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

# boto3-pydantic-datazone

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 Datazone.
pyven 116
Manage development of multiple Python projects

# pyven
Manage development of multiple Python projects.

## Commands

### minreqs
Pin requires to their minimum allowed versions.

### pipify
Generate setuptools files for a project.arid project.

### release
Release project to PyPI, with manylinux wheels as needed.

### tasks
Show all XXX/TODO/FIXME comments in project.

### tests
Run project unit tests and more, also suitable for CI.

### tryinstall
Check last release can be installed from PyPI and its tests still pass, for use by CI.
boto3-pydantic-datasync 1.0.2
Pydantic models for AWS Datasync
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, datasync

# boto3-pydantic-datasync

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 Datasync.
Concern 35
Control pym2149 (via Lurlene) or FoxDot using Vim

# Concern
Control pym2149 (via Lurlene) or FoxDot using Vim.

## Install
These are generic installation instructions.

### To use, disposably
Install the current release from PyPI to a virtual environment:
```
python3 -m venv venvname
venvname/bin/pip install -U pip
venvname/bin/pip install Concern
. venvname/bin/activate
```
You will also need one of the following backends.

#### FoxDot backend
```
# Simply install, and Concern will use it:
venvname/bin/pip install FoxDot
```

#### pym2149 backend
```
# Install as usual:
venvname/bin/pip install pym2149

# Tell Concern to use it instead of foxdot:
echo Concern consumerName = pym2149 | tee -a ~/.settings.arid
```

### To use, permanently
```
# Tested on Linux and Mac:
pip3 install --break-system-packages --user Concern
```
To add a backend, substitute `pip3 install --user` for `venvname/bin/pip install` above.
See `~/.local/bin` for executables.

### To develop
First install venvpool to get the `motivate` command:
```
pip3 install --break-system-packages --user venvpool
```
Get codebase and install executables:
```
git clone git@github.com:combatopera/Concern.git
motivate Concern
```
Requirements will be satisfied just in time, using sibling projects with matching .egg-info if any.

## Commands

### Concern
Vim-based live coding environment.

## Usage

### FoxDot
```
# Any arguments are passed to vim, here we discover the FoxDot demo directory:
Concern "$(venvname/bin/python -c 'from pkg_resources import resource_filename; print(resource_filename("FoxDot", "demo"))' | tail -1)"
```
* FoxDot is running in the right hand third of the screen
* Send code to FoxDot by typing backslash followed by `]`
    * This will send the smallest top-level suite under the cursor
    * The backslash is actually your Vim leader key
* Use visual mode to send multiple top-level suites at once
* Use backslash enter instead of backslash `]` to send from cursor to the end of the file
* Use backslash `q` to quit all of Vim, FoxDot and GNU Screen

### pym2149
```
# Download some files to play with:
git clone git@github.com:combatopera/pym2149.git

# Load a non-trivial tune written in the Lurlene live coding language:
Concern 'pym2149/contrib/Lemmings 2 Tune 6.py'
```
* Once pym2149 has initialised, type backslash enter at the top of the file to send the whole program
boto3-pydantic-datapipeline 1.0.2
Pydantic models for AWS Datapipeline
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, datapipeline

# boto3-pydantic-datapipeline

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 Datapipeline.
boto3-pydantic-dataexchange 1.0.2
Pydantic models for AWS Dataexchange
Requires Python: <4.0,>=3.9
Keywords: aws, boto3, pydantic, models, dataexchange

# boto3-pydantic-dataexchange

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 Dataexchange.