tests/testthat/_snaps/misc.md

In greta-dev/greta: Simple and Scalable Statistical Modelling in R

check_tf_version works

Code
  check_tf_version("error")
Condition
  Error in `check_tf_version()`:
  ! x The expected python packages are not available
  i We recommend installing them (in a fresh R session) with:
  `install_greta_deps()`
  or
  `reinstall_greta_deps()`
  (Note: Your R session should not have initialised Tensorflow yet.)
  i For more information, see `?install_greta_deps`

x The expected python packages are not available
i We recommend installing them (in a fresh R session) with:
`install_greta_deps()`
or
`reinstall_greta_deps()`
(Note: Your R session should not have initialised Tensorflow yet.)
i For more information, see `?install_greta_deps`

Code
  check_tf_version("message")
Message
  x The expected python packages are not available
  i We recommend installing them (in a fresh R session) with:
  `install_greta_deps()`
  or
  `reinstall_greta_deps()`
  (Note: Your R session should not have initialised Tensorflow yet.)
  i For more information, see `?install_greta_deps`

define and mcmc error informatively

Code
  model(variable())
Condition
  Error in `model()`:
  ! none of the <greta_array>s in the model are associated with a probability density, so a model cannot be defined

Code
  model(x)
Condition
  Error in `model()`:
  ! none of the <greta_array>s in the model are associated with a probability density, so a model cannot be defined

Code
  model()
Condition
  Error in `model()`:
  ! could not find any non-data <greta_array>s

Code
  model(bernoulli(0.5))
Condition
  Error in `check_unfixed_discrete_distributions()`:
  ! Model contains a discrete random variable that doesn't have a fixed value, so inference cannot be carried out.

Code
  model(x)
Condition
  Error in `model()`:
  ! none of the <greta_array>s in the model are unknown, so a model cannot be defined

Code
  draws <- mcmc(m, verbose = FALSE)
Condition
  Error in `mcmc()`:
  ! Data <greta_array>s cannot be sampled
  `x` is a data <greta_array>(s)

check_dims errors informatively

Code
  greta:::check_dims(a, c)
Condition
  Error:
  ! incompatible dimensions: 3x3, 2x2

disjoint graphs are checked

Code
  m <- model(a, b, c)
Condition
  Error in `model()`:
  ! the model contains 2 disjoint graphs one or more of these sub-graphs does not contain any <greta_array>s that are associated with a probability density, so a model cannot be defined

Code
  m <- model(a, b, d)
Condition
  Error in `model()`:
  ! the model contains 2 disjoint graphs one or more of these sub-graphs does not contain any <greta_array>s that are unknown, so a model cannot be defined

cleanly() handles TF errors nicely

Code
  cleanly(other_stop())
Condition
  Error in `cleanly()`:
  ! greta hit a tensorflow error:
  Error in other_stop(): Fetchez la vache!

greta-dev/greta documentation built on Dec. 21, 2024, 5:03 a.m.