vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference

//   - strict
//   - non-strict
//
// In strict mode, parse only accepts ETags that
// are AWS S3 compatible. In particular, an AWS
// S3 ETag always consists of a 128 bit checksum
// value and an optional -<part-number> suffix.
// Therefore, s must have the following form in
// strict mode:  <32-hex-characters>[-<integer>]
//
// In non-strict mode, parse also accepts ETags

        )
    else:
        field_info = field_info or FieldInfo()
    kwargs = {"name": name, "field_info": field_info}
    if PYDANTIC_V2:
        kwargs.update({"mode": mode})
    else:
        kwargs.update(
            {
                "type_": type_,
                "class_validators": class_validators,
                "default": default,
                "required": required,

		o := GetObjectRetentionMeta(tt.metadata)
		if o.Mode != tt.expected.Mode {
			t.Fatalf("Case %d expected %v, got %v", i, tt.expected.Mode, o.Mode)
		}
	}
}

func TestGetObjectLegalHoldMeta(t *testing.T) {
	tests := []struct {
		metadata map[string]string
		expected ObjectLegalHold
	}{
		{
			metadata: map[string]string{
				"x-amz-object-lock-mode": "governance",
			},
			expected: ObjectLegalHold{},

	globalWindowsOSName            = "windows"
	globalMacOSName                = "darwin"
	globalMinioModeFS              = "mode-server-fs"
	globalMinioModeErasureSD       = "mode-server-xl-single"
	globalMinioModeErasure         = "mode-server-xl"
	globalMinioModeDistErasure     = "mode-server-distributed-xl"
	globalDirSuffix                = "__XLDIR__"
	globalDirSuffixWithSlash       = globalDirSuffix + slashSeparator

 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 * 
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

I'll tell you a bit more about these **concepts** here, and that would hopefully give you the **intuition** you would need to decide how to deploy your API in very different environments, possibly even in **future** ones that don't exist yet.

By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**.

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you 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

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you 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

# Dockerfile for more details:
# - us-central1-docker.pkg.dev/tensorflow-sigs/build-arm64:jax-latest-multi-python
# - us-central1-docker.pkg.dev/tensorflow-sigs/build-arm64:tf-latest-multi-python

set -exo pipefail

function is_continuous_or_release() {
  [[ "$KOKORO_JOB_TYPE" == "CONTINUOUS_INTEGRATION" ]] || [[ "$KOKORO_JOB_TYPE" == "RELEASE" ]]
}

# Move into the directory of the script
cd "$(dirname "$0")"