vomit | minimal high order function for building user interfaces | Frontend Framework library

I have an application that saves in the local storage of the device, making use of the glutton: ^2.0.0 in debug mode everything works fine but when I compile the APK, I run the application and close it from the application manager, when I rerun the application the logic of the Main method does not work.

Any ideas?

I've been trying to solve the following problem : I try to upgrade this Frontend Mentor project https://haydee75.github.io/galleria/ from React Router v5 to v6. I tried to replace the code between with :

text:

1. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: NO WRITTEN EMPLOYEE HEALTH POLICY ON SITE. MUST PROVIDE FOR ALL EMPLOYEES. PRIORITY FOUNDATION VIOLATION 7-38-010 CITATION ISSUED. | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: NO WRITTEN CLEANING PROCEDURE OR REQUIRED EQUIPMENT FOR A VOMITING/DIARRHEA EVENT. MUST PROVIDE. PRIORITY FOUNDATION VIOLATION 7-38-005 CITATION ISSUED. | 25. CONSUMER ADVISORY PROVIDED FOR RAW/UNDERCOOKED FOOD - Comments: MENU DOES NOT DISCLOSE AND INFORM CONSUMERS THE SPECIFIC MENU ITEMS THAT ARE RAW OR UNDER COOKED AND A POTENTIAL HAZARD OF CONSUMING SUCH FOOD. MUST PROVIDE A CONSUMER ADVISORY THAT DISCLOSES AND REMINDS CUSTOMERS OF SUCH ITEMS. PRIORITY FOUNDATION VIOLATION. NO CITATION ISSUED. | 38.

Question:

The sections of the text include sections 3, 5, 25, and 38 (followed by starting index). I want to extract all texts from one section after '- Comments:' and before the starting index of the next section.

I'm having trouble widening the x axis of the forestplot. i.e. area inside the red box. I want to increase/zoom-in the plotted area(area inside the red box) without skipping any numbers. I want it to be wide enough for improved visibility. Any tips on how to expand the mean (95% CI) number lines would be greatly appreciated.

Can anyone help me?

Here are the r codes that I have used to create the above forestplot:

Text:

I have two pandas series, both string dtypes.

1. reports['corpus'] has 1287 rows

   0 point seem peaking effects drug unique compari...

   1 mother god seen much difficult withstand spent...

   2 getting weird half breakthrough feels like sec...

   3 vomited three times bucket suddenly felt much ...

   4 reached peak mild walk around without difficul...

2. labels['uniq_labels'] has 52 rows

   0 amplification

   1 enhancement

   2 psychedelic

   3 sensory

   4 visual

I want to create a new series object equal to the size of reports['corpus']. In it, each row needs to contain a list of string matches (i.e. searching reports['corpus'] for exact string matches to strings in labels['uniq_labels']).

I have tried looping over the two series to check if a string from labels['uniq_labels'] is in a report from reports['corpus']. I split at the report iter and am able to return a list of the strings that match. Though I can't seem to preserve conditions such as: allocating string matches for a given report to the reports' index position (very important).

Edit (Adding example of the series objects):

I know that title is word vomit, but I wasn't sure how to say this more concisely.

I have a very large table with columns A and B. This table is supposed to have an unusual property: for every value of column A, there should be at least one row where the value of B is null. However, this table has some anomalous rows which do NOT abide by this property and I would like to identify them so that I can clean up the table.

Background:

I have a game engine where there are several externed global pointers to various subsystems for ease-of-access for downstream game applications:

as the question states, im trying to figure out a way to call a dataframe in a different python script using a variable. i have a main dataframe (maindf) in main.py that holds the names of all the "sub" dataframes (called df1, df2....df9) located in other.py other.py is imported properly using import others ive also used from others import df1

variable gets created by looping through the main dataframe to get the correct name of one of the sub dataframes using dfname = (maindf.loc[i, ['dfnames']].values[0])

what im currently doing to access the correct dataframe after the variable is created by using if statements and it makes me wanna vomit just looking at it.