), (2, 3)]
+foe            : [(2, 1), (1, 2), (1, 1)]
+fm             : [(2, 1), (3, 1)]
+fn             : [(2, 1), (3, 0)]
+fe             : [(2, 1), (3, 2)]
+fee            : [(2, 1), (3, 2), (2, 2)]
+fey            : [(2, 1), (3, 2), (2, 3)]
+fem            : [(2, 1), (3, 2), (3, 1)]
+feme           : [(2, 1), (3, 2), (3, 1), (2, 2)]
+fe             : [(2, 1), (2, 2)]
+fee            : [(2, 1), (2, 2), (1, 1)]
+feed           : [(2, 1), (2, 2), (1, 1), (2, 0)]
+feer           : [(2, 1), (2, 2), (1, 1), (1, 0)]
+feere          : [(2, 1), (2, 2), (1, 1), (1, 0), (0, 1)]
+fee            : [(2, 1), (2, 2), (3, 2)]
+fem            : [(2, 1), (2, 2), (3, 1)]
+feme           : [(2, 1), (2, 2), (3, 1), (3, 2)]
+fey            : [(2, 1), (2, 2), (2, 3)]
+
+Starting @ (2, 2)...
+e              : [(2, 2)]
+eo             : [(2, 2), (1, 2)]
+eos            : [(2, 2), (1, 2), (0, 3)]
+eof            : [(2, 2), (1, 2), (2, 1)]
+ee             : [(2, 2), (1, 1)]
+eer            : [(2, 2), (1, 1), (1, 0)]
+eery           : [(2, 2), (1, 1), (1, 0), (0, 0)]
+evoe           : [(2, 2), (1, 3), (0, 2), (1, 1)]
+evoe           : [(2, 2), (1, 3), (0, 2), (0, 1)]
+evoe           : [(2, 2), (1, 3), (1, 2), (0, 1)]
+evoe           : [(2, 2), (1, 3), (1, 2), (1, 1)]
+ee             : [(2, 2), (3, 2)]
+em             : [(2, 2), (3, 1)]
+emf            : [(2, 2), (3, 1), (2, 1)]
+eme            : [(2, 2), (3, 1), (3, 2)]
+ef             : [(2, 2), (2, 1)]
+ey             : [(2, 2), (2, 3)]
+eye            : [(2, 2), (2, 3), (3, 2)]
+
+Starting @ (2, 3)...
+y              : [(2, 3)]
+yo             : [(2, 3), (1, 2)]
+yoe            : [(2, 3), (1, 2), (0, 1)]
+yoe            : [(2, 3), (1, 2), (2, 2)]
+yoe            : [(2, 3), (1, 2), (1, 1)]
+yquem          : [(2, 3), (3, 3), (2, 2), (3, 1)]
+yquem          : [(2, 3), (3, 3), (3, 2), (3, 1)]
+ye             : [(2, 3), (3, 2)]
+yee            : [(2, 3), (3, 2), (2, 2)]
+ye             : [(2, 3), (2, 2)]
+yeo            : [(2, 3), (2, 2), (1, 2)]
+yee            : [(2, 3), (2, 2), (1, 1)]
+yee            : [(2, 3), (2, 2), (3, 2)]
+
+Starting @ (3, 0)...
+n              : [(3, 0)]
+nd             : [(3, 0), (2, 0)]
+nm             : [(3, 0), (3, 1)]
+
+Starting @ (3, 1)...
+m              : [(3, 1)]
+mf             : [(3, 1), (2, 1)]
+mfr            : [(3, 1), (2, 1), (1, 0)]
+mfd            : [(3, 1), (2, 1), (2, 0)]
+md             : [(3, 1), (2, 0)]
+me             : [(3, 1), (2, 2)]
+meo            : [(3, 1), (2, 2), (1, 2)]
+mee            : [(3, 1), (2, 2), (1, 1)]
+meed           : [(3, 1), (2, 2), (1, 1), (2, 0)]
+meer           : [(3, 1), (2, 2), (1, 1), (1, 0)]
+mev            : [(3, 1), (2, 2), (1, 3)]
+mee            : [(3, 1), (2, 2), (3, 2)]
+mn             : [(3, 1), (3, 0)]
+me             : [(3, 1), (3, 2)]
+mee            : [(3, 1), (3, 2), (2, 2)]
+
+Starting @ (3, 2)...
+e              : [(3, 2)]
+ee             : [(3, 2), (2, 2)]
+ef             : [(3, 2), (2, 1)]
+ey             : [(3, 2), (2, 3)]
+eye            : [(3, 2), (2, 3), (2, 2)]
+em             : [(3, 2), (3, 1)]
+emf            : [(3, 2), (3, 1), (2, 1)]
+eme            : [(3, 2), (3, 1), (2, 2)]
+emeer          : [(3, 2), (3, 1), (2, 2), (1, 1), (1, 0)]
+
+Starting @ (3, 3)...
+qu             : [(3, 3)]
+que            : [(3, 3), (2, 2)]
+queer          : [(3, 3), (2, 2), (1, 1), (1, 0)]
+queery         : [(3, 3), (2, 2), (1, 1), (1, 0), (0, 0)]
+quem           : [(3, 3), (2, 2), (3, 1)]
+queme          : [(3, 3), (2, 2), (3, 1), (3, 2)]
+quey           : [(3, 3), (2, 2), (2, 3)]
+que            : [(3, 3), (3, 2)]
+quey           : [(3, 3), (3, 2), (2, 3)]
+quem           : [(3, 3), (3, 2), (3, 1)]
+queme          : [(3, 3), (3, 2), (3, 1), (2, 2)]
+```

board_randimizer.py

@@ -4,9 +4,10 @@ from random import randint, shuffle
 from math import sqrt
 
 def read_dice_file(path):
+    # TODO: Factor in 'qu' die face
     '''Return list of die strings from file ignoring all comments (#)'''
     with open(path, 'r+', encoding="utf-8") as file:
-        return [''.join(line.rstrip().split(',')) for line in file.readlines() if line[0] != "#"]
+        return [line.rstrip().split(',') for line in file.readlines() if line[0] != "#"]
 
 def roll_die(die: str):
     '''Return a face of the given die string to simulate rolling a die'''
@@ -27,4 +28,4 @@ if __name__ == '__main__':
         # Format dice rolls for boards file
         board_size = int(sqrt(len(rolls)))
         for i in range(0, len(dice_strings), board_size):
-            print("".join(rolls[i:i+board_size]))
+            print(",".join(rolls[i:i+board_size]))

boards/b1.csv

@@ -0,0 +1,4 @@
+s,a,i,p
+l,qu,a,y
+u,l,l,s
+o,w,h,a

boards/b1.txt

@@ -1,4 +0,0 @@
-aucd
-eegh
-hios
-trea

boards/b10.csv

@@ -0,0 +1,4 @@
+t,h,a,e
+o,p,j,v
+f,e,i,t
+n,e,v,i

boards/b2.csv

@@ -0,0 +1,4 @@
+w,a,n,c
+j,i,e,u
+y,g,o,e
+i,l,e,c

boards/b2.txt

@@ -1,4 +0,0 @@
-vdau
-ptuo
-ohxr
-wlhn

boards/b3.csv

@@ -0,0 +1,4 @@
+y,o,o,a
+p,l,n,v
+t,i,o,qu
+n,f,u,t

boards/b3.txt

@@ -1,4 +0,0 @@
-nxaa
-vatr
-ieba
-iurn

boards/b4.csv

@@ -0,0 +1,4 @@
+o,d,r,s
+a,h,e,s
+e,t,i,h
+u,r,e,o

boards/b4.txt

@@ -1,4 +0,0 @@
-vdat
-pteo
-ohnr
-wlan

boards/b5.csv

@@ -0,0 +1,4 @@
+e,t,p,a
+b,m,v,g
+c,s,e,n
+x,g,d,t

boards/b5.txt

@@ -1,5 +0,0 @@
-nbapi
-satrk
-iebae
-turnl
-icqme

boards/b6.csv

@@ -0,0 +1,4 @@
+c,e,s,o
+e,j,d,h
+s,n,r,h
+w,c,r,y

boards/b6.txt

@@ -1,6 +0,0 @@
-nbapir
-satrkp
-iebaez
-turnls
-icqmet
-nynjro

boards/b7.csv

@@ -0,0 +1,4 @@
+l,e,e,e
+b,k,p,o
+h,u,u,i
+y,t,t,s

boards/b8.csv

@@ -0,0 +1,4 @@
+y,e,o,s
+r,e,o,v
+d,f,e,y
+n,m,e,qu

boards/b9.csv

@@ -0,0 +1,4 @@
+e,w,t,m
+s,p,m,r
+h,y,o,x
+y,t,e,w

boggler.py

@@ -1,111 +1,33 @@
+"""Boggler Demo"""
 import sys
-from dictionary_utils import WordTree
+from pathlib import Path
-from copy import deepcopy
+from boggler_utils import BoggleBoard, build_full_boggle_tree, read_boggle_file
-
-def read_boggle_file(file):
-    '''Return list of rows from Boggle board file'''
-    with open(file, 'r', encoding='utf-8') as file:
-        return [x.rstrip() for x in file.readlines()]
-
-def read_wordlist(file):
-    '''Return dictionary of words with associated word count (1 by default)'''
-    with open(file, 'r', encoding='utf-8') as file:
-        return {k:1 for k in file.read().split()}
-        
-def get_adjacent_indexes(board, row, col):
-    '''Return adjecency list for matrix (Boggle board) of size `row x col`'''
-    max_height = len(board) - 1
-    max_width = len(board[0]) - 1
-    indexes = []
-    if row > 0:
-        indexes.append((row-1, col)) # up
-        if col > 0:
-            indexes.append((row-1, col-1)) # up-left
-        if col < max_width:
-            indexes.append((row-1, col+1)) # up-right
-    if row < max_height:
-        indexes.append((row+1, col)) # down
-        if col > 0:
-            indexes.append((row+1, col-1)) # down-left
-        if col < max_width:
-            indexes.append((row+1, col+1)) # down-right
-    if col > 0:
-        indexes.append((row, col-1)) # left
-    if col < max_width:
-        indexes.append((row, col+1)) # right
-
-    return indexes
-
-def find_words_by_index(board, wordlist, row, col, depth, adjacent_indexes, prefix = '', path = [], found_words = {}, prefixes = None, max_depth = 5, prefix_len = 0):
-    if depth == max_depth:
-        return {}
-
-    if prefixes != None and depth == prefix_len and prefix not in prefixes:
-        return {}
-    prefix = prefix + board[row][col]
-
-    found_words = deepcopy(found_words)
-    path = deepcopy(path)
-
-    path.append((row, col))
-    if prefix in wordlist:
-        found_words[prefix] = 1
-
-    adjacents = [x for x in adjacent_indexes[(row, col)] if x not in path]
-    for adj in adjacents:
-        new_words = find_words_by_index(board,
-                                     wordlist,
-                                     adj[0],
-                                     adj[1],
-                                     depth+1,
-                                     adjacent_indexes,
-                                     prefix,
-                                     path,
-                                     found_words,
-                                     prefixes,
-                                     max_depth,
-                                     prefix_len)
-        for k, v in new_words.items():
-            if k in wordlist and k in found_words:
-                # Add and increment word counts
-                #foundWords[k] = foundWords[k] + v
-                found_words[k] = found_words[k]
-            elif k in wordlist.keys():
-                found_words[k] = v
-
-    return found_words
-
-def find_words(board, adjacent_indexes,  wordlist_path, max_depth = 5, prefixes = None, prefix_len = 0):
-    words = {}
-    for row in range(len(board)):
-        for col in range(len(board[0])):
-            # Find words for each row/col starting points
-            wordlist = read_wordlist(wordlist_path + 'words_' + board[row][col] + '.txt')
-            newWords = find_words_by_index(board, wordlist, row, col, 0, adjacent_indexes, prefixes = prefixes, max_depth = max_depth, prefix_len = prefix_len)
-            for w,v in newWords.items():
-                # Add and increment word counts
-                words[w] = words[w] + v if w in words.keys() else v
-
-    return words
-
 
 if __name__ == '__main__':
-    if len(sys.argv) != 5:
+    if len(sys.argv) < 3 or len(sys.argv) > 4:
-        print('Usage: python3 blogger.py <BOARD_FILE> <MAX_WORD_LENGTH> <PREFIX_FILE> <WORDLISTS>')
+        print('Usage: python3 boggler.py <BOARD_FILE> <WORDLISTS_DIR> [MAX_WORD_LENGTH]')
-    else:
+        sys.exit(1)
-        board = read_boggle_file(sys.argv[1])
-        print(board)
-        adjacentIndexes = {}
-        for r in range(len(board)):
-            for c in range(len(board)):
-                adjacentIndexes[(r,c)] = get_adjacent_indexes(board, r, c)
 
-        adjacentLetters = {
+    board = read_boggle_file(Path(sys.argv[1]))
-            k:[board[pos[0]][pos[1]] for pos in v] for (k,v) in adjacentIndexes.items()
+    if len(sys.argv) == 3:
-        }
+        boggle_board = BoggleBoard(board)
+        print(boggle_board)
+        boggle_tree = build_full_boggle_tree(boggle_board, Path(sys.argv[2]))
+    elif len(sys.argv) == 4:
+        try :
+            boggle_board = BoggleBoard(board, int(sys.argv[3]))
+            print(boggle_board)
+            boggle_tree = build_full_boggle_tree(boggle_board, Path(sys.argv[2]))
 
-        maxSize = int(sys.argv[2], 10)
+            print("\nBOARD")
-        prefixes = read_wordlist(sys.argv[3])
+            print(boggle_board)
-        words = find_words(board, adjacentIndexes, sys.argv[4], maxSize, prefixes, 4)
+
-        for w in words:
+            for start_pos, tree in boggle_tree.items():
-            print(w)
+                print(f"\nStarting @ {start_pos}...")
+                for word in tree.word_paths:
+                    print(f"{word[0]: <{boggle_board.max_word_len}}: {word[1]}")
+
+        except ValueError as e:
+            print("The [MAX_WORD_LENGTH] argument must be an integer.")
+            print("Please try again.")
+            sys.exit(1)

boggler_utils.py

@@ -1,15 +1,18 @@
 '''Boggler Utils'''
 
 from __future__ import annotations
+from os import path
 from multiprocessing import Pool
+import sys
 
 class BoardCell:
     '''Boggle Board cell'''
-    def __init__(self, row: int, col: int, letter: str, adjacent_cells: list[BoardCell] = None) -> BoardCell:
+    def __init__(self, row: int, col: int, letters: str,
+        adjacent_cells: list[BoardCell] = None) -> BoardCell:
         self.__row: int = row
         self.__col: int = col
         self.__pos: (int, int) = (self.__row, self.__col)
-        self.__letter: str = letter
+        self.__letters: str = letters
         self.__adjacent_cells: list[BoardCell] = adjacent_cells
 
     @property
@@ -28,9 +31,9 @@ class BoardCell:
         return self.__pos
 
     @property
-    def letter(self) -> str:
+    def letters(self) -> str:
         '''Getter for letter property'''
-        return self.__letter
+        return self.__letters
 
     @property
     def adjacent_cells(self) -> list[BoardCell]:
@@ -42,31 +45,48 @@ class BoardCell:
         self.__adjacent_cells = value
 
     def __str__(self):
-        return f"({self.__row}, {self.__col}: {self.__letter} | {self.__adjacent_cells})"
+        return f"({self.__row}, {self.__col}): {self.__letters}"
+
+    def __repr__(self):
+        return f"(BoardCell({self.__row}, {self.__col}): {self.__letters}"
 
 class BoggleBoard:
     '''Boggle board structure'''
     def __init__(self, board: list[list[str]], max_word_len: int = 14) -> BoggleBoard:
         self.__height: int = len(board)
         self.__width: int = len(board[0]) if self.__height > 0 else 0
+        self.__board_list = board
         self.__board: dict[(int, int), BoardCell] = {}
 
-        # max word length is limited by size of the board
+        # Max word length is limited by size of the board
         self.__max_word_len = min(max_word_len, self.__width * self.__height)
 
         # Generate BoardCell for each position on the board
         for row in range(0, self.__height):
             for col in range(0, self.__width):
-                #self.adjacency_dict[(row, col)] = self.__get_adjacent_indexes(row, col)
                 self.__board[(row, col)] = BoardCell(row, col, board[row][col])
 
         # Update adjacent cell references for each BoardCell
         for cell in self.__board.values():
             adjacent_indexes = self.__get_adjacent_indexes(cell.row, cell.col)
-            #print(cell)
-            #print(adjacent_indexes)
             cell.adjacent_cells = [self.__board[(x[0], x[1])] for x in adjacent_indexes]
 
+    def __str__(self):
+        flattened_board_list = [y for x in self.__board_list for y in x]
+        max_len = len(max(flattened_board_list, key=len))
+        max_len = max_len + 1 if max_len % 2 == 0 else max_len + 2 # keep header_len odd
+        header_len = self.__width * (max_len + 1) - 1
+        head = "-" * header_len
+        header = f"+{head}+\n"
+        body = ""
+        for row in self.__board_list:
+            body += "|"
+            for col in row:
+                body += f"{col.upper(): ^{max_len}}|"
+            body += "\n"
+            body += header
+        return f"{header}{body}"
+
     @property
     def height(self) -> int:
         '''Getter for height property'''
@@ -76,12 +96,14 @@ class BoggleBoard:
     def width(self) -> int:
         '''Getter for width property'''
         return self.__width
+
     @property
     def max_word_len(self) -> int:
         '''Getter for maximum word length property'''
         return self.__max_word_len
+
     @property
-    def board(self) -> dict((int, int), BoardCell):
+    def board(self) -> dict[(int, int), BoardCell]:
         '''Getter for board property'''
         return self.__board
 
@@ -112,16 +134,46 @@ class BoggleBoard:
 
 class WordNode:
     '''A node describing a single letter in a WordTree.'''
-    def __init__(self, char: str, is_word: bool, parent: WordNode = None, children: dict[WordNode] = None, board_pos = None) -> WordNode:
+    def __init__(self, letters: str, is_word: bool = False, parent: WordNode = None,
-        self.char = char
+        children: dict[str, WordNode] = None, board_pos = None) -> WordNode:
-        self.is_word = is_word
+        self.__letters = letters
-        self.children = children if children is not None else {}
+        self.__is_word = is_word
-        self.parent = parent
+        self.__children = children if children is not None else {}
-        self.board_pos = board_pos
+        self.__parent = parent
+        self.__board_pos = board_pos
+
+    @property
+    def letters(self) -> str:
+        '''Getter for letter property'''
+        return self.__letters
+
+    @property
+    def is_word(self) -> bool:
+        '''Getter for is_word property'''
+        return self.__is_word
+
+    @is_word.setter
+    def is_word(self, value):
+        self.__is_word = value
+
+    @property
+    def children(self) -> dict[str, WordNode]:
+        '''Getter for children property'''
+        return self.__children
+
+    @property
+    def parent(self) -> WordNode:
+        '''Getter for parent property'''
+        return self.__parent
+
+    @property
+    def board_pos(self) -> (int, int):
+        '''Getter for board_pos property'''
+        return self.__board_pos
 
     def add_child_node(self, node):
-        '''Add child node to `children` dictionary, indexed by the nodes' `char`'''
+        '''Add child node to `children` dictionary, indexed by the nodes' `letter`'''
-        self.children[node.char] = node
+        self.children[node.letters] = node
 
     @property
     def path(self) -> list[WordNode]:
@@ -135,72 +187,147 @@ class WordNode:
 
         return path
 
+    def get_word(self, board: BoggleBoard) -> str:
+        '''Return word or word fragment based on the WordNode's path property'''
+        return "".join([board.board[x].letters for x in self.path[::-1]])
+
     def __str__(self):
-        # return f"WordNode: {self.char}, {self.is_word}, {self.children}"
+        return f"WordNode: {self.letters}, {self.is_word}, {self.board_pos}"
-        return f"WordNode: {self.char}, {self.is_word}"
 
     def __repr__(self):
-        return self.__str__()
+        return f"WordNode: {self.letters}, {self.is_word}, {self.children}"
 
 class WordTree:
     '''A tree populated by WordNode(s) to complete words from a given root letter and wordlist'''
-    def __init__(self, alphabet: str, root: str, words: list[str] = None, max_word_len = 16) -> WordTree:
+    def __init__(self, alphabet: str, root: WordNode, words: list[str] = None,
-        self.alphabet = alphabet
+        max_word_len = 16) -> WordTree:
-        self.wordlist = words
+        self.__alphabet: str = alphabet
-        self.root = root
+        self.__wordlist: list[str] = words
-        self.max_word_len = max_word_len
+        self.__root: WordNode = root
-        self.tree = {}
+        self.__max_word_len: int = max_word_len
+        self.__tree: dict[str, WordNode] = {}
+        self.__word_paths: dict[str, list[WordNode]] = []
 
         # Generate root node
-        self.tree[root] = WordNode(root, False)
+        self.__tree[root.letters] = root
-        self.active_node: WordNode = self.tree[root]
+        self.active_node: WordNode = self.__tree[root.letters]
 
         # Populate tree from wordlist
         if words is not None:
             for word in words:
                 self.__insert_word(word)
 
+    @property
+    def alphabet(self) -> str:
+        '''Getter for alphabet property'''
+        return self.__alphabet
+
+    @property
+    def wordlist(self) -> list[str]:
+        '''Getter for wordlist property'''
+        return self.__wordlist
+
+    @property
+    def root(self) -> WordNode:
+        '''Getter for root property'''
+        return self.__root
+
+    @property
+    def max_word_len(self) -> int:
+        '''Getter for max_word_len property'''
+        return self.__max_word_len
+
+    @property
+    def tree(self) -> dict[str, WordNode]:
+        '''Getter for tree property'''
+        return self.__tree
+
+    @property
+    def word_paths(self) -> dict[(int, int), WordNode]:
+        '''Getter for leaf_nodes property'''
+        return self.__word_paths
+
+    @word_paths.setter
+    def word_paths(self, value):
+        self.__word_paths = value
 
     def __str__(self):
         return ", ".join(self.wordlist)
 
-    def insert_letter(self, letter: str, parent: WordNode, is_word: bool = False, children: dict[WordNode] = None, board_pos = None):
+    def insert_node(self, letters: str, parent: WordNode, is_word: bool = False,
-        '''Create WordNode for `letter` and into WordTree under `parent`'''
+        children: dict[str, WordNode] = None, board_pos = None):
-        node = WordNode(letter, is_word, parent, children, board_pos)
+        '''Create WordNode for `letters` and into WordTree under `parent`'''
+        node = WordNode(letters, is_word, parent, children, board_pos)
         parent.add_child_node(node)
 
     def __insert_word(self, word: str) -> bool:
-        '''Returns True if word was inserted into the tree, otherwise False'''
+        '''Returns True if the word could be inserted into the tree with the given alphabet,
-        if word is None or word[0] != self.root:
+        otherwise returns False'''
+
+        # Insert root node
+        prefix = word[0:len(self.root.letters)] # prefix = first letter block
+        if word is None or prefix != self.root.letters:
             return False
-        curr_node = self.tree[word[0]]
+        curr_node = self.tree[prefix]
-        # print(word[0])
+        word_len = len(word)
-        for letter in word[1:self.max_word_len]:
+
-            # Insert new WordNode for each letter that doesen't already exist in the tree
+        # Insert remaining nodes as letter groups based on alphabet
-            if letter not in curr_node.children:
+        skip_cnt = 0
-                self.insert_letter(letter, curr_node)
+        for i, letter in enumerate(word[len(prefix):self.max_word_len]):
-                # print(letter)
+            # Skip word letter iterations for length of a previously inserted letter group
+            if skip_cnt > 0:
+                skip_cnt -= 1
+                continue
+
+            try:
+                alpha_index = [x[0] for x in self.alphabet].index(letter)
+            except ValueError: # letters not in given alphabet
+                return False
+
+            # Insert letter (single)
+            if letter == self.alphabet[alpha_index] and letter not in curr_node.children:
+                self.insert_node(letter, curr_node)
                 curr_node = curr_node.children[letter]
-        # Mark the last node of the word
+            # Letter already exists
+            elif letter == self.alphabet[alpha_index]:
+                curr_node = curr_node.children[letter]
+            # Check for letter groups (like "Qu") starting with `letter` in alphabet
+            else:
+                alpha = self.alphabet[alpha_index]
+                # Check that letter group is shorter than and matches in the word remainder
+                if len(alpha) < word_len - i and alpha == word[i+1:i+1+len(alpha)]:
+                    if alpha not in curr_node.children:
+                        self.insert_node(alpha, curr_node)
+                        curr_node = curr_node.children[alpha]
+                    else: # node already exist
+                        curr_node = curr_node.children[alpha]
+
+                    skip_cnt = len(alpha) - 1
+                    #print(f"LONG GROUP: {alpha}; {word}")
+                else:
+                    return False
+
+        # Mark the last node as a word
         curr_node.is_word = len(word) <= self.max_word_len
-        print(f"Added: {word[:self.max_word_len]}")
+        #print(f"Added: {word[:self.max_word_len]}")
         return True
 
-    def search(self, word: str) -> WordNode:
+    def search(self, word: str, curr_node = None) -> WordNode:
-        '''Return True if a given word is in the tree otherwise return False'''
+        '''Return leaf (WordNode) if a given word is in the tree otherwise return None'''
         if len(word) == 0 or word is None:
-            return False
-
-        curr_node = self.tree[word[0]]
-        for char in word[1:]:
-            if char not in curr_node.children:
-                return None
-
-            curr_node = curr_node.children[char]
-
             return curr_node
 
-    def build_boggle_tree(self, board: BoggleBoard, board_cell: BoardCell, subtree: WordTree, depth: int = 0) -> WordTree:
+        if curr_node is None:
+            curr_node = self.root
+        for letters in curr_node.children:
+            if letters == word[len(curr_node.letters):len(curr_node.letters) + len(letters)]:
+                return self.search(word[len(curr_node.letters):], curr_node.children[letters])
+
+        # Currently only returns single path for word
+        # TODO: return all possible paths, maybe create minature WordTree? Or just of list of paths.
+        return curr_node
+
+    def build_boggle_tree(self, board: BoggleBoard, board_cell: BoardCell, subtree: WordTree, depth: int = 1) -> WordTree:
         '''Return subtree of board given a particular root (first letter).
 
         Keyword arguments:
@@ -213,96 +340,84 @@ class WordTree:
         # TODO rework active_node refs for recursion so don't have to be reset to parent at every point of return
         if self.active_node.is_word and len(self.active_node.children) == 0:
             word_path = subtree.active_node.path[::-1]
-            print("WORD FOUND:", "".join([board.board[x].letter for x in word_path]), word_path)
+            subtree.word_paths.append((subtree.active_node.get_word(board), word_path))
+            #print("1: WORD FOUND:", "".join([board.board[x].letters for x in word_path]), word_path)
             self.active_node = self.active_node.parent
             subtree.active_node = subtree.active_node.parent
             return
         elif self.active_node.is_word:
             word_path = subtree.active_node.path[::-1]
-            print("WORD FOUND:", "".join([board.board[x].letter for x in word_path]), word_path)
+            subtree.word_paths.append((subtree.active_node.get_word(board), word_path))
-        elif depth > self.max_word_len:
+            #print("2: WORD FOUND:", "".join([board.board[x].letters for x in word_path]), word_path)
-            print(f"MAX DEPTH REACHED! Depth = {depth}")
+
-            self.active_node = self.active_node.parent
+        if depth >= self.max_word_len or depth >= board.max_word_len:
+            #print(f"MAX DEPTH REACHED! Depth = {depth}")
             subtree.active_node = subtree.active_node.parent
+            self.active_node = self.active_node.parent
             return
 
         # Branch for each adjacent board cell
         for cell in board_cell.adjacent_cells:
             # Check dictionary and exclude nodes already in path
-            print("Cell:", cell.letter, cell.pos, subtree.active_node.path)
+            if cell.letters in self.active_node.children and cell.pos not in subtree.active_node.path:
-            if cell.letter in self.active_node.children and cell.pos not in subtree.active_node.path:
+                new_node = WordNode(cell.letters, self.active_node.is_word, subtree.active_node, board_pos = cell.pos)
-                # print(cell)
-                print(self.active_node)
-                #subtree.insert_letter(cell.letter, subtree.active_node, self.active_node.is_word, board_pos=cell.pos)
-                new_node = WordNode(cell.letter, self.active_node.is_word, subtree.active_node, board_pos = cell.pos)
                 subtree.active_node.add_child_node(new_node)
-                subtree.active_node = subtree.active_node.children[cell.letter] # update subtree pointer
+                subtree.active_node = subtree.active_node.children[cell.letters] # update subtree pointer
-                self.active_node = self.active_node.children[cell.letter] # update dictionary tree pointer
+                self.active_node = self.active_node.children[cell.letters] # update dictionary tree pointer
-                self.build_boggle_tree(board, board.board[cell.pos], subtree)
+                self.build_boggle_tree(board, board.board[cell.pos], subtree, depth=depth+1)
-
+                #print(f"depth: {depth}")
-        print(f"DONE SEARCHING at {subtree.active_node}")
 
         self.active_node = self.active_node.parent
         subtree.active_node = subtree.active_node.parent
         return subtree
 
+def build_boggle_tree(args):
+    '''Build boggle tree from arguments for process Pool'''
+    (alphabet, board, cell, wordlist) = args
+    root_node = WordNode(cell.letters)
+    dict_tree = WordTree(alphabet, root_node, wordlist)
+    sub_tree = WordTree(alphabet, WordNode(cell.letters, False, board_pos=cell.pos))
+    return dict_tree.build_boggle_tree(board, cell, sub_tree)
+
+def build_full_boggle_tree(board: BoggleBoard, wordlist_path: str) -> dict[str, WordTree]:
+    '''Return dictionary of WordTree(s) for every letter on a BoggleBoard'''
+    alphabet = sorted(set([cell.letters for cell in board.board.values()]))
+    board_tree = {}
+    index = {}
+
+    print("Reading in wordlists...")
+    for letter in alphabet:
+        filename = "words_" + letter[0] + ".txt"
+        print(f">> {letter}: {filename}")
+        wordlist = read_wordlist(path.join(path.abspath(wordlist_path), filename))
+        index[letter] = wordlist
+
+    print("Generating WordTrees...")
+    params = [ [alphabet, board, cell, index[cell.letters] ]  for cell in board.board.values()]
+    with Pool(processes=len(board.board)) as pool:
+        for i, res in enumerate(pool.map(build_boggle_tree, params)):
+            board_tree[params[i][2].pos] = res
+
+    return board_tree
+
 def read_wordlist(file):
     '''Return dictionary of words with associated word count (1 by default)'''
     with open(file, 'r', encoding='utf-8') as file:
         return {k:1 for k in file.read().split()}
 
+def read_boggle_file(file):
+    '''Return list of rows from Boggle board csv file'''
+    with open(file, 'r', encoding='utf-8') as file:
+        return [x.rstrip().split(',') for x in file.readlines()]
 
 if __name__ == "__main__":
-    # sample_dict = [
+    #b2 = read_boggle_file(sys.argv[1])
-    #     'aero',
+    b2 = read_boggle_file("boards/b1.csv")
-    #     'anger',
-    #     'ant',
-    #     'ape',
-    #     'argue',
-    #     'ash',
-    #     'assuage',
-    #     'aunt',
-    #     'auspice',
-    #     'bigger',
-    #     'bit',
-    #     'bite',
-    #     'biter',
-    #     'cart',
-    #     'cast',
-    # ]
-
-    sample_dict = read_wordlist("wordlists/dwyl/words_a.txt")
-
-    tree = WordTree("abcdefghijklmnopqrstuvwxyz", "a", sample_dict)
-    n1 = tree.search('anger')
-    #print(n1.path)
-    #print(tree.search('argues'))
-    print("=" * 50)
-
-    b1 = [
-        "aucd",
-        "eegh",
-        "hios",
-        "trea"
-    ]
-
-    b2 = [
-        "iats",
-        "osep",
-        "tras",
-        "yegc"
-    ]
-
-    b1_board = BoggleBoard(b1)
     b2_board = BoggleBoard(b2)
+    boggle_tree = build_full_boggle_tree(b2_board, "wordlists/dwyl")
+    print("\nBOARD")
+    print(b2_board)
 
-    b1_tree = WordTree("abcdefghijklmnopqrstuvwxyz", "a")
+    w1 = boggle_tree[(0,0)].word_paths
-    b1_tree.tree["a"].board_pos = (3,3)
+    for w in w1:
-
+        print(f"{w[0]: <{b2_board.max_word_len}}: {w[1]}")
-    b2_tree = WordTree("abcdefghijklmnopqrstuvwxyz", "a")
-    b2_tree.tree["a"].board_pos = (0,1)
-
-    #sub_tree = tree.build_boggle_tree(b1_board, b1_board.board[(0,0)], b1_tree)
-    sub_tree = tree.build_boggle_tree(b2_board, b2_board.board[(2,2)], b2_tree)
-    #sub_tree = tree.build_board_sub_tree(b1_board, b1_board.board[(3, 3)])
-    #print(sub_tree.search("anger"))

dice_4x4.csv

@@ -1,5 +1,4 @@
-front,right,back,left,top,bottom (start with 'one of' the first alphabetical chars
+# front,right,back,left,top,bottom (start with 'one of' the first alphabetical chars
------------
 a,h,s,p,o,c
 e,r,l,i,x,d
 a,g,a,e,e,a