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Since yesterday I have had the problem that I can no longer mount my Google account. Normally, when I run it, I get a link to authorize myself with. Now, when the code is executed, an extra browser window is opened where I should authorize myself. But if I do it over it, it doesn't work. Do you know why it can be that this authorization link is suddenly no longer shown? Any security setting maybe? I've tried several browsers.

EDIT: With the new authorization popup it works if i mount the google drive from the same google account like colab. But the problem is that my main google drive is on another account than Google Colab. With the link it used to work without any problems earlier...

EDIT 2: I have now solved it in such a way that I have shared the required folder for my other account and can now access it via my Colab Google Drive account. But I still didn't manage to get the link back.

After the code execution and authorization with the new popup i get this error message on Google Colab:

MessageError Traceback (most recent call last) in () 1 #Connect Google Drive 2 from google.colab import drive ----> 3 drive.mount('/gdrive')

3 frames /usr/local/lib/python3.7/dist-packages/google/colab/_message.py in read_reply_from_input(message_id, timeout_sec) 104 reply.get('colab_msg_id') == message_id): 105 if 'error' in reply: --> 106 raise MessageError(reply['error']) 107 return reply.get('data', None) 108

MessageError: Error: credential propagation was unsuccessful

I use this code:

I'm trying to initiate a Springboot project using Open Jdk 15, Springboot 2.6.0, Springfox 3. We are working on a project that replaced Netty as the webserver and used Jetty instead because we do not need a non-blocking environment.

In the code we depend primarily on Reactor API (Flux, Mono), so we can not remove org.springframework.boot:spring-boot-starter-webflux dependencies.

I replicated the problem that we have in a new project.: https://github.com/jvacaq/spring-fox.

I figured out that these lines in our build.gradle file are the origin of the problem.

I have two dataframes, df1 and df2. I would like to join the two with the following conditions:

1. merge df1 and df2 on gender and Test
2. TestDate in df1 need to be within Date1 and Date2 from df2
3. all.x = TRUE (keep df1 records)

How can I handle the second part?

I need to access the first element of a list. The problem is that the lists vary in the way how deep they are nested. Here is an example:

I am trying to do a regular import in Google Colab.
This import worked up until now.
If I try:

With the parent-child relationships data frame as below:

Springfox 3.0.0 is not working with Spring Boot 2.6.0, after upgrading I am getting the following error

Is there a way to put text along a density line, or for that matter, any path, in ggplot2? By that, I mean either once as a label, in this style of xkcd: 1835, 1950 (middle panel), 1392, or 2234 (middle panel). Alternatively, is there a way to have the line be repeating text, such as this xkcd #930 ? My apologies for all the xkcd, I'm not sure what these styles are called, and it's the only place I can think of that I've seen this before to differentiate areas in this way.

Note: I'm not talking about the hand-drawn xkcd style, nor putting flat labels at the top

I know I can place a straight/flat piece of text, such as via annotate or geom_text, but I'm curious about bending such text so it appears to be along the curve of the data.

I'm also curious if there is a name for this style of text-along-line?

Example ggplot2 graph using annotate(...):

Above example graph modified with curved text in Inkscape:

Edit: Here's the data for the first two trial runs in March and April, as requested:

I am trying to define a function that takes a data frame or table as input with a specific number of ID columns (e.g., 2 or 3 ID columns), and the remaining columns are NAME1, NAME2, ..., NAMEK (numeric columns). The output should be a data table that consists of the same ID columns as before plus one additional ID column that groups each unique pairwise combination of the column names (NAME1, NAME2, ...). In addition, we must gather the actual values of the numeric columns into two new columns based on the ID column; an example with two ID columns and three numeric columns: