48 lines
No EOL
1.6 KiB
Python
48 lines
No EOL
1.6 KiB
Python
import numpy as np
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import math
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class Node:
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def __init__(self, tuple, word, words, infertile):
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self.tuple = tuple
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self.children = []
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self.word = word
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self.infertile = infertile
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words[str(word)] = self
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def dc_not_too_big(self, g, generator, dual_curvature):
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temp = np.matmul(generator, self.tuple)
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if g <= 6:
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temp = [temp[i] for i in (g%7, (g+1)%7, 7)]
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else:
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temp = [temp[i] for i in (g%7, (g+1)%7, 8)]
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return math.sqrt(temp[0]*temp[1] + temp[0]*temp[2] + temp[1]*temp[2]) < dual_curvature
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def next_generation(self, words, dual_curvature, generators):
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if self.infertile:
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return [self]
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if self.children == []:
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for g,generator in enumerate(generators):
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if len(self.word) == 0 or g != self.word[-1]:
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self.children.append(Node(np.matmul(generator,self.tuple), self.word[:] + [g], words, not self.dc_not_too_big(g, generator, dual_curvature)))
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if self.children == []:
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return [self]
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else:
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return self.children
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def next(self):
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if self.children == []:
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return [self]
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else:
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return self.children
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def leaves(self):
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current_leaves = [self]
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while True:
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new_leaves = []
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for leaf in current_leaves:
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new_leaves += leaf.next()
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if current_leaves == new_leaves:
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break
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else:
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current_leaves = new_leaves
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return current_leaves |