Fatal Python error: Segmentation fault

[lyj-12]

Fatal Python error: Segmentation fault

Thread 0x000071fb66492640 (most recent call first):

Thread 0x000071fb66c93640 (most recent call first):

Current thread 0x00007200c424f440 (most recent call first): File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 745 in getmodule File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 829 in findsource File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 1505 in getframeinfo File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 1531 in getouterframes File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 1554 in stack File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 159 in convert_to_path File "", line 56 in init File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 227 in from_dict File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/farm.py", line 300 in File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/farm.py", line 299 in construct_turbine_map File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/core.py", line 75 in attrs_post_init File "", line 44 in init File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 227 in from_dict File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/floris_model.py", line 267 in _reinitialize File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/floris_model.py", line 435 in set File "/home/xxx/code/FloatingFarmYaw/floris_environment_fix.py", line 235 in step File "/home/xxx/code/FloatingFarmYaw/main.py", line 66 in train_online File "/home/xxx/code/FloatingFarmYaw/main.py", line 271 in main File "/home/xxx/code/FloatingFarmYaw/main.py", line 318 in /tmp/tmpoiuxwl14：行 3: 21518 段错误 （核心已转储） python /home/xxx/code/FloatingFarmYaw/main.py ERROR conda.cli.main_run:execute(127): `conda run python /home/Fatal Python error: Segmentation fault

Thread 0x000071fb66492640 (most recent call first):

Thread 0x000071fb66c93640 (most recent call first):

Current thread 0x00007200c424f440 (most recent call first): File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 745 in getmodule File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 829 in findsource File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 1505 in getframeinfo File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 1531 in getouterframes File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/inspect.py", line 1554 in stack File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 159 in convert_to_path File "", line 56 in init File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 227 in from_dict File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/farm.py", line 300 in File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/farm.py", line 299 in construct_turbine_map File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/core.py", line 75 in attrs_post_init File "", line 44 in init File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 227 in from_dict File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/floris_model.py", line 267 in _reinitialize File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/floris_model.py", line 435 in set File "/home/xxx/code/FloatingFarmYaw/floris_environment_fix.py", line 235 in step File "/home/xxx/code/FloatingFarmYaw/main.py", line 66 in train_online File "/home/xxx/code/FloatingFarmYaw/main.py", line 271 in main File "/home/xxx/code/FloatingFarmYaw/main.py", line 318 in /tmp/tmpoiuxwl14：行 3: 21518 段错误 （核心已转储） python /home/xxx/code/FloatingFarmYaw/main.py ERROR conda.cli.main_run:execute(127): `conda run python /home/Fatal Python error: Segmentation fault

Thread 0x000071fb66492640 (most recent call first):

Thread 0x000071fb66c93640 (most recent call first):

Current thread 0x00007200c424f440 (most recent call first): File "/home/xxx/xxx/envs/floating_wind_env/lib/python3.9/inspect.py", line 745 in getmodule File "/home/xxx/xxx/envs/floating_wind_env/lib/python3.9/inspect.py", line 829 in findsource File "/home/xxx/xxx/envs/floating_wind_env/lib/python3.9/inspect.py", line 1505 in getframeinfo File "/home/xxx/xxx/envs/floating_wind_env/lib/python3.9/inspect.py", line 1531 in getouterframes File "/home/xxx/xxx/envs/floating_wind_env/lib/python3.9/inspect.py", line 1554 in stack File "/home/xxx/xxx/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 159 in convert_to_path File "", line 56 in init File "/home/LiuYixxxngJie/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 227 in from_dict File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/farm.py", line 300 in File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/farm.py", line 299 in construct_turbine_map File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/core/core.py", line 75 in attrs_post_init File "", line 44 in init File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/type_dec.py", line 227 in from_dict File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/floris_model.py", line 267 in _reinitialize File "/home/xxx/miniconda3/envs/floating_wind_env/lib/python3.9/site-packages/floris/floris_model.py", line 435 in set File "/home/xxx/code/FloatingFarmYaw/floris_environment_fix.py", line 235 in step File "/home/xxx/code/FloatingFarmYaw/main.py", line 66 in train_online File "/home/xxx/code/FloatingFarmYaw/main.py", line 271 in main File "/home/xxx/code/FloatingFarmYaw/main.py", line 318 in /tmp/tmpoiuxwl14：行 3: 21518 段错误 （核心已转储） python /home/xxx/code/FloatingFarmYaw/main.py ERROR conda.cli.main_run:execute(127): conda run python /home/xxx/code/FloatingFarmYaw/main.py failed. (See above for error) /code/FloatingFarmYaw/main.py failed. (See above for error) /code/FloatingFarmYaw/main.py failed. (See above for error)

[Bartdoekemeijer]

Hi @lyj-12. Could you explain what you are trying to do? At first glance it seems that your issue may be with Conda/your Python environment rather than FLORIS.

[lyj-12]

Hi @Bartdoekemeijer , thanks for your reply.

I am trying to build a reinforcement learning environment based on FLORIS. In each environment step, the agent updates turbine yaw angles, and in some experiments I also modify the turbine layout (positions) dynamically. To apply these changes, I currently call floris_model.set(...), which triggers _reinitialize() and rebuilds the Farm/Core objects repeatedly during training.

After many iterations, this leads to a segmentation fault, with the crash consistently occurring during the reinitialization process (often while calling inspect.stack() inside type_dec.py).

So from my perspective, this is not a one-time configuration issue, but something that appears when FLORIS is reinitialized frequently inside a long-running loop, which is common in RL-style usage. I wanted to check whether this usage pattern is supported by FLORIS, or if there is a recommended way to update yaw angles and/or layouts without repeatedly calling set().

[misi9170]

Hi @lyj-12 ,

Thanks for the additional context here! By the sounds of it, something in your procedure is generating more and more memory to be allocated, which would be consistent with a Segmentation Fault. A similar issue was reported in #926, where I believe FLORIS was being used in a similar way (in particular, FlorisModel.set() and FlorisModel.run() are called many times in the same python procedure).

If there is a memory leak, this could lead to a segmentation fault. However, when I tried looking into this, I didn't see more and more memory being allocated (see my comment here). That is, a small amount of extra memory was occasionally declared, but memory didn't seem to be "exploding".

Would you be able to run a similar memory profiling procedure using the memory_profiler package on your code and see how the memory usage evolves?

[lyj-12]

Line #    Mem usage    Increment  Occurrences   Line Contents
=============================================================
   203   1186.4 MiB   1186.4 MiB           1       @profile
   204                                             def step(self, action):
   205   1186.4 MiB      0.0 MiB           1           Yaw_angles = np.reshape(action, [1, self.N]) + self.position[3] * 180 / np.pi
   206                                         
   207                                                 # set and run the floris model
   208   1186.4 MiB      0.0 MiB           6           for i in range(self.iteration_num):
   209   1186.4 MiB      0.0 MiB           5               x_reposition = self.x + self.position[0]
   210   1186.4 MiB      0.0 MiB           5               y_reposition = self.y + self.position[1]
   211   1186.4 MiB      0.0 MiB           5               yaw_angles = - Yaw_angles + self.position[3] * 60 / np.pi
   212   1186.4 MiB      0.0 MiB           5               layout_x = x_reposition.flatten()
   213   1186.4 MiB      0.0 MiB           5               layout_y = y_reposition.flatten()
   214                                         
   215   1186.4 MiB      0.0 MiB          10               self.fmodel.set(
   216   1186.4 MiB      0.0 MiB           5                   layout_x=np.asarray(layout_x, dtype=np.float64),
   217   1186.4 MiB      0.0 MiB           5                   layout_y=np.asarray(layout_y, dtype=np.float64),
   218   1186.4 MiB      0.0 MiB           5                   yaw_angles=np.asarray(yaw_angles, dtype=np.float64),
   219                                                     )
   220   1186.4 MiB      0.0 MiB           5               self.fmodel.run()
   221                                         
   222   1186.4 MiB      0.0 MiB           5               wind_speeds = self.fmodel.turbine_average_velocities
   223   1186.4 MiB      0.0 MiB           5               thrust_coefficients = self.fmodel.get_turbine_thrust_coefficients()
   224   1186.4 MiB      0.0 MiB           5               thrusts = 0.5 * 1.225 * (121 ** 2) * np.pi * thrust_coefficients * wind_speeds ** 2
   225                                         
   226   1186.4 MiB      0.0 MiB           5               theta = (-self.wind_direction_profile[self.j, 0] + 270 - Yaw_angles) * np.pi / 180
   227   1186.4 MiB      0.0 MiB          10               self.position = self.moor_look_up_table.get_position(
   228   1186.4 MiB      0.0 MiB           5                   (thrusts * np.cos(theta), thrusts * np.sin(theta)))
   229                                         
   230                                                 # get next observations
   231   1186.4 MiB      0.0 MiB           1           self.j = self.j + 1
   232   1186.4 MiB      0.0 MiB           1           wind_directions = self.wind_direction_profile[self.j, 0] * np.ones([1, self.N]) / 360
   233   1186.4 MiB      0.0 MiB           1           turbulence = self.turbulence_profile[self.j, 0] * np.ones([1, self.N]) / 0.2
   234   1186.4 MiB      0.0 MiB           2           next_obs = np.concatenate([self.fmodel.turbine_average_velocities.flatten() / 25, Yaw_angles.flatten() / 360,
   235   1186.4 MiB      0.0 MiB           1                                      self.position[0].flatten() / 200, self.position[1].flatten() / 200,
   236   1186.4 MiB      0.0 MiB           1                                      wind_directions.flatten() / 360,
   237   1186.4 MiB      0.0 MiB           1                                      turbulence.flatten() / 0.2])
   238                                         
   239   1186.4 MiB      0.0 MiB           1           power = self.fmodel.get_turbine_powers().flatten() / 1e6
   240   1186.4 MiB      0.0 MiB           1           aep = self.fmodel.get_farm_AEP()
   241   1186.4 MiB      0.0 MiB           1           aep_gwh = f"{aep / 1E9:.3f}"
   242                                         
   243   1186.4 MiB      0.0 MiB           1           V_0 = self.wind_speed_profile[self.j, 0]
   244                                         
   245                                                 # Get the AEP without wake
   246   1186.4 MiB      0.0 MiB           1           self.fmodel.run_no_wake()
   247   1186.4 MiB      0.0 MiB           1           aep_no_wake = self.fmodel.get_farm_AEP()
   248   1186.4 MiB      0.0 MiB           1           wake_losses = f'{100 * (aep_no_wake - aep) / aep_no_wake:.2f}'
   249                                         
   250                                                 # return
   251   1186.4 MiB      0.0 MiB           1           reward = self._reward(thrusts, Yaw_angles, power, V_0)
   252   1186.4 MiB      0.0 MiB           1           info = {
   253   1186.4 MiB      0.0 MiB           1               'power': power,
   254   1186.4 MiB      0.0 MiB           1               'aep': aep,
   255   1186.4 MiB      0.0 MiB           1               'aep_no_wake': aep_no_wake,
   256   1186.4 MiB      0.0 MiB           1               'aep_gwh': aep_gwh,
   257   1186.4 MiB      0.0 MiB           1               'wake_losses': wake_losses,
   258                                                 }
   259   1186.4 MiB      0.0 MiB           1           done = 0
   260   1186.4 MiB      0.0 MiB           1           if self.j == self.Tf - 1:
   261                                                     done = 1
   262   1186.4 MiB      0.0 MiB           1           return [next_obs, reward, done, info]


Fatal Python error: Segmentation fault

Thread 0x0000712904df9640 (most recent call first):
  <no Python frame>

Thread 0x00007129055fa640 (most recent call first):
  <no Python frame>

Current thread 0x0000712d6b348440 (most recent call first):
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/inspect.py", line 868 in getmodule
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/inspect.py", line 952 in findsource
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/inspect.py", line 1624 in getframeinfo
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/inspect.py", line 1650 in getouterframes
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/inspect.py", line 1673 in stack
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/site-packages/floris/type_dec.py", line 162 in convert_to_path
  File "<attrs generated methods floris.core.farm.Farm>", line 68 in __init__
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/site-packages/floris/type_dec.py", line 231 in from_dict
  File "<attrs generated methods floris.core.core.Core>", line 39 in __init__
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/site-packages/floris/type_dec.py", line 231 in from_dict
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/site-packages/floris/floris_model.py", line 289 in _reinitialize
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/site-packages/floris/floris_model.py", line 458 in set
  File "/home/lyj/code/FloatingFarmYaw/floris_environment_fix.py", line 215 in step
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/site-packages/memory_profiler.py", line 761 in f
  File "/home/lyj/.conda/envs/floris310/lib/python3.10/site-packages/memory_profiler.py", line 1188 in wrapper
  File "/home/lyj/code/FloatingFarmYaw/main.py", line 42 in train_online
  File "/home/lyj/code/FloatingFarmYaw/main.py", line 250 in main
  File "/home/lyj/code/FloatingFarmYaw/main.py", line 297 in <module>

Extension modules: numpy._core._multiarray_umath, numpy.linalg._umath_linalg, PIL._imaging, kiwisolver._cext, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pandas._libs.ops, numexpr.interpreter, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, torch._C, torch._C._dynamo.autograd_compiler, torch._C._dynamo.eval_frame, torch._C._dynamo.guards, torch._C._dynamo.utils, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, scipy._lib._ccallback_c, scipy.special._ufuncs_cxx, scipy.special._ufuncs, charset_normalizer.md, scipy.special._specfun, scipy.special._comb, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg._matfuncs_expm, scipy.linalg._linalg_pythran, scipy.linalg.cython_blas, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.special._ellip_harm_2, scipy.interpolate._fitpack, scipy.interpolate._dfitpack, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize._cython_nnls, scipy._lib._uarray._uarray, scipy.linalg._decomp_interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.spatial.transform._rotation, scipy.optimize._direct, scipy.interpolate._dierckx, scipy.interpolate._ppoly, scipy.interpolate._interpnd, scipy.interpolate._rbfinterp_pythran, scipy.interpolate._rgi_cython, scipy.interpolate._bspl, yaml._yaml, shapely.lib, shapely._geos, shapely._geometry_helpers, scipy.io.matlab._mio_utils, scipy.io.matlab._streams, scipy.io.matlab._mio5_utils, scipy.integrate._odepack, scipy.integrate._quadpack, scipy.integrate._vode, scipy.integrate._dop, scipy.integrate._lsoda, cftime._cftime, netCDF4._netCDF4, scipy.special.cython_special, scipy.stats._stats, scipy.stats._sobol, scipy.stats._qmc_cy, scipy.stats._biasedurn, scipy.stats._stats_pythran, scipy.stats._levy_stable.levyst, scipy.stats._ansari_swilk_statistics, scipy.stats._mvn, scipy.stats._rcont.rcont, scipy.ndimage._nd_image, scipy.ndimage._rank_filter_1d, _ni_label, scipy.ndimage._ni_label, psutil._psutil_linux (total: 159)
/tmp/tmpvzm12j0q：行 3: 26869 段错误               （核心已转储） python /home/lyj/code/FloatingFarmYaw/main.py
ERROR conda.cli.main_run:execute(127): `conda run python /home/lyj/code/FloatingFarmYaw/main.py` failed. (See above for error)

[misi9170]

Hmm. I'm not totally sure what's happening here---neither fmodel.set() nor fmodel.run() seems to be adding any incremental memory. This is not unexpected---if somewhere earlier in the class, you had already called fmodel.set() and fmodel.run() (for example, when you assigned fmodel to self), then all of the memory FLORIS needs should already be declared. But from this profile, the cause of the memory leak is not clear---it seems to be happening somewhere else in your code. Perhaps you could use the same memory_profiler class and see if there are other places in the code where the Increment column has a significant positive value, indicating that more memory is being assigned.

[lyj-12]

What I can confirm is that the error occurred at fmodel.set(layout_x, layout_y)，and sometimes it runs successfully, but most of the time it encounters a Segmentation fault. The code link is here: https://github.com/yangmingmei/FloatingFarmYaw/blob/main/floris_environment.py. My operating system is Ubuntu 22.04.5 LTS and Floris version: 4.5 and even 4.6 4.2 have the same question. I've tried everything I can think of, even reinstalling the environment, but nothing has solved the problem.

-----------before set-------------
------------after set-------------
-----------before set-------------
Fatal Python error: Segmentation fault

Thread 0x0000746419d84640 (most recent call first):
  <no Python frame>

Thread 0x000074641a585640 (most recent call first):
  <no Python frame>

Current thread 0x000074682b5b3440 (most recent call first):
  File "/home/lyj/.conda/envs/floris/lib/python3.12/copy.py", line 220 in _deepcopy_dict
  File "/home/lyj/.conda/envs/floris/lib/python3.12/copy.py", line 136 in deepcopy
  File "/home/lyj/.conda/envs/floris/lib/python3.12/copy.py", line 221 in _deepcopy_dict
  File "/home/lyj/.conda/envs/floris/lib/python3.12/copy.py", line 136 in deepcopy
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/core/farm.py", line 220 in __attrs_post_init__
  File "<attrs generated methods floris.core.farm.Farm>", line 95 in __init__
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/type_dec.py", line 234 in from_dict
  File "<attrs generated methods floris.core.core.Core>", line 39 in __init__
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/type_dec.py", line 234 in from_dict
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/floris_model.py", line 279 in _reinitialize
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/floris_model.py", line 448 in set
  File "/home/lyj/code/FloatingFarmYaw/floris_environment_fix.py", line 222 in step
  File "/home/lyj/code/FloatingFarmYaw/main2.py", line 46 in train_online
  File "/home/lyj/code/FloatingFarmYaw/main2.py", line 245 in main
  File "/home/lyj/code/FloatingFarmYaw/main2.py", line 290 in <module>

Extension modules: numpy._core._multiarray_umath, numpy.linalg._umath_linalg, PIL._imaging, kiwisolver._cext, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._pcg64, numpy.random._generator, numpy.random._mt19937, numpy.random._philox, numpy.random._sfc64, numpy.random.mtrand, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pandas._libs.ops, numexpr.interpreter, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, torch._C, torch._C._dynamo.autograd_compiler, torch._C._dynamo.eval_frame, torch._C._dynamo.guards, torch._C._dynamo.utils, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, scipy._lib._ccallback_c, scipy.special._ufuncs_cxx, scipy.special._ellip_harm_2, scipy.special._special_ufuncs, scipy.special._gufuncs, scipy.special._ufuncs, charset_normalizer.md, scipy.special._specfun, scipy.special._comb, scipy.linalg._fblas, scipy.linalg._flapack, _cyutility, scipy._cyutility, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_schur_sqrtm, scipy.linalg._matfuncs_expm, scipy.linalg._linalg_pythran, scipy.linalg.cython_blas, scipy.linalg._decomp_update, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.interpolate._fitpack, scipy.interpolate._dfitpack, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.optimize._group_columns, scipy._lib.messagestream, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._slsqplib, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy._lib._uarray._uarray, scipy.linalg._decomp_interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.spatial._ckdtree, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._hausdorff, scipy.spatial._distance_wrap, scipy.spatial.transform._rotation, scipy.spatial.transform._rigid_transform, scipy.optimize._direct, scipy.interpolate._dierckx, scipy.interpolate._ppoly, scipy.interpolate._interpnd, scipy.interpolate._rbfinterp_pythran, scipy.interpolate._rgi_cython, yaml._yaml, shapely.lib, shapely._geos, shapely._geometry_helpers, scipy.io.matlab._mio_utils, scipy.io.matlab._streams, scipy.io.matlab._mio5_utils, scipy.integrate._odepack, scipy.integrate._quadpack, scipy.integrate._vode, scipy.integrate._dop, scipy.integrate._lsoda, cftime._cftime, scipy.special.cython_special, scipy.stats._stats, scipy.stats._biasedurn, scipy.stats._stats_pythran, scipy.stats._levy_stable.levyst, scipy.stats._ansari_swilk_statistics, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.stats._sobol, scipy.stats._qmc_cy, scipy.stats._rcont.rcont, scipy.stats._qmvnt_cy, scipy.ndimage._nd_image, scipy.ndimage._rank_filter_1d, _ni_label, scipy.ndimage._ni_label, rasterio._err, rasterio._filepath, rasterio._version, rasterio._env, rasterio.crs, rasterio._transform, rasterio._base, rasterio._features, rasterio._warp, rasterio._io, rasterio._vsiopener, pyproj._compat, pyproj._context, pyproj._network, pyproj._version, pyproj._geod, pyproj.list, pyproj._crs, pyproj.database, pyproj._transformer, pyproj._sync, netCDF4._netCDF4 (total: 181)
/tmp/tmpyaglmp07：行 3:  4564 段错误               （核心已转储） python /home/lyj/code/FloatingFarmYaw/main2.py
ERROR conda.cli.main_run:execute(127): `conda run python /home/lyj/code/FloatingFarmYaw/main2.py` failed. (See above for error)

Traceback (most recent call last):
  File "/home/lyj/code/FloatingFarmYaw/main2.py", line 290, in <module>
    main(name)
  File "/home/lyj/code/FloatingFarmYaw/main2.py", line 245, in main
    train_online(RL_agent, env, eval_env, args)
  File "/home/lyj/code/FloatingFarmYaw/main2.py", line 46, in train_online
    next_state, reward, ep_finished, info = env.step(action)
                                            ^^^^^^^^^^^^^^^^
  File "/home/lyj/code/FloatingFarmYaw/floris_environment_fix.py", line 221, in step
    self.fmodel.set(
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/floris_model.py", line 448, in set
    self._reinitialize(
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/floris_model.py", line 279, in _reinitialize
    self.core = Core.from_dict(floris_dict)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/type_dec.py", line 234, in from_dict
    return cls(**kwargs)
           ^^^^^^^^^^^^^
  File "<attrs generated methods floris.core.core.Core>", line 39, in __init__
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/type_dec.py", line 234, in from_dict
    return cls(**kwargs)
           ^^^^^^^^^^^^^
  File "<attrs generated methods floris.core.farm.Farm>", line 95, in __init__
  File "/home/lyj/.conda/envs/floris/lib/python3.12/site-packages/floris/core/farm.py", line 220, in __attrs_post_init__
    copy.deepcopy(self._turbine_definition_cache[t]) for t in self._turbine_types
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/lyj/.conda/envs/floris/lib/python3.12/copy.py", line 136, in deepcopy
    y = copier(x, memo)
        ^^^^^^^^^^^^^^^
  File "/home/lyj/.conda/envs/floris/lib/python3.12/copy.py", line 220, in _deepcopy_dict
    for key, value in x.items():
        ^^^^^^^^^^
SystemError: bad BUILD_CONST_KEY_MAP keys argument
ERROR conda.cli.main_run:execute(127): `conda run python /home/lyj/code/FloatingFarmYaw/main2.py` failed. (See above for error)

Could I use this

self.fmodel.core.farm.layout_x = np.asarray(x_reposition.flatten(), dtype=np.float64)
self.fmodel.core.farm.layout_y = np.asarray(y_reposition.flatten(), dtype=np.float64)
self.fmodel.core.farm.yaw_angles = np.asarray(- Yaw_angles + self.position[3] * 60 / np.pi, dtype=np.float64)

instead of set to avoid every iteration refactoring FlorisModel?

self.fmodel.set(
      layout_x=np.asarray(x_reposition.flatten(), dtype=np.float64),
       layout_y=np.asarray(y_reposition.flatten(), dtype=np.float64),
       yaw_angles=np.asarray(- Yaw_angles + self.position[3] * 60 / np.pi, dtype=np.float64),
            )

[misi9170]

Hi @lyj-12 ,

Unfortunately, no, you can't simply overwrite the layout_x and layout_y attributes on farm, because those attributes are critical for correctly creating the grid used for solving (and simply overwriting them without calling set() will not correctly rerun the grid generating code).

The yaw_angles alone can be set without running a full set() operation---we provide a way of doing this with FlorisModel.set_operation()---but this may not be very useful to you since you also want to change the layout.

Now, looking back on the full traceback you shared, I see that there is a SystemError being raised: SystemError: bad BUILD_CONST_KEY_MAP keys argument. I have not seen this before, and I'm not totally sure what it means. I will try looking at your code to see if I can recreate the issue.

[misi9170]

I see that you've tested in both python 3.10 and 3.12. Based on the errors being generated, I'm wondering if this could be a memory leak related to this: SystemError: bad BUILD_CONST_KEY_MAP keys argument. It looks like a PR was merged to address the issue here: python/cpython#109257, but perhaps that only applies to python 3.13 and later (there are also mentions of "manual backports" to versions 3.11 and 3.12, but I'll have to admit that I don't know what that means)