Filtering numpy arrays

I have two numpy arrays (plot_x and plot_y) of the same length where plot_y is calculated based off on the values of plot_x. I want to filter the first array plot_x such that 0.1<=plot_x<=10 and filter the second array plot_y such that it contains the values that corresponds to the values in plot_x so that I can plot them in a graph. How do I do that? Thank you in advance.

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turing machines – Unrecognizability of $L(M_1) cap L(M_2) = emptyset$

Let $T$ be a Turing machine, and construct a Turing machine $T’$ that simulates $T$ on the empty input word and, when (if) the simulation ends, it accepts (regardless of the input to $T’$). Notice that $T’$ can be computed from $T$.

Pick $M_2$ as a Turing machine that immediately halts and accepts.

Then ${T’, M_2} in C$ iff $L(T’) neq emptyset$, which happens iff $T$ halts on the empty input word. Therefore if $C$ were recognizable so would be the halting problem. This shows that $C$ is unrecognizable.

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microsoft flow – Uploading a new document of an existing document in sharepoint is it meant to keep the properties?

I have a question from users in the business, when they upload a new document (an updated version of existing in SharePoint) they notice that the columns that had been previously been filled are still filled with all the old documents data. For example Column name = approvedby, so here it will have a user’s name who has approved it because it is a new document they expected that when they upload a new document it is meant to be blank columns. The document library has a flow, where it writes in the columns who approved it. So my question is, is the behaviour normal in SharePoint? Or is the flow adding the data to the newer documents?

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