#
#
# test_that("We get output at all",
# {
#
# set.seed(0)
# W <- matrix(sapply(1:10,function(x) rpois(1,1000)),
# ncol = 5)
# X <- matrix(1,ncol = 1, nrow = 2)
# Z <- matrix(1,nrow = 2, ncol = 1)
# Z_tilde <- matrix(0,nrow = 2, ncol = 1)
# Z_tilde_gamma_cols <- 1
# gammas <- apply(W,1,function(x) log(sum(x)))
# gammas_fixed_indices <- rep(F,2)
# P <- matrix(1/5, nrow = 1, ncol = 5)
# P_fixed_indices <- matrix(FALSE, nrow = 1, ncol = 5)
# B <- matrix(0,ncol = 5, nrow = 1)
# B_fixed_indices <- matrix(TRUE, ncol = 5, nrow = 1)
# X_tilde <- matrix(0,ncol = 1, nrow = 1)
# P_tilde <- matrix(1/5,ncol = 5, nrow = 1)
# P_tilde_fixed_indices <- matrix(TRUE, ncol = 5, nrow = 1)
# gamma_tilde <- matrix(0,nrow = 1, ncol = 1)
# gamma_tilde_fixed_indices <- matrix(TRUE, nrow = 1, ncol = 1)
#
#
# parameter_dfs <- parameters_to_dataframes(P,
# P_fixed_indices,
# P_tilde,
# P_tilde_fixed_indices,
# B,
# B_fixed_indices,
# gammas,
# gammas_fixed_indices,
# gamma_tilde,
# gamma_tilde_fixed_indices)
#
#
# dfs_to_derivs(varying_df = parameter_dfs$varying,
# varying_lr_df = NULL,
# fixed_df = parameter_dfs$fixed_df,
# X = X,
# Z = Z,
# X_tilde = X_tilde,
# Z_tilde = Z_tilde,
# Z_tilde_gamma_cols = Z_tilde_gamma_cols,
# criterion = "Poisson",
# gmm_inv_wts = NULL)
#
# })
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