semvec/pypi-packages huggingface dataset:
peaklets 0.0.0
Decompose a 1D positive signal using only positive basis functions
Requires Python: >=3.7

# peaklets
[![tests](https://github.com/Kankelborg-Group/peaklets/actions/workflows/tests.yml/badge.svg)](https://github.com/Kankelborg-Group/peaklets/actions/workflows/tests.yml)
[![codecov](https://codecov.io/gh/Kankelborg-Group/peaklets/branch/main/graph/badge.svg?token=trmIiTT3iL)](https://codecov.io/gh/Kankelborg-Group/peaklets)
[![Documentation Status](https://readthedocs.org/projects/peaklets/badge/?version=latest)](https://peaklets.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/peaklets.svg)](https://badge.fury.io/py/peaklets)

Decompose a 1D positive signal using only positive basis functions.

## Installation

`peaklets` can be installed using `pip` in the usual manner
```bash
pip install peaklets
```
git-init-repo 1.0.2
A Python script to initialize a git repository.

# Repo init tool
Provides a Python Package to easliy initiate git repos for Python

## Installation
```bash
pip install git-init-repo
```

## Usage
```bash
python -m git_init_repo <language> [-vs] [-d <directory>] [-f <filename>]
```

- Option `-f` can be used to change the name of the `.gitignore` file if required.
- Option `-d` can be used to change the name of the directory in which the repo is to be initialized.
- Option `-vs` can be used to automatically configure VS Code tasks for the repo.

All language supported for `.gitignore` are the ones that can be requested from [gitignore.io](https://gitignore.io/).
Otherwise, only Python is supported for VS Code tasks.

## Contribution
Feel free to open an issue or a pull request if you want to contribute to this project.
If you can, please fork the project and make your changes in a separate branch before opening a pull request.
SentiLEYE 0.1
A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral

Hello, you are welcome to SentiLEYE classifier

A sentiment lexicon algorithm to classify pidgin English and English text into positive, negative or neutral


To use this system, you can enter raw text or your document in a csv file format (for example, data.csv). You need to name the column as 'text'. 
The system creates new column for score and class.  You should expect the output as shown below. 

            text     score     class
the bank is good      2       positive


### How to use the packages

from sentileye import result
pyrclonetest 0.0.7
A package that provides a wrapper for RClone
Requires Python: >=3.6

# PyRCLONE
A Python wrapper for rclone.

No need to install rclone separately as it is already included in this package. The binary file for version v1.62.2 is available for different operating systems including Windows, Mac, and Linux, as well as arch with amd64 and x86_64.

## Install
```python
pip install pyrclonetest
```

## Usage
```python
from pyrclone.rclone_wrapper import RCloneWrapper


config = {
    "remote_name": {
        'type': 'google cloud storage',
        'project_number': "project_number",
        'service_account_file': "path/to/service_account_file.json",
        'object_acl': 'private',
        'bucket_acl': 'private',
        'location': 'us',
        'storage_class': 'STANDARD'
    }
}
rclone = RCloneWrapper(config)
result = rclone.listremotes()
print(result.get('out'))
# b'remote_name:\n'
print(result.get('code'))
# 0
print(result.get('error'))
# b''
```

###  Implemented commands:

* `copy`            Copy files from source to dest, skipping already copied
* `sync`            Make source and dest identical, modifying destination only.
* `listremotes`     List all the remotes in the config file.
* `ls`              List the objects in the path with size and path.
* `lsjson`          List directories and objects in the path in JSON format.
* `delete`          Remove the contents of path.

Even if not all `rclone` commands have been exposed, it's possible to invoke any command using `run_cmd` method directly, as shown in the example bellow:

```python
from pyrclone.rclone_wrapper import RCloneWrapper

config = {
    "local": {
        'type': 'local',
        'nounc': True,
    }
}
result = RCloneWrapper(config).run_cmd(command="lsd", extra_args=["local:/tmp", "-v", "--dry-run"])
```
### Logging and Debugging

To see more info about which commands are executed, or what other messages they print, you can enable logging as the example bellow shows:

```python
import logging
logging.basicConfig(
    level=logging.DEBUG,
    format="%(asctime)s %(name)s [%(levelname)s]: %(message)s")

from pyrclone.rclone_wrapper import RCloneWrapper

config = {
    "local": {
        'type': 'local',
        'nounc': True,
    }
}
rclone = RCloneWrapper(config)
result = rclone.listremotes()
```

## Limitation
Only support windows, mac and, linux operating system and arch with amd64 and x86_64.

windwos: amd64

linux: amd64, x86_64

darwin(mac): amd64, x86_64

## Developer guide

```bash
$ pip install wheel twine pytest
$ make test
```

## Reference
https://github.com/ddragosd/python-rclone (base on this project and improve it)
aics-pipeline-uploaders 1.2.0
This package contains resources for uploading pipeline data to FMS
Requires Python: >=3.9.2

# aics_pipeline_uploaders

[![Build Status](https://github.com/BrianWhitneyAI/aics_pipeline_uploaders/workflows/Build%20Main/badge.svg)](https://github.com/BrianWhitneyAI/aics_pipeline_uploaders/actions)
[![Documentation](https://github.com/BrianWhitneyAI/aics_pipeline_uploaders/workflows/Documentation/badge.svg)](https://BrianWhitneyAI.github.io/aics_pipeline_uploaders/)
[![Code Coverage](https://codecov.io/gh/BrianWhitneyAI/aics_pipeline_uploaders/branch/main/graph/badge.svg)](https://codecov.io/gh/BrianWhitneyAI/aics_pipeline_uploaders)

This package contains resources for uploading pipeline data to FMS

aics_pipeline_uploaders==1.2.0
---
## Features

-   Store values and retain the prior value in memory
-   ... some other functionality

## Installation

**Stable Release:** `pip install aics_pipeline_uploaders`<br>
**Development Head:** `pip install git+https://github.com/BrianWhitneyAI/aics_pipeline_uploaders.git`

## Documentation

For full package documentation please visit [BrianWhitneyAI.github.io/aics_pipeline_uploaders](https://BrianWhitneyAI.github.io/aics_pipeline_uploaders).

## Development

See [CONTRIBUTING.md](CONTRIBUTING.md) for information related to developing the code.

## The Four Commands You Need To Know

1. `make install`

    This will setup a virtual environment local to this project and install all of the
    project's dependencies into it. The virtual env will be located in `camera-alignment-core/venv`.

2. `make test`, `make fmt`, `make lint`, `make type-check`, `make import-sort`

    Quality assurance

3. `pip install -e .[dev]`

    This will install your package in editable mode with all the required development
    dependencies.

4. `make clean`

    This will clean up various Python and build generated files so that you can ensure
    that you are working in a clean workspace.



#### Suggested Git Branch Strategy

1. `main` is for the most up-to-date development, very rarely should you directly
   commit to this branch. GitHub Actions will run on every push and on a CRON to this
   branch but still recommended to commit to your development branches and make pull
   requests to main. If you push a tagged commit with bumpversion, this will also release to PyPI.
2. Your day-to-day work should exist on branches separate from `main`. Even if it is
   just yourself working on the repository, make a PR from your working branch to `main`
   so that you can ensure your commits don't break the development head. GitHub Actions
   will run on every push to any branch or any pull request from any branch to any other
   branch.
3. It is recommended to use "Squash and Merge" commits when committing PR's. It makes
   each set of changes to `main` atomic and as a side effect naturally encourages small
   well defined PR's.
xia-token-flask 0.1.14
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-token-flask.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-token-flask/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install
xia-synchronizer 0.0.4
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-synchronizer.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-synchronizer/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install
xia-storer-gcs 0.0.4
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-storer-gcs.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-storer-gcs/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install xia-storer-gcs
xia-sso-flask 0.1.21
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-sso-flask.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-sso-flask/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install
xia-storer 0.1.2
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-storer.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-storer/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install xia-storer
xia-service-cloudflare 0.0.4
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-service-cloudflare.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-service-cloudflare/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install
xia-service 0.0.4
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-service.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-service/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install
netfema-branding 5.3.0
NETwork Front End Management System - Bootstrap5 Base Files, and SCSS Pipeline
Requires Python: >=3.8,<4.0

# NetFEMA Bootstrap Assets

This repository contains the assets for the NetFEMA Bootstrap theme. The theme is based on the [Bootstrap](http://getbootstrap.com/) framework.

Base Bootstrap Toolkit: Version 5.3.0
Bootstrap Icons: Version 1.10.5
xia-pusher-flask 0.0.10
X-I-A
Requires Python: >=3.9

.. image:: https://img.shields.io/pypi/v/xia-pusher-flask.svg?color=blue
   :alt: PyPI-Server
   :target: https://pypi.org/project/xia-pusher-flask/

====================================
X-I-A
====================================



Quick start
=============================

Install the package::

    pip install