The hash() function in Python is designed to be a fast and deterministic hash function. Its output is based on the input it receives, and it's not meant to be easily predictable or influenced by external factors. The hash() function doesn't have a direct way to obtain the seed it uses, and its behavior is typically consistent across different Python runs.
If you need reproducibility or want to control the randomness in hashing, consider using the hashlib module for cryptographic hashes. Cryptographic hashes are deterministic and more suitable for scenarios where you need a fixed hash value based on the content.
Here's an example using hashlib to generate a hash value for a string:
import hashlib def get_hash(input_string): sha256_hash = hashlib.sha256(input_string.encode()).hexdigest() return sha256_hash # Example input_string = "your_data_here" hash_value = get_hash(input_string) print(f"Hash value: {hash_value}") |
If your goal is to use a reproducible seed for randomness in a broader context (outside of hashing), you might want to use the random module with the random.seed() function. The seed determines the initial state of the random number generator.
import random # Set a seed for reproducibility seed_value = 42 random.seed(seed_value) # Now, calls to random functions will produce the same results random_number = random.random() print(f"Random number: {random_number}") |
Keep in mind that using the random module for cryptographic purposes is generally discouraged. If your application requires cryptographic-level randomness, it's better to use the secrets module.
Credit:> StackOverflow
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