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https://github.com/aptly-dev/aptly.git
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Upgrade AWS SDK to the latest version
This commit is contained in:
+29
-9
@@ -1,4 +1,4 @@
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// THIS FILE IS AUTOMATICALLY GENERATED. DO NOT EDIT.
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// Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT.
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package machinelearning
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@@ -11,7 +11,7 @@ import (
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// WaitUntilBatchPredictionAvailable uses the Amazon Machine Learning API operation
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// DescribeBatchPredictions to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// If the condition is not met within the max attempt window, an error will
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// be returned.
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func (c *MachineLearning) WaitUntilBatchPredictionAvailable(input *DescribeBatchPredictionsInput) error {
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return c.WaitUntilBatchPredictionAvailableWithContext(aws.BackgroundContext(), input)
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@@ -44,7 +44,12 @@ func (c *MachineLearning) WaitUntilBatchPredictionAvailableWithContext(ctx aws.C
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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req, _ := c.DescribeBatchPredictionsRequest(input)
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var inCpy *DescribeBatchPredictionsInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeBatchPredictionsRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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@@ -57,7 +62,7 @@ func (c *MachineLearning) WaitUntilBatchPredictionAvailableWithContext(ctx aws.C
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// WaitUntilDataSourceAvailable uses the Amazon Machine Learning API operation
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// DescribeDataSources to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// If the condition is not met within the max attempt window, an error will
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// be returned.
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func (c *MachineLearning) WaitUntilDataSourceAvailable(input *DescribeDataSourcesInput) error {
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return c.WaitUntilDataSourceAvailableWithContext(aws.BackgroundContext(), input)
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@@ -90,7 +95,12 @@ func (c *MachineLearning) WaitUntilDataSourceAvailableWithContext(ctx aws.Contex
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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req, _ := c.DescribeDataSourcesRequest(input)
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var inCpy *DescribeDataSourcesInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeDataSourcesRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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@@ -103,7 +113,7 @@ func (c *MachineLearning) WaitUntilDataSourceAvailableWithContext(ctx aws.Contex
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// WaitUntilEvaluationAvailable uses the Amazon Machine Learning API operation
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// DescribeEvaluations to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// If the condition is not met within the max attempt window, an error will
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// be returned.
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func (c *MachineLearning) WaitUntilEvaluationAvailable(input *DescribeEvaluationsInput) error {
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return c.WaitUntilEvaluationAvailableWithContext(aws.BackgroundContext(), input)
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@@ -136,7 +146,12 @@ func (c *MachineLearning) WaitUntilEvaluationAvailableWithContext(ctx aws.Contex
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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req, _ := c.DescribeEvaluationsRequest(input)
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var inCpy *DescribeEvaluationsInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeEvaluationsRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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@@ -149,7 +164,7 @@ func (c *MachineLearning) WaitUntilEvaluationAvailableWithContext(ctx aws.Contex
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// WaitUntilMLModelAvailable uses the Amazon Machine Learning API operation
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// DescribeMLModels to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// If the condition is not met within the max attempt window, an error will
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// be returned.
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func (c *MachineLearning) WaitUntilMLModelAvailable(input *DescribeMLModelsInput) error {
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return c.WaitUntilMLModelAvailableWithContext(aws.BackgroundContext(), input)
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@@ -182,7 +197,12 @@ func (c *MachineLearning) WaitUntilMLModelAvailableWithContext(ctx aws.Context,
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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req, _ := c.DescribeMLModelsRequest(input)
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var inCpy *DescribeMLModelsInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeMLModelsRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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