* Canceling a task that is waiting to execute prevents that upcoming execution. Canceling a task
 * that is currently executing does not impact the ongoing run, but it does prevent a recurrence
 * from being scheduled.
 *
 * Tasks may opt-out of cancellation with `cancelable = false`. Such tasks will recur until they
 * decide not to by returning -1L.
 *
 * Task Queues
 * -----------
 *

import javax.annotation.CheckForNull;

/**
 * An extension of {@code DataInput} for reading from in-memory byte arrays; its methods offer
 * identical functionality but do not throw {@link IOException}.
 *
 * <p><b>Warning:</b> The caller is responsible for not attempting to read past the end of the
 * array. If any method encounters the end of the array prematurely, it throws {@link

/*
 * 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,

/*
 * Copyright 2012-2024 CodeLibs Project and the Others.
 *
 * 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,

# pylint: disable=g-bad-import-order
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They

			set +e # don't exit if this fails
			${MC} rm -r --force myminio/$BUCKET
			set -e # reset `e` as active
		else
			echo "Bucket '$BUCKET' does not exist, skipping purge."
		fi
	fi

	# Create the bucket if it does not exist and set objectlocking if enabled (NOTE: versioning will be not changed if OBJECTLOCKING is set because it enables versioning to the Buckets created)
	if ! checkBucketExists $BUCKET; then
		if [ ! -z $OBJECTLOCKING ]; then

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made
* They are not synced with the code to reflect the eventual solution that is committed
* Google Docs is not a "code-oriented" tool, like asciidoc can be
* Review in Google Docs is not as simple as a PR code review in GitHub

## Decision

   * ByteArrayOutputStream}. The given output stream is not reset before being written to by the
   * returned {@code ByteArrayDataOutput} and new data will be appended to any existing content.
   *
   * <p>Note that if the given output stream was not empty or is modified after the {@code
   * ByteArrayDataOutput} is created, the contract for {@link ByteArrayDataOutput#toByteArray} will

                throw new CrawlingAccessException("Bucket " + bucketName + " is not found.", e);
            case "NoSuchKey", "NoSuchObject":
                if (logger.isDebugEnabled()) {
                    logger.debug("{} is not an object.", path);
                }
                break;
            default:
                logger.warn(path + " is not an object.", e);
                break;
            }

        .build()
    server.enqueue(
      MockResponse.Builder()
        .addHeader("SeNsItIvE", "Value").addHeader("Not-Sensitive", "Value")
        .build(),
    )
    val response =
      client
        .newCall(
          request()
            .addHeader("SeNsItIvE", "Value")
            .addHeader("Not-Sensitive", "Value")
            .build(),
        )
        .execute()
    response.body.close()