semvec/pypi-packages huggingface dataset:
boto3-pydantic-databrew 1.0.2
Pydantic models for AWS Databrew
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, databrew

# boto3-pydantic-databrew

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Databrew.
boto3-pydantic-customer-profiles 1.0.2
Pydantic models for AWS Customer_profiles
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, customer_profiles

# boto3-pydantic-customer_profiles

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Customer_profiles.
boto3-pydantic-cur 1.0.2
Pydantic models for AWS Cur
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, cur

# boto3-pydantic-cur

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Cur.
boto3-pydantic-cost-optimization-hub 1.0.2
Pydantic models for AWS Cost_optimization_hub
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, cost_optimization_hub

# boto3-pydantic-cost_optimization_hub

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Cost_optimization_hub.
boto3-pydantic-controltower 1.0.2
Pydantic models for AWS Controltower
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, controltower

# boto3-pydantic-controltower

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Controltower.
boto3-pydantic-controlcatalog 1.0.2
Pydantic models for AWS Controlcatalog
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, controlcatalog

# boto3-pydantic-controlcatalog

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Controlcatalog.
panda-utils 1.6.5
PandaUtils includes multiple tools for basic Panda3D automation
Requires Python: >=3.9

# Panda3D Utils v1.6
 
Panda Utils is a set of Python scripts meant to help various projects
running on the game engine [Panda3D](https://panda3d.org).
It includes tools for manual use, as well as a full-fledged asset
importing pipeline. It also includes an implementation of Egg Syntax Tree,
which can be used programmatically in some scenarios.

## Installation
* Install Python 3.9 or above
* `pip install panda_utils`
* This package includes a number of optional dependencies:
  * `pip install panda_utils[imagery]` to enable the Downscale module
  * `pip install panda_utils[autopath]` to automatically download P3D
  * `pip install panda_utils[runnable]` to enable the CLI runner
    * Requires a settings file to be used that way, see: `config_example.ini`
      in this repository
  * `pip install panda_utils[pipeline]` to enable the Pipeline runner
    * Requires Blender to be in the system PATH to run
  * `pip install panda_utils[composer]` to use the Composer tool
    used for Pipeline automation
    * Requires `pipeline` and has the same requirements for Blender
  * `pip install panda_utils[everything]` to include all of the above

## Some of the features
* Automated asset pipeline, allowing to build BAM model files from input
  FBX or BLEND models adding optimizations and modifying them on the fly
* A tool to easily rescale and palettize all images in a folder
* Bam2Egg converter that does not suck
* A tool to export toon model and fix most issues arising from that
* Fast and flexible implementation of the Egg Syntax Tree

## Documentation

See here: [Documentation](https://panda-utils.readthedocs.io/en/latest/)
boto3-pydantic-connectparticipant 1.0.2
Pydantic models for AWS Connectparticipant
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, connectparticipant

# boto3-pydantic-connectparticipant

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Connectparticipant.
boto3-pydantic-connectcases 1.0.2
Pydantic models for AWS Connectcases
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, connectcases

# boto3-pydantic-connectcases

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Connectcases.
boto3-pydantic-connectcampaignsv2 1.0.2
Pydantic models for AWS Connectcampaignsv2
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, connectcampaignsv2

# boto3-pydantic-connectcampaignsv2

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Connectcampaignsv2.
boto3-pydantic-connectcampaigns 1.0.2
Pydantic models for AWS Connectcampaigns
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, connectcampaigns

# boto3-pydantic-connectcampaigns

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Connectcampaigns.
boto3-pydantic-connect-contact-lens 1.0.2
Pydantic models for AWS Connect_contact_lens
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, connect_contact_lens

# boto3-pydantic-connect_contact_lens

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Connect_contact_lens.
boto3-pydantic-connect 1.0.2
Pydantic models for AWS Connect
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, connect

# boto3-pydantic-connect

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Connect.
boto3-pydantic-config 1.0.2
Pydantic models for AWS Config
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, config

# boto3-pydantic-config

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Config.
CircuitNotionAI 0.1.4
A Python client for the CircuitNotion AI API
Requires Python: >=3.7

# CircuitNotionAI

A Python client for the CircuitNotion AI API.

## Installation

```bash
pip install CircuitNotionAI
```

## Usage

```python
from CircuitNotionAI import CNAI

# Initialize client
client = CNAI.Client(api_key="your_api_key")

# Generate content
response = client.models.generate_content(
    model="circuit-2-turbo",
    contents="explain simply how to beat procrastination",
    temperature=0.7,
    max_tokens=200
)
print(response.txt)
```

## License

MIT License
```

3. Move your existing code:
- Move CircuitNotionAI.py into the CircuitNotionAI directory and rename it to `__init__.py`

4. Create a build and upload to PyPI:
```bash
python -m pip install --upgrade build
```
```bash
python -m build
```
```bash
python -m pip install --upgrade twine
```
```bash
python -m twine upload dist/*
```

When running the final upload command, you'll need to enter your PyPI username and password.

5. Additional files you might want to add:
```markdown:CircuitNotionAI-package/LICENSE
MIT License

Copyright (c) 2025 CircuitNotionAI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions...
```

The directory structure should look like this:
```
CircuitNotionAI-package/
├── CircuitNotionAI/
│   └── __init__.py
├── tests/
├── setup.py
├── README.md
└── LICENSE
```

After uploading, users can install your package using:
```bash
pip install CircuitNotionAI
boto3-pydantic-compute-optimizer 1.0.2
Pydantic models for AWS Compute_optimizer
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, compute_optimizer

# boto3-pydantic-compute_optimizer

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Compute_optimizer.
boto3-pydantic-comprehendmedical 1.0.2
Pydantic models for AWS Comprehendmedical
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, comprehendmedical

# boto3-pydantic-comprehendmedical

This package was automatically generated by aws-resource-validator repository.

For more information, visit:
- Package homepage: https://coreoxide.github.io/aws_resource_validator/
- GitHub repository: https://github.com/CoreOxide/aws_resource_validator
- PyPI project: https://pypi.org/project/aws-resource-validator/

Pydantic models for AWS Comprehendmedical.