operator | Run production-grade databases | Continuous Deployment library

Is it possible to have another SQL query as the where statement as I tried below? The following query did not work for me. My goal is to select only the records from NOR_LABOR table which are the ID is greater than the current maximum ID in ALL_LABOR_DETAILS table where work_center column like %NOR%,

I'm trying to look for a string inside a dataframe column, but when I try to look for it using the 'in' operator it always returns me 'False', anyone knows why? My dataframe print showing the description is here.

Sometimes I find myself needing to initialize an object with a property that matches the property of another object. When the property name is the same, I want to be able to use shorthand syntax.

(For the purposes of the examples in this question, I'll just keep the additional properties to a tag: 1 property, and I'll reuse message in subsequent examples as the input/source of the information. I also indicate an extra unwanted property of message because I'm cherry-picking properties and do not intend to just use Object.assign to assign all the properties of message to the result.)

I tried 5 different implementations of the Sobel operator in Python, one of which I implemented myself, and the results are radically different.

My questions is similar to this one, but there are still differences I don't understand with the other implementations.

Is there any agreed on definition of the Sobel operator, and is it always synonymous to "image gradient"?

Even the definition of the Sobel kernel is different from source to source, according to Wikipedia it is [[1, 0, -1],[2, 0, -2],[1, 0, -1]], but according to other sources it is [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]].

Here is my code where I tried the different techniques:

I have the following piece of code in a shiny app. My goal is to generate the choices for the "cutFamily2" selectInput widget based on what the user chose for the "machine2" selectInput.

If I use corte2() instead of eval(paste0("corte",2)) on the observerEvent the app runs properly. The problem is that I want to use the paste0() because the integer "2" in eval(paste0("corte",2)) will be an argument of a function (function(data,n)) so I can easily generate corte1, corte2 and so on.

When I run it using eval(paste0("corte",2)) I am getting the "error in $: $ operator is invalid for atomic vectors" and the app won't even run. I tried to use enframe() to convert it to a tibble, then the app runs, but I get a "Unknown or uninitialised column: CutFamily" error and the SelectInput choices will be empty. I also tried [[ instead, but nothing.

Any ideas on how to solve the problem?

According to the OpenCV Docs, we can use cv::FileStorage to read/write custom data structure from/to config files (XML, YAML, JSON):

I have a string formed by number and mathematical operator like "1 + 1 *1" that is the text content of the number appendend on the screen div, I want to form an array of them and then divide it using mathematical operators such as + or - as a divisor, the problem is that when I try to divide them the array is actually divided, except for when the "-" sign is present, in fact if I have as a string "1 + 1 * 1 -1" the result will be an array ["1", "1", "1-1"] while it should be ["1", "1", "1", "1"] Thanks everyone in advance.

I'd like to run a simple neural network model which uses Keras on a Rasperry microcontroller. I get a problem when I use a layer. The code is defined like this:

I have to create an operator in order to implement a new layer with different paddings.

Is it possible to do it?