"rules": []
        },
        "indonesian_stop": {
          "type":       "stop",

          "rules": []
        },
        "indonesian_stop": {
          "type":       "stop",

<p>
these types are identical:
</p>

<pre>
A0, A1, and []string
A2 and struct{ a, b int }
A3 and int
A4, func(int, float64) *[]string, and A5

B0 and C0
[]int and []int
struct{ a, b *T5 } and struct{ a, b *T5 }
func(x int, y float64) *[]string, func(int, float64) (result *[]string), and A5
</pre>

<p>
<code>B0</code> and <code>B1</code> are different because they are new types

army

// art : 2016-03-24 UK Creative Ideas Limited
art

// arte : 2014-12-11 Association Relative à la Télévision Européenne G.E.I.E.
arte

// asda : 2015-07-31 Wal-Mart Stores, Inc.
asda

// associates : 2014-03-06 Binky Moon, LLC
associates

// athleta : 2015-07-30 The Gap, Inc.
athleta

// attorney : 2014-03-20 Dog Beach, LLC
attorney

            the filesystem if explicitly provided, then in the reactor if groupId and artifactId are provided,
            then in the default parent directory, then the local repository, and lastly in the remote repo.
            However, if the both relative path and the group ID / artifact ID are provided,
            they must match the file in the location given.

   *
   * This implementation uses a per-segment queue to record a memento of the additions, removals,
   * and accesses that were performed on the map. The queue is drained on writes and when it exceeds
   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation

  // directly, instead of requiring us to serialize to a GraphDef and
  // call Session::Extend().
  if (session->extend_before_run &&
      !ExtendSessionGraphHelper(session, status)) {
    return;
  }

  TF_Run_Setup(noutputs, output_values, status);

  // Convert from TF_Output and TF_Tensor to a string and Tensor.
  std::vector<std::pair<string, Tensor>> input_pairs(ninputs);

/*
 * 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,

/*
 * 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,

/*
 * 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,