Release 0.42.2: HISTORY.md entry and missed Mooncake compat

[shravanngoswamii]

No description provided.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 81.64%. Comparing base (551ab58) to head (a4dd1cf).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1437   +/-   ##
=======================================
  Coverage   81.64%   81.64%           
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  Files          50       50           
  Lines        3579     3579           
=======================================
  Hits         2922     2922           
  Misses        657      657           

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[github-actions]

DynamicPPL.jl documentation for PR #1437 is available at:
https://TuringLang.github.io/DynamicPPL.jl/previews/PR1437/

[github-actions]

Benchmarks @ a4dd1cf

Performance Ratio: gradient time divided by log-density time.

For very small models these ratios are noisy across runs and machines; raw primal and gradient timings are more reliable. The benchmarks are aimed at DynamicPPL developers and mainly catch obvious allocation or type-stability regressions. See benchmark notes for details.

===================================================================================================
                                               eval                       gradient                 
                                            ----------  -------------------------------------------
Model                        dim    linked      primal     FwdDiff    RvsDiff    Mooncake    Enzyme
---------------------------------------------------------------------------------------------------
Simple assume observe*         1     false     4.63 ns       12.83    1540.20       43.56     12.44
Simple assume observe*         1      true     4.63 ns       12.65    1673.27       39.68     12.24
Smorgasbord                  201     false      6.0 μs       70.62     136.54        6.87      9.87
Smorgasbord                  201      true     7.62 μs       77.08     150.43        6.34      6.87
Loop univariate 1k          1000     false     17.6 μs      939.87     305.01        8.22      6.67
Loop univariate 1k          1000      true     18.9 μs     1407.81     286.98        7.44      6.22
Multivariate 1k             1000     false     21.7 μs      344.06      79.57        9.15      3.11
Multivariate 1k             1000      true     27.4 μs      259.62      57.74        8.28      3.17
Loop univariate 10k        10000     false    172.0 μs    11722.19     326.20        8.42      6.76
Loop univariate 10k        10000      true    186.0 μs    11603.82     304.79        7.67      6.25
Multivariate 10k           10000     false    193.0 μs     4928.09      90.34       11.44      2.30
Multivariate 10k           10000      true    193.0 μs     5026.10      90.71       11.46      2.26
Dynamic                       15     false     1.38 μs         err      43.78       15.92     11.68
Dynamic                       10      true     1.93 μs        2.02      56.33       19.40     18.83
Submodel*                      1     false     4.63 ns       12.80    1674.28       43.38     12.31
Submodel*                      1      true     4.64 ns       12.62    1783.85       40.46     12.30
LDA                           12      true     23.5 μs        0.46       2.02       33.20       err
===================================================================================================

Main @ 551ab58

===================================================================================================
                                               eval                       gradient                 
                                            ----------  -------------------------------------------
Model                        dim    linked      primal     FwdDiff    RvsDiff    Mooncake    Enzyme
---------------------------------------------------------------------------------------------------
Simple assume observe*         1     false     4.63 ns       12.65    1525.13       41.74     12.63
Simple assume observe*         1      true     4.63 ns       12.60    1661.52       40.05     12.30
Smorgasbord                  201     false     6.01 μs       72.80     131.66        6.94      9.70
Smorgasbord                  201      true     7.65 μs       76.72     138.80        6.33      6.94
Loop univariate 1k          1000     false     17.6 μs      990.32     301.91        8.25      6.74
Loop univariate 1k          1000      true     19.2 μs     1484.78     284.31        7.45      6.26
Multivariate 1k             1000     false     22.4 μs      371.71      76.86        9.91      2.90
Multivariate 1k             1000      true     20.8 μs      275.73      57.79       10.91      2.99
Loop univariate 10k        10000     false    173.0 μs    11739.11     328.18        8.29      6.81
Loop univariate 10k        10000      true    188.0 μs    12119.70     305.09        7.68      6.24
Multivariate 10k           10000     false    195.0 μs     6097.29      88.98       10.61      2.13
Multivariate 10k           10000      true    196.0 μs     4760.06      83.48       11.31      2.28
Dynamic                       15     false     1.41 μs         err      42.22       14.65     10.74
Dynamic                       10      true     1.99 μs        1.90      54.47       19.13     18.24
Submodel*                      1     false     4.64 ns       12.64    1660.30       42.42     12.49
Submodel*                      1      true     4.64 ns       12.54    2001.71       40.01     12.47
LDA                           12      true     22.8 μs        0.47       1.91       31.82       err
===================================================================================================

Environment

Julia Version 1.11.9
Commit 53a02c0720c (2026-02-06 00:27 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × AMD EPYC 7763 64-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)