pub trait ToNdarray<T> {
// Required method
fn to_ndarray(&self, t: Type) -> Result<ArrayD<T>>;
}Required Methods§
fn to_ndarray(&self, t: Type) -> Result<ArrayD<T>>
Implementors§
impl ToNdarray<bool> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to u64.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to u64
§Examples
let a = array![[false, true], [true, false]].into_dyn();
let v = Value::from_ndarray(a.clone(), BIT).unwrap();
let converted = ToNdarray::<bool>::to_ndarray(&v,array_type(vec![2, 2], BIT)).unwrap();
assert_eq!(converted, a);impl ToNdarray<i8> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to i8.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to i8
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<i8>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as i8, 123i32 as i8], [-456i32 as i8, 456i32 as i8]].into_dyn());impl ToNdarray<i16> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to i16.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to i16
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<i16>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as i16, 123i32 as i16], [-456i32 as i16, 456i32 as i16]].into_dyn());impl ToNdarray<i32> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to i32.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to i32
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<i32>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32, 123i32], [-456i32, 456i32]].into_dyn());impl ToNdarray<i64> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to i64.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to i64
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<i64>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as i64, 123i32 as i64], [-456i32 as i64, 456i32 as i64]].into_dyn());impl ToNdarray<i128> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to i128.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to i128
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<i128>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as i128, 123i32 as i128], [-456i32 as i128, 456i32 as i128]].into_dyn());impl ToNdarray<u8> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to u8.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to u8
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<u8>::to_ndarray(&v, array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as u8, 123i32 as u8], [-456i32 as u8, 456i32 as u8]].into_dyn());impl ToNdarray<u16> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to u16.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to u16
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<u16>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as u16, 123i32 as u16], [-456i32 as u16, 456i32 as u16]].into_dyn());impl ToNdarray<u32> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to u32.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to u32
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<u32>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as u32, 123i32 as u32], [-456i32 as u32, 456i32 as u32]].into_dyn());impl ToNdarray<u64> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to u64.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to u64
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<u64>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as u64, 123i32 as u64], [-456i32 as u64, 456i32 as u64]].into_dyn());impl ToNdarray<u128> for Value
Converts self to a multi-dimensional array if it is a byte vector, then cast the array entries to u128.
§Arguments
t - array type used to interpret self
§Result
Resulting multi-dimensional array with entries cast to u64
§Examples
let a = array![[-123, 123], [-456, 456]].into_dyn();
let v = Value::from_ndarray(a, INT32).unwrap();
let a = ToNdarray::<u128>::to_ndarray(&v,array_type(vec![2, 2], INT32)).unwrap();
assert_eq!(a, array![[-123i32 as u128, 123i32 as u128], [-456i32 as u128, 456i32 as u128]].into_dyn());