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RuntimeError: It is unadvisable to use a red-blue move with fewer walkers than twice the number of dimensions #229

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eduherminio opened this issue Dec 2, 2023 · 0 comments
Open

RuntimeError: It is unadvisable to use a red-blue move with fewer walkers than twice the number of dimensions #229

eduherminio opened this issue Dec 2, 2023 · 0 comments

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@eduherminio
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  • Chess Tuning Tools version: 0.9.5
  • Python version: 3.9.18
  • Operating System: Windows

Description

Runtime error when trying to tune some parameters of my engine for the first time, during iteration number 15:

RuntimeError: It is unadvisable to use a red-blue move with fewer walkers than twice the number of dimensions.

Tuning config file

What I Did

I followed Windows installation instructions

conda create -n myenv python=3.9 scikit-learn=0.23
conda activate myenv
pip install chess-tuning-tools

Added cutechess dir to the path, placed both version of my engine and the opening book in the tuning/ directory and ran tune local -c .\tuning.json

Complete execution logs 
> tune local -c .\tuning.json
2023-12-02 23:57:02,188 INFO     chess-tuning-tools version: 0.9.5
2023-12-02 23:57:02,251 INFO     Starting iteration 0
2023-12-02 23:57:02,251 INFO     Testing {'LMR_MinDepth': 3, 'LMR_MinFullDepthSearchedMoves': 2, 'LMR_Base': 137, 'LMR_Divisor': 362, 'NMP_MinDepth': 1, 'NMP_BaseDepthReduction': 2, 'AspirationWindow_Delta': 126, 'AspirationWindow_MinDepth': 2, 'RFP_MaxDepth': 10, 'RFP_DepthScalingFactor': 175, 'Razoring_MaxDepth': 6, 'Razoring_Depth1Bonus': 214, 'Razoring_NotDepth1Bonus': 295, 'IIR_MinDepth': 1, 'LMP_MaxDepth': 9, 'LMP_BaseMovesToTry': 11, 'LMP_MovesDepthMultiplier': 42}
2023-12-02 23:57:02,251 INFO     Start experiment
2023-12-02 23:57:41,407 INFO     Experiment finished (39.155974s elapsed).
2023-12-02 23:57:41,719 INFO     Got Elo: -94.94436631784163 +- 67.39162235521934
2023-12-02 23:57:41,719 INFO     Estimated draw rate: 25.00%
2023-12-02 23:57:41,719 INFO     Updating model
2023-12-02 23:57:41,719 INFO     GP sampling finished (0.0s)
2023-12-02 23:57:41,750 INFO     Starting iteration 1
2023-12-02 23:57:41,860 INFO     Testing {'LMR_MinDepth': 1, 'LMR_MinFullDepthSearchedMoves': 6, 'LMR_Base': 83, 'LMR_Divisor': 256, 'NMP_MinDepth': 3, 'NMP_BaseDepthReduction': 1, 'AspirationWindow_Delta': 300, 'AspirationWindow_MinDepth': 5, 'RFP_MaxDepth': 12, 'RFP_DepthScalingFactor': 55, 'Razoring_MaxDepth': 1, 'Razoring_Depth1Bonus': 143, 'Razoring_NotDepth1Bonus': 175, 'IIR_MinDepth': 5, 'LMP_MaxDepth': 4, 'LMP_BaseMovesToTry': 7, 'LMP_MovesDepthMultiplier': 16}
2023-12-02 23:57:41,860 INFO     Start experiment
2023-12-02 23:57:46,298 INFO     Experiment finished (4.4373s elapsed).
2023-12-02 23:57:46,688 INFO     Got Elo: -279.5880017344074 +- 144.40798903301297
2023-12-02 23:57:46,688 INFO     Estimated draw rate: 12.50%
2023-12-02 23:57:46,688 INFO     Updating model
2023-12-02 23:57:46,688 INFO     GP sampling finished (0.0s)
2023-12-02 23:57:46,719 INFO     Starting iteration 2
2023-12-02 23:57:46,860 INFO     Testing {'LMR_MinDepth': 6, 'LMR_MinFullDepthSearchedMoves': 1, 'LMR_Base': 200, 'LMR_Divisor': 400, 'NMP_MinDepth': 4, 'NMP_BaseDepthReduction': 3, 'AspirationWindow_Delta': 55, 'AspirationWindow_MinDepth': 8, 'RFP_MaxDepth': 6, 'RFP_DepthScalingFactor': 112, 'Razoring_MaxDepth': 3, 'Razoring_Depth1Bonus': 56, 'Razoring_NotDepth1Bonus': 116, 'IIR_MinDepth': 3, 'LMP_MaxDepth': 6, 'LMP_BaseMovesToTry': 3, 'LMP_MovesDepthMultiplier': 28}
2023-12-02 23:57:46,860 INFO     Start experiment
2023-12-02 23:58:33,501 INFO     Experiment finished (46.640496s elapsed).
2023-12-02 23:58:33,813 INFO     Got Elo: -120.41199826559246 +- 68.81877475364784
2023-12-02 23:58:33,813 INFO     Estimated draw rate: 31.25%
2023-12-02 23:58:33,813 INFO     Updating model
2023-12-02 23:58:33,813 INFO     GP sampling finished (0.0s)
2023-12-02 23:58:33,845 INFO     Starting iteration 3
2023-12-02 23:58:33,954 INFO     Testing {'LMR_MinDepth': 4, 'LMR_MinFullDepthSearchedMoves': 7, 'LMR_Base': 172, 'LMR_Divisor': 303, 'NMP_MinDepth': 5, 'NMP_BaseDepthReduction': 1, 'AspirationWindow_Delta': 208, 'AspirationWindow_MinDepth': 6, 'RFP_MaxDepth': 5, 'RFP_DepthScalingFactor': 79, 'Razoring_MaxDepth': 2, 'Razoring_Depth1Bonus': 262, 'Razoring_NotDepth1Bonus': 64, 'IIR_MinDepth': 7, 'LMP_MaxDepth': 8, 'LMP_BaseMovesToTry': 9, 'LMP_MovesDepthMultiplier': 3}
2023-12-02 23:58:33,954 INFO     Start experiment
2023-12-02 23:59:15,548 INFO     Experiment finished (41.593602s elapsed).
2023-12-02 23:59:15,829 INFO     Got Elo: -46.60222762857493 +- 70.64864326145913
2023-12-02 23:59:15,829 INFO     Estimated draw rate: 37.50%
2023-12-02 23:59:15,829 INFO     Updating model
2023-12-02 23:59:15,829 INFO     GP sampling finished (0.0s)
2023-12-02 23:59:15,860 INFO     Starting iteration 4
2023-12-02 23:59:15,954 INFO     Testing {'LMR_MinDepth': 5, 'LMR_MinFullDepthSearchedMoves': 5, 'LMR_Base': 101, 'LMR_Divisor': 318, 'NMP_MinDepth': 2, 'NMP_BaseDepthReduction': 2, 'AspirationWindow_Delta': 21, 'AspirationWindow_MinDepth': 7, 'RFP_MaxDepth': 7, 'RFP_DepthScalingFactor': 147, 'Razoring_MaxDepth': 8, 'Razoring_Depth1Bonus': 50, 'Razoring_NotDepth1Bonus': 225, 'IIR_MinDepth': 4, 'LMP_MaxDepth': 2, 'LMP_BaseMovesToTry': 2, 'LMP_MovesDepthMultiplier': 0}
2023-12-02 23:59:15,954 INFO     Start experiment
2023-12-02 23:59:53,219 INFO     Experiment finished (37.265642s elapsed).
2023-12-02 23:59:53,532 INFO     Got Elo: -94.94436631784154 +- 107.28552843841574
2023-12-02 23:59:53,532 INFO     Estimated draw rate: 12.50%
2023-12-02 23:59:53,547 INFO     Updating model
2023-12-02 23:59:53,547 INFO     GP sampling finished (0.0s)
2023-12-02 23:59:53,563 INFO     Starting iteration 5
2023-12-02 23:59:53,641 INFO     Testing {'LMR_MinDepth': 6, 'LMR_MinFullDepthSearchedMoves': 1, 'LMR_Base': 87, 'LMR_Divisor': 315, 'NMP_MinDepth': 6, 'NMP_BaseDepthReduction': 0, 'AspirationWindow_Delta': 77, 'AspirationWindow_MinDepth': 3, 'RFP_MaxDepth': 8, 'RFP_DepthScalingFactor': 21, 'Razoring_MaxDepth': 2, 'Razoring_Depth1Bonus': 234, 'Razoring_NotDepth1Bonus': 200, 'IIR_MinDepth': 8, 'LMP_MaxDepth': 6, 'LMP_BaseMovesToTry': 10, 'LMP_MovesDepthMultiplier': 20}
2023-12-02 23:59:53,641 INFO     Start experiment
2023-12-03 00:00:35,172 INFO     Experiment finished (41.531087s elapsed).
2023-12-03 00:00:35,489 INFO     Got Elo: -46.602227628574866 +- 78.01841388963136
2023-12-03 00:00:35,489 INFO     Estimated draw rate: 37.50%
2023-12-03 00:00:35,489 INFO     Updating model
2023-12-03 00:00:35,489 INFO     GP sampling finished (0.0s)
2023-12-03 00:00:35,516 INFO     Starting iteration 6
2023-12-03 00:00:35,578 INFO     Testing {'LMR_MinDepth': 2, 'LMR_MinFullDepthSearchedMoves': 8, 'LMR_Base': 119, 'LMR_Divisor': 219, 'NMP_MinDepth': 2, 'NMP_BaseDepthReduction': 0, 'AspirationWindow_Delta': 192, 'AspirationWindow_MinDepth': 9, 'RFP_MaxDepth': 7, 'RFP_DepthScalingFactor': 188, 'Razoring_MaxDepth': 5, 'Razoring_Depth1Bonus': 169, 'Razoring_NotDepth1Bonus': 132, 'IIR_MinDepth': 6, 'LMP_MaxDepth': 5, 'LMP_BaseMovesToTry': 8, 'LMP_MovesDepthMultiplier': 36}
2023-12-03 00:00:35,578 INFO     Start experiment
2023-12-03 00:01:19,750 INFO     Experiment finished (44.171861s elapsed).
2023-12-03 00:01:20,110 INFO     Got Elo: 23.196778791074635 +- 48.27242557930261
2023-12-03 00:01:20,110 INFO     Estimated draw rate: 31.25%
2023-12-03 00:01:20,110 INFO     Updating model
2023-12-03 00:01:20,110 INFO     GP sampling finished (0.0s)
2023-12-03 00:01:20,141 INFO     Starting iteration 7
2023-12-03 00:01:20,204 INFO     Testing {'LMR_MinDepth': 2, 'LMR_MinFullDepthSearchedMoves': 9, 'LMR_Base': 54, 'LMR_Divisor': 335, 'NMP_MinDepth': 4, 'NMP_BaseDepthReduction': 1, 'AspirationWindow_Delta': 154, 'AspirationWindow_MinDepth': 6, 'RFP_MaxDepth': 5, 'RFP_DepthScalingFactor': 195, 'Razoring_MaxDepth': 10, 'Razoring_Depth1Bonus': 226, 'Razoring_NotDepth1Bonus': 229, 'IIR_MinDepth': 2, 'LMP_MaxDepth': 1, 'LMP_BaseMovesToTry': 10, 'LMP_MovesDepthMultiplier': 31}
2023-12-03 00:01:20,204 INFO     Start experiment
2023-12-03 00:02:08,625 INFO     Experiment finished (48.421375s elapsed).
2023-12-03 00:02:08,907 INFO     Got Elo: -70.43650362227257 +- 73.36591363037579
2023-12-03 00:02:08,907 INFO     Estimated draw rate: 43.75%
2023-12-03 00:02:08,907 INFO     Updating model
2023-12-03 00:02:08,907 INFO     GP sampling finished (0.0s)
2023-12-03 00:02:08,939 INFO     Starting iteration 8
2023-12-03 00:02:09,000 INFO     Testing {'LMR_MinDepth': 4, 'LMR_MinFullDepthSearchedMoves': 5, 'LMR_Base': 82, 'LMR_Divisor': 216, 'NMP_MinDepth': 5, 'NMP_BaseDepthReduction': 1, 'AspirationWindow_Delta': 32, 'AspirationWindow_MinDepth': 8, 'RFP_MaxDepth': 8, 'RFP_DepthScalingFactor': 29, 'Razoring_MaxDepth': 7, 'Razoring_Depth1Bonus': 130, 'Razoring_NotDepth1Bonus': 62, 'IIR_MinDepth': 1, 'LMP_MaxDepth': 8, 'LMP_BaseMovesToTry': 7, 'LMP_MovesDepthMultiplier': 44}
2023-12-03 00:02:09,002 INFO     Start experiment
2023-12-03 00:02:55,735 INFO     Experiment finished (46.732323s elapsed).
2023-12-03 00:02:56,047 INFO     Got Elo: -120.41199826559254 +- 87.75271543771996
2023-12-03 00:02:56,047 INFO     Estimated draw rate: 31.25%
2023-12-03 00:02:56,047 INFO     Updating model
2023-12-03 00:02:56,047 INFO     GP sampling finished (0.0s)
2023-12-03 00:02:56,078 INFO     Starting iteration 9
2023-12-03 00:02:56,141 INFO     Testing {'LMR_MinDepth': 3, 'LMR_MinFullDepthSearchedMoves': 7, 'LMR_Base': 15, 'LMR_Divisor': 353, 'NMP_MinDepth': 2, 'NMP_BaseDepthReduction': 2, 'AspirationWindow_Delta': 258, 'AspirationWindow_MinDepth': 3, 'RFP_MaxDepth': 10, 'RFP_DepthScalingFactor': 115, 'Razoring_MaxDepth': 3, 'Razoring_Depth1Bonus': 107, 'Razoring_NotDepth1Bonus': 198, 'IIR_MinDepth': 3, 'LMP_MaxDepth': 2, 'LMP_BaseMovesToTry': 7, 'LMP_MovesDepthMultiplier': 25}
2023-12-03 00:02:56,141 INFO     Start experiment
2023-12-03 00:03:50,203 INFO     Experiment finished (54.062622s elapsed).
2023-12-03 00:03:50,516 INFO     Got Elo: -120.41199826559254 +- 80.05645712263248
2023-12-03 00:03:50,516 INFO     Estimated draw rate: 31.25%
2023-12-03 00:03:50,516 INFO     Updating model
2023-12-03 00:03:50,516 INFO     GP sampling finished (0.0s)
2023-12-03 00:03:50,547 INFO     Starting iteration 10
2023-12-03 00:03:50,594 INFO     Testing {'LMR_MinDepth': 1, 'LMR_MinFullDepthSearchedMoves': 2, 'LMR_Base': 69, 'LMR_Divisor': 360, 'NMP_MinDepth': 4, 'NMP_BaseDepthReduction': 1, 'AspirationWindow_Delta': 18, 'AspirationWindow_MinDepth': 9, 'RFP_MaxDepth': 3, 'RFP_DepthScalingFactor': 127, 'Razoring_MaxDepth': 8, 'Razoring_Depth1Bonus': 158, 'Razoring_NotDepth1Bonus': 141, 'IIR_MinDepth': 7, 'LMP_MaxDepth': 9, 'LMP_BaseMovesToTry': 11, 'LMP_MovesDepthMultiplier': 4}
2023-12-03 00:03:50,594 INFO     Start experiment
2023-12-03 00:03:55,000 INFO     Experiment finished (4.40618s elapsed).
2023-12-03 00:03:55,391 INFO     Got Elo: -279.5880017344074 +- 144.2555280329586
2023-12-03 00:03:55,391 INFO     Estimated draw rate: 12.50%
2023-12-03 00:03:55,391 INFO     Updating model
2023-12-03 00:03:55,391 INFO     GP sampling finished (0.0s)
2023-12-03 00:03:55,422 INFO     Starting iteration 11
2023-12-03 00:03:55,469 INFO     Testing {'LMR_MinDepth': 2, 'LMR_MinFullDepthSearchedMoves': 5, 'LMR_Base': 93, 'LMR_Divisor': 214, 'NMP_MinDepth': 3, 'NMP_BaseDepthReduction': 3, 'AspirationWindow_Delta': 145, 'AspirationWindow_MinDepth': 4, 'RFP_MaxDepth': 3, 'RFP_DepthScalingFactor': 125, 'Razoring_MaxDepth': 3, 'Razoring_Depth1Bonus': 300, 'Razoring_NotDepth1Bonus': 288, 'IIR_MinDepth': 3, 'LMP_MaxDepth': 4, 'LMP_BaseMovesToTry': 11, 'LMP_MovesDepthMultiplier': 48}
2023-12-03 00:03:55,469 INFO     Start experiment
2023-12-03 00:04:40,781 INFO     Experiment finished (45.312466s elapsed).
2023-12-03 00:04:41,078 INFO     Got Elo: 23.196778791074635 +- 74.8306414469749
2023-12-03 00:04:41,078 INFO     Estimated draw rate: 31.25%
2023-12-03 00:04:41,078 INFO     Updating model
2023-12-03 00:04:41,078 INFO     GP sampling finished (0.0s)
2023-12-03 00:04:41,110 INFO     Starting iteration 12
2023-12-03 00:04:41,156 INFO     Testing {'LMR_MinDepth': 6, 'LMR_MinFullDepthSearchedMoves': 2, 'LMR_Base': 154, 'LMR_Divisor': 228, 'NMP_MinDepth': 4, 'NMP_BaseDepthReduction': 2, 'AspirationWindow_Delta': 222, 'AspirationWindow_MinDepth': 4, 'RFP_MaxDepth': 2, 'RFP_DepthScalingFactor': 62, 'Razoring_MaxDepth': 6, 'Razoring_Depth1Bonus': 83, 'Razoring_NotDepth1Bonus': 51, 'IIR_MinDepth': 5, 'LMP_MaxDepth': 9, 'LMP_BaseMovesToTry': 5, 'LMP_MovesDepthMultiplier': 36}
2023-12-03 00:04:41,156 INFO     Start experiment
2023-12-03 00:05:25,141 INFO     Experiment finished (43.984461s elapsed).
2023-12-03 00:05:25,468 INFO     Got Elo: -23.196778791074692 +- 57.90174286836706
2023-12-03 00:05:25,468 INFO     Estimated draw rate: 43.75%
2023-12-03 00:05:25,468 INFO     Updating model
2023-12-03 00:05:25,468 INFO     GP sampling finished (0.0s)
2023-12-03 00:05:25,500 INFO     Starting iteration 13
2023-12-03 00:05:25,547 INFO     Testing {'LMR_MinDepth': 4, 'LMR_MinFullDepthSearchedMoves': 9, 'LMR_Base': 125, 'LMR_Divisor': 248, 'NMP_MinDepth': 3, 'NMP_BaseDepthReduction': 1, 'AspirationWindow_Delta': 62, 'AspirationWindow_MinDepth': 4, 'RFP_MaxDepth': 7, 'RFP_DepthScalingFactor': 15, 'Razoring_MaxDepth': 6, 'Razoring_Depth1Bonus': 64, 'Razoring_NotDepth1Bonus': 108, 'IIR_MinDepth': 5, 'LMP_MaxDepth': 1, 'LMP_BaseMovesToTry': 10, 'LMP_MovesDepthMultiplier': 10}
2023-12-03 00:05:25,547 INFO     Start experiment
2023-12-03 00:05:58,062 INFO     Experiment finished (32.515203s elapsed).
2023-12-03 00:05:58,375 INFO     Got Elo: -175.7330775321051 +- 95.5996270979563
2023-12-03 00:05:58,375 INFO     Estimated draw rate: 31.25%
2023-12-03 00:05:58,375 INFO     Updating model
2023-12-03 00:05:58,375 INFO     GP sampling finished (0.0s)
2023-12-03 00:05:58,406 INFO     Starting iteration 14
2023-12-03 00:05:58,453 INFO     Testing {'LMR_MinDepth': 5, 'LMR_MinFullDepthSearchedMoves': 4, 'LMR_Base': 195, 'LMR_Divisor': 222, 'NMP_MinDepth': 3, 'NMP_BaseDepthReduction': 1, 'AspirationWindow_Delta': 142, 'AspirationWindow_MinDepth': 9, 'RFP_MaxDepth': 5, 'RFP_DepthScalingFactor': 85, 'Razoring_MaxDepth': 4, 'Razoring_Depth1Bonus': 201, 'Razoring_NotDepth1Bonus': 281, 'IIR_MinDepth': 9, 'LMP_MaxDepth': 5, 'LMP_BaseMovesToTry': 5, 'LMP_MovesDepthMultiplier': 34}
2023-12-03 00:05:58,453 INFO     Start experiment
2023-12-03 00:06:48,375 INFO     Experiment finished (49.92229s elapsed).
2023-12-03 00:06:48,656 INFO     Got Elo: -23.19677879107476 +- 74.82089695157089
2023-12-03 00:06:48,656 INFO     Estimated draw rate: 43.75%
2023-12-03 00:06:48,656 INFO     Updating model
2023-12-03 00:06:48,656 INFO     GP sampling finished (0.0s)
2023-12-03 00:06:48,687 INFO     Starting iteration 15
2023-12-03 00:06:48,734 INFO     Testing {'LMR_MinDepth': 7, 'LMR_MinFullDepthSearchedMoves': 3, 'LMR_Base': 143, 'LMR_Divisor': 389, 'NMP_MinDepth': 4, 'NMP_BaseDepthReduction': 3, 'AspirationWindow_Delta': 249, 'AspirationWindow_MinDepth': 2, 'RFP_MaxDepth': 7, 'RFP_DepthScalingFactor': 30, 'Razoring_MaxDepth': 9, 'Razoring_Depth1Bonus': 151, 'Razoring_NotDepth1Bonus': 68, 'IIR_MinDepth': 4, 'LMP_MaxDepth': 3, 'LMP_BaseMovesToTry': 12, 'LMP_MovesDepthMultiplier': 47}
2023-12-03 00:06:48,734 INFO     Start experiment
2023-12-03 00:07:40,890 INFO     Experiment finished (52.156466s elapsed).
2023-12-03 00:07:41,203 INFO     Got Elo: -94.94436631784163 +- 67.32042262283088
2023-12-03 00:07:41,203 INFO     Estimated draw rate: 50.00%
2023-12-03 00:07:41,203 INFO     Updating model
Traceback (most recent call last):
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\Scripts\tune.exe\__main__.py", line 7, in <module>
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\click\core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\click\core.py", line 1078, in main
    rv = self.invoke(ctx)
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\click\core.py", line 1688, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\click\core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\click\core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\tune\cli.py", line 515, in local
    update_model(
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\tune\local.py", line 1137, in update_model
    optimizer.tell(
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\bask\optimizer.py", line 331, in tell
    self.gp.fit(
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\bask\bayesgpr.py", line 592, in fit
    self.sample(
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\bask\bayesgpr.py", line 509, in sample
    pos, prob, state = self._sampler.run_mcmc(pos, n_samples, progress=progress)
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\emcee\ensemble.py", line 443, in run_mcmc
    for results in self.sample(initial_state, iterations=nsteps, **kwargs):
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\emcee\ensemble.py", line 402, in sample
    state, accepted = move.propose(model, state)
  File "C:\Users\eduherminio\AppData\Local\miniconda3\envs\myenv\lib\site-packages\emcee\moves\red_blue.py", line 66, in propose
    raise RuntimeError(
RuntimeError: It is unadvisable to use a red-blue move with fewer walkers than twice the number of dimensions.
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