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bigchin-1.2.9
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
A small library for your projects
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | bigchin-1.2.9 |
| نام | bigchin |
| نسخه کتابخانه | 1.2.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | DFWastaken |
| ایمیل نویسنده | dfwastaken.work@gmail.com |
| آدرس صفحه اصلی | https://github.com/DFekatsaW/Big-Chin. |
| آدرس اینترنتی | https://pypi.org/project/bigchin/ |
| مجوز | Apache License 2.0 |
Description
===========
**This small library contains some useful functions that you would need in the implementation of projects. Every time the library is updated, and many other useful functions are added to it**
Innovations
===========
Update 1.0 - Adding the Perform, system class
____
Update 1.1 - Bug fixes
____
Update 1.1.5 - Bug fixes
____
Update 1.1.7 - Bug fixes
____
Update 1.1.9 - Bug fixes
____
Update 1.2 - Bug fixes
____
Update 1.2.2 - Officially prepared module
____
Update 1.2.6 - Adding the kalive class
____
Update 1.2.8 - Adding exceptions to the kalive class
____
Update 1.2.9 - Adding exceptions to the kalive class
Using
===========
Using 1.2.6
-----------
### This class of functions adds the ability to support your variables/applications in some partial elements
Supported list:
* Discord Bot alive
```python
import discord
client = commands.Bot()
token = "123X456"
kalive("discord.Client").checkalive(client, token)
```
#### Thus, if you maintain the state of your Discord bot using the Flash module (keep alive), then this kalive function will handle exceptions and errors in your token or bot startup.
Using 1.0
-----------
### In the code below, you can make a small game that depends on luck. With this function, you can specify the chances of "winning" and return *True*, or lose.
```python
from bigchin import perform
my_chance = perform.perchance(50) # 50 - Your chances
if my_chance is True:
print("Win!")
elif my_chance is False:
print("lose.")
```
If you win, then you return *True*. In case of defeat - *False*
**Maximum chances: 100**
**Minimum chances: 0** _(Best of all - 1)_
### In the next function you will be able to set your *maximum unit of luck*
```python
from bigchin import perform
my_custom_max_chance = 200 # 200 - Your any number
my_chance = perform.perchances(my_custom_max_chance)
if my_chance > 50:
print("Win!")
elif my_chance <= 50:
print("lose.")
```
### If you are working with a large and important project, and you choose numbers as the maximum size, except for the standard ones [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000], then you will have to quickly enter into the console - *"y"* _(Operation confirmation)_.
As we know, if you specify the number of the maximum size of the odds except [100, 200, 300, 400, 500, 600, 700, 800, 900, 100], **then you will have a warning where confirmation of the operation is required.**
To skip it, set an additional parameter to *True*
```python
from bigchin import perform
my_custom_max_chance = 450 # 450 - Your any number
my_chance = perform.perchances(my_custom_max_chance, True)
if my_chance > 50:
print("Win!")
elif my_chance <= 50:
print("lose.")
```
### In the **system** class, it will be possible to view system functions or information in future updates.
#### Version view (1)
```python
import bigchin
version = bigchin.system.ver()
print(version)
```
#### Version view (2)
```python
from bigchin import system
version = system.ver()
print(version)
```
### There is a small analogue of the *perchance* function. If you need to use several variables at once, then you can use the following function
```python
from bigchin import perform
my_dict_chance = perform.permchance(10, 20, 40) # 10, 20, 40 - Your chances
print(my_dict_chance)
```
In the output we will get *dict* with our variables
### If you are working on some game (Let's say daily-rewards), then you definitely need a system with a *calculation of luck for a certain reward*. In the next function you will be able to implement this
```python
from bigchin import perform
my_chance = perform.СЃpermchance(30, 60) # 30, 60 - Your chances
print(my_chance)
```
In the console, we will most likely see: - **60**
Let's say you need a program for determining the luck of some boxing, case (gaming) that are designed only on luck. The most expensive rewards will be likely with 10% chances (for example), and the most ordinary ones with 90%.
The *СЃpermchance* function simplifies this implementation. Here is an example code corresponding to our above-mentioned "game" designed for luck"
```python
from bigchin import perform
probability_a_price_reward = 10 # 10%
probability_of_usual_reward = 90 # 90 %
result = perform.СЃpermchance(probability_a_price_reward, probability_of_usual_reward)
if result == probability_a_price_reward:
print("Win!")
elif result == probability_of_usual_reward:
print("so-so...")
```
That is, the probability for a **valuable reward is 10%**, and for an **ordinary, standard reward is 90%**
نحوه نصب
نصب پکیج whl bigchin-1.2.9:
pip install bigchin-1.2.9.whl
نصب پکیج tar.gz bigchin-1.2.9:
pip install bigchin-1.2.9.tar.gz