dopey | ES索引的维护脚本 , 每天close delete reallocate optimize索引 | File Utils library

I am trying to load an image from a phone's camera into an image tag. It works great everywhere except Firefox on Android. Firefox version is 83.1.0 Below is the simple JavaScript and HTML that produces the issue. All I want to do is take a picture using the camera and load it into the img tag to display. Works great in Chrome and even Samsung's dopey internet browser. Just not in Firefox. The image does not display. What am I doing wrong?

Whenever I attempt to output a line, it outputs the data from the file vertically instead of outputting the full line horizontally. My main goal is to output each line individually and remove commas and repeat till no more lines are in the CSV file.

An example when I run the code:

I have a function that recursively calls itself to pull out and return things from a dictionary with multiple levels of nested objects (dicts, lists, and other flat [int/string/etc.] data types). At the end of it, it returns a flat 2D list of particular object names, and to do that, the function has an argument that stores the list which is passed to nested calls which then return it with the things it found appended to the list. When called by the user they shouldn't need to pass anything in to set this argument, and the default value for it is an empty list []. However, when I call this function more than once, the list keeps its contents and I end up getting the next call's items appended to the previous calls' results.

That explains the why and the issue. Below is a very simple example function that demonstrates this, without the nested calls:

Writing my first program using JavaFX here. The program shows data of an object (Person) and I want to implement a 'previous' button that should refresh the Pane with the previous object in a static ArrayList 'arrayListOfPeople'.

As a noob, I hoped I could simply do currentPersonPosition-1 and loadWindow like this:

I am trying to two data frames (df_a and df_b) in R (essentially I want to repopulate df_a with the updated data contained within df_b). The columns in df_b are all present in df_a. Within df_b there is (important) redundancy in ref_transcript_name, ref_transcript_id, and ref_gene_name, but all values of qry_transcript_id are unique and have a one-to-one relationship with df_a. My assumption here is that a left_join() would do the trick. I've tried:

1. df_c <- left_join(df_a, df_b) - here df_c is identical to df_b
2. df_c <- left_join(df_a, df_b, by = "qry_transcript_id") - here df_c contains the three non-guide columns of df_b as new columns of df_c.

I'm clearly missing something fundamental about the join functions here, but essentially I want to populate (most of) the missing values in df_a with the values from df_b.

Here are my data:

I have noticed in my debugging that the dopey typos which are hardest for me to find are as the result statements like: