semvec/pypi-packages huggingface dataset:
flamapy-dn 1.1.6
This repo host the dependency network model concrete classes
Requires Python: >=3.10

# Dependency Network Metamodel

[![PyPI](https://img.shields.io/pypi/v/flamapy-dn)](https://pypi.org/project/flamapy-dn/) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/flamapy-dn) [![GitHub](https://img.shields.io/github/license/GermanMT/dependency_network_metamodel?logo=gnu)](https://github.com/GermanMT/dependency_network_metamodel/blob/main/LICENSE.md)

This repo host the dependency network model concrete classes and the transformation that allow to create this model from a dictionary.
sujuster 1.1.0
The SUbtitle adJUSTER - adjust offsets of a .srt subtitle file
Keywords: subtitles srt script

The SUbtitle adJUSTER
=====================

If you have an .srt subtitle file which JUST WON'T FIT, then you can adjust
the timings using the sujuster.

Sorry for the bad name, I have a real skill of picking really really bad names
for projects.

1.1.0
-----

- if we move subtitles up (i.e. show earlier), skip indexes which would be "below 0"


1.0.3
-----

- update package categories in PyPI


1.0.2 & 1.0.1
-------------

- change executable name to "sujust" as intended originally
- took more than one try. it's late.


1.0.0
-----

- first release, just working with absolutely no frills and nothing special.
yext 0.6.8
Yext API Client for Python
Requires Python: >=3.7

# Yext API Client for Python
This library contains utilities for interacting with the Yext API in Python.

## 💡 Getting Started

First, install Yext Python API Client via the [pip](https://pip.pypa.io/en/stable/installing) package manager:
```bash
pip install --upgrade 'yext'
```

Then, create entities in your Knowledge Graph:
```python
from yext import YextClient

client = YextClient('<your_api_key>')
profile = {
    'meta': {
        'id': 'entity_id',
        'countryCode': 'US'
    },
    'name': 'What is Yext Answers?',
    'answer': 'A revolutionary search product.'
}
entity_type = 'faq'

client.create_entity(entity_type, profile)
```
deepconsensus 1.2.0
DeepConsensus
Requires Python: >=3.6
Keywords: bioinformatics

# Important: Pip install is different for CPU versus GPU

If you're on a GPU machine:

```bash
pip install deepconsensus[gpu]==1.2.0
# To make sure the `deepconsensus` CLI works, set the PATH:
export PATH="/home/${USER}/.local/bin:${PATH}"
```

If you're on a CPU machine:

```bash
pip install deepconsensus[cpu]==1.2.0
# To make sure the `deepconsensus` CLI works, set the PATH:
export PATH="/home/${USER}/.local/bin:${PATH}"
```

## Documentation, quick start, citation

All other documentation is on GitHub: [https://github.com/google/deepconsensus](https://github.com/google/deepconsensus).