switching to high quality piper tts and added label translations
This commit is contained in:
Matthias Hinrichs
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from sympy.core.singleton import S
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from sympy.sets.sets import Set
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from sympy.calculus.singularities import singularities
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from sympy.core import Expr, Add
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from sympy.core.function import Lambda, FunctionClass, diff, expand_mul
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from sympy.core.numbers import Float, oo
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from sympy.core.symbol import Dummy, symbols, Wild
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from sympy.functions.elementary.exponential import exp, log
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from sympy.functions.elementary.miscellaneous import Min, Max
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from sympy.logic.boolalg import true
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from sympy.multipledispatch import Dispatcher
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from sympy.sets import (imageset, Interval, FiniteSet, Union, ImageSet,
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Intersection, Range, Complement)
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from sympy.sets.sets import EmptySet, is_function_invertible_in_set
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from sympy.sets.fancysets import Integers, Naturals, Reals
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from sympy.functions.elementary.exponential import match_real_imag
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_x, _y = symbols("x y")
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FunctionUnion = (FunctionClass, Lambda)
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_set_function = Dispatcher('_set_function')
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@_set_function.register(FunctionClass, Set)
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def _(f, x):
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return None
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@_set_function.register(FunctionUnion, FiniteSet)
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def _(f, x):
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return FiniteSet(*map(f, x))
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@_set_function.register(Lambda, Interval)
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def _(f, x):
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from sympy.solvers.solveset import solveset
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from sympy.series import limit
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# TODO: handle functions with infinitely many solutions (eg, sin, tan)
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# TODO: handle multivariate functions
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expr = f.expr
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if len(expr.free_symbols) > 1 or len(f.variables) != 1:
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return
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var = f.variables[0]
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if not var.is_real:
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if expr.subs(var, Dummy(real=True)).is_real is False:
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return
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if expr.is_Piecewise:
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result = S.EmptySet
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domain_set = x
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for (p_expr, p_cond) in expr.args:
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if p_cond is true:
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intrvl = domain_set
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else:
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intrvl = p_cond.as_set()
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intrvl = Intersection(domain_set, intrvl)
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if p_expr.is_Number:
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image = FiniteSet(p_expr)
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else:
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image = imageset(Lambda(var, p_expr), intrvl)
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result = Union(result, image)
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# remove the part which has been `imaged`
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domain_set = Complement(domain_set, intrvl)
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if domain_set is S.EmptySet:
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break
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return result
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if not x.start.is_comparable or not x.end.is_comparable:
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return
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try:
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from sympy.polys.polyutils import _nsort
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sing = list(singularities(expr, var, x))
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if len(sing) > 1:
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sing = _nsort(sing)
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except NotImplementedError:
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return
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if x.left_open:
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_start = limit(expr, var, x.start, dir="+")
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elif x.start not in sing:
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_start = f(x.start)
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if x.right_open:
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_end = limit(expr, var, x.end, dir="-")
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elif x.end not in sing:
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_end = f(x.end)
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if len(sing) == 0:
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soln_expr = solveset(diff(expr, var), var)
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if not (isinstance(soln_expr, FiniteSet)
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or soln_expr is S.EmptySet):
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return
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solns = list(soln_expr)
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extr = [_start, _end] + [f(i) for i in solns
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if i.is_real and i in x]
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start, end = Min(*extr), Max(*extr)
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left_open, right_open = False, False
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if _start <= _end:
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# the minimum or maximum value can occur simultaneously
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# on both the edge of the interval and in some interior
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# point
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if start == _start and start not in solns:
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left_open = x.left_open
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if end == _end and end not in solns:
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right_open = x.right_open
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else:
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if start == _end and start not in solns:
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left_open = x.right_open
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if end == _start and end not in solns:
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right_open = x.left_open
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return Interval(start, end, left_open, right_open)
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else:
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return imageset(f, Interval(x.start, sing[0],
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x.left_open, True)) + \
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Union(*[imageset(f, Interval(sing[i], sing[i + 1], True, True))
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for i in range(0, len(sing) - 1)]) + \
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imageset(f, Interval(sing[-1], x.end, True, x.right_open))
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@_set_function.register(FunctionClass, Interval)
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def _(f, x):
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if f == exp:
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return Interval(exp(x.start), exp(x.end), x.left_open, x.right_open)
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elif f == log:
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return Interval(log(x.start), log(x.end), x.left_open, x.right_open)
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return ImageSet(Lambda(_x, f(_x)), x)
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@_set_function.register(FunctionUnion, Union)
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def _(f, x):
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return Union(*(imageset(f, arg) for arg in x.args))
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@_set_function.register(FunctionUnion, Intersection)
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def _(f, x):
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# If the function is invertible, intersect the maps of the sets.
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if is_function_invertible_in_set(f, x):
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return Intersection(*(imageset(f, arg) for arg in x.args))
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else:
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return ImageSet(Lambda(_x, f(_x)), x)
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@_set_function.register(FunctionUnion, EmptySet)
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def _(f, x):
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return x
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@_set_function.register(FunctionUnion, Set)
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def _(f, x):
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return ImageSet(Lambda(_x, f(_x)), x)
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@_set_function.register(FunctionUnion, Range)
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def _(f, self):
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if not self:
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return S.EmptySet
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if not isinstance(f.expr, Expr):
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return
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if self.size == 1:
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return FiniteSet(f(self[0]))
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if f is S.IdentityFunction:
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return self
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x = f.variables[0]
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expr = f.expr
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# handle f that is linear in f's variable
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if x not in expr.free_symbols or x in expr.diff(x).free_symbols:
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return
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if self.start.is_finite:
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F = f(self.step*x + self.start) # for i in range(len(self))
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else:
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F = f(-self.step*x + self[-1])
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F = expand_mul(F)
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if F != expr:
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return imageset(x, F, Range(self.size))
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@_set_function.register(FunctionUnion, Integers)
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def _(f, self):
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expr = f.expr
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if not isinstance(expr, Expr):
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return
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n = f.variables[0]
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if expr == abs(n):
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return S.Naturals0
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# f(x) + c and f(-x) + c cover the same integers
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# so choose the form that has the fewest negatives
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c = f(0)
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fx = f(n) - c
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f_x = f(-n) - c
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neg_count = lambda e: sum(_.could_extract_minus_sign()
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for _ in Add.make_args(e))
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if neg_count(f_x) < neg_count(fx):
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expr = f_x + c
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a = Wild('a', exclude=[n])
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b = Wild('b', exclude=[n])
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match = expr.match(a*n + b)
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if match and match[a] and (
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not match[a].atoms(Float) and
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not match[b].atoms(Float)):
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# canonical shift
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a, b = match[a], match[b]
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if a in [1, -1]:
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# drop integer addends in b
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nonint = []
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for bi in Add.make_args(b):
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if not bi.is_integer:
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nonint.append(bi)
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b = Add(*nonint)
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if b.is_number and a.is_real:
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# avoid Mod for complex numbers, #11391
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br, bi = match_real_imag(b)
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if br and br.is_comparable and a.is_comparable:
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br %= a
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b = br + S.ImaginaryUnit*bi
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elif b.is_number and a.is_imaginary:
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br, bi = match_real_imag(b)
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ai = a/S.ImaginaryUnit
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if bi and bi.is_comparable and ai.is_comparable:
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bi %= ai
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b = br + S.ImaginaryUnit*bi
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expr = a*n + b
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if expr != f.expr:
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return ImageSet(Lambda(n, expr), S.Integers)
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@_set_function.register(FunctionUnion, Naturals)
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def _(f, self):
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expr = f.expr
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if not isinstance(expr, Expr):
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return
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x = f.variables[0]
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if not expr.free_symbols - {x}:
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if expr == abs(x):
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if self is S.Naturals:
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return self
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return S.Naturals0
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step = expr.coeff(x)
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c = expr.subs(x, 0)
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if c.is_Integer and step.is_Integer and expr == step*x + c:
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if self is S.Naturals:
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c += step
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if step > 0:
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if step == 1:
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if c == 0:
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return S.Naturals0
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elif c == 1:
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return S.Naturals
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return Range(c, oo, step)
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return Range(c, -oo, step)
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@_set_function.register(FunctionUnion, Reals)
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def _(f, self):
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expr = f.expr
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if not isinstance(expr, Expr):
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return
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return _set_function(f, Interval(-oo, oo))
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