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Showing posts with the label Deep Copy
Understanding Deep Vs Shallow Copy In Python 2.x

Understanding Deep Vs Shallow Copy In Python 2.x

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I was looking online and I came across these 3 segments of code. The question is to predict the out… Read more Understanding Deep Vs Shallow Copy In Python 2.x
Preventing Reference Re-use During Deepcopy

Preventing Reference Re-use During Deepcopy

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Consider the following example: from copy import deepcopy item = [0] orig = [item, item] copy = de… Read more Preventing Reference Re-use During Deepcopy
Relationship Between Pickle And Deepcopy

Relationship Between Pickle And Deepcopy

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What exactly is the relationship between pickle and copy.deepcopy? What mechanisms do they share, … Read more Relationship Between Pickle And Deepcopy
How To Exclude Specific References From Deepcopy?

How To Exclude Specific References From Deepcopy?

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I have object which has it's own content (i.e. list of something) and a reference to another ob… Read more How To Exclude Specific References From Deepcopy?
Python Lists Copying Is It Deep Copy Or Shallow Copy And How Is It Done?

Python Lists Copying Is It Deep Copy Or Shallow Copy And How Is It Done?

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How is Deep copy being done in python for lists? I am a little confused for copying of lists. Is … Read more Python Lists Copying Is It Deep Copy Or Shallow Copy And How Is It Done?
What Is The Easiest Way To Copy A Class Instance That Contains Simpy Processes?

What Is The Easiest Way To Copy A Class Instance That Contains Simpy Processes?

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I'm trying to create a copy of a class instance that I can simulate without affecting the origi… Read more What Is The Easiest Way To Copy A Class Instance That Contains Simpy Processes?