You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: ops_array_strided_slice.rs
    path of file: ./repos/tract/tensorflow/tests
    
    the code of the file until where you have to start completion: #![cfg(feature = "conform")]
#![allow(non_snake_case)]
extern crate env_logger;
#[macro_use]
extern crate log;
#[macro_use]
extern crate proptest;
extern crate tract_tensorflow;

mod utils;

use crate::utils::*;
use proptest::prelude::*;
use tract_tensorflow::conform::*;
use tract_tensorflow::prelude::*;
use tract_tensorflow::tfpb;
use tract_tensorflow::tfpb::tensorflow::DataType::DtInt32;

fn strided_slice_strat(
) -> BoxedStrategy<(Tensor, Tensor, Tensor, Tensor, (i32, i32, i32, i32, i32))> {
    ::proptest::collection::vec(
        (1..5).prop_flat_map(|n| 
    
fn strided_slice_5() {
    let graph = tfpb::graph()
        .node(placeholder_i32("input"))
        .node(const_i32("begin", &tensor1(&[0, 0])))
        .node(const_i32("end", &tensor1(&[0, 0])))
        .node(const_i32("stride", &tensor1(&[1, 1])))
        .node(
            tfpb::node()
                .name("op")
                .attr("T", DtInt32)
                .attr("Index", DtInt32)
                .attr("end_mask", 2 as i64)
                .input("input")
                .input("begin")
                .input("end")
                .input("stride")
                .op("StridedSlice"),
        );
    let graph = graph.write_to_bytes().unwrap();
    let inputs = vec![("input", tensor2(&[[0, 1]]))];
    compare(&graph, inputs, "op").unwrap()
}