113 lines
3.2 KiB
Python
113 lines
3.2 KiB
Python
from ...core.tree import MutableTree, Tree
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from .grammar import extract_letters, eval_words
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from .generate import random_generator
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from .str2 import rdstr2
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class RandomTree(MutableTree):
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""" MutableTree that accept {a} syntax for random generation
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:example:
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>>> t = RandomTree()
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>>> type(t)
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<class 'mapytex.calculus.random.core.random_tree.RandomTree'>
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"""
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@classmethod
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def from_str(cls, expression):
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""" Initiate a random tree from a string that need to be parsed
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:exemple:
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>>> t = RandomTree.from_str("{b}*x+{c}")
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>>> print(t)
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+
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> *
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| > {b}
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| > x
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> {c}
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>>> t = RandomTree.from_str("{a}*({b}*x+{c})")
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>>> print(t)
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*
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> {a}
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> +
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| > *
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| | > {b}
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| | > x
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| > {c}
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"""
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str_2_mut_tree = rdstr2(cls.sink)
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return str_2_mut_tree(expression)
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@property
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def random_leaves(self) -> list[str]:
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""" Get list of random leaves
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:example:
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>>> from .leaf import RdLeaf
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>>> random_tree = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
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>>> random_tree.random_leaves
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['a', 'a*k']
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>>> random_tree = RandomTree("+", RdLeaf("a"), 2)
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>>> random_tree.random_leaves
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['a']
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"""
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rd_leafs = []
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for leaf in self.get_leafs():
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try:
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leaf.rdleaf
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except AttributeError:
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pass
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else:
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rd_leafs.append(leaf.name)
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return rd_leafs
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@property
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def random_value(self) -> set[str]:
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""" Get set of random values to generate
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:example:
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>>> from .leaf import RdLeaf
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>>> random_tree = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
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>>> random_tree.random_value == {'a', 'k'}
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True
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>>> random_tree = RandomTree("+", RdLeaf("a"), 2)
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>>> random_tree.random_value
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{'a'}
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"""
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return extract_letters(self.random_leaves)
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def eval_random_leaves(self, leaves_value:dict[str, int]):
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""" Given random leaves value get the tree
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:example:
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>>> from .leaf import RdLeaf
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>>> rd_t = RandomTree("+", RdLeaf("a"), RdLeaf("a*k"))
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>>> leaves_values = {'a': 2, 'a*k': 6}
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>>> t = rd_t.eval_random_leaves(leaves_values)
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>>> type(t)
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<class 'mapytex.calculus.core.tree.Tree'>
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>>> print(t)
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+
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> 2
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> 6
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"""
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def replace(leaf):
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try:
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return leaf.replace(leaves_value)
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except AttributeError:
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return leaf
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return self.map_on_leaf(replace)
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def generate(self, conditions:list[str]=[], config:dict={} , configs:dict={}) -> Tree:
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""" Generate a random version of self
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:param conditions: list of conditions
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:param config: global configuration for generated values
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:param configs: specific configuration for each generated values
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"""
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generated_values = random_generator(self.random_values, config, configs)
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leaves = eval_words(self.random_leaves, generated_values)
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return self.eval_random_leaves(leaves)
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