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so I'm struggling with these things:

I have method that returns istream input and takes istream input as a parameter, sends values to vector and stores them in it. Now, when I've entered 1 value, I'm trying to make a check if vector already contains that value, here is my code to understand it better:

I have a KeyValue pair in azure appConfiguration

and when I run the following command, it does not work. however another version of it is working

Meson/Ninja provide an easy method to run a script at install time.
For example, this line will tell Meson to run the glib-compile-schemas command to compile the GSettings on Linux (system configuration options).

meson.add_install_script('glib-compile-schemas', schemas_dir)
(this command will be automatically run when the user executes ninja install)

How can I tell Meson to run a custom command at uninstall?
In this specific case I would like to delete (or at least reset to default) the key-value pairs in GSettings. To reset them, I have found that the command is gsettings reset-recursively (successfully tested in terminal).

I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results. The way I'm trying to merge the results is something like this:

I'm running boto with python3 and I'm running an ansible playbook to setup some ec2 instances. Everything is fine, creating instances, security groups, key pairs, everything in eu-west-2. When the task for Elastic IPs runs it fails with this message: Region eu-west-2 does not seem to be available for aws module boto.ec2. If the region definitely exists, you may need to upgrade boto or extend with endpoints_path

I'm running ansible with -e ansible_python_interpreter="/usr/bin/python3". I have latest boto installed.

I run a loop and append data into a list. I failed to convert the list to a data frame in the loop and only able to fix that in a later step and turn every 3 columns into a new row. I was wondering if I can transform a list into a data frame during the loop session.

I have a requirement which is as follows:

Variable Group A, has 7 set of key=value pairs Variable Group B, has 7 set of key=value pairs.

In both cases keys are the same, values are only different.

I am asking from the user, the value of be injected in variable group B, user provides me the variable group A name.

Code snippet to perform such update is as below:

I have this kind of input as below. It is a list of strings, every odd string is a number starting with MR and every even string is some mixed text. I need to convert this list of strings to a pandas data-frame which strictly has two columns, but because some of the MR numbers are present several times paired with different mixed text counter parts I am getting extra columns everywhere where an MR is repeated, as I am demonstrating below:

I have a pair of iterator, and I would like to use ranges::views::filter(some_predicate) on it (with the pipe operator). AFAIU I should first convert my pair of iterator into a view. I tried to use ranges::subrange(first, last) to do so, but I’m getting horrible error messages.

Note1: I’m using C++14 and range-v3 version 0.9.1 (the last version compatible with gcc-5.5). If the solution differs when using C++17/20 and/or when using C++20 std::ranges, I’m also interested to know what changed.

Note2: I find the documentation of range-v3 severely lacking, so I’m using cppreference.com. If you know a better documentation, I’m very interested.

EDIT:

In my real code, I’m wrapping a java-style legacy iterator (that has a next() method instead of operator++/operator*. I’m wrapping them in a C++-compatible wrapper. Then I tried to convert that wrapper into a view, and finally filter it. I reproduce a minimal example on godbolt. This use iterator_range as suggested, but it still doesn’t compile (see the second edit below).