# RUN: not tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -tf-control-output-arrays=var1_add,var1_add -o - 2>&1 | FileCheck %s --check-prefix=UNIQUE

 */
package org.codelibs.fess.entity;

import java.util.Collection;
import java.util.Map;
import java.util.Set;
import java.util.function.BiConsumer;
import java.util.function.BiFunction;
import java.util.function.Function;

import org.apache.commons.lang3.StringUtils;

import com.google.common.base.CaseFormat;

public class ParamMap<K, V> implements Map<K, V> {

import java.util.ArrayList;
import java.util.Collection;
import java.util.Comparator;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.function.BiFunction;

import static java.util.Collections.emptyList;
import static java.util.Collections.emptySet;
import static java.util.stream.Collectors.toList;

public class SourceFoldersCreator {

        "Unable to find Function with name: ", name);
    return nullptr;
  }

  TF_Function* result = new TF_Function();
  record->Ref();
  result->record = record.get();
  return result;
}

void TFE_ContextRemoveFunction(TFE_Context* ctx, const char* name,
                               TF_Status* status) {
  status->status = tensorflow::unwrap(ctx)->RemoveFunction(name);
}

import java.util.Map;
import java.util.NoSuchElementException;
import java.util.Properties;
import java.util.RandomAccess;
import java.util.Set;
import java.util.function.BiFunction;
import java.util.function.Function;
import java.util.function.Predicate;
import java.util.function.UnaryOperator;

class ImmutableCollections {

    private static final List<?> EMPTY_LIST = new AbstractImmutableList<Object>() {
        @Override

        val discoveredCollectorDeclarations: List<DependencyCollectorDeclaration> = kClass.memberFunctions
            .filter { function -> hasDependencyCollectorGetterSignature(kClass, function) }
            .flatMap { function ->
                val name = dependencyCollectorNameFromGetterName(function.name)
                expandToOverloads { param ->
                    DependencyCollectorDeclaration(

import java.util.InvalidPropertiesFormatException;
import java.util.Map;
import java.util.Properties;
import java.util.Set;
import java.util.function.BiConsumer;
import java.util.function.BiFunction;
import java.util.function.Consumer;
import java.util.function.Function;
import java.util.function.Supplier;

class WrapperProperties extends Properties {

    final Supplier<Map<String, String>> getter;

  std::vector<tensorflow::string> missing_unused_key_names_data;
};

struct TF_DeviceList {
  std::vector<tensorflow::DeviceAttributes> response;
};

struct TF_Function {
  tensorflow::FunctionRecord* record;
};

struct TF_ApiDefMap {
  explicit TF_ApiDefMap(const tensorflow::OpList& op_list)
      :
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function -o - | FileCheck %s

node {
  name: "arg"
  op: "_Arg"
  attr {
    key: "T"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "index"
    value {
      i: 0
    }
  }
}
node {
  name: "ret"
  op: "_Retval"
  input: "arg"
  attr {
    key: "T"
    value {
      type: DT_INT32

    value {
      list {
        type: DT_FLOAT
      }
    }
  }
  attr {
    key: "f"
    value {
      func {
        name: "test_fn"
      }
    }
  }
}
library {
  function {
    signature {
      name: "test_fn"
      input_arg {
        name: "a"
        type: DT_FLOAT
      }
      output_arg {
        name: "d"
        type: DT_FLOAT
      }