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Tag: pickle

Dill doesn’t seem to respect metaclass

I have recently begun working with dill. I have a metaclass, which I use to create a Singleton pattern. Always have one object at any instant. I am using dill to serialise.The problem is once the object is loaded back, it doesn’t respect the Singleton pattern (enforced by metaclass) and __init__ gets called. Here is the code which can reproduce

TensorFlow TextVectorization producing Ragged Tensor with no padding after loading it from pickle

I have a TensorFlow TextVectorization layer named “eng_vectorization”: and I saved it in a pickle file, using this code: Then I load that pickle file properly as new_eng_vectorization: Now I am expecting, both previous vectorization eng_vectorization and newly loaded vectorization new_eng_vectorization to work the same, but they are not. The output of original vectorization, eng_vectorization([‘Hello people’]) is a Tensor: And

Pickle data not loading

Here I the data I try to save as a “pickle file” import pandas as pd import pickle as pkl df_1 = pd.DataFrame({‘TIME’: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ‘speed’: [2, 3, 7, 6, 13, 24, 31, 64, …

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