(Array.prototype.findIndex) {\n    return arr.findIndex(cur => cur[prop] === value);\n  }\n\n  // use `find` + `indexOf` if `findIndex` isn't supported\n  const match = find(arr, obj => obj[prop] === value);\n  return arr.indexOf(match);\n}\n","import isFunction from './isFunction';\nimport findIndex from './findIndex';\nimport getClientRect from '../utils/getClientRect';\n\n/**\n * Loop trough the list of modifiers and run them in order,\n * each of them will then edit the data object.\n * @method\n * @memberof...

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  }

  public void testAsFunction_simplistic() {
    String canonical = "a";
    String not = new String("a");

    Function<String, String> internerFunction =
        Interners.asFunction(Interners.<String>newStrongInterner());

    assertSame(canonical, internerFunction.apply(canonical));
    assertSame(canonical, internerFunction.apply(not));
  }

  public void testNullPointerExceptions() {

  }

  public void testAsFunction_simplistic() {
    String canonical = "a";
    String not = new String("a");

    Function<String, String> internerFunction =
        Interners.asFunction(Interners.<String>newStrongInterner());

    assertSame(canonical, internerFunction.apply(canonical));
    assertSame(canonical, internerFunction.apply(not));
  }

  public void testNullPointerExceptions() {

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                              unsigned char* is_list, TF_Status* status) {
  TF_AttrType ret = TF_ATTR_INT;
  const tensorflow::AttrTypeMap* attr_types_;
  bool is_function;
  status->status = tensorflow::AttrTypeMapForOp(
      tensorflow::unwrap(op)->Name().c_str(), &attr_types_, &is_function);
  if (!status->status.ok()) {
    return ret;
  }
  status->status =
      tensorflow::AttrTypeByName(*attr_types_, attr_name, &ret, is_list);