ilo | ICML 2021 ] Official implementation | Machine Learning library

I am working on a program that pushes API requests using command parameters from Python. My variables are held as follows:

I am struggling to understand how to use nested variables in Jinja2/Ansible

I have the following Variables in a yaml file

In understanding that Binary Search only works if the List you are searching is sorted, the assumption is that you maintain a sorted list if you are going to Search many times in an application. Searching linearly, 0(n), will always be faster than sorting and then searching, 0(nlog(n)) + log(n).

However, in my research I found that, for small datasets, a linear search, 0(n) is faster than a logarithmic search 0(log(n)). It's recommended in a book I am reading that when searching a dataset with less than 20 items a linear search performs better than a binary search due to overhead in the binary implementation. (Programming and Problem Solving with C++ 6th Edition)

A noticeable optimization to Merge Sort and Quick Sort implements a cutoff value which switches to Insertion sort when the list size becomes small enough... 15 or so items.

Could something similar be done to Binary Search... Is there a noticeable difference in performance if you were to implement a cutoff to a linear search when the size of the list becomes small enough... 20 or so items...

Binary Search Implementation:

In an unsorted large CSV file, How could i sort the Resource Name column so i can get all the same name results aligned sequentially lined up One after another like grep in my example below.

In the Resource Name column we need select the data before comma , in order to get it required result.

My trial code:

In this programming problem, the input is an n×m integer matrix. Typically, n≈ 10⁵ and m ≈ 10. The official solution (1606D, Tutorial) is quite imperative: it involves some matrix manipulation, precomputation and aggregation. For fun, I took it as an STUArray implementation exercise.

I have managed to implement it using STUArray, but still the program takes way more memory than permitted (256MB). Even when run locally, the maximum resident set size is >400 MB. On profiling, reading from stdin seems to be dominating the memory footprint:

Functions readv and readv.readInt, responsible for parsing integers and saving them into a 2D list, are taking around 50-70 MB, as opposed to around 16 MB = (10⁶ integers) × (8 bytes per integer + 8 bytes per link).

Is there a hope I can get the total memory below 256 MB? I'm already using Text package for input. Maybe I should avoid lists altogether and directly read integers from stdin to the array. How can we do that? Or, is the issue elsewhere?

I have below Invoke-command code, the script using hponcfg.exe file on remote server to get ILO configuration. few servers having issue with power capping and error returned by hponcfg.exe as "Message = 0x0089 Power capping information is not available at this time, try again later."

My question is: I want to capture this error if generated by hponcfg inside invoke-command scriptblock and use it out of scriptblock.

I have a string as "Device: ILO 5 Firmware Version : 2:33 Firmware date : 10-10-2020" I want to split this string as below in an array

I am working on a CSV data Sheet and want to parse and filter the data out it, While working on a code I found a similar code someone has asked on SO POST there and the author having almost the same H/W data as I see that related to HPE H/W where I have some data and columns are different.

I am trying to match my list of server with the pandas dataframe in the column Server Name if the name in the list matches in the Server Name then print the entire row.

there are chances names is the my_List do not match entirely like one of the server name in my_List is tick1001.example.us.com while in Server Name.

This this my kind of list