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@ -0,0 +1 @@
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@ -0,0 +1,20 @@
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Uldreyin
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Narbeth
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Alluin
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Evindal
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Kesefeon
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Oncith
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Uevareth
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Galaeron
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Abarat
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Elorshin
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Estelar
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Cailu
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Haldir
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Vulred
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Ivaran
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Ailen
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Hagre
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Nelaeryn
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Sythaeryn
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Ryfon
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@ -0,0 +1,14 @@
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A lightweight python machine-learning script for generating fantasy names
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Installation guide:
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1) Install Python3 with random and csv modules on your computer
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2) Download the contents of this repo into any folder on your computer
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3) Replace the names in names.csv with the sample names of your choice
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4) Empty all contents from nameprob.csv
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[OPTIONNAL] 5) Open namegen.py in any text editor and change the value of race_name to your desired race's name (between '')
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Usage guide:
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1) Start a python instance and naviguate to the folder where the files are located
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2) Run the script
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@ -0,0 +1,186 @@
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import csv
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from random import *
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global letter_count
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letter_count = 0
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race_name = 'elf'
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class letter():
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# Each letter has a lowercase and an uppercase character and
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# identifiers as a vowel or consonant
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def __init__(self, lowerchar, upperchar, is_vowel, is_consonant):
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global letter_count
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self.upperchar = upperchar
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self.lowerchar = lowerchar
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self.is_vowel = is_vowel
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self.is_consonant = is_consonant
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self.num = letter_count
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letter_count += 1
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def normalize(prob):
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global alphabet
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new_prob = prob
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for i in range(0,len(alphabet)):
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total = 0
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for j in range(0,len(alphabet)):
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total+=prob[i][j]
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if (total > 0):
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for j in range(0,len(alphabet)):
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new_prob[i][j] = prob[i][j]/total
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else:
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for j in range(0,len(alphabet)):
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new_prob[i][j] = len(alphabet)**(-1)
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return new_prob
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# Define the alphabet
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global alphabet
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alphabet = [letter('a','A',True,False),
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letter('b','B',False,True),
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letter('c','C',False,True),
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letter('d','D',False,True),
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letter('e','E',True,False),
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letter('f','F',False,True),
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letter('g','G',False,True),
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letter('h','H',False,True),
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letter('i','I',True,False),
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letter('j','J',False,True),
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letter('k','K',False,True),
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letter('l','L',False,True),
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letter('m','M',False,True),
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letter('n','N',False,True),
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letter('o','O',True,False),
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letter('p','P',False,True),
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letter('q','Q',False,True),
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letter('r','R',False,True),
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letter('s','S',False,True),
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letter('t','T',False,True),
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letter('u','U',True,False),
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letter('v','V',False,True),
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letter('w','W',False,True),
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letter('x','X',False,True),
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letter('y','Y',True,True),
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letter('z','Z',False,True )
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]
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# Initialize probability matrix
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# prob[i][j] = probability of letter j after letter i
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global prob
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file_name = 'default prob.csv' # should initialize to all 0s
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prob = []
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with open(file_name,newline='') as csvfile:
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prob_reader = csv.reader(csvfile, delimiter=',', quotechar='|')
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for row in prob_reader:
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prob.append([])
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for num in row:
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prob[len(prob)-1].append(float(num))
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# read list of pre-generated names. Names should be stored one per linein file
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file_name = 'names.csv'
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with open(file_name, newline='') as csvfile:
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name_reader = csv.reader(csvfile, delimiter=',', quotechar='|') # Record file content
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for names in name_reader: # Loop over names in list
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name = names[0]
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# Loop over letters in the current name
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for i in range(0,len(name)-1):
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letter1 = name[i]
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letter2 = name[i+1]
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num1 = 0
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num2 = 0
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for i in range(0, len(alphabet)):
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if letter1 == alphabet[i].lowerchar or letter1 == alphabet[i].upperchar:
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num1 = alphabet[i].num
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if letter2 == alphabet[i]. lowerchar or letter2 == alphabet[i].upperchar:
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num2 = alphabet[i].num
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# Add one to the number of times letter number i is followed by letter number i
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prob[num1][num2] += 1
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# Normalize the probability matrix
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prob = normalize(prob)
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#Write probability matrix to file. This file will be read by the generator
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file_name = 'nameprob.csv'
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with open(file_name, 'w', newline='') as csvfile:
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prob_writer = csv.writer(csvfile,delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
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for i in range(0,len(alphabet)):
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prob_writer.writerow(prob[i])
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def rand_int(x1,x2):
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# Generate random integer number between x1 and x2
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r = int( int(x1) + random()* (int(x2)-int(x1)) )
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return r
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def make_name():
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# Determine name length
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lmin = 3 # Minimum length
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lmax = 10 # Maximum length
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name_length = rand_int(lmin,lmax)
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# Initialize string
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my_name = ""
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my_name_nums = []
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prev_vowel = False # Was the previous letter a vowel
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prev_consonant = False # Was it a consonant
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prev2_vowel = False # Were the 2 prev vowels
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prev2_consonant = False # Were the 2 prev consonants
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prev_num = 0
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# Generate letters for name
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for i in range(0, name_length):
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if i == 0:
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a = alphabet[rand_int(0,25)]
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my_name = my_name + a.upperchar
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else:
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a = get_letter(prev_num,prev2_vowel,prev2_consonant)
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my_name = my_name + a.lowerchar
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prev2_vowel = a.is_vowel and prev_vowel
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prev2_consonant = a.is_consonant and prev_consonant
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prev_vowel = a.is_vowel
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prev_consonant = a.is_consonant
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prev_num = a.num
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my_name_nums.append(a.num)
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return [my_name, my_name_nums]
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def get_letter(prev_num,need_consonant,need_vowel):
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global alphabet
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# Generate a random letter
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done = False
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while not done:
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a = pick_letter(prev_num)
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if (need_consonant and a.is_vowel) or (need_vowel and a.is_consonant):
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done = False
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else:
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done = True
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return a
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def pick_letter(i):
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global prob
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r = random()
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total = 0
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for j in range(0,len(alphabet)):
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total += prob[i][j]
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if r <= total or j == len(alphabet):
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return alphabet[j]
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print("problem!")
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return alphabet(25)
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# Generate and print a name
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name1 = make_name()
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print(name1[0])
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# Quality assessment
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input_string = "Was this a good "+race_name+" name ? y/n "
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good = input(input_string)
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if good == 'y':
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for i in range(0,len(name1[1])-1):
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prob[name1[1][i]][name1[1][i+1]] *= 1.01
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if good == 'n':
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for i in range(0,len(name1[1])-1):
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prob[name1[1][i]][name1[1][i+1]] *= 0.99
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prob = normalize(prob)
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with open(file_name, 'w', newline='') as csvfile:
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prob_writer = csv.writer(csvfile, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL)
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for i in range(0, len(alphabet)):
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prob_writer.writerow(prob[i])
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@ -0,0 +1,26 @@
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0.03486529318541998,0.007923930269413631,0.01267828843106181,0.01743264659270999,0.12202852614896992,0.006339144215530905,0.0047543581616481785,0.007923930269413631,0.02060221870047544,0.0031695721077654527,0.01267828843106181,0.1283676703645008,0.03486529318541998,0.16006339144215534,0.01267828843106181,0.0047543581616481785,0.0015847860538827263,0.2408874801901744,0.05546751188589542,0.05863708399366087,0.03328050713153725,0.014263074484944537,0.0,0.0015847860538827263,0.0015847860538827263,0.0015847860538827263
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0.24324324324324326,0.02702702702702703,0.0,0.0,0.1891891891891892,0.0,0.0,0.05405405405405406,0.08108108108108109,0.0,0.0,0.02702702702702703,0.0,0.0,0.02702702702702703,0.0,0.0,0.24324324324324326,0.0,0.0,0.02702702702702703,0.0,0.0,0.0,0.08108108108108109,0.0
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0.15384615384615385,0.0,0.02564102564102564,0.0,0.05128205128205128,0.0,0.0,0.41025641025641024,0.10256410256410256,0.0,0.0,0.05128205128205128,0.0,0.0,0.15384615384615385,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.05128205128205128,0.0
|
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0.33884297520661155,0.0,0.0,0.04132231404958678,0.14049586776859505,0.0,0.0,0.01652892561983471,0.05785123966942149,0.0,0.0,0.0,0.0,0.0,0.0743801652892562,0.0,0.0,0.2066115702479339,0.0,0.0,0.049586776859504134,0.0,0.008264462809917356,0.0,0.06611570247933884,0.0
|
||||
0.027491408934707903,0.0,0.0,0.024054982817869417,0.0,0.006872852233676976,0.006872852233676976,0.020618556701030927,0.037800687285223365,0.0,0.0,0.3127147766323024,0.013745704467353952,0.10996563573883161,0.010309278350515464,0.006872852233676976,0.0,0.23711340206185566,0.054982817869415807,0.058419243986254296,0.01718213058419244,0.044673539518900345,0.003436426116838488,0.0,0.006872852233676976,0.0
|
||||
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||||
0.4117647058823529,0.0,0.0,0.0,0.029411764705882353,0.0,0.0,0.029411764705882353,0.08823529411764706,0.0,0.0,0.17647058823529413,0.0,0.0,0.11764705882352941,0.0,0.0,0.058823529411764705,0.0,0.0,0.029411764705882353,0.0,0.0,0.0,0.058823529411764705,0.0
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||||
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||||
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0.24528301886792453,0.0,0.0,0.0,0.11320754716981132,0.0,0.0,0.22641509433962265,0.07547169811320754,0.0,0.018867924528301886,0.05660377358490566,0.0,0.0,0.05660377358490566,0.0,0.0,0.05660377358490566,0.0,0.018867924528301886,0.05660377358490566,0.0,0.0,0.0,0.07547169811320754,0.0
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0.3333333333333333,0.016666666666666666,0.006666666666666667,0.04666666666666667,0.06,0.0033333333333333335,0.01,0.013333333333333334,0.11333333333333333,0.0,0.0033333333333333335,0.08666666666666667,0.016666666666666666,0.013333333333333334,0.07666666666666666,0.02,0.0,0.013333333333333334,0.016666666666666666,0.03,0.043333333333333335,0.02666666666666667,0.0,0.0,0.05,0.0
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0.28571428571428575,0.08333333333333334,0.0,0.0,0.08333333333333334,0.0,0.0,0.023809523809523815,0.130952380952381,0.0,0.011904761904761908,0.023809523809523815,0.03571428571428572,0.04761904761904763,0.08333333333333334,0.0,0.0,0.04761904761904763,0.023809523809523815,0.0,0.011904761904761908,0.0,0.0,0.0,0.10714285714285716,0.0
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0.2844036697247707,0.0,0.013761467889908261,0.21100917431192667,0.055045871559633044,0.004587155963302753,0.018348623853211014,0.009174311926605507,0.06422018348623855,0.009174311926605507,0.0,0.018348623853211014,0.0,0.0688073394495413,0.04587155963302753,0.0,0.0,0.004587155963302753,0.022935779816513766,0.09174311926605506,0.009174311926605507,0.004587155963302753,0.0,0.0,0.06422018348623855,0.0
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0.03571428571428572,0.0,0.010204081632653062,0.005102040816326531,0.025510204081632657,0.0,0.0,0.015306122448979593,0.005102040816326531,0.005102040816326531,0.005102040816326531,0.09183673469387757,0.025510204081632657,0.22448979591836737,0.010204081632653062,0.005102040816326531,0.0,0.326530612244898,0.09693877551020409,0.08673469387755103,0.015306122448979593,0.0,0.0,0.005102040816326531,0.0,0.005102040816326531
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0.2222222222222222,0.0,0.0,0.0,0.08333333333333333,0.0,0.0,0.2777777777777778,0.08333333333333333,0.0,0.0,0.027777777777777776,0.0,0.0,0.027777777777777776,0.05555555555555555,0.0,0.027777777777777776,0.0,0.027777777777777776,0.05555555555555555,0.0,0.0,0.0,0.1111111111111111,0.0
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0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.2,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6,0.0,0.0,0.0,0.0,0.0
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||||
0.21629213483146073,0.005617977528089888,0.002808988764044944,0.03932584269662922,0.08146067415730339,0.005617977528089888,0.011235955056179777,0.028089887640449444,0.16011235955056183,0.0,0.008426966292134833,0.03370786516853933,0.014044943820224722,0.053370786516853945,0.09831460674157307,0.005617977528089888,0.0,0.03932584269662922,0.014044943820224722,0.04494382022471911,0.03370786516853933,0.0,0.002808988764044944,0.0,0.101123595505618,0.0
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||||
0.21052631578947367,0.0,0.03007518796992481,0.0,0.06015037593984962,0.0,0.0,0.13533834586466165,0.12781954887218044,0.0,0.045112781954887216,0.015037593984962405,0.0,0.0,0.03759398496240601,0.03759398496240601,0.0,0.022556390977443608,0.09022556390977443,0.11278195488721804,0.03007518796992481,0.0,0.0,0.007518796992481203,0.03759398496240601,0.0
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||||
0.23684210526315788,0.0,0.0,0.0,0.05263157894736842,0.0,0.0,0.5657894736842105,0.008771929824561403,0.0,0.0,0.008771929824561403,0.0,0.0,0.03070175438596491,0.0,0.0,0.05263157894736842,0.008771929824561403,0.021929824561403508,0.0,0.0,0.0,0.0,0.013157894736842105,0.0
|
||||
0.058823529411764705,0.029411764705882353,0.0196078431372549,0.0196078431372549,0.0392156862745098,0.0196078431372549,0.0,0.00980392156862745,0.0784313725490196,0.0,0.0,0.08823529411764706,0.0392156862745098,0.10784313725490197,0.00980392156862745,0.00980392156862745,0.0,0.1568627450980392,0.0784313725490196,0.10784313725490197,0.00980392156862745,0.09803921568627451,0.0,0.0,0.0196078431372549,0.0
|
||||
0.27142857142857146,0.0,0.0,0.0,0.28571428571428575,0.0,0.0,0.08571428571428573,0.10000000000000002,0.0,0.0,0.014285714285714287,0.0,0.0,0.1142857142857143,0.0,0.0,0.014285714285714287,0.0,0.0,0.0,0.042857142857142864,0.0,0.0,0.07142857142857144,0.0
|
||||
0.16666666666666666,0.0,0.0,0.0,0.08333333333333333,0.0,0.0,0.0,0.08333333333333333,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.6666666666666666,0.0
|
||||
0.375,0.0,0.0,0.0,0.0,0.125,0.0,0.375,0.125,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
|
||||
0.026845637583892617,0.0,0.006711409395973154,0.013422818791946308,0.006711409395973154,0.020134228187919462,0.0,0.006711409395973154,0.0,0.0,0.013422818791946308,0.1476510067114094,0.11409395973154363,0.2550335570469799,0.013422818791946308,0.0,0.006711409395973154,0.20134228187919462,0.040268456375838924,0.06040268456375839,0.020134228187919462,0.026845637583892617,0.006711409395973154,0.006711409395973154,0.006711409395973154,0.0
|
||||
0.5454545454545454,0.0,0.0,0.0,0.18181818181818182,0.0,0.0,0.09090909090909091,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.09090909090909091,0.0,0.0,0.0,0.0,0.09090909090909091
|
|
|
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Reference in New Issue