operator | Istio operator provides user friendly options to operate | User Interface library

 by   istio Go Version: Current License: Apache-2.0

kandi X-RAY | operator Summary

kandi X-RAY | operator Summary

operator is a Go library typically used in User Interface applications. operator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repo reorganizes the current Helm installation parameters into two groups:. Some parameters will temporarily exist in both APIs - for example, setting K8s resources currently can be done through either API above. However, the Istio community recommends using the first API as it is more consistent, is validated, and will naturally follow the graduation process for APIs while the same parameters in the configuration API are planned for deprecation.
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            kandi-support Support

              operator has a low active ecosystem.
              It has 171 star(s) with 82 fork(s). There are 65 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              operator has no issues reported. There are 10 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of operator is current.

            kandi-Quality Quality

              operator has no bugs reported.

            kandi-Security Security

              operator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              operator is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              operator releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            operator Key Features

            No Key Features are available at this moment for operator.

            operator Examples and Code Snippets

            r Conjugate the gradient operator .
            pythondot img1Lines of Code : 108dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def conjugate_gradient(operator,
                                   rhs,
                                   preconditioner=None,
                                   x=None,
                                   tol=1e-5,
                                   max_iter=20,
                                   name='conjugate_gradie  
            Initialize the linear operator .
            pythondot img2Lines of Code : 75dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(self,
                           spectrum,
                           block_depth,
                           input_output_dtype=dtypes.complex64,
                           is_non_singular=None,
                           is_self_adjoint=None,
                           is_positive_definite=None,
                        
            Overrides binary operator .
            pythondot img3Lines of Code : 75dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _OverrideBinaryOperatorHelper(func, op_name, clazz_object=ops.Tensor):
              """Register operators with different tensor and scalar versions.
            
              If `clazz_object` is `SparseTensor`, assumes `func` takes `(sp_indices,
              sp_values, sp_shape, dense)` an  

            Community Discussions

            QUESTION

            Primary expression error when defining a vector with ternary operator
            Asked 2021-Jun-15 at 21:48

            I have a simple code where I try to define a vector as one of two initializer lists using a ternary operator:

            ...

            ANSWER

            Answered 2021-Jun-15 at 21:48

            Because you can't have braces in that context. If you look at cppreference on list initialization, you see that the case inside a ternary operator isn't defined. So it can't be parsed correctly and you get the error you have.

            You'd have to use something like this :

            Source https://stackoverflow.com/questions/67993769

            QUESTION

            Having a SQL statement as WHERE clause in another SQL statement?
            Asked 2021-Jun-15 at 20:22

            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%,

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:22

            From what I understand from your description you are almost there, you just need a minor tweak:

            Source https://stackoverflow.com/questions/67992275

            QUESTION

            Problem validating a string inside a pandas dataframe column
            Asked 2021-Jun-15 at 20:15

            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.

            ...

            ANSWER

            Answered 2021-Jun-15 at 19:53

            QUESTION

            Shorthand object initializer syntax for matching property name
            Asked 2021-Jun-15 at 18:36

            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.)

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:26

            The best I have so far is { person: message.person, tag: 1 }.

            Is there shorthand initializer syntax to achieve this?

            No, this is still they way to go.

            hoping that a property name would magically be inferred from person

            Source https://stackoverflow.com/questions/67989808

            QUESTION

            What is the Sobel operator?
            Asked 2021-Jun-15 at 18:13

            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:

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:22

            according to wikipedia it's [[1, 0, -1],[2, 0, -2],[1, 0, 1]] but according to other sources it's [[-1, 0, 1],[-2, 0, 2],[-1, 0, 1]]

            Both are used for detecting vertical edges. Difference here is how these kernels mark "left" and "right" edges.

            For simplicity sake lets consider 1D example, and let array be

            [0, 0, 255, 255, 255]

            then if we calculate using padding then

            • kernel [2, 0, -2] gives [0, -510, -510, 0, 0]
            • kernel [-2, 0, 2] gives [0, 510, 510, 0, 0]

            As you can see abrupt increase in value was marked with negative values by first kernel and positive values by second. Note that is is relevant only if you need to discriminate left vs right edges, when you want just to find vertical edges, you might use any of these 2 aboves and then get absolute value.

            Source https://stackoverflow.com/questions/67987368

            QUESTION

            How can I use paste0() to access a column from a reactive expression that returns a data frame in r?
            Asked 2021-Jun-15 at 15:12

            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?

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:12

            You can try this code -

            Source https://stackoverflow.com/questions/67978600

            QUESTION

            Read/write Eigen::Matrix with cv::Filestorage
            Asked 2021-Jun-15 at 15:05

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

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:05

            The issue is due to the intruduction of namespace, indeed you can get a similar issue with this code:

            Source https://stackoverflow.com/questions/67985606

            QUESTION

            JAVASCRIPT Problem with regex in the .split() method
            Asked 2021-Jun-15 at 14:30

            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.

            ...

            ANSWER

            Answered 2021-Jun-14 at 14:05

            QUESTION

            Problem with FULLY_CONNECTED op in TF Lite
            Asked 2021-Jun-15 at 13:22

            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:

            ...

            ANSWER

            Answered 2021-May-25 at 01:08

            I had the same problem, man. I want to transplant tflite to the development board of CEVA. There is no problem in compiling. In the process of running, there is also an error in AddBuiltin(full_connect). At present, the only possible situation I guess is that some devices can not support tflite.

            Source https://stackoverflow.com/questions/67677228

            QUESTION

            How to implement a new model
            Asked 2021-Jun-15 at 13:18

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

            Is it possible to do it?

            ...

            ANSWER

            Answered 2021-May-12 at 05:44

            TFLite supports Conv1D through wrappring the existing Conv2D op with a Reshape op already. Did you try the conversion? I think your case is already supported by the TensorFlow Lite builtin op set. If not, please file a feature request at the TensorFlow github.

            Source https://stackoverflow.com/questions/67481996

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install operator

            The quick start describes how to install and use the operator mesh CLI command and/or controller.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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