code: def _NegativePredicate_number(expr, assumptions):
      r, i = expr.as_real_imag()
      # If the imaginary part can symbolically be shown to be zero then
      # we just evaluate the real part; otherwise we evaluate the imaginary
      # part to see if it actually evaluates to zero and if it does then
      # we make the comparison between the real part and zero.
      if not i:
          r = r.evalf(2)
          if r._prec != 1:
              return r < 0
      else:
          i = i.evalf(2)
          if i._prec != 1:
              if i != 0:
                  return False
              r = r.evalf(2)
              if r._prec != 1:
                  return r < 0
  
imports: from sympy.assumptions import Q, ask
  from sympy.core import Add, Basic, Expr, Mul, Pow
  from sympy.core.logic import fuzzy_not, fuzzy_and, fuzzy_or
  from sympy.core.numbers import E, ImaginaryUnit, NaN, I, pi
  from sympy.functions import Abs, acos, acot, asin, atan, exp, factorial, log
  from sympy.matrices import Determinant, Trace
  from sympy.matrices.expressions.matexpr import MatrixElement
  from sympy.multipledispatch import MDNotImplementedError
  from ..predicates.order import NegativePredicate, NonNegativePredicate, NonZeroPredicate, ZeroPredicate, NonPositivePredicate, PositivePredicate, ExtendedNegativePredicate, ExtendedNonNegativePredicate, ExtendedNonPositivePredicate, ExtendedNonZeroPredicate, ExtendedPositivePredicate
label_desc: Use image node_id 1 for calling a global function with example usage: _NegativePredicate_number(expr, assumptions) and returns: unknown, False, unknown