class_docstr: Student Skew t Distribution
  ----
  This class contains methods relating to the Student Skew t distribution for time series.
code: def logpdf_internal_prior(x, df, loc=0.0, scale=1.0, gamma=1.0):
      if x - loc < 0.0:
          return (
              np.log(2.0)
              - np.log(gamma + 1.0 / gamma)
              + ss.t.logpdf(
                  x=gamma * x, loc=loc * gamma, df=df, scale=scale
              )
          )
      else:
          return (
              np.log(2.0)
              - np.log(gamma + 1.0 / gamma)
              + ss.t.logpdf(
                  x=x / gamma, loc=loc / gamma, df=df, scale=scale
              )
          )
  
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
  from .flat import Flat
  from .normal import Normal
  from .gas_recursions import gas_recursion_skewt_orderone, gas_recursion_skewt_ordertwo
  from .gas_recursions import gasx_recursion_skewt_orderone, gasx_recursion_skewt_ordertwo
  from .gas_recursions import gas_llev_recursion_skewt_orderone, gas_llev_recursion_skewt_ordertwo
  from .gas_recursions import gas_llt_recursion_skewt_orderone, gas_llt_recursion_skewt_ordertwo
  from .gas_recursions import gas_reg_recursion_skewt_orderone, gas_reg_recursion_skewt_ordertwo
label_desc: Use image node_id 9 for calling the Skewt obj's underlying member method code with example usage: obj.logpdf_internal_prior(x, df, loc, scale, gamma) and returns: unknown, unknown