## Which 3rd party D&D nested random encounter resource includes combat/social/treasure/mystery encounters for each type of environment?

I had once found a nested random encounter resource, as in there was a master table to determine the whether the party discovered interesting terrain, combat, mysteries, etc and one could then find associated tables for those encounter types for various environments: arctic, trade road, forest, grassland, underwater…

This book was very similar to Necromancer Games 2003 Mother of All Encounter Tables except as I had stated previously unlike MOAET the book I am looking for includes many different types of possible discoveries to come across whereas MOAET simply lists possible monsters one might find and fight in a particular biome.

I do not remember many of the encounters from this book but one that had stuck out in my mind is one from the arctic table where the party comes across a metallic device generating heat in the snow, as if to imply alien or future technology.

Does anyone know the name of this resource or where to find it?

## Random Hyperlinks Not Working in Nested Columns with Lists

I am new here and have beginner level experience with WordPress so please bear with me if I am leaving out any pertinent information.

Towards the lower portion of this https://www.logicmanager.com/ca-solutions-menu/ landing page, I have a series of containers with columns and nested columns. Within these nested columns I have included hyperlinked text to list items. Ideally, all of the hyperlinked list items would click out to their respective landing pages.

However, for some reason unbeknownst to me, most of the hyperlinks are not working properly and the text items are un-clickable.

Does anyone know why this might be and how I can fix it? Are there any additional details I can provide to help resolve this issue? Is this forum even meant for questions like this?? Many thanks in advance!

## SQL Server Nested views, how deep is too much?

I stumbled on a problem using views. The content management system my program interfaces with, defines a view which calls another view on the system. That is 2 levels to begin with. Before I stumble on views, I thought nested views were casual, but after my code blew up and i googled around, i begin to pick up words like "sin" and "vulgar" and "bad" which are associated with nested views.

Well I have two-level nested views to begin with. In my application level, I define my 3rd level and that’s when it gives me time out error. Is 3 level too much? The tables are not terribly big — between 5,000 and 100,000 records, while my view itself only produces 2,000 record. Is this suppose to break the camel’s back?

## Nested Categories [closed]

I have to import a big list of categories with many children. Is there are plugin for WordPress which provides nesting or treeview in the wp admin for multilevel categories?

## Nested NIntegrate with FindRoot

I am trying to numerically integrate a function using nested NIntegrate:

$$F(N,x,s)=\int_{-\infty}^s \int_{-\infty}^{+\infty} K(N,z’,x,x’) g_{x’,s’} dx’ds’$$

where the kernel of the integration, $$K(N,z’x,x’)$$, is a messy expression defined in the mathematica code below, and $$g_{x’,s’}$$ is a bi-variate gaussian defined by:

$$g_{x,s’}=\frac{n}{2\pi\sigma_{x’}\sigma_{s’}}\exp\left({ -\frac{x’^2}{2\sigma_{x’}^2} }\right)\exp\left({ -\frac{s’^2}{2\sigma_{s’}^2} }\right).$$

The tricky part(s) is that:

1. $$z’$$ in the $$K(N,z’,x,x’)$$ needs to be solved for numerically using FindRoot and will have a $$s’$$ dependence.
2. The integration upper limit over $$ds’$$ is a variable $$s$$.
3. I suspect the kernel is oscillatory with $$N$$ (denoted "Kernel" in the code below) so maybe an averaging of the kernel over $$N$$ can be done to simplify the kernel and eliminate $$N$$ if the integrations prove to be too time consuming.

At the end, I would like a function, F(N,x,s), that would be able to plot across $$s$$ for a given $$(N,x)$$ values i.e. Plot[F[a,b,s,{s,-1e-5,1e-5}].

(*Constants*) e = -1.60217733*10^-19; m = 9.109389699999999*10^-31; epsilon = 8.854187817620391*10^-12; re = 2.81794092*10^-15; c = 2.99792458*10^8; n = -10^-10/e; KK = 1; lw = 0.026; kw = (2 Pi)/lw; gamma = 4000/0.511; beta = Sqrt[1 - 1/gamma^2]; sigmaS = 10^-5; sigmaX = 30*10^-6; coeff = n/(2 Pi*sigmaS*sigmaX) Exp[-(xprime^2/(2 sigmaX^2))]* Exp[-(sprime^2/(2 sigmaS^2))];  (*Preliminary Equations*) rs2 = {zprime, xprime + KK/(gamma*kw) Sin[kw*zprime], 0}; ro2 = {(NN + 10000)*lw, x + KK/(gamma*kw) Sin[kw*(NN + 10000)*lw], 0};  betas = {beta - KK^2/(2 gamma^2) Cos[kw*zprime]^2,KK/gamma Sin[kw*zprime], 0}; betao = {beta - KK^2/(2 gamma^2) Cos[kw*(NN + 10000)*lw]^2,KK/gamma Sin[kw*(NN + 10000)*lw], 0};  betaDot = {(c*KK^2*kw)/(2 gamma^2)Sin[2 kw*zprime], -((KK*c*kw)/gamma) Sin[kw*zprime], 0};  deltar2 = ro2 - rs2; Rgam2 = Sqrt[deltar2[[1]]^2 + deltar2[[2]]^2];  Ec2 = (e/(4 Pi*epsilon)) (deltar2/Rgam2 - betas)/(gamma^2 Rgam2^2 (1 - (deltar2/Rgam2).betas)^3); Erad2 = (e/(4 Pi*epsilon)) Cross[deltar2/Rgam2,Cross[deltar2/Rgam2 - betas, betaDot]]/(c*Rgam2*(1 - (deltar2/Rgam2).betas)^3);  sumElong = (Ec2[[1]] + Erad2[[1]]); sumEtran = (Ec2[[2]] + Erad2[[2]]);  (*Numerical Functions*)  ZPRIME[NN_?NumericQ, x_?NumericQ, xprime_?NumericQ, s_?NumericQ, sprime_?NumericQ] := zprime /.FindRoot[s - sprime == (Sqrt[gamma^2 + KK^2] (EllipticE[kw*(NN + 10000)*lw,KK^2/(gamma^2 + KK^2)] - EllipticE[kw zprime, KK^2/(gamma^2 + KK^2)]))/(gamma kw) -beta Sqrt[((NN + 10000)*lw - zprime)^2 + (x - xprime + (KK Sin[kw *(NN + 10000)*lw])/(gamma kw) - (KK Sin[kw zprime])/(gamma kw))^2], {zprime, 0}]   Kernel = coeff re/gamma (sumElong*betao[[1]] + sumEtran*betao[[2]])/.{zprime -> ZPRIME[NN, x, xprime, s, sprime]};  FNxprimesprime[NN_?NumericQ, x_?NumericQ, xprime_?NumericQ, s_?NumericQ, sprime_?NumericQ]:= Kernel  FNsprime[NN_?NumericQ, x_?NumericQ, s_?NumericQ, sprime_?NumericQ] :=NIntegrate[FNxprimesprime[NN, x, xprime, s, sprime], {xprime, -300/10^6, 300/10^6}]  FN[NN_?NumericQ,x_?NumericQ, s_?NumericQ] := NIntegrate[FNsprime[NN,x, s, sprime], {sprime,-10^-4, s}]  lst1 = Table[{ss, FN[0,0, ss], PrecisionGoal -> 5] // Quiet}, {ss, -10^-5, 10^-5, 10^-6}] ListPlot[lst1] 

## Big-O of iterating through nested structure

While trying to understand complexity I run into an example of going through records organized in following way:

data = [   {"name": "category1", "files": [{"name": "file1"}, {"name": "file2"}],   {"name": "category2", "files": [{"name": "file3"}] ] 

The task requires to go through all file records which is straight forward:

for category in data:   for file in category["files"]:     pass 

It seems like complexity of this algorithm is O(n * m), where n is length of data and m is max length of files array in any of data records. But is O(n * m) only correct answer?

Because even there are two for-loops it still looks like iterating over a global array of file records organized in nested way. Is it legit to compare with iteration over different structure like that:

data = [   ('category1', 'file1'),   ('category1', 'file2'),   ('category2', 'file3'), ] for category, file in data:   pass 

…where complexity is obviously O(n), and n is a total number of records?

## Nested loops join algorithm – additional available page buffers

The basic version of nested llops join algorithm only uses two main memory page buffers for loading the pages.

But if additional page buffers are available the I/O cost can be reduced.

Should I chose to use the additional available page buffers to hold more pages of the relation considered by the outer loop or the inner loop?

And why?

I apologies if this is the wrong place to post this question Thanks in advance,

## Why are nested anonymous pure functions shielded from evaluation?

I tried the following code (ignoring the warning messages):

{#, # &, Function[{x}, #], Function[{#}, x], Function[{#}, #]} &@7 (*result: {7, #1 &, Function[{x}, 7], Function[{7}, x], Function[{7}, 7]}*) 

I wonder why #& was not changed into 7&. I saw a "possible issue" similar to this mentioned in ref/Slot, but I couldn’t find further documentation about it. Is it a bug or it is specially designed this way?

## How to do WP_User_Query for Nested Array value Inside Nested Array field

i am still new in wordpress development and try to playing with WP_User_Query right now.

I have meta field, with this value:

array (   0 =>    array (     'address' =>      array (       'street_1' => 'Street 1 String',       'street_2' => '',       'city' => 'SEARCH',       'zip' => '',       'state' => '',       'country' => '',     ),   ), ) 

What i am trying to do, i want to search / query user filtered by city using SEARCH keyword. How to achieve that using WP_User_Query?

Thanks

## Sort a nested Association by another Association

I have a nested association of numerous pixel values sorted by sample date (e.g. 20190422C) and futher by a strain percentage (e.g. 0, 30, 50).

I want to sort it even further using and Association of Rules assigning each sample date to a planar thickness.

I tried to AssociationThread and AssociationMap the two Associations together but to no avail. Help?