solve-fe

[Farid1488]

"Hello, I have installed version 0.4.1 of PyMKS. However, when I try to use solve_fe and run the composite stiffness calculation example, I encounter the following error. Could you please assist me if you're familiar with this issue?"

Thank you

AttributeError Traceback (most recent call last)
Cell In[5], line 8
1 #PYTEST_VALIDATE_IGNORE_OUTPUT
3 y_stress = solve_fe(x_data,
4 elastic_modulus=(270, 200),
5 poissons_ratio=(0.28, 0.3),
6 macro_strain=0.001)['stress'][..., 0]
----> 8 y_data = da.average(y_stress.reshape(y_stress.shape[0], -1), axis=1).persist()

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\base.py:263, in DaskMethodsMixin.persist(self, **kwargs)
224 def persist(self, **kwargs):
225 """Persist this dask collection into memory
226
227 This turns a lazy Dask collection into a Dask collection with the same
(...)
261 dask.base.persist
262 """
--> 263 (result,) = persist(self, traverse=False, **kwargs)
264 return result

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\base.py:836, in persist(traverse, optimize_graph, scheduler, *args, **kwargs)
833 keys.extend(a_keys)
834 postpersists.append((rebuild, a_keys, state))
--> 836 results = schedule(dsk, keys, **kwargs)
837 d = dict(zip(keys, results))
838 results2 = [r({k: d[k] for k in ks}, *s) for r, ks, s in postpersists]

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\threaded.py:81, in get(dsk, result, cache, num_workers, pool, **kwargs)
78 elif isinstance(pool, multiprocessing.pool.Pool):
79 pool = MultiprocessingPoolExecutor(pool)
---> 81 results = get_async(
82 pool.submit,
83 pool._max_workers,
84 dsk,
85 result,
86 cache=cache,
87 get_id=_thread_get_id,
88 pack_exception=pack_exception,
89 **kwargs,
90 )
92 # Cleanup pools associated to dead threads
93 with pools_lock:

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\local.py:506, in get_async(submit, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, chunksize, **kwargs)
504 _execute_task(task, data) # Re-execute locally
505 else:
--> 506 raise_exception(exc, tb)
507 res, worker_id = loads(res_info)
508 state["cache"][key] = res

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\local.py:314, in reraise(exc, tb)
312 if exc.traceback is not tb:
313 raise exc.with_traceback(tb)
--> 314 raise exc

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\local.py:219, in execute_task(key, task_info, dumps, loads, get_id, pack_exception)
217 try:
218 task, data = loads(task_info)
--> 219 result = _execute_task(task, data)
220 id = get_id()
221 result = dumps((result, id))

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in _execute_task(arg, cache, dsk)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in (.0)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:113, in _execute_task(arg, cache, dsk)
85 """Do the actual work of collecting data and executing a function
86
87 Examples
(...)
110 'foo'
111 """
112 if isinstance(arg, list):
--> 113 return [_execute_task(a, cache) for a in arg]
114 elif istask(arg):
115 func, args = arg[0], arg[1:]

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:113, in (.0)
85 """Do the actual work of collecting data and executing a function
86
87 Examples
(...)
110 'foo'
111 """
112 if isinstance(arg, list):
--> 113 return [_execute_task(a, cache) for a in arg]
114 elif istask(arg):
115 func, args = arg[0], arg[1:]

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in _execute_task(arg, cache, dsk)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in (.0)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in _execute_task(arg, cache, dsk)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in (.0)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg

[... skipping similar frames: _execute_task at line 119 (2 times), <genexpr> at line 119 (1 times)]

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in (.0)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg

File ~\AppData\Local\anaconda3\envs\pythonProject10\lib\site-packages\dask\core.py:119, in _execute_task(arg, cache, dsk)
115 func, args = arg[0], arg[1:]
116 # Note: Don't assign the subtask results to a variable. numpy detects
117 # temporaries by their reference count and can execute certain
118 # operations in-place.
--> 119 return func(*(_execute_task(a, cache) for a in args))
120 elif not ishashable(arg):
121 return arg