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         yield from self._coefficients.values()
 182         yield self._constant
 183
 184     def __bool__(self):
 185         return True
 186
 187     def __pos__(self):
 188         return self
 189
 190     def __neg__(self):
 191         return self * -1
 192
 193     @_polymorphic
 194     def __add__(self, other):
 195         """
 196         Return the sum of two linear expressions.
 197         """
 198         coefficients = defaultdict(Fraction, self._coefficients)
 199         for symbol, coefficient in other._coefficients.items():
 200             coefficients[symbol] += coefficient
 201         constant = self._constant + other._constant
 202         return LinExpr(coefficients, constant)
 203
 204     __radd__ = __add__
 205
 206     @_polymorphic
 207     def __sub__(self, other):
 208         """
 209         Return the difference between two linear expressions.
 210         """
 211         coefficients = defaultdict(Fraction, self._coefficients)
 212         for symbol, coefficient in other._coefficients.items():
 213             coefficients[symbol] -= coefficient
 214         constant = self._constant - other._constant
 215         return LinExpr(coefficients, constant)
 216
 217     @_polymorphic
 218     def __rsub__(self, other):
 219         return other - self
 220
 221     def __mul__(self, other):
 222         """
 223         Return the product of the linear expression by a rational.
 224         """
 225         if isinstance(other, numbers.Rational):
 226             coefficients = ((symbol, coefficient * other)
 227                 for symbol, coefficient in self._coefficients.items())
 228             constant = self._constant * other
 229             return LinExpr(coefficients, constant)
 230         return NotImplemented
 231
 232     __rmul__ = __mul__
 233
 234     def __truediv__(self, other):
 235         """
 236         Return the quotient of the linear expression by a rational.
 237         """
 238         if isinstance(other, numbers.Rational):
 239             coefficients = ((symbol, coefficient / other)
 240                 for symbol, coefficient in self._coefficients.items())
 241             constant = self._constant / other
 242             return LinExpr(coefficients, constant)
 243         return NotImplemented
 244
 245     @_polymorphic
 246     def __eq__(self, other):
 247         """
 248         Test whether two linear expressions are equal.
 249         """
 250         if isinstance(other, LinExpr):
 251             return self._coefficients == other._coefficients and \
 252                 self._constant == other._constant
 253         return NotImplemented
 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         lcd = functools.reduce(lambda a, b: a*b // gcd(a, b),
 277             [value.denominator for value in self.values()])
 278         return self * lcd
 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             substitutions = dict(symbol)
 298         else:
 299             substitutions = {symbol: expression}
 300         for symbol in substitutions:
 301             if not isinstance(symbol, Symbol):
 302                 raise TypeError('symbols must be Symbol instances')
 303         result = self._constant
 304         for symbol, coefficient in self._coefficients.items():
 305             expression = substitutions.get(symbol, symbol)
 306             result += coefficient * expression
 307         return result
 308
 309     @classmethod
 310     def _fromast(cls, node):
 311         if isinstance(node, ast.Module) and len(node.body) == 1:
 312             return cls._fromast(node.body[0])
 313         elif isinstance(node, ast.Expr):
 314             return cls._fromast(node.value)
 315         elif isinstance(node, ast.Name):
 316             return Symbol(node.id)
 317         elif isinstance(node, ast.Num):
 318             return Rational(node.n)
 319         elif isinstance(node, ast.UnaryOp) and isinstance(node.op, ast.USub):
 320             return -cls._fromast(node.operand)
 321         elif isinstance(node, ast.BinOp):
 322             left = cls._fromast(node.left)
 323             right = cls._fromast(node.right)
 324             if isinstance(node.op, ast.Add):
 325                 return left + right
 326             elif isinstance(node.op, ast.Sub):
 327                 return left - right
 328             elif isinstance(node.op, ast.Mult):
 329                 return left * right
 330             elif isinstance(node.op, ast.Div):
 331                 return left / right
 332         raise SyntaxError('invalid syntax')
 333
 334     _RE_NUM_VAR = re.compile(r'(\d+|\))\s*([^\W\d]\w*|\()')
 335
 336     @classmethod
 337     def fromstring(cls, string):
 338         """
 339         Create an expression from a string. Raise SyntaxError if the string is
 340         not properly formatted.
 341         """
 342         # add implicit multiplication operators, e.g. '5x' -> '5*x'
 343         string = LinExpr._RE_NUM_VAR.sub(r'\1*\2', string)
 344         tree = ast.parse(string, 'eval')
 345         expr = cls._fromast(tree)
 346         if not isinstance(expr, cls):
 347             raise SyntaxError('invalid syntax')
 348         return expr
 349
 350     def __repr__(self):
 351         string = ''
 352         for i, (symbol, coefficient) in enumerate(self.coefficients()):
 353             if coefficient == 1:
 354                 if i != 0:
 355                     string += ' + '
 356             elif coefficient == -1:
 357                 string += '-' if i == 0 else ' - '
 358             elif i == 0:
 359                 string += '{}*'.format(coefficient)
 360             elif coefficient > 0:
 361                 string += ' + {}*'.format(coefficient)
 362             else:
 363                 string += ' - {}*'.format(-coefficient)
 364             string += '{}'.format(symbol)
 365         constant = self.constant
 366         if len(string) == 0:
 367             string += '{}'.format(constant)
 368         elif constant > 0:
 369             string += ' + {}'.format(constant)
 370         elif constant < 0:
 371             string += ' - {}'.format(-constant)
 372         return string
 373
 374     def _repr_latex_(self):
 375         string = ''
 376         for i, (symbol, coefficient) in enumerate(self.coefficients()):
 377             if coefficient == 1:
 378                 if i != 0:
 379                     string += ' + '
 380             elif coefficient == -1:
 381                 string += '-' if i == 0 else ' - '
 382             elif i == 0:
 383                 string += '{}'.format(coefficient._repr_latex_().strip('$'))
 384             elif coefficient > 0:
 385                 string += ' + {}'.format(coefficient._repr_latex_().strip('$'))
 386             elif coefficient < 0:
 387                 string += ' - {}'.format((-coefficient)._repr_latex_().strip('$'))
 388             string += '{}'.format(symbol._repr_latex_().strip('$'))
 389         constant = self.constant
 390         if len(string) == 0:
 391             string += '{}'.format(constant._repr_latex_().strip('$'))
 392         elif constant > 0:
 393             string += ' + {}'.format(constant._repr_latex_().strip('$'))
 394         elif constant < 0:
 395             string += ' - {}'.format((-constant)._repr_latex_().strip('$'))
 396         return '$${}$$'.format(string)
 397
 398     def _parenstr(self, always=False):
 399         string = str(self)
 400         if not always and (self.isconstant() or self.issymbol()):
 401             return string
 402         else:
 403             return '({})'.format(string)
 404
 405     @classmethod
 406     def fromsympy(cls, expr):
 407         """
 408         Create a linear expression from a sympy expression. Raise TypeError is
 409         the sympy expression is not linear.
 410         """
 411         import sympy
 412         coefficients = []
 413         constant = 0
 414         for symbol, coefficient in expr.as_coefficients_dict().items():
 415             coefficient = Fraction(coefficient.p, coefficient.q)
 416             if symbol == sympy.S.One:
 417                 constant = coefficient
 418             elif isinstance(symbol, sympy.Dummy):
 419                 # we cannot properly convert dummy symbols
 420                 raise TypeError('cannot convert dummy symbols')
 421             elif isinstance(symbol, sympy.Symbol):
 422                 symbol = Symbol(symbol.name)
 423                 coefficients.append((symbol, coefficient))
 424             else:
 425                 raise TypeError('non-linear expression: {!r}'.format(expr))
 426         expr = LinExpr(coefficients, constant)
 427         if not isinstance(expr, cls):
 428             raise TypeError('cannot convert to a {} instance'.format(cls.__name__))
 429         return expr
 430
 431     def tosympy(self):
 432         """
 433         Convert the linear expression to a sympy expression.
 434         """
 435         import sympy
 436         expr = 0
 437         for symbol, coefficient in self.coefficients():
 438             term = coefficient * sympy.Symbol(symbol.name)
 439             expr += term
 440         expr += self.constant
 441         return expr
 442
 443
 444 class Symbol(LinExpr):
 445     """
 446     Symbols are the basic components to build expressions and constraints.
 447     They correspond to mathematical variables. Symbols are instances of
 448     class LinExpr and inherit its functionalities.
 449
 450     Two instances of Symbol are equal if they have the same name.
 451     """
 452
 453     __slots__ = (
 454         '_name',
 455         '_constant',
 456         '_symbols',
 457         '_dimension',
 458     )
 459
 460     def __new__(cls, name):
 461         """
 462         Return a symbol with the name string given in argument.
 463         """
 464         if not isinstance(name, str):
 465             raise TypeError('name must be a string')
 466         node = ast.parse(name)
 467         try:
 468             name = node.body[0].value.id
 469         except (AttributeError, SyntaxError):
 470             raise SyntaxError('invalid syntax')
 471         self = object().__new__(cls)
 472         self._name = name
 473         self._constant = Fraction(0)
 474         self._symbols = (self,)
 475         self._dimension = 1
 476         return self
 477
 478     @property
 479     def _coefficients(self):
 480         return {self: Fraction(1)}
 481
 482     @property
 483     def name(self):
 484         """
 485         The name of the symbol.
 486         """
 487         return self._name
 488
 489     def __hash__(self):
 490         return hash(self.sortkey())
 491
 492     def sortkey(self):
 493         """
 494         Return a sorting key for the symbol. It is useful to sort a list of
 495         symbols in a consistent order, as comparison functions are overridden
 496         (see the documentation of class LinExpr).
 497
 498         >>> sort(symbols, key=Symbol.sortkey)
 499         """
 500         return self.name,
 501
 502     def issymbol(self):
 503         return True
 504
 505     def __eq__(self, other):
 506         if isinstance(other, Symbol):
 507             return self.sortkey() == other.sortkey()
 508         return NotImplemented
 509
 510     def asdummy(self):
 511         """
 512         Return a new Dummy symbol instance with the same name.
 513         """
 514         return Dummy(self.name)
 515
 516     def __repr__(self):
 517         return self.name
 518
 519     def _repr_latex_(self):
 520         return '$${}$$'.format(self.name)
 521
 522
 523 def symbols(names):
 524     """
 525     This function returns a tuple of symbols whose names are taken from a comma
 526     or whitespace delimited string, or a sequence of strings. It is useful to
 527     define several symbols at once.
 528
 529     >>> x, y = symbols('x y')
 530     >>> x, y = symbols('x, y')
 531     >>> x, y = symbols(['x', 'y'])
 532     """
 533     if isinstance(names, str):
 534         names = names.replace(',', ' ').split()
 535     return tuple(Symbol(name) for name in names)
 536
 537
 538 class Dummy(Symbol):
 539     """
 540     A variation of Symbol in which all symbols are unique and identified by
 541     an internal count index. If a name is not supplied then a string value
 542     of the count index will be used. This is useful when a unique, temporary
 543     variable is needed and the name of the variable used in the expression
 544     is not important.
 545
 546     Unlike Symbol, Dummy instances with the same name are not equal:
 547
 548     >>> x = Symbol('x')
 549     >>> x1, x2 = Dummy('x'), Dummy('x')
 550     >>> x == x1
 551     False
 552     >>> x1 == x2
 553     False
 554     >>> x1 == x1
 555     True
 556     """
 557
 558     _count = 0
 559
 560     def __new__(cls, name=None):
 561         """
 562         Return a fresh dummy symbol with the name string given in argument.
 563         """
 564         if name is None:
 565             name = 'Dummy_{}'.format(Dummy._count)
 566         self = super().__new__(cls, name)
 567         self._index = Dummy._count
 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     __slots__ = (
 593         '_coefficients',
 594         '_constant',
 595         '_symbols',
 596         '_dimension',
 597     ) + Fraction.__slots__
 598
 599     def __new__(cls, numerator=0, denominator=None):
 600         self = object().__new__(cls)
 601         self._coefficients = {}
 602         self._constant = Fraction(numerator, denominator)
 603         self._symbols = ()
 604         self._dimension = 0
 605         self._numerator = self._constant.numerator
 606         self._denominator = self._constant.denominator
 607         return self
 608
 609     def __hash__(self):
 610         return Fraction.__hash__(self)
 611
 612     @property
 613     def constant(self):
 614         return self
 615
 616     def isconstant(self):
 617         return True
 618
 619     def __bool__(self):
 620         return Fraction.__bool__(self)
 621
 622     def __repr__(self):
 623         if self.denominator == 1:
 624             return '{!r}'.format(self.numerator)
 625         else:
 626             return '{!r}/{!r}'.format(self.numerator, self.denominator)
 627
 628     def _repr_latex_(self):
 629         if self.denominator == 1:
 630             return '$${}$$'.format(self.numerator)
 631         elif self.numerator < 0:
 632             return '$$-\\frac{{{}}}{{{}}}$$'.format(-self.numerator,
 633                 self.denominator)
 634         else:
 635             return '$$\\frac{{{}}}{{{}}}$$'.format(self.numerator,
 636                 self.denominator)