Hypothesis testing problem of Normal distributions.

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Consider the following Hypothesis Testing problem:

Hypothesis $H_0$ : $X \sim N(\mu_0, \sigma_0)$. Mean $\mu_0$ is known but only upper and lower bounds on $\sigma_0$ are known.

Hypothesis $H_1$ : $X \sim N(\mu_1, \sigma_1)$. Mean $\mu_1$ is known but only upper and lower bounds on $\sigma_1$ are known.

How could one solve this problem? Do uniformly most powerful tests exist for this problem?