#! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © 2017 lafrite # # Distributed under terms of the MIT license. """ Expression """ from ..core import AssocialTree, Tree, compute, typing, TypingError from ..core.random import extract_rdleaf, extract_rv, random_generator, compute_leafs, replace_rdleaf from ..core.MO import moify from .tokens import factory from .renders import renders class Expression(object): """ Expression class :example: >>> e = Expression.from_str("2+3*4") >>> e2 = e.simplify() >>> print(e2) 14 >>> for s in e2.explain(): ... print(s) 2 + 3 * 4 2 + 12 14 """ RENDER = "txt" def __init__(self, tree, ancestor=None): """ """ self._tree = tree self._ancestor = ancestor @classmethod def from_str(cls, string, typing=True): """ Initiate the expression from a string :param string: String to parse to generate the Expression :returns: the expression :example: >>> e = Expression.from_str("2 + 3 * 4") >>> e >>> e = Expression.from_str("2/3") >>> e >>> e = Expression.from_str("2x + 1") >>> e >>> e = Expression.from_str("2x + 1 + 5x^2") >>> e >>> e = Expression.from_str("2x + 1 + 5x") >>> e """ t = Tree.from_str(string) if typing: return cls._post_precessing(t) return cls(t) @classmethod def random( cls, template, conditions=[], rejected=[0], min_max=(-10, 10), variables_scope={}, shuffle=False, ): """ Initiate randomly the expression :param template: the template of the expression :param conditions: conditions on randomly generate variable :param rejected: Values to reject for all random variables :param min_max: Min and max value for all random variables :param variables_scope: Dictionnary for each random varaibles to fic rejected and min_max :param shuffle: allowing to shuffle the tree :returns: TODO :example: >>> Expression.random("{a}/{a*k}") # doctest: +SKIP >>> Expression.random("{a}/{a*k} - 3*{b}", variables_scope={'a':{'min_max':(10, 30)}}) # doctest +SKIP """ rd_t = Tree.from_str(template, random=True) leafs = extract_rdleaf(rd_t) rd_varia = extract_rv(leafs) generated = random_generator( rd_varia, conditions, rejected, min_max, variables_scope ) computed = compute_leafs(leafs, generated) t = replace_rdleaf(rd_t, computed).map_on_leaf(moify) t = cls._post_precessing(t) if shuffle: raise NotImplemented("Can't suffle expression yet") return cls(t) @classmethod def _post_precessing(cls, t): """ Post process the tree by typing it """ tt = cls(t)._typing() try: return factory(tt) except TypeError as e: return cls(t) @classmethod def set_render(cls, render): """ Define default render function :param render: render function Tree -> str :example: >>> Expression.RENDER 'txt' >>> e = Expression.from_str("2+3*4") >>> print(e) 2 + 3 * 4 >>> Expression.set_render('tex') >>> Expression.RENDER 'tex' >>> print(e) 2 + 3 \\times 4 >>> Expression.set_render('txt') """ cls.RENDER = render def __str__(self): return renders[self.RENDER](self._tree) def __repr__(self): return f"" def _order(self, exclude_nodes=["*", "/", "**"]): """ Order the expression base on types :example: >>> e = Expression.from_str("1 + 2x + 3 + 4x") >>> print(e) 1 + 2x + 3 + 4x >>> #print(e._order()) 1 + 3 + 2x + 4x >>> e = Expression.from_str("x + 6x^3 + 1 + 2x^2 + 3 + 4x^2 + 5x") >>> print(e._order()) x + 5x + 6x^3 + 2x^2 + 4x^2 + 1 + 3 """ def signature(leaf): try: leaf.node except AttributeError: try: return leaf.signature except AttributeError: return type(leaf) else: try: typed_leaf = typing(leaf.node, leaf.left_value, leaf.right_value) return typed_leaf.signature except (AttributeError, NotImplementedError, TypingError): return type(leaf) try: self._tree.node except AttributeError: return self organised = AssocialTree.from_any_tree(self._tree).organise_by( signature, recursive=True, exclude_nodes=exclude_nodes ) return Expression(organised) def _optimize(self, exclude_nodes=["/", "**"]): """ Return a copy of self with an optimize tree :example: >>> e = Expression.from_str("2x^2+2x+3x") >>> print(e._tree) + > + | > * | | > 2 | | > ^ | | | > x | | | > 2 | > * | | > 2 | | > x > * | > 3 | > x >>> print(e._optimize()._tree) + > * | > 2 | > ^ | | > x | | > 2 > + | > * | | > 2 | | > x | > * | | > 3 | | > x """ try: # TODO: need to test exclude_nodes |ven. oct. 5 08:51:02 CEST 2018 return Expression(self._tree.balance(exclude_nodes=exclude_nodes)) except AttributeError: return self def _typing(self): """ Build a copy of self with as much typing as possible :example: >>> e = Expression.from_str("2x", typing=False) >>> print(e._tree.map_on_leaf(lambda x: type(x).__name__)) * > MOnumber > MOstr >>> typed_e = e._typing() >>> print(type(typed_e._tree)) >>> typed_e = e._typing() >>> print(type(typed_e._tree)) >>> e = Expression.from_str("2x+3+4/5", typing=False) >>> print(e._tree.map_on_leaf(lambda x: type(x).__name__)) + > + | > * | | > MOnumber | | > MOstr | > MOnumber > / | > MOnumber | > MOnumber >>> typed_e = e._typing() >>> print(e._tree.map_on_leaf(lambda x: type(x).__name__)) + > + | > * | | > MOnumber | | > MOstr | > MOnumber > / | > MOnumber | > MOnumber """ try: return Expression(self._tree.apply(typing)) except AttributeError: return self def _compute(self): """" Compute one step of self """ try: return Expression(self._tree.apply_on_last_level(compute)) except AttributeError: return self def set_ancestor(self, ancestor): """ Set ancestor """ self._ancestor = ancestor def _simplify(self, optimize=True): """ Compute as much as possible the expression :param optimize: bool to optimize tree when it's possible :return: an expression :example: >>> e = Expression.from_str("2+3*4") >>> e >>> f = e._simplify() >>> f >>> f._ancestor """ typed_exp = self._typing() if optimize: organized_exp = typed_exp._order() opt_exp = organized_exp._optimize() else: opt_exp = typed_exp comp_exp = opt_exp._compute() if typed_exp == comp_exp: typed_exp.set_ancestor(self._ancestor) return typed_exp else: comp_exp.set_ancestor(self) return comp_exp._simplify(optimize=optimize) def simplify(self, optimize=True): """ Compute as much as possible the expression :param optimize: bool to optimize tree when it's possible :return: an expression :example: >>> e = Expression.from_str("2+3*4") >>> e >>> f = e.simplify() >>> f >>> f._ancestor """ self._child = self._simplify(optimize=optimize) return factory(self._child, ancestor=self._child._ancestor) def explain(self): """ Yield every calculus step which have lead to self :example: >>> e = Expression.from_str("2+3*4") >>> f = e.simplify() >>> for s in f.explain(): ... print(s) 2 + 3 * 4 2 + 12 14 >>> e = Expression.from_str("1+2+3+4+5+6+7+8+9") >>> f = e.simplify() >>> for s in f.explain(): ... print(s) 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 3 + 7 + 11 + 7 + 17 10 + 11 + 24 10 + 35 45 >>> e = Expression.from_str("1+2+3+4+5+6+7+8+9") >>> f_no_balance = e.simplify(optimize=False) >>> for s in f_no_balance.explain(): ... print(s) 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 3 + 3 + 4 + 5 + 6 + 7 + 8 + 9 6 + 4 + 5 + 6 + 7 + 8 + 9 10 + 5 + 6 + 7 + 8 + 9 15 + 6 + 7 + 8 + 9 21 + 7 + 8 + 9 28 + 8 + 9 36 + 9 45 >>> e = Expression.from_str("1+2+3+4+5*6*7*8*9") >>> f = e.simplify() >>> for s in f.explain(): ... print(s) 1 + 2 + 3 + 4 + 5 * 6 * 7 * 8 * 9 3 + 7 + 30 * 7 * 72 10 + 210 * 72 10 + 15120 15130 >>> e = Expression.from_str("1+2+3+4+5*6*7*8*9") >>> f_no_balance = e.simplify(optimize=False) >>> for s in f_no_balance.explain(): ... print(s) 1 + 2 + 3 + 4 + 5 * 6 * 7 * 8 * 9 3 + 3 + 4 + 30 * 7 * 8 * 9 6 + 4 + 210 * 8 * 9 10 + 1680 * 9 10 + 15120 15130 >>> e = Expression.from_str("1+2/3/4/5") >>> f = e.simplify() >>> for s in f.explain(): ... print(s) 1 + 2 / 3 / 4 / 5 1 + (2 / 3 * 1 / 4) / 5 1 + (2 * 1) / (3 * 4) / 5 1 + 2 / 12 / 5 1 + 2 / 12 * 1 / 5 1 + (2 * 1) / (12 * 5) 1 + 2 / 60 1 / 1 + 2 / 60 (1 * 60) / (1 * 60) + 2 / 60 60 / 60 + 2 / 60 (60 + 2) / 60 62 / 60 """ try: yield from self._ancestor.explain() except AttributeError: yield self else: yield self # 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