cov | LLVM-GCOV Source coverage for Rust | DevOps library

 by   kennytm Rust Version: Current License: MIT

kandi X-RAY | cov Summary

kandi X-RAY | cov Summary

cov is a Rust library typically used in Devops applications. cov has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

cargo-cov is a cargo subcommand which performs source coverage collection and reporting for Rust crates. cargo-cov utilizes LLVM’s gcov-compatible profile generation pass, and supports a lot of platforms.
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              cov has a low active ecosystem.
              It has 109 star(s) with 11 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 14 open issues and 8 have been closed. On average issues are closed in 31 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cov is current.

            kandi-Quality Quality

              cov has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              cov is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              cov releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            cov Key Features

            No Key Features are available at this moment for cov.

            cov Examples and Code Snippets

            Computes the SSIM contrast - similarity measure .
            pythondot img1Lines of Code : 56dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _ssim_helper(x, y, reducer, max_val, compensation=1.0, k1=0.01, k2=0.03):
              r"""Helper function for computing SSIM.
            
              SSIM estimates covariances with weighted sums.  The default parameters
              use a biased estimate of the covariance:
              Suppose `re  

            Community Discussions

            QUESTION

            Segmentation fault using np.cov while serving a flask app via waitress
            Asked 2021-Jun-14 at 09:34

            I wanted to perform a simple calculation of the covariance within a more complex flask app. Below I created a minimal random example without flask (which is actually working) of the calculation causing the problems (in the flask/waitress setup).

            ...

            ANSWER

            Answered 2021-Jun-14 at 09:34

            Updating all packages solved the issue

            Source https://stackoverflow.com/questions/67940287

            QUESTION

            How to use two where conditions in SQL?
            Asked 2021-Jun-12 at 16:35

            Following is the query I have written and I need to where conditions.

            1. Admin_Level_3_palika is not null
            2. Year = '2021'

            However, the following query is still giving me null values for Admin_Level_3_palika

            ...

            ANSWER

            Answered 2021-Jun-12 at 16:31

            change the or to and

            the line:

            Source https://stackoverflow.com/questions/67950823

            QUESTION

            Implementation of Principal Component Analysis from Scratch Orients the Data Differently than scikit-learn
            Asked 2021-Jun-11 at 14:09

            Based on the guide Implementing PCA in Python, by Sebastian Raschka I am building the PCA algorithm from scratch for my research purpose. The class definition is:

            ...

            ANSWER

            Answered 2021-Jun-11 at 12:52

            When calculating an eigenvector you may change its sign and the solution will also be a valid one.

            So any PCA axis can be reversed and the solution will be valid.

            Nevertheless, you may wish to impose a positive correlation of a PCA axis with one of the original variables in the dataset, inverting the axis if needed.

            Source https://stackoverflow.com/questions/67932137

            QUESTION

            connect to mssql in Nestjs with Typeorm, but Nest can't resolve dependencies of the EmployeeRepository
            Asked 2021-Jun-10 at 09:58

            I'm connect mssql in Nestjs with Typeorm and get error Nest can't resolve dependencies of the EmployeeRepository

            my app.module.ts file:

            ...

            ANSWER

            Answered 2021-Jun-10 at 08:28

            I suggest adding the entities path oin your config so it can find files :

            Source https://stackoverflow.com/questions/67916727

            QUESTION

            snakemake - define input for aggregate rule without wildcards
            Asked 2021-Jun-08 at 15:40

            I am writing a snakemake to produce Sars-Cov-2 variants from Nanopore sequencing. The pipeline that I am writing is based on the artic network, so I am using artic guppyplex and artic minion.

            The snakemake that I wrote has the following steps:

            1. zip all the fastq files for all barcodes (rule zipFq)
            2. perform read filtering with guppyplex (rule guppyplex)
            3. call the artic minion pipeline (rule minion)
            4. move the stderr and stdout from qsub to a folder under the working directory (rule mvQsubLogs)

            Below is the snakemake that I wrote so far, which works

            ...

            ANSWER

            Answered 2021-Jun-08 at 15:40

            The rule that fails is rule guppyplex, which looks for an input in the form of {FASTQ_PATH}/{{barcode}}.

            Looks like the wildcard {barcode} is filled with barcode49/barcode49.consensus.fasta, which happened because of two reasons I think:

            First (and most important): The workflow does not find a better way to produce the final output. In rule catFasta, you give an input file which is never described as an output in your workflow. The rule minion has the directory as an output, but not the file, and it is not perfectly clear for the workflow where to produce this input file.

            It therefore infers that the {barcode} wildcard somehow has to contain this .consensus.fasta that it has never seen before. This wildcard is then handed over to the top, where the workflow crashes since it cannot find a matching input file.

            Second: This initialisation of the wildcard with sth. you don't want is only possible since you did not constrain the wildcard properly. You can for example forbid the wildcard to contain a . (see wildcard_constraints here)

            However, the main problem is that catFasta does not find the desired input. I'd suggest changing the output of minion to "nanopolish/{barcode}/{barcode}.consensus.fasta", since the you already take the OUTDIR from the params, that should not hurt your rule here.

            Edit: Dummy test example:

            Source https://stackoverflow.com/questions/67805295

            QUESTION

            R - Apply function to list of lm summaries
            Asked 2021-Jun-07 at 17:41

            I have a list with the summaries of different linear regressions. I want to extract the coefficients and p-values of all the elements of the linear regressions and put them in a dataframe (one dataframe per each element of the lm).

            For example, to extract the coeffcients of the interecpt I am using the follwing:

            ...

            ANSWER

            Answered 2021-Jun-07 at 03:10

            Change your function to -

            Source https://stackoverflow.com/questions/67864253

            QUESTION

            Calculate difference of data in respective weeks using week number
            Asked 2021-Jun-06 at 12:00

            My data is stored in Google Big QUery in a database. This is how my table looks like. Here Epid_ID is unique for each row and the count is calculated using this value.

            ...

            ANSWER

            Answered 2021-Jun-06 at 10:19

            I think you want conditional aggregation here:

            Source https://stackoverflow.com/questions/67857982

            QUESTION

            (R) Error in Xi - Xj : non-numeric argument to binary operator
            Asked 2021-Jun-04 at 21:55

            I am working with the R programming language. I am trying to recreate the graphs shown in this tutorial over here : https://www.rpubs.com/cboettig/greta-gp

            This tutorial shows how to make a special type of regression model for 2 variables. I am able to copy and paste the code from this tutorial and successfully make the desired graphs:

            ...

            ANSWER

            Answered 2021-Jun-04 at 21:55

            I think I got the problem. First of all below is the way by which we can reproduce the error & the way you have proceed :

            Source https://stackoverflow.com/questions/67764577

            QUESTION

            How to ignore certain scripts while testing flask app using pytest in gitlab CI/CD pipeline?
            Asked 2021-Jun-04 at 11:49

            I have a flask-restx folder with the following structure

            ...

            ANSWER

            Answered 2021-Jun-04 at 11:49

            As I understand it, coverage is about reporting how much of your codebase is tested, not which tests to run. What you're doing is excluding things from a report, not stopping the data for the report being created.

            What you should do is skip tests if you know they're going to fail (due to external configuration). Fortunately pytest provides for this with the skipif decorator.

            I would create a function in tests/conftest.py which skips tests if the VPN is active. Something like:

            Source https://stackoverflow.com/questions/67792343

            QUESTION

            Calculate emmeans using multiple values of the continuous predictor
            Asked 2021-Jun-03 at 23:49

            This question relates to Emmeans continuous independant variable

            I want to calculate EMM for at least three values of diameter, i.e., min, mean, and max, with a one-liner. Specifying cov.reduce = range gives the estimates using min and max diameter only, removing cov.reduce = range gives the estimates using the mean diameter.

            ...

            ANSWER

            Answered 2021-Jun-03 at 23:49

            This is easily done, since you can specify any function. So try

            Source https://stackoverflow.com/questions/67828152

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

            Vulnerabilities

            No vulnerabilities reported

            Install cov

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            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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