typical | playground for type-level primitives in TypeScript | Functional Programming library

I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.

First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?

Usage

I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..

We can assume an average of 50k forms per gym

Options

• First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.

• Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.

• Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.

Is there another option? Which one of the three is better?

Edit: I'm assuming another option would be SimpleDB?

This probably ins't typical setup, but due to higher decisions we endup having multiple kafka clusters within one app, multiple topics per each, and each might have different serializing strategy. Json/avro. And avro might be with confluent schema registry or using single object encoding.

Well I got it working somehow, by building my own abstractions and registry which analyzes the configuration and creates most of stuff manually, but I feel I needed to repeat stuff like topic names, schema registry url on several places multiple times just to create all needed beans. Ugly as hell.

I'd like to ask, if there is some better way and support for this I just might have overlooked.

I need to create N representations of kafka clusters, configuring it once. Configure topics respective to given kafka cluster, configure confluent schema registry for topics where applicable etc, so that I can create instance of Avro schema file, send it to KafkaTemplate and it will work.

I have a file which contains a POSTCODE column. A UK postcode typically looks like SW1A 0AA with that space in the middle.

I know I can use drop_duplicates() to get unique values but I want that to apply to only the first part of the postcode (i.e., the SW1A part). I can probably manage it but converting it to a list then doing some string slicing e.g., .split(' ')[0], then getting the unique values but that seems overly cumbersome. So I wonder if there's a nicer way of doing this?

What I have so far is:

I don't really know where the error is, for me, it's still a mystery. But I'm using Laravel 8 to produce a project, it was working perfectly and randomly started to return this error and all projects started to return this error too. I believe it's something with Redis, as I'm using it to store the system cache. When I go to access my endpoint in postman it returns the following error:

I am trying to create a snackbar on the click of a button in flutter, but getting exception that No ScaffoldMessenger widget found. The same code seems to work properly in the Flutter sample mentioned in docs. Am I missing something here? Thanks.

Here's my main.dart file

I want to replace the version number of multiple pom.xml files of a specific dependency.

As I understood:

sed is meant for replacing a string in one line and I have difficulties replacing the next line.

awk is intended for multiple lines. however I have difficulties replacing the text while using it with find. So far I came up with this solution but I don't know how to replace the string in the file? Is awk the right tool anyway for my purposes?

I posted a similar question a week ago but I failed to identify the real problem. Therefore, the question was far from being correct.

Now, I clearly now what is going on but I cannot understand why it is happening. I also reviewed similar problems related with the same error but the solutions for these problems were not applicable to my case.

I am plotting the frequency distribution of a variable during the fieldwork progress of a survey. Therefore, it shows how the proportion of that variables has changed through time.

So, I have a variable (Startday) that tells which day the respondent took the survey, if he/she did not then it is NA. Then, I have the typical variables like sex or marital status.

This is the code to plot such graph

Im new to python, and I need to use it inside my Zapier automation. In my automation, I want to convert phone numbers from various format to specific format (whatsapp url purpose). How can I extract and convert below inputs to specific output using python?

input:
+62 812-3456-7890
62081234567890
6281234567890
+6281234567890
081234567890
(62)81234567890
(62)081234567890
(+62)81234567890
(+62)081234567890

output:
6281234567890

Additional information: "62" is the country code for Indonesia typically 8-12 digits including a "0" prefixing the "8nn"

Thank you in advance

Similar questions to this have been asked many times, but surprisingly few of the answers seem to address what I believe my problem to be.

I have csv files with one or more columns that contain a dictionary in each cell. After read_csv step, I have tried ast.literal_eval on these columns in order to convert the str format dicts into dict type objects. However, I keep getting the malformed node or string error.

Here is a typical example of the dicts in question: {1: 3681.45, 0: 3693.3333333333335}. And another, with a nan value: {1: 4959.95652173913, 0: nan}. Edit: It was only this nan value causing the error, in fact (see Rakesh's solution below).

Looking through previous answers, one reason for this error may be because most of the values of the dicts in these columns are floating point numbers, and apparently literal_eval can't handle floats or nans, even if they're contained within dictionaries (although, this is me inferring from a question about tuples).

I had to read a lot of questions and answers even to get this much information, so thought it could be useful to start a new topic with the keywords str, dict, but also nan in the title.

Any help much appreciated!