semvec/pypi-packages huggingface dataset:
amzn-micro-coral 1.0.0
Minimal Coral interface for when you can't use a prepackaged client.
Requires Python: >=3.8,<4.0

# amzn-micro-coral

A minimalistic implementation of a Coral client, used mainly for
people who are working in contexts where they may not be able to
import Coral clients directly.

## Usage

Service calls are entirely unopinionated, so you better be good at
reading Coral client configs. A regular instantiation of the service
would be:

    from amzn_micro_coral import CoralService, CoralAuth

    my_service = CoralService(
        url="https://my-service.amazon.com",
        auth=CoralAuth.midway(sentry=False),
    )

    r = my_service.post("MyService.MyOperation", data={"param1": "value1"})
    result = r.json()

The client does do a basic level of error checking in case the Coral
service returns the standard error message in the form `{"__type":
"<message>"}`.

## Samples

This module also provides some very basic classes for interacting with
generic services:

    from amzn_micro_coral import crux

    r = crux.post(<...>)

Some may provide more features than others but have no guarantee of
always working into the future.
candor-test 1.1.5
Simple wrapper for the Candor API.

# candor.py

`candor.py` is an official API wrapper for Candor Service's API endpoints. It's modern, easy to use, feature-rich, and intuitive!

## Features

+ **Simple:** High-level abstraction of API interactions; easy to use and easy to customize.

+ **Lightweight:** Doesn't rely on any external dependencies, minimal package size.

+ **Extensive:** Covers all Candor related endpoints from the Candor Services API.

+ **Fast:** HTTP requests and object instancing optimized to use minimal resources and complete tasks quickly!

+ **Intuitive:** Complete auto-completion, docstrings, and type-hinting for all library objects and variables.

## Installation

`candor.py` requires Python 3.8 or higher.

|Manager     |Command                  |
|:----------:|:------------------------|
|PIP         |`pip install candor`   |

**Quickstart:**

```python
import candor

candor.verifyLicense()
```