The following code:
eng = matlab.engine.start_matlab()
eng.eval('i=1;', nargout=0)
eng.eval('while i<10', nargout=0)
eng.eval('i=i+1', nargout=0)
eng.eval('end;', nargout=0)
eng.quit()
always shows the following error:
Traceback (most recent call last):
File "while.py", line 13, in <module>
main()
File "while.py", line 7, in main
eng.eval('while i<10', nargout=0)
File "/Library/Python/2.7/site-packages/matlab/engine/matlabengine.py", line 84, in __call__
_stderr, feval=True).result()
File "/Library/Python/2.7/site-packages/matlab/engine/futureresult.py", line 68, in result
return self.__future.result(timeout)
File "/Library/Python/2.7/site-packages/matlab/engine/fevalfuture.py", line 82, in result
self._result = pythonengine.getFEvalResult(self._future,self._nargout, None, out=self._out, err=self._err)
SyntaxError: Error: At least one END is missing: the statement may begin here.
as if the 'end;' statement is not executed in the Matlab workspace. Why? What is the solution ?
The eval() needs to complete on its own. Try this (UNTESTED):
eng = matlab.engine.start_matlab()
eng.eval('i=1; while i<10; i=i+1; end', nargout=0)
eng.quit()
Related
I have defined a new derived dimension with
[molar_energy] = [energy] / [substance]
However, if I do the following it complains:
>>> UR.get_compatible_units('[molar_energy]')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/cedric/.local/share/virtualenvs/MatDB--uGOYMXa/lib/python3.9/site-packages/pint/registry.py", line 881, in get_compatible_units
equiv = self._get_compatible_units(input_units, group_or_system)
File "/Users/cedric/.local/share/virtualenvs/MatDB--uGOYMXa/lib/python3.9/site-packages/pint/registry.py", line 2082, in _get_compatible_units
ret = super()._get_compatible_units(input_units, group_or_system)
File "/Users/cedric/.local/share/virtualenvs/MatDB--uGOYMXa/lib/python3.9/site-packages/pint/registry.py", line 1835, in _get_compatible_units
ret = super()._get_compatible_units(input_units, group_or_system)
File "/Users/cedric/.local/share/virtualenvs/MatDB--uGOYMXa/lib/python3.9/site-packages/pint/registry.py", line 891, in _get_compatible_units
return self._cache.dimensional_equivalents[src_dim]
KeyError: <UnitsContainer({'[length]': 2, '[mass]': 1, '[substance]': -1, '[time]': -2})
I saw that there is a conversion included in a context but I don't use it. What I am doing wrong?
Thanks for your help
PS: logged issue https://github.com/hgrecco/pint/issues/1418
Just leaving the solution here for anyone who faces this issue as well.
I just added a made-up unit and it worked
# Molar Energy
[molar_energy] = [energy] / [substance]
mol_en = J / mol
How to resume training from the saved snapshot in chainer.I was trying to implement DCGAN using chainer using the following github link:
https://github.com/chainer/chainer/blob/master/examples/dcgan/train_dcgan.py
When I try to give the --resume parameter it is showing shape mismatch error in the network.
In the python code there is option to give snaptshot from which we need to resume the training.These snapshots are automatically getting saved to result folder.That is also given as argument in the code.So I tried to resume training from the saved snapshot by giving the below command.
$ python train.py --resume 'snapshot.npz'
where train.py is the modified code with label for dcgan ciphar10 dataset.
The error I got by giving the above command is :
chainer.utils.type_check.InvalidType:
Invalid operation is performed in: LinearFunction (Forward)
Expect: x.shape[1] == W.shape[1]
Actual: 110 != 100
When I run the python file with the below command there is no error:
$ python train.py
Complete error trace:
Exception in main training loop:
Invalid operation is performed in: LinearFunction (Forward)
Expect: x.shape[1] == W.shape[1]
Actual: 110 != 100
Traceback (most recent call last):
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/trainer.py, line 315, in run
update()
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py, line 165, in update
self.update_core()
File /home/964769/Lakshmi/DCGAN/updater_with_label.py, line 50, in update_core
x_fake = gen(z,labels)
File /home/964769/Lakshmi/DCGAN/net_with_label.py, line 61, in call
h = F.reshape(F.relu(self.bn0(self.l0(F.concat((z,t),axis=1)))),
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/link.py, line 242, in call
out = forward(args, *kwargs)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/links/connection/linear.py, line 138, in forward
return linear.linear(x, self.W, self.b, n_batch_axes=n_batch_axes)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 288, in linear
y, = LinearFunction().apply(args)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 245, in apply
self.check_data_type_forward(in_data)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 330, in check_data_type_forward
self.check_type_forward(in_type)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 27, in check_type_forward
x_type.shape[1] == w_type.shape[1],
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/typecheck.py, line 546, in expect
expr.expect()
File/home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/typecheck.py, line 483, in expect
'{0} {1} {2}'.format(left, self.inv, right))
Will finalize trainer extensions and updater before reraising the exception.
Traceback (most recent call last):
Filetrain.py, line 140, in
main()
Filetrain.py, line 135, in main
trainer.run()
File/home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/trainer.py, line 329, in run
six.reraise(sys.exc_info())
File /home/964769/anaconda3/lib/python3.6/site-packages/six.py, line 686, in reraise
raise value
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/trainer.py, line 315, in run
update()
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/training/updaters/standard_updater.py, line 165, in update
self.update_core()
File /home/964769/Lakshmi/DCGAN/updater_with_label.py, line 50, in update_core
x_fake = gen(z,labels)
File /home/964769/Lakshmi/DCGAN/net_with_label.py, line 61, in call
h = F.reshape(F.relu(self.bn0(self.l0(F.concat((z,t),axis=1)))),
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/link.py, line 242, in call
out = forward(args, **kwargs)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/links/connection/linear.py, line 138, in forward
return linear.linear(x, self.W, self.b, n_batch_axes=n_batch_axes)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 288, in linear
y, = LinearFunction().apply(args)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 245, in apply
self.check_data_type_forward(in_data)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/function_node.py, line 330, in check_data_type_forward
self.check_type_forward(in_type)
File /home/964769/anaconda3/lib/python3.6/site-packages/chainer/functions/connection/linear.py, line 27, in checktype_forward
x_type.shape[1] == w_type.shape[1],
File "/home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/typecheck.py, line 546, in expect
expr.expect()
File/home/964769/anaconda3/lib/python3.6/site-packages/chainer/utils/type_check.py", line 483, in expect
'{0} {1} {2}'.format(left, self.inv, right))
chainer.utils.type_check.InvalidType:
Invalid operation is performed in: LinearFunction (Forward)
Expect: x.shape[1] == W.shape[1]
Actual: 110 != 100
I am exploring the Platypus library for multi-objective optimization in Python. It appears to me that Platypus should support variables (optimization parameters) as integers out of the box, however this simple problem (two objectives, three variables, no constraints and Integer variables with SMPSO):
from platypus import *
def my_function(x):
""" Some objective function"""
return [-x[0] ** 2 - x[2] ** 2, x[1] - x[0]]
def AsInteger():
problem = Problem(3, 2) # define 3 inputs and 1 objective (and no constraints)
problem.directions[:] = Problem.MAXIMIZE
int1 = Integer(-50, 50)
int2 = Integer(-50, 50)
int3 = Integer(-50, 50)
problem.types[:] = [int1, int2, int3]
problem.function = my_function
algorithm = SMPSO(problem)
algorithm.run(10000)
Results into:
Traceback (most recent call last):
File "D:\MyProjects\Drilling\test_platypus.py", line 62, in
AsInteger()
File "D:\MyProjects\Drilling\test_platypus.py", line 19, in AsInteger
algorithm.run(10000)
File "build\bdist.win-amd64\egg\platypus\core.py", line 405, in run
File "build\bdist.win-amd64\egg\platypus\algorithms.py", line 820, in step
File "build\bdist.win-amd64\egg\platypus\algorithms.py", line 838, in iterate
File "build\bdist.win-amd64\egg\platypus\algorithms.py", line 1008, in _update_velocities
TypeError: unsupported operand type(s) for -: 'list' and 'list'
Similarly, if I try to use another optimization technique in Platypus (CMAES instead of SMPSO):
Traceback (most recent call last):
File "D:\MyProjects\Drilling\test_platypus.py", line 62, in
AsInteger()
File "D:\MyProjects\Drilling\test_platypus.py", line 19, in AsInteger
algorithm.run(10000)
File "build\bdist.win-amd64\egg\platypus\core.py", line 405, in run
File "build\bdist.win-amd64\egg\platypus\algorithms.py", line 1074, in step
File "build\bdist.win-amd64\egg\platypus\algorithms.py", line 1134, in initialize
File "build\bdist.win-amd64\egg\platypus\algorithms.py", line 1298, in iterate
File "build\bdist.win-amd64\egg\platypus\core.py", line 378, in evaluate_all
File "build\bdist.win-amd64\egg\platypus\evaluator.py", line 88, in evaluate_all
File "build\bdist.win-amd64\egg\platypus\evaluator.py", line 55, in run_job
File "build\bdist.win-amd64\egg\platypus\core.py", line 345, in run
File "build\bdist.win-amd64\egg\platypus\core.py", line 518, in evaluate
File "build\bdist.win-amd64\egg\platypus\core.py", line 160, in call
File "build\bdist.win-amd64\egg\platypus\types.py", line 147, in decode
File "build\bdist.win-amd64\egg\platypus\tools.py", line 521, in gray2bin
TypeError: 'float' object has no attribute 'getitem'
I get other types of error messages with other algorithms (OMOPSO, GDE3). While the algorithms NSGAIII, NSGAII, SPEA2, etc... appear to be working.
Has anyone ever encountered such issues? Maybe I am specifying the problem in te wrong way?
Thank you in advance for any suggestion.
Andrea.
try to change the way u add the problem type
problem.types[:] = [integer(-50,50),integer(-50,50),integer(-50,50)]
could work this way
I literally have these two lines of code in sequence:
print(len(counter.ondas))
onda = counter.ondas[-1]
I got 13 printed for the first line and it crashed giving me tracebook to the onda = counter.ondas[-1] line saying IndexError: list index out of range right after printing len(list).
It works thousands of times before crashing. I have no clue on how to approach this problem.
Output for print(counter.ondas):
[Onda([<workers.mov.Mov object at 0x244EA050>], [Candle(4, 'GBP_JPY', Timestamp('2017-06-12 16:59:00'), 138.884, 138.897, 138.674, 138.76, 10957.0, True)]), Onda([<workers.mov.Mov object at 0x245073D0>], [Candle(4, 'GBP_JPY', Timestamp('2017-06-12 16:59:00'), 138.884, 138.897, 138.674, 138.76, 10957.0, True)...]
Output for print(type(counter.ondas)):
<class 'list'>
Output for print(isinstance(counter.ondas, list)):
True
Full Error Traceback
Traceback (most recent call last):
File "C:\Users\joaoa\AppData\Local\Programs\Python\Python36-32\lib\multiprocessing\pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "C:\Users\joaoa\AppData\Local\Programs\Python\Python36-32\lib\multiprocessing\pool.py", line 44, in mapstar
return list(map(*args))
File "C:\Users\joaoa\PycharmProjects\aquitania\general_manager.py", line 88, in load_observer_manager
observer_manager.update_load_run_data()
File "C:\Users\joaoa\PycharmProjects\aquitania\observer\management\observer_manager.py", line 78, in update_load_run_data
self.load_run_data()
File "C:\Users\joaoa\PycharmProjects\aquitania\observer\management\observer_manager.py", line 91, in load_run_data
self.feeder.exec_df(df[self.start_date:])
File "C:\Users\joaoa\PycharmProjects\aquitania\data_source\feeder.py", line 429, in exec_df
self.feed(candle)
File "C:\Users\joaoa\PycharmProjects\aquitania\data_source\feeder.py", line 98, in feed
self.make_candle(ts, candle, criteria_table)
File "C:\Users\joaoa\PycharmProjects\aquitania\data_source\feeder.py", line 126, in make_candle
self.set_values(ts, candle)
File "C:\Users\joaoa\PycharmProjects\aquitania\data_source\feeder.py", line 310, in set_values
ts_obs.feed_complete(self._candles[ts])
File "C:\Users\joaoa\PycharmProjects\aquitania\observer\management\observer_loader.py", line 100, in feed_complete
observer.update_last_candle(candle, store_candle)
File "C:\Users\joaoa\PycharmProjects\aquitania\observer\abstract\observer_abc.py", line 93, in update_last_candle
self.set_observe(self.update_method(candle))
File "C:\Users\joaoa\PycharmProjects\aquitania\observer\ondas\ondas_inside.py", line 393, in update_method
self.update_routine(counter_id=2, candle=candle)
File "C:\Users\joaoa\PycharmProjects\aquitania\observer\ondas\ondas_inside.py", line 412, in update_routine
onda = list(counter.ondas)[-1]
IndexError: list index out of range
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:/Users/joaoa/PycharmProjects/aquitania/general_manager.py", line 145, in <module>
gm.run()
File "C:/Users/joaoa/PycharmProjects/aquitania/general_manager.py", line 113, in run
list_of_observer_managers = self.load_all_observer_managers()
File "C:/Users/joaoa/PycharmProjects/aquitania/general_manager.py", line 60, in load_all_observer_managers
observer = currency_pool.map(self.load_observer_manager, list_of_currencies)
File "C:\Users\joaoa\AppData\Local\Programs\Python\Python36-32\lib\multiprocessing\pool.py", line 266, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "C:\Users\joaoa\AppData\Local\Programs\Python\Python36-32\lib\multiprocessing\pool.py", line 644, in get
raise self._value
IndexError: list index out of range
I was able to idenfity the issue. The error was being thrown in a separate process than the one that was being printed and for some reason the error ocurred only after the process that was printing the results was interrupted by another unrelated error.
Weird behavior, but now I am able to tackle the problem.
Debugging in a single process mode helped a lot.
Thank you for your help.
I want to analyze log file of mongodb. I am referred to use m-tools. But I'm getting following error.
I've typed in terminal
mlonginfo /..logfilelocation../ --queries
Error:
QUERIES [============================== ] 74.1 % Traceback (most recent call last):
File "/usr/local/bin/mloginfo", line 9, in <module>
load_entry_point('mtools==1.1.8', 'console_scripts', 'mloginfo')()
File "/usr/local/lib/python2.7/dist-packages/mtools/mloginfo/mloginfo.py", line 82, in main
tool.run()
File "/usr/local/lib/python2.7/dist-packages/mtools/mloginfo/mloginfo.py", line 77, in run
section.run()
File "/usr/local/lib/python2.7/dist-packages/mtools/mloginfo/sections/query_section.py", line 51, in run
for i, le in enumerate(logfile):
File "/usr/local/lib/python2.7/dist-packages/mtools/util/logfile.py", line 208, in __iter__
le = self.next()
File "/usr/local/lib/python2.7/dist-packages/mtools/util/logfile.py", line 190, in next
ret = le.set_datetime_hint(self._datetime_format, self._datetime_nextpos, self.year_rollover)
File "/usr/local/lib/python2.7/dist-packages/mtools/util/logevent.py", line 246, in set_datetime_hint
if not self.split_tokens[self._datetime_nextpos-1][0].isdigit():
IndexError: list index out of range
Thanks in advance.