ic3 | IC3 : Inter-Component Communication Analysis in Android

I have a Workbook with two Worksheets. On one worksheet, I have a column of comma separated values as text (electronic component references). E.g. C1 = "R1, R2, R3, ..., R125" ; C2 = "C1, C2, C3, ..." ; C3 = "TR1, TR2, TR3, ..." ; C4 = "IC1, IC2, IC3 ..."

I have created the code below to search column C on Sheet2 for a specific value (E.g. "R1"), and when it finds that value, get the part number from another column in same row. E.g. if it finds R1 in cell C12, it will return the part number from cell D12.

The code I've written below is working perfectly when column C contains only a unique list of comma separated values, but I'm having problems when there are duplicates. E.g. for the example above if R1 is in cell C1, and TR1 is in cell C3, then when I try to find R1 sometimes it only finds it in Cell C3, so returns the incorrect part number for TR1 instead of R1. I have the same problem with Cxx and ICxx references.

Somehow I need to modify the code so that if I am searching for only R1 and it is found in a particular cell, then I need to check if the R1 sub-string has a "T" immediately in front of it ("TR1"), and if so, keep searching.

I may also need to check if the found R1 has a comma immediately after it (i.e. "R1,"), so that I also don't get problems with e.g. R1 in one cell, and R11 in another cell with a different part number.

I don't really have a clue how to modify my code to go about this? Do I need to convert each cell where positive match is found into a string, and then do some kind of sub-string - within - string search?

My groupmate and I are doing a school assignment and we are having some trouble trying to save a value. I am 100% aware that some of the things done in the code is not the normal way of doing, and that there are better ways, but part of the assignment is to use the concepts taught in class.

Problem:

I have a Train class which I would like to assign to a platform, such that I know if there is a train on the platform.

I have a list of 10 archaeological sites and a list of finds found fieldwalking, both with easting and northing coordinate data. For each of my sites, I want to select finds that were found within a 20km radius of them. I have looked for solutions to identify points within a specified distance, but they all seem to assume that you're using a single data frame- is there a way to do this? My thinking was if not, I should join the data frames and then subset this at the end to only show the artefacts?

The site data is formatted as:

Searching for the pattern /{{c\d, I'd like to get the highest digit found and use it in a macro.

For context, I'm using Anki (flashcard tool) and its cloze card type, and recently started creating my cards within vim.

Example card:

I'm trying to implement a responsive page. I've managed to get the following result, but I wish all the boxes (logo|links|ic|breadcrumb) to be full height/width of their parents. These boxes should also fill fully the available space.

• with min-height : https://jsfiddle.net/sxr3eq84/142/
• with align-items: stretch on parents : https://jsfiddle.net/ycsmo8fx/15/

• forced from header to take the full space using min-height property but it breaks Flexbox align-items: center; property.

• all my Flexbox children look like the top left blue box without breaking align-items: center; property.

• all

  from header both centered vertically and horizontally while taking the whole available free space.

• breadcrumb items both centered vertically and horizontally while taking the whole available free space.

So it is showing me that the first insert is failing IC4, but it should be good to go as far as IC2 is concerned. IC2 states that 'DB guru' should be above 200--which the first entry is!

For example you'll see that the first entry on the insert list below is:

I'm attempting to look at networks of individuals and site visits over a time series. Essentially, the end result I'd like to achieve is similar to the "beaches" dataset found in package "dnr". I have a larger dataset dput for a subset of which is shown at the bottom.

Basically I would like to split() this table by both Species and Week and then create an incidence matrix with rows of distinct values from TagID and columns based on distinct values in SiteVisits. Then i use package igraph and graph_from_incidence_matrix to create a unique network for each species for each week.

I started with an attempt to split the main table by species and then create new tables for each species for each week: