edward | Web editor as express middleware | Editor library

I am trying to validate the json schema. I get below error when I try to do that

Actual response

{ "page": 2, "per_page": 6, "total": 12, "total_pages": 2, "data": [ { "id": 7, "email": "michael.lawson@reqres.in", "first_name": "Michael", "last_name": "Lawson", "avatar": "https://reqres.in/img/faces/7-image.jpg" }, { "id": 8, "email": "lindsay.ferguson@reqres.in", "first_name": "Lindsay", "last_name": "Ferguson", "avatar": "https://reqres.in/img/faces/8-image.jpg" }, { "id": 9, "email": "tobias.funke@reqres.in", "first_name": "Tobias", "last_name": "Funke", "avatar": "https://reqres.in/img/faces/9-image.jpg" }, { "id": 10, "email": "byron.fields@reqres.in", "first_name": "Byron", "last_name": "Fields", "avatar": "https://reqres.in/img/faces/10-image.jpg" }, { "id": 11, "email": "george.edwards@reqres.in", "first_name": "George", "last_name": "Edwards", "avatar": "https://reqres.in/img/faces/11-image.jpg" }, { "id": 12, "email": "rachel.howell@reqres.in", "first_name": "Rachel", "last_name": "Howell", "avatar": "https://reqres.in/img/faces/12-image.jpg" } ], "support": { "url": "https://reqres.in/#support-heading", "text": "To keep ReqRes free, contributions towards server costs are appreciated!" } }

Feature: Create and Read persons ...

Background: * def personBase = '/api/person/'

Scenario: Sample

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i have the following test-code here

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I'm calling a paginated API and storing the data of different pages into separate files. The two files are added below.

file1.json

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Seems very basic but I can't find any info on why is it happening.

I'm using the canonical MDN example to sort an array of objects and it seems the order in which the elements are passed into the compare callback is the opposite order. e.g.

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In BigQuery, how can I get rows based on the latest value of timestamp field?

For example, I have this table.

first_name last_name use_auto login_at James Davis true 2021-05-13 02:00:00 UTC James Moore true 2021-05-13 02:00:01 UTC James Green true 2021-05-13 02:00:02 UTC Edward Green false 2021-05-13 03:00:00 UTC Edward Wilson false 2021-05-13 03:00:01 UTC James Davis false 2021-05-13 03:00:00 UTC James Moore false 2021-05-13 03:00:01 UTC James Green false 2021-05-13 03:00:02 UTC Edward Green true 2021-05-13 02:00:00 UTC Edward Wilson true 2021-05-13 02:00:00 UTC

I'd like to get the result after query like this,

first_name last_name use_auto login_at Edward Green false 2021-05-13 03:00:00 UTC Edward Wilson false 2021-05-13 03:00:01 UTC James Davis false 2021-05-13 03:00:00 UTC James Moore false 2021-05-13 03:00:01 UTC James Green false 2021-05-13 03:00:02 UTC

Please let me know what query should I use.

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Supposed I have two tables as below, table_a and table_b are almost with the same data structure:

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I made a 5 minute(300 seconds) cooldown for my discord.js bot, but when someone uses it more than once in under 5 minutes, it sends something like: @Edward, please wait 250.32 second(s) until you can use this command! Is there any way to change 250.32 seconds to something like 4 minutes 10 seconds or something close to that? I'm a noob at Node.js so help would be greatly appreciated.

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I'm currently working with a MongoDB database and I want to extract all the unique people born in all the places used. So if people have the same name and age then I would only count that as one for that location. I am using MongoDB Version 3.2 so any answers would need to be in that if possible. An example of the document is:

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I am building a pivot table in pandas and need to apply a variety of functions to the data. My problem is, for certain aggfuncs, I need to apply them to the entire dataset, whereas for others, I need to drop duplicates before applying the function. My dataframe looks similar to this:

I'm working with a dataframe similar to this:

Name Metric 1 Metric 2 Country Payment John 0.10 5.00 Canada 100 John 0.30 1.00 Canada 100 John .40 Canada 100 Jane 0.50 US 30 Jane US 30 Jack UK 50 Jack .70 .2 UK 50 Jack 1.00 UK 50 Jack UK 50 Polly 0.30 Canada 150 Mike Argentina 80 Mike Argentina 80 Steve Canada 20 Lily 0.15 1.20 Mexico 40 Kate 3.00 Australia 90 Edward 0.05 Australia 70 Pete 0.02 0.03 New Zealand 20

Here's my code:

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