inputs = new String[inputStrings.size()];
                    for (int i = 0; i < inputs.length; i++) {
                        inputs[i] = unescape(inputStrings.get(i)).trim();
                    }

                    if (inputs.length > 0) {
                        id++;
                        final SynonymItem item = new SynonymItem(id, inputs, inputs);

        return false;
      }
    }
  }
  return found_t && found_n;
}

bool IsNeg(const tensorflow::NodeDef& node_def, const string& input) {
  return node_def.op() == "Neg" && node_def.name() == "neg" &&
         node_def.input_size() == 1 && node_def.input(0) == input;
}

bool GetGraphDef(TF_Graph* graph, tensorflow::GraphDef* graph_def) {
  TF_Status* s = TF_NewStatus();
  TF_Buffer* buffer = TF_NewBuffer();

    }

    /**
     * Reads up to b.length bytes of data from this input stream into an array of bytes.
     *
     * @throws IOException if a network error occurs
     */

    @Override
    public int read(final byte[] b) throws IOException {
        return read(b, 0, b.length);
    }

    /**
     * Reads up to len bytes of data from this input stream into an array of bytes.
     *

    @CustomSize(maxKey = "form.admin.max.input.size")
    public String urls;

    /**
     * URL patterns to include during crawling.
     */
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String includedUrls;

    /**
     * URL patterns to exclude during crawling.
     */
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String excludedUrls;

    /**

							</ol>
						</div>
					</div>
				</div>
			</div>
			<section class="content">
				<la:form action="/admin/storage/">
					<input type="hidden" name="path" value="${f:h(path)}">
					<input type="hidden" name="name" value="${f:h(name)}">
					<div class="row">
						<div class="col-md-12">
							<div class="card card-outline card-success">
								<div class="card-header">

  private static void testReverse(boolean[] input, boolean[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);
    Booleans.reverse(input);
    assertThat(input).isEqualTo(expectedOutput);
  }

  private static void testReverse(
      boolean[] input, int fromIndex, int toIndex, boolean[] expectedOutput) {
    input = Arrays.copyOf(input, input.length);
    Booleans.reverse(input, fromIndex, toIndex);

			input:      testInput,
			query:      `select id from S3Object s WHERE s.id in [4,3]`,
			wantResult: ``,
		},
		{
			name:       "select-float-by-val",
			input:      testInput,
			query:      `SELECT num2 from s3object s WHERE num2 = 0.765111`,
			wantResult: `{"num2":" 0.765111"}`,
		},
		{
			name:       "select-non_exiting_values",
			input:      testInput,

// just enough to support pprof.
//
// Usage:
//
//	go tool addr2line binary
//
// Addr2line reads hexadecimal addresses, one per line and with optional 0x prefix,
// from standard input. For each input address, addr2line prints two output lines,
// first the name of the function containing the address and second the file:line
// of the source code corresponding to that address.
//

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.
int main(int argc, char** argv) {
  TF_InitMain(argv[0], &argc, &argv);

                    "msg": "Input should be less than or equal to 100",
                    "input": "150",
                    "ctx": {"le": 100},
                },
                {
                    "type": "greater_than_equal",
                    "loc": ["query", "offset"],
                    "msg": "Input should be greater than or equal to 0",
                    "input": "-1",
                    "ctx": {"ge": 0},