Running 'testthat.R' [136s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > 
  > # Machine Learning
  > library(tidymodels)
  -- Attaching packages -------------------------------------- tidymodels 0.1.2 --
  v broom     0.7.6      v recipes   0.1.16
  v dials     0.0.9      v rsample   0.0.9 
  v dplyr     1.0.5      v tibble    3.1.1 
  v ggplot2   3.3.3      v tidyr     1.1.3 
  v infer     0.5.4      v tune      0.1.3 
  v modeldata 0.1.0      v workflows 0.2.2 
  v parsnip   0.1.5      v yardstick 0.0.8 
  v purrr     0.3.4      
  -- Conflicts ----------------------------------------- tidymodels_conflicts() --
  x purrr::discard() masks scales::discard()
  x dplyr::filter()  masks stats::filter()
  x purrr::is_null() masks testthat::is_null()
  x dplyr::lag()     masks stats::lag()
  x tidyr::matches() masks rsample::matches(), dplyr::matches(), testthat::matches()
  x recipes::step()  masks stats::step()
  > library(modeltime)
  > library(modeltime.ensemble)
  Loading required package: modeltime.resample
  > library(modeltime.resample)
  > 
  > # Model dependencies
  > library(xgboost)
  
  Attaching package: 'xgboost'
  
  The following object is masked from 'package:dplyr':
  
      slice
  
  > library(earth)
  Loading required package: Formula
  Loading required package: plotmo
  Loading required package: plotrix
  
  Attaching package: 'plotrix'
  
  The following object is masked from 'package:scales':
  
      rescale
  
  Loading required package: TeachingDemos
  > library(glmnet)
  Loading required package: Matrix
  
  Attaching package: 'Matrix'
  
  The following objects are masked from 'package:tidyr':
  
      expand, pack, unpack
  
  Loaded glmnet 4.1-1
  > 
  > # Core Packages
  > library(tidyverse)
  -- Attaching packages --------------------------------------- tidyverse 1.3.1 --
  v readr   1.4.0     v forcats 0.5.1
  v stringr 1.4.0     
  -- Conflicts ------------------------------------------ tidyverse_conflicts() --
  x readr::col_factor() masks scales::col_factor()
  x purrr::discard()    masks scales::discard()
  x Matrix::expand()    masks tidyr::expand()
  x dplyr::filter()     masks stats::filter()
  x stringr::fixed()    masks recipes::fixed()
  x purrr::is_null()    masks testthat::is_null()
  x dplyr::lag()        masks stats::lag()
  x tidyr::matches()    masks rsample::matches(), dplyr::matches(), testthat::matches()
  x Matrix::pack()      masks tidyr::pack()
  x xgboost::slice()    masks dplyr::slice()
  x readr::spec()       masks yardstick::spec()
  x Matrix::unpack()    masks tidyr::unpack()
  > library(timetk)
  > library(lubridate)
  
  Attaching package: 'lubridate'
  
  The following objects are masked from 'package:base':
  
      date, intersect, setdiff, union
  
  > 
  > test_check("modeltime.ensemble")
  -- Modeltime Ensemble -------------------------------------------
  Ensemble of 3 Models (MEDIAN)
  
  # Modeltime Table
  # A tibble: 3 x 3
    .model_id .model     .model_desc            
        <int> <list>     <chr>                  
  1         1 <workflow> ARIMA(0,1,1)(0,1,1)[12]
  2         2 <workflow> PROPHET                
  3         3 <workflow> GLMNET                 
  -- Modeltime Ensemble -------------------------------------------
  Ensemble of 3 Models (GLMNET STACK)
  
  # Modeltime Table
  # A tibble: 3 x 3
    .model_id .model     .model_desc            
        <int> <list>     <chr>                  
  1         1 <workflow> ARIMA(0,1,1)(0,1,1)[12]
  2         2 <workflow> PROPHET                
  3         3 <workflow> GLMNET                 
  -- Modeltime Ensemble -------------------------------------------
  Ensemble of 3 Models (WEIGHTED)
  
  # Modeltime Table
  # A tibble: 3 x 4
    .model_id .model     .model_desc             .loadings
        <int> <list>     <chr>                       <dbl>
  1         1 <workflow> ARIMA(0,1,1)(0,1,1)[12]     0.5  
  2         2 <workflow> PROPHET                     0.333
  3         3 <workflow> GLMNET                      0.167
  == Failed tests ================================================================
  -- Error (test-ensemble_model_spec.R:26:4): ensemble_model_spec(): Linear Regression (No Tuning) --
  Error: .onLoad failed in loadNamespace() for 'tictoc', details:
    call: assign(".ticmsg", Stack(), envir = baseenv())
    error: cannot add binding of '.ticmsg' to the base environment
  Backtrace:
      x
   1. +-`%>%`(...) test-ensemble_model_spec.R:26:3
   2. +-modeltime.ensemble::ensemble_model_spec(...)
   3. +-modeltime.ensemble:::ensemble_model_spec.mdl_time_tbl(...)
   4. \-base::loadNamespace(x)
   5.   \-base:::runHook(".onLoad", env, package.lib, package)
  
  [ FAIL 1 | WARN 111 | SKIP 0 | PASS 124 ]
  Error: Test failures
  Execution halted