semvec/pypi-packages huggingface dataset:
autocash 0.3
AutoCash payments gateway lib
License: MIT
Requires Python: >=3.6

# AutoCash
[PyPI 0.1](https://pypi.org/project/autocash/0.1/)

مكتبة `AutoCash` مكتبة استلام مدفوعات تلقائى فى مصر و العراق .

## المتطلبات

- Python 3.6 أو أحدث
- مكتبة `requests`

## التثبيت

لتثبيت المكتبة، استخدم الأمر التالي:

```bash
pip install autocash
```

## طريقة الاستخدام

```python

from autocash import AutoCash

# تهيئة المكتبة مع user_id و panel_id
user_id = "YOUR_USER_ID"
panel_id = "YOUR_PANEL_ID"
autocash = AutoCash(user_id, panel_id)

# إنشاء رابط دفع
payment_link = autocash.create_payment_link(extra="username")
print("Payment Link:", payment_link)

# إنشاء رابط دفع ل Payeer
payeer_link = autocash.create_payeer_payment_link(amount=100, callback_link="https://yourcallback.url")
print("Payeer Payment Link:", payeer_link)

# إنشاء رابط دفع ل OKX
okx_link = autocash.create_okx_payment_link(amount=100, extra="username")
print("OKX Payment Link:", okx_link)

# إنشاء رابط دفع ل Binance
binance_link = autocash.create_binance_payment_link(amount=100, extra="username")
print("Binance Payment Link:", binance_link)

# إحضار بيانات العملية
status = autocash.get_payment_status(key="معرف العملية")

#تكون status من نوع dict و تحتوى على بيانات كالمثال التالى :
"""status = {
"amount":"5.00",
"category":"VF-Cash",
"date":"Thu Nov 30 14:43:41 GMT+02:00 2023",
"id":"004952323000",
"phone":"01234567890",
"taken":true,
"user":"uSQ5ho94PQ4a4GreG"
}"""


# التحقق من عملية دفع تلقائيا
check = autocash.check_payment(phone="1234567890", amount=100)

# التحقق من عملية دفع تلقائيا OKX
check = autocash.check_okx_payment(amount=100, txid="معرف العملية", extra="username")

# التحقق من عملية دفع تلقائيا Binance
check = autocash.check_binance_payment(amount=100, txid="معرف العملية", extra="username")


#تكون check من نوع dict و تحتوى على بيانات كالمثال التالى :
"""check = {
"status":true,
"message":"تم إكمال عملية الدفع بنجاح بمبلغ 60 جنية .",
"key": "معرف العملية"
}"""

# الحصول على معلومات لوحة تحكم
info = autocash.get_info()
print("number:", info["number"])
print("rate:", info["rate"])
print("currency:", info["currency"])

# إنشاء رابط إعادة توجيه لاخفاء بيانات رابط الدفع
redirect_link = autocash.redirect(payment_link)
print("Redirect Link:", redirect_link)

```
orange3-regressionwidgets 0.1.7
Orange add-on with regression summary and backward elimination widgets
License: MIT
Requires Python: >=3.8

# Orange3 Regression Widgets

This add-on extends [Orange3](https://orangedatamining.com/) with two powerful regression tools tailored for business analysts, data scientists, and educators:

- **Regression Summary**: Provides detailed regression output using `statsmodels` for OLS and Logit models.
- **Backward Elimination**: Stepwise feature selection based on p-value or AIC, with support for both model types.

---

## Installation

To install from PyPI:

```bash
pip install orange3-regression-widgets

---

## Project Link
**Source**: [GitHub Repository](https://github.com/laurentpauwels/orange3-regressionwidgets)
bgzip 0.5.1
Utilities working with blocked gzip streams.
License: MIT

# bgzip: block gzip streams
_bgzip_ provides streams for block gzip files.

Cython is used under the hood to bypass Python's GIL and provide fast, parallelized inflation/deflation.

```
with open("my_bgzipped_file.gz", "rb") as raw:
	with bgzip.BGZipReader(raw) as fh:
		data = fh.read(number_of_bytes)

with open("my_bgzipped_file.gz", "wb") as raw:
	with bgzip.BGZipWriter(raw) as fh:
		fh.write(my_data)
```

## Installation

```
pip install bgzip
```

#### Requirements
bgzip requires [openmp](https://github.com/llvm/llvm-project/tree/master/openmp). On MacOS
it can be installed with:
```
brew install llvm
```

## Links
Project home page [GitHub](https://github.com/DataBiosphere/bgzip)  
Package distribution [PyPI](https://pypi.org/project/bgzip/)

### Bugs
Please report bugs, issues, feature requests, etc. on [GitHub](https://github.com/DataBiosphere/bgzip).

![](https://travis-ci.org/DataBiosphere/bgzip.svg?branch=master) ![](https://badge.fury.io/py/bgzip.svg)

## Credits
getm was created by [Brian Hannafious](https://github.com/xbrianh) at the
[UCSC Genomics Institute](https://ucscgenomics.soe.ucsc.edu/).