semvec/pypi-packages huggingface dataset:
project-perseo 0.0.2
Personal Semantic Objects
License: MIT
Keywords: Semantics,RDF,FAIR,EJP

# PERSEO

### **Personal Semantics Objects**

<hr>

####  Unique identifier generator:

Milisecond timestamp for CSV spreadsheets

[Documentation here](https://github.com/pabloalarconm/PERSEO/tree/main/perseo)

<hr>

#### NT to TTL transformation

RDF data transformation from N-Triples representation to Turtle

[Documentation here](https://github.com/pabloalarconm/PERSEO/tree/main/perseo)
mongodm 0.1.5rc0
Simple ODM for MongoDB
License: MIT
Requires Python: >=3.9,<4.0
Keywords: odm,mongo,mongodb

<h1 align="center">MongoDM</h1>

<p align="center">
    <em>MongoDM is simple ODM for MongoDB based on Pymongo & Pydantic</em>
</p>

## Requirements

Python 3.7+

## Installation

```bash
pip install mongodm
```
UtfN 1.0.1
UNIX time from NTP or short UtfN is a simple CLI tool to set the time from an NTP-Server.
License: MIT
Requires Python: >=3

# UNIX :watch: from NTP

**UNIX time from NTP** or short **UtfN** is a simple CLI tool to set the time from an NTP-Server.

* Sets time and date using the `date` command present in **all UNIX based systems** like **Ubuntu Linux**, **Manjaro** or **FreeBSD**
* **NTP-Server** can be **specified** using a **CLI-argument**
* **Timezone** can be specified using a **CLI-argument**

## Links
* [GitHub](https://github.com/datalexum/UNIX-time-from-NTP)
* [PyPI](https://pypi.org/project/UtfN/)

# How it works

1. UtfN requests the UTC time and date from the default or specified NTP-Server.
2. UtfN calculates local time and date
3. UtfN uses the date command to set the time and date

# Usage

Execute the utfn from command line and add needed arguments.

## Installation

UtfN can be installt from pip (recommandet):

```
python3 -m pip install -U utfn
```

If you want to run the latest version of the code, you can install from git:

```
python3 -m pip install -U git+git://github.com/datalexum/UNIX-time-from-NTP.git
```
## Arguments

| Longform | Shortform |           Description          |      Optional      |    Default   |
|:--------:|:---------:|:------------------------------:|:------------------:|:------------:|
|   help   |     h     | Display help for the arguments | :heavy_check_mark: |     False    |
|  server  |     s     | Provide a specific NTP-Server  | :heavy_check_mark: | pool.ntp.org |
| timezone |     z     | Timezone as a offset from UTC  | :heavy_check_mark: |       0      |

## Errors

There can be two different types of errors.

1. **Connection Error**: It is not possible to connect to the NTP-Server. This can happen if there is no internet connection or the NTP-Server is not available.
2. **Permission Error**: It is not possible to set the date on this system. It is likely that the user has no permission to set the date. Try using a user with higher permissions or add sudo before the command.

## Examples

In the below example utfn is executed with the default NTP-Server and an UTC-offset of 1 to match CET (UTC+1) for the local time in my country.

```
utfn -z 1
```

If everything works as expected the set time is outputed:

```
Time set to 2 JAN 2022 14:32:17
```
ebankoff-scraper 1.0.6
scraper, created by ebankoff
License: MIT
Requires Python: >=3.5

# [![image](https://i.ibb.co/MsKdDL4/Comp-1-00000.png)](https://t.me/cozyyrooom)
# proxy and user agent scraper🔎

[![Button](https://badgen.net/badge/ebankoff/ebankoff/red?icon=github&label)](https://github.com/ebankoff) [![Button](https://badgen.net/badge/telegram/telegram/yellow?icon=telegram&label)](https://t.me/cozyyrooom) [![Tweet](https://img.shields.io/twitter/url/http/shields.io.svg?style=social)](https://twitter.com/intent/tweet?text=Get%20over%20170%20free%20design%20blocks%20based%20on%20Bootstrap%204&url=https://www.froala.com/design-blocks&via=froala&hashtags=bootstrap,design,templates,blocks,developers)

# EN

# 📌 Installation and run

* 1 way
  * git clone https://github.com/ebankoff/scraper
  * cd scraper
  * python3 scraper.py
* 2 way
  * pip install ebankoff-scraper
  * scraper

* Required pip libraries (pip install library name)
  * lxml
  * beautifulsoup4
  * bs4
  * progressbar
  * colorama

* Check installed libraries
  * pip list

# 📌 Problems and their solutions

If you see something like this:

![image](https://i.ibb.co/XWNtL0S/Screenshot-1.png "no module named") 

This means that you don't have the library that is specified in the error, in this case: "_ctypes". You need to enter in the terminal or cmd:

* pip install the name of the required library (example: pip install _ctypes)

# 📌 Donate for coffee

[![wtf2](https://i.ibb.co/ryDytyR/Comp-1-00000.png)](https://qiwi.com/n/HERAMANT)

* **Payeer: P1063409412**
* **Smart chain: 0x96a0B6E4274771D5f3F8e59564b58C35D74D8Cc1**
* **Bitcoin: bc1qxfvstf99kyuc5x5uugxtsh3m6w3a73ruzfav7e**
* **Ethereum: 0x96a0B6E4274771D5f3F8e59564b58C35D74D8Cc1**

# RU

# 📌 Установка и запуск

* 1 путь
  * git clone https://github.com/ebankoff/scraper
  * cd scraper
  * python3 scraper.py
* 2 путь
  * pip install ebankoff-scraper
  * scraper

* Необходимые библиотеки pip (pip install library name)
  * lxml
  * beautifulsoup4
  * bs4
  * progressbar
  * colorama

* Проверить установленные библиотеки pip
  * pip list

# 📌 Проблемы и их решения

Если у вас похожая ошибка:

![wtf4](https://i.ibb.co/XWNtL0S/Screenshot-1.png "no module named") 

Это озночает, что у вас отсутствует нужная библиотека pip, в этом случае: "_ctypes". Откройте терминал, cmd или что там у вас и пишите:

* pip install имя отсутствующей библиотеки (пример: pip install _ctypes)

# 📌 Автору на кофе

[![wtf2](https://i.ibb.co/ryDytyR/Comp-1-00000.png)](https://qiwi.com/n/HERAMANT)

* **Payeer: P1063409412**
* **Smart chain: 0x96a0B6E4274771D5f3F8e59564b58C35D74D8Cc1**
* **Bitcoin: bc1qxfvstf99kyuc5x5uugxtsh3m6w3a73ruzfav7e**
* **Ethereum: 0x96a0B6E4274771D5f3F8e59564b58C35D74D8Cc1**
alwakeupword 1.0.0
alwakeupword explicitly request the attention of a computer using a wake up word and also allows user to make dataset and train a model of their own wake up word.
License: MIT

# alwakeupword
alwakeupword explicitly request the attention of a computer using a wake up word and also allows user to train model of their own wake up word.


## Installation
You can install alwakeupword from [PyPI](https://pypi.org/project/alwakeupword/):
```pip install alwakeupword```.

The alwakeupword supports Python 3.6 and above.


## Usage

### Step 1: ```AlWakeUpWordDataPreparation.py```
Following query on command line will help you to create a dataset for your own wake up word:
#### For recording wake up word
```
alwakeupword -c makeData -r recordAudio -rad "./audio" -n 200
```
Note: Here, -rad and -n are set to default values of ./audio in alwakeupword package path and 200 respectively.
#### For recording background audio
```
alwakeupword -c makeData -r recordBackgroundAudio -rbad "./backgroundAudio" -n 200
```
Note: Here, -rbad and -n are set to default values of ./backgroundAudio in alwakeupword package path and 200 respectively.

### Step 2: ```AlWakeUpWordDataPreprocessing.py```
Following query on command line will help you to preprocess the dataset you have created:
```
alwakeupword -c processData -rad "./audio" -rbad "./backgroundAudio"
```
Note: Here, -rad and -rbad are set to default values of ./audio and ./backgroundAudio in alwakeupword package path respectively.

### Step 3: ```AlWakeUpWordTrainer.py```
Following query on command line will help you to train the preprocess data and to create a model:
```
alwakeupword -c trainData -mp "./savedModel/model.h5"
```
Note: Here, -mp is set to default value of ./savedModel/model.h5 in alwakeupword package path.

### Step 4: ```AlWakeUpWordPrediction.py```
Following query on command line will help you to predict the accuracy of model and to detect if word is wake up word or not:
```
alwakeupword -c predictWord -mp "./savedModel/model.h5"
```
Note: Here, -mp is set to default value of ./savedModel/model.h5 in alwakeupword package path.

### Step 5: ```AlWakeUpWord.py```
Following example.py will show you how to use wakeUpWord() function from AlWakeUpWord.py file to your scripts:
```
"""
# example.py
from alwakeupword.AlWakeUpWord import wakeUpWord

modelPath = '{Path of your wake up  word model}'
while True:
    wakeUpWord(modelPath)
    print('Wake up word detected')
"""
"""
Output: When you run the file it will wait for your response. When you utter the wake up word then only 'Wake up word detected' will be printed in the console. 
"""
```
Note: Here, if you saved your model in the default path while training data then you don't have to give modelPath parameter to wakeUpWord() function as it is already set to default path.


## License
&copy; 2022 Alankar Singh

This repository is licensed under the MIT license. See LICENSE for details.