semvec/pypi-packages huggingface dataset:
spark-jira-tools 0.4.4
spark_jira_tools
Keywords: spark,jira,bitbucket

# spark_jira_tools

[![Github License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Updates](https://pyup.io/repos/github/woctezuma/google-colab-transfer/shield.svg)](pyup)
[![Python 3](https://pyup.io/repos/github/woctezuma/google-colab-transfer/python-3-shield.svg)](pyup)
[![Code coverage](https://codecov.io/gh/woctezuma/google-colab-transfer/branch/master/graph/badge.svg)](codecov)

spark_jira_tools is a Python library that implements jira task

## Installation

The code is packaged for PyPI, so that the installation consists in running:

## Usage

wrapper run jira task

## Sandbox

## Installation

```sh
!yes| pip uninstall spark-jira-tools
```

```sh
pip install spark-jira-tools --user --upgrade
```

## IMPORTS

```sh
from spark_jira_tools import show_dataframe_task
from spark_jira_tools import show_code_template
from spark_jira_tools import generated_task_jira
from spark_jira_tools import Jira

```

## Auth Jira

```sh
jira = Jira(username="jonathan.quiza",
            token="Token Artifactory",
            proxy=proxy)
```

## Show Dataframe Task

```sh
show_dataframe_task()

```


## Show Code Template
1. Analisis
2. Productivizacion - Scaffolder
3. Ingesta
4. Productivizacion - Scala
5. Ingesta Holding
6. Full Production in Channel	
```sh
code_list = show_code_template(process_name="Analisis")
```



## Generated Task

```sh
table_names = [
    {"table":"t_kctk_collateralization_atrb", "assigned":"", "folio":"", "id_table":""}
]
feature_pad = "PAD3-87929"
code_team_backlog = "5884174"

generated_task_jira(jira=jira, code_list=code_list, table_names=table_names,
                    feature_pad=feature_pad,code_team_backlog=code_team_backlog)
```

## License

[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).

## New features v1.0

## BugFix

- choco install visualcpp-build-tools

## Reference

- Jonathan Quiza [github](https://github.com/jonaqp).
- Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).
ddtcurve 0.2.1
A package used to calculate the strength of the ddtank game.
Requires Python: >=3.8

# ddtcurve

一个用于计算弹弹堂游戏力度的软件包。

A package used to calculate the strength of the ddtank game.

- Contact the author: jugking6688@gmail.com
- 欢迎提供高质量的原始数据
---

## 快速开始
### 1.传统方式计算力度
本方法是在 https://www.52pojie.cn/thread-1132459-1-1.html 基础上的改良。
```python
import ddtcurve as ddtc

result = ddtc.predict(65, 0, 10, 0)
print(result)

result = ddtc.predict(65, 1, 10, 0)
print(result)

result = ddtc.predict(65, 0, 10, 1)
print(result)
```
Output:
```
56.984355730170684
54.693446341504185
58.14777549325182
```
### 2.深度学习推理力度
方法详见 https://www.52pojie.cn/thread-1889310-1-1.html
```python
import ddtcurve as ddtc

result = ddtc.inference(65, 0, 10, 0)
print(result)

result = ddtc.inference(65, 1, 10, 0)
print(result)

result = ddtc.inference(65, 0, 10, 1)
print(result)
```
Output:
```
57.528175
53.786335
59.91937
```

`Remarks:`

`There are many authors who have contributed to this package. :)`
lunnaris-pyinject 1.0.0
Dependency injection package
Requires Python: >=3.10

# Lunnaris-PyInject
Dependency injection library. Aims to be as simple as posible.

## Usage
Using `Dependency` will create the object in every call.
```python
# example.py
# import the dependency you need and the decorator 'inject'
from lunnaris_pyinject import Dependency, inject

class MyNeededDependency:
    def __init__(self, arg, other_arg):
        pass

# Supports *args and *kwargs
dependency = Dependency(MyNeededDependency,"some argument", other_arg="other arg")

@inject
def some_awesome_function(my_dependency: MyNeededDependency = dependency):
    # Do something cool with my_dependency
    pass
```
To use Singleton pattern 
```python
from lunnaris_pyinject import Dependency
class MyNeededDependency:
    pass
# Same code from above
# use is_singleton keyword argument
dependency = Dependency(MyNeededDependency, "one_argument", other_args=1, is_singleton=True)
# Same code
```
Take in count that `is_singleton` keyword argument is reserved and will be removed from the
kwargs dictionary passed to the dependency.

You might want to use another object to hold all of your dependency creators.
```python
# example.py
from lunnaris_pyinject import Dependency, DependantDependency, inject

class DB:
    pass


class Service:
    # No need to specify a default value, since it will be used 
    def __init__(self, db: DB):
        pass


class MyDependenciesHolder:
    # A simple dependency
    db = Dependency(DB, "connection_string", is_singleton=True)
    # Here a dependency can call another if the __init__ function is decorated with @inject
    service = DependantDependency(Service, db, is_singleton=True)

@inject
def some_func(service: Service = MyDependenciesHolder.service):
    pass
```
quantum-xyz 0.1.1
A quantum circuit synthesis library
Requires Python: >=3.10
Keywords: quantum computing,eda

Quantum XYZ
===========

<!-- [![DOI](https://zenodo.org/badge/598144740.svg)](https://zenodo.org/badge/latestdoi/598144740) -->
[![Gitpod Ready-to-Code](https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/Nozidoali/quantum-xyz.git)
[![CI](https://github.com/Nozidoali/quantum-xyz/actions/workflows/ci.yml/badge.svg)](https://github.com/Nozidoali/quantum-xyz/actions/workflows/ci.yml)


XYZ is a Python package for quantum compilation. It provides several implementations for quantum circuit optimizations, such as exact CNOT synthesis. [Read full documentation](https://quantum-xyz.readthedocs.io/en/latest/)

## Example

```sh
pip install quantum-xyz
cd example
python synthesize_dicke.py
```
textsynth 0.2.1
Easy-to-use Python wrapper for the TextSynth API

# TextSynth Python Interface

_Easy-to-use Python wrapper for the TextSynth API_

## What is this?

This is a simple Python library that handles interactions with the
[TextSynth](https://textsynth.com/) API. It handles authentication, wraps
requests and responses, and validates the data you pass to TextSynth.

See the [TextSynth documentation](https://textsynth.com/documentation.html) for
an up-to-date reference on the underlying API and capabilities of TextSynth.

## How do I use it?

To install and get your API key set up:

```sh
pip install textsynth
export TEXTSYNTH_SECRET_KEY='<your secret key here>'
```

Then, in a Python session:

```python
>>> import textsynth
>>> textsynth.engine('gptj_6B').completions('Once upon a time')
Completions(text=' there was a company called Tinkoff. It didn’t do much that day.\n')
```

For more information about how to use this library, check out
[the documentation](https://textsynth-python.readthedocs.io/en/latest/).

## Is this library production-ready?

Not yet! I have yet to create a comprehensive test suite, so far I have only
been manually testing everything on my own credits. I plan to add automated
tests that work with the free version of
[`ts_server`](https://bellard.org/ts_server/), so that anyone can run them
locally without incurring charges.

Once I have comprehensive unit and integration tests, and I have used this
library in a major application myself, then I will release version 1.0 and
declare it production-ready.

If you notice any bugs or other problems, please report them at
<https://github.com/ptakdotio/textsynth/issues>.
Rubik-Vault 5.5
¡Bienvenido a Rubik Vault, tu lugar para explorar y coleccionar imágenes de cubos Rubik!

# Rubik Vault

Welcome to Rubik Vault, your place to explore and collect Rubik cube images!

## Description

Rubik Vault is a simple application created by Michael100 that allows you to discover a variety of Rubik cube images. Register, log in, and select your favourite cubes to store in your own personal collection.

## Features

- Explore Rubik's Cube images of various types and styles.
- Register and login to access advanced features.
- Create your personal collection by selecting your favourite cubes.
- View your collection in a unique gallery.

## USE
1. Unzip Rubik_Vault-5.4.tar.gz and in the cmd put the path of the Rubik_Vault-5.4 previously obtained with cd(Change Directory)
2. > python
3. > from codex.Inicio_de_sesion import Login
4. > Login()
5. Enjoy the program

## Login and User Registration

- Click "Login" to access your existing account.
- If you are new, select "Register" to create an account.

## Storing Selected Cubes

- After logging in, select your favourite cubes to add to your collection.
- Your selected cubes will be saved and available each time you log in.

## Contributions

If you want to contribute to the project, feel free to make a fork and send pull requests!
croexp 0.0.1
A package that allows to verify the parameters of a crontab expression.
Keywords: python,crontab expression


# Crontab Expression: https://crontab.guru/.

vifcroexp library will allow you to check if the crontab parameters are correct.
you need to follow the order of the schedule expression like in the web site: (minute, hour, day_month, month, day_week)

  - minute: allowed values 0-59.

  - hour: allowed values 0-23.

  - day_month: allowed values 1-31.

  - month: allowed values 1-12.

  - day_week: allowed values 1-7.
  
  - '*' any value.

Parameter:

  - crontab_parameter => need to be a string.

Return:

  - If the parameters are valid, otherwise it will raise an error: 'Parameters are not correct'.


```console
>>> from croexp import vifcroexp
>>> vifcroexp("*,0,1,4,4")
```
Rubikeo 4.7
¡Bienvenido a Rubik Vault, tu lugar para explorar y coleccionar imágenes de cubos Rubik!

# Rubik Vault

Welcome to Rubik Vault, your place to explore and collect Rubik cube images!

## Description

Rubik Vault is a simple application created by Michael100 that allows you to discover a variety of Rubik cube images. Register, log in, and select your favourite cubes to store in your own personal collection.

## Features

- Explore Rubik's Cube images of various types and styles.
- Register and login to access advanced features.
- Create your personal collection by selecting your favourite cubes.
- View your collection in a unique gallery.

## Installation

1. Run the .exe file on your computer.
2. Open the .exe location and create a file called users.txt.

## Login and User Registration

- Click "Login" to access your existing account.
- If you are new, select "Register" to create an account.

## Storing Selected Cubes

- After logging in, select your favourite cubes to add to your collection.
- Your selected cubes will be saved and available each time you log in.

## Contributions

If you want to contribute to the project, feel free to make a fork and send pull requests!