#!/bin/bash
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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,

#     elinux:          General Embedded Linux options shared by all flavors.
#     elinux_aarch64:  Embedded Linux options for aarch64 (ARM64) CPU support.
#     elinux_armhf:    Embedded Linux options for armhf (ARMv7) CPU support.
#
# Release build options (for all operating systems)
#     release_base:                    Common options for all builds on all operating systems.

#!/bin/bash
#
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# 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,

# docker. If you'd rather build with a local tool chain instead, you'll need to
# figure out all the tools you need in your environment to make that work.
export BUILD_WITH_CONTAINER ?= 0

ifeq ($(BUILD_WITH_CONTAINER),1)

# An export free of arguments in a Makefile places all variables in the Makefile into the
# environment. This is needed to allow overrides from Makefile.overrides.mk.
export

receive it, in any medium, provided that you conspicuously and
appropriately publish on each copy an appropriate copyright notice;
keep intact all notices stating that this License and any
non-permissive terms added in accord with section 7 apply to the code;
keep intact all notices of the absence of any warranty; and give all
recipients a copy of this License along with the Program.

  You may charge any price or no price for each copy that you convey,

        Range.closed(Integer.MIN_VALUE, Integer.MAX_VALUE),
        ContiguousSet.create(Range.<Integer>all(), integers()).range());
    assertEquals(
        Range.atLeast(Integer.MIN_VALUE),
        ContiguousSet.create(Range.<Integer>all(), integers()).range(CLOSED, OPEN));
    assertEquals(
        Range.all(), ContiguousSet.create(Range.<Integer>all(), integers()).range(OPEN, OPEN));
    assertEquals(
        Range.atMost(Integer.MAX_VALUE),

This might all sound abstract. Don't worry. You'll see all this in action in the [Tutorial - User Guide](tutorial/index.md){.internal-link target=_blank}.

The important thing is that by using standard Python types, in a single place (instead of adding more classes, decorators, etc), **FastAPI** will do a lot of the work for you.

/// info

#!/bin/bash
# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# 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,

			}
			return nil
		},
		RunE: func(cmd *cobra.Command, args []string) error {
			kubeClient, err := ctx.CLIClient()
			if err != nil {
				return fmt.Errorf("failed to create Kubernetes client: %v", err)
			}
			ns := ctx.NamespaceOrDefault(ctx.Namespace())

			// Delete all waypoints if the --all flag is set
			if deleteAll {
				return deleteWaypoints(cmd, kubeClient, ns, nil)

// Copyright 2022 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build goexperiment.arenas

/*
The arena package provides the ability to allocate memory for a collection
of Go values and free that space manually all at once, safely. The purpose
of this functionality is to improve efficiency: manually freeing memory