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Docs/Basic/05-oop.md
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Docs/Basic/05-oop.md
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# 05 – Object-Oriented Programming (OOP) in Python
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This document explains the basics of **Object-Oriented Programming (OOP)** in Python using simple examples.
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We cover:
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* Classes and objects
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* Attributes and methods
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* Class attributes vs instance attributes
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* Inheritance
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* Special (magic) methods
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---
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## 1. Basic Class, Attribute, and Method
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### Code
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```python
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class test_class():
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def __init__(self, input):
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self.parm = input
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print("Class Created")
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def result(self):
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print(f"param is : {self.parm}")
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var = test_class('abbas')
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var.result()
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```
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### Explanation
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#### Class
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* `test_class` is a **class**, which acts as a blueprint for creating objects.
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#### `__init__` method (Constructor)
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* `__init__` is a **special method** that runs automatically when a new object is created.
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* `input` is a **parameter** passed when creating the object.
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* `self.parm = input` creates an **instance attribute** called `parm`.
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#### Attribute
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* `parm` is an **attribute** (a variable that belongs to the object).
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* It stores data specific to each object.
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#### Method
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* `result()` is a **method** (a function that belongs to the class).
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* It uses `self.parm` to access the object’s data.
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#### Object Creation
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```python
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var = test_class('abbas')
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```
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* Creates an object named `var`.
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* Calls `__init__` automatically.
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#### Method Call
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```python
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var.result()
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```
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* Calls the `result` method on the object.
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---
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## 2. Class Attributes vs Instance Attributes
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### Code
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```python
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class test_class():
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test_value = 'abbas'
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def __init__(self, input):
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self.parm = input
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print("Class Created")
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def result(self):
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print(f"param is : {self.parm}")
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var = test_class('abbas')
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var2 = test_class('mmd')
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var.result()
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var.test_value
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var2.test_value = 'mmd'
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var2.test_value
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var.test_value
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```
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### Explanation
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#### Class Attribute
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```python
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test_value = 'abbas'
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```
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* This is a **class attribute**.
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* It belongs to the class itself.
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* Shared by all objects unless overridden.
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#### Instance Attribute
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```python
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self.parm = input
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```
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* This is an **instance attribute**.
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* Each object has its own value.
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#### Behavior Analysis
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```python
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var.test_value
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```
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* Accesses the class attribute → `'abbas'`
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```python
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var2.test_value = 'mmd'
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```
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* Creates a **new instance attribute** for `var2`.
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* Does not change the class attribute.
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```python
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var2.test_value
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```
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* Returns `'mmd'` (instance attribute)
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```python
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var.test_value
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```
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* Still returns `'abbas'` (class attribute)
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#### Key Rule
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* Instance attributes override class attributes **only for that object**.
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---
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## 3. Inheritance
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### Code
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```python
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class class_1():
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def __init__(self):
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print("Class 1 Created")
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def hi(self):
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print("Hi")
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class class_2(class_1):
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def __init__(self):
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print("Class 2 Created")
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self.hi()
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b = class_2()
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```
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### Explanation
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#### Parent Class
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```python
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class class_1():
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```
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* `class_1` is the **parent (base) class**.
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#### Child Class
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```python
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class class_2(class_1):
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```
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* `class_2` **inherits** from `class_1`.
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* It automatically has access to all public methods of `class_1`.
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#### Method Usage
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```python
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self.hi()
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```
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* `hi()` is defined in `class_1`.
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* Because of inheritance, `class_2` can call it.
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#### Output Order
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```text
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Class 2 Created
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Hi
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```
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#### Important Note
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* `class_1.__init__()` is **not called automatically** here.
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* To call it, you would need:
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```python
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super().__init__()
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```
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---
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## 4. Special (Magic) Methods
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### Code
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```python
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class class_1():
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def __init__(self):
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print("Class 1 Created")
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def __len__(self):
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return 1
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def __str__(self):
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return 'print command on class'
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def __del__(self):
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return 'on del value'
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```
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### Explanation
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Special methods start and end with **double underscores (`__`)** and control built-in behavior.
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#### `__init__`
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* Runs when an object is created.
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#### `__len__`
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```python
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len(object)
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```
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* Defines the behavior of `len()` on the object.
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* Returns `1` in this example.
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#### `__str__`
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```python
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print(object)
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```
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* Defines the string representation of the object.
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* Used by `print()` and `str()`.
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#### `__del__`
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* Runs when the object is deleted or garbage-collected.
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* Used rarely in modern Python.
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* Return value is ignored.
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---
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## Summary
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* **Class**: Blueprint for objects
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* **Object**: Instance of a class
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* **Attribute**: Data stored in an object
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* **Method**: Function inside a class
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* **Class Attribute**: Shared across all objects
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* **Instance Attribute**: Unique per object
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* **Inheritance**: Child class reuses parent class logic
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* **Magic Methods**: Customize built-in Python behavior
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0
Docs/Libs/Docker/04-Container-Configuration.md
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0
Docs/Libs/Docker/04-Container-Configuration.md
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```python
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import docker
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import time
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docker_client = docker.DockerClient(base_url="unix://var/run/docker.sock")
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docker_client.ping()
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print("All Networks:\n")
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all_networks = docker_client.networks.list()
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for network in all_networks:
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print(network.name, network.id)
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print("\nNetworks Named host and bridge:\n")
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system_networks = docker_client.networks.list(names=["host", "bridge"])
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for network in system_networks:
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print(network.name, network.id)
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print("\nNetwork With Custom ID:\n")
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custom_id_networks = docker_client.networks.list(
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ids=["29c9e588bb8e0db6445f2a2278a1c2f42e39dc163c0a404f744dc4139fe47d21"]
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)
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for network in custom_id_networks:
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print(network.name, network.id)
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print("\nNetwork With Custom ID (Including Attributes):\n")
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custom_id_networks = docker_client.networks.list(
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ids=["29c9e588bb8e0db6445f2a2278a1c2f42e39dc163c0a404f744dc4139fe47d21"]
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)
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for network in custom_id_networks:
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print(network.name, network.id, network.attrs)
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print("\nNetwork With Custom Filter:\n")
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filtered_networks = docker_client.networks.list(
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names=["gitea_default"],
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filters={"driver": "bridge"}
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)
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for network in filtered_networks:
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if network.attrs["Driver"]:
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print(network.name, network.id)
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print("\nNetwork With Custom Filter (Greedy):\n")
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filtered_networks = docker_client.networks.list(
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names=["gitea_default"],
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filters={"driver": "bridge"},
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greedy=True
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)
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for network in filtered_networks:
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if network.attrs["Driver"]:
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print(network.name, network.id, network.attrs)
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```
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```python
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```
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Reference in New Issue
Block a user