linpy/linexprs.py

   1 # Copyright 2014 MINES ParisTech
   2 #
   3 # This file is part of LinPy.
   4 #
   5 # LinPy is free software: you can redistribute it and/or modify
   6 # it under the terms of the GNU General Public License as published by
   7 # the Free Software Foundation, either version 3 of the License, or
   8 # (at your option) any later version.
   9 #
  10 # LinPy is distributed in the hope that it will be useful,
  11 # but WITHOUT ANY WARRANTY; without even the implied warranty of
  12 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  13 # GNU General Public License for more details.
  14 #
  15 # You should have received a copy of the GNU General Public License
  16 # along with LinPy.  If not, see <http://www.gnu.org/licenses/>.
  17
  18 import ast
  19 import functools
  20 import numbers
  21 import re
  22
  23 from collections import OrderedDict, defaultdict, Mapping
  24 from fractions import Fraction, gcd
  25
  26
  27 __all__ = [
  28     'LinExpr',
  29     'Symbol', 'Dummy', 'symbols',
  30     'Rational',
  31 ]
  32
  33
  34 def _polymorphic(func):
  35     @functools.wraps(func)
  36     def wrapper(left, right):
  37         if isinstance(right, LinExpr):
  38             return func(left, right)
  39         elif isinstance(right, numbers.Rational):
  40             right = Rational(right)
  41             return func(left, right)
  42         return NotImplemented
  43     return wrapper
  44
  45
  46 class LinExpr:
  47     """
  48     A linear expression consists of a list of coefficient-variable pairs
  49     that capture the linear terms, plus a constant term. Linear expressions
  50     are used to build constraints. They are temporary objects that typically
  51     have short lifespans.
  52
  53     Linear expressions are generally built using overloaded operators. For
  54     example, if x is a Symbol, then x + 1 is an instance of LinExpr.
  55
  56     LinExpr instances are hashable, and should be treated as immutable.
  57     """
  58
  59     def __new__(cls, coefficients=None, constant=0):
  60         """
  61         Return a linear expression from a dictionary or a sequence, that maps
  62         symbols to their coefficients, and a constant term. The coefficients and
  63         the constant term must be rational numbers.
  64
  65         For example, the linear expression x + 2y + 1 can be constructed using
  66         one of the following instructions:
  67
  68         >>> x, y = symbols('x y')
  69         >>> LinExpr({x: 1, y: 2}, 1)
  70         >>> LinExpr([(x, 1), (y, 2)], 1)
  71
  72         However, it may be easier to use overloaded operators:
  73
  74         >>> x, y = symbols('x y')
  75         >>> x + 2*y + 1
  76
  77         Alternatively, linear expressions can be constructed from a string:
  78
  79         >>> LinExpr('x + 2*y + 1')
  80
  81         A linear expression with a single symbol of coefficient 1 and no
  82         constant term is automatically subclassed as a Symbol instance. A linear
  83         expression with no symbol, only a constant term, is automatically
  84         subclassed as a Rational instance.
  85         """
  86         if isinstance(coefficients, str):
  87             if constant != 0:
  88                 raise TypeError('too many arguments')
  89             return LinExpr.fromstring(coefficients)
  90         if coefficients is None:
  91             return Rational(constant)
  92         if isinstance(coefficients, Mapping):
  93             coefficients = coefficients.items()
  94         coefficients = list(coefficients)
  95         for symbol, coefficient in coefficients:
  96             if not isinstance(symbol, Symbol):
  97                 raise TypeError('symbols must be Symbol instances')
  98             if not isinstance(coefficient, numbers.Rational):
  99                 raise TypeError('coefficients must be rational numbers')
 100         if not isinstance(constant, numbers.Rational):
 101             raise TypeError('constant must be a rational number')
 102         if len(coefficients) == 0:
 103             return Rational(constant)
 104         if len(coefficients) == 1 and constant == 0:
 105             symbol, coefficient = coefficients[0]
 106             if coefficient == 1:
 107                 return symbol
 108         coefficients = [(symbol, Fraction(coefficient))
 109             for symbol, coefficient in coefficients if coefficient != 0]
 110         coefficients.sort(key=lambda item: item[0].sortkey())
 111         self = object().__new__(cls)
 112         self._coefficients = OrderedDict(coefficients)
 113         self._constant = Fraction(constant)
 114         self._symbols = tuple(self._coefficients)
 115         self._dimension = len(self._symbols)
 116         return self
 117
 118     def coefficient(self, symbol):
 119         """
 120         Return the coefficient value of the given symbol, or 0 if the symbol
 121         does not appear in the expression.
 122         """
 123         if not isinstance(symbol, Symbol):
 124             raise TypeError('symbol must be a Symbol instance')
 125         return self._coefficients.get(symbol, Fraction(0))
 126
 127     __getitem__ = coefficient
 128
 129     def coefficients(self):
 130         """
 131         Iterate over the pairs (symbol, value) of linear terms in the
 132         expression. The constant term is ignored.
 133         """
 134         yield from self._coefficients.items()
 135
 136     @property
 137     def constant(self):
 138         """
 139         The constant term of the expression.
 140         """
 141         return self._constant
 142
 143     @property
 144     def symbols(self):
 145         """
 146         The tuple of symbols present in the expression, sorted according to
 147         Symbol.sortkey().
 148         """
 149         return self._symbols
 150
 151     @property
 152     def dimension(self):
 153         """
 154         The dimension of the expression, i.e. the number of symbols present in
 155         it.
 156         """
 157         return self._dimension
 158
 159     def __hash__(self):
 160         return hash((tuple(self._coefficients.items()), self._constant))
 161
 162     def isconstant(self):
 163         """
 164         Return True if the expression only consists of a constant term. In this
 165         case, it is a Rational instance.
 166         """
 167         return False
 168
 169     def issymbol(self):
 170         """
 171         Return True if an expression only consists of a symbol with coefficient
 172         1. In this case, it is a Symbol instance.
 173         """
 174         return False
 175
 176     def values(self):
 177         """
 178         Iterate over the coefficient values in the expression, and the constant
 179         term.
 180         """
 181         for coefficient in self._coefficients.values():
 182             yield coefficient
 183         yield self._constant
 184
 185     def __bool__(self):
 186         return True
 187
 188     def __pos__(self):
 189         return self
 190
 191     def __neg__(self):
 192         return self * -1
 193
 194     @_polymorphic
 195     def __add__(self, other):
 196         """
 197         Return the sum of two linear expressions.
 198         """
 199         coefficients = defaultdict(Fraction, self._coefficients)
 200         for symbol, coefficient in other._coefficients.items():
 201             coefficients[symbol] += coefficient
 202         constant = self._constant + other._constant
 203         return LinExpr(coefficients, constant)
 204
 205     __radd__ = __add__
 206
 207     @_polymorphic
 208     def __sub__(self, other):
 209         """
 210         Return the difference between two linear expressions.
 211         """
 212         coefficients = defaultdict(Fraction, self._coefficients)
 213         for symbol, coefficient in other._coefficients.items():
 214             coefficients[symbol] -= coefficient
 215         constant = self._constant - other._constant
 216         return LinExpr(coefficients, constant)
 217
 218     @_polymorphic
 219     def __rsub__(self, other):
 220         return other - self
 221
 222     def __mul__(self, other):
 223         """
 224         Return the product of the linear expression by a rational.
 225         """
 226         if isinstance(other, numbers.Rational):
 227             coefficients = ((symbol, coefficient * other)
 228                 for symbol, coefficient in self._coefficients.items())
 229             constant = self._constant * other
 230             return LinExpr(coefficients, constant)
 231         return NotImplemented
 232
 233     __rmul__ = __mul__
 234
 235     def __truediv__(self, other):
 236         """
 237         Return the quotient of the linear expression by a rational.
 238         """
 239         if isinstance(other, numbers.Rational):
 240             coefficients = ((symbol, coefficient / other)
 241                 for symbol, coefficient in self._coefficients.items())
 242             constant = self._constant / other
 243             return LinExpr(coefficients, constant)
 244         return NotImplemented
 245
 246     @_polymorphic
 247     def __eq__(self, other):
 248         """
 249         Test whether two linear expressions are equal.
 250         """
 251         return isinstance(other, LinExpr) and \
 252             self._coefficients == other._coefficients and \
 253             self._constant == other._constant
 254
 255     def __le__(self, other):
 256         from .polyhedra import Le
 257         return Le(self, other)
 258
 259     def __lt__(self, other):
 260         from .polyhedra import Lt
 261         return Lt(self, other)
 262
 263     def __ge__(self, other):
 264         from .polyhedra import Ge
 265         return Ge(self, other)
 266
 267     def __gt__(self, other):
 268         from .polyhedra import Gt
 269         return Gt(self, other)
 270
 271     def scaleint(self):
 272         """
 273         Return the expression multiplied by its lowest common denominator to
 274         make all values integer.
 275         """
 276         lcm = functools.reduce(lambda a, b: a*b // gcd(a, b),
 277             [value.denominator for value in self.values()])
 278         return self * lcm
 279
 280     def subs(self, symbol, expression=None):
 281         """
 282         Substitute the given symbol by an expression and return the resulting
 283         expression. Raise TypeError if the resulting expression is not linear.
 284
 285         >>> x, y = symbols('x y')
 286         >>> e = x + 2*y + 1
 287         >>> e.subs(y, x - 1)
 288         3*x - 1
 289
 290         To perform multiple substitutions at once, pass a sequence or a
 291         dictionary of (old, new) pairs to subs.
 292
 293         >>> e.subs({x: y, y: x})
 294         2*x + y + 1
 295         """
 296         if expression is None:
 297             if isinstance(symbol, Mapping):
 298                 symbol = symbol.items()
 299             substitutions = symbol
 300         else:
 301             substitutions = [(symbol, expression)]
 302         result = self
 303         for symbol, expression in substitutions:
 304             if not isinstance(symbol, Symbol):
 305                 raise TypeError('symbols must be Symbol instances')
 306             coefficients = [(othersymbol, coefficient)
 307                 for othersymbol, coefficient in result._coefficients.items()
 308                 if othersymbol != symbol]
 309             coefficient = result._coefficients.get(symbol, 0)
 310             constant = result._constant
 311             result = LinExpr(coefficients, constant) + coefficient*expression
 312         return result
 313
 314     @classmethod
 315     def _fromast(cls, node):
 316         if isinstance(node, ast.Module) and len(node.body) == 1:
 317             return cls._fromast(node.body[0])
 318         elif isinstance(node, ast.Expr):
 319             return cls._fromast(node.value)
 320         elif isinstance(node, ast.Name):
 321             return Symbol(node.id)
 322         elif isinstance(node, ast.Num):
 323             return Rational(node.n)
 324         elif isinstance(node, ast.UnaryOp) and isinstance(node.op, ast.USub):
 325             return -cls._fromast(node.operand)
 326         elif isinstance(node, ast.BinOp):
 327             left = cls._fromast(node.left)
 328             right = cls._fromast(node.right)
 329             if isinstance(node.op, ast.Add):
 330                 return left + right
 331             elif isinstance(node.op, ast.Sub):
 332                 return left - right
 333             elif isinstance(node.op, ast.Mult):
 334                 return left * right
 335             elif isinstance(node.op, ast.Div):
 336                 return left / right
 337         raise SyntaxError('invalid syntax')
 338
 339     _RE_NUM_VAR = re.compile(r'(\d+|\))\s*([^\W\d_]\w*|\()')
 340
 341     @classmethod
 342     def fromstring(cls, string):
 343         """
 344         Create an expression from a string. Raise SyntaxError if the string is
 345         not properly formatted.
 346         """
 347         # add implicit multiplication operators, e.g. '5x' -> '5*x'
 348         string = LinExpr._RE_NUM_VAR.sub(r'\1*\2', string)
 349         tree = ast.parse(string, 'eval')
 350         expr = cls._fromast(tree)
 351         if not isinstance(expr, cls):
 352             raise SyntaxError('invalid syntax')
 353         return expr
 354
 355     def __repr__(self):
 356         string = ''
 357         for i, (symbol, coefficient) in enumerate(self.coefficients()):
 358             if coefficient == 1:
 359                 if i != 0:
 360                     string += ' + '
 361             elif coefficient == -1:
 362                 string += '-' if i == 0 else ' - '
 363             elif i == 0:
 364                 string += '{}*'.format(coefficient)
 365             elif coefficient > 0:
 366                 string += ' + {}*'.format(coefficient)
 367             else:
 368                 string += ' - {}*'.format(-coefficient)
 369             string += '{}'.format(symbol)
 370         constant = self.constant
 371         if len(string) == 0:
 372             string += '{}'.format(constant)
 373         elif constant > 0:
 374             string += ' + {}'.format(constant)
 375         elif constant < 0:
 376             string += ' - {}'.format(-constant)
 377         return string
 378
 379     def _repr_latex_(self):
 380         string = ''
 381         for i, (symbol, coefficient) in enumerate(self.coefficients()):
 382             if coefficient == 1:
 383                 if i != 0:
 384                     string += ' + '
 385             elif coefficient == -1:
 386                 string += '-' if i == 0 else ' - '
 387             elif i == 0:
 388                 string += '{}'.format(coefficient._repr_latex_().strip('$'))
 389             elif coefficient > 0:
 390                 string += ' + {}'.format(coefficient._repr_latex_().strip('$'))
 391             elif coefficient < 0:
 392                 string += ' - {}'.format((-coefficient)._repr_latex_().strip('$'))
 393             string += '{}'.format(symbol._repr_latex_().strip('$'))
 394         constant = self.constant
 395         if len(string) == 0:
 396             string += '{}'.format(constant._repr_latex_().strip('$'))
 397         elif constant > 0:
 398             string += ' + {}'.format(constant._repr_latex_().strip('$'))
 399         elif constant < 0:
 400             string += ' - {}'.format((-constant)._repr_latex_().strip('$'))
 401         return '$${}$$'.format(string)
 402
 403     def _parenstr(self, always=False):
 404         string = str(self)
 405         if not always and (self.isconstant() or self.issymbol()):
 406             return string
 407         else:
 408             return '({})'.format(string)
 409
 410     @classmethod
 411     def fromsympy(cls, expr):
 412         """
 413         Create a linear expression from a sympy expression. Raise TypeError is
 414         the sympy expression is not linear.
 415         """
 416         import sympy
 417         coefficients = []
 418         constant = 0
 419         for symbol, coefficient in expr.as_coefficients_dict().items():
 420             coefficient = Fraction(coefficient.p, coefficient.q)
 421             if symbol == sympy.S.One:
 422                 constant = coefficient
 423             elif isinstance(symbol, sympy.Dummy):
 424                 # we cannot properly convert dummy symbols
 425                 raise TypeError('cannot convert dummy symbols')
 426             elif isinstance(symbol, sympy.Symbol):
 427                 symbol = Symbol(symbol.name)
 428                 coefficients.append((symbol, coefficient))
 429             else:
 430                 raise TypeError('non-linear expression: {!r}'.format(expr))
 431         expr = LinExpr(coefficients, constant)
 432         if not isinstance(expr, cls):
 433             raise TypeError('cannot convert to a {} instance'.format(cls.__name__))
 434         return expr
 435
 436     def tosympy(self):
 437         """
 438         Convert the linear expression to a sympy expression.
 439         """
 440         import sympy
 441         expr = 0
 442         for symbol, coefficient in self.coefficients():
 443             term = coefficient * sympy.Symbol(symbol.name)
 444             expr += term
 445         expr += self.constant
 446         return expr
 447
 448
 449 class Symbol(LinExpr):
 450     """
 451     Symbols are the basic components to build expressions and constraints.
 452     They correspond to mathematical variables. Symbols are instances of
 453     class LinExpr and inherit its functionalities.
 454
 455     Two instances of Symbol are equal if they have the same name.
 456     """
 457
 458     def __new__(cls, name):
 459         """
 460         Return a symbol with the name string given in argument.
 461         """
 462         if not isinstance(name, str):
 463             raise TypeError('name must be a string')
 464         node = ast.parse(name)
 465         try:
 466             name = node.body[0].value.id
 467         except (AttributeError, SyntaxError):
 468             raise SyntaxError('invalid syntax')
 469         self = object().__new__(cls)
 470         self._name = name
 471         self._coefficients = {self: Fraction(1)}
 472         self._constant = Fraction(0)
 473         self._symbols = (self,)
 474         self._dimension = 1
 475         return self
 476
 477     @property
 478     def name(self):
 479         """
 480         The name of the symbol.
 481         """
 482         return self._name
 483
 484     def __hash__(self):
 485         return hash(self.sortkey())
 486
 487     def sortkey(self):
 488         """
 489         Return a sorting key for the symbol. It is useful to sort a list of
 490         symbols in a consistent order, as comparison functions are overridden
 491         (see the documentation of class LinExpr).
 492
 493         >>> sort(symbols, key=Symbol.sortkey)
 494         """
 495         return self.name,
 496
 497     def issymbol(self):
 498         return True
 499
 500     def __eq__(self, other):
 501         return self.sortkey() == other.sortkey()
 502
 503     def asdummy(self):
 504         """
 505         Return a new Dummy symbol instance with the same name.
 506         """
 507         return Dummy(self.name)
 508
 509     def __repr__(self):
 510         return self.name
 511
 512     def _repr_latex_(self):
 513         return '$${}$$'.format(self.name)
 514
 515
 516 def symbols(names):
 517     """
 518     This function returns a tuple of symbols whose names are taken from a comma
 519     or whitespace delimited string, or a sequence of strings. It is useful to
 520     define several symbols at once.
 521
 522     >>> x, y = symbols('x y')
 523     >>> x, y = symbols('x, y')
 524     >>> x, y = symbols(['x', 'y'])
 525     """
 526     if isinstance(names, str):
 527         names = names.replace(',', ' ').split()
 528     return tuple(Symbol(name) for name in names)
 529
 530
 531 class Dummy(Symbol):
 532     """
 533     A variation of Symbol in which all symbols are unique and identified by
 534     an internal count index. If a name is not supplied then a string value
 535     of the count index will be used. This is useful when a unique, temporary
 536     variable is needed and the name of the variable used in the expression
 537     is not important.
 538
 539     Unlike Symbol, Dummy instances with the same name are not equal:
 540
 541     >>> x = Symbol('x')
 542     >>> x1, x2 = Dummy('x'), Dummy('x')
 543     >>> x == x1
 544     False
 545     >>> x1 == x2
 546     False
 547     >>> x1 == x1
 548     True
 549     """
 550
 551     _count = 0
 552
 553     def __new__(cls, name=None):
 554         """
 555         Return a fresh dummy symbol with the name string given in argument.
 556         """
 557         if name is None:
 558             name = 'Dummy_{}'.format(Dummy._count)
 559         elif not isinstance(name, str):
 560             raise TypeError('name must be a string')
 561         self = object().__new__(cls)
 562         self._index = Dummy._count
 563         self._name = name.strip()
 564         self._coefficients = {self: Fraction(1)}
 565         self._constant = Fraction(0)
 566         self._symbols = (self,)
 567         self._dimension = 1
 568         Dummy._count += 1
 569         return self
 570
 571     def __hash__(self):
 572         return hash(self.sortkey())
 573
 574     def sortkey(self):
 575         return self._name, self._index
 576
 577     def __repr__(self):
 578         return '_{}'.format(self.name)
 579
 580     def _repr_latex_(self):
 581         return '$${}_{{{}}}$$'.format(self.name, self._index)
 582
 583
 584 class Rational(LinExpr, Fraction):
 585     """
 586     A particular case of linear expressions are rational values, i.e. linear
 587     expressions consisting only of a constant term, with no symbol. They are
 588     implemented by the Rational class, that inherits from both LinExpr and
 589     fractions.Fraction classes.
 590     """
 591
 592     def __new__(cls, numerator=0, denominator=None):
 593         self = object().__new__(cls)
 594         self._coefficients = {}
 595         self._constant = Fraction(numerator, denominator)
 596         self._symbols = ()
 597         self._dimension = 0
 598         self._numerator = self._constant.numerator
 599         self._denominator = self._constant.denominator
 600         return self
 601
 602     def __hash__(self):
 603         return Fraction.__hash__(self)
 604
 605     @property
 606     def constant(self):
 607         return self
 608
 609     def isconstant(self):
 610         return True
 611
 612     def __bool__(self):
 613         return Fraction.__bool__(self)
 614
 615     def __repr__(self):
 616         if self.denominator == 1:
 617             return '{!r}'.format(self.numerator)
 618         else:
 619             return '{!r}/{!r}'.format(self.numerator, self.denominator)
 620
 621     def _repr_latex_(self):
 622         if self.denominator == 1:
 623             return '$${}$$'.format(self.numerator)
 624         elif self.numerator < 0:
 625             return '$$-\\frac{{{}}}{{{}}}$$'.format(-self.numerator,
 626                 self.denominator)
 627         else:
 628             return '$$\\frac{{{}}}{{{}}}$$'.format(self.numerator,
 629                 self.denominator)