ASSERT_EQ(3, TF_OutputListNumOutputs(func_outputs));

  float expected_outputs[3][4] = {{1.0f, 1.0f, 1.0f, 1.0f},
                                  {2.0f, 0.0f, 0.0f, 2.0f},
                                  {2.0f, 2.0f, 2.0f, 2.0f}};

  float result_data[4];
  for (int idx = 0; idx < 3; ++idx) {
    TF_AbstractTensor* result = TF_OutputListGet(func_outputs, idx);

        Query termQuery = new TermQuery(new Term("field", "value"));
        QueryContext context = new QueryContext("test", false);

        try {
            queryCommand.execute(context, termQuery, 1.0f);
            fail("Should throw InvalidQueryException for non-phrase query");
        } catch (InvalidQueryException e) {
            assertTrue(e.getMessage().contains("Unknown q:"));
        }
    }

    @Test

        // Test document frequency
        item.setDocFreq(150L);
        assertEquals(150L, item.getDocFreq());

        // Test user boost
        item.setUserBoost(2.0f);
        assertEquals(2.0f, item.getUserBoost(), 0.001f);

        // Test readings
        String[][] newReadings = { { "read1", "read2" }, { "read3" } };
        item.setReadings(newReadings);

      return insertionOrder;
    }
  }

  public static class SampleFloats extends SampleElements<Float> {
    public SampleFloats() {
      super(0.0f, 1.0f, 2.0f, 3.0f, 4.0f);
    }
  }

      return insertionOrder;
    }
  }

  public static class SampleFloats extends SampleElements<Float> {
    public SampleFloats() {
      super(0.0f, 1.0f, 2.0f, 3.0f, 4.0f);
    }
  }

        map.put("boost1", 0);
        map.put("boost2", 0);
        assertTrue(0.0f == docBoostMatcher.getValue(map));

        map.put("boost1", 1);
        map.put("boost2", 0);
        assertTrue(10.0f == docBoostMatcher.getValue(map));

        map.put("boost1", 1);
        map.put("boost2", 2);
        assertTrue(12.0f == docBoostMatcher.getValue(map));
    }

    @Test

    assertEquals(c1.hashCode(), c2.hashCode());

    assertEquals(c1.apply(1.0f), c2.apply(1.0f));
    assertEquals(c1.apply(5.0f), c2.apply(5.0f));
  }

  public void testComposeOfPredicateAndFunctionIsAssociative() {
    Map<Float, String> m = ImmutableMap.of(4.0f, "A", 3.0f, "B", 2.0f, "C", 1.0f, "D");
    Predicate<? super Integer> h = Predicates.equalTo(42);

  float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f};
  int64_t A_dims[] = {2, 2};
  AbstractTensorHandlePtr A;
  {
    AbstractTensorHandle* A_raw;
    absl::Status s = TestTensorHandleWithDims<float, TF_FLOAT>(
        ctx_.get(), A_vals, A_dims, 2, &A_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    A.reset(A_raw);
  }
  float B_vals[] = {.5f, -1.0f, 1.0f, 1.0f};
  int64_t B_dims[] = {2, 2};

        SuggestItem item1 = createItem("text", 10L, 5L, 1.0f);
        SuggestItem item2 = createItem("text", 20L, 15L, 2.0f);

        SuggestItem merged = SuggestItemMerger.merge(item1, item2);

        assertNotNull(merged);
        assertEquals(30L, merged.getDocFreq()); // 10 + 20
        assertEquals(20L, merged.getQueryFreq()); // 5 + 15
        assertEquals(2.0f, merged.getUserBoost(), 0.001f); // max(1.0, 2.0)
    }

    assertEquals(c1.hashCode(), c2.hashCode());

    assertEquals(c1.apply(1.0f), c2.apply(1.0f));
    assertEquals(c1.apply(5.0f), c2.apply(5.0f));
  }

  public void testComposeOfPredicateAndFunctionIsAssociative() {
    Map<Float, String> m = ImmutableMap.of(4.0f, "A", 3.0f, "B", 2.0f, "C", 1.0f, "D");
    Predicate<? super Integer> h = Predicates.equalTo(42);