a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

// Copyright 2011 Google Inc. All Rights Reserved.

package com.google.common.hash;

import static com.google.common.truth.Truth.assertThat;
import static java.nio.charset.StandardCharsets.ISO_8859_1;
import static java.nio.charset.StandardCharsets.UTF_8;

import com.google.common.base.Strings;
import com.google.common.collect.ImmutableSortedMap;
import com.google.common.collect.Ordering;
import com.google.common.primitives.UnsignedLong;

      // but work beyond that must take at least one second
      assertTrue(afterBurst >= 1000);
    }
  }

  /**
   * This neat test shows that no matter what weights we use in our requests, if we push X amount of
   * permits in a cool state, where X = rate * timeToCoolDown, and we have specified a
   * timeToWarmUp() period, it will cost as the prescribed amount of time. E.g., calling

      // but work beyond that must take at least one second
      assertTrue(afterBurst >= 1000);
    }
  }

  /**
   * This neat test shows that no matter what weights we use in our requests, if we push X amount of
   * permits in a cool state, where X = rate * timeToCoolDown, and we have specified a
   * timeToWarmUp() period, it will cost as the prescribed amount of time. E.g., calling

  }

  /**
   * Sets the minimum total size for the internal hash tables. For example, if the initial capacity
   * is {@code 60}, and the concurrency level is {@code 8}, then eight segments are created, each
   * having a hash table of size eight. Providing a large enough estimate at construction time
   * avoids the need for expensive resizing operations later, but setting this value unnecessarily
   * high wastes memory.
   *

      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf

        }
        return leastLoadedChannel != null ? leastLoadedChannel : channels.iterator().next();
    }

    private ChannelInfo selectWeightedRandom(Collection<ChannelInfo> channels) {
        // Calculate total weight
        int totalWeight = 0;
        for (ChannelInfo channel : channels) {
            totalWeight += channel.getScore();
        }

        if (totalWeight == 0) {

215B          ; mapped                 ; 0031 2044 0038 #1.1  VULGAR FRACTION ONE EIGHTH
215C          ; mapped                 ; 0033 2044 0038 #1.1  VULGAR FRACTION THREE EIGHTHS
215D          ; mapped                 ; 0035 2044 0038 #1.1  VULGAR FRACTION FIVE EIGHTHS
215E          ; mapped                 ; 0037 2044 0038 #1.1  VULGAR FRACTION SEVEN EIGHTHS
215F          ; mapped                 ; 0031 2044     # 1.1  FRACTION NUMERATOR ONE

// Copyright 2011 Google Inc. All Rights Reserved.

package com.google.common.hash;

import static com.google.common.base.Preconditions.checkPositionIndexes;
import static com.google.common.hash.LittleEndianByteArray.load64;
import static com.google.common.hash.LittleEndianByteArray.load64Safely;
import static java.lang.Long.rotateRight;

import com.google.common.annotations.VisibleForTesting;

/**

#!/bin/bash -eu
# 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,