yambs.config
index
/home/vkottler/src/vkottler/workspace/yambs/yambs/config/__init__.py

A module implementing a configuration interface for the package.

 
Package Contents
       
board
common
native

 
Classes
       
yambs.config.common.CommonConfig(yambs.schemas.YambsDictCodec, vcorelib.dict.codec.BasicDictCodec)
Config

 
class Config(yambs.config.common.CommonConfig)
    Config(data: Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]] = None, schemas: vcorelib.schemas.base.SchemaMap = None, dest_attr: str = 'data', verify: bool = True) -> None
 
The top-level configuration object for the package.
 
 
Method resolution order:
Config
yambs.config.common.CommonConfig
yambs.schemas.YambsDictCodec
vcorelib.dict.codec.BasicDictCodec
vcorelib.dict.codec.DictCodec
vcorelib.dict.codec.JsonCodec
abc.ABC
vcorelib.schemas.mixins.SchemaMixin
builtins.object

Methods defined here:
boards(self) -> Iterator[Tuple[yambs.config.board.Board, Dict[str, Any]]]
Iterate over boards.
init(self, data: Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]]) -> None
Initialize this instance.

Data and other attributes defined here:
__abstractmethods__ = frozenset()
__annotations__ = {'board_data': typing.List[yambs.config.board.Board], 'boards_by_name': typing.Dict[str, yambs.config.board.Board]}

Methods inherited from yambs.config.common.CommonConfig:
directory(self, name: str, mkdir: bool = True, root: pathlib.Path = None) -> pathlib.Path
Get a configurable directory.

Class methods inherited from yambs.config.common.CommonConfig:
load(path: Union[pathlib.Path, str, NoneType] = 'yambs.yaml', package_config: str = 'yambs.yaml', root: Union[pathlib.Path, str, NoneType] = None) -> ~T from abc.ABCMeta
Load a configuration.

Readonly properties inherited from yambs.config.common.CommonConfig:
third_party_script
Get the path to the third-party build script.

Data and other attributes inherited from yambs.schemas.YambsDictCodec:
default_schemas = {'Variant': <vcorelib.schemas.json.JsonSchema ob...chemas.json.JsonSchema object at 0x7f74c031a7b0>}

Methods inherited from vcorelib.dict.codec.BasicDictCodec:
asdict(self) -> Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]]
Obtain a dictionary representing this instance.

Methods inherited from vcorelib.dict.codec.DictCodec:
__init__(self, data: Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]] = None, schemas: vcorelib.schemas.base.SchemaMap = None, dest_attr: str = 'data', verify: bool = True) -> None
Initialize this instance.

Class methods inherited from vcorelib.dict.codec.DictCodec:
create(data: Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]] = None, schemas: vcorelib.schemas.base.SchemaMap = None, dest_attr: str = 'data', verify: bool = True) -> ~V from abc.ABCMeta
A factory method to create an instance.

Methods inherited from vcorelib.dict.codec.JsonCodec:
__copy__(self: ~T) -> ~T
Create another instance based on this instance's data.
__eq__(self, other) -> bool
Determine if this instance is equal to another.
__str__(self) -> str
Use the dictionary representation of this instance for string
representation.
encode(self, pathlike: Union[pathlib.Path, str, NoneType], arbiter: vcorelib.io.arbiter.DataArbiter = <vcorelib.io.arbiter.DataArbiter object at 0x7f74c0e42240>, **kwargs) -> Tuple[bool, int]
Encode this object instance to a file.

Class methods inherited from vcorelib.dict.codec.JsonCodec:
decode(pathlike: Union[pathlib.Path, str, NoneType], arbiter: vcorelib.io.arbiter.DataArbiter = <vcorelib.io.arbiter.DataArbiter object at 0x7f74c0e42240>, schemas: vcorelib.schemas.base.SchemaMap = None, dest_attr: str = 'data', verify: bool = True, require_success: bool = True, default_data: Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]] = None, **kwargs) -> ~T from abc.ABCMeta
Decode an object instance from data loaded from a file.
file_cache(pathlike: Union[pathlib.Path, str, NoneType], arbiter: vcorelib.io.arbiter.DataArbiter = <vcorelib.io.arbiter.DataArbiter object at 0x7f74c0e42240>, encode_kwargs: Dict[str, Any] = None, require_success: bool = False, **kwargs) -> Iterator[~T] from abc.ABCMeta
Manage an instance of this class as a disk-backed file.
normalize(data: Union[Dict[str, Union[str, int, float, bool, NoneType, Dict[str, Union[str, int, float, bool, NoneType]], List[Union[str, int, float, bool, NoneType]]]], ~T]) -> ~T from abc.ABCMeta
Ensure that some object is an instance of this class.

Data descriptors inherited from vcorelib.dict.codec.JsonCodec:
__dict__
dictionary for instance variables
__weakref__
list of weak references to the object

Data and other attributes inherited from vcorelib.dict.codec.JsonCodec:
__hash__ = None

Methods inherited from vcorelib.schemas.mixins.SchemaMixin:
validate(self, valid_attr: str = 'data') -> None
Validate an instance attribute based on this instance's schema.

Class methods inherited from vcorelib.schemas.mixins.SchemaMixin:
schema_name() -> str from abc.ABCMeta
A default name for this class's schema.

 
Data
        Dict = typing.Dict
Iterator = typing.Iterator
List = typing.List
Tuple = typing.Tuple