},
	ErrInvalidAccessKeyID: {
		Code:           "InvalidAccessKeyId",
		Description:    "The Access Key Id you provided does not exist in our records.",
		HTTPStatusCode: http.StatusForbidden,
	},
	ErrAccessKeyDisabled: {
		Code:           "InvalidAccessKeyId",
		Description:    "Your account is disabled; please contact your administrator.",
		HTTPStatusCode: http.StatusForbidden,
	},
	ErrInvalidArgument: {

### Step 1: Add AMQP endpoint to MinIO

The AMQP configuration is located under the sub-system `notify_amqp` top-level key. Create a configuration key-value pair here for your AMQP instance. The key is a name for your AMQP endpoint, and the value is a collection of key-value parameters described in the table below.

```
KEY:
notify_amqp[:name]  publish bucket notifications to AMQP endpoints

ARGS:

    ask_cuda_compute_capabilities = (
        'Please specify a list of comma-separated CUDA compute capabilities '
        'you want to build with.\nYou can find the compute capability of your '
        'device at: https://developer.nvidia.com/cuda-gpus. Each capability '
        'can be specified as "x.y" or "compute_xy" to include both virtual and'

 *
 * <h3>Performance</h3>
 *
 * <p>Avoid passing message arguments that are expensive to compute; your code will always compute
 * them, even though they usually won't be needed. If you have such arguments, use the conventional
 * if/throw idiom instead.
 *
 * <p>Depending on your message arguments, memory may be allocated for boxing and varargs array

      // if "formalType" is <? super Foo>, "this" can be:
      // Foo, SuperFoo, <? super Foo> or <? super SuperFoo>.
      return every(your.getUpperBounds()).isSupertypeOf(runtimeType)
          && every(your.getLowerBounds()).isSubtypeOf(runtimeType);
    }
    return canonicalizeWildcardsInType(runtimeType).equals(canonicalizeWildcardsInType(formalType));
  }

  /**

# configs. If your project fails to build with Clang, you can use these
# unsupported flags to replace the release flags in your build command.
# However, please note that the old toolchain is no longer officially supported
# by TensorFlow and the unsupported configs will be removed soon b/299962977. We
# strongly recommend that you migrate to Clang as your compiler for TensorFlow

/**
 * Factory for [calls][Call], which can be used to send HTTP requests and read their responses.
 *
 * ## OkHttpClients Should Be Shared
 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client

/*
 * Copyright (C) 2007 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software distributed under the License

 *
 * <h3>Performance</h3>
 *
 * <p>Avoid passing message arguments that are expensive to compute; your code will always compute
 * them, even though they usually won't be needed. If you have such arguments, use the conventional
 * if/throw idiom instead.
 *
 * <p>Depending on your message arguments, memory may be allocated for boxing and varargs array

/*
 * Copyright (C) 2007 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,