pipeline

Create releases from within a GitLab runner/pipeline

由 我是研究僧i 提交于 2019-12-06 07:50:20
问题 With the release of Gitlab 11.7 in January 2019, we get the new key feature Publish releases for your projects. I want precisely what the screenshot on that page shows and I want to be able to download compiled binaries using the releases API. I can do it manually. Of course, instructions for the manual approach can be found here on stack overflow. The problem I need help with is doing it as part of a CI/CD pipeline, which is not covered by the answers one can find easily. The release notes

Assembly PC Relative Addressing Mode

由 China☆狼群 提交于 2019-12-06 07:46:50
问题 I am working on datapaths and have been trying to understand branch instructions. So this is what I understand. In MIPS, every instruction is 32 bits. This is 4 bytes. So the next instruction would be four bytes away. In terms of example, I say PC address is 128. My first issue is understanding what this 128 means. My current belief is that it is an index in the memory, so 128 refers to 128 bytes across in the memory. Therefore, in the datapath it always says to add 4 to the PC. Add 4 bits to

How can I determine the parameters that were bound in just the current pipeline step?

由 让人想犯罪 __ 提交于 2019-12-06 06:00:24
Consider the following script: function g { [CmdletBinding()] param ( [parameter(ValueFromPipelineByPropertyName = $true)]$x, [parameter(ValueFromPipelineByPropertyName = $true)]$y, [parameter(ValueFromPipelineByPropertyName = $true)]$z ) process { $retval = @{psbp=@{};mibp=@{};x=$x;y=$y;z=$z} $PSBoundParameters.Keys | % { $retval.psbp.$_ = $PSBoundParameters.$_ } $PSCmdlet.MyInvocation.BoundParameters.Keys | % { $retval.mibp.$_ = $PSCmdlet.MyInvocation.BoundParameters.$_} return New-Object psobject -Property $retval } } $list = (New-Object psobject -Property @{x=1;z=3}), (New-Object psobject

Why du or echo pipelining is not working?

由 我只是一个虾纸丫 提交于 2019-12-06 02:13:46
问题 I'm trying to use du command for every directory in the current one. So I'm trying to use code like this: ls | du -sb But its not working as expected. It outputs only size of current '.' directory and thats all. The same thing is with echo ls | echo Outputs empty line. Why is this happening? 回答1: Using a pipe sends the output ( stdout ) of the first command, to stdin (input) of the child process (2nd command). The commands you mentioned don't take any input on stdin . This would work, for

从Asset Packager升级到Assets Pipeline

由 给你一囗甜甜゛ 提交于 2019-12-06 02:06:53
最近做的一个项目是把一个原来 Rails 2 的网站升级到 Rails 3.2。 这个 project 里面用到了Asset Packager 来管理 Javascript 文件。Rails 3.1 开始采用 Assets Pipeline 来管理 Javascript，stylesheet，和 images 等资源。在研究了一下 Asset Packager 以后，发现它做的事情和 Assets Pipeline 接近。升级的策略比较直接，如下： 1. 把 public/javascripts 下的文件拷贝到 app/assests/javascripts下。 2. 对应文件 config/asset_packages.yml 里面的每个javascript package 名字，在 app/assets/javascripts 下创建一个文件。这个文件的名字格式如下： #{package_name}_package.js 。这个文件里面列出原来 package 包含的文件。 例如文件asset_packages.yml 里面包含如下内容 javascripts: - base: - jquery/jquery-1.3.2 - jquery/jquery.livequery - jquery/jquery.validate-1.5.1 - jquery/jquery

Putting together sklearn pipeline+nested cross-validation for KNN regression

由 与世无争的帅哥 提交于 2019-12-06 01:38:47
I'm trying to figure out how to built a workflow for sklearn.neighbors.KNeighborsRegressor that includes: normalize features feature selection (best subset of 20 numeric features, no specific total) cross-validates hyperparameter K in range 1 to 20 cross-validates model uses RMSE as error metric There's so many different options in scikit-learn that I'm a bit overwhelmed trying to decide which classes I need. Besides sklearn.neighbors.KNeighborsRegressor , I think I need: sklearn.pipeline.Pipeline sklearn.preprocessing.Normalizer sklearn.model_selection.GridSearchCV sklearn.model_selection

How to fit different inputs into an sklearn Pipeline?

由 限于喜欢 提交于 2019-12-05 22:21:44
问题 I am using Pipeline from sklearn to classify text. In this example Pipeline I have a TfIDF vectorizer and some custom features wrapped with FeatureUnion and a classifier as the Pipeline steps, I then fit the training data and do the prediction: from sklearn.pipeline import FeatureUnion, Pipeline from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.svm import LinearSVC X = ['I am a sentence', 'an example'] Y = [1, 2] X_dev = ['another sentence'] # load custom features and

AttributeError when using ColumnTransformer into a pipeline

由 百般思念 提交于 2019-12-05 21:39:34
This is my first machine learning project and the first time that I use ColumnTransformer. My aim is to perform two steps of data preprocessing, and use ColumnTransformer for each of them. In the first step, I want to replace the missing values in my dataframe with the string 'missing_value' for some features, and the most frequent value for the remaining features. Therefore, I combine these two operations using ColumnTransformer and passing to it the corresponding columns of my dataframe. In the second step, I want to use the just preprocessed data and apply OrdinalEncoder or OneHotEncoder

What happens to software interrupts in the pipeline?

由 。_饼干妹妹 提交于 2019-12-05 21:21:49
After reading this: When an interrupt occurs, what happens to instructions in the pipeline? There is not much information on what happens to software interrupts but we do learn the following: Conversely, exceptions, things like page faults, mark the instruction affected. When that instruction is about to commit, at that point all later instructions after the exception are flushed, and instruction fetch is redirected. I was wondering what would happen to software interrupts (INT 0xX) in the pipeline, firstly, when are they detected? Are they detected at the predecode stage perhaps? In the

What is the preferred way to setup a continuous integration build chain for a big project with TeamCity?

由 半世苍凉 提交于 2019-12-05 19:45:59
for some time my company is now using Maven and TeamCity to build Java stuff. Currently we are investing quite heavily in continuous integration and ultimately continuous delivery. Among many smaller applications (apps) we are operating one big monolith app with approx. 1 million LOC. This app on quite a big build agent takes 5 minutes to compile (incl. 2 minutes svn up). Its 12k unit tests are running for another 5 minutes. Deploying the build results to Nexus takes at least 10 minutes. To provide fast feedback to developers we try to split the the amount of work to be done in different build
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