/* Copyright 2020 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,

				break
			}
			bucket, prefix := path2BucketObject(k)
			stopFn := globalScannerMetrics.time(scannerMetricCheckMissing)
			f.updateCurrentPath(k)

			if bucket != resolver.bucket {
				// Bucket might be missing as well with abandoned children.
				// make sure it is created first otherwise healing won't proceed
				// for objects.
				bgSeq.queueHealTask(healSource{
					bucket: bucket,
				}, madmin.HealItemBucket)

* Microsoft SQL Server, etc.

In this example, we'll use **SQLite**, because it uses a single file and Python has integrated support. So, you can copy this example and run it as is.

Later, for your production application, you might want to use a database server like **PostgreSQL**.

/// tip

    *   Add a fast path for default `random_uniform`
    *   `random_seed` documentation improvement.
    *   `RandomBinomial` broadcasts and appends the sample shape to the left
        rather than the right.
    *   Added `tf.random.stateless_binomial`, `tf.random.stateless_gamma`,
        `tf.random.stateless_poisson`
    *   `tf.random.stateless_uniform` now supports unbounded sampling of `int`
        types.

    * Generating **automatic errors** returned to the client when the data is invalid.
* **Document** the API using OpenAPI:
    * which is then used by the automatic interactive documentation user interfaces.

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}.

labels.backup_configuration=Back Up
labels.backup_name=Name
labels.backup_bulk_file=Bulk File
labels.backup_button_upload=Upload
labels.process_time_is_exceeded=The limit of a search time was exceeded. The partial result might be displayed.
labels.user_given_name=First Name
labels.givenName=First Name
labels.user_surname=Last Name
labels.surame=Last Name
labels.user_mail=E-mail
labels.mail=E-mail

              if (entry.getLowerBound().compareTo(subRange.upperBound) >= 0) {
                return endOfData();
              } else if (entry.getUpperBound().compareTo(subRange.lowerBound) > 0) {
                // this might not be true e.g. at the start of the iteration
                return immutableEntry(entry.getKey().intersection(subRange), entry.getValue());
              }
            }
            return endOfData();
          }

/* Copyright 2017 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,

// Copyright 2009 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.

package bytes

// Simple byte buffer for marshaling data.

import (
	"errors"
	"io"
	"unicode/utf8"
)

// smallBufferSize is an initial allocation minimal capacity.
const smallBufferSize = 64

/* Copyright 2020 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,