semvec/pypi-packages huggingface dataset:
codestare-msg-compiler 0.0.7.dev0
"Distutils / Setuptools package to automatically compile and process protobuf files."
Requires Python: >=3.7
Keywords: protobuf,proto-plus

# codestare-msg-compiler
Setuptools plugin used to generate flexible protobuf message python bindings.

> Documentation can be found at https://codestare-msg-compiler.readthedocs.io/en/latest/

MIT License

Copyright (c) 2021 Maximilian Schmidt

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 above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
stringly 1.0b3
Stringly: Human Readable Object Serialization
Requires Python: >=3.7

Stringly: Human Readable Object Serialization
=============================================

Stringly aims to facilitate foreign function calls into Python by providing
human readable serialization and de-serialization of arbitrary Python objects.

Stringly is similar to Python's pickle protocol in that the serialized form
follows directly from class introspection. This as opposed to serialization
technologies such as JSON and YAML, which are self contained but support only a
predefined set of data types. Similar to those technologies, however, and
unlike pickle, the resulting strings are human readible and human writable.

A typical use case of stringly is as part of a command line parser, using the
stringly representation to instantiate objects direcly from the command line.

Example
-------

Stringly requires [type hints](https://docs.python.org/3/library/typing.html)
to infer object types. Since these are getting more and more common, chances
are that stringly will work directly out of the box. In case extra work is
required, the reward is double as this effort should also benefit static type
checkers such as [mypy](http://www.mypy-lang.org/).

The following is an example of a class that is suitable for stringlification:

    >>> import typing, dataclasses, stringly
    >>>
    >>> @dataclasses.dataclass
    ... class A:
    ...   name: str
    ...   data: typing.Dict[str,int]

Objects are serialized using `stringly.dumps`:

    >>> a = A('hi', {'foo': 1, 'bar': 2})
    >>> stringly.dumps(A, a)
    # 'name=hi,data={foo=1,bar=2}'

Objects are de-serialized using `stringly.loads`:

    >>> a = stringly.loads(A, 'name=bye,data={baz=3}')
    >>> a.name
    # 'bye'
    >>> a.data
    # {'baz': 3}
codestare-proto-plus 0.0.6.dev1
"Protoc plugin to compile proto plus python classes"
Requires Python: >=3.7
Keywords: protobuf,proto-plus

Plugin to generate proto-plus classes with protoc compiler.

Available plugin parameters [flags]:

* readable_imports  — import in the style "from ... import ..."
* relative_imports  — use relative imports instead of absolute
* generate_inits    — generate __init__.py files, always uses readable_imports to avoid circular imports
* quiet             — don't print compiler output

Available plugin parameters [keywords]:

* save_request — saves input as .json and binary file with specified name
* package — use this string as name for the __package__ module attributes

Example::

    protoc --proto-plus_out=generate_inits,relative_imports,readable_imports,package=mypackage,save_request=test_request:./output_dir schema.proto



MIT License
Copyright (c) 2021, Maximilian Schmidt

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 above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
pylogus 0.1.0
Simple log format and other stuff
Requires Python: >=3.7

# pylogus

Formatted log for python

Usage example:

```python
import logging

from pylogus import logger_init

log = logger_init(__name__, logging.DEBUG)

def example():
    log.info("This is a info msg")
    log.debug("This is a debug msg")
    log.warning("This is a warning msg")
    log.error("This is a error msg")

if __name__ == "__main__":
    example()
```