Differential D8684 Diff 40955 examples/docs_snippets/docs_snippets/concepts/configuration/configured_named_solid_example.py

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	from dagster import Field, InputDefinition, Int, List, configured, pipeline, solid			from dagster import (
				Field,
				InputDefinition,
				Int,
				List,
				configured,
				pipeline,
				solid,
				)


	# start_configured_named			# start_configured_named
	@solid(			@solid(
	config_schema={			config_schema={
	"is_sample": Field(bool, is_required=False, default_value=False),			"is_sample": Field(bool, is_required=False, default_value=False),
	},			},
	input_defs=[InputDefinition("xs", List[Int])],			input_defs=[InputDefinition("xs", List[Int])],
	)			)
	def get_dataset(context, xs):			def get_dataset(context, xs):
	if context.solid_config["is_sample"]:			if context.solid_config["is_sample"]:
	return xs[:5]			return xs[:5]
	else:			else:
	return xs			return xs


	# If we want to use the same solid configured in multiple ways in the same pipeline,			# If we want to use the same solid configured in multiple ways in the same pipeline,
	# we have to specify unique names when configuring them:			# we have to specify unique names when configuring them:
	sample_dataset = configured(get_dataset, name="sample_dataset")({"is_sample": True})			sample_dataset = configured(get_dataset, name="sample_dataset")(
	full_dataset = configured(get_dataset, name="full_dataset")({"is_sample": False})			{"is_sample": True}
				)
				full_dataset = configured(get_dataset, name="full_dataset")(
				{"is_sample": False}
				)


	@pipeline			@pipeline
	def dataset_pipeline():			def dataset_pipeline():
	sample_dataset()			sample_dataset()
	full_dataset()			full_dataset()


	# end_configured_named			# end_configured_named