netlib | ️ This repository | Proxy library

 by   mitmproxy Python Version: 0.17 License: MIT

kandi X-RAY | netlib Summary

kandi X-RAY | netlib Summary

netlib is a Python library typically used in Networking, Proxy applications. netlib has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install netlib' or download it from GitHub, PyPI.

🗃️ This repository has been integrated into mitmproxy/mitmproxy.

            kandi-support Support

              netlib has a highly active ecosystem.
              It has 66 star(s) with 68 fork(s). There are 17 watchers for this library.
              It had no major release in the last 12 months.
              netlib has no issues reported. There are no pull requests.
              It has a negative sentiment in the developer community.
              The latest version of netlib is 0.17

            kandi-Quality Quality

              netlib has 0 bugs and 0 code smells.

            kandi-Security Security

              netlib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              netlib code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              netlib 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

              netlib releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 28 lines of code, 0 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            netlib Key Features

            No Key Features are available at this moment for netlib.

            netlib Examples and Code Snippets

            Convert p to ndarray .
            pythondot img1Lines of Code : 27dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def ndtri(p, name="ndtri"):
              """The inverse of the CDF of the Normal distribution function.
              Returns x such that the area under the pdf from minus infinity to x is equal
              to p.
              A piece-wise rational approximation is done for the function.
            Pip cannot install anything after upgrading to Python 3.10.0 on windows
            Pythondot img2Lines of Code : 2dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install --upgrade pip
            Python pip install ends with "command errored out with exit status 1:..."
            Pythondot img3Lines of Code : 2dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install -U setuptools
            Can't install new packages for Python (Python 3.9.0, Windows 10)
            Pythondot img4Lines of Code : 3dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip intstall pipwin
            pipwin install 
            Python: Nested if SyntaxError: invalid syntax
            Pythondot img5Lines of Code : 4dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                        out.write("{0:<20}".format("Netlib") + "{0:<20}".format("MKL")   
                        out.write("{0:<20}".format("Netlib") + "{0:<20}".format("MKL"))
            I can't install numpy for some reason
            Pythondot img6Lines of Code : 15dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            The way to install the numpy is to do "pip install numpy" if your installing through Terminal,if its not done yet,then it will be your locations problems of python interpreter,may be like[enter image description here][1]
            if th
            Numpy Installation for Python Ver-3.9
            Pythondot img7Lines of Code : 2dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pip install D:\Users\\Downloads\numpy-1.19.2+mkl-cp39-cp39-win_amd64.whl
            Problem installing numpy for PyPy3 on Windows 10
            Pythondot img8Lines of Code : 5dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            pypy -m pip install numpy 
            Calling Pardiso 6 in Python
            Pythondot img9Lines of Code : 5dot img9License : Strong Copyleft (CC BY-SA 4.0)
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            LD_LIRARY_PATH=$LD_LIRARY_PATH:/my_path_to_lapack \
            python -c"import ctypes; pardiso = ctypes.CDLL(pardiso_so_address)"
            conda install -c anaconda mkl 
            How to fix pip package installation error in pycharm windows?
            Pythondot img10Lines of Code : 2dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            File->Settings->Project->Project Interpreter

            Community Discussions


            C++ (cpp-netlib) http listener - how to remove headers
            Asked 2022-Mar-27 at 22:23

            I created an HTTP listener that accepts POST requests for files. I followed this template almost exactly:

            I start my listener like so: ./build/http_listener 8000

            Then post file to the listener using curl: curl --form "fileupload=@file1.txt" -X POST

            I noticed that the variable body__, which gets populated with the text of the file also gets populated with header data. I do not want this. How do I populate the variable body__ without any header data?

            This is what it looks like:



            Answered 2022-Mar-27 at 22:23

            body__ does not get populated with header data. What you see is multipart data that you submit with --form . If you want submit raw file data use another curl command:



            Using the cblas_chpr function
            Asked 2022-Feb-09 at 19:15

            I'm having issue when I tried to use the cblas_chpr() function from the cblas library to calculate the correlation matrix of a float complex vector.

            After downloading the Lapack v3.10.0 Library from, I compiled it and copied the libcblas.a, liblapack.a, liblapacke.a, librefblas.a and libtmglib.a files to my project and make sure that the libraries are linked correctly.

            According to the description, the cblas_chpr function calculates alpha * x * conjg(x') + A and stores the result in A.

            The function is defined as:



            Answered 2022-Feb-09 at 19:15

            Answering my own question in case someone else ran into the same issue. A should be a 1D array of size N * (N + 1) / 2. Also, the value each element in array A must be initialize to zero. Otherwise, the result will be wrong. Read the description for the cblas_chpr() function for why this is the case.



            Why doesn't QR decomposition work correctly? (Lapacke, complex case)
            Asked 2022-Jan-27 at 19:24

            I use Lapacke. I am trying to do QR decomposition in C for complex data. For this I write the function (based on Haatschii code How to get the Q from the QR factorization output?):



            Answered 2022-Jan-27 at 19:24

            The input matrix A is 5x5 but it has rank 2. The first two columns are linearly independent, while the last three columns of A are linear combinations of the first two.

            For a QR factorization, this means that there is not unicity for the last three columns of Q. An QR factorization implementation (e.g., LAPACK, numpy, etc. ) can return any three columns that are (1) mutually orthonormal and (2) in A^(perp), and that is a correct answer. There are many correct answers! The solution is not unique.

            If you want to check the Q and R returned by LAPACK, (or any QR factorization implementation for the matter,) you can (1) compute Q'*Q and check that you get the 5x5 identity matrix, (please use BLAS HERK function to do so) and (2) compute Q'*A and check that you have the 5x5 upper triangular matrix R (as returned by QR). In your case you should see that the last 3 rows of R are all zeros, which indicates that the last three columns of A are linear combinations of the first two. To compute Q'*A, you can use BLAS GEMM.

            I took your input A and your output Q from LAPACK and I checked for you that Q'*Q is identity and Q'*R is upper triangular with last three rows being fully zeros. So the Q output from LAPACK looks good to me. Yes, this Q is different from what is returned by another implementation and this is entirely possible.

            In general we check the quality of a QR factorization by checking that: (1) || A - QR || / || A || is small, (2) || I - Q^T Q || is small, and R is upper triangular. (Take any norm that is easy to compute.)

            Checking that two codes return the same output is not a good idea. Since there is not unicity of the output Q and R for two reasons: (1) when A is rank deficient, see the example that you give for example; (2) for any j, any column scaling with a complex number of modulus 1 for the j-th column of Q is possible as long as you scale the j-th row of R accordingly. This changes the Q and R factors but there are still valid Q and R factors.

            In addition, assume that you force all diagonal elements of R to be real nonnegative, (by rescaling columns of Q and columns of R appropriately,) and that A is full rank, then you would expect unicity of Q and R. However checking that the pair (Q,R) is close to another one is related to the condition number of computing Q and R for a QR factorization and so you can see pairs that are far apart (forward error), even though they have a good backward error quality.



            What purpose is the lookup table serving in this code?
            Asked 2022-Jan-18 at 20:01

            Below I have adapted code from William Kahan and K.C. Ng (look at the comment block on the bottom) written in 1986 to produce an approximation of 1 / sqrt(x) where x is an IEEE-754 double precision floating point number. It is this code that Cleve Moler and Greg Walsh adapted to become the "fast inverse square root" made famous by Quake III.



            Answered 2022-Jan-18 at 20:01
            xi = *(unsigned long long int*)&x;



            Python docker container not building
            Asked 2021-Dec-29 at 22:46

            I have a repo which runs python on a docker container. Recently I have a purchased a new mac, and on this new workstation, this container is not building successfully when I try to open it with remote-container plug in from VS code.



            Answered 2021-Dec-29 at 22:46

            Reconsider your third-party dependency version-selection.

            Docker Base Image

            FROM python:3.8.3-buster

            is Python 3.8

            Dependency: Scipy

            scipy 1.3.3 (released 2019!!!) doesn't support Python 3.8



            pip unable to install Scipy (or anything) (Python 3.10)
            Asked 2021-Dec-27 at 02:10

            I've been trying to download a lib called simpful. But I was just about start to python and I think I am missing something very basic. I searched for some sort of solution online for so long nothing worked for me yet. I haven't downloaded anything with pip before.pip version is 21.3 and python 3.10. I know its just and error log but perhaps someone could recognize it.



            Answered 2021-Oct-21 at 10:28

            down to the very bottom of the stack error:



            What I'm doing wrong while installing scipy using pip3 on Mac
            Asked 2021-Nov-17 at 14:52

            Facing following issue while installing scipy 1.2.1



            Answered 2021-Nov-17 at 14:46

            it seems your pip aversion in mac is too old, you need to upgrade pip first



            Can't install Matplotlib on Python 3.10 after its release (2021-10-05)
            Asked 2021-Nov-06 at 23:20

            After the release of Python 3.10, I reinstalled my modules for the newest version and I'm getting some trouble. First of all I tried to pip Numpy as it's the required one for matplotlib. But I got this problem:



            Answered 2021-Nov-06 at 23:20

            As others have stated, Python 3.10 is not currently compatible with Matplotlib. You need to install and use Python 3.9 until it is supported. Until then you have a few options:


            You can use the Python Launcher for Windows (py.exe) script to choose which Python version to run like so:

            py.exe script help: py -h

            List all installed versions py -0

            Use a specified version py -3.9

            e.g. 1 Create a virtual environment using python 3.9 py -3.9 venv .venv

            e.g. 2 install matplotlib with pip using python 3.9 py -3.9 -m pip install matplotlib


            On Linux you can run whatever Python version you like like so:


            You can set up a local (your working directory and all sub-directories) virtual environment that will use your specified version like so:

            python3.9 -m venv .venv

            Which will set the version of python used to 3.9 while in the local directory, and allow you to type python instead of python3.9 each time you need it.

            Another relevant and helpful post by Rotareti here.

            Please note that I have not described how to activate and use Python Virtual Environments here in detail, for more information on using them read the python docs.

            Reference this answer if you're interested in installing a matplotlib release candidate.



            Error installing scipy in Python 3.10 on Windows10
            Asked 2021-Nov-03 at 16:07

            I have install Python 3.10 on Windows 10.

            Then I installed numpy and matplotlib without problem.

            But when I try to install scipy, I get a ton of errors.

            The install sequence is below.

            Is this related to needing MKL/BLAS libraries? If so, what should I install?



            Answered 2021-Oct-31 at 13:24

            In scipy's PyPI page, it looks like scipy doesn't support 3.10 as the meta says



            Matplotlib Installation issues with Python 3.10
            Asked 2021-Oct-26 at 16:49

            First, I do not believe this is a duplicate post of matplotlib installation issue python 3 this issue is relevant to matplotlib and Python 3.10 which was just recently released.

            My Problem

            I am having issues installing matplotlib with Python 3.10. I did not have these issues Python 3.9.6. When installing matplotlib, I referenced the official instructions and I used the following command:

            • python -m pip install -U matplotlib

            Then I got this very long error message:



            Answered 2021-Oct-26 at 16:49

            Not totally sure, but I ran into the same issue. After some digging and testing I think I've found out that Matplotlib, and pylab aren't compatible with python3.10 yet. For the time being I've kept python3.9 along with 3.10 so whenever I use matplotlib, numpy, or pylab, I just use version 3.9.


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


            No vulnerabilities reported

            Install netlib

            You can install using 'pip install netlib' or download it from GitHub, PyPI.
            You can use netlib like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            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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            pip install netlib

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            gh repo clone mitmproxy/netlib

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