iodine | Official git repo for iodine dns tunnel | DNS library

Set.of() doesn't have a defined iteration order and it is subjected to change.

The iteration order of set elements is unspecified and is subject to change.

Collectors.toSet() doesn't define which Set implementation is used.

public static Collector> toSet()

Returns a Collector that accumulates the input elements into a new Set. There are no guarantees on the type, mutability, serializability, or thread-safety of the Set returned; if more control over the returned Set is required, use toCollection(Supplier).

Currently the supplier is hardcoded to HashSet::new. But it can change in the future. So if you need something predictable, better to pass a concrete Set implementation as supplier. Because it is returning HashSet currently and you are passing elements in same order while creating, iteration is returning the data in a particular order every time based on bucket locations. That's why the result is consistent.

Without access to your df it is hard to help you. See how to provide a great pandas example as well as minimal, complete, and verifiable example.

But a few things look suspicious in your code, specifically this: df.loc[row[cols[0]], cols[i]]. .loc function takes df index as the first argument so I would have thought this should be df.loc[idx, cols[i]] in a couple of places. so I am a bit surprised it actually does not complain there.

also you can do your replacements on columns in one go, along the lines of

I think the type of your "values" should be Map, or at least var.

However, I suggest you build a model for your json response. There are many post written about this. This post is what I usually follow when making a model.

I used an input of just the first set of columns. You can:

1. Loop through columns and create a series s that transforms the unit into what you want to multiply by mapping to a dictionary d
2. Extract the digits and multiply by s for each column

The payment is pending because the receiver account doesn't hold a balance in that currency, and by default PayPal accounts are set up so that new currency payments must be manually accepted, denied, or converted to your primary currency balance.

Once you accept the payment and thus open a balance in that currency, future payments in this currency won't be pending.

Use await before calling savePetData(), so that it waits until the function execution is finished.

You can copy paste run full code below
You can covert to model first, you can see full code for detail
code snippet

The solution is to turn off the alert on Heroku logentries. The /cable request is not polling the server for updates, it's establishing a single request and then keeping it open until the user signs out or leaves the site.

??burn tells you what the variables mean; Z1 and Z4 seem to be what you are after:

This data frame contains the following columns:

Obs Observation number

Z1 Treatment: 0-routine bathing 1-Body cleansing

Z2 Gender (0=male 1=female)

Z3 Race: 0=nonwhite 1=white

Z4 Percentage of total surface area burned

Z5 Burn site indicator: head 1=yes, 0=no

Z6 Burn site indicator: buttock 1=yes, 0=no

Z7 Burn site indicator: trunk 1=yes, 0=no

Z8 Burn site indicator: upper leg 1=yes, 0=no

Z9 Burn site indicator: lower leg 1=yes, 0=no

Z10 Burn site indicator: respiratory tract 1=yes, 0=no

Z11 Type of burn: 1=chemical, 2=scald, 3=electric, 4=flame

T1 Time to excision or on study time

D1 Excision indicator: 1=yes 0=no

T2 Time to prophylactic antibiotic treatment or on study time

D2 Prophylactic antibiotic treatment: 1=yes 0=no

T3 Time to straphylocous aureaus infection or on study time

D3 Straphylocous aureaus infection: 1=yes 0=no

Source Klein and Moeschberger (1997) Survival Analysis Techniques for Censored and truncated data, Springer. Ichida et al. Stat. Med. 12 (1993): 301-310.

Edit: In your case, there is a significant difference between routine bathing and body cleansing (Z1), but Percentage of total surface area burned (Z4) is not significant in a univariate analysis.