CRAN Package Check Results for Package pomdp

Last updated on 2022-03-10 06:50:33 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.0 5.04 76.44 81.48 OK
r-devel-linux-x86_64-debian-gcc 1.0.0 3.93 59.59 63.52 OK
r-devel-linux-x86_64-fedora-clang 1.0.0 97.23 OK
r-devel-linux-x86_64-fedora-gcc 1.0.0 86.61 OK
r-devel-windows-x86_64-new-UL 1.0.0 48.00 130.00 178.00 OK
r-devel-windows-x86_64-new-TK 1.0.0 OK
r-patched-linux-x86_64 1.0.0 4.83 72.58 77.41 OK
r-release-linux-x86_64 1.0.0 OK
r-release-macos-arm64 1.0.0 ERROR
r-release-macos-x86_64 1.0.0 OK
r-release-windows-ix86+x86_64 1.0.0 9.00 114.00 123.00 OK
r-oldrel-macos-x86_64 1.0.0 OK
r-oldrel-windows-ix86+x86_64 1.0.0 10.00 98.00 108.00 OK

Additional issues

M1mac noLD

Check Details

Version: 1.0.0
Check: examples
Result: ERROR
    Running examples in ‘pomdp-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: solve_POMDP
    > ### Title: Solve a POMDP Problem using pomdp-solver
    > ### Aliases: solve_POMDP solve_POMDP_parameter
    >
    > ### ** Examples
    >
    > ################################################################
    > # Example 1: Solving the simple infinite-horizon Tiger problem
    > data("Tiger")
    > Tiger
    POMDP, list - Tiger Problem
     Discount factor: 0.75
     Horizon: Inf epochs
     List components: ‘name’, ‘discount’, ‘horizon’, ‘states’, ‘actions’,
     ‘observations’, ‘transition_prob’, ‘observation_prob’, ‘reward’,
     ‘start’, ‘terminal_values’
    >
    > # look at the model as a list
    > unclass(Tiger)
    $name
    [1] "Tiger Problem"
    
    $discount
    [1] 0.75
    
    $horizon
    [1] Inf
    
    $states
    [1] "tiger-left" "tiger-right"
    
    $actions
    [1] "listen" "open-left" "open-right"
    
    $observations
    [1] "tiger-left" "tiger-right"
    
    $transition_prob
    $transition_prob$listen
    [1] "identity"
    
    $transition_prob$`open-left`
    [1] "uniform"
    
    $transition_prob$`open-right`
    [1] "uniform"
    
    
    $observation_prob
    $observation_prob$listen
     tiger-left tiger-right
    tiger-left 0.85 0.15
    tiger-right 0.15 0.85
    
    $observation_prob$`open-left`
    [1] "uniform"
    
    $observation_prob$`open-right`
    [1] "uniform"
    
    
    $reward
     action start.state end.state observation value
    1 listen * * * -1
    2 open-left tiger-left * * -100
    3 open-left tiger-right * * 10
    4 open-right tiger-left * * 10
    5 open-right tiger-right * * -100
    
    $start
    [1] "uniform"
    
    $terminal_values
    NULL
    
    >
    > # inspect an individual field of the model (e.g., the reward)
    > Tiger$reward
     action start.state end.state observation value
    1 listen * * * -1
    2 open-left tiger-left * * -100
    3 open-left tiger-right * * 10
    4 open-right tiger-left * * 10
    5 open-right tiger-right * * -100
    >
    > sol <- solve_POMDP(model = Tiger)
    > sol
    POMDP, list - Tiger Problem
     Discount factor: 0.75
     Horizon: Inf epochs
     Solved. Solution converged: TRUE
     Total expected reward (for start probabilities): 1.933439
     List components: ‘name’, ‘discount’, ‘horizon’, ‘states’, ‘actions’,
     ‘observations’, ‘transition_prob’, ‘observation_prob’, ‘reward’,
     ‘start’, ‘solution’, ‘solver_output’
    >
    > # look at solver output
    > sol$solver_output
     //****************\\
    || pomdp-solve ||
    || v. 5.3 ||
     \\****************//
     PID=0
    - - - - - - - - - - - - - - - - - - - -
    time_limit = 0
    force_rounding = false
    mcgs_prune_freq = 100
    verbose = context
    stdout =
    inc_prune = normal
    history_length = 0
    prune_epsilon = 0.000000
    save_all = false
    o = /Volumes/Temp/tmp/RtmpGfL6oZ/pomdp_ddff3fc8f463-0
    fg_save = true
    enum_purge = normal_prune
    fg_type = initial
    fg_epsilon = 0.000000
    mcgs_traj_iter_count = 1
    lp_epsilon = 0.000000
    end_epsilon = 0.000000
    start_epsilon = 0.000000
    dom_check = false
    stop_delta = 0.000000
    q_purge = normal_prune
    pomdp = /Volumes/Temp/tmp/RtmpGfL6oZ/pomdp_ddff3fc8f463.POMDP
    mcgs_num_traj = 1000
    stop_criteria = weak
    method = grid
    memory_limit = 0
    alg_rand = 0
    terminal_values =
    save_penultimate = false
    epsilon = 0.000000
    rand_seed =
    discount = 0.750000
    fg_points = 10000
    fg_purge = normal_prune
    fg_nonneg_rewards = false
    proj_purge = normal_prune
    mcgs_traj_length = 100
    history_delta = 0
    f =
    epsilon_adjust = 0.000000
    grid_filename =
    prune_rand = 0
    vi_variation = normal
    horizon = 0
    stat_summary = false
    max_soln_size = 0.000000
    witness_points = false
    - - - - - - - - - - - - - - - - - - - -
    [Initializing POMDP ... done.]
    [Finite Grid Method:]
     [Creating grid ... done.]
     [Grid has 25 points.]
     Grid saved to /Volumes/Temp/tmp/RtmpGfL6oZ/pomdp_ddff3fc8f463-0.belief.
    The initial policy being used:
    Alpha List: Length=1
    <id=0: a=0> [-400.000000 -400.000000]
    ++++++++++++++++++++++++++++++++++++++++
    Epoch: 1...3 vectors (delta=1.10e+02)
    Epoch: 2...5 vectors (delta=7.85e+01)
    Epoch: 3...5 vectors (delta=5.89e+01)
    Epoch: 4...5 vectors (delta=4.42e+01)
    Epoch: 5...5 vectors (delta=3.27e+01)
    Epoch: 6...5 vectors (delta=2.45e+01)
    Epoch: 7...5 vectors (delta=1.84e+01)
    Epoch: 8...5 vectors (delta=1.37e+01)
    Epoch: 9...5 vectors (delta=1.02e+01)
    Epoch: 10...5 vectors (delta=7.68e+00)
    Epoch: 11...5 vectors (delta=5.72e+00)
    Epoch: 12...5 vectors (delta=4.29e+00)
    Epoch: 13...5 vectors (delta=3.22e+00)
    Epoch: 14...5 vectors (delta=2.41e+00)
    Epoch: 15...5 vectors (delta=1.81e+00)
    Epoch: 16...5 vectors (delta=1.36e+00)
    Epoch: 17...5 vectors (delta=1.02e+00)
    Epoch: 18...5 vectors (delta=7.63e-01)
    Epoch: 19...5 vectors (delta=5.71e-01)
    Epoch: 20...5 vectors (delta=4.29e-01)
    Epoch: 21...5 vectors (delta=3.21e-01)
    Epoch: 22...5 vectors (delta=2.41e-01)
    Epoch: 23...5 vectors (delta=1.81e-01)
    Epoch: 24...5 vectors (delta=1.35e-01)
    Epoch: 25...5 vectors (delta=1.02e-01)
    Epoch: 26...5 vectors (delta=7.62e-02)
    Epoch: 27...5 vectors (delta=5.71e-02)
    Epoch: 28...5 vectors (delta=4.28e-02)
    Epoch: 29...5 vectors (delta=3.21e-02)
    Epoch: 30...5 vectors (delta=2.41e-02)
    Epoch: 31...5 vectors (delta=1.81e-02)
    Epoch: 32...5 vectors (delta=1.35e-02)
    Epoch: 33...5 vectors (delta=1.02e-02)
    Epoch: 34...5 vectors (delta=7.62e-03)
    Epoch: 35...5 vectors (delta=5.71e-03)
    Epoch: 36...5 vectors (delta=4.28e-03)
    Epoch: 37...5 vectors (delta=3.21e-03)
    Epoch: 38...5 vectors (delta=2.41e-03)
    Epoch: 39...5 vectors (delta=1.81e-03)
    Epoch: 40...5 vectors (delta=1.36e-03)
    Epoch: 41...5 vectors (delta=1.02e-03)
    Epoch: 42...5 vectors (delta=7.62e-04)
    Epoch: 43...5 vectors (delta=5.72e-04)
    Epoch: 44...5 vectors (delta=4.29e-04)
    Epoch: 45...5 vectors (delta=3.22e-04)
    Epoch: 46...5 vectors (delta=2.41e-04)
    Epoch: 47...5 vectors (delta=1.81e-04)
    Epoch: 48...5 vectors (delta=1.36e-04)
    Epoch: 49...5 vectors (delta=1.02e-04)
    Epoch: 50...5 vectors (delta=7.63e-05)
    Epoch: 51...5 vectors (delta=5.72e-05)
    Epoch: 52...5 vectors (delta=4.29e-05)
    Epoch: 53...5 vectors (delta=3.22e-05)
    Epoch: 54...5 vectors (delta=2.42e-05)
    Epoch: 55...5 vectors (delta=1.81e-05)
    Epoch: 56...5 vectors (delta=1.36e-05)
    Epoch: 57...5 vectors (delta=1.02e-05)
    Epoch: 58...5 vectors (delta=7.64e-06)
    Epoch: 59...5 vectors (delta=5.73e-06)
    Epoch: 60...5 vectors (delta=4.30e-06)
    Epoch: 61...5 vectors (delta=3.22e-06)
    Epoch: 62...5 vectors (delta=2.42e-06)
    Epoch: 63...5 vectors (delta=1.81e-06)
    Epoch: 64...5 vectors (delta=1.36e-06)
    Epoch: 65...5 vectors (delta=1.02e-06)
    Epoch: 66...5 vectors (delta=7.65e-07)
    Epoch: 67...5 vectors (delta=5.74e-07)
    Epoch: 68...5 vectors (delta=4.30e-07)
    Epoch: 69...5 vectors (delta=3.23e-07)
    Epoch: 70...5 vectors (delta=2.42e-07)
    Epoch: 71...5 vectors (delta=1.82e-07)
    Epoch: 72...5 vectors (delta=1.36e-07)
    Epoch: 73...5 vectors (delta=1.02e-07)
    Epoch: 74...5 vectors (delta=7.66e-08)
    Epoch: 75...5 vectors (delta=5.74e-08)
    Epoch: 76...5 vectors (delta=4.31e-08)
    Epoch: 77...5 vectors (delta=3.23e-08)
    Epoch: 78...5 vectors (delta=2.42e-08)
    Epoch: 79...5 vectors (delta=1.82e-08)
    Epoch: 80...5 vectors (delta=1.36e-08)
    Epoch: 81...5 vectors (delta=1.02e-08)
    Epoch: 82...5 vectors (delta=7.67e-09)
    Epoch: 83...5 vectors (delta=5.75e-09)
    Epoch: 84...5 vectors (delta=4.31e-09)
    Epoch: 85...5 vectors (delta=3.23e-09)
    Epoch: 86...5 vectors (delta=2.43e-09)
    Epoch: 87...5 vectors (delta=1.82e-09)
    Epoch: 88...5 vectors (delta=1.36e-09)
    Epoch: 89...5 vectors (delta=1.02e-09)
    Epoch: 90...5 vectors (delta=0.00e+00)
    ++++++++++++++++++++++++++++++++++++++++
    Solution found. See file:
     /Volumes/Temp/tmp/RtmpGfL6oZ/pomdp_ddff3fc8f463-0.alpha
     /Volumes/Temp/tmp/RtmpGfL6oZ/pomdp_ddff3fc8f463-0.pg
    ++++++++++++++++++++++++++++++++++++++++>
    > # look at the solution
    > sol$solution
    $method
    [1] "grid"
    
    $parameter
    NULL
    
    $converged
    [1] TRUE
    
    $total_expected_reward
    [1] 1.933439
    
    $initial_belief
     tiger-left tiger-right
     0.5 0.5
    
    $initial_pg_node
    [1] 3
    
    $belief_states
     tiger-left tiger-right
     [1,] 5.000000e-01 5.000000e-01
     [2,] 8.500000e-01 1.500000e-01
     [3,] 1.500000e-01 8.500000e-01
     [4,] 9.697987e-01 3.020134e-02
     [5,] 3.020134e-02 9.697987e-01
     [6,] 9.945344e-01 5.465587e-03
     [7,] 5.465587e-03 9.945344e-01
     [8,] 9.990311e-01 9.688763e-04
     [9,] 9.688763e-04 9.990311e-01
    [10,] 9.998289e-01 1.711147e-04
    [11,] 1.711147e-04 9.998289e-01
    [12,] 9.999698e-01 3.020097e-05
    [13,] 3.020097e-05 9.999698e-01
    [14,] 9.999947e-01 5.329715e-06
    [15,] 5.329715e-06 9.999947e-01
    [16,] 9.999991e-01 9.405421e-07
    [17,] 9.405421e-07 9.999991e-01
    [18,] 9.999998e-01 1.659782e-07
    [19,] 1.659782e-07 9.999998e-01
    [20,] 1.000000e+00 2.929027e-08
    [21,] 2.929027e-08 1.000000e+00
    [22,] 1.000000e+00 5.168871e-09
    [23,] 5.168871e-09 1.000000e+00
    [24,] 1.000000e+00 9.121536e-10
    [25,] 9.121536e-10 1.000000e+00
    
    $pg
    $pg[[1]]
     node action tiger-left tiger-right
    1 1 open-left 3 3
    2 2 listen 3 1
    3 3 listen 4 2
    4 4 listen 5 3
    5 5 open-right 3 3
    
    
    $alpha
    $alpha[[1]]
     tiger-left tiger-right
    [1,] -98.549921 11.450079
    [2,] -10.854299 6.516937
    [3,] 1.933439 1.933439
    [4,] 6.516937 -10.854299
    [5,] 11.450079 -98.549921
    
    
    $policy
    $policy[[1]]
     tiger-left tiger-right action
    1 -98.549921 11.450079 open-left
    2 -10.854299 6.516937 listen
    3 1.933439 1.933439 listen
    4 6.516937 -10.854299 listen
    5 11.450079 -98.549921 open-right
    
    
    attr(,"class")
    [1] "POMDP_solution"
    >
    > # policy (value function (alpha vectors), optimal action and observation dependent transitions)
    > policy(sol)
    [[1]]
     tiger-left tiger-right action
    1 -98.549921 11.450079 open-left
    2 -10.854299 6.516937 listen
    3 1.933439 1.933439 listen
    4 6.516937 -10.854299 listen
    5 11.450079 -98.549921 open-right
    
    >
    > # plot the policy graph of the infinite-horizon POMDP
    > plot_policy_graph(sol)
    >
    > # value function
    > plot_value_function(sol, ylim = c(0,20))
    >
    > # display available solver options which can be passed on to the solver as parameters.
    > solve_POMDP_parameter()
    Usage: /Volumes/Builds/packages/big-sur-arm64/Rlib/4.1/pomdpSolve/bin//pomdp-solve [opts...] [args...]
    General options:
     -force_rounding [ false, true ]
     -stdout <string>
     -save_penultimate [ false, true ]
     -rand_seed <string>
     -f <string>
     -stat_summary [ false, true ]
    Resource Limits options:
     -time_limit <int>
     -memory_limit <int>
    Algorithm options:
     -mcgs_prune_freq <int>
     -inc_prune [ normal, restricted_region, generalized ]
     -fg_save [ false, true ]
     -enum_purge [ none, domonly, normal_prune, epsilon_prune ]
     -fg_type [ simplex, pairwise, search, initial, file ]
     -mcgs_traj_iter_count <int>
     -mcgs_num_traj <int>
     -method [ enum, twopass, linsup, witness, incprune, grid, mcgs ]
     -fg_points <int>
     -fg_purge [ none, domonly, normal_prune, epsilon_prune ]
     -fg_nonneg_rewards [ false, true ]
     -mcgs_traj_length <int>
     -grid_filename <string>
    Optimization options:
     -prune_epsilon <double>
     -fg_epsilon <double>
     -lp_epsilon <double>
     -dom_check [ false, true ]
     -q_purge [ none, domonly, normal_prune, epsilon_prune ]
     -alg_rand <int>
     -epsilon <double>
     -proj_purge [ none, domonly, normal_prune, epsilon_prune ]
     -prune_rand <int>
     -witness_points [ false, true ]
    Debug options:
     -verbose [ context, lp, global, timing, stats, cmdline, main,
     alpha, proj, crosssum, agenda, enum, twopass, linsup,
     witness, incprune, lpinterface, vertexenum, mdp, pomdp,
     param, parsimonious, region, approx_mcgs, zlz_speedup,
     finite_grid, mcgs ]
    Value Iteration options:
     -history_length <int>
     -save_all [ false, true ]
     -o <string>
     -end_epsilon <double>
     -start_epsilon <double>
     -stop_delta <double>
     -pomdp <string>
     -stop_criteria [ exact, weak, bellman ]
     -terminal_values <string>
     -discount <double>
     -history_delta <int>
     -epsilon_adjust <double>
     -vi_variation [ normal, zlz, adjustable_epsilon, fixed_soln_size ]
     -horizon <int>
     -max_soln_size <double>
    
    Use the parameter options in solve_POMDP without the leading '-' in the form:
     parameter = list(fg_points = 100)
    Note: Not all parameter options are available (e.g., resource limitations, -pomdp, -horizon).
    >
    > ################################################################
    > # Example 2: Solve a problem specified as a POMDP file
    > # using a grid of size 10
    > sol <- solve_POMDP("http://www.pomdp.org/examples/cheese.95.POMDP",
    + method = "grid", parameter = list(fg_points = 10))
    Error in eval(substitute(expr), e) :
     The start probability vector does not add up to 1.
    Calls: solve_POMDP ... check_and_fix_MDP -> within -> within.list -> eval -> eval
    Execution halted
Flavor: r-release-macos-arm64

Version: 1.0.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [1s/3s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     ── Error (test-solve_POMDP.R:44:1): (code run outside of `test_that()`) ────────
     Error in `eval(substitute(expr), e)`: The start probability vector does not add up to 1.
     Backtrace:
     ▆
     1. └─pomdp::solve_POMDP("http://www.pomdp.org/examples/cheese.95.POMDP") at test-solve_POMDP.R:44:0
     2. └─pomdp::read_POMDP(model)
     3. └─pomdp:::check_and_fix_MDP(x)
     4. ├─base::within(...)
     5. └─base::within.list(...)
     6. └─base::eval(substitute(expr), e)
     7. └─base::eval(substitute(expr), e)
    
     [ FAIL 1 | WARN 0 | SKIP 0 | PASS 22 ]
     Error: Test failures
     Execution halted
Flavor: r-release-macos-arm64