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python-patterns | A collection of design patterns/idioms in Python | Architecture library

 by   faif Python Version: Current License: No License

 by   faif Python Version: Current License: No License

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kandi X-RAY | python-patterns Summary

python-patterns is a Python library typically used in Architecture applications. python-patterns has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.
A collection of design patterns and idioms in Python.
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  • python-patterns has a medium active ecosystem.
  • It has 29134 star(s) with 5993 fork(s). There are 1654 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 12 open issues and 62 have been closed. On average issues are closed in 160 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of python-patterns is current.
python-patterns Support
Best in #Architecture
Average in #Architecture
python-patterns Support
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quality kandi Quality

  • python-patterns has 0 bugs and 0 code smells.
python-patterns Quality
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Average in #Architecture
python-patterns Quality
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Average in #Architecture

securitySecurity

  • python-patterns has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • python-patterns code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
python-patterns Security
Best in #Architecture
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python-patterns Security
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Average in #Architecture

license License

  • python-patterns does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
python-patterns License
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python-patterns License
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buildReuse

  • python-patterns releases are not available. You will need to build from source code and install.
  • Build file is available. You can build the component from source.
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Top functions reviewed by kandi - BETA

kandi has reviewed python-patterns and discovered the below as its top functions. This is intended to give you an instant insight into python-patterns implemented functionality, and help decide if they suit your requirements.

  • Start the CPU
    • Jump to the given position
    • Freeze the processor
  • Print the product list
    • List of all available products
  • Wrapper for template functions
    • Save changes to save
  • Check if a request is in the db
    • Get interval from database
  • Show information about an item
    • Capitalize a string
  • Dispatch request
    • Dispatch the given request
  • Show price information for a given product
    • Return information about a specific product
  • Switchover state
    • Commit all target states
      • Unsubscribes a subscriber
        • Sends a message
          • Return the number of two values
            • Set new data
              • Set self value to self
                • Perform a switchover
                  • Invoked when an operator is received
                    • Calls the fault trigger
                      • Counts a number of items to 5

                        Get all kandi verified functions for this library.

                        Get all kandi verified functions for this library.

                        python-patterns Key Features

                        A collection of design patterns/idioms in Python

                        python-patterns Examples and Code Snippets

                        See all related Code Snippets

                        How to use callables instead of Abstract Factory Pattern in Python?

                        copy iconCopydownload iconDownload
                        class PostsManagerFactory:
                            @staticmethod
                            def get_posts_manager(use_orm=True) -> PostsManager:
                                if use_orm:
                                    return PostsManagerWithORM()
                                else:
                                    return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            if use_orm:
                                return PostsManagerWithORM()
                            else:
                                return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            return PostsManagerWithORM() if use_orm else PostsManagerWithoutORM()
                        
                        posts_manager = get_posts_manager() # <----
                        posts = posts_manager.get_posts()
                        
                        class PostsManagerFactory:
                            @staticmethod
                            def get_posts_manager(use_orm=True) -> PostsManager:
                                if use_orm:
                                    return PostsManagerWithORM()
                                else:
                                    return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            if use_orm:
                                return PostsManagerWithORM()
                            else:
                                return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            return PostsManagerWithORM() if use_orm else PostsManagerWithoutORM()
                        
                        posts_manager = get_posts_manager() # <----
                        posts = posts_manager.get_posts()
                        
                        class PostsManagerFactory:
                            @staticmethod
                            def get_posts_manager(use_orm=True) -> PostsManager:
                                if use_orm:
                                    return PostsManagerWithORM()
                                else:
                                    return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            if use_orm:
                                return PostsManagerWithORM()
                            else:
                                return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            return PostsManagerWithORM() if use_orm else PostsManagerWithoutORM()
                        
                        posts_manager = get_posts_manager() # <----
                        posts = posts_manager.get_posts()
                        
                        class PostsManagerFactory:
                            @staticmethod
                            def get_posts_manager(use_orm=True) -> PostsManager:
                                if use_orm:
                                    return PostsManagerWithORM()
                                else:
                                    return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            if use_orm:
                                return PostsManagerWithORM()
                            else:
                                return PostsManagerWithoutORM()
                        
                        def get_posts_manager(use_orm=True) -> PostsManager:
                            return PostsManagerWithORM() if use_orm else PostsManagerWithoutORM()
                        
                        posts_manager = get_posts_manager() # <----
                        posts = posts_manager.get_posts()
                        

                        Overwrite __call__ method of third party class at runtime, while maintaining other methods

                        copy iconCopydownload iconDownload
                        class A():
                            def __call__(self, *args, **kwargs):
                                print("In A.__call__")
                        
                            def showCall(self):
                                print(self.__call__)
                        
                        class foo(A):
                            pass
                        
                        class bar(A):
                            pass
                        
                        class baz(A):
                            pass
                        
                        def my_custom_func():
                            print("In my custom func")
                        
                        f = foo()
                        f()
                        
                        b = bar()
                        b()
                        
                        f.showCall()
                        b.showCall()
                        
                        print("##setting call##")
                        f.__call__ = my_custom_func
                        print("##running f calls##")
                        f.showCall()
                        f()
                        
                        print("##running b calls##")
                        b.showCall()
                        b()
                        
                        # Create a decorator to keep the reference to the original __call__'s
                        class CustomA(A):
                            def __init__(self, obj):
                                self.obj = obj
                                
                            def __call__(self, x, y):
                                return self.obj(x, y)
                                
                            def method1(self, a, b):
                                return self.obj.method1(a, b)
                                
                        # Create a decorator that calls the original __call__
                        class MultiplyA(CustomA):
                            def __init__(self, obj):
                                super().__init__(obj)
                                
                            def __call__(self, x, y):
                                result = super().__call__(x, y)
                                return result * 10
                                
                        # Create a decorator that ignores the original __call__
                        class DivideA(CustomA):
                            def __init__(self, obj):
                                super().__init__(obj)
                                
                            def __call__(self, x, y):
                                # You can still access the original object' attributes here
                                super().method1(x, y)
                                return x / y
                        
                        foo = Foo()
                        print(foo(1, 2))
                        # Outputs 3
                        
                        foo = MultiplyA(foo)
                        print(foo(1, 2))
                        # Outputs 30
                        
                        bar = Bar()
                        print(bar(2, 3))
                        # Outputs 6
                        
                        bar = DivideA(bar)
                        print(bar(10, 5))
                        # Outputs 2.0
                        
                        # Create a decorator to keep the reference to the original __call__'s
                        class CustomA(A):
                            def __init__(self, obj):
                                self.obj = obj
                                
                            def __call__(self, x, y):
                                return self.obj(x, y)
                                
                            def method1(self, a, b):
                                return self.obj.method1(a, b)
                                
                        # Create a decorator that calls the original __call__
                        class MultiplyA(CustomA):
                            def __init__(self, obj):
                                super().__init__(obj)
                                
                            def __call__(self, x, y):
                                result = super().__call__(x, y)
                                return result * 10
                                
                        # Create a decorator that ignores the original __call__
                        class DivideA(CustomA):
                            def __init__(self, obj):
                                super().__init__(obj)
                                
                            def __call__(self, x, y):
                                # You can still access the original object' attributes here
                                super().method1(x, y)
                                return x / y
                        
                        foo = Foo()
                        print(foo(1, 2))
                        # Outputs 3
                        
                        foo = MultiplyA(foo)
                        print(foo(1, 2))
                        # Outputs 30
                        
                        bar = Bar()
                        print(bar(2, 3))
                        # Outputs 6
                        
                        bar = DivideA(bar)
                        print(bar(10, 5))
                        # Outputs 2.0
                        

                        See all related Code Snippets

                        Community Discussions

                        Trending Discussions on python-patterns
                        • How to use callables instead of Abstract Factory Pattern in Python?
                        • Overwrite __call__ method of third party class at runtime, while maintaining other methods
                        Trending Discussions on python-patterns

                        QUESTION

                        How to use callables instead of Abstract Factory Pattern in Python?

                        Asked 2021-Nov-14 at 06:32

                        I have been trying to figure out when and where to use different patterns in Python. I came across this document: https://python-patterns.guide/gang-of-four/abstract-factory/

                        Now this made me wonder how can I do what he says in my code. Here is my implementation is an abstract factory. Not sure if its correct.

                        from abc import abstractmethod, ABC
                        
                        from sqlalchemy.orm import Session
                        
                        from managers.database_manager import DatabaseManager
                        from managers.log_manager import LogManager
                        from managers.sqlalchemy_manager import get_db
                        from models.bal.post import Post
                        from models.dal.models import Post as ORMPost
                        
                        
                        class PostsManager(ABC):
                            def __init__(self):
                                pass
                        
                            @abstractmethod
                            def get_posts(self):
                                pass
                        
                            @abstractmethod
                            def get_post(self, post_id):
                                pass
                        
                            @abstractmethod
                            def create_post(self, post: Post):
                                pass
                        
                            @abstractmethod
                            def delete_post(self, post_id):
                                pass
                        
                            @abstractmethod
                            def update_post(self, post_id, post: Post):
                                pass
                        
                        
                        class PostsManagerFactory:
                            @staticmethod
                            def get_posts_manager(use_orm=True) -> PostsManager:
                                if use_orm:
                                    return PostsManagerWithORM()
                                else:
                                    return PostsManagerWithoutORM()
                        
                        
                        class PostsManagerWithORM(PostsManager):
                        
                            def get_posts(self):
                                db: Session = get_db()
                                posts = db.query(ORMPost).all()
                                return posts
                        
                            def get_post(self, post_id):
                                pass
                        
                            def create_post(self, post: Post):
                                pass
                        
                            def delete_post(self, post_id):
                                pass
                        
                            def update_post(self, post_id, post: Post):
                                pass
                        
                        
                        class PostsManagerWithoutORM(PostsManager):
                            def __init__(self):
                                super().__init__()
                                self.db_manager = DatabaseManager()
                        
                            def get_posts(self):
                                posts = self.db_manager.execute_query("select * from posts")
                                return posts
                        
                            def get_post(self, post_id):
                                post = self.db_manager.execute_query("SELECT * FROM posts WHERE id='%s'", (post_id,), single_record_flag=True)
                                return post
                        
                            def create_post(self, post: Post):
                                post = self.db_manager.execute_query("INSERT INTO posts (title, content) VALUES (%s, %s) RETURNING *",
                                                                     (post.title, post.content), single_record_flag=True)
                        
                                return post
                        
                            def delete_post(self, post_id):
                                post = self.db_manager.execute_query("DELETE FROM posts WHERE id = %s RETURNING *", (post_id,),
                                                                     single_record_flag=True)
                                return post
                        
                            def update_post(self, post_id, post: Post):
                                post = self.db_manager.execute_query(
                                    "UPDATE posts SET title = %s, content = %s, published = %s WHERE id= %s RETURNING *",
                                    (post.title, post.content, post.published, post_id),
                                    single_record_flag=True)
                                return post
                        
                        

                        Here is how I am calling these methods:

                        posts_manager = PostsManagerFactory.get_posts_manager()
                        posts = posts_manager.get_posts()
                        

                        My first question, is it the right way to use abstract factory pattern? If, not please let me know, I will probably ask a new question. Anyway if it is, why does that document say about using callables is better than using abstract factory pattern, how do I do that in this case?

                        ANSWER

                        Answered 2021-Nov-14 at 06:32

                        Following you last comment.

                        I would not use abstract factory pattern for this use case. May I ask why you want to use it ?

                        When I suggest to remove the PostsManagerFactory class by extracting the get_posts_manager to a function, I mean replacing this code snippet

                        class PostsManagerFactory:
                            @staticmethod
                            def get_posts_manager(use_orm=True) -> PostsManager:
                                if use_orm:
                                    return PostsManagerWithORM()
                                else:
                                    return PostsManagerWithoutORM()
                        

                        with this

                        def get_posts_manager(use_orm=True) -> PostsManager:
                            if use_orm:
                                return PostsManagerWithORM()
                            else:
                                return PostsManagerWithoutORM()
                        

                        that you may want to shorten this way

                        def get_posts_manager(use_orm=True) -> PostsManager:
                            return PostsManagerWithORM() if use_orm else PostsManagerWithoutORM()
                        

                        Then, you could use it in your code simply by calling the function

                        posts_manager = get_posts_manager() # <----
                        posts = posts_manager.get_posts()
                        

                        Source https://stackoverflow.com/questions/69960168

                        Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                        Vulnerabilities

                        No vulnerabilities reported

                        Install python-patterns

                        You can download it from GitHub.
                        You can use python-patterns like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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                        When an implementation is added or modified, please review the following guidelines:.

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