bindr | A small JavaScript dependency injection framework | Dependency Injection library

I'm trying to build Result Builder that accumulates Errors (in my case they are named Failures as I'm following some code from https://fsharpforfunandprofit.com/). It's current implementation returns first encountered Failure when ideally I'd prefer it to either return Success with desired value or a Failure with a list of all missing/corrupted values. Unfortunately current implementation it's a bit verbose.

Boilerplate code

I am facing an issue with the accept() function in the below code. It keeps giving me 10038 error. I read about the error 10038 (WSAENOTSOCK). But I can't find the exact issue here. Similar Linux code works fine as the server code.

PS: I am running this in Visual Studio on Windows.

I am currently trying to knit an R markdown document to html (or pdf) where in a certain chunk I generate multiple plots. I specify the captions through the fig.cap argument in the chunk options with a vector of the same length as the number of plots. However, for this to work the chunk option message has to be TRUE. The issue starts when a ggplot2 object is generated by a function in the chunk and I want to apply a new fill with viridis::scale_fill_viridis. Which is fine, but inevitably throws a message/warning that there is already a fill applied to the ggplot2 object and that the viridis will replace it (Scale for 'fill' is already present. Adding another scale for 'fill', which will replace the existing scale). I do not want to get this into the output of my markdown html. Using suppressMessages apparently also suppresses the html (and pdf!) captions. So my question is: is there a way to "unset" the existing scales attribute to avoid this message being generated? Short from that my only other option would be to dive into the code that generated the object in the first place. Or: is there a way that knitr preserves captions when the chunk option messages=F?

A minimal working example would be the following code in an R markdown document:

I am new to nodejs and working on a proof of concept just for fun.

Background: I have a cloud directory of user information (like username, password and other info). This cloud directory can be used to authenticate a user only via restful API (i.e. no direct connectivity using LDAP or JDBC etc.).

Aim: To build an LDAP interface for this cloud directory. To start with I am interested only in authentication (LDAP bind).

Intended Flow:

1. LDAPClient initiates a standard LDAP simple BIND request: Host: host where my nodejs app will run Port: 1389 (port that my nodejs app will be bound to) Username: a user from cloud directory Password: user's password

2. This request is received by my NodeJS app (I am using ldapjs module).

   ...

I came across this by accident, and I have no idea what's going on. Can anyone explain this?

Below you will find my attempt to implement the Result type including the functions Bind and Pure(aka return). All seems well until I put the parts together.

1. First the IDE detect type issues at (*) even though the execution results in the expected value and type.
2. Second when executing the code (**) the value is as expected even tough the type is not what I expect.
   • Resulting type is : Result[&S,&E] : Ok(Banana("banana"))
   • I expected the type: Result[Banana, Undefined]: Ok(Banana("banana"))

On the other hand when I use the second bind implementation (bindR2) the test (***) fails with an exception in the call: partial(bindR2, functionA)(PureR(Apple("Apple"))). Here the error is:

I feel as though I lack the intuition to always know how sf objects will interact with tidyverse tools, especially dplyr. Here is an example. We're looking to take two buffers of points, and then subtract the smaller buffer, to leave a ring/annulus around each point. I provide two methods of doing it.

The first breaks off the geometry column, uses map2 to get the annuli, and then bolts it back onto the original sf dataframe. This approach makes sense; I know how all the pieces work, but does not feel "tidy" or neat because we create intermediary objects, we have to manually replace the crs, and it feels as though it would be easy to mismatch geometries to attributes.

The second approach is what I came up with trying to keep it within a single pipe. Here I'm hoping that group_by and mutate can It does work, sort of, managing at least to run without error and seems to create the right annuli, but something causes the plot method to zoom in far. I also don't know if there are any other differences in what the two approaches actually do.

EDIT: It's not just plot zoom that is different, the result of st_bbox is also different for some reason. However, the rings still seem to be centered on the points, and they look the same in mapview::mapview(). Also included session info, I'm updated to R 3.4.4, sf 0.6-1, tidyverse 1.2.1. I'll update everything else though and see what happens.

I have a problem to get partial dependence plots with mlr to work properly for me. Somehow not the probability is plottet, but just the class label. I suspect, that the target may be lost during the creation of der partialdependence-data.

Any ideas?

I am working on a spatial problem using the sf package in conjunction with dplyr and purrr.

I would prefer to perform spatial operations inside a mutate call, like so: