# netlib | ️ This repository | Proxy library

## kandi X-RAY | netlib Summary

## kandi X-RAY | netlib Summary

🗃️ This repository has been integrated into mitmproxy/mitmproxy.

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### Top functions reviewed by kandi - BETA

Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of netlib

## netlib Key Features

## netlib Examples and Code Snippets

```
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.
Th
```

```
pip install --upgrade pip
```

```
pip install -U setuptools
```

```
pip intstall pipwin
pipwin install
```

```
out.write("{0:<20}".format("Netlib") + "{0:<20}".format("MKL")
```

```
out.write("{0:<20}".format("Netlib") + "{0:<20}".format("MKL"))
```

```
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
```

```
pip install D:\Users\\Downloads\numpy-1.19.2+mkl-cp39-cp39-win_amd64.whl
```

```
wget https://bootstrap.pypa.io/get-pip.py
./pypy get-pip.py
```

```
pypy -m pip install numpy
```

```
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
```

```
File->Settings->Project->Project Interpreter
```

## Community Discussions

Trending Discussions on netlib

QUESTION

I created an HTTP listener that accepts POST requests for files. I followed this template almost exactly: https://github.com/cpp-netlib/cpp-netlib/blob/main/libs/network/example/http/echo_async_server.cpp

I start my listener like so: `./build/http_listener 0.0.0.0 8000`

Then post file to the listener using curl: `curl --form "fileupload=@file1.txt" -X POST http://127.0.0.1:8000/`

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:

...ANSWER

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:

QUESTION

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 netLib.org, 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:

...ANSWER

Answered 2022-Feb-09 at 19:15Answering 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.

QUESTION

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?):

...ANSWER

Answered 2022-Jan-27 at 19:24The 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.

QUESTION

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.

...ANSWER

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

QUESTION

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.

...ANSWER

Answered 2021-Dec-29 at 22:46Reconsider your third-party dependency version-selection.

Docker Base ImageFROM python:3.8.3-buster

is Python 3.8

Dependency: Scipyscipy 1.3.3 (released 2019!!!) doesn't support Python 3.8

QUESTION

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.

...ANSWER

Answered 2021-Oct-21 at 10:28down to the very bottom of the stack error:

QUESTION

Facing following issue while installing scipy 1.2.1

...ANSWER

Answered 2021-Nov-17 at 14:46it seems your pip aversion in mac is too old, you need to upgrade pip first

QUESTION

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:

...ANSWER

Answered 2021-Nov-06 at 23:20As 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:

WindowsYou 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:

`python3.9`

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.

QUESTION

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?

...ANSWER

Answered 2021-Oct-31 at 13:24In scipy's PyPI page, it looks like scipy doesn't support 3.10 as the meta says

QUESTION

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.

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:

...ANSWER

Answered 2021-Oct-26 at 16:49Not 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

## Vulnerabilities

No vulnerabilities reported

## Install netlib

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.

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