arrayfire = { version = "3.8.1", package = "arrayfire_fork" }
rayon = "1.10.0"
num = "0.4.3"
num-traits = "0.2.19"
half = { version = "2.4.1" , features = ["num-traits"] }
npyz = "0.8.3"
RayBNN_DataLoader = "2.0.3"

let (mut cpu_vector,metadata) = RayBNN_DataLoader::Dataset::CSV::file_to_vec_cpu::<f64>(
    "./test_data/read_test.dat"
);

let (mut cpu_vector,metadata) = RayBNN_DataLoader::Dataset::CSV::file_to_vec_cpu::<i64>(
    "./test_data/read_test2.dat"
);

let read_test = RayBNN_DataLoader::Dataset::CSV::file_to_arrayfire::<f64>(
    "./test_data/read_test.dat"
);

let hashdata = RayBNN_DataLoader::Dataset::CSV::file_to_hash_cpu::<f64>(
    "./test_data/dataloader.csv",
    7,
    5
);

let arr_dims = arrayfire::Dim4::new(&[5, 7, 1, 1]);
let (hashdata,metadata) = RayBNN_DataLoader::Dataset::CSV::file_to_hash_arrayfire::<f64>(
    "./test_data/dataloader.csv",
    arr_dims,
);

let mut metadata: HashMap<String,u64> = HashMap::new();

metadata.insert("dim0", 11);
metadata.insert("dim1", 3);

RayBNN_DataLoader::Dataset::CSV::write_vec_cpu_to_csv::<f32>(
    "./randvec2.csv",
    &randvec,
    &metadata
);

RayBNN_DataLoader::Dataset::CSV::write_arrayfire_to_csv::<f64>(
    "./randvec.csv",
    &arr
);

let mut modeldata_string:  HashMap<String, String> = HashMap::new();
let mut modeldata_float:  HashMap<String, f64> = HashMap::new();
let mut modeldata_int:  HashMap<String, u64> = HashMap::new();

RayBNN_DataLoader::Model::YAML::read(
    "./test_data/test.yaml",

    &mut modeldata_string,
    &mut modeldata_float,
    &mut modeldata_int,
);

RayBNN_DataLoader::Model::YAML::write(
    "./sample.yaml",

    &modeldata_string,
    &modeldata_float,
    &modeldata_int,
);