code: def test_issue_19534():
      dt = symbols("dt", real=True)
      expr = (
          16
          * dt
          * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
          / 45
          + 49
          * dt
          * (
              -0.049335189898860408029 * dt * (2.0 * dt + 1.0)
              + 0.29601113939316244817
              * dt
              * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
              - 0.12564355335492979587
              * dt
              * (
                  0.074074074074074074074 * dt * (2.0 * dt + 1.0)
                  + 0.2962962962962962963
                  * dt
                  * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
                  + 0.96296296296296296296 * dt
                  + 1.0
              )
              + 0.051640768506639183825 * dt
              + dt * (1 / 2 - sqrt(21) / 14)
              + 1.0
          )
          / 180
          + 49
          * dt
          * (
              -0.23637909581542530626 * dt * (2.0 * dt + 1.0)
              - 0.74817562366625959291
              * dt
              * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
              + 0.88085458023927036857
              * dt
              * (
                  0.074074074074074074074 * dt * (2.0 * dt + 1.0)
                  + 0.2962962962962962963
                  * dt
                  * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
                  + 0.96296296296296296296 * dt
                  + 1.0
              )
              + 2.1165151389911680013
              * dt
              * (
                  -0.049335189898860408029 * dt * (2.0 * dt + 1.0)
                  + 0.29601113939316244817
                  * dt
                  * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
                  - 0.12564355335492979587
                  * dt
                  * (
                      0.074074074074074074074 * dt * (2.0 * dt + 1.0)
                      + 0.2962962962962962963
                      * dt
                      * (
                          0.125 * dt * (2.0 * dt + 1.0)
                          + 0.875 * dt
                          + 1.0
                      )
                      + 0.96296296296296296296 * dt
                      + 1.0
                  )
                  + 0.22431393315265061193 * dt
                  + 1.0
              )
              - 1.1854881643947648988 * dt
              + dt * (sqrt(21) / 14 + 1 / 2)
              + 1.0
          )
          / 180
          + dt
          * (
              0.66666666666666666667 * dt * (2.0 * dt + 1.0)
              + 6.0173399699313066769
              * dt
              * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
              - 4.1117044797036320069
              * dt
              * (
                  0.074074074074074074074 * dt * (2.0 * dt + 1.0)
                  + 0.2962962962962962963
                  * dt
                  * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
                  + 0.96296296296296296296 * dt
                  + 1.0
              )
              - 7.0189140975801991157
              * dt
              * (
                  -0.049335189898860408029 * dt * (2.0 * dt + 1.0)
                  + 0.29601113939316244817
                  * dt
                  * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
                  - 0.12564355335492979587
                  * dt
                  * (
                      0.074074074074074074074 * dt * (2.0 * dt + 1.0)
                      + 0.2962962962962962963
                      * dt
                      * (
                          0.125 * dt * (2.0 * dt + 1.0)
                          + 0.875 * dt
                          + 1.0
                      )
                      + 0.96296296296296296296 * dt
                      + 1.0
                  )
                  + 0.22431393315265061193 * dt
                  + 1.0
              )
              + 0.94010945196161777522
              * dt
              * (
                  -0.23637909581542530626 * dt * (2.0 * dt + 1.0)
                  - 0.74817562366625959291
                  * dt
                  * (0.125 * dt * (2.0 * dt + 1.0) + 0.875 * dt + 1.0)
                  + 0.88085458023927036857
                  * dt
                  * (
                      0.074074074074074074074 * dt * (2.0 * dt + 1.0)
                      + 0.2962962962962962963
                      * dt
                      * (
                          0.125 * dt * (2.0 * dt + 1.0)
                          + 0.875 * dt
                          + 1.0
                      )
                      + 0.96296296296296296296 * dt
                      + 1.0
                  )
                  + 2.1165151389911680013
                  * dt
                  * (
                      -0.049335189898860408029 * dt * (2.0 * dt + 1.0)
                      + 0.29601113939316244817
                      * dt
                      * (
                          0.125 * dt * (2.0 * dt + 1.0)
                          + 0.875 * dt
                          + 1.0
                      )
                      - 0.12564355335492979587
                      * dt
                      * (
                          0.074074074074074074074
                          * dt
                          * (2.0 * dt + 1.0)
                          + 0.2962962962962962963
                          * dt
                          * (
                              0.125 * dt * (2.0 * dt + 1.0)
                              + 0.875 * dt
                              + 1.0
                          )
                          + 0.96296296296296296296 * dt
                          + 1.0
                      )
                      + 0.22431393315265061193 * dt
                      + 1.0
                  )
                  - 0.35816132904077632692 * dt
                  + 1.0
              )
              + 5.5065024887242400038 * dt
              + 1.0
          )
          / 20
          + dt / 20
          + 1
      )
  
      assert N(expr.series(dt, 0, 8), 20) == (
          -Float("0.00092592592592592596126289", precision=70) * dt**7
          + Float("0.0027777777777777783174695", precision=70) * dt**6
          + Float("0.016666666666666656027029", precision=70) * dt**5
          + Float("0.083333333333333300951828", precision=70) * dt**4
          + Float("0.33333333333333337034077", precision=70) * dt**3
          + Float("1.0", precision=70) * dt**2
          + Float("1.0", precision=70) * dt
          + Float("1.0", precision=70)
      )
  
imports: from sympy.core.evalf import N
  from sympy.core.function import Derivative, Function, PoleError, Subs
  from sympy.core.numbers import E, Float, Rational, oo, pi, I
  from sympy.core.singleton import S
  from sympy.core.symbol import Symbol, symbols
  from sympy.functions.elementary.exponential import LambertW, exp, log
  from sympy.functions.elementary.miscellaneous import sqrt
  from sympy.functions.elementary.trigonometric import atan, cos, sin
  from sympy.functions.special.gamma_functions import gamma
  from sympy.integrals.integrals import Integral, integrate
  from sympy.series.order import O
  from sympy.series.series import series
  from sympy.abc import x, y, n, k
  from sympy.testing.pytest import raises
  from sympy.core import EulerGamma
  from sympy.series.acceleration import richardson, shanks
  from sympy.concrete.summations import Sum
  from sympy.core.numbers import Integer
label_desc: Use image node_id 29 for calling a global function with example usage: test_issue_19534() without return types