Running 'test-all.R' [1s]
  Running 'test_advanced.R' [3s]
  Running 'test_auxurng.R' [1s]
  Running 'test_deprecated.R' [1s]
  Running 'test_details.R' [1s]
  Running 'test_distributions_cont.R' [3s]
  Running 'test_distributions_discr.R' [1s]
  Running 'test_packed.R' [1s]
  Running 'test_routines.R' [1s]
  Running 'test_ud.R' [3s]
  Running 'test_universal.R' [10s]
  Running 'test_unuran.R' [9s]
Running the tests in 'tests/test_distributions_cont.R' failed.
Complete output:
  > #############################################################################
  > ##                                                                         ##
  > ##   Tests for wrapper functions for special distributions                 ##
  > ##                                                                         ##
  > #############################################################################
  > ##                                                                         ##
  > ##   Continuous univariate distributions                                   ##
  > ##                                                                         ##
  > #############################################################################
  > ##                                                                         ##
  > ##   Remark: You must use named arguments when calling the test routines!  ##
  > ##                                                                         ##
  > #############################################################################
  > 
  > ## --- Load test routines and test parameters -------------------------------
  > 
  > source("test_routines.R")
  > 
  > ## --- Chi^2 goodness-of-fit test -------------------------------------------
  > 
  > ## Beta distribution - (replacement for rbeta) ------------------------------
  > for (i in 1:n.rep.domains)
  +         unur.test.cont("beta", shape1=runif(1,0.2,10), shape2=runif(1,0.2,10), 
  +                        domain=sort(runif(2)))
  beta(2.22378227356821,3.77218591575511) domain=(0.43479,0.992556): chisq test PASSed with p-value=0.749292
  beta(3.45948350327089,2.22857310450636) domain=(0.00336177,0.536691): chisq test PASSed with p-value=0.181829
  > for (i in 1:n.rep.params)
  +         unur.test.cont("beta", shape1=runif(1,0.2,10), shape2=runif(1,0.2,10))
  beta(1.14490027269349,8.56288642049767): chisq test PASSed with p-value=0.509976
  beta(1.79185208934359,5.86179035059176): chisq test PASSed with p-value=0.396626
  beta(0.275082241510972,0.249081689771265): [UNU.RAN - warning] (serious) round-off error: one or more intervals very short; possibly due to numerical problems with a pole or very flat tail
  chisq test PASSed with p-value=0.63584
  beta(7.03369517088868,6.32469660611823): chisq test PASSed with p-value=0.0231294
  beta(5.49981983471662,2.74511580960825): chisq test PASSed with p-value=0.292907
  > 
  > ## Burr family of distributions ---------------------------------------------
  > 
  > ## Cauchy distribution - (replacement for rcauchy) --------------------------
  > unur.test.cont("cauchy")
  cauchy(): chisq test PASSed with p-value=0.538875
  > for (i in 1:n.rep.domains)
  +         unur.test.cont("cauchy", domain=sort(rnorm(2)))
  cauchy() domain=(-0.517411,0.478156): chisq test PASSed with p-value=0.460854
  cauchy() domain=(0.179818,2.17511): chisq test PASSed with p-value=0.602957
  > for (i in 1:n.rep.params)
  +         unur.test.cont("cauchy", location=rcauchy(1), scale=rgamma(1,shape=2))
  cauchy(0.878241169862791,2.45603422460296): chisq test PASSed with p-value=0.450124
  cauchy(-4.06484785663129,2.66844186961916): chisq test PASSed with p-value=0.918536
  cauchy(-5.78076423841061,2.2133004012002): chisq test PASSed with p-value=0.535152
  cauchy(0.212901049490333,1.79735053943844): chisq test PASSed with p-value=0.449529
  cauchy(-0.237405416413091,2.15024724291083): chisq test PASSed with p-value=0.456079
  > 
  > ## Chi distribution ---------------------------------------------------------
  > 
  > ## Chi^2 distribution - (replacement for rchisq) ----------------------------
  > for (i in 1:n.rep.domains)
  +         unur.test.cont("chisq", df=3, domain=sort(rexp(2)))
  chisq(3) domain=(1.25171,1.87717): chisq test PASSed with p-value=0.210825
  chisq(3) domain=(0.335364,0.512823): chisq test PASSed with p-value=0.0942606
  > for (i in 1:n.rep.params)
  +         unur.test.cont("chisq", df=rgamma(1,shape=2))
  chisq(0.764784418458023): chisq test PASSed with p-value=0.867663
  chisq(1.8983105159118): chisq test PASSed with p-value=0.271348
  chisq(0.639759774475694): chisq test PASSed with p-value=0.888491
  chisq(0.00731525886581985): [UNU.RAN - warning] (serious) round-off error: one or more intervals very short; possibly due to numerical problems with a pole or very flat tail
  Warning: first chisq test FAILed with p-value=0
  [UNU.RAN - warning] (serious) round-off error: one or more intervals very short; possibly due to numerical problems with a pole or very flat tail
  Error: chisq test FAILED!  p-value=0
  Execution halted