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Pointpriors (#663)

* implement pointwise_logpriors

* implement varwise_logpriors

* remove pointwise_logpriors

* revert dot_assume to not explicitly resolve components of sum

* docstring varwise_logpriores

use loop for prior in example

Unfortunately cannot make it a jldoctest, because relies on Turing for sampling

* integrate pointwise_loglikelihoods and varwise_logpriors by pointwise_densities

* record single prior components

by forwarding dot_tilde_assume to tilde_assume

* forward dot_tilde_assume to tilde_assume   for Multivariate

* avoid recording prior components on leaf-prior-context

and avoid recording likelihoods when invoked with leaf-Likelihood context

* undeprecate pointwise_loglikelihoods and implement pointwise_prior_logdensities

mostly taken from #669

* drop vi instead of re-compute vi

bgctw first forwared dot_tilde_assume to get a correct vi
and then recomputed it for recording component prior densities.

Replaced this by the Hack of torfjelde that completely drops vi and recombines the value, so that assume is called only once for each varName,

* include docstrings of pointwise_logdensities
pointwise_prior_logdensities
int api.md docu

* Update src/pointwise_logdensities.jl remove commented code

Co-authored-by: Tor Erlend Fjelde <tor.github@gmail.com>

* Update src/pointwise_logdensities.jl remove commented code

Co-authored-by: Tor Erlend Fjelde <tor.github@gmail.com>

* Update test/pointwise_logdensities.jl rename m to model

Co-authored-by: Tor Erlend Fjelde <tor.github@gmail.com>

* Update test/pointwise_logdensities.jl remove unused code

Co-authored-by: Tor Erlend Fjelde <tor.github@gmail.com>

* Update test/pointwise_logdensities.jl rename m to model

Co-authored-by: Tor Erlend Fjelde <tor.github@gmail.com>

* Update test/pointwise_logdensities.jl rename m to model

Co-authored-by: Tor Erlend Fjelde <tor.github@gmail.com>

* Update src/test_utils.jl remove old code

Co-authored-by: Tor Erlend Fjelde <tor.github... (continued)

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