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    Upvotes249Top Answeredited Apr 26, 2020 at 12:10

    Python uses a random hash seed to prevent attackers from tar-pitting your application by sending you keys designed to collide. See the original vulnerability disclosure. By offsetting the hash with a random seed (set once at startup) attackers can no longer predict what keys will collide.

    You can set a fixed seed or disable the feature by setting the PYTHONHASHSEED environment variable; the default is random but you can set it to a fixed positive integer value, with 0 disabling the feature altogether.

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    What is hash in Python?Python hash () Function Argument object An object for which the hash value shoul ... Return Value int Returns the calculated hash value.
    Will a hash be consistent across different runs of Python?There is no guarantee that it be consistent across different runs of Python, and in fact, for the built-in str, bytes -like types, and datetime.datetime objects (possibly others), the hash is salted with a per-run value so that it's almost never the same for the same input in different runs of Python.
    Does a hash return the same result across different versions of Python?Python has never made guarantees about this ordering (and it typically varies between 32-bit and 64-bit builds). As a result, from 3.3 onwards hash () is not even guaranteed to return the same result across different invocations of the same Python version. that would be my answer then! thanks, I will find another way.
    Does hashing work with all key types in Python?In practice, hashing won’t work with every key, but most built-in types in Python can be hashed. If you follow a few rules, then you’ll be able to create your own hashable types too. You’ll learn more about hashing in the next section.
  4. WebMay 31, 2020 · As you can see, the value is changed for the string! This is a good thing because it prevents the same object from being potentially accessed by someone! The hash value remains constant only until the …

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