encompass | Bayes Impact 's Encompass Tool | Map library

You should indeed use recursion for this, but your attempt is not adding any parentheses, and outputs line breaks.

For the base case -- when a node is None -- the string should be "()". When the node is not None, it is a matter of combining the recursive results of the two children with the node's own value.

Here is a function for that:

You have to iterate over the given array and track minimum and maximum indices (of both outer array and inner arrays) of the element with a value of 1.

In Java in need to initialize a local variable before you can access it. Therefore, all max variables are initiated with a value of -1 and max variables with a corresponding array length (invalid indices).

You can use pd.date_range to expand dates between DATE_IN and DATE_OUT columns then explode it. Finally, use count unique values for each month.

Every reference in Rust must have an associated lifetime. The reason you usually don't have to write them out is because the compiler is very good at lifetime elision. Whenever this doesn't work, you need to carefully consider where the lifetime you need is actually coming form. In this case, the constraint you're trying to impose can be though of as "for any lifetime 'a that you give me, VectorLike implements From<&'a [T]>". This is a higher-ranked trait bound that can be expressed using for<'a> syntax:

Summary of comments above:

The MySQL client time includes the time it takes to transfer query results over the network, but the query profile time does not include network transfer time. Since the client that reports fast time is on an instance in AWS, and is therefore close to the RDS database, that is expected to have a better time.

The other client is on the OP's Mac, so data must transfer over the WAN. Depending on the length of the 1537 rows in the result set, it could easily account for the time difference.

Running some tests using ping to check network latency from each client to the RDS server should reveal some of the difference. Here's an example on my laptop, pinging the Google DNS server:

From the documentation here: https://docs.microsoft.com/en-us/stream-analytics-query/windowing-azure-stream-analytics#understanding-windows

Every window operation outputs event at the end of the window. The windows of Azure Stream Analytics are opened at the window start time and closed at the window end time. For example, if you have a 5 minute window from 12:00 AM to 12:05 AM all events with timestamp greater than 12:00 AM and up to timestamp 12:05 AM inclusive will be included within this window. The output of the window will be a single event based on the aggregate function used with a timestamp equal to the window end time. The timestamp of the output event of the window can be projected in the SELECT statement using the System.Timestamp() property using an alias. Every window automatically aligns itself to the zeroth hour. For example, a 5 minute tumbling window will align itself to (12:00-12:05] , (12:05-12:10], ..., and so on.

If you have historical data that you want to output, you can set a custom query start time either as any point up to the max cache of your streaming source (ususally 7 days) or as at the point the query was last stopped, so you don't lose any data during maintenance windows.

The query, however, will only output data with a timestamp that is after the query start time.

Therefore, imagine that your first data has a timestamp of 2022-02-20 01:23:00 and your second a timestamp of 2022-02-21 15:08:00. You start your streaming job as at 2022-02-21 14:00:00, so your 10 minute windows base themselves on the midnight of the 21st and then progress in 10 minute windows from there. The query does not output anything until the 15:00 - 15:10 window of the 21st, as this is the first window that is both post your query start time and contains data. In this scenario you can see how the windows work and why your data with the 2022-02-20 01:23:00 timestamp would not be output.

You can change [^\s] to \S and change [^\S] to \s and assert them instead using lookarounds.

If you match 1 or more spaces, and assert a single space to the right, you will keep 1 space when replacing with an empty string.

From what I understand, what you call "complete subsequences" are the sequences of distinct successive states.

The distinct successive states are obtained from the state sequences with seqdss, and the frequencies of the sequences with seqtab. So, we get frequencies of what you call "complete subsequences" with:

From For that I need event id, not icalUID., when you want to retrieve the event ID, how about the following modification?