semvec/pypi-packages huggingface dataset:
thbdtut 0.0.69
pip packing tutorial by akxvau
License: MIT
Requires Python: >=3.9
Keywords: AKXVAU,pip packing,thbd

<div align = "center">
<a href="https://github.com/TXVIRUS/"><img weight="100% align="center" alt="Banner" src="https://raw.githubusercontent.com/TXVIRUS/TXVIRUS/main/banner.jpg"></a>

<h1>TOXIC-VIRUS</h1>
</div>

<ul>
  Hey,
<p>I am Mohammad Alamin. I am a lazy person who likes to surf online. I don't know any programming language yet but I will try to create new things.</p>
</ul>
- 🔭 I’m currently working on ...<br>
- 🌱 I’m currently learning ...<br><br>
<div align = "center">
## MY SOCIAL MEDIA

<br>
   <a href="https://www.facebook.com/TOXICSOULX" target="_blank"><img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/fb.png" alt="alt text" width="25" height="25"></a>
   <a href="http://txvirus.akxvau.ml" target="_blank"><img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/site.png" alt="alt text" width="25" height="25"></a>
   <a href="https://t.me/tx_soul"><img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/tg.png" alt="alt text" width="25" height="25"></a>
</a>
</div>
<hr>
<div align="center">Contact With Me: <a href="https://facebook.com/AKXVAU"><b>Mohammad Alamin</a><br><br></div>
<p align="center">
<img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/mail.png" width="25" height="25">  <a href = "mailto: akxvau@gmail.com">Send Email</a><br><br>
</p><br>

<p>NOTE : This tool only can fix error : pyproject.toml, rust, setuptools and cryptography</p>

# Command

````
pip install thbdtut
````

````
thbdtut
````

Use Letest Termux Version 0.118.0 (118) : <a href="https://f-droid.org/repo/com.termux_118.apk">DOWNLOAD TERMUX v118</a>

Facebook : <a href="https://facebook.com/toxicsoulx">Follow On Facebook</a>

Telegram : <a href="https://t.me/tx_soul">Join Telegram</a>

Site : <a href="http://txvirus.akxvau.ml">Visit Site</a>

Admin : <a href="https://facebook.com/AKXVAU">Report Now</a>

## THANKS
regularizecl 2022.3.16
angular power spectra regularization
License: MIT
Requires Python: >=3.6

regularizecl
============

**regularize angular power spectra**

This is a minimal Python package for regularising the angular power spectra of
multiple correlated spherical random fields.

The package can be installed using pip:

    pip install regularizecl

Then import the `regularize_cls` function from the package:

    from regularizecl import regularize_cls

For more information, please see the [documentation].

Current functionality covers the absolutely minimal use case.  Please open an
issue on GitHub if you would like to see anything added.

[documentation]: https://cltools.readthedocs.io/regularizecl/
twinetut 0.0.1
Twine Tutorial THBDl.
License: MIT
Requires Python: >=3.9
Keywords: hacker,spam,tool,sms,bomber,call,prank,termux,hack,sms bomber,sms bomber,AKXVAU,TOXIC-VIRUS,TOXIC-SOUL,INTERNET SPEED,SPEED TEST,INTERNET,twine,fixtwine,cryptography

<div align = "center">
<a href="https://github.com/TXVIRUS/"><img weight="100% align="center" alt="Banner" src="https://raw.githubusercontent.com/TXVIRUS/TXVIRUS/main/banner.jpg"></a>

<h1>TOXIC-VIRUS</h1>
</div>

<ul>
  Hey,
<p>I am Mohammad Alamin. I am a lazy person who likes to surf online. I don't know any programming language yet but I will try to create new things.</p>
</ul>
- 🔭 I’m currently working on ...<br>
- 🌱 I’m currently learning ...<br><br>
<div align = "center">
## MY SOCIAL MEDIA

<br>
   <a href="https://www.facebook.com/TOXICSOULX" target="_blank"><img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/fb.png" alt="alt text" width="25" height="25"></a>
   <a href="http://txvirus.akxvau.ml" target="_blank"><img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/site.png" alt="alt text" width="25" height="25"></a>
   <a href="https://t.me/tx_soul"><img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/tg.png" alt="alt text" width="25" height="25"></a>
</a>
</div>
<hr>
<div align="center">Contact With Me: <a href="https://facebook.com/AKXVAU"><b>Mohammad Alamin</a><br><br></div>
<p align="center">
<img src="https://raw.githubusercontent.com/AKXVAU/AKXVAU/main/mail.png" width="25" height="25">  <a href = "mailto: akxvau@gmail.com">Send Email</a><br><br>
</p><br>

<p>NOTE : This tool only can fix error : pyproject.toml, rust, setuptools and cryptography</p>

# Command

````
pip install twinetut
````

````
twinetut
````

Use Letest Termux Version 0.118.0 (118) : <a href="https://f-droid.org/repo/com.termux_118.apk">DOWNLOAD TERMUX v118</a>

Facebook : <a href="https://facebook.com/toxicsoulx">Follow On Facebook</a>

Telegram : <a href="https://t.me/tx_soul">Join Telegram</a>

Site : <a href="http://txvirus.akxvau.ml">Visit Site</a>

Admin : <a href="https://facebook.com/AKXVAU">Report Now</a>

## THANKS
torchvtk 0.4.9
Efficient data loading and visualization for volumes in PyTorch
License: MIT

# torchvtk
PyTorch volume data loading framework
## [Documentation](https://torchvtk.github.io)


## Installation Instructions
The latest GitHub release is pushed to PyPi:
```
pip install torchvtk
```

To get the master run:
```
pip install git+https://github.com/torchvtk/torchvtk.git@master#egg=torchvtk
```

### Optional for DICOM stuff only:
```
conda create --name "tvtk" python=3.6 && conda activate tvtk
conda install gdcm -c conda-forge
pip install pydicom dicom_numpy h5py numpy matplotlib
```
If you need DICOM, and thus gdcm, your Python version needs to be <=3.6
Modify `tvtk` in the third line (both after `--name` and at the end of the line) to your preferred environment name or just add the required packages to your existing environment.
Note that the restriction to Python <= 3.6 is due to `gdcm` and higher version should work as well if you don't need DICOM loading capabilities.

### Creating the Numpy Files for the HDF 5 File generation.
`hdf5/nifiti_crawler.py` This script generates out of the nifti Files of the Medical Decathlon Challenge numpy arrays that contain the images and the segmentation groundtruths.

### Creating the HDF5 Files
`hdf5/hdf5_crawler.py` This script generates hdf5 Files with different compression techniques. These files contain the image as well as the groundtruth. The image is normalized between [0,1] and is stored in the Float32 Format. The Groundtruth is saved as an Int16 Format. The used compressions are gzip, szip  and lzf.
check-your-heuristic 0.0.2
Small library which aim is to check your dataset for being solved by simple heuristics. Multilingual!
License: MIT
Keywords: heuristics,rule-based,language models,natural language understanding,nlp

# check_your_heuristic

#Quick start

## Installation

```
pip install check_your_heuristic
```

## Configurations
To check your dataset fill the [config](config.yaml), using **unix-like** paths.

Example config:
```yaml
train_dataset_dir: "dataset/dir/train.jsonl"
valid_dataset_dir: "dataset/dir/val.jsonl"
column_name1: "premise"
column_name2: "hypothesis"
target_name: "label"
```

Other config variations can be found [here](check_your_heuristic/configs.py)

# CLI Use

Our library offers four build-in commands for checking your datasets depending on the dataset structure you have

1. Base case or two text columns + one target column 
(for example, CommitmentBank from SuperGLUE or TERRa from Russian SuperFLUE)

```
run-base-case --path_to_config config.yaml 
```

2. When you have some long text and some questions and answers for it
(for example, MultiRC from SuperGLUE or MuSeRC from Russian SuperFLUE)

```
run-multirc-case --path_to_config config.yaml 
```

3. When you have passage, questions and some NERs (or entities) that serve as answers
(for example, ReCoRD from SuperGLUE or RuCoS from Russian SuperFLUE)

```
run-record-case --path_to_config config.yaml 
```

4. Case when you have two cases and need to compare some words in them
(for example, Words in Context (WiC) from SuperGLUE or RUSSE from Russian SuperFLUE)

```
run-wordincontext-case --path_to_config config.yaml 
```
swnn 0.1.0
A tool for building developmental tree from scRNA-seq
License: MIT
Requires Python: >=3.6.0


stagewiseNN
===========

**stagewiseNN** is a computational tool for constructing
developmental tree from Multi-staged single-cell RNA-seq data.

(see [StagewiseNN Documentation ](https://xingyanliu.github.io/stagewiseNN/index.html) for detailed guides)

It starts from building a single-cell graph by connecting each cell to its
k-nearest neighbors in the parent stage, followed by voting-based tree-construction
and adaptive cluster refinement.

![StagewiseNN](docs/source/_figs/stagewisenn.png)

It is easy to use:

```python
import swnn

# ====== Inputs ======
# data_matrix = ..
# stage_labels = ..
# group_labels = ..
# stage_order = [f'stage_{i}' for i in range(5)]

builder = swnn.Builder(stage_order=stage_order)
# step 1:
# building (stage-wise) single-cell graph
distmat, connect = builder.build_graph(
        X=data_matrix, stage_lbs=stage_labels,
    )
# step 2:
# build developmental tree from single-cell graph
builder.build_tree(group_labels, stage_labels,)
```


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

Requirements:

- python >= 3.6
- [scanpy](https://pypi.org/project/scanpy/)
- [scikit-learn](https://pypi.org/project/scikit-learn/)


Install stagewiseNN by running (in the command line):

```shell
pip install swnn
```

or install from source code:

```shell
git clone https://github.com/zhanglabtools/stagewiseNN.git
cd stagewiseNN
python setup.py install
```

Contribute
----------

- Issue Tracker: https://github.com/XingyanLiu/stagewiseNN/issues
- Source Code: 
  - https://github.com/zhanglabtools/stagewiseNN
  - https://github.com/XingyanLiu/stagewiseNN (the developmental version)

Support
-------

If you are having issues, please let us know.
We have a mailing list located at: 

* xingyan@amss.ac.cn
* 544568643@qq.com

Citation
--------
If you find StagewiseNN helps, Please cite:

> Pengcheng Ma, Xingyan Liu, Zaoxu Xu et al. 
> **Joint profiling of gene expression and chromatin accessibility of amphioxus 
> development at single cell resolution**, 18 May 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-504113/v1]
new-celery-config 0.2.0
new-celery-config specifies Celery configuration via environment variables.
License: MIT
Requires Python: >=3.8,<4.0

``new-celery-config`` specifies Celery config via environment variables
=======================================================================

`Celery <https://docs.celeryproject.org/en/stable/>`_ is a distributed task queue library for Python. It accepts some of its configuration via environment variables--but some configuration needs to be specified as Python code.

``new-celery-config`` is a Python package that lets you set any top-level Celery key using an environment variable containing YAML.

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

The latest stable can be installed via pip:

.. code:: text

    python3 -m pip install new-celery-config

Usage
-----

(Usage) as a module
^^^^^^^^^^^^^^^^^^^

To set configuration values, you must set an environment variables for each top-level key (`as documented in the Celery documentation <https://docs.celeryproject.org/en/latest/userguide/configuration.html#configuration>`_).

Each environment variable is prefixed with ``NEW_CELERY_``, followed by the config key name in lowercase. The value for each environment variable must be valid YAML (or JSON--remember that JSON is a subset of YAML).

You must also set the environment variable ``CELERY_CONFIG_MODULE`` to ``new_celery_config.as_module`` to enable Celery to read all of the other environment variables that you have set.

For example, setting these environment variables in the shell looks like:

.. code:: bash

    export CELERY_CONFIG_MODULE=new_celery_config.as_module
    export NEW_CELERY_broker_url='transport://userid:password@hostname:port/virtual_host'
    export NEW_CELERY_broker_transport_options='{"visibility_timeout": 36000}'

And in your Python code, initialize the Celery object as follows:

.. code:: python

    app = Celery()

If you want to change the name of the ``CELERY_CONFIG_MODULE``, you can use the ``config_from_envvar`` function. For example:

.. code:: bash

    export ARBITRARY_CELERY_CONFIG_MODULE=new_celery_config.as_module

.. code:: python

    app.config_from_envvar("ARBITRARY_CELERY_CONFIG_MODULE")

You can test that the configuration works by examining the ``app.conf`` object:

.. code:: python

    print(app.conf.broker_transport_options)
    # prints out {'visibility_timeout': 36000}

Usage (as an object)
^^^^^^^^^^^^^^^^^^^^

Celery also accepts configuration in the form of a Python object. If you prefer this way, you can give Celery a ``new_celery_config.Config`` object. For example:

.. code:: python

    from celery import Celery
    import new_celery_config

    app = Celery()
    app.config_from_object(new_celery_config.Config())


Contributing changes to ``new-celery-config``
---------------------------------------------

If you want to make changes to ``new-celery-config``, you can clone this repository. You can run ``make`` in the root directory to show commands relevant to development.

For example:
 - ``make fmt`` automatically formats Python code.
 - ``make lint`` runs pylint and mypy to catch errors.
 - ``make test`` runs unit tests.
hcord-py 0.0.1.1.1
A Discord API Wrapper written in Python.
License: MIT
Keywords: discord

# hcord
| [Support Server](https://discord.gg/weMcPBJV77) | [PyPi](https://pypi.org/hcord-py) | [GitHub Repo](https://github.com/MaskDuck/hcord) |
hcord is an **in-active-development** Discord API wrapper written in Python.

# Install
**REMEMBER THIS LIBRARY IS NOT PRODUCTION READY YET. USE THIS AT YOUR OWN RISK.**
`pip install git+https://github.com/MaskDuck/hcord`