joe | A general-purpose bot library inspired by Hubot | Bot library

Basically there are rectangles (buildings) and circles (people).

The task I need to do is basically, when a function "fg" is called, every circle that is inside a given radius needs to run to the closest rectangle, and after all the circles inside the radius finds a rectangle, I need to report on a .txt file the names of the circles that run to each rectangle sorted alphabetically.

Such as:

Rectangle A: c1 c2 c3

Rectangle B: c7 c11 c20

...

And so on...

I need to store the addresses of the circles that run, on a vector of each rectangle. I tried to use qsort from stdlib.h, but maybe the function that i use to compare is wrong

(EDIT - full code to better understand):

I know how to filter rows based on content that is rendered in the table, but how could I filter (using useFilters) a table based on information which isn't shown in the table, but is available in the data-set?

I figure I could let react-table show the tags/meta-data in the table and just hide it with styling, but that seems not too good.

Example data:

earlier discussion with help of @Joe Ferndz here: merging varying number of rows and columns by multiple conditions in python

how the dataset looks like

Problem

I have a large JSON file (~700.000 lines, 1.2GB filesize) containing twitter data that I need to preprocess for data and network analysis. During the data collection an error happend: Instead of using " as a seperator ' was used. As this does not conform with the JSON standard, the file can not be processed by R or Python.

Information about the dataset: Every about 500 lines start with meta info + meta information for the users, etc. then there are the tweets in json (order of fields not stable) starting with a space, one tweet per line.

This is what I tried so far:

1. A simple data.replace('\'', '\"') is not possible, as the "text" fields contain tweets which may contain ' or " themselves.
2. Using regex, I was able to catch some of the instances, but it does not catch everything: re.compile(r'"[^"]*"(*SKIP)(*FAIL)|\'')
3. Using literal.eval(data) from the ast package also throws an error.

As the order of the fields and the legth for each field is not stable I am stuck on how to reformat that file in order to conform to JSON.

Normal sample line of the data (for this options one and two would work, but note that the tweets are also in non-english languages, which use " or ' in their tweets):

Lets say I had this sample of a mixed dataset:

I understand why it's important that all nodes on the Ethereum mainnet must execute any smart contract function call which changes the internal state of the contract or the chain. (For example, transfers from one account to another ec.)

What I'm wondering is, if its true that every node must execute every function called on any smart contract, even if the function doesn't result in a state change.

For example, if an ERC721 smart contract has a function "getName()" which just returns the name of the artwork the NFT represents which is stored in the NFt. Let's say joe connects to the network, and wants executes getName() on a contract. Does that mean that all 9,000 nodes end up spinning cycles executing getName(), even though Joe only needs it to be executed once? Does the gas cost of running "getName()" compensate each of the nodes for the overhead of running "getName()"? If that is true (that every node gets paid) will gas get even more expensive as more nodes join the pool?

Is one of the reasons gas prices are high is because of the inefficiency of every node having to execute every function called on a smart contract, even those that have no effect on state?

If so it would seem to be a very (and perhaps unnecessarily) expensive proposition to execute a computationally intensive but "pure" (no side effects) function on Ethereum, right?

Thanks. apologies for the possibly naive question!

In just starting to use JMeter I am trying to set variables of the form taskId_1, taskId_2, taskId_3 (defined in "User Defined Variables") and use them in HTTP Samples (REST requests). When I run postprocessors none of my JSON Extractors or Regular Expression Extractors save the values matched (and I tested the extracted regular expression using RegExp tester.)

The response sent from the GET request that I am parsing looks like (edited for readability):

Trying to figure out how to subtract a constant from a column based on the presence of a value in another DataFrame. For example, if I have the below DataFrame a that contains a column called person name and count:

I want to update records in table Users that are not present in table UserActions (see sqlfiddle demo or sql and data at gist.github)

My tables