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Given the following text problem statement, write Python code to implement the functionality described below in problem statement
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Problem:
I'm using tensorflow 2.10.0.
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Python Code:
import tensorflow as tf
seed_x = 10
### return the tensor as variable 'result'
def g(seed_x):
    tf.random.set_seed(seed_x)
    return tf.random.uniform(shape=(10,), minval=1, maxval=5, dtype=tf.int32)
result = g(seed_x)
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