semvec/pypi-packages huggingface dataset:
pybackoff 0.0.7
a small c++ optimized implementation of the Stupid Backoff language model for python.
License: MIT

## pybackoff

<b>pybackoff</b> is a small c++ optimized implementation of the <i>Stupid Backoff</i> language model for python.
<b>pybackoff</b> uses this language model in combination with 64-bit FNV-1 hash (Fowler-Noll-Vo) for high speed and performance on extremely large datasets.

### Installation
```cmd
$ pip install pybackoff
```

### Example
```python
from pybackoff import SBModel, Ngrams

# get trigram counts and fnv1 hash from corpus
n = Ngrams()
n.load('./data/gutenberg.DAT')

# score trigrams
model = SBModel(n.counts(), n.size())
model.score([('
', '
', 'this'), ('
', 'this', 'is'), ('this', 'is', 'an'), ('is', 'an', 'example')])
```
robot-tesults 1.2.0
Tesults listener for Robot Framework
License: MIT
Requires Python: >=2.7
Keywords: robot framework tesults test results automation automated dashboard reporting plugin

==============
robot-tesults
==============

Tesults listener for Robot Framework

------------


Description
------------

Tesults is the new standard in automated test results consolidation, reporting, analysis, failure tracking, manual test reporting and test case management.

Use robot-tesults to automatically integrate Tesults with Robot Framework.

For complete details visit:

https://www.tesults.com/docs?doc=robot


Requirements
------------

The Tesults Python library is required. Install using pip from PyPI:

$ pip install tesults


Installation
------------

Install robot-tesults using pip from PyPI:

$ pip install robot-tesults


Usage
-----

Visit https://www.tesults.com/docs?doc=robot for documentation.


License
-------

Distributed under the terms of the MIT license, "robot-tesults" is free and open source software


Issues
------

If you encounter any problems, please contact help@tesults.com or visit https://www.tesults.com/contact