def merge_schema_and_instance_inputs(schema_inputs, instance_inputs):
flattened_schema_inputs = utils.flatten_schema(schema_inputs)
merged_inputs = dict(flattened_schema_inputs.items() +
instance_inputs.items())
validate_missing_inputs(merged_inputs, schema_inputs)
return merged_inputs
def merge_schema_and_instance_inputs(schema_inputs,
instance_inputs):
flattened_schema_inputs = utils.flatten_schema(schema_inputs)
merged_inputs = flattened_schema_inputs.copy()
merged_inputs.update(instance_inputs)
validate_missing_inputs(merged_inputs)
validate_inputs_types(merged_inputs, schema_inputs)
return merged_inputs
def merge_schema_and_instance_inputs(schema_inputs,
instance_inputs):
flattened_schema_inputs = flatten_schema(schema_inputs)
merged_inputs = dict(
flattened_schema_inputs.items() +
instance_inputs.items())
validate_missing_inputs(merged_inputs)
validate_inputs_types(merged_inputs, schema_inputs)
return merged_inputs
def merge_schema_and_instance_inputs(schema_inputs, instance_inputs):
flattened_schema_inputs = utils.flatten_schema(schema_inputs)
merged_inputs = dict(flattened_schema_inputs)
merged_inputs.update(instance_inputs)
for k, v in _retrieve_types(schema_inputs).items():
if k not in merged_inputs or not isinstance(merged_inputs[k], dict):
continue
merged_inputs[k].update(v)
validate_missing_inputs(merged_inputs, schema_inputs)
return merged_inputs
