semvec/pypi-packages huggingface dataset:
dataclay 4.3.0
Python distributed data store that enables remotely access and method execution.
Requires Python: <3.13,>=3.9


<h1 align="center">

![dataClay](https://github.com/bsc-dom/dataclay/blob/main/docs/_static/dataclay-full.png)

</h1>

<p align="center">
  <a href="https://github.com/bsc-dom/dataclay/actions/workflows/tests.yml"><img alt="Tests" src="https://github.com/bsc-dom/dataclay/actions/workflows/tests.yml/badge.svg" /></a>
  <a href="https://dataclay.readthedocs.io/en/latest/?badge=latest"><img alt="Documentation Status" src="https://readthedocs.org/projects/dataclay/badge/?version=latest" /></a>
  <a href="https://pypi.org/project/dataclay/"><img alt="PyPI - Status" src="https://img.shields.io/pypi/status/dataclay" /></a>
  <a href="https://pypi.org/project/dataclay/"><img alt="PyPI - Format" src="https://img.shields.io/pypi/format/dataclay" /></a>
  <a href="https://github.com/bsc-dom/dataclay/blob/main/LICENSE.txt"><img alt="License" src="https://img.shields.io/github/license/bsc-dom/dataclay" /></a>
  <a href="https://badge.fury.io/py/dataclay"><img src="https://badge.fury.io/py/dataclay.svg" alt="PyPI version" height="18"></a>
  <a href="https://pepy.tech/project/dataclay"><img alt="Pypi Downloads" src="https://pepy.tech/badge/dataclay" /></a>
</p>

dataClay is a distributed data store that enables applications to store and access objects in the same format they have in memory, and executes object methods within the data store. These two main features accelerate both the development of applications and their execution.

## Installation

To install dataClay, you can use [pip](https://pip.pypa.io):

```bash
pip install dataclay
```

Alternatively, you can obtain the latest source code from [GitHub](https://github.com/bsc-dom/dataclay):

```bash
git clone https://github.com/bsc-dom/dataclay.git
cd dataclay
pip install .
```

## Documentation

dataClay has usage and reference documentation at [dataclay.readthedocs.io](https://dataclay.readthedocs.io/en/latest/)

## Contributing

We welcome contributions to dataClay. Please see the [Contributing](https://dataclay.readthedocs.io/en/latest/contributing.html) for more details.

## Maintainers

- [@alexbarcelo](https://github.com/alexbarcelo) (Alex Barcelo)
- [@aqueralt](https://github.com/aqueralt) (Anna Queralt)
- [@marcmonfort](https://github.com/marcmonfort) (Marc Monfort)
- [@Canicula98](https://github.com/Canicula98) (David Cano)

## Other resources

[BSC official website](https://www.bsc.es/dataclay)

## Acknolwedgments

See the [full list of acknowledgments](ACKNOWLEDGMENTS.md)
pipton 2.0.0
A custom language with Persian-flavored syntax and full Python power
Requires Python: >=3.6

# PiptonLang - Documentation / مستندات زبان پیپتون

---

## 🇮🇷 مستندات زبان برنامه‌نویسی پیپتون

### مقدمه:

Pipton یک زبان برنامه‌نویسی تفسیری (Interpreter Based) است که با استفاده از پایتون ساخته شده و سینتکسی ساده، روان، و شبیه به زبان‌های سطح بالا دارد. این زبان با هدف آموزش آسان، توسعه سریع، و کدنویسی شخصی‌سازی‌شده طراحی شده است.

---

### 🎯 اهداف زبان:

* ساده‌سازی آموزش برنامه‌نویسی برای مبتدیان
* نزدیک بودن سینتکس به تفکر منطقی فارسی و انگلیسی
* اجرای سریع و آسان کدها در محیط ترمینال
* توسعه‌پذیری بالا با قابلیت افزودن ماژول‌ها

---

### 📌 ساختار دستورات زبان Pipton:

```pipton
var name = entry("نام شما: ")
print>>"سلام " + name

var x = 10
while x < 13 {
    print>>x
    x = x + 1
}

for i in range(0, 3) {
    print>>i
}

fun greet(n) {
    print>>"سلام " + n
}
greet("پایتون")

class A {
    def __init__(self) {
        print>>"کلاس مقداردهی شد"
    }
}

import time
print>>time.ctime()
```

---

### 🧠 دستورها و قواعد:

#### 1. تعریف متغیر:

```pipton
var x = 5
```

#### 2. حلقه‌ها:

```pipton
while x < 10 {
    print>>x
    x = x + 1
}

for i in range(0, 5) {
    print>>i
}
```

#### 3. تابع:

```pipton
fun hello(name) {
    print>>"Hello " + name
}
hello("Amir")
```

#### 4. کلاس:

```pipton
class A {
    def __init__(self) {
        print>>"Init"
    }
}
```

#### 5. دریافت ورودی:

```pipton
var name = entry("Your name: ")
```

#### 6. چاپ خروجی:

```kod
print>>"Welcome to Pipton!"
```

#### 7. وارد کردن کتابخانه‌های پایتون:

```pipton
import math
print>>math.sqrt(25)
```

---

## 🇬🇧 PiptonLang Documentation

### Introduction:

Pipton is a lightweight interpreted language designed for simplicity and readability. It is powered by Python and supports a custom Persian-English hybrid syntax to make it intuitive for Persian speakers.

---

### 🎯 Language Goals:

* Beginner-friendly structure
* Customizable syntax
* Support for Python libraries
* Terminal-based execution

---

### 📌 Syntax Highlights:

```pipton
var name = entry("Your name: ")
print>>"Hello " + name

var x = 10
while x < 13 {
    print>>x
    x = x + 1
}

for i in range(0, 3) {
    print>>i
}

fun greet(n) {
    print>>"Hi " + n
}
greet("Pipton")

class A {
    def __init__(self) {
        print>>"Class initialized"
    }
}

import time
print>>time.ctime()
```

---

### 🔧 How to Use Pipton:

1. Install locally:

```bash
pip install .
```

2. Run a file:

```bash
pipton examples/test.pipton


```
## 📂 اجرای فایل‌ها

برای اجرای فایل‌های زبان **Pipton** با پسوند `.piton` یا `.pipton` از دستورات زیر استفاده کنید:

```bash
python -m pipton.run_pipton test.piton
easy-requests 1.1.2
A Python library for simplified HTTP requests, featuring rate limiting, browser-like headers, and automatic retries. Built on the official `requests` library for reliability.
Requires Python: >=3.10

# Easy-Requests

![publishing workflow](https://github.com/hazel-noack/easy-requests/actions/workflows/python-publish.yml/badge.svg)

A Python library for simplified HTTP requests, featuring rate limiting, browser-like headers, and automatic retries. Built on the official `requests` library for reliability.

## Features

- Save responses to cache
- Use any session (e.g., bypass Cloudflare using [cloudscraper](https://pypi.org/project/cloudscraper/))
- Configurable wait between requests without thread blocking
- Automatic retries for failed requests

```bash
pip install easy-requests
```

## Usage

### Basic Usage

```python
from easy_requests import Connection, init_cache
 
init_cache(".cache")

connection = Connection()
# to generate headers that mimic the browser
connection.generate_headers()

response = connection.get("https://example.com")
```

### Using with Cloudscraper

```python
from easy_requests import Connection
import cloudscraper

connection = Connection(cloudscraper.create_scraper())
response = connection.get("https://example.com")
```

### Configuring cache

This won't use caching without you configuring it. 

You can configure the default cache either with environment variables or using `init_cache`. The env keys are `EASY_REQUESTS_CACHE_DIR` and `EASY_REQUESTS_CACHE_EXPIRES` (in days).

```py
from easy_requests import init_cache

init_cache(".cache")
```

Alternatively you can pass arguments into `Connection(...)` and the request function:

- `cache_enabled: Optional[bool]`
- `cache_directory: Optional[str]`
- `cache_expires_after: Optional[timedelta]`

```py
from easy_requests import Connection

Connection(
    cache_enabled = True
)
```

If you pass in `cache_enabled=True` it will raise a Value error if no cache directory was found.
modly 0.1.0
Signed provenance receipts for LLM calls with policies and drift checks
Requires Python: >=3.10

# receiptkit

Signed, policy-evaluated receipts for LLM calls. Privacy-preserving (hashes only), tamper-evident (HMAC), and CI-friendly.

## Quick start
```python
from receiptkit import ReceiptManager

rm = ReceiptManager(enabled=True, receipts_dir="receipts", policies_path="policies.yaml")
# Call your LLM...
rm.write_receipt(
  model="your-model",
  params={"temperature": 0.2},
  prompt_text="...",
  response_text="...",
  latency_ms=120,
  context_key="feature-name"
)
```

## Policies
Define guardrails in policies.yaml (PII, jailbreak, citation, topics). Receipts include pass/fail per rule.

## Signing
Set RECEIPT_SECRET to add an HMAC signature to each receipt.