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mypy 1.10.0 documentation

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  • [H1] Welcome to mypy documentation!¶
  • [H1] Indices and tables¶
  • [H2] Contents¶

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Anker Type Juice
Getting started Interne Passing Juice
Type hints cheat sheet Interne Passing Juice
Using mypy with an existing codebase Interne Passing Juice
Built-in types Interne Passing Juice
Type inference and type annotations Interne Passing Juice
Kinds of types Interne Passing Juice
Class basics Interne Passing Juice
Annotation issues at runtime Interne Passing Juice
Protocols and structural subtyping Interne Passing Juice
Dynamically typed code Interne Passing Juice
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Generics Interne Passing Juice
More types Interne Passing Juice
Literal types and Enums Interne Passing Juice
TypedDict Interne Passing Juice
Final names, methods and classes Interne Passing Juice
Metaclasses Interne Passing Juice
Running mypy and managing imports Interne Passing Juice
The mypy command line Interne Passing Juice
The mypy configuration file Interne Passing Juice
Inline configuration Interne Passing Juice
Mypy daemon (mypy server) Interne Passing Juice
Using installed packages Interne Passing Juice
Extending and integrating mypy Interne Passing Juice
Automatic stub generation (stubgen) Interne Passing Juice
Automatic stub testing (stubtest) Interne Passing Juice
Common issues and solutions Interne Passing Juice
Supported Python features Interne Passing Juice
Error codes Interne Passing Juice
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latest Interne Passing Juice
stable Interne Passing Juice
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More complex types Interne Passing Juice
Local type inference Interne Passing Juice
Types from libraries Interne Passing Juice
Next steps Interne Passing Juice
Variables Interne Passing Juice
Useful built-in types Interne Passing Juice
Functions Interne Passing Juice
Classes Interne Passing Juice
When you’re puzzled or when things are complicated Interne Passing Juice
Standard “duck types” Interne Passing Juice
Forward references Interne Passing Juice
Decorators Interne Passing Juice
Coroutines and asyncio Interne Passing Juice
Start small Interne Passing Juice
Run mypy consistently and prevent regressions Interne Passing Juice
Ignoring errors from certain modules Interne Passing Juice
Fixing errors related to imports Interne Passing Juice
Prioritise annotating widely imported modules Interne Passing Juice
Write annotations as you go Interne Passing Juice
Automate annotation of legacy code Interne Passing Juice
Introduce stricter options Interne Passing Juice
Speed up mypy runs Interne Passing Juice
Simple types Interne Passing Juice
Any type Interne Passing Juice
Generic types Interne Passing Juice
Type inference Interne Passing Juice
Explicit types for variables Interne Passing Juice
Explicit types for collections Interne Passing Juice
Compatibility of container types Interne Passing Juice
Context in type inference Interne Passing Juice
Silencing type errors Interne Passing Juice
Class types Interne Passing Juice
The Any type Interne Passing Juice
Tuple types Interne Passing Juice
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Union types Interne Passing Juice
Optional types and the None type Interne Passing Juice
Type aliases Interne Passing Juice
Named tuples Interne Passing Juice
The type of class objects Interne Passing Juice
Generators Interne Passing Juice
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Overriding statically typed methods Interne Passing Juice
Abstract base classes and multiple inheritance Interne Passing Juice
Slots Interne Passing Juice
String literal types and type comments Interne Passing Juice
Future annotations import (PEP 563) Interne Passing Juice
typing.TYPE_CHECKING Interne Passing Juice
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Using classes that are generic in stubs but not at runtime Interne Passing Juice
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Using generic builtins Interne Passing Juice
Using X | Y syntax for Unions Interne Passing Juice
Using new additions to the typing module Interne Passing Juice
Predefined protocols Interne Passing Juice
Simple user-defined protocols Interne Passing Juice
Defining subprotocols and subclassing protocols Interne Passing Juice
Invariance of protocol attributes Interne Passing Juice
Recursive protocols Interne Passing Juice
Using isinstance() with protocols Interne Passing Juice
Callback protocols Interne Passing Juice
Predefined protocol reference Interne Passing Juice
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Type narrowing expressions Interne Passing Juice
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The NoReturn type Interne Passing Juice
NewTypes Interne Passing Juice
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Literal types Interne Passing Juice
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Supported operations Interne Passing Juice
Class-based syntax Interne Passing Juice
Mixing required and non-required items Interne Passing Juice
Unions of TypedDicts Interne Passing Juice
Final names Interne Passing Juice
Final methods Interne Passing Juice
Final classes Interne Passing Juice
Defining a metaclass Interne Passing Juice
Metaclass usage example Interne Passing Juice
Gotchas and limitations of metaclass support Interne Passing Juice
Specifying code to be checked Interne Passing Juice
Reading a list of files from a file Interne Passing Juice
Mapping file paths to modules Interne Passing Juice
How mypy handles imports Interne Passing Juice
Missing imports Interne Passing Juice
How imports are found Interne Passing Juice
Following imports Interne Passing Juice
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Static inference of annotations Interne Passing Juice
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Configuring mypy to use plugins Interne Passing Juice
High-level overview Interne Passing Juice
Current list of plugin hooks Interne Passing Juice
Useful tools Interne Passing Juice
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Enabling/disabling specific error codes globally Interne Passing Juice
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Subcodes of error codes Interne Passing Juice
Requiring error codes Interne Passing Juice
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Check that overloaded functions don’t overlap [overload-overlap] Interne Passing Juice
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Check that overrides of mutable attributes are safe [mutable-override] Interne Passing Juice
Dataclasses Interne Passing Juice
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The attrs package Interne Passing Juice
Using a remote cache to speed up mypy runs Interne Passing Juice
Extended Callable types Interne Passing Juice
Why have both dynamic and static typing? Interne Passing Juice
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Related: myrecruit.co.za, myrocketcareer.com and mythical.com

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