semvec/pypi-packages huggingface dataset:
signway-sdk 0.1.3
Create signed URLs for Signway
Requires Python: >=3.9,<4.0

# Signway Python SDK

Generate signed urls for [Signway](https://github.com/gabotechs/signway), so that they can be
used in client-side code.

# Install

```shell
pip install signway-sdk
```

# Usage

```shell
from signway_sdk import sign_url

sign_url(
    id="my-id",
    secret="my-secret",
    host="https://api.signway.io",
    proxy_url="https://api.openai.com/v1/chat/completions",
    expiry=10,
    method="POST"
)
```
thoth-doc 0.0.91
Dependency-free, lightweight docstring parser
Requires Python: >=3.7

# Thoth doc: Dependency-free, lightweight docstring parser
![Thoth image](Thoth.svg.png)


## Installation
```bash
pip install thoth-doc
```

## Usage
```python
# code.py

def foo(bar: int, baz: str = "qux") -> None:
    """This is a docstring"""
    pass


class Foo:
    """This is a class docstring"""

    def bar(self, bar: int, baz: str = "qux") -> None:
        """This is a method docstring"""
        pass
```


```python
from thoth_doc import get_docstring

docstring = get_docstring("code.py", "foo")  # find docstring of foo in code.py
print(docstring)  # "This is a docstring"

docstring = get_docstring("code.py", "Foo")  # find docstring of Foo class in code.py
docstring = get_docstring("code.py", "Foo.bar")  # find docstring of Foo.bar method in code.py
```


## License
[MIT License](LICENSE)
mir-ml-utils 0.0.13
Various utilities for machine learning training in Python 3. for the mir project
Requires Python: >=3.9



# mir-ml-utils

The ML engine for the mir (Marine Inspection by Remote) app.

## Install

You can install the utilities via ```pip```

```
pip install mir-ml-utils
```

For a specific version use

```
pip install mir-ml-utils==x.x.x
```

You can uninstall the project via

```
pip3 uninstall mir-ml-utils
```


## Dependencies

- PyTorch
- Numpy
- Pillow
- matplolib

- sphinx (if you want to build the documentation)

The project also gets benefited from <a href="https://pypi.org/project/easyfsl/">easyfsl</a> and
<a href="https://github.com/sicara/easy-few-shot-learning">easy-few-shot-learning</a>. However,
you don't need to install this as a fork is maintained within mir-engine

### Testing

There are additional dependencies if you want to run the tests

- pytest
- coverage
- flake8

In order to test locally, you can run the

```
local_test_pipeline.sh
```

The script first runs ```flake8``` and then ```pytest``` with coverage. Finally, it produces
a report ```coverage_report.txt```.

## Installation