dill

问题 I am getting a dill/pickle memory error when loading a serialized object file. I am not quite sure what is happening and I am unsure on how to fix it. When I call: stat_bundle = train_batch_iterator(clf, TOTAL_TRAINED_EVENTS) The code traces to the train_batch_iterator function in which it loads a serialized object and trains the classifier with the data within the object. This is the code: def train_batch_iterator(clf, tte): plot_data = [] # initialize plot data array for file in glob.glob('

问题 I am setting up communication to an Arduino that is in turn communicating with a couple of digital-to-analog controllers (www.opendacs.com for more details). I am doing this in a python wrapper in order to be able to better integrate it with the rest of my team's codebase. For my specific application, the serial port needs to be accessible (currently using pyserial) even if the current ipython session is closed out suddenly without shutting down the serial port. I thought I would use Dill to

问题 I'd like to replace MPI4PY's built-in Pickle -serialization with dill. According to the doc the class _p_Pickle should have 2 attributes called dumps and loads . However, python says there are no such attributes when i try the following from mpi4py Import MPI MPI._p_Pickle.dumps -> AttributeError: type object 'mpi4py.MPI._p_Pickle' has no attribute 'dumps' Where have dumps and loads gone? 回答1: In v2.0 you can change it via MPI.pickle.dumps = dill.dumps MPI.pickle.loads = dill.loads It seems

问题 I'm using anaconda (myenv3) foo@foo:~$ which conda /home/foo/anaconda3/bin/conda where in "myenv3" I have dill=2.8.2 installed: (myenv3) foo@foo:~$ conda list -n myenv3 dill # packages in environment at /home/foo/anaconda3/envs/myenv3: # # Name Version Build Channel dill 0.2.8.2 py36_0 conda-forge If I run python , I'll get exactly that environment: (myenv3) foo@foo:~$ which python /home/foo/anaconda3/envs/myenv3/bin/python But if I do, dill appears to have an older version: (myenv3) foo@foo:

问题 I'm trying to serialize some code I did not write and cannot modify that needs to be pickled/dilled. The script contains a mongodb collection object---it isn't actually used later, but dilling it is throwing an error. When I try dilling it, I receive the error: Collection object is not callable. If you meant to call __getnewargs__ method on a 'Database' object it is failing because no such method exists. I see code here that is enumerating the accepted types: https://github.com/uqfoundation

问题 In the answer to Python pickle: dealing with updated class definitions, the author of the dill package writes: "Ok, I have added this feature to dill in the latest revision on github. Implemented with far less trickery than I thought... just serialize the class definition with the pickle, and voila." Having installed dill and tinkered with it, it's not obvious to me how to actually use this functionality in dill . Could someone provide an explicit example? I would like to pickle the class

问题 short short version: I am having trouble parallelizing code which uses instance methods. Longer version: This python code produces the error: Error Traceback (most recent call last): File "/Users/gilzellner/dev/git/3.2.1-build/cloudify-system-tests/cosmo_tester/test_suites/stress_test_openstack/test_file.py", line 24, in test self.pool.map(self.f, [self, url]) File "/Users/gilzellner/.virtualenvs/3.2.1-build/lib/python2.7/site-packages/pathos/multiprocessing.py", line 131, in map return _pool

问题 I'm trying to use the dill module to save my ipython session using dump_session() but I'm getting an error message. I'm using Ipython 1.0.0 and dill 0.2-a-dev 20120503. Does anyone out there have any insight? Thanks in advance. Niall Here's the enormous traceback: --------------------------------------------------------------------------- AssertionError Traceback (most recent call last) <ipython-input-15-9934c16a537e> in <module>() ----> 1 dill.dump_session("/data/local/nrobin/tset.sess")

问题 I'm exploring the detect method of Dill and am looking for a good simple example of a bad item - one that's unpicklable by Dill. I first thought of a process and tried: >>> proc = os.popen('ls -l') >>> proc <open file 'ls -l', mode 'r' at 0x10071d780> >>> dill.detect.baditems(proc) [] >>> dill.dumps(proc) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/mikekilmer/Envs/env1/lib/python2.7/site-packages/dill/dill.py", line 143, in dumps dump(obj, file,

问题 I have installed dill/pathos and its dependencies (with some difficulty) and I'm trying to perform a function over several processes. The class/attribute Model(self.xml,self.exp_data,i).SSR is custom made and depends on loads of other custom functions so I apologize in advance for not being able to provide 'runnable' code. In brief however, it takes some experimental data, integrates a system of ODE's with python's pysces module and calculates the sum of squares ( SSR ). The purpose for