The mypy configuration file¶
Mypy is very configurable. This is most useful when introducing typing to an existing codebase. See Using mypy with an existing codebase for concrete advice for that situation.
Mypy supports reading configuration settings from a file with the following precedence order:
./mypy.ini
./.mypy.ini
./pyproject.toml
./setup.cfg
$XDG_CONFIG_HOME/mypy/config
~/.config/mypy/config
~/.mypy.ini
It is important to understand that there is no merging of configuration
files, as it would lead to ambiguity. The --config-file
command-line flag has the highest precedence and
must be correct; otherwise mypy will report an error and exit. Without the
command line option, mypy will look for configuration files in the
precedence order above.
Most flags correspond closely to command-line flags but there are some differences in flag names and some flags may take a different value based on the module being processed.
Some flags support user home directory and environment variable expansion.
To refer to the user home directory, use ~
at the beginning of the path.
To expand environment variables use $VARNAME
or ${VARNAME}
.
Config file format¶
The configuration file format is toml (like pyproject.toml) or the legacy
ini file format. It should contain
section names in square brackets and flag settings of the form
NAME = VALUE. Comments start with #
characters.
A section named
[mypy]
must be present. This specifies the global flags.Additional sections named
[mypy-PATTERN1,PATTERN2,...]
may be present, wherePATTERN1
,PATTERN2
, etc., are comma-separated patterns of fully-qualified module names, with some components optionally replaced by the ‘*’ character (e.g.foo.bar
,foo.bar.*
,foo.*.baz
). These sections specify additional flags that only apply to modules whose name matches at least one of the patterns.A pattern of the form
qualified_module_name
matches only the named module, whiledotted_module_name.*
matchesdotted_module_name
and any submodules (sofoo.bar.*
would match all offoo.bar
,foo.bar.baz
, andfoo.bar.baz.quux
).Patterns may also be “unstructured” wildcards, in which stars may appear in the middle of a name (e.g
site.*.migrations.*
). Stars match zero or more module components (sosite.*.migrations.*
can matchsite.migrations
).When options conflict, the precedence order for configuration is:
Inline configuration in the source file
Sections with concrete module names (
foo.bar
)Sections with “unstructured” wildcard patterns (
foo.*.baz
), with sections later in the configuration file overriding sections earlier.Sections with “well-structured” wildcard patterns (
foo.bar.*
), with more specific overriding more general.Command line options.
Top-level configuration file options.
The difference in precedence order between “structured” patterns (by specificity) and “unstructured” patterns (by order in the file) is unfortunate, and is subject to change in future versions.
Note
The warn_unused_configs
flag may be useful to debug misspelled
section names.
Note
Configuration flags are liable to change between releases.
Per-module and global options¶
Some of the config options may be set either globally (in the [mypy]
section)
or on a per-module basis (in sections like [mypy-foo.bar]
).
If you set an option both globally and for a specific module, the module configuration options take precedence. This lets you set global defaults and override them on a module-by-module basis. If multiple pattern sections match a module, the options from the most specific section are used where they disagree.
Some other options, as specified in their description,
may only be set in the global section ([mypy]
).
Inverting option values¶
Options that take a boolean value may be inverted by adding no_
to
their name or by (when applicable) swapping their prefix from
disallow
to allow
(and vice versa).
Example mypy.ini
¶
Here is an example of a mypy.ini
file. To use this config file, place it at the root
of your repo and run mypy.
# Global options:
[mypy]
warn_return_any = True
warn_unused_configs = True
# Per-module options:
[mypy-mycode.foo.*]
disallow_untyped_defs = True
[mypy-mycode.bar]
warn_return_any = False
[mypy-somelibrary]
ignore_missing_imports = True
This config file specifies two global options in the [mypy]
section. These two
options will:
Report an error whenever a function returns a value that is inferred to have type
Any
.Report any config options that are unused by mypy. (This will help us catch typos when making changes to our config file).
Next, this module specifies three per-module options. The first two options change how mypy
type checks code in mycode.foo.*
and mycode.bar
, which we assume here are two modules
that you wrote. The final config option changes how mypy type checks somelibrary
, which we
assume here is some 3rd party library you’ve installed and are importing. These options will:
Selectively disallow untyped function definitions only within the
mycode.foo
package – that is, only for function definitions defined in themycode/foo
directory.Selectively disable the “function is returning any” warnings within
mycode.bar
only. This overrides the global default we set earlier.Suppress any error messages generated when your codebase tries importing the module
somelibrary
. This is useful ifsomelibrary
is some 3rd party library missing type hints.
Based features¶
- default_return¶
- Type:
boolean
- Default:
True
Causes an unannotated return type to be inferred as
None
.def foo(i: int): print(i) reveal_type(foo) # revealed type is "def(int) -> None"
It is required to disable this option for any dependencies that are not utilizing it, as they likely have untyped returns.
[[tool.mypy-overrides]] module = ["pytest.*"] default_return = false
This plays conservatively with
allow_untyped_defs
andallow_incomplete_defs
.# mypy: allow-incomplete-defs, allow-untyped-defs def foo(): ... # def() -> Any def bar(a, b): ... # def(Any, Any) -> Any def foo(a: int, b): ... # def(int, Any) -> None
- bare_literals¶
- Type:
boolean
- Default:
True
With this feature it is legal to use a literal
int
,bool
orEnum
in a type position when it is safe to do so. This safety is determined by whether__future__.annotations
is active, if the file is a stub, if the literal is used in a type operation, and if the literal is used in an expression position (TypeVar
etc).
- incomplete_is_typed¶
- Type:
boolean
- Default:
False
A flag that assists with
disallow_untyped_calls
to partial functions, it indicates that a partially typed function should be regarded as fully typed. This flag is different to most other options in that it applies to where the function is defined, not where it is called from.
- no_untyped_usage¶
- Type:
boolean
- Default:
True
Untyped
is a specialized form ofAny
that can he helpful when gradually adopting type annotations:a: Untyped a = 1 # error: usage of untyped name b = a # error: usage of untyped name
Basedmypy can now detect usage of partially typed functions:
def foo(a, b=1): ... # inferred as def (a: Untyped, b: int = ...) def bar(a: int, b): ... # inferred as def (a: int, b: Untyped) foo(1, 2) # error: call to incomplete function foo(1, 2) # error: call to incomplete function
- ignore_any_from_error¶
- Type:
boolean
- Default:
True
Often times, a small error can cause hundreds of errors, this feature helps to surface only Any expressions that aren’t from errors.
- ignore_missing_py_typed¶
- Type:
boolean
- Default:
False
Use the types from a package, even if it doesn’t have a
py.typed
file.You probably want to set this on a module override.
[[tool.mypy.overrides]] module = ["someuntypedmodule.*"] ignore_missing_py_typed = true
Import discovery¶
For more information, see the Import discovery section of the command line docs.
- mypy_path¶
- Type:
string
Specifies the paths to use, after trying the paths from
MYPYPATH
environment variable. Useful if you’d like to keep stubs in your repo, along with the config file. Multiple paths are always separated with a:
or,
regardless of the platform. User home directory and environment variables will be expanded.Relative paths are treated relative to the working directory of the mypy command, not the config file. Use the
MYPY_CONFIG_FILE_DIR
environment variable to refer to paths relative to the config file (e.g.mypy_path = $MYPY_CONFIG_FILE_DIR/src
).This option may only be set in the global section (
[mypy]
).Note: On Windows, use UNC paths to avoid using
:
(e.g.\\127.0.0.1\X$\MyDir
whereX
is the drive letter).
- files¶
- Type:
comma-separated list of strings
A comma-separated list of paths which should be checked by mypy if none are given on the command line. Supports recursive file globbing using
glob
, where*
(e.g.*.py
) matches files in the current directory and**/
(e.g.**/*.py
) matches files in any directories below the current one. User home directory and environment variables will be expanded.This option may only be set in the global section (
[mypy]
).
- modules¶
- Type:
comma-separated list of strings
A comma-separated list of packages which should be checked by mypy if none are given on the command line. Mypy will not recursively type check any submodules of the provided module.
This option may only be set in the global section (
[mypy]
).
- packages¶
- Type:
comma-separated list of strings
A comma-separated list of packages which should be checked by mypy if none are given on the command line. Mypy will recursively type check any submodules of the provided package. This flag is identical to
modules
apart from this behavior.This option may only be set in the global section (
[mypy]
).
- exclude¶
- Type:
regular expression
A regular expression that matches file names, directory names and paths which mypy should ignore while recursively discovering files to check. Use forward slashes (
/
) as directory separators on all platforms.[mypy] exclude = (?x)( ^one\.py$ # files named "one.py" | two\.pyi$ # or files ending with "two.pyi" | ^three\. # or files starting with "three." )
Crafting a single regular expression that excludes multiple files while remaining human-readable can be a challenge. The above example demonstrates one approach.
(?x)
enables theVERBOSE
flag for the subsequent regular expression, whichignores most whitespace and supports comments
. The above is equivalent to:(^one\.py$|two\.pyi$|^three\.)
.For more details, see
--exclude
.This option may only be set in the global section (
[mypy]
).Note
Note that the TOML equivalent differs slightly. It can be either a single string (including a multi-line string) – which is treated as a single regular expression – or an array of such strings. The following TOML examples are equivalent to the above INI example.
Array of strings:
[tool.mypy] exclude = [ "^one\\.py$", # TOML's double-quoted strings require escaping backslashes 'two\.pyi$', # but TOML's single-quoted strings do not '^three\.', ]
A single, multi-line string:
[tool.mypy] exclude = '''(?x)( ^one\.py$ # files named "one.py" | two\.pyi$ # or files ending with "two.pyi" | ^three\. # or files starting with "three." )''' # TOML's single-quoted strings do not require escaping backslashes
- namespace_packages¶
- Type:
boolean
- Default:
True
Enables PEP 420 style namespace packages. See the corresponding flag
--no-namespace-packages
for more information.This option may only be set in the global section (
[mypy]
).
- explicit_package_bases¶
- Type:
boolean
- Default:
False
This flag tells mypy that top-level packages will be based in either the current directory, or a member of the
MYPYPATH
environment variable ormypy_path
config option. This option is only useful in the absence of __init__.py. See Mapping file paths to modules for details.This option may only be set in the global section (
[mypy]
).
- ignore_missing_imports¶
- Type:
boolean
- Default:
False
Suppresses error messages about imports that cannot be resolved.
If this option is used in a per-module section, the module name should match the name of the imported module, not the module containing the import statement.
- follow_imports¶
- Type:
string
- Default:
normal
Directs what to do with imports when the imported module is found as a
.py
file and not part of the files, modules and packages provided on the command line.The four possible values are
normal
,silent
,skip
anderror
. For explanations see the discussion for the--follow-imports
command line flag.Using this option in a per-module section (potentially with a wildcard, as described at the top of this page) is a good way to prevent mypy from checking portions of your code.
If this option is used in a per-module section, the module name should match the name of the imported module, not the module containing the import statement.
- follow_imports_for_stubs¶
- Type:
boolean
- Default:
False
Determines whether to respect the
follow_imports
setting even for stub (.pyi
) files.Used in conjunction with
follow_imports=skip
, this can be used to suppress the import of a module fromtypeshed
, replacing it withAny
.Used in conjunction with
follow_imports=error
, this can be used to make any use of a particulartypeshed
module an error.Note
This is not supported by the mypy daemon.
- python_executable¶
- Type:
string
Specifies the path to the Python executable to inspect to collect a list of available PEP 561 packages. User home directory and environment variables will be expanded. Defaults to the executable used to run mypy.
This option may only be set in the global section (
[mypy]
).
- no_site_packages¶
- Type:
boolean
- Default:
False
Disables using type information in installed packages (see PEP 561). This will also disable searching for a usable Python executable. This acts the same as
--no-site-packages
command line flag.
- no_silence_site_packages¶
- Type:
boolean
- Default:
False
Enables reporting error messages generated within installed packages (see PEP 561 for more details on distributing type information). Those error messages are suppressed by default, since you are usually not able to control errors in 3rd party code.
This option may only be set in the global section (
[mypy]
).
Platform configuration¶
- python_version¶
- Type:
string
Specifies the Python version used to parse and check the target program. The string should be in the format
MAJOR.MINOR
– for example2.7
. The default is the version of the Python interpreter used to run mypy.This option may only be set in the global section (
[mypy]
).
- platform¶
- Type:
string
Specifies the OS platform for the target program, for example
darwin
orwin32
(meaning OS X or Windows, respectively). The default is the current platform as revealed by Python’ssys.platform
variable.This option may only be set in the global section (
[mypy]
).
- always_true¶
- Type:
comma-separated list of strings
Specifies a list of variables that mypy will treat as compile-time constants that are always true.
- always_false¶
- Type:
comma-separated list of strings
Specifies a list of variables that mypy will treat as compile-time constants that are always false.
Disallow dynamic typing¶
For more information, see the Disallow dynamic typing section of the command line docs.
- disallow_any_unimported¶
- Type:
boolean
- Default:
True
Disallows usage of types that come from unfollowed imports (anything imported from an unfollowed import is automatically given a type of
Any
).
- disallow_any_expr¶
- Type:
boolean
- Default:
True
Disallows all expressions in the module that have type
Any
.
- disallow_any_decorated¶
- Type:
boolean
- Default:
True
Disallows functions that have
Any
in their signature after decorator transformation.
- disallow_any_explicit¶
- Type:
boolean
- Default:
True
Disallows explicit
Any
in type positions such as type annotations and generic type parameters.
- disallow_any_generics¶
- Type:
boolean
- Default:
True
Disallows usage of generic types that do not specify explicit type parameters.
- disallow_subclassing_any¶
- Type:
boolean
- Default:
True
Disallows subclassing a value of type
Any
.
Untyped definitions and calls¶
For more information, see the Untyped definitions and calls section of the command line docs.
- disallow_untyped_calls¶
- Type:
boolean
- Default:
True
Disallows calling functions without type annotations from functions with type annotations. Note that when used in per-module options, it enables/disables this check inside the module(s) specified, not for functions that come from that module(s), for example config like this:
[mypy] disallow_untyped_calls = True [mypy-some.library.*] disallow_untyped_calls = False
will disable this check inside
some.library
, not for your code that importssome.library
. If you want to selectively disable this check for all your code that importssome.library
you should instead useuntyped_calls_exclude
, for example:[mypy] disallow_untyped_calls = True untyped_calls_exclude = some.library
- untyped_calls_exclude¶
- Type:
comma-separated list of strings
Selectively excludes functions and methods defined in specific packages, modules, and classes from action of
disallow_untyped_calls
. This also applies to all submodules of packages (i.e. everything inside a given prefix). Note, this option does not support per-file configuration, the exclusions list is defined globally for all your code.
- disallow_untyped_defs¶
- Type:
boolean
- Default:
True
Disallows defining functions without type annotations or with incomplete type annotations (a superset of
disallow_incomplete_defs
).For example, it would report an error for
def f(a, b)
anddef f(a: int, b)
.
- disallow_incomplete_defs¶
- Type:
boolean
- Default:
True
Disallows defining functions with incomplete type annotations, while still allowing entirely unannotated definitions.
For example, it would report an error for
def f(a: int, b)
but notdef f(a, b)
.
- check_untyped_defs¶
- Type:
boolean
- Default:
True
Type-checks the interior of functions without type annotations.
- disallow_untyped_decorators¶
- Type:
boolean
- Default:
True
Reports an error whenever a function with type annotations is decorated with a decorator without annotations.
None and Optional handling¶
For more information, see the None and Optional handling section of the command line docs.
- implicit_optional¶
- Type:
boolean
- Default:
False
Causes mypy to treat parameters with a
None
default value as having an implicit optional type (T | None
).Note: This was True by default in mypy versions 0.980 and earlier.
- strict_optional¶
- Type:
boolean
- Default:
True
Effectively disables checking of optional types and
None
values. With this option, mypy doesn’t generally check the use ofNone
values – it is treated as compatible with every type.Warning
strict_optional = false
is evil. Avoid using it and definitely do not use it without understanding what it does.
Configuring warnings¶
For more information, see the Configuring warnings section of the command line docs.
- warn_redundant_casts¶
- Type:
boolean
- Default:
True
Warns about casting an expression to its inferred type.
This option may only be set in the global section (
[mypy]
).
- warn_unused_ignores¶
- Type:
boolean
- Default:
True
Warns about unneeded
# type: ignore
comments.
- warn_no_return¶
- Type:
boolean
- Default:
True
Shows errors for missing return statements on some execution paths.
- warn_return_any¶
- Type:
boolean
- Default:
True
Shows a warning when returning a value with type
Any
from a function declared with a non-Any
return type.
- warn_unreachable¶
- Type:
boolean
- Default:
True
Shows a warning when encountering any code inferred to be unreachable or redundant after performing type analysis.
Suppressing errors¶
Note: these configuration options are available in the config file only. There is no analog available via the command line options.
- ignore_errors¶
- Type:
boolean
- Default:
False
Ignores all non-fatal errors.
Miscellaneous strictness flags¶
For more information, see the Miscellaneous strictness flags section of the command line docs.
- allow_untyped_globals¶
- Type:
boolean
- Default:
True
Causes mypy to suppress errors caused by not being able to fully infer the types of global and class variables.
- allow_redefinition¶
- Type:
boolean
- Default:
True
Allows variables to be redefined with an arbitrary type, as long as the redefinition is in the same block and nesting level as the original definition. Example where this can be useful:
def process(items: list[str]) -> None: # 'items' has type list[str] items = [item.split() for item in items] # 'items' now has type list[list[str]]
The variable must be used before it can be redefined:
def process(items: list[str]) -> None: items = "mypy" # invalid redefinition to str because the variable hasn't been used yet print(items) items = "100" # valid, items now has type str items = int(items) # valid, items now has type int
- local_partial_types¶
- Type:
boolean
- Default:
True
Disallows inferring variable type for
None
from two assignments in different scopes. This is always implicitly enabled when using the mypy daemon.
- disable_error_code¶
- Type:
comma-separated list of strings
Allows disabling one or multiple error codes globally.
- enable_error_code¶
- Type:
comma-separated list of strings
Allows enabling one or multiple error codes globally.
Note: This option will override disabled error codes from the disable_error_code option.
- implicit_reexport¶
- Type:
boolean
- Default:
True
By default, imported values to a module are treated as exported and mypy allows other modules to import them. When false, mypy will not re-export unless the item is imported using from-as or is included in
__all__
. Note that mypy treats stub files as if this is always disabled. For example:# This won't re-export the value from foo import bar # This will re-export it as bar and allow other modules to import it from foo import bar as bar # This will also re-export bar from foo import bar __all__ = ['bar']
- strict_concatenate¶
- Type:
boolean
- Default:
False
Make arguments prepended via
Concatenate
be truly positional-only.
- strict_equality¶
- type:
boolean
- default:
True
Prohibit equality checks, identity checks, and container checks between non-overlapping types.
- strict¶
- type:
boolean
- default:
True
Enable all optional error checking flags. You can see the list of flags enabled by strict mode in the full
mypy --help
output.Note: the exact list of flags enabled by
strict
may change over time.
Configuring error messages¶
For more information, see the Configuring error messages section of the command line docs.
These options may only be set in the global section ([mypy]
).
- show_error_context¶
- Type:
boolean
- Default:
True
Prefixes each error with the relevant context.
- show_column_numbers¶
- Type:
boolean
- Default:
True
Shows column numbers in error messages.
- show_error_code_links¶
- Type:
boolean
- Default:
True
Shows documentation link to corresponding error code.
- hide_error_codes¶
- Type:
boolean
- Default:
False
Hides error codes in error messages. See Error codes for more information.
- pretty¶
- Type:
boolean
- Default:
True
Use visually nicer output in error messages: use soft word wrap, show source code snippets, and show error location markers.
- color_output¶
- Type:
boolean
- Default:
True
Shows error messages with color enabled.
- error_summary¶
- Type:
boolean
- Default:
True
Shows a short summary line after error messages.
- show_absolute_path¶
- Type:
boolean
- Default:
False
Show absolute paths to files.
- force_uppercase_builtins¶
- Type:
boolean
- Default:
False
Always use
List
instead oflist
in error messages, even on Python 3.9+.
- force_union_syntax¶
- Type:
boolean
- Default:
False
Always use
Union[]
andOptional[]
for union types in error messages (instead of the|
operator), even on Python 3.10+.
Incremental mode¶
These options may only be set in the global section ([mypy]
).
- incremental¶
- Type:
boolean
- Default:
True
Enables incremental mode.
- cache_dir¶
- Type:
string
- Default:
.mypy_cache
Specifies the location where mypy stores incremental cache info. User home directory and environment variables will be expanded. This setting will be overridden by the
MYPY_CACHE_DIR
environment variable.Note that the cache is only read when incremental mode is enabled but is always written to, unless the value is set to
/dev/null
(UNIX) ornul
(Windows).
- cache_fine_grained¶
- Type:
boolean
- Default:
False
Include fine-grained dependency information in the cache for the mypy daemon.
- skip_version_check¶
- Type:
boolean
- Default:
False
Makes mypy use incremental cache data even if it was generated by a different version of mypy. (By default, mypy will perform a version check and regenerate the cache if it was written by older versions of mypy.)
- skip_cache_mtime_checks¶
- Type:
boolean
- Default:
False
Skip cache internal consistency checks based on mtime.
Advanced options¶
These options may only be set in the global section ([mypy]
).
- plugins¶
- Type:
comma-separated list of strings
A comma-separated list of mypy plugins. See Extending mypy using plugins.
- show_traceback¶
- Type:
boolean
- Default:
False
Shows traceback on fatal error.
- raise_exceptions¶
- Type:
boolean
- Default:
False
Raise exception on fatal error.
- custom_typing_module¶
- Type:
string
Specifies a custom module to use as a substitute for the
typing
module.
- custom_typeshed_dir¶
- Type:
string
This specifies the directory where mypy looks for standard library typeshed stubs, instead of the typeshed that ships with mypy. This is primarily intended to make it easier to test typeshed changes before submitting them upstream, but also allows you to use a forked version of typeshed.
User home directory and environment variables will be expanded.
Note that this doesn’t affect third-party library stubs. To test third-party stubs, for example try
MYPYPATH=stubs/six mypy ...
.
- warn_incomplete_stub¶
- Type:
boolean
- Default:
False
Warns about missing type annotations in typeshed. This is only relevant in combination with
disallow_untyped_defs
ordisallow_incomplete_defs
.
Report generation¶
If these options are set, mypy will generate a report in the specified format into the specified directory.
Warning
Generating reports disables incremental mode and can significantly slow down your workflow. It is recommended to enable reporting only for specific runs (e.g. in CI).
- any_exprs_report¶
- Type:
string
Causes mypy to generate a text file report documenting how many expressions of type
Any
are present within your codebase.
- cobertura_xml_report¶
- Type:
string
Causes mypy to generate a Cobertura XML type checking coverage report.
To generate this report, you must either manually install the lxml library or specify mypy installation with the setuptools extra
mypy[reports]
.
- html_report / xslt_html_report¶
- Type:
string
Causes mypy to generate an HTML type checking coverage report.
To generate this report, you must either manually install the lxml library or specify mypy installation with the setuptools extra
mypy[reports]
.
- linecount_report¶
- Type:
string
Causes mypy to generate a text file report documenting the functions and lines that are typed and untyped within your codebase.
- linecoverage_report¶
- Type:
string
Causes mypy to generate a JSON file that maps each source file’s absolute filename to a list of line numbers that belong to typed functions in that file.
- lineprecision_report¶
- Type:
string
Causes mypy to generate a flat text file report with per-module statistics of how many lines are typechecked etc.
Miscellaneous¶
These options may only be set in the global section ([mypy]
).
- junit_xml¶
- Type:
string
Causes mypy to generate a JUnit XML test result document with type checking results. This can make it easier to integrate mypy with continuous integration (CI) tools.
- scripts_are_modules¶
- Type:
boolean
- Default:
False
Makes script
x
become modulex
instead of__main__
. This is useful when checking multiple scripts in a single run.
- warn_unused_configs¶
- Type:
boolean
- Default:
False
Warns about per-module sections in the config file that do not match any files processed when invoking mypy. (This requires turning off incremental mode using
incremental = False
.)
- verbosity¶
- Type:
integer
- Default:
0
Controls how much debug output will be generated. Higher numbers are more verbose.
Using a pyproject.toml file¶
Instead of using a mypy.ini
file, a pyproject.toml
file (as specified by
PEP 518) may be used instead. A few notes on doing so:
The
[mypy]
section should havetool.
prepended to its name:I.e.,
[mypy]
would become[tool.mypy]
The module specific sections should be moved into
[[tool.mypy.overrides]]
sections:For example,
[mypy-packagename]
would become:
[[tool.mypy.overrides]]
module = 'packagename'
...
Multi-module specific sections can be moved into a single
[[tool.mypy.overrides]]
section with a module property set to an array of modules:For example,
[mypy-packagename,packagename2]
would become:
[[tool.mypy.overrides]]
module = [
'packagename',
'packagename2'
]
...
The following care should be given to values in the
pyproject.toml
files as compared toini
files:Strings must be wrapped in double quotes, or single quotes if the string contains special characters
Boolean values should be all lower case
Please see the TOML Documentation for more details and information on
what is allowed in a toml
file. See PEP 518 for more information on the layout
and structure of the pyproject.toml
file.
Example pyproject.toml
¶
Here is an example of a pyproject.toml
file. To use this config file, place it at the root
of your repo (or append it to the end of an existing pyproject.toml
file) and run mypy.
# mypy global options:
[tool.mypy]
python_version = "2.7"
warn_return_any = true
warn_unused_configs = true
exclude = [
'^file1\.py$', # TOML literal string (single-quotes, no escaping necessary)
"^file2\\.py$", # TOML basic string (double-quotes, backslash and other characters need escaping)
]
# mypy per-module options:
[[tool.mypy.overrides]]
module = "mycode.foo.*"
disallow_untyped_defs = true
[[tool.mypy.overrides]]
module = "mycode.bar"
warn_return_any = false
[[tool.mypy.overrides]]
module = [
"somelibrary",
"some_other_library"
]
ignore_missing_imports = true