semvec/pypi-packages huggingface dataset:
flake8-type-annotations 0.1.0
Flake8 plugin to enforce consistent type annotation styles
License: MIT
Requires Python: >=3.6,<4.0
Keywords: flake8,flake8-plugin,linting,linter,wemake.services,code quality

# flake8-type-annotations

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This tool is used to validate type annotations syntax
as it was [originally proposed](https://github.com/PyCQA/pycodestyle/issues/357)
by [Guido van Rossum](https://github.com/gvanrossum).

## Installation

```bash
pip install flake8-type-annotations
```

## Code example

```python
# Consistency with this plugin:
def function(param=0, other: int = 0) -> int:
    return param + other


# Possible errors without this plugin:
def function(param=0, other: int=0)->int:
    return param + other
```

## Error codes

| Error code |                          Description                          |
|:----------:|:-------------------------------------------------------------:|
|    T800    | Missing spaces between parameter annotation and default value |
|    T801    | Missing spaces in return type annotation                      |

## License

MIT.
sensorhandler 0.1.3
Multipurpose sensorhandler, read the value from source & do somethings (send, save, trigger, ...) with it, as configed.
License: MIT
Keywords: testing,logging,example

# sensorhandler
Multipurpose sensorhandler, read the value from source & do somethings (send, save, trigger, ...) with it, as configed.

## install

```bash:
pip install sensorhandler
```

## input
config.toml file on the current working directory. The contents of File is as follows:

```
[[sources]]
  name   = "dht22"
  errorhandler = "errorhandler"
  [[sources.values]]
    name = "temp"
    handlers = [
      "send"#import os, "save"
    ]
  [[sources.values]]
    name = "humidity"
    handlers = [
      "send"#, "save"
    ]
  [[sources.values]]
    name = "humiditydeficit"
    handlers = [
      "send"#, "save"
    ]


[[sources]]
  name   = "mh-z19"
  [[sources.values]]
    name = "co2"
    handlers = [
      "send", "save"
  ]
```

The array of table ***sources*** is the array of data source sensor definition, consist of followings:

- name: Sensor handler's name. The same name python file (with ".py" extention) will be dinamically imported and function ***read()*** on the imported module will be called. The return value of read() is expecte as a dictionally as key of value name and value like:
``` {'humiditydeficit': '15.9', 'temp': 26.8, 'humidity': 37.6}```

- values: handler difitition for each value, corresponding to the key of the dictionally of the return value of read() function.
  - name: value name
  
  - handlers: Value handler's name. The same name python file (with ".py" extention) will be dinamically imported and function ***handle(data_source_name, data_name, value):*** will be called with the Sensor handler's name, value name, and sensor value.
  
- errorhandler: Error handler's name. The same name python file (with ".py" extention) will be dinamically imported for error handling of Sensor value reading. Currently, just stab.

## How to use 
### as python program.

```bash:
python -m sensorhandler [--config config_file_path] [--imppath python_module_import_path] [ --list_imppath list_of_python_module_import_path]
```
In case no --config, "config.toml" on the running path is used.
The path specified by --imppath and --list_imppath is used ad additional Python import library path.

### as python library.

```python:
import sensorhandler

print (sensorhandler.read(config_file_path))
```

### history
- 0.1.1  2018.09.28  first version confirmed Raspberry Pi model B2+
- 0.1.2  2018.09.29  add config_file_path
- 0.1.3  2018.09.29  add --config, --imppath, --list_imppath
tsumiki 0.0.3
tsumiki is a markup language to process multiple columns.
License: MIT
Requires Python: >=3.6

=======
tsumiki
=======

tsumiki is a markup language to process multiple columns.

* Write with Markdown and HTML mixdely.  
* Can lay out in multiple columns.

Install
=======

.. code-block:: bash

   pip install tsumiki

Usage
=====

via the command line
--------------------

.. code-block:: bash

   tsumiki source [target]

with Jupyter Notebook
---------------------

* `Tutorial <http://nbviewer.jupyter.org/github/drillan/tsumiki/blob/master/examples/Tutorial.ipynb>`_
* `With Jinja2 <http://nbviewer.jupyter.org/github/drillan/tsumiki/blob/master/examples/jinja2_template.ipynb>`_
texion 0.1.0
pytorch and scikit-learn based text classification library
License: MIT
Keywords: pytorch,text,text classification,NLP,scikit-learn,sklearn,machine learning,deep learning

# texion

-----

**Table of Contents**

* [Installation](#installation)
* [License](#license)

## Installation

texion is distributed on [PyPI](https://pypi.org) as a universal
wheel and is available on Linux/macOS and Windows and supports
Python 3.6+.

```bash
$ pip install texion
```

## License

texion is distributed under the terms of the
[MIT License](https://choosealicense.com/licenses/mit).