semvec/pypi-packages huggingface dataset:
shapes-recognition 3.2.0
"shapes-recognition" is a test for a new recognition technology
License: MIT
Requires Python: >=3.11,<4.0

## SHAPES RECOGNITION
**shapes recognition** is a New Recognition Technology

### Installation
```
pip install shapes-recognition
```
### About "shapes-recognition"
Recognition is an intrinsic property of the human intellect. Kids around two years old recognize shapes even if they differ in size and position or are severely deformed. 

<p align="center"><img src="https://boriskravtsov.com/pypi/shapes.png"/>

To simulate such recognition capability, we introduce the **shapes-recognition** library.

[Here](https://kravtsov-development.medium.com/amazing-ai-tables-44af52c993a2) 
we show how to use it.
harlequin_postgres 0.1.1
A Harlequin adapter for <my favorite database>.
License: MIT
Requires Python: >=3.8.1,<4.0

# harlequin-postgres

This repo provides the Harlequin adapter for Postgres.

## Installation

`harlequin-postgres` depends on `harlequin`, so installing this package will also install Harlequin.

### Using pip

To install this adapter into an activated virtual environment:
```bash
pip install harlequin-postgres
```

### Using poetry

```bash
poetry add harlequin-postgres
```

### Using pipx

If you do not already have Harlequin installed:

```bash
pip install harlequin-postgres
```

If you would like to add the Postgres adapter to an existing Harlequin installation:

```bash
pipx inject harlequin harlequin-postgres
```

### As an Extra
Alternatively, you can install Harlequin with the `postgres` extra:

```bash
pip install harlequin[postgres]
```

```bash
poetry add harlequin[postgres]
```

```bash
pipx install harlequin[postgres]
```

## Usage and Configuration

You can open Harlequin with the Postgres adapter by selecting it with the `-a` option and passing a [Posgres DSN](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING):

```bash
harlequin -a postgres "postgres://my-user:my-pass@localhost:5432/my-database"
```

You can also pass all or parts of the connection string as separate options. The following is equivalent to the above DSN:

```bash
harlequin -a postgres -h localhost -p 5432 -U my-user --password my-pass -d my-database
```

Many more options are available; to see the full list, run:

```bash
harlequin --help
```

For more information, see the [Harlequin Docs](https://harlequin.sh/docs/postgres/index).