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use crate::{
core::prelude::*,
errors::prelude::*,
extensions::prelude::*,
numeric::prelude::*,
};
/// `ArrayTrait` - Array Extrema functions
pub trait ArrayExtrema<N: Numeric> where Self: Sized + Clone {
/// Element-wise maximum of array elements
///
/// # Arguments
///
/// * `other` - array to perform the operation with
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(
/// format!("{:#}", Array::flat(vec![2., f64::NAN, 3., 10.]).unwrap()),
/// format!("{:#}", arr.maximum(&Array::flat(vec![2., f64::NAN, 2., 10.]).unwrap()).unwrap())
/// );
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn maximum(&self, other: &Array<N>) -> Result<Array<N>, ArrayError>;
/// Return the maximum of an array or maximum along an axis
///
/// # Arguments
///
/// * `axis` - axis along which to operate. optional, if None, input is flattened
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(Array::single(4.), arr.max(None));
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn max(&self, axis: Option<isize>) -> Result<Array<N>, ArrayError>;
/// Return the maximum of an array or maximum along an axis
/// alias on `max`
///
/// # Arguments
///
/// * `axis` - axis along which to operate. optional, if None, input is flattened
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(Array::single(4.), arr.amax(None));
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn amax(&self, axis: Option<isize>) -> Result<Array<N>, ArrayError>;
/// Element-wise maximum of array elements
///
/// # Arguments
///
/// * `other` - array to perform the operation with
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(
/// format!("{:#}", Array::flat(vec![2., 2., 3., 10.]).unwrap()),
/// format!("{:#}", arr.fmax(&Array::flat(vec![2., f64::NAN, 2., 10.]).unwrap()).unwrap())
/// );
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn fmax(&self, other: &Array<N>) -> Result<Array<N>, ArrayError>;
/// Return the maximum of an array or maximum along an axis, ignoring NAN
///
/// # Arguments
///
/// * `axis` - axis along which to operate. optional, if None, input is flattened
//
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4., f64::NAN]);
/// assert_eq!(Array::single(4.), arr.nanmax(None));
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn nanmax(&self, axis: Option<isize>) -> Result<Array<N>, ArrayError>;
/// Element-wise minimum of array elements
///
/// # Arguments
///
/// * `other` - array to perform the operation with
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(
/// format!("{:#}", Array::flat(vec![1., f64::NAN, 2., 4.]).unwrap()),
/// format!("{:#}", arr.minimum(&Array::flat(vec![2., f64::NAN, 2., 10.]).unwrap()).unwrap())
/// );
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn minimum(&self, other: &Array<N>) -> Result<Array<N>, ArrayError>;
/// Return the minimum of an array or minimum along an axis
///
/// # Arguments
///
/// * `axis` - axis along which to operate. optional, if None, input is flattened
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(Array::single(1.), arr.min(None));
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn min(&self, axis: Option<isize>) -> Result<Array<N>, ArrayError>;
/// Return the minimum of an array or minimum along an axis
/// alias on `min`
///
/// # Arguments
///
/// * `axis` - axis along which to operate. optional, if None, input is flattened
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(Array::single(1.), arr.amin(None));
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn amin(&self, axis: Option<isize>) -> Result<Array<N>, ArrayError>;
/// Element-wise maximum of array elements
///
/// # Arguments
///
/// * `other` - array to perform the operation with
///
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4.]);
/// assert_eq!(
/// format!("{:#}", Array::flat(vec![1., 2., 2., 4.]).unwrap()),
/// format!("{:#}", arr.fmin(&Array::flat(vec![2., f64::NAN, 2., 10.]).unwrap()).unwrap())
/// );
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn fmin(&self, other: &Array<N>) -> Result<Array<N>, ArrayError>;
/// Return the minimum of an array or minimum along an axis, ignoring NAN
///
/// # Arguments
///
/// * `axis` - axis along which to operate. optional, if None, input is flattened
//
/// # Examples
///
/// ```
/// use arr_rs::prelude::*;
///
/// let arr = Array::flat(vec![1., 2., 3., 4., f64::NAN]);
/// assert_eq!(Array::single(1.), arr.nanmin(None));
/// ```
///
/// # Errors
///
/// may returns `ArrayError`
fn nanmin(&self, axis: Option<isize>) -> Result<Array<N>, ArrayError>;
}
impl <N: Numeric> ArrayExtrema<N> for Array<N> {
fn maximum(&self, other: &Self) -> Result<Self, ArrayError> {
self.zip(other)?
.map(|item| {
if item.0.to_f64().is_nan() || item.1.to_f64().is_nan() { N::from(f64::NAN) }
else { N::from(f64::max(item.0.to_f64(), item.1.to_f64())) }
})
}
fn max(&self, axis: Option<isize>) -> Result<Self, ArrayError> {
match axis {
Some(axis) => {
let axis = self.normalize_axis(axis);
let result = self.apply_along_axis(axis, |arr| arr.max(None));
result.reshape(&result.get_shape()?.remove_at_if(axis, result.ndim()? > 1))
},
None => {
if self.to_array_f64().get_elements()?.iter().any(ArrayElement::is_nan) {
Self::single(N::from(f64::NAN))
} else {
let result = self.into_iter().fold(self[0], |a, &b| if a < b { b } else { a });
Self::single(result)
}
}
}
}
fn amax(&self, axis: Option<isize>) -> Result<Self, ArrayError> {
self.max(axis)
}
fn fmax(&self, other: &Self) -> Result<Self, ArrayError> {
self.zip(other)?
.map(|item| N::from(f64::max(item.0.to_f64(), item.1.to_f64())))
}
fn nanmax(&self, axis: Option<isize>) -> Result<Self, ArrayError> {
match axis {
Some(axis) => {
let axis = self.normalize_axis(axis);
let result = self.apply_along_axis(axis, |arr| arr.nanmax(None));
result.reshape(&result.get_shape()?.remove_at_if(axis, result.ndim()? > 1))
},
None => {
if self.to_array_f64().get_elements()?.iter().all(ArrayElement::is_nan) {
Self::single(N::from(f64::NAN))
} else {
let filtered = self.get_elements()?.into_iter().filter(|i| !i.to_f64().is_nan()).collect::<Self>();
let result = filtered.fold(filtered[0], |&a, &b| if a < b { b } else { a })?;
Self::single(result)
}
}
}
}
fn minimum(&self, other: &Self) -> Result<Self, ArrayError> {
self.zip(other)?
.map(|item| {
if item.0.to_f64().is_nan() || item.1.to_f64().is_nan() { N::from(f64::NAN) }
else { N::from(f64::min(item.0.to_f64(), item.1.to_f64())) }
})
}
fn min(&self, axis: Option<isize>) -> Result<Self, ArrayError> {
if let Some(axis) = axis {
let axis = self.normalize_axis(axis);
let result = self.apply_along_axis(axis, |arr| arr.min(None));
result.reshape(&result.get_shape()?.remove_at_if(axis, result.ndim()? > 1))
} else {
if self.to_array_f64().get_elements()?.iter().any(ArrayElement::is_nan) { return Self::single(N::from(f64::NAN)) }
let result = self.into_iter().fold(self[0], |a, &b| if a > b { b } else { a });
Self::single(result)
}
}
fn amin(&self, axis: Option<isize>) -> Result<Self, ArrayError> {
self.min(axis)
}
fn fmin(&self, other: &Self) -> Result<Self, ArrayError> {
self.zip(other)?
.map(|item| N::from(f64::min(item.0.to_f64(), item.1.to_f64())))
}
fn nanmin(&self, axis: Option<isize>) -> Result<Self, ArrayError> {
match axis {
Some(axis) => {
let axis = self.normalize_axis(axis);
let result = self.apply_along_axis(axis, |arr| arr.nanmin(None));
result.reshape(&result.get_shape()?.remove_at_if(axis, result.ndim()? > 1))
},
None => {
if self.to_array_f64().get_elements()?.iter().all(ArrayElement::is_nan) {
Self::single(N::from(f64::NAN))
} else {
let filtered = self.get_elements()?.into_iter().filter(|i| !i.to_f64().is_nan()).collect::<Self>();
let result = filtered.fold(filtered[0], |&a, &b| if a > b { b } else { a })?;
Self::single(result)
}
}
}
}
}
impl <N: Numeric> ArrayExtrema<N> for Result<Array<N>, ArrayError> {
fn maximum(&self, other: &Array<N>) -> Self {
self.clone()?.maximum(other)
}
fn max(&self, axis: Option<isize>) -> Self {
self.clone()?.max(axis)
}
fn amax(&self, axis: Option<isize>) -> Self {
self.clone()?.amax(axis)
}
fn fmax(&self, other: &Array<N>) -> Self {
self.clone()?.fmax(other)
}
fn nanmax(&self, axis: Option<isize>) -> Self {
self.clone()?.nanmax(axis)
}
fn minimum(&self, other: &Array<N>) -> Self {
self.clone()?.minimum(other)
}
fn min(&self, axis: Option<isize>) -> Self {
self.clone()?.min(axis)
}
fn amin(&self, axis: Option<isize>) -> Self {
self.clone()?.amin(axis)
}
fn fmin(&self, other: &Array<N>) -> Self {
self.clone()?.fmin(other)
}
fn nanmin(&self, axis: Option<isize>) -> Self {
self.clone()?.nanmin(axis)
}
}