semvec/pypi-packages huggingface dataset:
phargram 1.2
A telegram-bot-api library for python
Requires Python: >=3.6, <4
Keywords: telegram,bot,api,phargram,PharGram

# PharGram
```python
from phargram.main import Client
Client = Client("token")
Client.sendMessage({'chat_id':777000,'text':'<b>hello telegram</b>','parse_mode':'html'})
```
**coming soon ...!**# main
skyworker-diesel-price-arima 0.1.2
Skyworker AI Processor -- diesel price ARIMA
Requires Python: >=3.6

# Skyworker Processor: {processor_name}

Template repository for the Skyworker AI Processor

## Requirements

- `Python >= 3.6`
- `pip`
- `venv (recommended)`

## Usage

- Clone this repository
- Install Dev dependencies: `pip install -r requirements/dev.txt`
- Install pre-commit git hooks: `pre-commit install`
- Update todos in [setup.py](setup.py) file
- Update todos in [skyworker_processor/\_\_init\_\_.py](skyworker_processor/__init__.py) file
- Define your logic in [skyworker_processor/core/processor.py](skyworker_processor/core/processor.py) module's `process` function

The return value of `skyworker_processor.process()` function should be the `pandas.DataFrame` object with following columns:

- `measurement` - Measurement Name
- `value` - Calculated Value

and the index of each row should be the unique timestamp.

### Example

```python
import pandas as pd
from datetime import datetime

time_series = [
    {
        "timestamp": 1628150400,
        "measurement": "Electricity Price",
        "value": 0.23,
    },
    {
        "timestamp": 1628236800,
        "measurement": "Electricity Price",
        "value": 0.25,
    }
]

data_frame = pd.DataFrame(time_series)
# Set "timestamp" column as index.
data_frame.index = data_frame["timestamp"]
# Compose "time" column from the "timestamp"
data_frame["time"] = data_frame["timestamp"].map(datetime.fromtimestamp)
del data_frame["timestamp"]
```

## Package Readiness

Before publishing the package, you should check its readiness:

1. Check if processor and its config is ready
    ```shell
    $ pytest tests/test_readiness_*.py
    ````

1. Check if package is ready for publishing
    ```shell
    $ python setup.py check
    ````

## Build & Publish

Build and Publish is a part of the CI/CD pipeline, but you can publish your package manually:

1. Build the package
    ```shell
    $ python setup.py sdist
    ```

1. Publish the package
    ```shell
    $ twine upload dist/*
    ```

## Changelog

Please see [CHANGELOG](CHANGELOG.md) for details.

## Authors

- [Temuri Takalandze](https://abgeo.dev) - *Author and Maintainer*

## License

Copyright © 2021 [Omedia](https://omedia.dev).  
Released under the [Other/Proprietary License](LICENSE).
cropimage 0.0.6
A simple toolkit for detecting and cropping main body from pictures.

# cropimage

[![PyPI version](https://badge.fury.io/py/cropimage.svg)](https://badge.fury.io/py/cropimage) 

cropimage is a simple toolkit for image cropping. Different from other projects that mainly tackle face region, we extend to all kinds of images such as landscape. We support horizontal and portrait size and generate a square output.

<p align="center"><img title="crop_example" src="https://github.com/haofanwang/cropimage/raw/main/assets/example.png"></p>

## Installation
~~~sh
pip install cropimage
~~~

## Get Started
~~~python
from cropimage import Cropper

cropper = Cropper()

# Get a Numpy array of the cropped image
# Set completeness to be False if you expect the 'person' to be complete rather than 'face'
# Set target_size to be a tuple (size, size), only square output is supported now,
result = cropper.crop('./images/input.jpg')

# Save the cropped image
cv2.imwrite('cropped.jpg', result)
~~~

## More Results
<p align="center"><img title="crop_example" src="https://github.com/haofanwang/cropimage/raw/main/assets/example1.png"></p>

## Contributing
If you find any issue of this project, feel free to open an issue or contribute!
oneNeuron-pypi-amolbarwal 0.0.21
it is an implementation of single layer perceptron.
Requires Python: >=3.6

# oneNeuron_pypi


# Reference-
[Official python documentation](https://packaging.python.org/tutorials/packaging-projects/)

[github docs for github actions](https://docs.github.com/en/actions/guides/building-and-testing-python#publishing-to-package-registries)
concretefhe-common 0.0.10
Concrete common for the Concrete Framework
Requires Python: >=3.8

# concretefhe-common

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.common
concretefhe.common.hello_world()
```
concretefhe-utils 0.0.10
Concrete utils for the Concrete Framework
Requires Python: >=3.8

# concretefhe-utils

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.utils
concretefhe.utils.hello_world()
```
concretefhe-lib 0.0.10
Concrete lib for the Concrete Framework
Requires Python: >=3.8

# concretefhe-lib

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.lib
concretefhe.lib.hello_world()
```
concretefhe-hnp 0.0.10
Concrete hnp for the Concrete Framework
Requires Python: >=3.8

# concretefhe-hnp

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.hnp
concretefhe.hnp.hello_world()
```
concretefhe-hnumpy 0.0.10
Concrete hnumpy for the Concrete Framework
Requires Python: >=3.8

# concretefhe-hnumpy

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.hnumpy
concretefhe.hnumpy.hello_world()
```
concretefhe-numpy 0.0.10
Concrete numpy for the Concrete Framework
Requires Python: >=3.8

# concretefhe-numpy

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.numpy
concretefhe.numpy.hello_world()
```
concretefhe-compiler 0.0.10
Concrete compiler for the Concrete Framework
Requires Python: >=3.8

# concretefhe-compiler

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.compiler
concretefhe.compiler.hello_world()
```
concretefhe-backend 0.0.10
Concrete backend for the Concrete Framework
Requires Python: >=3.8

# concretefhe-backend

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.backend
concretefhe.backend.hello_world()
```
concretefhe-frontend 0.0.10
Concrete frontend for the Concrete Framework
Requires Python: >=3.8

# concretefhe-frontend

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concretefhe.frontend
concretefhe.frontend.hello_world()
```
cgtnfeed 0.0.1
A python package which collects informations from CGTN (China Global TV Network)
Requires Python: >=3.6

# cgtnfeed

A python package which collects information from CGTN (China Global TV Network)

## Background

CGTN is a international media from China. Their website is very slow. It is probably because the servers are in China,
there are a lot of animations on their website, and the size of the image is very large.

This project is a web scrapper that will collect important information from the website so we won't need to open the
website to get informations.

Currently this project collects the titles of the top news from CGTN. In the long run, I will add more data to collect
and then make the API.

## How to use

### Top News

The function `get_top_news()` returns a list of dictionary. The dictionary currently has 
three key-value pairs.
```
Key
----
title
time
category
```
Example code:
```
import cgtnfeed

top_news = cgtnfeed.get_top_news()

for news in top_news:
    print(news['title'])
```
This will print something like this:
```
Xi Jinping to attend UNGA General Debate via video link
Beijing hails 'advancement in quality of democracy' in Hong Kong
China launches Tianzhou-3 cargo spacecraft for space station mission
Chinese ambassador: U.S.-UK-Australia pact 'extremely irresponsible'
U.S. launches mass expulsion of Haitian migrants from Texas
```
concrete-common 0.0.10
Concrete common for the Concrete Framework
Requires Python: >=3.8

# concrete-common

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concrete.common
concrete.common.hello_world()
```
concrete-utils 0.0.10
Concrete utils for the Concrete Framework
Requires Python: >=3.8

# concrete-utils

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concrete.utils
concrete.utils.hello_world()
```
concrete-lib 0.0.10
Concrete lib for the Concrete Framework
Requires Python: >=3.8

# concrete-lib

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concrete.lib
concrete.lib.hello_world()
```
concrete-hnp 0.0.10
Concrete hnp for the Concrete Framework
Requires Python: >=3.8

# concrete-hnp

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concrete.hnp
concrete.hnp.hello_world()
```
concrete-hnumpy 0.0.10
Concrete hnumpy for the Concrete Framework
Requires Python: >=3.8

# concrete-hnumpy

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concrete.hnumpy
concrete.hnumpy.hello_world()
```
concrete-backend 0.0.10
Concrete backend for the Concrete Framework
Requires Python: >=3.8

# concrete-backend

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concrete.backend
concrete.backend.hello_world()
```
concrete-frontend 0.0.10
Concrete frontend for the Concrete Framework
Requires Python: >=3.8

# concrete-frontend

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package.

# Test

```python

import concrete.frontend
concrete.frontend.hello_world()
```