add fancy data crunching function and help menu
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39
prob.py
39
prob.py
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@ -1,8 +1,3 @@
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import pickle
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fd = open("wordlist", "r")
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words = [i.rstrip() for i in fd.readlines()]
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print(words)
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def generateOutput(inputword, correct):
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res = [0, 0, 0, 0, 0]
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for i in range(len(inputword)):
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@ -22,15 +17,29 @@ def probs(dataset):
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res[i] = 1
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return res
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data = {}
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def dist(dataset):
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buf = []
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for i in dataset:
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tot = 0
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nums = 0
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for j in dataset[i]:
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tot += dataset[i][j]
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nums += 1
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buf.append([i, tot / nums])
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buf.sort(key = lambda x: x[1])
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for i in words:
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data[i] = None
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cache = []
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for j in words:
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cache.append(generateOutput(i, j))
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print("cached {} {}".format(i, j))
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data[i] = probs(cache)
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return buf
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fdtwo = open("dataoutput", "wb")
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pickle.dump(data, fdtwo)
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def runtime(dataset):
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return len(dataset) * len(dataset)
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def main(words):
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data = {}
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for i in words:
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cache = []
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for j in words:
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cache.append(generateOutput(i, j))
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data[i] = probs(cache)
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return dist(data)
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17
solver.py
17
solver.py
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@ -1,5 +1,7 @@
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#!/usr/bin/python3
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import prob
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words = [i.rstrip() for i in open("wordlist", "r").readlines()]
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nocontain = []
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@ -58,6 +60,21 @@ while True:
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words = buf
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elif line.split(' ')[0] == "listbuffers":
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print(nocontain, contains, defcontains)
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elif line.split(' ')[0] == "probmodel":
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tmp = prob.main(words)
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tmp.reverse()
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print(tmp)
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elif line.split(' ')[0] == "probruntime":
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print(prob.runtime(words))
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elif line.split(' ')[0] == "words":
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print(words)
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elif line.split(' ')[0] == "help":
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print("welcome to wordlefish, a 'engine' for wordle")
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print("add - add pattern")
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print("reduce - apply pattern filter")
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print("listbuffers - list filters in buffers")
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print("probmodel - output ordered arr based on expensive dist model")
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print("probruntime - return iterations of probmodel")
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print("words - list words in consideration")
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print("help - this")
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