Traktor/myenv/Lib/site-packages/sympy/solvers/inequalities.py

"""Tools for solving inequalities and systems of inequalities. """
import itertools

from sympy.calculus.util import (continuous_domain, periodicity,
    function_range)
from sympy.core import Symbol, Dummy, sympify
from sympy.core.exprtools import factor_terms
from sympy.core.relational import Relational, Eq, Ge, Lt
from sympy.sets.sets import Interval, FiniteSet, Union, Intersection
from sympy.core.singleton import S
from sympy.core.function import expand_mul
from sympy.functions.elementary.complexes import im, Abs
from sympy.logic import And
from sympy.polys import Poly, PolynomialError, parallel_poly_from_expr
from sympy.polys.polyutils import _nsort
from sympy.solvers.solveset import solvify, solveset
from sympy.utilities.iterables import sift, iterable
from sympy.utilities.misc import filldedent


def solve_poly_inequality(poly, rel):
    """Solve a polynomial inequality with rational coefficients.

    Examples
    ========

    >>> from sympy import solve_poly_inequality, Poly
    >>> from sympy.abc import x

    >>> solve_poly_inequality(Poly(x, x, domain='ZZ'), '==')
    [{0}]

    >>> solve_poly_inequality(Poly(x**2 - 1, x, domain='ZZ'), '!=')
    [Interval.open(-oo, -1), Interval.open(-1, 1), Interval.open(1, oo)]

    >>> solve_poly_inequality(Poly(x**2 - 1, x, domain='ZZ'), '==')
    [{-1}, {1}]

    See Also
    ========
    solve_poly_inequalities
    """
    if not isinstance(poly, Poly):
        raise ValueError(
            'For efficiency reasons, `poly` should be a Poly instance')
    if poly.as_expr().is_number:
        t = Relational(poly.as_expr(), 0, rel)
        if t is S.true:
            return [S.Reals]
        elif t is S.false:
            return [S.EmptySet]
        else:
            raise NotImplementedError(
                "could not determine truth value of %s" % t)

    reals, intervals = poly.real_roots(multiple=False), []

    if rel == '==':
        for root, _ in reals:
            interval = Interval(root, root)
            intervals.append(interval)
    elif rel == '!=':
        left = S.NegativeInfinity

        for right, _ in reals + [(S.Infinity, 1)]:
            interval = Interval(left, right, True, True)
            intervals.append(interval)
            left = right
    else:
        if poly.LC() > 0:
            sign = +1
        else:
            sign = -1

        eq_sign, equal = None, False

        if rel == '>':
            eq_sign = +1
        elif rel == '<':
            eq_sign = -1
        elif rel == '>=':
            eq_sign, equal = +1, True
        elif rel == '<=':
            eq_sign, equal = -1, True
        else:
            raise ValueError("'%s' is not a valid relation" % rel)

        right, right_open = S.Infinity, True

        for left, multiplicity in reversed(reals):
            if multiplicity % 2:
                if sign == eq_sign:
                    intervals.insert(
                        0, Interval(left, right, not equal, right_open))

                sign, right, right_open = -sign, left, not equal
            else:
                if sign == eq_sign and not equal:
                    intervals.insert(
                        0, Interval(left, right, True, right_open))
                    right, right_open = left, True
                elif sign != eq_sign and equal:
                    intervals.insert(0, Interval(left, left))

        if sign == eq_sign:
            intervals.insert(
                0, Interval(S.NegativeInfinity, right, True, right_open))

    return intervals


def solve_poly_inequalities(polys):
    """Solve polynomial inequalities with rational coefficients.

    Examples
    ========

    >>> from sympy import Poly
    >>> from sympy.solvers.inequalities import solve_poly_inequalities
    >>> from sympy.abc import x
    >>> solve_poly_inequalities(((
    ... Poly(x**2 - 3), ">"), (
    ... Poly(-x**2 + 1), ">")))
    Union(Interval.open(-oo, -sqrt(3)), Interval.open(-1, 1), Interval.open(sqrt(3), oo))
    """
    return Union(*[s for p in polys for s in solve_poly_inequality(*p)])


def solve_rational_inequalities(eqs):
    """Solve a system of rational inequalities with rational coefficients.

    Examples
    ========

    >>> from sympy.abc import x
    >>> from sympy import solve_rational_inequalities, Poly

    >>> solve_rational_inequalities([[
    ... ((Poly(-x + 1), Poly(1, x)), '>='),
    ... ((Poly(-x + 1), Poly(1, x)), '<=')]])
    {1}

    >>> solve_rational_inequalities([[
    ... ((Poly(x), Poly(1, x)), '!='),
    ... ((Poly(-x + 1), Poly(1, x)), '>=')]])
    Union(Interval.open(-oo, 0), Interval.Lopen(0, 1))

    See Also
    ========
    solve_poly_inequality
    """
    result = S.EmptySet

    for _eqs in eqs:
        if not _eqs:
            continue

        global_intervals = [Interval(S.NegativeInfinity, S.Infinity)]

        for (numer, denom), rel in _eqs:
            numer_intervals = solve_poly_inequality(numer*denom, rel)
            denom_intervals = solve_poly_inequality(denom, '==')

            intervals = []

            for numer_interval, global_interval in itertools.product(
                    numer_intervals, global_intervals):
                interval = numer_interval.intersect(global_interval)

                if interval is not S.EmptySet:
                    intervals.append(interval)

            global_intervals = intervals

            intervals = []

            for global_interval in global_intervals:
                for denom_interval in denom_intervals:
                    global_interval -= denom_interval

                if global_interval is not S.EmptySet:
                    intervals.append(global_interval)

            global_intervals = intervals

            if not global_intervals:
                break

        for interval in global_intervals:
            result = result.union(interval)

    return result


def reduce_rational_inequalities(exprs, gen, relational=True):
    """Reduce a system of rational inequalities with rational coefficients.

    Examples
    ========

    >>> from sympy import Symbol
    >>> from sympy.solvers.inequalities import reduce_rational_inequalities

    >>> x = Symbol('x', real=True)

    >>> reduce_rational_inequalities([[x**2 <= 0]], x)
    Eq(x, 0)

    >>> reduce_rational_inequalities([[x + 2 > 0]], x)
    -2 < x
    >>> reduce_rational_inequalities([[(x + 2, ">")]], x)
    -2 < x
    >>> reduce_rational_inequalities([[x + 2]], x)
    Eq(x, -2)

    This function find the non-infinite solution set so if the unknown symbol
    is declared as extended real rather than real then the result may include
    finiteness conditions:

    >>> y = Symbol('y', extended_real=True)
    >>> reduce_rational_inequalities([[y + 2 > 0]], y)
    (-2 < y) & (y < oo)
    """
    exact = True
    eqs = []
    solution = S.Reals if exprs else S.EmptySet
    for _exprs in exprs:
        _eqs = []

        for expr in _exprs:
            if isinstance(expr, tuple):
                expr, rel = expr
            else:
                if expr.is_Relational:
                    expr, rel = expr.lhs - expr.rhs, expr.rel_op
                else:
                    expr, rel = expr, '=='

            if expr is S.true:
                numer, denom, rel = S.Zero, S.One, '=='
            elif expr is S.false:
                numer, denom, rel = S.One, S.One, '=='
            else:
                numer, denom = expr.together().as_numer_denom()

            try:
                (numer, denom), opt = parallel_poly_from_expr(
                    (numer, denom), gen)
            except PolynomialError:
                raise PolynomialError(filldedent('''
                    only polynomials and rational functions are
                    supported in this context.
                    '''))

            if not opt.domain.is_Exact:
                numer, denom, exact = numer.to_exact(), denom.to_exact(), False

            domain = opt.domain.get_exact()

            if not (domain.is_ZZ or domain.is_QQ):
                expr = numer/denom
                expr = Relational(expr, 0, rel)
                solution &= solve_univariate_inequality(expr, gen, relational=False)
            else:
                _eqs.append(((numer, denom), rel))

        if _eqs:
            eqs.append(_eqs)

    if eqs:
        solution &= solve_rational_inequalities(eqs)
        exclude = solve_rational_inequalities([[((d, d.one), '==')
            for i in eqs for ((n, d), _) in i if d.has(gen)]])
        solution -= exclude

    if not exact and solution:
        solution = solution.evalf()

    if relational:
        solution = solution.as_relational(gen)

    return solution


def reduce_abs_inequality(expr, rel, gen):
    """Reduce an inequality with nested absolute values.

    Examples
    ========

    >>> from sympy import reduce_abs_inequality, Abs, Symbol
    >>> x = Symbol('x', real=True)

    >>> reduce_abs_inequality(Abs(x - 5) - 3, '<', x)
    (2 < x) & (x < 8)

    >>> reduce_abs_inequality(Abs(x + 2)*3 - 13, '<', x)
    (-19/3 < x) & (x < 7/3)

    See Also
    ========

    reduce_abs_inequalities
    """
    if gen.is_extended_real is False:
         raise TypeError(filldedent('''
            Cannot solve inequalities with absolute values containing
            non-real variables.
            '''))

    def _bottom_up_scan(expr):
        exprs = []

        if expr.is_Add or expr.is_Mul:
            op = expr.func

            for arg in expr.args:
                _exprs = _bottom_up_scan(arg)

                if not exprs:
                    exprs = _exprs
                else:
                    exprs = [(op(expr, _expr), conds + _conds) for (expr, conds), (_expr, _conds) in
                            itertools.product(exprs, _exprs)]
        elif expr.is_Pow:
            n = expr.exp
            if not n.is_Integer:
                raise ValueError("Only Integer Powers are allowed on Abs.")

            exprs.extend((expr**n, conds) for expr, conds in _bottom_up_scan(expr.base))
        elif isinstance(expr, Abs):
            _exprs = _bottom_up_scan(expr.args[0])

            for expr, conds in _exprs:
                exprs.append(( expr, conds + [Ge(expr, 0)]))
                exprs.append((-expr, conds + [Lt(expr, 0)]))
        else:
            exprs = [(expr, [])]

        return exprs

    mapping = {'<': '>', '<=': '>='}
    inequalities = []

    for expr, conds in _bottom_up_scan(expr):
        if rel not in mapping.keys():
            expr = Relational( expr, 0, rel)
        else:
            expr = Relational(-expr, 0, mapping[rel])

        inequalities.append([expr] + conds)

    return reduce_rational_inequalities(inequalities, gen)


def reduce_abs_inequalities(exprs, gen):
    """Reduce a system of inequalities with nested absolute values.

    Examples
    ========

    >>> from sympy import reduce_abs_inequalities, Abs, Symbol
    >>> x = Symbol('x', extended_real=True)

    >>> reduce_abs_inequalities([(Abs(3*x - 5) - 7, '<'),
    ... (Abs(x + 25) - 13, '>')], x)
    (-2/3 < x) & (x < 4) & (((-oo < x) & (x < -38)) | ((-12 < x) & (x < oo)))

    >>> reduce_abs_inequalities([(Abs(x - 4) + Abs(3*x - 5) - 7, '<')], x)
    (1/2 < x) & (x < 4)

    See Also
    ========

    reduce_abs_inequality
    """
    return And(*[ reduce_abs_inequality(expr, rel, gen)
        for expr, rel in exprs ])


def solve_univariate_inequality(expr, gen, relational=True, domain=S.Reals, continuous=False):
    """Solves a real univariate inequality.

    Parameters
    ==========

    expr : Relational
        The target inequality
    gen : Symbol
        The variable for which the inequality is solved
    relational : bool
        A Relational type output is expected or not
    domain : Set
        The domain over which the equation is solved
    continuous: bool
        True if expr is known to be continuous over the given domain
        (and so continuous_domain() does not need to be called on it)

    Raises
    ======

    NotImplementedError
        The solution of the inequality cannot be determined due to limitation
        in :func:`sympy.solvers.solveset.solvify`.

    Notes
    =====

    Currently, we cannot solve all the inequalities due to limitations in
    :func:`sympy.solvers.solveset.solvify`. Also, the solution returned for trigonometric inequalities
    are restricted in its periodic interval.

    See Also
    ========

    sympy.solvers.solveset.solvify: solver returning solveset solutions with solve's output API

    Examples
    ========

    >>> from sympy import solve_univariate_inequality, Symbol, sin, Interval, S
    >>> x = Symbol('x')

    >>> solve_univariate_inequality(x**2 >= 4, x)
    ((2 <= x) & (x < oo)) | ((-oo < x) & (x <= -2))

    >>> solve_univariate_inequality(x**2 >= 4, x, relational=False)
    Union(Interval(-oo, -2), Interval(2, oo))

    >>> domain = Interval(0, S.Infinity)
    >>> solve_univariate_inequality(x**2 >= 4, x, False, domain)
    Interval(2, oo)

    >>> solve_univariate_inequality(sin(x) > 0, x, relational=False)
    Interval.open(0, pi)

    """
    from sympy.solvers.solvers import denoms

    if domain.is_subset(S.Reals) is False:
        raise NotImplementedError(filldedent('''
        Inequalities in the complex domain are
        not supported. Try the real domain by
        setting domain=S.Reals'''))
    elif domain is not S.Reals:
        rv = solve_univariate_inequality(
        expr, gen, relational=False, continuous=continuous).intersection(domain)
        if relational:
            rv = rv.as_relational(gen)
        return rv
    else:
        pass  # continue with attempt to solve in Real domain

    # This keeps the function independent of the assumptions about `gen`.
    # `solveset` makes sure this function is called only when the domain is
    # real.
    _gen = gen
    _domain = domain
    if gen.is_extended_real is False:
        rv = S.EmptySet
        return rv if not relational else rv.as_relational(_gen)
    elif gen.is_extended_real is None:
        gen = Dummy('gen', extended_real=True)
        try:
            expr = expr.xreplace({_gen: gen})
        except TypeError:
            raise TypeError(filldedent('''
                When gen is real, the relational has a complex part
                which leads to an invalid comparison like I < 0.
                '''))

    rv = None

    if expr is S.true:
        rv = domain

    elif expr is S.false:
        rv = S.EmptySet

    else:
        e = expr.lhs - expr.rhs
        period = periodicity(e, gen)
        if period == S.Zero:
            e = expand_mul(e)
            const = expr.func(e, 0)
            if const is S.true:
                rv = domain
            elif const is S.false:
                rv = S.EmptySet
        elif period is not None:
            frange = function_range(e, gen, domain)

            rel = expr.rel_op
            if rel in ('<', '<='):
                if expr.func(frange.sup, 0):
                    rv = domain
                elif not expr.func(frange.inf, 0):
                    rv = S.EmptySet

            elif rel in ('>', '>='):
                if expr.func(frange.inf, 0):
                    rv = domain
                elif not expr.func(frange.sup, 0):
                    rv = S.EmptySet

            inf, sup = domain.inf, domain.sup
            if sup - inf is S.Infinity:
                domain = Interval(0, period, False, True).intersect(_domain)
                _domain = domain

        if rv is None:
            n, d = e.as_numer_denom()
            try:
                if gen not in n.free_symbols and len(e.free_symbols) > 1:
                    raise ValueError
                # this might raise ValueError on its own
                # or it might give None...
                solns = solvify(e, gen, domain)
                if solns is None:
                    # in which case we raise ValueError
                    raise ValueError
            except (ValueError, NotImplementedError):
                # replace gen with generic x since it's
                # univariate anyway
                raise NotImplementedError(filldedent('''
                    The inequality, %s, cannot be solved using
                    solve_univariate_inequality.
                    ''' % expr.subs(gen, Symbol('x'))))

            expanded_e = expand_mul(e)
            def valid(x):
                # this is used to see if gen=x satisfies the
                # relational by substituting it into the
                # expanded form and testing against 0, e.g.
                # if expr = x*(x + 1) < 2 then e = x*(x + 1) - 2
                # and expanded_e = x**2 + x - 2; the test is
                # whether a given value of x satisfies
                # x**2 + x - 2 < 0
                #
                # expanded_e, expr and gen used from enclosing scope
                v = expanded_e.subs(gen, expand_mul(x))
                try:
                    r = expr.func(v, 0)
                except TypeError:
                    r = S.false
                if r in (S.true, S.false):
                    return r
                if v.is_extended_real is False:
                    return S.false
                else:
                    v = v.n(2)
                    if v.is_comparable:
                        return expr.func(v, 0)
                    # not comparable or couldn't be evaluated
                    raise NotImplementedError(
                        'relationship did not evaluate: %s' % r)

            singularities = []
            for d in denoms(expr, gen):
                singularities.extend(solvify(d, gen, domain))
            if not continuous:
                domain = continuous_domain(expanded_e, gen, domain)

            include_x = '=' in expr.rel_op and expr.rel_op != '!='

            try:
                discontinuities = set(domain.boundary -
                    FiniteSet(domain.inf, domain.sup))
                # remove points that are not between inf and sup of domain
                critical_points = FiniteSet(*(solns + singularities + list(
                    discontinuities))).intersection(
                    Interval(domain.inf, domain.sup,
                    domain.inf not in domain, domain.sup not in domain))
                if all(r.is_number for r in critical_points):
                    reals = _nsort(critical_points, separated=True)[0]
                else:
                    sifted = sift(critical_points, lambda x: x.is_extended_real)
                    if sifted[None]:
                        # there were some roots that weren't known
                        # to be real
                        raise NotImplementedError
                    try:
                        reals = sifted[True]
                        if len(reals) > 1:
                            reals = sorted(reals)
                    except TypeError:
                        raise NotImplementedError
            except NotImplementedError:
                raise NotImplementedError('sorting of these roots is not supported')

            # If expr contains imaginary coefficients, only take real
            # values of x for which the imaginary part is 0
            make_real = S.Reals
            if im(expanded_e) != S.Zero:
                check = True
                im_sol = FiniteSet()
                try:
                    a = solveset(im(expanded_e), gen, domain)
                    if not isinstance(a, Interval):
                        for z in a:
                            if z not in singularities and valid(z) and z.is_extended_real:
                                im_sol += FiniteSet(z)
                    else:
                        start, end = a.inf, a.sup
                        for z in _nsort(critical_points + FiniteSet(end)):
                            valid_start = valid(start)
                            if start != end:
                                valid_z = valid(z)
                                pt = _pt(start, z)
                                if pt not in singularities and pt.is_extended_real and valid(pt):
                                    if valid_start and valid_z:
                                        im_sol += Interval(start, z)
                                    elif valid_start:
                                        im_sol += Interval.Ropen(start, z)
                                    elif valid_z:
                                        im_sol += Interval.Lopen(start, z)
                                    else:
                                        im_sol += Interval.open(start, z)
                            start = z
                        for s in singularities:
                            im_sol -= FiniteSet(s)
                except (TypeError):
                    im_sol = S.Reals
                    check = False

                if im_sol is S.EmptySet:
                    raise ValueError(filldedent('''
                        %s contains imaginary parts which cannot be
                        made 0 for any value of %s satisfying the
                        inequality, leading to relations like I < 0.
                        '''  % (expr.subs(gen, _gen), _gen)))

                make_real = make_real.intersect(im_sol)

            sol_sets = [S.EmptySet]

            start = domain.inf
            if start in domain and valid(start) and start.is_finite:
                sol_sets.append(FiniteSet(start))

            for x in reals:
                end = x

                if valid(_pt(start, end)):
                    sol_sets.append(Interval(start, end, True, True))

                if x in singularities:
                    singularities.remove(x)
                else:
                    if x in discontinuities:
                        discontinuities.remove(x)
                        _valid = valid(x)
                    else:  # it's a solution
                        _valid = include_x
                    if _valid:
                        sol_sets.append(FiniteSet(x))

                start = end

            end = domain.sup
            if end in domain and valid(end) and end.is_finite:
                sol_sets.append(FiniteSet(end))

            if valid(_pt(start, end)):
                sol_sets.append(Interval.open(start, end))

            if im(expanded_e) != S.Zero and check:
                rv = (make_real).intersect(_domain)
            else:
                rv = Intersection(
                    (Union(*sol_sets)), make_real, _domain).subs(gen, _gen)

    return rv if not relational else rv.as_relational(_gen)


def _pt(start, end):
    """Return a point between start and end"""
    if not start.is_infinite and not end.is_infinite:
        pt = (start + end)/2
    elif start.is_infinite and end.is_infinite:
        pt = S.Zero
    else:
        if (start.is_infinite and start.is_extended_positive is None or
                end.is_infinite and end.is_extended_positive is None):
            raise ValueError('cannot proceed with unsigned infinite values')
        if (end.is_infinite and end.is_extended_negative or
                start.is_infinite and start.is_extended_positive):
            start, end = end, start
        # if possible, use a multiple of self which has
        # better behavior when checking assumptions than
        # an expression obtained by adding or subtracting 1
        if end.is_infinite:
            if start.is_extended_positive:
                pt = start*2
            elif start.is_extended_negative:
                pt = start*S.Half
            else:
                pt = start + 1
        elif start.is_infinite:
            if end.is_extended_positive:
                pt = end*S.Half
            elif end.is_extended_negative:
                pt = end*2
            else:
                pt = end - 1
    return pt


def _solve_inequality(ie, s, linear=False):
    """Return the inequality with s isolated on the left, if possible.
    If the relationship is non-linear, a solution involving And or Or
    may be returned. False or True are returned if the relationship
    is never True or always True, respectively.

    If `linear` is True (default is False) an `s`-dependent expression
    will be isolated on the left, if possible
    but it will not be solved for `s` unless the expression is linear
    in `s`. Furthermore, only "safe" operations which do not change the
    sense of the relationship are applied: no division by an unsigned
    value is attempted unless the relationship involves Eq or Ne and
    no division by a value not known to be nonzero is ever attempted.

    Examples
    ========

    >>> from sympy import Eq, Symbol
    >>> from sympy.solvers.inequalities import _solve_inequality as f
    >>> from sympy.abc import x, y

    For linear expressions, the symbol can be isolated:

    >>> f(x - 2 < 0, x)
    x < 2
    >>> f(-x - 6 < x, x)
    x > -3

    Sometimes nonlinear relationships will be False

    >>> f(x**2 + 4 < 0, x)
    False

    Or they may involve more than one region of values:

    >>> f(x**2 - 4 < 0, x)
    (-2 < x) & (x < 2)

    To restrict the solution to a relational, set linear=True
    and only the x-dependent portion will be isolated on the left:

    >>> f(x**2 - 4 < 0, x, linear=True)
    x**2 < 4

    Division of only nonzero quantities is allowed, so x cannot
    be isolated by dividing by y:

    >>> y.is_nonzero is None  # it is unknown whether it is 0 or not
    True
    >>> f(x*y < 1, x)
    x*y < 1

    And while an equality (or inequality) still holds after dividing by a
    non-zero quantity

    >>> nz = Symbol('nz', nonzero=True)
    >>> f(Eq(x*nz, 1), x)
    Eq(x, 1/nz)

    the sign must be known for other inequalities involving > or <:

    >>> f(x*nz <= 1, x)
    nz*x <= 1
    >>> p = Symbol('p', positive=True)
    >>> f(x*p <= 1, x)
    x <= 1/p

    When there are denominators in the original expression that
    are removed by expansion, conditions for them will be returned
    as part of the result:

    >>> f(x < x*(2/x - 1), x)
    (x < 1) & Ne(x, 0)
    """
    from sympy.solvers.solvers import denoms
    if s not in ie.free_symbols:
        return ie
    if ie.rhs == s:
        ie = ie.reversed
    if ie.lhs == s and s not in ie.rhs.free_symbols:
        return ie

    def classify(ie, s, i):
        # return True or False if ie evaluates when substituting s with
        # i else None (if unevaluated) or NaN (when there is an error
        # in evaluating)
        try:
            v = ie.subs(s, i)
            if v is S.NaN:
                return v
            elif v not in (True, False):
                return
            return v
        except TypeError:
            return S.NaN

    rv = None
    oo = S.Infinity
    expr = ie.lhs - ie.rhs
    try:
        p = Poly(expr, s)
        if p.degree() == 0:
            rv = ie.func(p.as_expr(), 0)
        elif not linear and p.degree() > 1:
            # handle in except clause
            raise NotImplementedError
    except (PolynomialError, NotImplementedError):
        if not linear:
            try:
                rv = reduce_rational_inequalities([[ie]], s)
            except PolynomialError:
                rv = solve_univariate_inequality(ie, s)
            # remove restrictions wrt +/-oo that may have been
            # applied when using sets to simplify the relationship
            okoo = classify(ie, s, oo)
            if okoo is S.true and classify(rv, s, oo) is S.false:
                rv = rv.subs(s < oo, True)
            oknoo = classify(ie, s, -oo)
            if (oknoo is S.true and
                    classify(rv, s, -oo) is S.false):
                rv = rv.subs(-oo < s, True)
                rv = rv.subs(s > -oo, True)
            if rv is S.true:
                rv = (s <= oo) if okoo is S.true else (s < oo)
                if oknoo is not S.true:
                    rv = And(-oo < s, rv)
        else:
            p = Poly(expr)

    conds = []
    if rv is None:
        e = p.as_expr()  # this is in expanded form
        # Do a safe inversion of e, moving non-s terms
        # to the rhs and dividing by a nonzero factor if
        # the relational is Eq/Ne; for other relationals
        # the sign must also be positive or negative
        rhs = 0
        b, ax = e.as_independent(s, as_Add=True)
        e -= b
        rhs -= b
        ef = factor_terms(e)
        a, e = ef.as_independent(s, as_Add=False)
        if (a.is_zero != False or  # don't divide by potential 0
                a.is_negative ==
                a.is_positive is None and  # if sign is not known then
                ie.rel_op not in ('!=', '==')): # reject if not Eq/Ne
            e = ef
            a = S.One
        rhs /= a
        if a.is_positive:
            rv = ie.func(e, rhs)
        else:
            rv = ie.reversed.func(e, rhs)

        # return conditions under which the value is
        # valid, too.
        beginning_denoms = denoms(ie.lhs) | denoms(ie.rhs)
        current_denoms = denoms(rv)
        for d in beginning_denoms - current_denoms:
            c = _solve_inequality(Eq(d, 0), s, linear=linear)
            if isinstance(c, Eq) and c.lhs == s:
                if classify(rv, s, c.rhs) is S.true:
                    # rv is permitting this value but it shouldn't
                    conds.append(~c)
        for i in (-oo, oo):
            if (classify(rv, s, i) is S.true and
                    classify(ie, s, i) is not S.true):
                conds.append(s < i if i is oo else i < s)

    conds.append(rv)
    return And(*conds)


def _reduce_inequalities(inequalities, symbols):
    # helper for reduce_inequalities

    poly_part, abs_part = {}, {}
    other = []

    for inequality in inequalities:

        expr, rel = inequality.lhs, inequality.rel_op  # rhs is 0

        # check for gens using atoms which is more strict than free_symbols to
        # guard against EX domain which won't be handled by
        # reduce_rational_inequalities
        gens = expr.atoms(Symbol)

        if len(gens) == 1:
            gen = gens.pop()
        else:
            common = expr.free_symbols & symbols
            if len(common) == 1:
                gen = common.pop()
                other.append(_solve_inequality(Relational(expr, 0, rel), gen))
                continue
            else:
                raise NotImplementedError(filldedent('''
                    inequality has more than one symbol of interest.
                    '''))

        if expr.is_polynomial(gen):
            poly_part.setdefault(gen, []).append((expr, rel))
        else:
            components = expr.find(lambda u:
                u.has(gen) and (
                u.is_Function or u.is_Pow and not u.exp.is_Integer))
            if components and all(isinstance(i, Abs) for i in components):
                abs_part.setdefault(gen, []).append((expr, rel))
            else:
                other.append(_solve_inequality(Relational(expr, 0, rel), gen))

    poly_reduced = [reduce_rational_inequalities([exprs], gen) for gen, exprs in poly_part.items()]
    abs_reduced = [reduce_abs_inequalities(exprs, gen) for gen, exprs in abs_part.items()]

    return And(*(poly_reduced + abs_reduced + other))


def reduce_inequalities(inequalities, symbols=[]):
    """Reduce a system of inequalities with rational coefficients.

    Examples
    ========

    >>> from sympy.abc import x, y
    >>> from sympy import reduce_inequalities

    >>> reduce_inequalities(0 <= x + 3, [])
    (-3 <= x) & (x < oo)

    >>> reduce_inequalities(0 <= x + y*2 - 1, [x])
    (x < oo) & (x >= 1 - 2*y)
    """
    if not iterable(inequalities):
        inequalities = [inequalities]
    inequalities = [sympify(i) for i in inequalities]

    gens = set().union(*[i.free_symbols for i in inequalities])

    if not iterable(symbols):
        symbols = [symbols]
    symbols = (set(symbols) or gens) & gens
    if any(i.is_extended_real is False for i in symbols):
        raise TypeError(filldedent('''
            inequalities cannot contain symbols that are not real.
            '''))

    # make vanilla symbol real
    recast = {i: Dummy(i.name, extended_real=True)
        for i in gens if i.is_extended_real is None}
    inequalities = [i.xreplace(recast) for i in inequalities]
    symbols = {i.xreplace(recast) for i in symbols}

    # prefilter
    keep = []
    for i in inequalities:
        if isinstance(i, Relational):
            i = i.func(i.lhs.as_expr() - i.rhs.as_expr(), 0)
        elif i not in (True, False):
            i = Eq(i, 0)
        if i == True:
            continue
        elif i == False:
            return S.false
        if i.lhs.is_number:
            raise NotImplementedError(
                "could not determine truth value of %s" % i)
        keep.append(i)
    inequalities = keep
    del keep

    # solve system
    rv = _reduce_inequalities(inequalities, symbols)

    # restore original symbols and return
    return rv.xreplace({v: k for k, v in recast.items()})