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image-captioning-api / src /captioning /config /__init__.py

deploy: 17ac72a6e2a5a8c6e90ff79748114d9b6dd6aa91 with Space config header

d1ecac0 28 days ago

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"""Configuration package — Pydantic schemas and YAML loaders.
Why a dedicated package? Configs are the project's *type system*. Every other
module accepts an `AppConfig` (or a sub-config) instead of pulling globals,
which makes them testable in isolation and trivially overridable in CI / serve.
"""

from captioning.config.loader import load_config
from captioning.config.schema import (
    AppConfig,
    BaselineDecodeConfig,
    CompareConfig,
    ComparedModelConfig,
    DataConfig,
    ModelConfig,
    ServeConfig,
    TrainConfig,
)

__all__ = [
    "AppConfig",
    "BaselineDecodeConfig",
    "CompareConfig",
    "ComparedModelConfig",
    "DataConfig",
    "ModelConfig",
    "ServeConfig",
    "TrainConfig",
    "load_config",
]

	"""Configuration package — Pydantic schemas and YAML loaders.

	Why a dedicated package? Configs are the project's type system. Every other
	module accepts an `AppConfig` (or a sub-config) instead of pulling globals,
	which makes them testable in isolation and trivially overridable in CI / serve.
	"""

	from captioning.config.loader import load_config
	from captioning.config.schema import (
	AppConfig,
	BaselineDecodeConfig,
	CompareConfig,
	ComparedModelConfig,
	DataConfig,
	ModelConfig,
	ServeConfig,
	TrainConfig,
	)

	__all__ = [
	"AppConfig",
	"BaselineDecodeConfig",
	"CompareConfig",
	"ComparedModelConfig",
	"DataConfig",
	"ModelConfig",
	"ServeConfig",
	"TrainConfig",
	"load_config",
	]