Traceback (most recent call last):

 "gui\installerGui.pyo", line 211, in doCreatePortable

 "gui__init__.pyo", line 620, in **init**OSError: error 5 copying \?\C:\Program 
s (x86)\NVDA\Uninstall.dat
150/151 [============================>.] - ETA: 1s - loss: 0.1323 - accuracy: 0.7730 - auroc: 0.7737Traceback (most recent call last):


 "siamese.py", line 201, in <module>

main(args)


 "siamese.py", line 168, in main

validation_data=va_gen, callbacks=[time_callback])


 "/home/s/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 1433, in fit_generator

steps_name='steps_per_epoch')


 "/home/s/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training_generator.py", line 322, in model_iteration

steps_name='validation_steps')


 "/home/s/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training_generator.py", line 220, in model_iteration

batch_data = _get_next_batch(generator, mode)


 "/home/s/.local/lib/python3.6/site-packages/tensorflow/python/keras/engine/training_generator.py", line 362, in _get_next_batch

generator_output = next(generator)


 "/home/s/.local/lib/python3.6/site-packages/tensorflow/python/keras/utils/data_utils.py", line 785, in get

six.reraise(*sys.exc_info())


 "/home/s/.local/lib/python3.6/site-packages/six.py", line 693, in reraise

raise value


 "/home/s/.local/lib/python3.6/site-packages/tensorflow/python/keras/utils/data_utils.py", line 779, in get

inputs = self.queue.get(block=True).get()


 "/software/software/Python/3.6.6-foss-2018b/lib/python3.6/multiprocessing/pool.py", line 644, in get

raise self._value


 "/software/software/Python/3.6.6-foss-2018b/lib/python3.6/multiprocessing/pool.py", line 119, in worker

result = (True, func(*args, **kwds))


 "/home/s/.local/lib/python3.6/site-packages/tensorflow/python/keras/utils/data_utils.py", line 571, in get_index

return _SHARED_SEQUENCES[uid][i]


 "/data/s/thesis/vaex_generator.py", line 34, in __getitem__

X, y = self.__data_generation(list_IDs_temp)


 "/data/s2/thesis/vaex_generator.py", line 54, in __data_generation

text1 = row['text1'].values[0]


 "/home/s/.local/lib/python3.6/site-packages/vaex/expression.py", line 320, in values

return self.evaluate()


 "/home/s/.local/lib/python3.6/site-packages/vaex/expression.py", line 668, in evaluate

return self.ds.evaluate(self, i1, i2, out=out, selection=selection, parallel=parallel)


 "/home/s/.local/lib/python3.6/site-packages/vaex/dataframe.py", line 5120, in evaluate

return self._evaluate_implementation(expression, i1=i1, i2=i2, out=out, selection=selection, filtered=filtered, internal=internal, parallel=parallel, chunk_size=chunk_size)


 "/home/s/.local/lib/python3.6/site-packages/vaex/dataframe.py", line 5177, in _evaluate_implementation

max_stop = (len(self) if (self.filtered and filtered) else self.length_unfiltered())


 "/home/s/.local/lib/python3.6/site-packages/vaex/dataframe.py", line 3715, in __len__

self. _cached_filtered_length = int(self.count())


 "/home/s/.local/lib/python3.6/site-packages/vaex/dataframe.py", line 711, in count

return self._compute_agg('count', expression, binby, limits, shape, selection, delay, edges, progress)


 "/home/s/.local/lib/python3.6/site-packages/vaex/dataframe.py", line 686, in _compute_agg

return self._delay(delay, var)


 "/home/s/.local/lib/python3.6/site-packages/vaex/dataframe.py", line 1428, in _delay

self.execute()


 "/home/s/.local/lib/python3.6/site-packages/vaex/dataframe.py", line 293, in execute

self.executor.execute()


 "/home/s/.local/lib/python3.6/site-packages/vaex/execution.py", line 127, in execute

raise RuntimeError("nested execute call")
RuntimeError: nested execute call
