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Using installed packages

 来源:Mypy 浏览 479 扫码 分享 2020-04-13 20:24:42
  • Using installed packages

    Using installed packages

    PEP 561 specifies how to mark a package as supporting type checking.Below is a summary of how to create PEP 561 compatible packages and havemypy use them in type checking.

    • Using PEP 561 compatible packages with mypy
    • Making PEP 561 compatible packages
    当前内容版权归 Mypy 或其关联方所有，如需对内容或内容相关联开源项目进行关注与资助，请访问 Mypy .
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    • Menu
    • First steps
      • Introduction
      • Getting started
        • Installing and running mypy
        • Function signatures and dynamic vs static typing
        • More function signatures
        • The typing module
        • Local type inference
        • Library stubs and typeshed
        • Configuring mypy
        • Next steps
      • Using mypy with an existing codebase
        • Start small
        • Mypy runner script
        • Continuous Integration
        • Annotate widely imported modules
        • Write annotations as you go
        • Automate annotation of legacy code
        • Speed up mypy runs
        • Introduce stricter options
    • Cheat sheets
      • Type hints cheat sheet (Python 3)
        • Variables
        • Built-in types
        • Functions
        • When you’re puzzled or when things are complicated
        • Standard “duck types”
        • Classes
        • Coroutines and asyncio
        • Miscellaneous
        • Decorators
      • Type hints cheat sheet (Python 2)
        • Built-in types
        • Functions
        • When you’re puzzled or when things are complicated
        • Standard “duck types”
        • Classes
        • Miscellaneous
        • Decorators
    • Type system reference
      • Built-in types
      • Type inference and type annotations
        • Type inference
        • Explicit types for variables
        • Explicit types for collections
        • Compatibility of container types
        • Context in type inference
        • Declaring multiple variable types at a time
        • Starred expressions
      • Kinds of types
        • Class types
        • The Any type
        • Tuple types
        • Callable types (and lambdas)
        • Union types
        • Optional types and the None type
        • Disabling strict optional checking
        • Class name forward references
        • Type aliases
        • Named tuples
        • The type of class objects
        • Text and AnyStr
        • Generators
      • Class basics
        • Instance and class attributes
        • Annotating init methods
        • Class attribute annotations
        • Overriding statically typed methods
        • Abstract base classes and multiple inheritance
      • Protocols and structural subtyping
        • Predefined protocols
        • Simple user-defined protocols
        • Defining subprotocols and subclassing protocols
        • Recursive protocols
        • Using isinstance() with protocols
        • Callback protocols
      • Type checking Python 2 code
        • Multi-line Python 2 function annotations
        • Additional notes
      • Dynamically typed code
        • Operations on Any values
        • Any vs. object
      • Casts and type assertions
      • Duck type compatibility
      • Stub files
        • Creating a stub
        • Stub file syntax
        • Using stub file syntax at runtime
      • Generics
        • Defining generic classes
        • Generic class internals
        • Defining sub-classes of generic classes
        • Generic functions
        • Generic methods and generic self
        • Variance of generic types
        • Type variables with value restriction
        • Type variables with upper bounds
        • Declaring decorators
        • Generic protocols
        • Generic type aliases
      • More types
        • The NoReturn type
        • NewTypes
        • Function overloading
        • Advanced uses of self-types
        • Typing async/await
        • TypedDict
      • Literal types
        • Parameterizing Literals
        • Declaring literal variables
        • Intelligent indexing
        • Tagged unions
        • Limitations
      • Final names, methods and classes
        • Final names
        • Final methods
        • Final classes
      • Metaclasses
        • Defining a metaclass
        • Metaclass usage example
        • Gotchas and limitations of metaclass support
    • Configuring and running mypy
      • Running mypy and managing imports
        • Specifying code to be checked
        • Reading a list of files from a file
        • How mypy handles imports
        • Missing imports
        • Following imports
        • Mapping file paths to modules
        • How imports are found
        • Other advice and best practices
      • The mypy command line
        • Specifying what to type check
        • Optional arguments
        • Config file
        • Import discovery
        • Platform configuration
        • Disallow dynamic typing
        • Untyped definitions and calls
        • None and Optional handling
        • Configuring warnings
        • Miscellaneous strictness flags
        • Configuring error messages
        • Incremental mode
        • Advanced options
        • Report generation
        • Miscellaneous
      • The mypy configuration file
        • Config file format
        • Per-module and global options
        • Inverting option values
        • Examples
        • Import discovery
        • Platform configuration
        • Disallow dynamic typing
        • Untyped definitions and calls
        • None and Optional handling
        • Configuring warnings
        • Suppressing errors
        • Miscellaneous strictness flags
        • Configuring error messages
        • Incremental mode
        • Advanced options
        • Report generation
        • Miscellaneous
      • Inline configuration
        • Configuration comment format
      • Mypy daemon (mypy server)
        • Basic usage
        • Daemon client commands
        • Additional daemon flags
        • Static inference of annotations
        • Limitations
      • Using installed packages
        • Using PEP 561 compatible packages with mypy
        • Making PEP 561 compatible packages
      • Extending and integrating mypy
        • Integrating mypy into another Python application
        • Extending mypy using plugins
        • Configuring mypy to use plugins
        • High-level overview
        • Current list of plugin hooks
        • Notes about the semantic analyzer
      • Automatic stub generation (stubgen)
        • Specifying what to stub
        • Specifying how to generate stubs
        • Additional flags
    • Miscellaneous
      • Common issues and solutions
        • Can’t install mypy using pip
        • No errors reported for obviously wrong code
        • Spurious errors and locally silencing the checker
        • Ignoring a whole file
        • Unexpected errors about ‘None’ and/or ‘Optional’ types
        • Mypy runs are slow
        • Types of empty collections
        • Redefinitions with incompatible types
        • Invariance vs covariance
        • Declaring a supertype as variable type
        • Complex type tests
        • Python version and system platform checks
        • Displaying the type of an expression
        • Import cycles
        • Using classes that are generic in stubs but not at runtime
        • Silencing linters
        • Covariant subtyping of mutable protocol members is rejected
        • Dealing with conflicting names
        • Using a development mypy build
        • Variables vs type aliases
        • Incompatible overrides
      • Supported Python features
      • Error codes
        • Displaying error codes
        • Silencing errors based on error codes
      • Error codes enabled by default
        • Check that attribute exists [attr-defined]
        • Check that attribute exists in each union item [union-attr]
        • Check that name is defined [name-defined]
        • Check arguments in calls [call-arg]
        • Check argument types [arg-type]
        • Check calls to overloaded functions [call-overload]
        • Check validity of types [valid-type]
        • Require annotation if variable type is unclear [var-annotated]
        • Check validity of overrides [override]
        • Check that function returns a value [return]
        • Check that return value is compatible [return-value]
        • Check types in assignment statement [assignment]
        • Check type variable values [type-var]
        • Check uses of various operators [operator]
        • Check indexing operations [index]
        • Check list items [list-item]
        • Check dict items [dict-item]
        • Check TypedDict items [typeddict-item]
        • Check that type of target is known [has-type]
        • Check that import target can be found [import]
        • Check that each name is defined once [no-redef]
        • Check that called function returns a value [func-returns-value]
        • Check instantiation of abstract classes [abstract]
        • Check the target of NewType [valid-newtype]
        • Check the return type of exit [exit-return]
        • Report syntax errors [syntax]
        • Miscellaneous checks [misc]
      • Error codes for optional checks
        • Check that type arguments exist [type-arg]
        • Check that every function has an annotation [no-untyped-def]
        • Check that cast is not redundant [redundant-cast]
        • Check that comparisons are overlapping [comparison-overlap]
        • Check that no untyped functions are called [no-untyped-call]
        • Check that function does not return Any value [no-any-return]
        • Check that types have no Any components due to missing imports [no-any-unimported]
        • Check that statement or expression is unreachable [unreachable]
      • New features in Python 3.6
        • Syntax for variable annotations (PEP 526)
        • Asynchronous generators (PEP 525) and comprehensions (PEP 530)
        • New named tuple syntax
      • Additional features
        • Dataclasses
        • The attrs package
        • Using a remote cache to speed up mypy runs
        • Extended Callable types
      • Frequently Asked Questions
        • Why have both dynamic and static typing?
        • Would my project benefit from static typing?
        • Can I use mypy to type check my existing Python code?
        • Will static typing make my programs run faster?
        • How do I type check my Python 2 code?
        • Is mypy free?
        • Can I use duck typing with mypy?
        • I like Python and I have no need for static typing
        • How are mypy programs different from normal Python?
        • How is mypy different from Cython?
        • Mypy is a cool project. Can I help?
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