pickle | A code generating implementation of Cucumber for Android | Functional Testing library
kandi X-RAY | pickle Summary
kandi X-RAY | pickle Summary
Pickle is an implementation of Cucumber for Android which generates the tests classes at compile time instead of runtime. The main advantage over cucumber-android is that you won't need to use a different instrumentation runner for your Cucumber tests, and that, being generated, you can debug and inspect the tests, which makes it easier to debug errors.
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QUESTION
I have some old sklearn models which I can't retrain. They were pickled long time ago with unclear versions. I can open them with Python 3.6 and Numpy 1.14. But when I try to move to Python 3.8 with Numpy 1.18, I get a segfault on loading them.
I tried dumping them with protocol 4 from Python 3.6, it didn't help.
Saving:
...ANSWER
Answered 2022-Apr-08 at 08:24What worked for me (very task-specific but maybe will help someone):
Old dependencies:
QUESTION
I am working on a CNN Sentiment analysis machine learning model which uses the IMDb dataset provided by the Torchtext library. On one of my lines of code
vocab = Vocab(counter, min_freq = 1, specials=('\', '\', '\', '\'))
I am getting a TypeError for the min_freq argument even though I am certain that it is one of the accepted arguments for the function. I am also getting UserWarning Lambda function is not supported for pickle, please use regular python function or functools partial instead. Full code
...ANSWER
Answered 2022-Apr-04 at 09:26As https://github.com/pytorch/text/issues/1445 mentioned, you should change "Vocab" to "vocab". I think they miss-type the legacy-to-new notebook.
correct code:
QUESTION
I have trained an RNN model with pytorch. I need to use the model for prediction in an environment where I'm unable to install pytorch because of some strange dependency issue with glibc. However, I can install numpy and scipy and other libraries. So, I want to use the trained model, with the network definition, without pytorch.
I have the weights of the model as I save the model with its state dict and weights in the standard way, but I can also save it using just json/pickle files or similar.
I also have the network definition, which depends on pytorch in a number of ways. This is my RNN network definition.
...ANSWER
Answered 2022-Feb-17 at 10:47You should try to export the model using torch.onnx. The page gives you an example that you can start with.
An alternative is to use TorchScript, but that requires torch libraries.
Both of these can be run without python. You can load torchscript in a C++ application https://pytorch.org/tutorials/advanced/cpp_export.html
ONNX is much more portable and you can use in languages such as C#, Java, or Javascript https://onnxruntime.ai/ (even on the browser)
A running exampleJust modifying a little your example to go over the errors I found
Notice that via tracing any if/elif/else, for, while will be unrolled
QUESTION
I have created a class for word2vec vectorisation which is working fine. But when I create a model pickle file and use that pickle file in a Flask App, I am getting an error like:
AttributeError: module
'__main__'has no attribute 'GensimWord2VecVectorizer'
I am creating the model on Google Colab.
Code in Jupyter Notebook:
...ANSWER
Answered 2022-Feb-24 at 11:48Import GensimWord2VecVectorizer in your Flask Web app python file.
QUESTION
I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:
...ANSWER
Answered 2021-Aug-26 at 14:53I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.
QUESTION
For me what I do is detect what is unpickable and make it into a string (I guess I could have deleted it too but then it will falsely tell me that field didn't exist but I'd rather have it exist but be a string). But I wanted to know if there was a less hacky more official way to do this.
Current code I use:
...ANSWER
Answered 2022-Jan-19 at 22:30Yes, a try/except is the best way to go about this.
Per the docs, pickle is capable of recursively pickling objects, that is to say, if you have a list of objects that are pickleable, it will pickle all objects inside of that list if you attempt to pickle that list. This means that you cannot feasibly test to see if an object is pickleable without pickling it. Because of that, your structure of:
QUESTION
I am trying to call C functions inside python and discovered the ctypes library (I'm fairly new to both C and python's ctypes), motive (however stupid) is to make python code's speed on par with c++ or close enough on a competitive website. I have written the C code and made a shared library with the following command cc -fPIC -shared -o lib.so test.c and imported it into python with ctypes using the following code:
ANSWER
Answered 2022-Jan-04 at 05:31from ctypes import *
# int add(int x, int y)
# {
# return (x+y);
# }
code = b'\x55\x48\x89\xe5\x89\x7d\xfc\x89\x75\xf8\x8b\x55\xfc\x8b\x45' \
b'\xf8\x01\xd0\x5d\xc3'
copy = create_string_buffer(code)
address = addressof(copy)
aligned = address & ~0xfff
size = 0x2000
prototype = CFUNCTYPE(c_int, c_int, c_int)
add = prototype(address)
pythonapi.mprotect(c_void_p(aligned), size, 7)
print(add(20, 30))
QUESTION
I'm trying to read a CSV file, block by block.
CSV looks like:
...ANSWER
Answered 2021-Dec-24 at 13:27Load your file with pd.read_csv and create block at each time the row of your first column is No.. Use groupby to iterate over each block and create a new dataframe.
QUESTION
I have a type:
...ANSWER
Answered 2021-Dec-16 at 04:43There doesn't seem to be any documentation on this at all, but I managed to hack together something that works. The trick I found is to use a very simple converter that always uses the same type name, like this:
QUESTION
I'm attempting to create a function to load Sagemaker models within a jupyter notebook using shell commands. The problem arises when I try to store the function in a utilities.py file and source it for multiple notebooks.
Here are the contents of the utilities.py file that I am sourcing in a jupyter lab notebook.
ANSWER
Answered 2021-Nov-22 at 17:24A ! magic can be included in a function, but can't be performed via exec.
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