Restore elementwise min/max on SIMD, with explicit naming.

stdlib/public/core/SIMDVector.swift

@@ -467,17 +467,15 @@ extension SIMD where Scalar: Comparable {
     return lhs .> Self(repeating: rhs)
   }
 
-  /*  Temporarily removed pending plan for Swift.min / Swift.max
   @_alwaysEmitIntoClient
   public mutating func clamp(lowerBound: Self, upperBound: Self) {
     self = self.clamped(lowerBound: lowerBound, upperBound: upperBound)
   }
 
   @_alwaysEmitIntoClient
   public func clamped(lowerBound: Self, upperBound: Self) -> Self {
-    return Swift.min(upperBound, Swift.max(lowerBound, self))
+    return pointwiseMin(upperBound, pointwiseMax(lowerBound, self))
   }
-  */
 }
 
 extension SIMD where Scalar: FixedWidthInteger {
@@ -550,6 +548,42 @@ extension SIMD where Scalar: FloatingPoint {
   public static var one: Self {
     return Self(repeating: 1)
   }
+
+  /// The lanewise minimum of two vectors.
+  ///
+  /// Each element of the result is the minimum of the corresponding elements
+  /// of the inputs.
+  @_alwaysEmitIntoClient
+  public static func min(_ a: Self, _ b: Self) -> Self {
+    var result = Self()
+    for i in result.indices {
+      result[i] = Scalar.minimum(a[i], b[i])
+    }
+    return result
+  }
+
+  /// The lanewise maximum of two vectors.
+  ///
+  /// Each element of the result is the minimum of the corresponding elements
+  /// of the inputs.
+  @_alwaysEmitIntoClient
+  public static func max(_ a: Self, _ b: Self) -> Self {
+    var result = Self()
+    for i in result.indices {
+      result[i] = Scalar.maximum(a[i], b[i])
+    }
+    return result
+  }
+
+  @_alwaysEmitIntoClient
+  public mutating func clamp(lowerBound: Self, upperBound: Self) {
+    self = self.clamped(lowerBound: lowerBound, upperBound: upperBound)
+  }
+
+  @_alwaysEmitIntoClient
+  public func clamped(lowerBound: Self, upperBound: Self) -> Self {
+    return pointwiseMin(upperBound, pointwiseMax(lowerBound, self))
+  }
 }
 
 extension SIMD
@@ -1343,34 +1377,30 @@ public func all<Storage>(_ mask: SIMDMask<Storage>) -> Bool {
   return mask._storage.max() < 0
 }
 
-/*
-Temporarily removed while we investigate compile-time regressions caused by
-introducing these global functions.
-
 /// The lanewise minimum of two vectors.
 ///
 /// Each element of the result is the minimum of the corresponding elements
 /// of the inputs.
 @_alwaysEmitIntoClient
-public func min<V>(_ lhs: V, _ rhs: V) -> V
-where V: SIMD, V.Scalar: Comparable {
-  var result = V()
+public func pointwiseMin<T>(_ a: T, _ b: T) -> T
+where T: SIMD, T.Scalar: Comparable {
+  var result = T()
   for i in result.indices {
-    result[i] = min(lhs[i], rhs[i])
+    result[i] = min(a[i], b[i])
   }
   return result
 }
 
 /// The lanewise maximum of two vectors.
 ///
-/// Each element of the result is the maximum of the corresponding elements
+/// Each element of the result is the minimum of the corresponding elements
 /// of the inputs.
 @_alwaysEmitIntoClient
-public func max<V>(_ lhs: V, _ rhs: V) -> V
-where V: SIMD, V.Scalar: Comparable {
-  var result = V()
+public func pointwiseMax<T>(_ a: T, _ b: T) -> T
+where T: SIMD, T.Scalar: Comparable {
+  var result = T()
   for i in result.indices {
-    result[i] = max(lhs[i], rhs[i])
+    result[i] = max(a[i], b[i])
   }
   return result
 }
@@ -1381,11 +1411,11 @@ where V: SIMD, V.Scalar: Comparable {
 /// Each element of the result is the minimum of the corresponding elements
 /// of the inputs.
 @_alwaysEmitIntoClient
-public func min<V>(_ lhs: V, _ rhs: V) -> V
-where V: SIMD, V.Scalar: FloatingPoint {
-  var result = V()
+public func pointwiseMin<T>(_ a: T, _ b: T) -> T
+where T: SIMD, T.Scalar: FloatingPoint {
+  var result = T()
   for i in result.indices {
-    result[i] = V.Scalar.minimum(lhs[i], rhs[i])
+    result[i] = T.Scalar.minimum(a[i], b[i])
   }
   return result
 }
@@ -1395,12 +1425,11 @@ where V: SIMD, V.Scalar: FloatingPoint {
 /// Each element of the result is the maximum of the corresponding elements
 /// of the inputs.
 @_alwaysEmitIntoClient
-public func max<V>(_ lhs: V, _ rhs: V) -> V
-where V: SIMD, V.Scalar: FloatingPoint {
-  var result = V()
+public func pointwiseMax<T>(_ a: T, _ b: T) -> T
+where T: SIMD, T.Scalar: FloatingPoint {
+  var result = T()
   for i in result.indices {
-    result[i] = V.Scalar.maximum(lhs[i], rhs[i])
+    result[i] = T.Scalar.maximum(a[i], b[i])
   }
   return result
 }
-*/