modelsΒΆ
Pydantic models used throughout mio.
These models should be kept as generic as possible, and any refinements needed for a specific acquisition class should be defined within that module, inheriting from the relevant parent class. Rule of thumb: keep what is common common, and what is unique unique.
- config
- data
- dataset
- mixins
ConfigYAMLMixinConfigYAMLMixin.HEADER_FIELDSConfigYAMLMixin.config_models()ConfigYAMLMixin.config_sources()ConfigYAMLMixin.fill_mio_model()ConfigYAMLMixin.from_any()ConfigYAMLMixin.from_id()ConfigYAMLMixin.from_yaml()ConfigYAMLMixin.idConfigYAMLMixin.iter_configs()ConfigYAMLMixin.mio_modelConfigYAMLMixin.mio_versionConfigYAMLMixin.model_config
ConfigYamlHeaderYAMLMixinYamlDumperyaml_peek()
- models