Can't replicate R tidysynth results

Question

This is an odd sort of question, but I'm using the exact data and code from this github here: https://github.com/edunford/tidysynth

However, when I get to the code plotting trends, it turns out I'm plotting the trends for a synthetic vs. real Alabama, rather than the synthetic vs. real California, which is what it supposed to be happening -- and what the hithub results show!!

I am running this code in Rstudio on a laptop. How can the results be different? Why would it be showing a synthetic AL rather than synthetic CA?

All my code is below. Can somebody sanity-check me here -- do you get a trend for CA or for AL? I feel like I'm going crazy.

#install.packages("devtools")
#devtools::install_github("edunford/tidysynth")
require(tidysynth)
library(dplyr)

data("smoking")
smoking %>% dplyr::glimpse()
unique(smoking$state)

smoking_out <-
  
  smoking %>%
  
  synthetic_control(outcome = cigsale, 
                    unit = state, 
                    time = year, 
                    i_unit = "California", 
                    i_time = 1988, 
                    generate_placebos=TRUE 
  ) %>%
  
  generate_predictor(time_window = 1980:1988,
                   ln_income = mean(lnincome, na.rm = T),
                   ret_price = mean(retprice, na.rm = T),
                   youth = mean(age15to24, na.rm = T)) %>%
  
  generate_predictor(time_window = 1984:1988,
                     beer_sales = mean(beer, na.rm = T)) %>%
  
  generate_predictor(time_window = 1975,
                     cigsale_1975 = cigsale) %>%
  generate_predictor(time_window = 1980,
                     cigsale_1980 = cigsale) %>%
  generate_predictor(time_window = 1988,
                     cigsale_1988 = cigsale) %>%
  
  generate_weights(optimization_window = 1970:1988, 
                   margin_ipop = .02,sigf_ipop = 7,bound_ipop = 6 
  ) %>%
  
  generate_control()

smoking_out %>% plot_trends()

## This is the plot that is CLEARLY labeled as "Difference in synthetic control and observed Alabama"
smoking_out %>% plot_differences()

Oh -- And also, if I change generate_placebos=TRUE to FALSE in the synthetic_control() specifications, it doesn't run. (I was checking to see if it was stalling on another state via the placebo runs.)