semvec/pypi-packages huggingface dataset:
zombie-squirrel 0.10.4
Generated from aind-library-template
License: MIT
Requires Python: >=3.10

# ZOMBIE Squirrel

[![License](https://img.shields.io/badge/license-MIT-brightgreen)](LICENSE)
![Code Style](https://img.shields.io/badge/code%20style-black-black)
[![semantic-release: angular](https://img.shields.io/badge/semantic--release-angular-e10079?logo=semantic-release)](https://github.com/semantic-release/semantic-release)
![Interrogate](https://img.shields.io/badge/interrogate-100.0%25-brightgreen)
![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen)
![Python](https://img.shields.io/badge/python->=3.10-blue?logo=python)

<img src="zombie-squirrel_logo.png" width="400" alt="Logo (image from ChatGPT)">

`zombie-squirrel` is a set of one-line functions that handle the entire process of caching and retrieving data (and metadata) from AIND data assets.

In the background, the ZOMBIE squirrel repackages data/metadata into dataframes and stores them on S3 in a flat bucket, or in memory for testing.

## Installation

```bash
pip install zombie-squirrel
```

## Usage

### Set backend

```bash
export FOREST_TYPE='S3'
```

Options are 'S3', 'MEMORY'.

### Scurry (fetch) data

```python
from zombie_squirrel import unique_project_names

project_names = unique_project_names()
```

| Function | Description | Parameters |
| -------- | ----------- | ---------- |
| `unique_project_names` | Fetch unique project names from docdb | |
| `unique_subject_ids` | Fetch unique subject IDs from docdb | |
| `asset_basics` | Fetch basic asset metadata including modalities, projects, and subject info | |
| `source_data` | Fetch source data references for derived records | |
| `raw_to_derived` | Fetch mapping of raw records to their derived records | |
| `qc` | Fetch QC dataframe for a single or multiple records | `str` or `list[str]` |

### Hide the acorns

```python
from zombie_squirrel.sync import hide_acorns
hide_acorns()
```
surety-diff 0.0.1
Contract-aware diff and comparison engine for Surety.
License: MIT
Requires Python: >=3.8
Keywords: diff, comparison, contract-testing, automation, surety

# Surety Diff

Contract-aware diff and comparison engine for the Surety ecosystem.

`surety-diff` provides structured, human-readable comparison
for contract-driven service testing.

It is designed to explain *why* data does not match a contract,
not just that it failed.


---

## Installation

```bash
pip install surety-diff