semvec/pypi-packages huggingface dataset:
ai-pose-generator-4 1767000.119.247
High-quality integration for https://supermaker.ai/image/ai-pose-generator/
Requires Python: >=3.6

# ai-pose-generator-4

Professional integration for [https://supermaker.ai/image/ai-pose-generator/](https://supermaker.ai/image/ai-pose-generator/).

## Installation

pip install ai-pose-generator-4

## Usage

from ai_pose_generator_4 import get_url

# Get target URL
url = get_url()

## License

MIT
sqlquerypp 0.1.0a5
SQL query preprocessor for generating optimized queries
Requires Python: >=3.9

# sqlquerypp: SQL query preprocessor

`sqlquerypp` is a library for preprocessing SQL queries. Main purpose
is writing highly optimized queries with a simplified syntax, allowing
for both maintainability and high performance.

## Limitations

Currently, only MySQL 8.4 syntax is supported.

## Why preprocess SQL queries?

SQL (Structed Query Language) follows a declarative paradigm, i.e. a query
explains "what should be done" not "how should it be done". This stands in
contrast to imperative programming, which expresses the "how should a
certain task be fulfilled" aspect.

Database systems' internals are responsible for maintaining this aspect.
However, for certain and large data structures, writing down "naive"
queries sometimes result in poor performance.

## Supported performance optimizations

### Combined `UNION` queries

Consider the following original query:

  ```sql
  SELECT entity_b.*
  FROM entity_b
  INNER JOIN entity_a
    ON entity_a.id = entity_b.entity_a_id
    AND entity_a.criteria = 1337;
  ```

This is a very simplified example, but if you assume `entity_b` contains
a multitude of items, even correct index conditions may exhaust any DBMS' join buffer.

If network overhead is acceptable, a fitting alternative approach could
be a loop on the application side (Python pseudocode):

  ```python
  all_matches_in_entity_b = []
  for entity_a_id in [rec.id
                      for rec in mysql_query("SELECT id FROM entity_a "
                                             "WHERE criteria = 1337")]:
      inner_result = mysql_query("SELECT * FROM entity_b "
                                 f"WHERE entity_a_id = {entity_a_id}")
      all_matches_in_entity_b += inner_result
  ```

The following statement, which is invalid SQL, translates to a MySQL
native construct of `Recursive Common Table Expression` and `UNION`
fragments when compiled by `sqlquerypp`. This allows for maximal
query performance, because the inner query with reduced complexity
is still taken into account. At the same time, it grants minimal I/O
overhead as only one query is executed on the database:

  ```text
  combined_result (SELECT id FROM entity_a WHERE criteria = 1337) AS $id {
      SELECT * FROM entity_b WHERE entity_a_id = $id;
  }
  ```
chemistryai 0.2.4
chemistry library tailored for iit-jee
Requires Python: >=3.9

# ChemistryAi

Github

- https://github.com/infinity390/chemistryai

ChemistryAi is a simple Python library for:

- Parsing SMILES strings into graph structures.
- Generating IUPAC names for monocyclic and acyclic compounds with functional groups
- Visualizing molecules with RDKit.
- Comparing stability and acidic strength of compounds

## Installation

```bash
pip install chemistryai
ai-pose-generator-3 1766999.123.877
High-quality integration for https://supermaker.ai/image/ai-pose-generator/
Requires Python: >=3.6

# ai-pose-generator-3

`ai-pose-generator-3` is a Python library designed to showcase and simplify interaction with the AI pose generation capabilities available through SuperMaker. This package automates common tasks, allowing developers to easily integrate AI-generated poses into their projects.

## Installation

You can install `ai-pose-generator-3` using pip:
bash
pip install ai-pose-generator-3

## Basic Usage

Here are a few examples demonstrating how to use `ai-pose-generator-3`:

**1. Generating a Simple Pose:**

This example demonstrates generating a basic standing pose.
python
from ai_pose_generator_3 import PoseGenerator

generator = PoseGenerator()
pose_data = generator.generate_pose(prompt="standing person")

# pose_data will contain the generated pose information (e.g., JSON format)
print(pose_data)

# You can then process the pose_data to render the pose in your application.

**2. Generating a Pose with Specific Attributes:**

This example shows how to generate a pose with specific attributes like gender and clothing.
python
from ai_pose_generator_3 import PoseGenerator

generator = PoseGenerator()
pose_data = generator.generate_pose(prompt="a woman wearing a red dress, dancing")

# pose_data will contain the generated pose information
print(pose_data)

**3. Generating Multiple Poses:**

This example demonstrates generating multiple poses with a single request.
python
from ai_pose_generator_3 import PoseGenerator

generator = PoseGenerator()
poses = generator.generate_multiple_poses(prompt="two people sitting at a table", num_poses=2)

for pose_data in poses:
    print(pose_data)

**4. Generating a Pose with Camera Angle Specifications:**

This example demonstrates generating a pose with a specific camera angle.
python
from ai_pose_generator_3 import PoseGenerator

generator = PoseGenerator()
pose_data = generator.generate_pose(prompt="person looking up at the sky, low angle shot")

print(pose_data)

**5. Generating a Pose for Character Animation:**

This example demonstrates generating a pose useful for character animation, focusing on a specific action.
python
from ai_pose_generator_3 import PoseGenerator

generator = PoseGenerator()
pose_data = generator.generate_pose(prompt="character jumping in the air, action pose")

print(pose_data)

## Features

*   **Simplified Pose Generation:** Easily generate AI-driven poses with descriptive prompts.
*   **Multiple Pose Generation:** Generate multiple poses with a single function call.
*   **Customizable Prompts:** Fine-tune pose generation using detailed prompts to specify desired attributes.
*   **Easy Integration:** Seamlessly integrate generated pose data into various applications and workflows.
*   **Abstraction Layer:** Provides a higher-level interface to the underlying AI pose generation service.

## License

MIT License

This project is a gateway to the ai-pose-generator-3 ecosystem. For advanced features and full capabilities, please visit: https://supermaker.ai/image/ai-pose-generator/