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update kube and vendor dependencies

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With kubernetes 1.18 release of client-go, signatures on methods in
generated clientsets, dynamic, metadata, and scale clients have been
modified to accept context.Context as a first argument.
Signatures of Create, Update, and Patch methods have been updated
to accept CreateOptions, UpdateOptions and PatchOptions respectively.
Signatures of Delete and DeleteCollection methods now accept
DeleteOptions by value instead of by reference.
These changes are now accommodated with this PR and client-go
and dependencies are updated to v1.18.0

Signed-off-by: Humble Chirammal <hchiramm@redhat.com>
This commit is contained in:
Humble Chirammal
2020-05-03 21:51:04 +05:30
parent d6be7e120d
commit b72230379f
1008 changed files with 20764 additions and 82152 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
vendor/github.com/gogo/protobuf/proto/encode.go generated vendored
View File

@@ -189,6 +189,8 @@ type Marshaler interface {
// prefixed by a varint-encoded length.
func (p *Buffer) EncodeMessage(pb Message) error {
siz := Size(pb)
sizVar := SizeVarint(uint64(siz))
p.grow(siz + sizVar)
p.EncodeVarint(uint64(siz))
return p.Marshal(pb)
}

18
vendor/github.com/gogo/protobuf/proto/lib.go generated vendored
View File

@@ -948,13 +948,19 @@ func isProto3Zero(v reflect.Value) bool {
return false
}
// ProtoPackageIsVersion2 is referenced from generated protocol buffer files
// to assert that that code is compatible with this version of the proto package.
const GoGoProtoPackageIsVersion2 = true
const (
// ProtoPackageIsVersion3 is referenced from generated protocol buffer files
// to assert that that code is compatible with this version of the proto package.
GoGoProtoPackageIsVersion3 = true
// ProtoPackageIsVersion1 is referenced from generated protocol buffer files
// to assert that that code is compatible with this version of the proto package.
const GoGoProtoPackageIsVersion1 = true
// ProtoPackageIsVersion2 is referenced from generated protocol buffer files
// to assert that that code is compatible with this version of the proto package.
GoGoProtoPackageIsVersion2 = true
// ProtoPackageIsVersion1 is referenced from generated protocol buffer files
// to assert that that code is compatible with this version of the proto package.
GoGoProtoPackageIsVersion1 = true
)
// InternalMessageInfo is a type used internally by generated .pb.go files.
// This type is not intended to be used by non-generated code.

71
vendor/github.com/gogo/protobuf/proto/properties.go generated vendored
View File

@@ -43,7 +43,6 @@ package proto
import (
"fmt"
"log"
"os"
"reflect"
"sort"
"strconv"
@@ -205,7 +204,7 @@ func (p *Properties) Parse(s string) {
// "bytes,49,opt,name=foo,def=hello!"
fields := strings.Split(s, ",") // breaks def=, but handled below.
if len(fields) < 2 {
fmt.Fprintf(os.Stderr, "proto: tag has too few fields: %q\n", s)
log.Printf("proto: tag has too few fields: %q", s)
return
}
@@ -225,7 +224,7 @@ func (p *Properties) Parse(s string) {
p.WireType = WireBytes
// no numeric converter for non-numeric types
default:
fmt.Fprintf(os.Stderr, "proto: tag has unknown wire type: %q\n", s)
log.Printf("proto: tag has unknown wire type: %q", s)
return
}
@@ -400,6 +399,15 @@ func GetProperties(t reflect.Type) *StructProperties {
return sprop
}
type (
oneofFuncsIface interface {
XXX_OneofFuncs() (func(Message, *Buffer) error, func(Message, int, int, *Buffer) (bool, error), func(Message) int, []interface{})
}
oneofWrappersIface interface {
XXX_OneofWrappers() []interface{}
}
)
// getPropertiesLocked requires that propertiesMu is held.
func getPropertiesLocked(t reflect.Type) *StructProperties {
if prop, ok := propertiesMap[t]; ok {
@@ -441,37 +449,40 @@ func getPropertiesLocked(t reflect.Type) *StructProperties {
// Re-order prop.order.
sort.Sort(prop)
type oneofMessage interface {
XXX_OneofFuncs() (func(Message, *Buffer) error, func(Message, int, int, *Buffer) (bool, error), func(Message) int, []interface{})
}
if om, ok := reflect.Zero(reflect.PtrTo(t)).Interface().(oneofMessage); isOneofMessage && ok {
if isOneofMessage {
var oots []interface{}
_, _, _, oots = om.XXX_OneofFuncs()
// Interpret oneof metadata.
prop.OneofTypes = make(map[string]*OneofProperties)
for _, oot := range oots {
oop := &OneofProperties{
Type: reflect.ValueOf(oot).Type(), // *T
Prop: new(Properties),
}
sft := oop.Type.Elem().Field(0)
oop.Prop.Name = sft.Name
oop.Prop.Parse(sft.Tag.Get("protobuf"))
// There will be exactly one interface field that
// this new value is assignable to.
for i := 0; i < t.NumField(); i++ {
f := t.Field(i)
if f.Type.Kind() != reflect.Interface {
continue
switch m := reflect.Zero(reflect.PtrTo(t)).Interface().(type) {
case oneofFuncsIface:
_, _, _, oots = m.XXX_OneofFuncs()
case oneofWrappersIface:
oots = m.XXX_OneofWrappers()
}
if len(oots) > 0 {
// Interpret oneof metadata.
prop.OneofTypes = make(map[string]*OneofProperties)
for _, oot := range oots {
oop := &OneofProperties{
Type: reflect.ValueOf(oot).Type(), // *T
Prop: new(Properties),
}
if !oop.Type.AssignableTo(f.Type) {
continue
sft := oop.Type.Elem().Field(0)
oop.Prop.Name = sft.Name
oop.Prop.Parse(sft.Tag.Get("protobuf"))
// There will be exactly one interface field that
// this new value is assignable to.
for i := 0; i < t.NumField(); i++ {
f := t.Field(i)
if f.Type.Kind() != reflect.Interface {
continue
}
if !oop.Type.AssignableTo(f.Type) {
continue
}
oop.Field = i
break
}
oop.Field = i
break
prop.OneofTypes[oop.Prop.OrigName] = oop
}
prop.OneofTypes[oop.Prop.OrigName] = oop
}
}

17
vendor/github.com/gogo/protobuf/proto/table_marshal.go generated vendored
View File

@@ -389,8 +389,13 @@ func (u *marshalInfo) computeMarshalInfo() {
// get oneof implementers
var oneofImplementers []interface{}
// gogo: isOneofMessage is needed for embedded oneof messages, without a marshaler and unmarshaler
if m, ok := reflect.Zero(reflect.PtrTo(t)).Interface().(oneofMessage); ok && isOneofMessage {
_, _, _, oneofImplementers = m.XXX_OneofFuncs()
if isOneofMessage {
switch m := reflect.Zero(reflect.PtrTo(t)).Interface().(type) {
case oneofFuncsIface:
_, _, _, oneofImplementers = m.XXX_OneofFuncs()
case oneofWrappersIface:
oneofImplementers = m.XXX_OneofWrappers()
}
}
// normal fields
@@ -519,10 +524,6 @@ func (fi *marshalFieldInfo) computeOneofFieldInfo(f *reflect.StructField, oneofI
}
}
type oneofMessage interface {
XXX_OneofFuncs() (func(Message, *Buffer) error, func(Message, int, int, *Buffer) (bool, error), func(Message) int, []interface{})
}
// wiretype returns the wire encoding of the type.
func wiretype(encoding string) uint64 {
switch encoding {
@@ -2968,7 +2969,9 @@ func (p *Buffer) Marshal(pb Message) error {
if m, ok := pb.(newMarshaler); ok {
siz := m.XXX_Size()
p.grow(siz) // make sure buf has enough capacity
p.buf, err = m.XXX_Marshal(p.buf, p.deterministic)
pp := p.buf[len(p.buf) : len(p.buf) : len(p.buf)+siz]
pp, err = m.XXX_Marshal(pp, p.deterministic)
p.buf = append(p.buf, pp...)
return err
}
if m, ok := pb.(Marshaler); ok {

19
vendor/github.com/gogo/protobuf/proto/table_merge.go generated vendored
View File

@@ -530,6 +530,25 @@ func (mi *mergeInfo) computeMergeInfo() {
}
case reflect.Struct:
switch {
case isSlice && !isPointer: // E.g. []pb.T
mergeInfo := getMergeInfo(tf)
zero := reflect.Zero(tf)
mfi.merge = func(dst, src pointer) {
// TODO: Make this faster?
dstsp := dst.asPointerTo(f.Type)
dsts := dstsp.Elem()
srcs := src.asPointerTo(f.Type).Elem()
for i := 0; i < srcs.Len(); i++ {
dsts = reflect.Append(dsts, zero)
srcElement := srcs.Index(i).Addr()
dstElement := dsts.Index(dsts.Len() - 1).Addr()
mergeInfo.merge(valToPointer(dstElement), valToPointer(srcElement))
}
if dsts.IsNil() {
dsts = reflect.MakeSlice(f.Type, 0, 0)
}
dstsp.Elem().Set(dsts)
}
case !isPointer:
mergeInfo := getMergeInfo(tf)
mfi.merge = func(dst, src pointer) {

22
vendor/github.com/gogo/protobuf/proto/table_unmarshal.go generated vendored
View File

@@ -371,15 +371,18 @@ func (u *unmarshalInfo) computeUnmarshalInfo() {
}
// Find any types associated with oneof fields.
// TODO: XXX_OneofFuncs returns more info than we need. Get rid of some of it?
fn := reflect.Zero(reflect.PtrTo(t)).MethodByName("XXX_OneofFuncs")
// gogo: len(oneofFields) > 0 is needed for embedded oneof messages, without a marshaler and unmarshaler
if fn.IsValid() && len(oneofFields) > 0 {
res := fn.Call(nil)[3] // last return value from XXX_OneofFuncs: []interface{}
for i := res.Len() - 1; i >= 0; i-- {
v := res.Index(i) // interface{}
tptr := reflect.ValueOf(v.Interface()).Type() // *Msg_X
typ := tptr.Elem() // Msg_X
if len(oneofFields) > 0 {
var oneofImplementers []interface{}
switch m := reflect.Zero(reflect.PtrTo(t)).Interface().(type) {
case oneofFuncsIface:
_, _, _, oneofImplementers = m.XXX_OneofFuncs()
case oneofWrappersIface:
oneofImplementers = m.XXX_OneofWrappers()
}
for _, v := range oneofImplementers {
tptr := reflect.TypeOf(v) // *Msg_X
typ := tptr.Elem() // Msg_X
f := typ.Field(0) // oneof implementers have one field
baseUnmarshal := fieldUnmarshaler(&f)
@@ -407,11 +410,12 @@ func (u *unmarshalInfo) computeUnmarshalInfo() {
u.setTag(fieldNum, of.field, unmarshal, 0, name)
}
}
}
}
// Get extension ranges, if any.
fn = reflect.Zero(reflect.PtrTo(t)).MethodByName("ExtensionRangeArray")
fn := reflect.Zero(reflect.PtrTo(t)).MethodByName("ExtensionRangeArray")
if fn.IsValid() {
if !u.extensions.IsValid() && !u.oldExtensions.IsValid() && !u.bytesExtensions.IsValid() {
panic("a message with extensions, but no extensions field in " + t.Name())

6
vendor/github.com/gogo/protobuf/proto/text.go generated vendored
View File

@@ -476,6 +476,8 @@ func (tm *TextMarshaler) writeStruct(w *textWriter, sv reflect.Value) error {
return nil
}
var textMarshalerType = reflect.TypeOf((*encoding.TextMarshaler)(nil)).Elem()
// writeAny writes an arbitrary field.
func (tm *TextMarshaler) writeAny(w *textWriter, v reflect.Value, props *Properties) error {
v = reflect.Indirect(v)
@@ -589,8 +591,8 @@ func (tm *TextMarshaler) writeAny(w *textWriter, v reflect.Value, props *Propert
// mutating this value.
v = v.Addr()
}
if etm, ok := v.Interface().(encoding.TextMarshaler); ok {
text, err := etm.MarshalText()
if v.Type().Implements(textMarshalerType) {
text, err := v.Interface().(encoding.TextMarshaler).MarshalText()
if err != nil {
return err
}

35
vendor/github.com/golang/mock/gomock/call.go generated vendored
View File

@@ -82,8 +82,8 @@ func (c *Call) AnyTimes() *Call {
return c
}
// MinTimes requires the call to occur at least n times. If AnyTimes or MaxTimes have not been called, MinTimes also
// sets the maximum number of calls to infinity.
// MinTimes requires the call to occur at least n times. If AnyTimes or MaxTimes have not been called or if MaxTimes
// was previously called with 1, MinTimes also sets the maximum number of calls to infinity.
func (c *Call) MinTimes(n int) *Call {
c.minCalls = n
if c.maxCalls == 1 {
@@ -92,8 +92,8 @@ func (c *Call) MinTimes(n int) *Call {
return c
}
// MaxTimes limits the number of calls to n times. If AnyTimes or MinTimes have not been called, MaxTimes also
// sets the minimum number of calls to 0.
// MaxTimes limits the number of calls to n times. If AnyTimes or MinTimes have not been called or if MinTimes was
// previously called with 1, MaxTimes also sets the minimum number of calls to 0.
func (c *Call) MaxTimes(n int) *Call {
c.maxCalls = n
if c.minCalls == 1 {
@@ -276,7 +276,7 @@ func (c *Call) satisfied() bool {
return c.numCalls >= c.minCalls
}
// Returns true iff the maximum number of calls have been made.
// Returns true if the maximum number of calls have been made.
func (c *Call) exhausted() bool {
return c.numCalls >= c.maxCalls
}
@@ -295,27 +295,34 @@ func (c *Call) String() string {
func (c *Call) matches(args []interface{}) error {
if !c.methodType.IsVariadic() {
if len(args) != len(c.args) {
return fmt.Errorf("Expected call at %s has the wrong number of arguments. Got: %d, want: %d",
return fmt.Errorf("expected call at %s has the wrong number of arguments. Got: %d, want: %d",
c.origin, len(args), len(c.args))
}
for i, m := range c.args {
if !m.Matches(args[i]) {
return fmt.Errorf("Expected call at %s doesn't match the argument at index %s.\nGot: %v\nWant: %v",
c.origin, strconv.Itoa(i), args[i], m)
got := fmt.Sprintf("%v", args[i])
if gs, ok := m.(GotFormatter); ok {
got = gs.Got(args[i])
}
return fmt.Errorf(
"expected call at %s doesn't match the argument at index %d.\nGot: %v\nWant: %v",
c.origin, i, got, m,
)
}
}
} else {
if len(c.args) < c.methodType.NumIn()-1 {
return fmt.Errorf("Expected call at %s has the wrong number of matchers. Got: %d, want: %d",
return fmt.Errorf("expected call at %s has the wrong number of matchers. Got: %d, want: %d",
c.origin, len(c.args), c.methodType.NumIn()-1)
}
if len(c.args) != c.methodType.NumIn() && len(args) != len(c.args) {
return fmt.Errorf("Expected call at %s has the wrong number of arguments. Got: %d, want: %d",
return fmt.Errorf("expected call at %s has the wrong number of arguments. Got: %d, want: %d",
c.origin, len(args), len(c.args))
}
if len(args) < len(c.args)-1 {
return fmt.Errorf("Expected call at %s has the wrong number of arguments. Got: %d, want: greater than or equal to %d",
return fmt.Errorf("expected call at %s has the wrong number of arguments. Got: %d, want: greater than or equal to %d",
c.origin, len(args), len(c.args)-1)
}
@@ -323,7 +330,7 @@ func (c *Call) matches(args []interface{}) error {
if i < c.methodType.NumIn()-1 {
// Non-variadic args
if !m.Matches(args[i]) {
return fmt.Errorf("Expected call at %s doesn't match the argument at index %s.\nGot: %v\nWant: %v",
return fmt.Errorf("expected call at %s doesn't match the argument at index %s.\nGot: %v\nWant: %v",
c.origin, strconv.Itoa(i), args[i], m)
}
continue
@@ -382,7 +389,7 @@ func (c *Call) matches(args []interface{}) error {
// Check that the call is not exhausted.
if c.exhausted() {
return fmt.Errorf("Expected call at %s has already been called the max number of times.", c.origin)
return fmt.Errorf("expected call at %s has already been called the max number of times", c.origin)
}
return nil
@@ -396,7 +403,7 @@ func (c *Call) dropPrereqs() (preReqs []*Call) {
return
}
func (c *Call) call(args []interface{}) []func([]interface{}) []interface{} {
func (c *Call) call() []func([]interface{}) []interface{} {
c.numCalls++
return c.actions
}

6
vendor/github.com/golang/mock/gomock/callset.go generated vendored
View File

@@ -72,7 +72,7 @@ func (cs callSet) FindMatch(receiver interface{}, method string, args []interfac
for _, call := range expected {
err := call.matches(args)
if err != nil {
fmt.Fprintf(&callsErrors, "\n%v", err)
_, _ = fmt.Fprintf(&callsErrors, "\n%v", err)
} else {
return call, nil
}
@@ -83,12 +83,12 @@ func (cs callSet) FindMatch(receiver interface{}, method string, args []interfac
exhausted := cs.exhausted[key]
for _, call := range exhausted {
if err := call.matches(args); err != nil {
fmt.Fprintf(&callsErrors, "\n%v", err)
_, _ = fmt.Fprintf(&callsErrors, "\n%v", err)
}
}
if len(expected)+len(exhausted) == 0 {
fmt.Fprintf(&callsErrors, "there are no expected calls of the method %q for that receiver", method)
_, _ = fmt.Fprintf(&callsErrors, "there are no expected calls of the method %q for that receiver", method)
}
return nil, fmt.Errorf(callsErrors.String())

45
vendor/github.com/golang/mock/gomock/controller.go generated vendored
View File

@@ -12,7 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
// GoMock - a mock framework for Go.
// Package gomock is a mock framework for Go.
//
// Standard usage:
// (1) Define an interface that you wish to mock.
@@ -63,8 +63,8 @@ import (
"sync"
)
// A TestReporter is something that can be used to report test failures.
// It is satisfied by the standard library's *testing.T.
// A TestReporter is something that can be used to report test failures. It
// is satisfied by the standard library's *testing.T.
type TestReporter interface {
Errorf(format string, args ...interface{})
Fatalf(format string, args ...interface{})
@@ -77,14 +77,35 @@ type TestHelper interface {
Helper()
}
// A Controller represents the top-level control of a mock ecosystem.
// It defines the scope and lifetime of mock objects, as well as their expectations.
// It is safe to call Controller's methods from multiple goroutines.
// A Controller represents the top-level control of a mock ecosystem. It
// defines the scope and lifetime of mock objects, as well as their
// expectations. It is safe to call Controller's methods from multiple
// goroutines. Each test should create a new Controller and invoke Finish via
// defer.
//
// func TestFoo(t *testing.T) {
// ctrl := gomock.NewController(t)
// defer ctrl.Finish()
// // ..
// }
//
// func TestBar(t *testing.T) {
// t.Run("Sub-Test-1", st) {
// ctrl := gomock.NewController(st)
// defer ctrl.Finish()
// // ..
// })
// t.Run("Sub-Test-2", st) {
// ctrl := gomock.NewController(st)
// defer ctrl.Finish()
// // ..
// })
// })
type Controller struct {
// T should only be called within a generated mock. It is not intended to
// be used in user code and may be changed in future versions. T is the
// TestReporter passed in when creating the Controller via NewController.
// If the TestReporter does not implment a TestHelper it will be wrapped
// If the TestReporter does not implement a TestHelper it will be wrapped
// with a nopTestHelper.
T TestHelper
mu sync.Mutex
@@ -92,6 +113,8 @@ type Controller struct {
finished bool
}
// NewController returns a new Controller. It is the preferred way to create a
// Controller.
func NewController(t TestReporter) *Controller {
h, ok := t.(TestHelper)
if !ok {
@@ -135,6 +158,7 @@ type nopTestHelper struct {
func (h nopTestHelper) Helper() {}
// RecordCall is called by a mock. It should not be called by user code.
func (ctrl *Controller) RecordCall(receiver interface{}, method string, args ...interface{}) *Call {
ctrl.T.Helper()
@@ -148,6 +172,7 @@ func (ctrl *Controller) RecordCall(receiver interface{}, method string, args ...
panic("unreachable")
}
// RecordCallWithMethodType is called by a mock. It should not be called by user code.
func (ctrl *Controller) RecordCallWithMethodType(receiver interface{}, method string, methodType reflect.Type, args ...interface{}) *Call {
ctrl.T.Helper()
@@ -160,6 +185,7 @@ func (ctrl *Controller) RecordCallWithMethodType(receiver interface{}, method st
return call
}
// Call is called by a mock. It should not be called by user code.
func (ctrl *Controller) Call(receiver interface{}, method string, args ...interface{}) []interface{} {
ctrl.T.Helper()
@@ -183,7 +209,7 @@ func (ctrl *Controller) Call(receiver interface{}, method string, args ...interf
ctrl.expectedCalls.Remove(preReqCall)
}
actions := expected.call(args)
actions := expected.call()
if expected.exhausted() {
ctrl.expectedCalls.Remove(expected)
}
@@ -200,6 +226,9 @@ func (ctrl *Controller) Call(receiver interface{}, method string, args ...interf
return rets
}
// Finish checks to see if all the methods that were expected to be called
// were called. It should be invoked for each Controller. It is not idempotent
// and therefore can only be invoked once.
func (ctrl *Controller) Finish() {
ctrl.T.Helper()

147
vendor/github.com/golang/mock/gomock/matchers.go generated vendored
View File

@@ -17,6 +17,7 @@ package gomock
import (
"fmt"
"reflect"
"strings"
)
// A Matcher is a representation of a class of values.
@@ -29,9 +30,66 @@ type Matcher interface {
String() string
}
// WantFormatter modifies the given Matcher's String() method to the given
// Stringer. This allows for control on how the "Want" is formatted when
// printing .
func WantFormatter(s fmt.Stringer, m Matcher) Matcher {
type matcher interface {
Matches(x interface{}) bool
}
return struct {
matcher
fmt.Stringer
}{
matcher: m,
Stringer: s,
}
}
// StringerFunc type is an adapter to allow the use of ordinary functions as
// a Stringer. If f is a function with the appropriate signature,
// StringerFunc(f) is a Stringer that calls f.
type StringerFunc func() string
// String implements fmt.Stringer.
func (f StringerFunc) String() string {
return f()
}
// GotFormatter is used to better print failure messages. If a matcher
// implements GotFormatter, it will use the result from Got when printing
// the failure message.
type GotFormatter interface {
// Got is invoked with the received value. The result is used when
// printing the failure message.
Got(got interface{}) string
}
// GotFormatterFunc type is an adapter to allow the use of ordinary
// functions as a GotFormatter. If f is a function with the appropriate
// signature, GotFormatterFunc(f) is a GotFormatter that calls f.
type GotFormatterFunc func(got interface{}) string
// Got implements GotFormatter.
func (f GotFormatterFunc) Got(got interface{}) string {
return f(got)
}
// GotFormatterAdapter attaches a GotFormatter to a Matcher.
func GotFormatterAdapter(s GotFormatter, m Matcher) Matcher {
return struct {
GotFormatter
Matcher
}{
GotFormatter: s,
Matcher: m,
}
}
type anyMatcher struct{}
func (anyMatcher) Matches(x interface{}) bool {
func (anyMatcher) Matches(interface{}) bool {
return true
}
@@ -97,10 +155,81 @@ func (m assignableToTypeOfMatcher) String() string {
return "is assignable to " + m.targetType.Name()
}
type allMatcher struct {
matchers []Matcher
}
func (am allMatcher) Matches(x interface{}) bool {
for _, m := range am.matchers {
if !m.Matches(x) {
return false
}
}
return true
}
func (am allMatcher) String() string {
ss := make([]string, 0, len(am.matchers))
for _, matcher := range am.matchers {
ss = append(ss, matcher.String())
}
return strings.Join(ss, "; ")
}
type lenMatcher struct {
i int
}
func (m lenMatcher) Matches(x interface{}) bool {
v := reflect.ValueOf(x)
switch v.Kind() {
case reflect.Array, reflect.Chan, reflect.Map, reflect.Slice, reflect.String:
return v.Len() == m.i
default:
return false
}
}
func (m lenMatcher) String() string {
return fmt.Sprintf("has length %d", m.i)
}
// Constructors
func Any() Matcher { return anyMatcher{} }
// All returns a composite Matcher that returns true if and only all of the
// matchers return true.
func All(ms ...Matcher) Matcher { return allMatcher{ms} }
// Any returns a matcher that always matches.
func Any() Matcher { return anyMatcher{} }
// Eq returns a matcher that matches on equality.
//
// Example usage:
// Eq(5).Matches(5) // returns true
// Eq(5).Matches(4) // returns false
func Eq(x interface{}) Matcher { return eqMatcher{x} }
func Nil() Matcher { return nilMatcher{} }
// Len returns a matcher that matches on length. This matcher returns false if
// is compared to a type that is not an array, chan, map, slice, or string.
func Len(i int) Matcher {
return lenMatcher{i}
}
// Nil returns a matcher that matches if the received value is nil.
//
// Example usage:
// var x *bytes.Buffer
// Nil().Matches(x) // returns true
// x = &bytes.Buffer{}
// Nil().Matches(x) // returns false
func Nil() Matcher { return nilMatcher{} }
// Not reverses the results of its given child matcher.
//
// Example usage:
// Not(Eq(5)).Matches(4) // returns true
// Not(Eq(5)).Matches(5) // returns false
func Not(x interface{}) Matcher {
if m, ok := x.(Matcher); ok {
return notMatcher{m}
@@ -112,11 +241,15 @@ func Not(x interface{}) Matcher {
// function is assignable to the type of the parameter to this function.
//
// Example usage:
// var s fmt.Stringer = &bytes.Buffer{}
// AssignableToTypeOf(s).Matches(time.Second) // returns true
// AssignableToTypeOf(s).Matches(99) // returns false
//
// dbMock.EXPECT().
// Insert(gomock.AssignableToTypeOf(&EmployeeRecord{})).
// Return(errors.New("DB error"))
//
// var ctx = reflect.TypeOf((*context.Context)).Elem()
// AssignableToTypeOf(ctx).Matches(context.Background()) // returns true
func AssignableToTypeOf(x interface{}) Matcher {
if xt, ok := x.(reflect.Type); ok {
return assignableToTypeOfMatcher{xt}
}
return assignableToTypeOfMatcher{reflect.TypeOf(x)}
}

2
vendor/github.com/golang/protobuf/proto/lib.go generated vendored
View File

@@ -393,7 +393,7 @@ func (p *Buffer) Bytes() []byte { return p.buf }
// than relying on this API.
//
// If deterministic serialization is requested, map entries will be sorted
// by keys in lexographical order. This is an implementation detail and
// by keys in lexicographical order. This is an implementation detail and
// subject to change.
func (p *Buffer) SetDeterministic(deterministic bool) {
p.deterministic = deterministic

6
vendor/github.com/golang/protobuf/proto/text.go generated vendored
View File

@@ -456,6 +456,8 @@ func (tm *TextMarshaler) writeStruct(w *textWriter, sv reflect.Value) error {
return nil
}
var textMarshalerType = reflect.TypeOf((*encoding.TextMarshaler)(nil)).Elem()
// writeAny writes an arbitrary field.
func (tm *TextMarshaler) writeAny(w *textWriter, v reflect.Value, props *Properties) error {
v = reflect.Indirect(v)
@@ -519,8 +521,8 @@ func (tm *TextMarshaler) writeAny(w *textWriter, v reflect.Value, props *Propert
// mutating this value.
v = v.Addr()
}
if etm, ok := v.Interface().(encoding.TextMarshaler); ok {
text, err := etm.MarshalText()
if v.Type().Implements(textMarshalerType) {
text, err := v.Interface().(encoding.TextMarshaler).MarshalText()
if err != nil {
return err
}

12
vendor/github.com/golang/protobuf/protoc-gen-go/descriptor/descriptor.pb.go generated vendored
View File

@@ -1376,8 +1376,8 @@ type FileOptions struct {
// determining the namespace.
PhpNamespace *string `protobuf:"bytes,41,opt,name=php_namespace,json=phpNamespace" json:"php_namespace,omitempty"`
// Use this option to change the namespace of php generated metadata classes.
// Default is empty. When this option is empty, the proto file name will be used
// for determining the namespace.
// Default is empty. When this option is empty, the proto file name will be
// used for determining the namespace.
PhpMetadataNamespace *string `protobuf:"bytes,44,opt,name=php_metadata_namespace,json=phpMetadataNamespace" json:"php_metadata_namespace,omitempty"`
// Use this option to change the package of ruby generated classes. Default
// is empty. When this option is not set, the package name will be used for
@@ -1627,7 +1627,7 @@ type MessageOptions struct {
//
// Implementations may choose not to generate the map_entry=true message, but
// use a native map in the target language to hold the keys and values.
// The reflection APIs in such implementions still need to work as
// The reflection APIs in such implementations still need to work as
// if the field is a repeated message field.
//
// NOTE: Do not set the option in .proto files. Always use the maps syntax
@@ -2377,7 +2377,7 @@ type SourceCodeInfo struct {
// beginning of the "extend" block and is shared by all extensions within
// the block.
// - Just because a location's span is a subset of some other location's span
// does not mean that it is a descendent. For example, a "group" defines
// does not mean that it is a descendant. For example, a "group" defines
// both a type and a field in a single declaration. Thus, the locations
// corresponding to the type and field and their components will overlap.
// - Code which tries to interpret locations should probably be designed to
@@ -2718,7 +2718,9 @@ func init() {
proto.RegisterType((*GeneratedCodeInfo_Annotation)(nil), "google.protobuf.GeneratedCodeInfo.Annotation")
}
func init() { proto.RegisterFile("google/protobuf/descriptor.proto", fileDescriptor_e5baabe45344a177) }
func init() {
proto.RegisterFile("google/protobuf/descriptor.proto", fileDescriptor_e5baabe45344a177)
}
var fileDescriptor_e5baabe45344a177 = []byte{
// 2589 bytes of a gzipped FileDescriptorProto

140
vendor/github.com/golang/protobuf/protoc-gen-go/descriptor/descriptor.proto generated vendored
View File

@@ -40,6 +40,7 @@
syntax = "proto2";
package google.protobuf;
option go_package = "github.com/golang/protobuf/protoc-gen-go/descriptor;descriptor";
option java_package = "com.google.protobuf";
option java_outer_classname = "DescriptorProtos";
@@ -59,8 +60,8 @@ message FileDescriptorSet {
// Describes a complete .proto file.
message FileDescriptorProto {
optional string name = 1; // file name, relative to root of source tree
optional string package = 2; // e.g. "foo", "foo.bar", etc.
optional string name = 1; // file name, relative to root of source tree
optional string package = 2; // e.g. "foo", "foo.bar", etc.
// Names of files imported by this file.
repeated string dependency = 3;
@@ -100,8 +101,8 @@ message DescriptorProto {
repeated EnumDescriptorProto enum_type = 4;
message ExtensionRange {
optional int32 start = 1;
optional int32 end = 2;
optional int32 start = 1; // Inclusive.
optional int32 end = 2; // Exclusive.
optional ExtensionRangeOptions options = 3;
}
@@ -115,8 +116,8 @@ message DescriptorProto {
// fields or extension ranges in the same message. Reserved ranges may
// not overlap.
message ReservedRange {
optional int32 start = 1; // Inclusive.
optional int32 end = 2; // Exclusive.
optional int32 start = 1; // Inclusive.
optional int32 end = 2; // Exclusive.
}
repeated ReservedRange reserved_range = 9;
// Reserved field names, which may not be used by fields in the same message.
@@ -137,42 +138,42 @@ message FieldDescriptorProto {
enum Type {
// 0 is reserved for errors.
// Order is weird for historical reasons.
TYPE_DOUBLE = 1;
TYPE_FLOAT = 2;
TYPE_DOUBLE = 1;
TYPE_FLOAT = 2;
// Not ZigZag encoded. Negative numbers take 10 bytes. Use TYPE_SINT64 if
// negative values are likely.
TYPE_INT64 = 3;
TYPE_UINT64 = 4;
TYPE_INT64 = 3;
TYPE_UINT64 = 4;
// Not ZigZag encoded. Negative numbers take 10 bytes. Use TYPE_SINT32 if
// negative values are likely.
TYPE_INT32 = 5;
TYPE_FIXED64 = 6;
TYPE_FIXED32 = 7;
TYPE_BOOL = 8;
TYPE_STRING = 9;
TYPE_INT32 = 5;
TYPE_FIXED64 = 6;
TYPE_FIXED32 = 7;
TYPE_BOOL = 8;
TYPE_STRING = 9;
// Tag-delimited aggregate.
// Group type is deprecated and not supported in proto3. However, Proto3
// implementations should still be able to parse the group wire format and
// treat group fields as unknown fields.
TYPE_GROUP = 10;
TYPE_MESSAGE = 11; // Length-delimited aggregate.
TYPE_GROUP = 10;
TYPE_MESSAGE = 11; // Length-delimited aggregate.
// New in version 2.
TYPE_BYTES = 12;
TYPE_UINT32 = 13;
TYPE_ENUM = 14;
TYPE_SFIXED32 = 15;
TYPE_SFIXED64 = 16;
TYPE_SINT32 = 17; // Uses ZigZag encoding.
TYPE_SINT64 = 18; // Uses ZigZag encoding.
};
TYPE_BYTES = 12;
TYPE_UINT32 = 13;
TYPE_ENUM = 14;
TYPE_SFIXED32 = 15;
TYPE_SFIXED64 = 16;
TYPE_SINT32 = 17; // Uses ZigZag encoding.
TYPE_SINT64 = 18; // Uses ZigZag encoding.
}
enum Label {
// 0 is reserved for errors
LABEL_OPTIONAL = 1;
LABEL_REQUIRED = 2;
LABEL_REPEATED = 3;
};
LABEL_OPTIONAL = 1;
LABEL_REQUIRED = 2;
LABEL_REPEATED = 3;
}
optional string name = 1;
optional int32 number = 3;
@@ -234,8 +235,8 @@ message EnumDescriptorProto {
// is inclusive such that it can appropriately represent the entire int32
// domain.
message EnumReservedRange {
optional int32 start = 1; // Inclusive.
optional int32 end = 2; // Inclusive.
optional int32 start = 1; // Inclusive.
optional int32 end = 2; // Inclusive.
}
// Range of reserved numeric values. Reserved numeric values may not be used
@@ -276,9 +277,9 @@ message MethodDescriptorProto {
optional MethodOptions options = 4;
// Identifies if client streams multiple client messages
optional bool client_streaming = 5 [default=false];
optional bool client_streaming = 5 [default = false];
// Identifies if server streams multiple server messages
optional bool server_streaming = 6 [default=false];
optional bool server_streaming = 6 [default = false];
}
@@ -314,7 +315,6 @@ message MethodDescriptorProto {
// If this turns out to be popular, a web service will be set up
// to automatically assign option numbers.
message FileOptions {
// Sets the Java package where classes generated from this .proto will be
@@ -337,7 +337,7 @@ message FileOptions {
// named by java_outer_classname. However, the outer class will still be
// generated to contain the file's getDescriptor() method as well as any
// top-level extensions defined in the file.
optional bool java_multiple_files = 10 [default=false];
optional bool java_multiple_files = 10 [default = false];
// This option does nothing.
optional bool java_generate_equals_and_hash = 20 [deprecated=true];
@@ -348,17 +348,17 @@ message FileOptions {
// Message reflection will do the same.
// However, an extension field still accepts non-UTF-8 byte sequences.
// This option has no effect on when used with the lite runtime.
optional bool java_string_check_utf8 = 27 [default=false];
optional bool java_string_check_utf8 = 27 [default = false];
// Generated classes can be optimized for speed or code size.
enum OptimizeMode {
SPEED = 1; // Generate complete code for parsing, serialization,
// etc.
CODE_SIZE = 2; // Use ReflectionOps to implement these methods.
LITE_RUNTIME = 3; // Generate code using MessageLite and the lite runtime.
SPEED = 1; // Generate complete code for parsing, serialization,
// etc.
CODE_SIZE = 2; // Use ReflectionOps to implement these methods.
LITE_RUNTIME = 3; // Generate code using MessageLite and the lite runtime.
}
optional OptimizeMode optimize_for = 9 [default=SPEED];
optional OptimizeMode optimize_for = 9 [default = SPEED];
// Sets the Go package where structs generated from this .proto will be
// placed. If omitted, the Go package will be derived from the following:
@@ -369,6 +369,7 @@ message FileOptions {
// Should generic services be generated in each language? "Generic" services
// are not specific to any particular RPC system. They are generated by the
// main code generators in each language (without additional plugins).
@@ -379,20 +380,20 @@ message FileOptions {
// that generate code specific to your particular RPC system. Therefore,
// these default to false. Old code which depends on generic services should
// explicitly set them to true.
optional bool cc_generic_services = 16 [default=false];
optional bool java_generic_services = 17 [default=false];
optional bool py_generic_services = 18 [default=false];
optional bool php_generic_services = 42 [default=false];
optional bool cc_generic_services = 16 [default = false];
optional bool java_generic_services = 17 [default = false];
optional bool py_generic_services = 18 [default = false];
optional bool php_generic_services = 42 [default = false];
// Is this file deprecated?
// Depending on the target platform, this can emit Deprecated annotations
// for everything in the file, or it will be completely ignored; in the very
// least, this is a formalization for deprecating files.
optional bool deprecated = 23 [default=false];
optional bool deprecated = 23 [default = false];
// Enables the use of arenas for the proto messages in this file. This applies
// only to generated classes for C++.
optional bool cc_enable_arenas = 31 [default=false];
optional bool cc_enable_arenas = 31 [default = false];
// Sets the objective c class prefix which is prepended to all objective c
@@ -417,10 +418,9 @@ message FileOptions {
// determining the namespace.
optional string php_namespace = 41;
// Use this option to change the namespace of php generated metadata classes.
// Default is empty. When this option is empty, the proto file name will be used
// for determining the namespace.
// Default is empty. When this option is empty, the proto file name will be
// used for determining the namespace.
optional string php_metadata_namespace = 44;
// Use this option to change the package of ruby generated classes. Default
@@ -428,6 +428,7 @@ message FileOptions {
// determining the ruby package.
optional string ruby_package = 45;
// The parser stores options it doesn't recognize here.
// See the documentation for the "Options" section above.
repeated UninterpretedOption uninterpreted_option = 999;
@@ -458,18 +459,18 @@ message MessageOptions {
//
// Because this is an option, the above two restrictions are not enforced by
// the protocol compiler.
optional bool message_set_wire_format = 1 [default=false];
optional bool message_set_wire_format = 1 [default = false];
// Disables the generation of the standard "descriptor()" accessor, which can
// conflict with a field of the same name. This is meant to make migration
// from proto1 easier; new code should avoid fields named "descriptor".
optional bool no_standard_descriptor_accessor = 2 [default=false];
optional bool no_standard_descriptor_accessor = 2 [default = false];
// Is this message deprecated?
// Depending on the target platform, this can emit Deprecated annotations
// for the message, or it will be completely ignored; in the very least,
// this is a formalization for deprecating messages.
optional bool deprecated = 3 [default=false];
optional bool deprecated = 3 [default = false];
// Whether the message is an automatically generated map entry type for the
// maps field.
@@ -486,7 +487,7 @@ message MessageOptions {
//
// Implementations may choose not to generate the map_entry=true message, but
// use a native map in the target language to hold the keys and values.
// The reflection APIs in such implementions still need to work as
// The reflection APIs in such implementations still need to work as
// if the field is a repeated message field.
//
// NOTE: Do not set the option in .proto files. Always use the maps syntax
@@ -497,6 +498,7 @@ message MessageOptions {
reserved 8; // javalite_serializable
reserved 9; // javanano_as_lite
// The parser stores options it doesn't recognize here. See above.
repeated UninterpretedOption uninterpreted_option = 999;
@@ -576,16 +578,16 @@ message FieldOptions {
// implementation must either *always* check its required fields, or *never*
// check its required fields, regardless of whether or not the message has
// been parsed.
optional bool lazy = 5 [default=false];
optional bool lazy = 5 [default = false];
// Is this field deprecated?
// Depending on the target platform, this can emit Deprecated annotations
// for accessors, or it will be completely ignored; in the very least, this
// is a formalization for deprecating fields.
optional bool deprecated = 3 [default=false];
optional bool deprecated = 3 [default = false];
// For Google-internal migration only. Do not use.
optional bool weak = 10 [default=false];
optional bool weak = 10 [default = false];
// The parser stores options it doesn't recognize here. See above.
@@ -615,7 +617,7 @@ message EnumOptions {
// Depending on the target platform, this can emit Deprecated annotations
// for the enum, or it will be completely ignored; in the very least, this
// is a formalization for deprecating enums.
optional bool deprecated = 3 [default=false];
optional bool deprecated = 3 [default = false];
reserved 5; // javanano_as_lite
@@ -631,7 +633,7 @@ message EnumValueOptions {
// Depending on the target platform, this can emit Deprecated annotations
// for the enum value, or it will be completely ignored; in the very least,
// this is a formalization for deprecating enum values.
optional bool deprecated = 1 [default=false];
optional bool deprecated = 1 [default = false];
// The parser stores options it doesn't recognize here. See above.
repeated UninterpretedOption uninterpreted_option = 999;
@@ -651,7 +653,7 @@ message ServiceOptions {
// Depending on the target platform, this can emit Deprecated annotations
// for the service, or it will be completely ignored; in the very least,
// this is a formalization for deprecating services.
optional bool deprecated = 33 [default=false];
optional bool deprecated = 33 [default = false];
// The parser stores options it doesn't recognize here. See above.
repeated UninterpretedOption uninterpreted_option = 999;
@@ -671,18 +673,18 @@ message MethodOptions {
// Depending on the target platform, this can emit Deprecated annotations
// for the method, or it will be completely ignored; in the very least,
// this is a formalization for deprecating methods.
optional bool deprecated = 33 [default=false];
optional bool deprecated = 33 [default = false];
// Is this method side-effect-free (or safe in HTTP parlance), or idempotent,
// or neither? HTTP based RPC implementation may choose GET verb for safe
// methods, and PUT verb for idempotent methods instead of the default POST.
enum IdempotencyLevel {
IDEMPOTENCY_UNKNOWN = 0;
NO_SIDE_EFFECTS = 1; // implies idempotent
IDEMPOTENT = 2; // idempotent, but may have side effects
NO_SIDE_EFFECTS = 1; // implies idempotent
IDEMPOTENT = 2; // idempotent, but may have side effects
}
optional IdempotencyLevel idempotency_level =
34 [default=IDEMPOTENCY_UNKNOWN];
optional IdempotencyLevel idempotency_level = 34
[default = IDEMPOTENCY_UNKNOWN];
// The parser stores options it doesn't recognize here. See above.
repeated UninterpretedOption uninterpreted_option = 999;
@@ -763,7 +765,7 @@ message SourceCodeInfo {
// beginning of the "extend" block and is shared by all extensions within
// the block.
// - Just because a location's span is a subset of some other location's span
// does not mean that it is a descendent. For example, a "group" defines
// does not mean that it is a descendant. For example, a "group" defines
// both a type and a field in a single declaration. Thus, the locations
// corresponding to the type and field and their components will overlap.
// - Code which tries to interpret locations should probably be designed to
@@ -794,14 +796,14 @@ message SourceCodeInfo {
// [ 4, 3, 2, 7 ]
// this path refers to the whole field declaration (from the beginning
// of the label to the terminating semicolon).
repeated int32 path = 1 [packed=true];
repeated int32 path = 1 [packed = true];
// Always has exactly three or four elements: start line, start column,
// end line (optional, otherwise assumed same as start line), end column.
// These are packed into a single field for efficiency. Note that line
// and column numbers are zero-based -- typically you will want to add
// 1 to each before displaying to a user.
repeated int32 span = 2 [packed=true];
repeated int32 span = 2 [packed = true];
// If this SourceCodeInfo represents a complete declaration, these are any
// comments appearing before and after the declaration which appear to be
@@ -866,7 +868,7 @@ message GeneratedCodeInfo {
message Annotation {
// Identifies the element in the original source .proto file. This field
// is formatted the same as SourceCodeInfo.Location.path.
repeated int32 path = 1 [packed=true];
repeated int32 path = 1 [packed = true];
// Identifies the filesystem path to the original source .proto.
optional string source_file = 2;

7
vendor/github.com/golang/protobuf/ptypes/any/any.pb.go generated vendored
View File

@@ -102,7 +102,8 @@ const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
//
type Any struct {
// A URL/resource name that uniquely identifies the type of the serialized
// protocol buffer message. The last segment of the URL's path must represent
// protocol buffer message. This string must contain at least
// one "/" character. The last segment of the URL's path must represent
// the fully qualified name of the type (as in
// `path/google.protobuf.Duration`). The name should be in a canonical form
// (e.g., leading "." is not accepted).
@@ -181,7 +182,9 @@ func init() {
proto.RegisterType((*Any)(nil), "google.protobuf.Any")
}
func init() { proto.RegisterFile("google/protobuf/any.proto", fileDescriptor_b53526c13ae22eb4) }
func init() {
proto.RegisterFile("google/protobuf/any.proto", fileDescriptor_b53526c13ae22eb4)
}
var fileDescriptor_b53526c13ae22eb4 = []byte{
// 185 bytes of a gzipped FileDescriptorProto

3
vendor/github.com/golang/protobuf/ptypes/any/any.proto generated vendored
View File

@@ -121,7 +121,8 @@ option objc_class_prefix = "GPB";
//
message Any {
// A URL/resource name that uniquely identifies the type of the serialized
// protocol buffer message. The last segment of the URL's path must represent
// protocol buffer message. This string must contain at least
// one "/" character. The last segment of the URL's path must represent
// the fully qualified name of the type (as in
// `path/google.protobuf.Duration`). The name should be in a canonical form
// (e.g., leading "." is not accepted).

6
vendor/github.com/golang/protobuf/ptypes/duration/duration.pb.go generated vendored
View File

@@ -41,7 +41,7 @@ const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
// if (duration.seconds < 0 && duration.nanos > 0) {
// duration.seconds += 1;
// duration.nanos -= 1000000000;
// } else if (durations.seconds > 0 && duration.nanos < 0) {
// } else if (duration.seconds > 0 && duration.nanos < 0) {
// duration.seconds -= 1;
// duration.nanos += 1000000000;
// }
@@ -142,7 +142,9 @@ func init() {
proto.RegisterType((*Duration)(nil), "google.protobuf.Duration")
}
func init() { proto.RegisterFile("google/protobuf/duration.proto", fileDescriptor_23597b2ebd7ac6c5) }
func init() {
proto.RegisterFile("google/protobuf/duration.proto", fileDescriptor_23597b2ebd7ac6c5)
}
var fileDescriptor_23597b2ebd7ac6c5 = []byte{
// 190 bytes of a gzipped FileDescriptorProto

3
vendor/github.com/golang/protobuf/ptypes/duration/duration.proto generated vendored
View File

@@ -61,7 +61,7 @@ option objc_class_prefix = "GPB";
// if (duration.seconds < 0 && duration.nanos > 0) {
// duration.seconds += 1;
// duration.nanos -= 1000000000;
// } else if (durations.seconds > 0 && duration.nanos < 0) {
// } else if (duration.seconds > 0 && duration.nanos < 0) {
// duration.seconds -= 1;
// duration.nanos += 1000000000;
// }
@@ -101,7 +101,6 @@ option objc_class_prefix = "GPB";
//
//
message Duration {
// Signed seconds of the span of time. Must be from -315,576,000,000
// to +315,576,000,000 inclusive. Note: these bounds are computed from:
// 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years

40
vendor/github.com/golang/protobuf/ptypes/timestamp/timestamp.pb.go generated vendored
View File

@@ -20,17 +20,19 @@ var _ = math.Inf
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
// A Timestamp represents a point in time independent of any time zone
// or calendar, represented as seconds and fractions of seconds at
// nanosecond resolution in UTC Epoch time. It is encoded using the
// Proleptic Gregorian Calendar which extends the Gregorian calendar
// backwards to year one. It is encoded assuming all minutes are 60
// seconds long, i.e. leap seconds are "smeared" so that no leap second
// table is needed for interpretation. Range is from
// 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z.
// By restricting to that range, we ensure that we can convert to
// and from RFC 3339 date strings.
// See [https://www.ietf.org/rfc/rfc3339.txt](https://www.ietf.org/rfc/rfc3339.txt).
// A Timestamp represents a point in time independent of any time zone or local
// calendar, encoded as a count of seconds and fractions of seconds at
// nanosecond resolution. The count is relative to an epoch at UTC midnight on
// January 1, 1970, in the proleptic Gregorian calendar which extends the
// Gregorian calendar backwards to year one.
//
// All minutes are 60 seconds long. Leap seconds are "smeared" so that no leap
// second table is needed for interpretation, using a [24-hour linear
// smear](https://developers.google.com/time/smear).
//
// The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By
// restricting to that range, we ensure that we can convert to and from [RFC
// 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings.
//
// # Examples
//
@@ -91,12 +93,14 @@ const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
// 01:30 UTC on January 15, 2017.
//
// In JavaScript, one can convert a Date object to this format using the
// standard [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString]
// standard
// [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString)
// method. In Python, a standard `datetime.datetime` object can be converted
// to this format using [`strftime`](https://docs.python.org/2/library/time.html#time.strftime)
// with the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one
// can use the Joda Time's [`ISODateTimeFormat.dateTime()`](
// http://www.joda.org/joda-time/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime--
// to this format using
// [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with
// the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use
// the Joda Time's [`ISODateTimeFormat.dateTime()`](
// http://www.joda.org/joda-time/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime%2D%2D
// ) to obtain a formatter capable of generating timestamps in this format.
//
//
@@ -160,7 +164,9 @@ func init() {
proto.RegisterType((*Timestamp)(nil), "google.protobuf.Timestamp")
}
func init() { proto.RegisterFile("google/protobuf/timestamp.proto", fileDescriptor_292007bbfe81227e) }
func init() {
proto.RegisterFile("google/protobuf/timestamp.proto", fileDescriptor_292007bbfe81227e)
}
var fileDescriptor_292007bbfe81227e = []byte{
// 191 bytes of a gzipped FileDescriptorProto

37
vendor/github.com/golang/protobuf/ptypes/timestamp/timestamp.proto generated vendored
View File

@@ -40,17 +40,19 @@ option java_outer_classname = "TimestampProto";
option java_multiple_files = true;
option objc_class_prefix = "GPB";
// A Timestamp represents a point in time independent of any time zone
// or calendar, represented as seconds and fractions of seconds at
// nanosecond resolution in UTC Epoch time. It is encoded using the
// Proleptic Gregorian Calendar which extends the Gregorian calendar
// backwards to year one. It is encoded assuming all minutes are 60
// seconds long, i.e. leap seconds are "smeared" so that no leap second
// table is needed for interpretation. Range is from
// 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z.
// By restricting to that range, we ensure that we can convert to
// and from RFC 3339 date strings.
// See [https://www.ietf.org/rfc/rfc3339.txt](https://www.ietf.org/rfc/rfc3339.txt).
// A Timestamp represents a point in time independent of any time zone or local
// calendar, encoded as a count of seconds and fractions of seconds at
// nanosecond resolution. The count is relative to an epoch at UTC midnight on
// January 1, 1970, in the proleptic Gregorian calendar which extends the
// Gregorian calendar backwards to year one.
//
// All minutes are 60 seconds long. Leap seconds are "smeared" so that no leap
// second table is needed for interpretation, using a [24-hour linear
// smear](https://developers.google.com/time/smear).
//
// The range is from 0001-01-01T00:00:00Z to 9999-12-31T23:59:59.999999999Z. By
// restricting to that range, we ensure that we can convert to and from [RFC
// 3339](https://www.ietf.org/rfc/rfc3339.txt) date strings.
//
// # Examples
//
@@ -111,17 +113,18 @@ option objc_class_prefix = "GPB";
// 01:30 UTC on January 15, 2017.
//
// In JavaScript, one can convert a Date object to this format using the
// standard [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString]
// standard
// [toISOString()](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date/toISOString)
// method. In Python, a standard `datetime.datetime` object can be converted
// to this format using [`strftime`](https://docs.python.org/2/library/time.html#time.strftime)
// with the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one
// can use the Joda Time's [`ISODateTimeFormat.dateTime()`](
// http://www.joda.org/joda-time/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime--
// to this format using
// [`strftime`](https://docs.python.org/2/library/time.html#time.strftime) with
// the time format spec '%Y-%m-%dT%H:%M:%S.%fZ'. Likewise, in Java, one can use
// the Joda Time's [`ISODateTimeFormat.dateTime()`](
// http://www.joda.org/joda-time/apidocs/org/joda/time/format/ISODateTimeFormat.html#dateTime%2D%2D
// ) to obtain a formatter capable of generating timestamps in this format.
//
//
message Timestamp {
// Represents seconds of UTC time since Unix epoch
// 1970-01-01T00:00:00Z. Must be from 0001-01-01T00:00:00Z to
// 9999-12-31T23:59:59Z inclusive.

4
vendor/github.com/golang/protobuf/ptypes/wrappers/wrappers.pb.go generated vendored
View File

@@ -437,7 +437,9 @@ func init() {
proto.RegisterType((*BytesValue)(nil), "google.protobuf.BytesValue")
}
func init() { proto.RegisterFile("google/protobuf/wrappers.proto", fileDescriptor_5377b62bda767935) }
func init() {
proto.RegisterFile("google/protobuf/wrappers.proto", fileDescriptor_5377b62bda767935)
}
var fileDescriptor_5377b62bda767935 = []byte{
// 259 bytes of a gzipped FileDescriptorProto

5
vendor/github.com/golang/protobuf/ptypes/wrappers/wrappers.proto generated vendored
View File

@@ -32,6 +32,11 @@
// for embedding primitives in the `google.protobuf.Any` type and for places
// where we need to distinguish between the absence of a primitive
// typed field and its default value.
//
// These wrappers have no meaningful use within repeated fields as they lack
// the ability to detect presence on individual elements.
// These wrappers have no meaningful use within a map or a oneof since
// individual entries of a map or fields of a oneof can already detect presence.
syntax = "proto3";

83
vendor/github.com/google/go-cmp/cmp/compare.go generated vendored
View File

@@ -22,8 +22,8 @@
// equality is determined by recursively comparing the primitive kinds on both
// values, much like reflect.DeepEqual. Unlike reflect.DeepEqual, unexported
// fields are not compared by default; they result in panics unless suppressed
// by using an Ignore option (see cmpopts.IgnoreUnexported) or explicitly compared
// using the AllowUnexported option.
// by using an Ignore option (see cmpopts.IgnoreUnexported) or explicitly
// compared using the Exporter option.
package cmp
import (
@@ -62,8 +62,8 @@ import (
//
// Structs are equal if recursively calling Equal on all fields report equal.
// If a struct contains unexported fields, Equal panics unless an Ignore option
// (e.g., cmpopts.IgnoreUnexported) ignores that field or the AllowUnexported
// option explicitly permits comparing the unexported field.
// (e.g., cmpopts.IgnoreUnexported) ignores that field or the Exporter option
// explicitly permits comparing the unexported field.
//
// Slices are equal if they are both nil or both non-nil, where recursively
// calling Equal on all non-ignored slice or array elements report equal.
@@ -80,6 +80,11 @@ import (
// Pointers and interfaces are equal if they are both nil or both non-nil,
// where they have the same underlying concrete type and recursively
// calling Equal on the underlying values reports equal.
//
// Before recursing into a pointer, slice element, or map, the current path
// is checked to detect whether the address has already been visited.
// If there is a cycle, then the pointed at values are considered equal
// only if both addresses were previously visited in the same path step.
func Equal(x, y interface{}, opts ...Option) bool {
vx := reflect.ValueOf(x)
vy := reflect.ValueOf(y)
@@ -137,6 +142,7 @@ type state struct {
// Calling statelessCompare must not result in observable changes to these.
result diff.Result // The current result of comparison
curPath Path // The current path in the value tree
curPtrs pointerPath // The current set of visited pointers
reporters []reporter // Optional reporters
// recChecker checks for infinite cycles applying the same set of
@@ -148,13 +154,14 @@ type state struct {
dynChecker dynChecker
// These fields, once set by processOption, will not change.
exporters map[reflect.Type]bool // Set of structs with unexported field visibility
opts Options // List of all fundamental and filter options
exporters []exporter // List of exporters for structs with unexported fields
opts Options // List of all fundamental and filter options
}
func newState(opts []Option) *state {
// Always ensure a validator option exists to validate the inputs.
s := &state{opts: Options{validator{}}}
s.curPtrs.Init()
s.processOption(Options(opts))
return s
}
@@ -174,13 +181,8 @@ func (s *state) processOption(opt Option) {
panic(fmt.Sprintf("cannot use an unfiltered option: %v", opt))
}
s.opts = append(s.opts, opt)
case visibleStructs:
if s.exporters == nil {
s.exporters = make(map[reflect.Type]bool)
}
for t := range opt {
s.exporters[t] = true
}
case exporter:
s.exporters = append(s.exporters, opt)
case reporter:
s.reporters = append(s.reporters, opt)
default:
@@ -192,9 +194,9 @@ func (s *state) processOption(opt Option) {
// This function is stateless in that it does not alter the current result,
// or output to any registered reporters.
func (s *state) statelessCompare(step PathStep) diff.Result {
// We do not save and restore the curPath because all of the compareX
// methods should properly push and pop from the path.
// It is an implementation bug if the contents of curPath differs from
// We do not save and restore curPath and curPtrs because all of the
// compareX methods should properly push and pop from them.
// It is an implementation bug if the contents of the paths differ from
// when calling this function to when returning from it.
oldResult, oldReporters := s.result, s.reporters
@@ -216,9 +218,17 @@ func (s *state) compareAny(step PathStep) {
}
s.recChecker.Check(s.curPath)
// Obtain the current type and values.
// Cycle-detection for slice elements (see NOTE in compareSlice).
t := step.Type()
vx, vy := step.Values()
if si, ok := step.(SliceIndex); ok && si.isSlice && vx.IsValid() && vy.IsValid() {
px, py := vx.Addr(), vy.Addr()
if eq, visited := s.curPtrs.Push(px, py); visited {
s.report(eq, reportByCycle)
return
}
defer s.curPtrs.Pop(px, py)
}
// Rule 1: Check whether an option applies on this node in the value tree.
if s.tryOptions(t, vx, vy) {
@@ -354,6 +364,7 @@ func sanitizeValue(v reflect.Value, t reflect.Type) reflect.Value {
func (s *state) compareStruct(t reflect.Type, vx, vy reflect.Value) {
var vax, vay reflect.Value // Addressable versions of vx and vy
var mayForce, mayForceInit bool
step := StructField{&structField{}}
for i := 0; i < t.NumField(); i++ {
step.typ = t.Field(i).Type
@@ -375,7 +386,13 @@ func (s *state) compareStruct(t reflect.Type, vx, vy reflect.Value) {
vax = makeAddressable(vx)
vay = makeAddressable(vy)
}
step.mayForce = s.exporters[t]
if !mayForceInit {
for _, xf := range s.exporters {
mayForce = mayForce || xf(t)
}
mayForceInit = true
}
step.mayForce = mayForce
step.pvx = vax
step.pvy = vay
step.field = t.Field(i)
@@ -391,9 +408,21 @@ func (s *state) compareSlice(t reflect.Type, vx, vy reflect.Value) {
return
}
// TODO: Support cyclic data structures.
// NOTE: It is incorrect to call curPtrs.Push on the slice header pointer
// since slices represents a list of pointers, rather than a single pointer.
// The pointer checking logic must be handled on a per-element basis
// in compareAny.
//
// A slice header (see reflect.SliceHeader) in Go is a tuple of a starting
// pointer P, a length N, and a capacity C. Supposing each slice element has
// a memory size of M, then the slice is equivalent to the list of pointers:
// [P+i*M for i in range(N)]
//
// For example, v[:0] and v[:1] are slices with the same starting pointer,
// but they are clearly different values. Using the slice pointer alone
// violates the assumption that equal pointers implies equal values.
step := SliceIndex{&sliceIndex{pathStep: pathStep{typ: t.Elem()}}}
step := SliceIndex{&sliceIndex{pathStep: pathStep{typ: t.Elem()}, isSlice: isSlice}}
withIndexes := func(ix, iy int) SliceIndex {
if ix >= 0 {
step.vx, step.xkey = vx.Index(ix), ix
@@ -470,7 +499,12 @@ func (s *state) compareMap(t reflect.Type, vx, vy reflect.Value) {
return
}
// TODO: Support cyclic data structures.
// Cycle-detection for maps.
if eq, visited := s.curPtrs.Push(vx, vy); visited {
s.report(eq, reportByCycle)
return
}
defer s.curPtrs.Pop(vx, vy)
// We combine and sort the two map keys so that we can perform the
// comparisons in a deterministic order.
@@ -507,7 +541,12 @@ func (s *state) comparePtr(t reflect.Type, vx, vy reflect.Value) {
return
}
// TODO: Support cyclic data structures.
// Cycle-detection for pointers.
if eq, visited := s.curPtrs.Push(vx, vy); visited {
s.report(eq, reportByCycle)
return
}
defer s.curPtrs.Pop(vx, vy)
vx, vy = vx.Elem(), vy.Elem()
s.compareAny(Indirect{&indirect{pathStep{t.Elem(), vx, vy}}})

4
vendor/github.com/google/go-cmp/cmp/export_panic.go generated vendored
View File

@@ -8,8 +8,8 @@ package cmp
import "reflect"
const supportAllowUnexported = false
const supportExporters = false
func retrieveUnexportedField(reflect.Value, reflect.StructField) reflect.Value {
panic("retrieveUnexportedField is not implemented")
panic("no support for forcibly accessing unexported fields")
}

6
vendor/github.com/google/go-cmp/cmp/export_unsafe.go generated vendored
View File

@@ -11,7 +11,7 @@ import (
"unsafe"
)
const supportAllowUnexported = true
const supportExporters = true
// retrieveUnexportedField uses unsafe to forcibly retrieve any field from
// a struct such that the value has read-write permissions.
@@ -19,5 +19,7 @@ const supportAllowUnexported = true
// The parent struct, v, must be addressable, while f must be a StructField
// describing the field to retrieve.
func retrieveUnexportedField(v reflect.Value, f reflect.StructField) reflect.Value {
return reflect.NewAt(f.Type, unsafe.Pointer(v.UnsafeAddr()+f.Offset)).Elem()
// See https://github.com/google/go-cmp/issues/167 for discussion of the
// following expression.
return reflect.NewAt(f.Type, unsafe.Pointer(uintptr(unsafe.Pointer(v.UnsafeAddr()))+f.Offset)).Elem()
}

55
vendor/github.com/google/go-cmp/cmp/options.go generated vendored
View File

@@ -225,8 +225,20 @@ func (validator) apply(s *state, vx, vy reflect.Value) {
// Unable to Interface implies unexported field without visibility access.
if !vx.CanInterface() || !vy.CanInterface() {
const help = "consider using a custom Comparer; if you control the implementation of type, you can also consider AllowUnexported or cmpopts.IgnoreUnexported"
panic(fmt.Sprintf("cannot handle unexported field: %#v\n%s", s.curPath, help))
const help = "consider using a custom Comparer; if you control the implementation of type, you can also consider using an Exporter, AllowUnexported, or cmpopts.IgnoreUnexported"
var name string
if t := s.curPath.Index(-2).Type(); t.Name() != "" {
// Named type with unexported fields.
name = fmt.Sprintf("%q.%v", t.PkgPath(), t.Name()) // e.g., "path/to/package".MyType
} else {
// Unnamed type with unexported fields. Derive PkgPath from field.
var pkgPath string
for i := 0; i < t.NumField() && pkgPath == ""; i++ {
pkgPath = t.Field(i).PkgPath
}
name = fmt.Sprintf("%q.(%v)", pkgPath, t.String()) // e.g., "path/to/package".(struct { a int })
}
panic(fmt.Sprintf("cannot handle unexported field at %#v:\n\t%v\n%s", s.curPath, name, help))
}
panic("not reachable")
@@ -360,9 +372,8 @@ func (cm comparer) String() string {
return fmt.Sprintf("Comparer(%s)", function.NameOf(cm.fnc))
}
// AllowUnexported returns an Option that forcibly allows operations on
// unexported fields in certain structs, which are specified by passing in a
// value of each struct type.
// Exporter returns an Option that specifies whether Equal is allowed to
// introspect into the unexported fields of certain struct types.
//
// Users of this option must understand that comparing on unexported fields
// from external packages is not safe since changes in the internal
@@ -386,10 +397,24 @@ func (cm comparer) String() string {
//
// In other cases, the cmpopts.IgnoreUnexported option can be used to ignore
// all unexported fields on specified struct types.
func AllowUnexported(types ...interface{}) Option {
if !supportAllowUnexported {
panic("AllowUnexported is not supported on purego builds, Google App Engine Standard, or GopherJS")
func Exporter(f func(reflect.Type) bool) Option {
if !supportExporters {
panic("Exporter is not supported on purego builds")
}
return exporter(f)
}
type exporter func(reflect.Type) bool
func (exporter) filter(_ *state, _ reflect.Type, _, _ reflect.Value) applicableOption {
panic("not implemented")
}
// AllowUnexported returns an Options that allows Equal to forcibly introspect
// unexported fields of the specified struct types.
//
// See Exporter for the proper use of this option.
func AllowUnexported(types ...interface{}) Option {
m := make(map[reflect.Type]bool)
for _, typ := range types {
t := reflect.TypeOf(typ)
@@ -398,13 +423,7 @@ func AllowUnexported(types ...interface{}) Option {
}
m[t] = true
}
return visibleStructs(m)
}
type visibleStructs map[reflect.Type]bool
func (visibleStructs) filter(_ *state, _ reflect.Type, _, _ reflect.Value) applicableOption {
panic("not implemented")
return exporter(func(t reflect.Type) bool { return m[t] })
}
// Result represents the comparison result for a single node and
@@ -436,6 +455,11 @@ func (r Result) ByFunc() bool {
return r.flags&reportByFunc != 0
}
// ByCycle reports whether a reference cycle was detected.
func (r Result) ByCycle() bool {
return r.flags&reportByCycle != 0
}
type resultFlags uint
const (
@@ -446,6 +470,7 @@ const (
reportByIgnore
reportByMethod
reportByFunc
reportByCycle
)
// Reporter is an Option that can be passed to Equal. When Equal traverses

71
vendor/github.com/google/go-cmp/cmp/path.go generated vendored
View File

@@ -10,6 +10,8 @@ import (
"strings"
"unicode"
"unicode/utf8"
"github.com/google/go-cmp/cmp/internal/value"
)
// Path is a list of PathSteps describing the sequence of operations to get
@@ -41,7 +43,7 @@ type PathStep interface {
// In some cases, one or both may be invalid or have restrictions:
// • For StructField, both are not interface-able if the current field
// is unexported and the struct type is not explicitly permitted by
// AllowUnexported to traverse unexported fields.
// an Exporter to traverse unexported fields.
// • For SliceIndex, one may be invalid if an element is missing from
// either the x or y slice.
// • For MapIndex, one may be invalid if an entry is missing from
@@ -207,6 +209,7 @@ type SliceIndex struct{ *sliceIndex }
type sliceIndex struct {
pathStep
xkey, ykey int
isSlice bool // False for reflect.Array
}
func (si SliceIndex) Type() reflect.Type { return si.typ }
@@ -301,6 +304,72 @@ func (tf Transform) Func() reflect.Value { return tf.trans.fnc }
// The == operator can be used to detect the exact option used.
func (tf Transform) Option() Option { return tf.trans }
// pointerPath represents a dual-stack of pointers encountered when
// recursively traversing the x and y values. This data structure supports
// detection of cycles and determining whether the cycles are equal.
// In Go, cycles can occur via pointers, slices, and maps.
//
// The pointerPath uses a map to represent a stack; where descension into a
// pointer pushes the address onto the stack, and ascension from a pointer
// pops the address from the stack. Thus, when traversing into a pointer from
// reflect.Ptr, reflect.Slice element, or reflect.Map, we can detect cycles
// by checking whether the pointer has already been visited. The cycle detection
// uses a seperate stack for the x and y values.
//
// If a cycle is detected we need to determine whether the two pointers
// should be considered equal. The definition of equality chosen by Equal
// requires two graphs to have the same structure. To determine this, both the
// x and y values must have a cycle where the previous pointers were also
// encountered together as a pair.
//
// Semantically, this is equivalent to augmenting Indirect, SliceIndex, and
// MapIndex with pointer information for the x and y values.
// Suppose px and py are two pointers to compare, we then search the
// Path for whether px was ever encountered in the Path history of x, and
// similarly so with py. If either side has a cycle, the comparison is only
// equal if both px and py have a cycle resulting from the same PathStep.
//
// Using a map as a stack is more performant as we can perform cycle detection
// in O(1) instead of O(N) where N is len(Path).
type pointerPath struct {
// mx is keyed by x pointers, where the value is the associated y pointer.
mx map[value.Pointer]value.Pointer
// my is keyed by y pointers, where the value is the associated x pointer.
my map[value.Pointer]value.Pointer
}
func (p *pointerPath) Init() {
p.mx = make(map[value.Pointer]value.Pointer)
p.my = make(map[value.Pointer]value.Pointer)
}
// Push indicates intent to descend into pointers vx and vy where
// visited reports whether either has been seen before. If visited before,
// equal reports whether both pointers were encountered together.
// Pop must be called if and only if the pointers were never visited.
//
// The pointers vx and vy must be a reflect.Ptr, reflect.Slice, or reflect.Map
// and be non-nil.
func (p pointerPath) Push(vx, vy reflect.Value) (equal, visited bool) {
px := value.PointerOf(vx)
py := value.PointerOf(vy)
_, ok1 := p.mx[px]
_, ok2 := p.my[py]
if ok1 || ok2 {
equal = p.mx[px] == py && p.my[py] == px // Pointers paired together
return equal, true
}
p.mx[px] = py
p.my[py] = px
return false, false
}
// Pop ascends from pointers vx and vy.
func (p pointerPath) Pop(vx, vy reflect.Value) {
delete(p.mx, value.PointerOf(vx))
delete(p.my, value.PointerOf(vy))
}
// isExported reports whether the identifier is exported.
func isExported(id string) bool {
r, _ := utf8.DecodeRuneInString(id)

2
vendor/github.com/google/gofuzz/README.md generated vendored
View File

@@ -3,7 +3,7 @@ gofuzz
gofuzz is a library for populating go objects with random values.
[![GoDoc](https://godoc.org/github.com/google/gofuzz?status.png)](https://godoc.org/github.com/google/gofuzz)
[![GoDoc](https://godoc.org/github.com/google/gofuzz?status.svg)](https://godoc.org/github.com/google/gofuzz)
[![Travis](https://travis-ci.org/google/gofuzz.svg?branch=master)](https://travis-ci.org/google/gofuzz)
This is useful for testing:

35
vendor/github.com/google/gofuzz/fuzz.go generated vendored
View File

@@ -20,6 +20,7 @@ import (
"fmt"
"math/rand"
"reflect"
"regexp"
"time"
)
@@ -28,13 +29,14 @@ type fuzzFuncMap map[reflect.Type]reflect.Value
// Fuzzer knows how to fill any object with random fields.
type Fuzzer struct {
fuzzFuncs fuzzFuncMap
defaultFuzzFuncs fuzzFuncMap
r *rand.Rand
nilChance float64
minElements int
maxElements int
maxDepth int
fuzzFuncs fuzzFuncMap
defaultFuzzFuncs fuzzFuncMap
r *rand.Rand
nilChance float64
minElements int
maxElements int
maxDepth int
skipFieldPatterns []*regexp.Regexp
}
// New returns a new Fuzzer. Customize your Fuzzer further by calling Funcs,
@@ -150,6 +152,13 @@ func (f *Fuzzer) MaxDepth(d int) *Fuzzer {
return f
}
// Skip fields which match the supplied pattern. Call this multiple times if needed
// This is useful to skip XXX_ fields generated by protobuf
func (f *Fuzzer) SkipFieldsWithPattern(pattern *regexp.Regexp) *Fuzzer {
f.skipFieldPatterns = append(f.skipFieldPatterns, pattern)
return f
}
// Fuzz recursively fills all of obj's fields with something random. First
// this tries to find a custom fuzz function (see Funcs). If there is no
// custom function this tests whether the object implements fuzz.Interface and,
@@ -274,7 +283,17 @@ func (fc *fuzzerContext) doFuzz(v reflect.Value, flags uint64) {
v.Set(reflect.Zero(v.Type()))
case reflect.Struct:
for i := 0; i < v.NumField(); i++ {
fc.doFuzz(v.Field(i), 0)
skipField := false
fieldName := v.Type().Field(i).Name
for _, pattern := range fc.fuzzer.skipFieldPatterns {
if pattern.MatchString(fieldName) {
skipField = true
break
}
}
if !skipField {
fc.doFuzz(v.Field(i), 0)
}
}
case reflect.Chan:
fallthrough

12
vendor/github.com/imdario/mergo/.deepsource.toml generated vendored Normal file
View File

@@ -0,0 +1,12 @@
version = 1
test_patterns = [
"*_test.go"
]
[[analyzers]]
name = "go"
enabled = true
[analyzers.meta]
import_path = "github.com/imdario/mergo"

2
vendor/github.com/imdario/mergo/.travis.yml generated vendored
View File

@@ -4,4 +4,6 @@ install:
- go get golang.org/x/tools/cmd/cover
- go get github.com/mattn/goveralls
script:
- go test -race -v ./...
after_script:
- $HOME/gopath/bin/goveralls -service=travis-ci -repotoken $COVERALLS_TOKEN

7
vendor/github.com/imdario/mergo/map.go generated vendored
View File

@@ -99,11 +99,11 @@ func deepMap(dst, src reflect.Value, visited map[uintptr]*visit, depth int, conf
continue
}
if srcKind == dstKind {
if err = deepMerge(dstElement, srcElement, visited, depth+1, config); err != nil {
if _, err = deepMerge(dstElement, srcElement, visited, depth+1, config); err != nil {
return
}
} else if dstKind == reflect.Interface && dstElement.Kind() == reflect.Interface {
if err = deepMerge(dstElement, srcElement, visited, depth+1, config); err != nil {
if _, err = deepMerge(dstElement, srcElement, visited, depth+1, config); err != nil {
return
}
} else if srcKind == reflect.Map {
@@ -157,7 +157,8 @@ func _map(dst, src interface{}, opts ...func(*Config)) error {
// To be friction-less, we redirect equal-type arguments
// to deepMerge. Only because arguments can be anything.
if vSrc.Kind() == vDst.Kind() {
return deepMerge(vDst, vSrc, make(map[uintptr]*visit), 0, config)
_, err := deepMerge(vDst, vSrc, make(map[uintptr]*visit), 0, config)
return err
}
switch vSrc.Kind() {
case reflect.Struct:

269
vendor/github.com/imdario/mergo/merge.go generated vendored
View File

@@ -11,25 +11,39 @@ package mergo
import (
"fmt"
"reflect"
"unsafe"
)
func hasExportedField(dst reflect.Value) (exported bool) {
for i, n := 0, dst.NumField(); i < n; i++ {
field := dst.Type().Field(i)
if field.Anonymous && dst.Field(i).Kind() == reflect.Struct {
exported = exported || hasExportedField(dst.Field(i))
} else {
exported = exported || len(field.PkgPath) == 0
if isExportedComponent(&field) {
return true
}
}
return
}
func isExportedComponent(field *reflect.StructField) bool {
name := field.Name
pkgPath := field.PkgPath
if len(pkgPath) > 0 {
return false
}
c := name[0]
if 'a' <= c && c <= 'z' || c == '_' {
return false
}
return true
}
type Config struct {
Overwrite bool
AppendSlice bool
Transformers Transformers
overwriteWithEmptyValue bool
Overwrite bool
AppendSlice bool
TypeCheck bool
Transformers Transformers
overwriteWithEmptyValue bool
overwriteSliceWithEmptyValue bool
}
type Transformers interface {
@@ -39,14 +53,17 @@ type Transformers interface {
// Traverses recursively both values, assigning src's fields values to dst.
// The map argument tracks comparisons that have already been seen, which allows
// short circuiting on recursive types.
func deepMerge(dst, src reflect.Value, visited map[uintptr]*visit, depth int, config *Config) (err error) {
func deepMerge(dstIn, src reflect.Value, visited map[uintptr]*visit, depth int, config *Config) (dst reflect.Value, err error) {
dst = dstIn
overwrite := config.Overwrite
typeCheck := config.TypeCheck
overwriteWithEmptySrc := config.overwriteWithEmptyValue
config.overwriteWithEmptyValue = false
overwriteSliceWithEmptySrc := config.overwriteSliceWithEmptyValue
if !src.IsValid() {
return
}
if dst.CanAddr() {
addr := dst.UnsafeAddr()
h := 17 * addr
@@ -54,7 +71,7 @@ func deepMerge(dst, src reflect.Value, visited map[uintptr]*visit, depth int, co
typ := dst.Type()
for p := seen; p != nil; p = p.next {
if p.ptr == addr && p.typ == typ {
return nil
return dst, nil
}
}
// Remember, remember...
@@ -68,136 +85,170 @@ func deepMerge(dst, src reflect.Value, visited map[uintptr]*visit, depth int, co
}
}
if dst.IsValid() && src.IsValid() && src.Type() != dst.Type() {
err = fmt.Errorf("cannot append two different types (%s, %s)", src.Kind(), dst.Kind())
return
}
switch dst.Kind() {
case reflect.Struct:
if hasExportedField(dst) {
dstCp := reflect.New(dst.Type()).Elem()
for i, n := 0, dst.NumField(); i < n; i++ {
if err = deepMerge(dst.Field(i), src.Field(i), visited, depth+1, config); err != nil {
dstField := dst.Field(i)
structField := dst.Type().Field(i)
// copy un-exported struct fields
if !isExportedComponent(&structField) {
rf := dstCp.Field(i)
rf = reflect.NewAt(rf.Type(), unsafe.Pointer(rf.UnsafeAddr())).Elem() //nolint:gosec
dstRF := dst.Field(i)
if !dst.Field(i).CanAddr() {
continue
}
dstRF = reflect.NewAt(dstRF.Type(), unsafe.Pointer(dstRF.UnsafeAddr())).Elem() //nolint:gosec
rf.Set(dstRF)
continue
}
dstField, err = deepMerge(dstField, src.Field(i), visited, depth+1, config)
if err != nil {
return
}
dstCp.Field(i).Set(dstField)
}
if dst.CanSet() {
dst.Set(dstCp)
} else {
dst = dstCp
}
return
} else {
if dst.CanSet() && (!isEmptyValue(src) || overwriteWithEmptySrc) && (overwrite || isEmptyValue(dst)) {
dst.Set(src)
if (isReflectNil(dst) || overwrite) && (!isEmptyValue(src) || overwriteWithEmptySrc) {
dst = src
}
}
case reflect.Map:
if dst.IsNil() && !src.IsNil() {
dst.Set(reflect.MakeMap(dst.Type()))
if dst.CanSet() {
dst.Set(reflect.MakeMap(dst.Type()))
} else {
dst = src
return
}
}
for _, key := range src.MapKeys() {
srcElement := src.MapIndex(key)
dstElement := dst.MapIndex(key)
if !srcElement.IsValid() {
continue
}
dstElement := dst.MapIndex(key)
switch srcElement.Kind() {
case reflect.Chan, reflect.Func, reflect.Map, reflect.Interface, reflect.Slice:
if srcElement.IsNil() {
continue
}
fallthrough
default:
if !srcElement.CanInterface() {
continue
}
switch reflect.TypeOf(srcElement.Interface()).Kind() {
case reflect.Struct:
fallthrough
case reflect.Ptr:
fallthrough
case reflect.Map:
srcMapElm := srcElement
dstMapElm := dstElement
if srcMapElm.CanInterface() {
srcMapElm = reflect.ValueOf(srcMapElm.Interface())
if dstMapElm.IsValid() {
dstMapElm = reflect.ValueOf(dstMapElm.Interface())
}
}
if err = deepMerge(dstMapElm, srcMapElm, visited, depth+1, config); err != nil {
return
}
case reflect.Slice:
srcSlice := reflect.ValueOf(srcElement.Interface())
var dstSlice reflect.Value
if !dstElement.IsValid() || dstElement.IsNil() {
dstSlice = reflect.MakeSlice(srcSlice.Type(), 0, srcSlice.Len())
} else {
dstSlice = reflect.ValueOf(dstElement.Interface())
}
if (!isEmptyValue(src) || overwriteWithEmptySrc) && (overwrite || isEmptyValue(dst)) && !config.AppendSlice {
dstSlice = srcSlice
} else if config.AppendSlice {
if srcSlice.Type() != dstSlice.Type() {
return fmt.Errorf("cannot append two slice with different type (%s, %s)", srcSlice.Type(), dstSlice.Type())
}
dstSlice = reflect.AppendSlice(dstSlice, srcSlice)
}
dst.SetMapIndex(key, dstSlice)
}
if dst.MapIndex(key).IsValid() {
k := dstElement.Interface()
dstElement = reflect.ValueOf(k)
}
if dstElement.IsValid() && !isEmptyValue(dstElement) && (reflect.TypeOf(srcElement.Interface()).Kind() == reflect.Map || reflect.TypeOf(srcElement.Interface()).Kind() == reflect.Slice) {
if isReflectNil(srcElement) {
if overwrite || isReflectNil(dstElement) {
dst.SetMapIndex(key, srcElement)
}
continue
}
if !srcElement.CanInterface() {
continue
}
if srcElement.IsValid() && (overwrite || (!dstElement.IsValid() || isEmptyValue(dstElement))) {
if dst.IsNil() {
dst.Set(reflect.MakeMap(dst.Type()))
if srcElement.CanInterface() {
srcElement = reflect.ValueOf(srcElement.Interface())
if dstElement.IsValid() {
dstElement = reflect.ValueOf(dstElement.Interface())
}
dst.SetMapIndex(key, srcElement)
}
dstElement, err = deepMerge(dstElement, srcElement, visited, depth+1, config)
if err != nil {
return
}
dst.SetMapIndex(key, dstElement)
}
case reflect.Slice:
if !dst.CanSet() {
break
}
if (!isEmptyValue(src) || overwriteWithEmptySrc) && (overwrite || isEmptyValue(dst)) && !config.AppendSlice {
dst.Set(src)
} else if config.AppendSlice {
if src.Type() != dst.Type() {
return fmt.Errorf("cannot append two slice with different type (%s, %s)", src.Type(), dst.Type())
newSlice := dst
if (!isEmptyValue(src) || overwriteWithEmptySrc || overwriteSliceWithEmptySrc) && (overwrite || isEmptyValue(dst)) && !config.AppendSlice {
if typeCheck && src.Type() != dst.Type() {
return dst, fmt.Errorf("cannot override two slices with different type (%s, %s)", src.Type(), dst.Type())
}
dst.Set(reflect.AppendSlice(dst, src))
newSlice = src
} else if config.AppendSlice {
if typeCheck && src.Type() != dst.Type() {
err = fmt.Errorf("cannot append two slice with different type (%s, %s)", src.Type(), dst.Type())
return
}
newSlice = reflect.AppendSlice(dst, src)
}
case reflect.Ptr:
fallthrough
case reflect.Interface:
if src.IsNil() {
if dst.CanSet() {
dst.Set(newSlice)
} else {
dst = newSlice
}
case reflect.Ptr, reflect.Interface:
if isReflectNil(src) {
break
}
if src.Kind() != reflect.Interface {
if dst.Kind() != reflect.Ptr && src.Type().AssignableTo(dst.Type()) {
if dst.IsNil() || overwrite {
if overwrite || isEmptyValue(dst) {
if dst.CanSet() {
dst.Set(src)
} else {
dst = src
}
}
}
break
}
if src.Kind() != reflect.Interface {
if dst.IsNil() || (src.Kind() != reflect.Ptr && overwrite) {
if dst.CanSet() && (overwrite || isEmptyValue(dst)) {
dst.Set(src)
}
} else if src.Kind() == reflect.Ptr {
if err = deepMerge(dst.Elem(), src.Elem(), visited, depth+1, config); err != nil {
if dst, err = deepMerge(dst.Elem(), src.Elem(), visited, depth+1, config); err != nil {
return
}
dst = dst.Addr()
} else if dst.Elem().Type() == src.Type() {
if err = deepMerge(dst.Elem(), src, visited, depth+1, config); err != nil {
if dst, err = deepMerge(dst.Elem(), src, visited, depth+1, config); err != nil {
return
}
} else {
return ErrDifferentArgumentsTypes
return dst, ErrDifferentArgumentsTypes
}
break
}
if dst.IsNil() || overwrite {
if dst.CanSet() && (overwrite || isEmptyValue(dst)) {
dst.Set(src)
if (overwrite || isEmptyValue(dst)) && (overwriteWithEmptySrc || !isEmptyValue(src)) {
if dst.CanSet() {
dst.Set(src)
} else {
dst = src
}
}
} else if err = deepMerge(dst.Elem(), src.Elem(), visited, depth+1, config); err != nil {
} else if _, err = deepMerge(dst.Elem(), src.Elem(), visited, depth+1, config); err != nil {
return
}
default:
if dst.CanSet() && (!isEmptyValue(src) || overwriteWithEmptySrc) && (overwrite || isEmptyValue(dst)) {
dst.Set(src)
overwriteFull := (!isEmptyValue(src) || overwriteWithEmptySrc) && (overwrite || isEmptyValue(dst))
if overwriteFull {
if dst.CanSet() {
dst.Set(src)
} else {
dst = src
}
}
}
return
}
@@ -209,7 +260,7 @@ func Merge(dst, src interface{}, opts ...func(*Config)) error {
return merge(dst, src, opts...)
}
// MergeWithOverwrite will do the same as Merge except that non-empty dst attributes will be overriden by
// MergeWithOverwrite will do the same as Merge except that non-empty dst attributes will be overridden by
// non-empty src attribute values.
// Deprecated: use Merge(…) with WithOverride
func MergeWithOverwrite(dst, src interface{}, opts ...func(*Config)) error {
@@ -228,11 +279,26 @@ func WithOverride(config *Config) {
config.Overwrite = true
}
// WithAppendSlice will make merge append slices instead of overwriting it
// WithOverwriteWithEmptyValue will make merge override non empty dst attributes with empty src attributes values.
func WithOverwriteWithEmptyValue(config *Config) {
config.overwriteWithEmptyValue = true
}
// WithOverrideEmptySlice will make merge override empty dst slice with empty src slice.
func WithOverrideEmptySlice(config *Config) {
config.overwriteSliceWithEmptyValue = true
}
// WithAppendSlice will make merge append slices instead of overwriting it.
func WithAppendSlice(config *Config) {
config.AppendSlice = true
}
// WithTypeCheck will make merge check types while overwriting it (must be used with WithOverride).
func WithTypeCheck(config *Config) {
config.TypeCheck = true
}
func merge(dst, src interface{}, opts ...func(*Config)) error {
var (
vDst, vSrc reflect.Value
@@ -248,8 +314,25 @@ func merge(dst, src interface{}, opts ...func(*Config)) error {
if vDst, vSrc, err = resolveValues(dst, src); err != nil {
return err
}
if !vDst.CanSet() {
return fmt.Errorf("cannot set dst, needs reference")
}
if vDst.Type() != vSrc.Type() {
return ErrDifferentArgumentsTypes
}
return deepMerge(vDst, vSrc, make(map[uintptr]*visit), 0, config)
_, err = deepMerge(vDst, vSrc, make(map[uintptr]*visit), 0, config)
return err
}
// IsReflectNil is the reflect value provided nil
func isReflectNil(v reflect.Value) bool {
k := v.Kind()
switch k {
case reflect.Interface, reflect.Slice, reflect.Chan, reflect.Func, reflect.Map, reflect.Ptr:
// Both interface and slice are nil if first word is 0.
// Both are always bigger than a word; assume flagIndir.
return v.IsNil()
default:
return false
}
}

266
vendor/github.com/prometheus/client_model/go/metrics.pb.go generated vendored
View File

@@ -1,11 +1,14 @@
// Code generated by protoc-gen-go. DO NOT EDIT.
// source: metrics.proto
package io_prometheus_client // import "github.com/prometheus/client_model/go"
package io_prometheus_client
import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import (
fmt "fmt"
proto "github.com/golang/protobuf/proto"
timestamp "github.com/golang/protobuf/ptypes/timestamp"
math "math"
)
// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
@@ -16,7 +19,7 @@ var _ = math.Inf
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion2 // please upgrade the proto package
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package
type MetricType int32
@@ -35,6 +38,7 @@ var MetricType_name = map[int32]string{
3: "UNTYPED",
4: "HISTOGRAM",
}
var MetricType_value = map[string]int32{
"COUNTER": 0,
"GAUGE": 1,
@@ -48,9 +52,11 @@ func (x MetricType) Enum() *MetricType {
*p = x
return p
}
func (x MetricType) String() string {
return proto.EnumName(MetricType_name, int32(x))
}
func (x *MetricType) UnmarshalJSON(data []byte) error {
value, err := proto.UnmarshalJSONEnum(MetricType_value, data, "MetricType")
if err != nil {
@@ -59,8 +65,9 @@ func (x *MetricType) UnmarshalJSON(data []byte) error {
*x = MetricType(value)
return nil
}
func (MetricType) EnumDescriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{0}
return fileDescriptor_6039342a2ba47b72, []int{0}
}
type LabelPair struct {
@@ -75,16 +82,17 @@ func (m *LabelPair) Reset() { *m = LabelPair{} }
func (m *LabelPair) String() string { return proto.CompactTextString(m) }
func (*LabelPair) ProtoMessage() {}
func (*LabelPair) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{0}
return fileDescriptor_6039342a2ba47b72, []int{0}
}
func (m *LabelPair) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_LabelPair.Unmarshal(m, b)
}
func (m *LabelPair) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_LabelPair.Marshal(b, m, deterministic)
}
func (dst *LabelPair) XXX_Merge(src proto.Message) {
xxx_messageInfo_LabelPair.Merge(dst, src)
func (m *LabelPair) XXX_Merge(src proto.Message) {
xxx_messageInfo_LabelPair.Merge(m, src)
}
func (m *LabelPair) XXX_Size() int {
return xxx_messageInfo_LabelPair.Size(m)
@@ -120,16 +128,17 @@ func (m *Gauge) Reset() { *m = Gauge{} }
func (m *Gauge) String() string { return proto.CompactTextString(m) }
func (*Gauge) ProtoMessage() {}
func (*Gauge) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{1}
return fileDescriptor_6039342a2ba47b72, []int{1}
}
func (m *Gauge) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Gauge.Unmarshal(m, b)
}
func (m *Gauge) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Gauge.Marshal(b, m, deterministic)
}
func (dst *Gauge) XXX_Merge(src proto.Message) {
xxx_messageInfo_Gauge.Merge(dst, src)
func (m *Gauge) XXX_Merge(src proto.Message) {
xxx_messageInfo_Gauge.Merge(m, src)
}
func (m *Gauge) XXX_Size() int {
return xxx_messageInfo_Gauge.Size(m)
@@ -148,26 +157,28 @@ func (m *Gauge) GetValue() float64 {
}
type Counter struct {
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
Value *float64 `protobuf:"fixed64,1,opt,name=value" json:"value,omitempty"`
Exemplar *Exemplar `protobuf:"bytes,2,opt,name=exemplar" json:"exemplar,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *Counter) Reset() { *m = Counter{} }
func (m *Counter) String() string { return proto.CompactTextString(m) }
func (*Counter) ProtoMessage() {}
func (*Counter) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{2}
return fileDescriptor_6039342a2ba47b72, []int{2}
}
func (m *Counter) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Counter.Unmarshal(m, b)
}
func (m *Counter) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Counter.Marshal(b, m, deterministic)
}
func (dst *Counter) XXX_Merge(src proto.Message) {
xxx_messageInfo_Counter.Merge(dst, src)
func (m *Counter) XXX_Merge(src proto.Message) {
xxx_messageInfo_Counter.Merge(m, src)
}
func (m *Counter) XXX_Size() int {
return xxx_messageInfo_Counter.Size(m)
@@ -185,6 +196,13 @@ func (m *Counter) GetValue() float64 {
return 0
}
func (m *Counter) GetExemplar() *Exemplar {
if m != nil {
return m.Exemplar
}
return nil
}
type Quantile struct {
Quantile *float64 `protobuf:"fixed64,1,opt,name=quantile" json:"quantile,omitempty"`
Value *float64 `protobuf:"fixed64,2,opt,name=value" json:"value,omitempty"`
@@ -197,16 +215,17 @@ func (m *Quantile) Reset() { *m = Quantile{} }
func (m *Quantile) String() string { return proto.CompactTextString(m) }
func (*Quantile) ProtoMessage() {}
func (*Quantile) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{3}
return fileDescriptor_6039342a2ba47b72, []int{3}
}
func (m *Quantile) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Quantile.Unmarshal(m, b)
}
func (m *Quantile) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Quantile.Marshal(b, m, deterministic)
}
func (dst *Quantile) XXX_Merge(src proto.Message) {
xxx_messageInfo_Quantile.Merge(dst, src)
func (m *Quantile) XXX_Merge(src proto.Message) {
xxx_messageInfo_Quantile.Merge(m, src)
}
func (m *Quantile) XXX_Size() int {
return xxx_messageInfo_Quantile.Size(m)
@@ -244,16 +263,17 @@ func (m *Summary) Reset() { *m = Summary{} }
func (m *Summary) String() string { return proto.CompactTextString(m) }
func (*Summary) ProtoMessage() {}
func (*Summary) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{4}
return fileDescriptor_6039342a2ba47b72, []int{4}
}
func (m *Summary) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Summary.Unmarshal(m, b)
}
func (m *Summary) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Summary.Marshal(b, m, deterministic)
}
func (dst *Summary) XXX_Merge(src proto.Message) {
xxx_messageInfo_Summary.Merge(dst, src)
func (m *Summary) XXX_Merge(src proto.Message) {
xxx_messageInfo_Summary.Merge(m, src)
}
func (m *Summary) XXX_Size() int {
return xxx_messageInfo_Summary.Size(m)
@@ -296,16 +316,17 @@ func (m *Untyped) Reset() { *m = Untyped{} }
func (m *Untyped) String() string { return proto.CompactTextString(m) }
func (*Untyped) ProtoMessage() {}
func (*Untyped) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{5}
return fileDescriptor_6039342a2ba47b72, []int{5}
}
func (m *Untyped) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Untyped.Unmarshal(m, b)
}
func (m *Untyped) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Untyped.Marshal(b, m, deterministic)
}
func (dst *Untyped) XXX_Merge(src proto.Message) {
xxx_messageInfo_Untyped.Merge(dst, src)
func (m *Untyped) XXX_Merge(src proto.Message) {
xxx_messageInfo_Untyped.Merge(m, src)
}
func (m *Untyped) XXX_Size() int {
return xxx_messageInfo_Untyped.Size(m)
@@ -336,16 +357,17 @@ func (m *Histogram) Reset() { *m = Histogram{} }
func (m *Histogram) String() string { return proto.CompactTextString(m) }
func (*Histogram) ProtoMessage() {}
func (*Histogram) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{6}
return fileDescriptor_6039342a2ba47b72, []int{6}
}
func (m *Histogram) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Histogram.Unmarshal(m, b)
}
func (m *Histogram) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Histogram.Marshal(b, m, deterministic)
}
func (dst *Histogram) XXX_Merge(src proto.Message) {
xxx_messageInfo_Histogram.Merge(dst, src)
func (m *Histogram) XXX_Merge(src proto.Message) {
xxx_messageInfo_Histogram.Merge(m, src)
}
func (m *Histogram) XXX_Size() int {
return xxx_messageInfo_Histogram.Size(m)
@@ -378,27 +400,29 @@ func (m *Histogram) GetBucket() []*Bucket {
}
type Bucket struct {
CumulativeCount *uint64 `protobuf:"varint,1,opt,name=cumulative_count,json=cumulativeCount" json:"cumulative_count,omitempty"`
UpperBound *float64 `protobuf:"fixed64,2,opt,name=upper_bound,json=upperBound" json:"upper_bound,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
CumulativeCount *uint64 `protobuf:"varint,1,opt,name=cumulative_count,json=cumulativeCount" json:"cumulative_count,omitempty"`
UpperBound *float64 `protobuf:"fixed64,2,opt,name=upper_bound,json=upperBound" json:"upper_bound,omitempty"`
Exemplar *Exemplar `protobuf:"bytes,3,opt,name=exemplar" json:"exemplar,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *Bucket) Reset() { *m = Bucket{} }
func (m *Bucket) String() string { return proto.CompactTextString(m) }
func (*Bucket) ProtoMessage() {}
func (*Bucket) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{7}
return fileDescriptor_6039342a2ba47b72, []int{7}
}
func (m *Bucket) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Bucket.Unmarshal(m, b)
}
func (m *Bucket) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Bucket.Marshal(b, m, deterministic)
}
func (dst *Bucket) XXX_Merge(src proto.Message) {
xxx_messageInfo_Bucket.Merge(dst, src)
func (m *Bucket) XXX_Merge(src proto.Message) {
xxx_messageInfo_Bucket.Merge(m, src)
}
func (m *Bucket) XXX_Size() int {
return xxx_messageInfo_Bucket.Size(m)
@@ -423,6 +447,68 @@ func (m *Bucket) GetUpperBound() float64 {
return 0
}
func (m *Bucket) GetExemplar() *Exemplar {
if m != nil {
return m.Exemplar
}
return nil
}
type Exemplar struct {
Label []*LabelPair `protobuf:"bytes,1,rep,name=label" json:"label,omitempty"`
Value *float64 `protobuf:"fixed64,2,opt,name=value" json:"value,omitempty"`
Timestamp *timestamp.Timestamp `protobuf:"bytes,3,opt,name=timestamp" json:"timestamp,omitempty"`
XXX_NoUnkeyedLiteral struct{} `json:"-"`
XXX_unrecognized []byte `json:"-"`
XXX_sizecache int32 `json:"-"`
}
func (m *Exemplar) Reset() { *m = Exemplar{} }
func (m *Exemplar) String() string { return proto.CompactTextString(m) }
func (*Exemplar) ProtoMessage() {}
func (*Exemplar) Descriptor() ([]byte, []int) {
return fileDescriptor_6039342a2ba47b72, []int{8}
}
func (m *Exemplar) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Exemplar.Unmarshal(m, b)
}
func (m *Exemplar) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Exemplar.Marshal(b, m, deterministic)
}
func (m *Exemplar) XXX_Merge(src proto.Message) {
xxx_messageInfo_Exemplar.Merge(m, src)
}
func (m *Exemplar) XXX_Size() int {
return xxx_messageInfo_Exemplar.Size(m)
}
func (m *Exemplar) XXX_DiscardUnknown() {
xxx_messageInfo_Exemplar.DiscardUnknown(m)
}
var xxx_messageInfo_Exemplar proto.InternalMessageInfo
func (m *Exemplar) GetLabel() []*LabelPair {
if m != nil {
return m.Label
}
return nil
}
func (m *Exemplar) GetValue() float64 {
if m != nil && m.Value != nil {
return *m.Value
}
return 0
}
func (m *Exemplar) GetTimestamp() *timestamp.Timestamp {
if m != nil {
return m.Timestamp
}
return nil
}
type Metric struct {
Label []*LabelPair `protobuf:"bytes,1,rep,name=label" json:"label,omitempty"`
Gauge *Gauge `protobuf:"bytes,2,opt,name=gauge" json:"gauge,omitempty"`
@@ -440,16 +526,17 @@ func (m *Metric) Reset() { *m = Metric{} }
func (m *Metric) String() string { return proto.CompactTextString(m) }
func (*Metric) ProtoMessage() {}
func (*Metric) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{8}
return fileDescriptor_6039342a2ba47b72, []int{9}
}
func (m *Metric) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_Metric.Unmarshal(m, b)
}
func (m *Metric) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_Metric.Marshal(b, m, deterministic)
}
func (dst *Metric) XXX_Merge(src proto.Message) {
xxx_messageInfo_Metric.Merge(dst, src)
func (m *Metric) XXX_Merge(src proto.Message) {
xxx_messageInfo_Metric.Merge(m, src)
}
func (m *Metric) XXX_Size() int {
return xxx_messageInfo_Metric.Size(m)
@@ -523,16 +610,17 @@ func (m *MetricFamily) Reset() { *m = MetricFamily{} }
func (m *MetricFamily) String() string { return proto.CompactTextString(m) }
func (*MetricFamily) ProtoMessage() {}
func (*MetricFamily) Descriptor() ([]byte, []int) {
return fileDescriptor_metrics_c97c9a2b9560cb8f, []int{9}
return fileDescriptor_6039342a2ba47b72, []int{10}
}
func (m *MetricFamily) XXX_Unmarshal(b []byte) error {
return xxx_messageInfo_MetricFamily.Unmarshal(m, b)
}
func (m *MetricFamily) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
return xxx_messageInfo_MetricFamily.Marshal(b, m, deterministic)
}
func (dst *MetricFamily) XXX_Merge(src proto.Message) {
xxx_messageInfo_MetricFamily.Merge(dst, src)
func (m *MetricFamily) XXX_Merge(src proto.Message) {
xxx_messageInfo_MetricFamily.Merge(m, src)
}
func (m *MetricFamily) XXX_Size() int {
return xxx_messageInfo_MetricFamily.Size(m)
@@ -572,6 +660,7 @@ func (m *MetricFamily) GetMetric() []*Metric {
}
func init() {
proto.RegisterEnum("io.prometheus.client.MetricType", MetricType_name, MetricType_value)
proto.RegisterType((*LabelPair)(nil), "io.prometheus.client.LabelPair")
proto.RegisterType((*Gauge)(nil), "io.prometheus.client.Gauge")
proto.RegisterType((*Counter)(nil), "io.prometheus.client.Counter")
@@ -580,50 +669,55 @@ func init() {
proto.RegisterType((*Untyped)(nil), "io.prometheus.client.Untyped")
proto.RegisterType((*Histogram)(nil), "io.prometheus.client.Histogram")
proto.RegisterType((*Bucket)(nil), "io.prometheus.client.Bucket")
proto.RegisterType((*Exemplar)(nil), "io.prometheus.client.Exemplar")
proto.RegisterType((*Metric)(nil), "io.prometheus.client.Metric")
proto.RegisterType((*MetricFamily)(nil), "io.prometheus.client.MetricFamily")
proto.RegisterEnum("io.prometheus.client.MetricType", MetricType_name, MetricType_value)
}
func init() { proto.RegisterFile("metrics.proto", fileDescriptor_metrics_c97c9a2b9560cb8f) }
func init() { proto.RegisterFile("metrics.proto", fileDescriptor_6039342a2ba47b72) }
var fileDescriptor_metrics_c97c9a2b9560cb8f = []byte{
// 591 bytes of a gzipped FileDescriptorProto
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var fileDescriptor_6039342a2ba47b72 = []byte{
// 665 bytes of a gzipped FileDescriptorProto
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}

17
vendor/golang.org/x/crypto/ssh/terminal/terminal.go generated vendored
View File

@@ -7,6 +7,7 @@ package terminal
import (
"bytes"
"io"
"runtime"
"strconv"
"sync"
"unicode/utf8"
@@ -939,6 +940,8 @@ func (s *stRingBuffer) NthPreviousEntry(n int) (value string, ok bool) {
// readPasswordLine reads from reader until it finds \n or io.EOF.
// The slice returned does not include the \n.
// readPasswordLine also ignores any \r it finds.
// Windows uses \r as end of line. So, on Windows, readPasswordLine
// reads until it finds \r and ignores any \n it finds during processing.
func readPasswordLine(reader io.Reader) ([]byte, error) {
var buf [1]byte
var ret []byte
@@ -947,10 +950,20 @@ func readPasswordLine(reader io.Reader) ([]byte, error) {
n, err := reader.Read(buf[:])
if n > 0 {
switch buf[0] {
case '\b':
if len(ret) > 0 {
ret = ret[:len(ret)-1]
}
case '\n':
return ret, nil
if runtime.GOOS != "windows" {
return ret, nil
}
// otherwise ignore \n
case '\r':
// remove \r from passwords on Windows
if runtime.GOOS == "windows" {
return ret, nil
}
// otherwise ignore \r
default:
ret = append(ret, buf[0])
}

4
vendor/golang.org/x/crypto/ssh/terminal/util_windows.go generated vendored
View File

@@ -85,8 +85,8 @@ func ReadPassword(fd int) ([]byte, error) {
}
old := st
st &^= (windows.ENABLE_ECHO_INPUT)
st |= (windows.ENABLE_PROCESSED_INPUT | windows.ENABLE_LINE_INPUT | windows.ENABLE_PROCESSED_OUTPUT)
st &^= (windows.ENABLE_ECHO_INPUT | windows.ENABLE_LINE_INPUT)
st |= (windows.ENABLE_PROCESSED_OUTPUT | windows.ENABLE_PROCESSED_INPUT)
if err := windows.SetConsoleMode(windows.Handle(fd), st); err != nil {
return nil, err
}

89
vendor/gonum.org/v1/gonum/AUTHORS generated vendored
View File

@@ -1,89 +0,0 @@
# This is the official list of gonum authors for copyright purposes.
# This file is distinct from the CONTRIBUTORS files.
# See the latter for an explanation.
# Names should be added to this file as
# Name or Organization <email address>
# The email address is not required for organizations.
# Please keep the list sorted.
Alexander Egurnov <alexander.egurnov@gmail.com>
Bill Gray <wgray@gogray.com>
Bill Noon <noon.bill@gmail.com>
Brendan Tracey <tracey.brendan@gmail.com>
Brent Pedersen <bpederse@gmail.com>
Chad Kunde <kunde21@gmail.com>
Chih-Wei Chang <bert.cwchang@gmail.com>
Chris Tessum <ctessum@gmail.com>
Christophe Meessen <christophe.meessen@gmail.com>
Clayton Northey <clayton.northey@gmail.com>
Dan Kortschak <dan.kortschak@adelaide.edu.au> <dan@kortschak.io>
Daniel Fireman <danielfireman@gmail.com>
David Samborski <bloggingarrow@gmail.com>
Davor Kapsa <davor.kapsa@gmail.com>
DeepMind Technologies
Dezmond Goff <goff.dezmond@gmail.com>
Egon Elbre <egonelbre@gmail.com>
Ekaterina Efimova <katerina.efimova@gmail.com>
Ethan Burns <burns.ethan@gmail.com>
Evert Lammerts <evert.lammerts@gmail.com>
Facundo Gaich <facugaich@gmail.com>
Fazlul Shahriar <fshahriar@gmail.com>
Francesc Campoy <campoy@golang.org>
Google Inc
Gustaf Johansson <gustaf@pinon.se>
Iakov Davydov <iakov.davydov@unil.ch>
Igor Mikushkin <igor.mikushkin@gmail.com>
Iskander Sharipov <quasilyte@gmail.com>
Jalem Raj Rohit <jrajrohit33@gmail.com>
James Bell <james@stellentus.com>
James Bowman <james.edward.bowman@gmail.com>
James Holmes <32bitkid@gmail.com>
Janne Snabb <snabb@epipe.com>
Jeff Juozapaitis <jjjuozap@email.arizona.edu>
Jeremy Atkinson <jchatkinson@gmail.com>
Jonas Kahler <jonas@derkahler.de>
Jonas Schulze <jonas.schulze@ovgu.de>
Jonathan J Lawlor <jonathan.lawlor@gmail.com>
Jonathan Schroeder <jd.schroeder@gmail.com>
Joseph Watson <jtwatson@linux-consulting.us>
Josh Wilson <josh.craig.wilson@gmail.com>
Julien Roland <juroland@gmail.com>
Kai Trukenmüller <ktye78@gmail.com>
Kent English <kent.english@gmail.com>
Kevin C. Zimmerman <kevinczimmerman@gmail.com>
Kirill Motkov <motkov.kirill@gmail.com>
Konstantin Shaposhnikov <k.shaposhnikov@gmail.com>
Leonid Kneller <recondite.matter@gmail.com>
Lyron Winderbaum <lyron.winderbaum@student.adelaide.edu.au>
Martin Diz <github@martindiz.com.ar>
Matthieu Di Mercurio <matthieu.dimercurio@gmail.com>
Max Halford <maxhalford25@gmail.com>
MinJae Kwon <k239507@gmail.com>
Nick Potts <nick@the-potts.com>
Olivier Wulveryck <olivier.wulveryck@gmail.com>
Or Rikon <rikonor@gmail.com>
Pontus Melke <pontusmelke@gmail.com>
Renée French
Rishi Desai <desai.rishi1@gmail.com>
Robin Eklind <r.eklind.87@gmail.com>
Sam Zaydel <szaydel@gmail.com>
Samuel Kelemen <Samuel@Kelemen.us>
Saran Ahluwalia <ahlusar.ahluwalia@gmail.com>
Scott Holden <scott@sshconnection.com>
Sebastien Binet <seb.binet@gmail.com>
Shawn Smith <shawnpsmith@gmail.com>
source{d} <hello@sourced.tech>
Spencer Lyon <spencerlyon2@gmail.com>
Steve McCoy <mccoyst@gmail.com>
Taesu Pyo <pyotaesu@gmail.com>
Takeshi Yoneda <cz.rk.t0415y.g@gmail.com>
The University of Adelaide
The University of Minnesota
The University of Washington
Thomas Berg <tomfuture@gmail.com>
Tobin Harding <me@tobin.cc>
Vincent Thiery <vjmthiery@gmail.com>
Vladimír Chalupecký <vladimir.chalupecky@gmail.com>
Yevgeniy Vahlis <evahlis@gmail.com>

91
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# This is the official list of people who can contribute
# (and typically have contributed) code to the gonum
# repository.
#
# The AUTHORS file lists the copyright holders; this file
# lists people. For example, Google employees would be listed here
# but not in AUTHORS, because Google would hold the copyright.
#
# When adding J Random Contributor's name to this file,
# either J's name or J's organization's name should be
# added to the AUTHORS file.
#
# Names should be added to this file like so:
# Name <email address>
#
# Please keep the list sorted.
Alexander Egurnov <alexander.egurnov@gmail.com>
Andrew Brampton <brampton@gmail.com>
Bill Gray <wgray@gogray.com>
Bill Noon <noon.bill@gmail.com>
Brendan Tracey <tracey.brendan@gmail.com>
Brent Pedersen <bpederse@gmail.com>
Chad Kunde <kunde21@gmail.com>
Chih-Wei Chang <bert.cwchang@gmail.com>
Chris Tessum <ctessum@gmail.com>
Christophe Meessen <christophe.meessen@gmail.com>
Clayton Northey <clayton.northey@gmail.com>
Dan Kortschak <dan.kortschak@adelaide.edu.au> <dan@kortschak.io>
Daniel Fireman <danielfireman@gmail.com>
David Samborski <bloggingarrow@gmail.com>
Davor Kapsa <davor.kapsa@gmail.com>
Dezmond Goff <goff.dezmond@gmail.com>
Egon Elbre <egonelbre@gmail.com>
Ekaterina Efimova <katerina.efimova@gmail.com>
Ethan Burns <burns.ethan@gmail.com>
Evert Lammerts <evert.lammerts@gmail.com>
Facundo Gaich <facugaich@gmail.com>
Fazlul Shahriar <fshahriar@gmail.com>
Francesc Campoy <campoy@golang.org>
Gustaf Johansson <gustaf@pinon.se>
Iakov Davydov <iakov.davydov@unil.ch>
Igor Mikushkin <igor.mikushkin@gmail.com>
Iskander Sharipov <quasilyte@gmail.com>
Jalem Raj Rohit <jrajrohit33@gmail.com>
James Bell <james@stellentus.com>
James Bowman <james.edward.bowman@gmail.com>
James Holmes <32bitkid@gmail.com>
Janne Snabb <snabb@epipe.com>
Jeff Juozapaitis <jjjuozap@email.arizona.edu>
Jeremy Atkinson <jchatkinson@gmail.com>
Jonas Kahler <jonas@derkahler.de>
Jonas Schulze <jonas.schulze@ovgu.de>
Jonathan J Lawlor <jonathan.lawlor@gmail.com>
Jonathan Schroeder <jd.schroeder@gmail.com>
Joseph Watson <jtwatson@linux-consulting.us>
Josh Wilson <josh.craig.wilson@gmail.com>
Julien Roland <juroland@gmail.com>
Kai Trukenmüller <ktye78@gmail.com>
Kent English <kent.english@gmail.com>
Kevin C. Zimmerman <kevinczimmerman@gmail.com>
Kirill Motkov <motkov.kirill@gmail.com>
Konstantin Shaposhnikov <k.shaposhnikov@gmail.com>
Leonid Kneller <recondite.matter@gmail.com>
Lyron Winderbaum <lyron.winderbaum@student.adelaide.edu.au>
Martin Diz <github@martindiz.com.ar>
Matthieu Di Mercurio <matthieu.dimercurio@gmail.com>
Max Halford <maxhalford25@gmail.com>
MinJae Kwon <k239507@gmail.com>
Nick Potts <nick@the-potts.com>
Olivier Wulveryck <olivier.wulveryck@gmail.com>
Or Rikon <rikonor@gmail.com>
Pontus Melke <pontusmelke@gmail.com>
Renée French
Rishi Desai <desai.rishi1@gmail.com>
Robin Eklind <r.eklind.87@gmail.com>
Sam Zaydel <szaydel@gmail.com>
Samuel Kelemen <Samuel@Kelemen.us>
Saran Ahluwalia <ahlusar.ahluwalia@gmail.com>
Scott Holden <scott@sshconnection.com>
Sebastien Binet <seb.binet@gmail.com>
Shawn Smith <shawnpsmith@gmail.com>
Spencer Lyon <spencerlyon2@gmail.com>
Steve McCoy <mccoyst@gmail.com>
Taesu Pyo <pyotaesu@gmail.com>
Takeshi Yoneda <cz.rk.t0415y.g@gmail.com>
Thomas Berg <tomfuture@gmail.com>
Tobin Harding <me@tobin.cc>
Vincent Thiery <vjmthiery@gmail.com>
Vladimír Chalupecký <vladimir.chalupecky@gmail.com>
Yevgeniy Vahlis <evahlis@gmail.com>

23
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Copyright ©2013 The Gonum Authors. All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the gonum project nor the names of its authors and
contributors may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

47
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# Gonum BLAS [![GoDoc](https://godoc.org/gonum.org/v1/gonum/blas?status.svg)](https://godoc.org/gonum.org/v1/gonum/blas)
A collection of packages to provide BLAS functionality for the [Go programming
language](http://golang.org)
## Installation
```sh
go get gonum.org/v1/gonum/blas/...
```
## Packages
### blas
Defines [BLAS API](http://www.netlib.org/blas/blast-forum/cinterface.pdf) split in several
interfaces.
### blas/gonum
Go implementation of the BLAS API (incomplete, implements the `float32` and `float64` API).
### blas/blas64 and blas/blas32
Wrappers for an implementation of the double (i.e., `float64`) and single (`float32`)
precision real parts of the BLAS API.
```Go
package main
import (
"fmt"
"gonum.org/v1/gonum/blas/blas64"
)
func main() {
v := blas64.Vector{Inc: 1, Data: []float64{1, 1, 1}}
fmt.Println("v has length:", blas64.Nrm2(len(v.Data), v))
}
```
### blas/cblas128 and blas/cblas64
Wrappers for an implementation of the double (i.e., `complex128`) and single (`complex64`)
precision complex parts of the blas API.
Currently blas/cblas64 and blas/cblas128 require gonum.org/v1/netlib/blas.

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// Copyright ©2013 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
//go:generate ./conversions.bash
package blas
// Flag constants indicate Givens transformation H matrix state.
type Flag int
const (
Identity Flag = -2 // H is the identity matrix; no rotation is needed.
Rescaling Flag = -1 // H specifies rescaling.
OffDiagonal Flag = 0 // Off-diagonal elements of H are non-unit.
Diagonal Flag = 1 // Diagonal elements of H are non-unit.
)
// SrotmParams contains Givens transformation parameters returned
// by the Float32 Srotm method.
type SrotmParams struct {
Flag
H [4]float32 // Column-major 2 by 2 matrix.
}
// DrotmParams contains Givens transformation parameters returned
// by the Float64 Drotm method.
type DrotmParams struct {
Flag
H [4]float64 // Column-major 2 by 2 matrix.
}
// Transpose specifies the transposition operation of a matrix.
type Transpose byte
const (
NoTrans Transpose = 'N'
Trans Transpose = 'T'
ConjTrans Transpose = 'C'
)
// Uplo specifies whether a matrix is upper or lower triangular.
type Uplo byte
const (
Upper Uplo = 'U'
Lower Uplo = 'L'
All Uplo = 'A'
)
// Diag specifies whether a matrix is unit triangular.
type Diag byte
const (
NonUnit Diag = 'N'
Unit Diag = 'U'
)
// Side specifies from which side a multiplication operation is performed.
type Side byte
const (
Left Side = 'L'
Right Side = 'R'
)
// Float32 implements the single precision real BLAS routines.
type Float32 interface {
Float32Level1
Float32Level2
Float32Level3
}
// Float32Level1 implements the single precision real BLAS Level 1 routines.
type Float32Level1 interface {
Sdsdot(n int, alpha float32, x []float32, incX int, y []float32, incY int) float32
Dsdot(n int, x []float32, incX int, y []float32, incY int) float64
Sdot(n int, x []float32, incX int, y []float32, incY int) float32
Snrm2(n int, x []float32, incX int) float32
Sasum(n int, x []float32, incX int) float32
Isamax(n int, x []float32, incX int) int
Sswap(n int, x []float32, incX int, y []float32, incY int)
Scopy(n int, x []float32, incX int, y []float32, incY int)
Saxpy(n int, alpha float32, x []float32, incX int, y []float32, incY int)
Srotg(a, b float32) (c, s, r, z float32)
Srotmg(d1, d2, b1, b2 float32) (p SrotmParams, rd1, rd2, rb1 float32)
Srot(n int, x []float32, incX int, y []float32, incY int, c, s float32)
Srotm(n int, x []float32, incX int, y []float32, incY int, p SrotmParams)
Sscal(n int, alpha float32, x []float32, incX int)
}
// Float32Level2 implements the single precision real BLAS Level 2 routines.
type Float32Level2 interface {
Sgemv(tA Transpose, m, n int, alpha float32, a []float32, lda int, x []float32, incX int, beta float32, y []float32, incY int)
Sgbmv(tA Transpose, m, n, kL, kU int, alpha float32, a []float32, lda int, x []float32, incX int, beta float32, y []float32, incY int)
Strmv(ul Uplo, tA Transpose, d Diag, n int, a []float32, lda int, x []float32, incX int)
Stbmv(ul Uplo, tA Transpose, d Diag, n, k int, a []float32, lda int, x []float32, incX int)
Stpmv(ul Uplo, tA Transpose, d Diag, n int, ap []float32, x []float32, incX int)
Strsv(ul Uplo, tA Transpose, d Diag, n int, a []float32, lda int, x []float32, incX int)
Stbsv(ul Uplo, tA Transpose, d Diag, n, k int, a []float32, lda int, x []float32, incX int)
Stpsv(ul Uplo, tA Transpose, d Diag, n int, ap []float32, x []float32, incX int)
Ssymv(ul Uplo, n int, alpha float32, a []float32, lda int, x []float32, incX int, beta float32, y []float32, incY int)
Ssbmv(ul Uplo, n, k int, alpha float32, a []float32, lda int, x []float32, incX int, beta float32, y []float32, incY int)
Sspmv(ul Uplo, n int, alpha float32, ap []float32, x []float32, incX int, beta float32, y []float32, incY int)
Sger(m, n int, alpha float32, x []float32, incX int, y []float32, incY int, a []float32, lda int)
Ssyr(ul Uplo, n int, alpha float32, x []float32, incX int, a []float32, lda int)
Sspr(ul Uplo, n int, alpha float32, x []float32, incX int, ap []float32)
Ssyr2(ul Uplo, n int, alpha float32, x []float32, incX int, y []float32, incY int, a []float32, lda int)
Sspr2(ul Uplo, n int, alpha float32, x []float32, incX int, y []float32, incY int, a []float32)
}
// Float32Level3 implements the single precision real BLAS Level 3 routines.
type Float32Level3 interface {
Sgemm(tA, tB Transpose, m, n, k int, alpha float32, a []float32, lda int, b []float32, ldb int, beta float32, c []float32, ldc int)
Ssymm(s Side, ul Uplo, m, n int, alpha float32, a []float32, lda int, b []float32, ldb int, beta float32, c []float32, ldc int)
Ssyrk(ul Uplo, t Transpose, n, k int, alpha float32, a []float32, lda int, beta float32, c []float32, ldc int)
Ssyr2k(ul Uplo, t Transpose, n, k int, alpha float32, a []float32, lda int, b []float32, ldb int, beta float32, c []float32, ldc int)
Strmm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha float32, a []float32, lda int, b []float32, ldb int)
Strsm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha float32, a []float32, lda int, b []float32, ldb int)
}
// Float64 implements the single precision real BLAS routines.
type Float64 interface {
Float64Level1
Float64Level2
Float64Level3
}
// Float64Level1 implements the double precision real BLAS Level 1 routines.
type Float64Level1 interface {
Ddot(n int, x []float64, incX int, y []float64, incY int) float64
Dnrm2(n int, x []float64, incX int) float64
Dasum(n int, x []float64, incX int) float64
Idamax(n int, x []float64, incX int) int
Dswap(n int, x []float64, incX int, y []float64, incY int)
Dcopy(n int, x []float64, incX int, y []float64, incY int)
Daxpy(n int, alpha float64, x []float64, incX int, y []float64, incY int)
Drotg(a, b float64) (c, s, r, z float64)
Drotmg(d1, d2, b1, b2 float64) (p DrotmParams, rd1, rd2, rb1 float64)
Drot(n int, x []float64, incX int, y []float64, incY int, c float64, s float64)
Drotm(n int, x []float64, incX int, y []float64, incY int, p DrotmParams)
Dscal(n int, alpha float64, x []float64, incX int)
}
// Float64Level2 implements the double precision real BLAS Level 2 routines.
type Float64Level2 interface {
Dgemv(tA Transpose, m, n int, alpha float64, a []float64, lda int, x []float64, incX int, beta float64, y []float64, incY int)
Dgbmv(tA Transpose, m, n, kL, kU int, alpha float64, a []float64, lda int, x []float64, incX int, beta float64, y []float64, incY int)
Dtrmv(ul Uplo, tA Transpose, d Diag, n int, a []float64, lda int, x []float64, incX int)
Dtbmv(ul Uplo, tA Transpose, d Diag, n, k int, a []float64, lda int, x []float64, incX int)
Dtpmv(ul Uplo, tA Transpose, d Diag, n int, ap []float64, x []float64, incX int)
Dtrsv(ul Uplo, tA Transpose, d Diag, n int, a []float64, lda int, x []float64, incX int)
Dtbsv(ul Uplo, tA Transpose, d Diag, n, k int, a []float64, lda int, x []float64, incX int)
Dtpsv(ul Uplo, tA Transpose, d Diag, n int, ap []float64, x []float64, incX int)
Dsymv(ul Uplo, n int, alpha float64, a []float64, lda int, x []float64, incX int, beta float64, y []float64, incY int)
Dsbmv(ul Uplo, n, k int, alpha float64, a []float64, lda int, x []float64, incX int, beta float64, y []float64, incY int)
Dspmv(ul Uplo, n int, alpha float64, ap []float64, x []float64, incX int, beta float64, y []float64, incY int)
Dger(m, n int, alpha float64, x []float64, incX int, y []float64, incY int, a []float64, lda int)
Dsyr(ul Uplo, n int, alpha float64, x []float64, incX int, a []float64, lda int)
Dspr(ul Uplo, n int, alpha float64, x []float64, incX int, ap []float64)
Dsyr2(ul Uplo, n int, alpha float64, x []float64, incX int, y []float64, incY int, a []float64, lda int)
Dspr2(ul Uplo, n int, alpha float64, x []float64, incX int, y []float64, incY int, a []float64)
}
// Float64Level3 implements the double precision real BLAS Level 3 routines.
type Float64Level3 interface {
Dgemm(tA, tB Transpose, m, n, k int, alpha float64, a []float64, lda int, b []float64, ldb int, beta float64, c []float64, ldc int)
Dsymm(s Side, ul Uplo, m, n int, alpha float64, a []float64, lda int, b []float64, ldb int, beta float64, c []float64, ldc int)
Dsyrk(ul Uplo, t Transpose, n, k int, alpha float64, a []float64, lda int, beta float64, c []float64, ldc int)
Dsyr2k(ul Uplo, t Transpose, n, k int, alpha float64, a []float64, lda int, b []float64, ldb int, beta float64, c []float64, ldc int)
Dtrmm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha float64, a []float64, lda int, b []float64, ldb int)
Dtrsm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha float64, a []float64, lda int, b []float64, ldb int)
}
// Complex64 implements the single precision complex BLAS routines.
type Complex64 interface {
Complex64Level1
Complex64Level2
Complex64Level3
}
// Complex64Level1 implements the single precision complex BLAS Level 1 routines.
type Complex64Level1 interface {
Cdotu(n int, x []complex64, incX int, y []complex64, incY int) (dotu complex64)
Cdotc(n int, x []complex64, incX int, y []complex64, incY int) (dotc complex64)
Scnrm2(n int, x []complex64, incX int) float32
Scasum(n int, x []complex64, incX int) float32
Icamax(n int, x []complex64, incX int) int
Cswap(n int, x []complex64, incX int, y []complex64, incY int)
Ccopy(n int, x []complex64, incX int, y []complex64, incY int)
Caxpy(n int, alpha complex64, x []complex64, incX int, y []complex64, incY int)
Cscal(n int, alpha complex64, x []complex64, incX int)
Csscal(n int, alpha float32, x []complex64, incX int)
}
// Complex64Level2 implements the single precision complex BLAS routines Level 2 routines.
type Complex64Level2 interface {
Cgemv(tA Transpose, m, n int, alpha complex64, a []complex64, lda int, x []complex64, incX int, beta complex64, y []complex64, incY int)
Cgbmv(tA Transpose, m, n, kL, kU int, alpha complex64, a []complex64, lda int, x []complex64, incX int, beta complex64, y []complex64, incY int)
Ctrmv(ul Uplo, tA Transpose, d Diag, n int, a []complex64, lda int, x []complex64, incX int)
Ctbmv(ul Uplo, tA Transpose, d Diag, n, k int, a []complex64, lda int, x []complex64, incX int)
Ctpmv(ul Uplo, tA Transpose, d Diag, n int, ap []complex64, x []complex64, incX int)
Ctrsv(ul Uplo, tA Transpose, d Diag, n int, a []complex64, lda int, x []complex64, incX int)
Ctbsv(ul Uplo, tA Transpose, d Diag, n, k int, a []complex64, lda int, x []complex64, incX int)
Ctpsv(ul Uplo, tA Transpose, d Diag, n int, ap []complex64, x []complex64, incX int)
Chemv(ul Uplo, n int, alpha complex64, a []complex64, lda int, x []complex64, incX int, beta complex64, y []complex64, incY int)
Chbmv(ul Uplo, n, k int, alpha complex64, a []complex64, lda int, x []complex64, incX int, beta complex64, y []complex64, incY int)
Chpmv(ul Uplo, n int, alpha complex64, ap []complex64, x []complex64, incX int, beta complex64, y []complex64, incY int)
Cgeru(m, n int, alpha complex64, x []complex64, incX int, y []complex64, incY int, a []complex64, lda int)
Cgerc(m, n int, alpha complex64, x []complex64, incX int, y []complex64, incY int, a []complex64, lda int)
Cher(ul Uplo, n int, alpha float32, x []complex64, incX int, a []complex64, lda int)
Chpr(ul Uplo, n int, alpha float32, x []complex64, incX int, a []complex64)
Cher2(ul Uplo, n int, alpha complex64, x []complex64, incX int, y []complex64, incY int, a []complex64, lda int)
Chpr2(ul Uplo, n int, alpha complex64, x []complex64, incX int, y []complex64, incY int, ap []complex64)
}
// Complex64Level3 implements the single precision complex BLAS Level 3 routines.
type Complex64Level3 interface {
Cgemm(tA, tB Transpose, m, n, k int, alpha complex64, a []complex64, lda int, b []complex64, ldb int, beta complex64, c []complex64, ldc int)
Csymm(s Side, ul Uplo, m, n int, alpha complex64, a []complex64, lda int, b []complex64, ldb int, beta complex64, c []complex64, ldc int)
Csyrk(ul Uplo, t Transpose, n, k int, alpha complex64, a []complex64, lda int, beta complex64, c []complex64, ldc int)
Csyr2k(ul Uplo, t Transpose, n, k int, alpha complex64, a []complex64, lda int, b []complex64, ldb int, beta complex64, c []complex64, ldc int)
Ctrmm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha complex64, a []complex64, lda int, b []complex64, ldb int)
Ctrsm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha complex64, a []complex64, lda int, b []complex64, ldb int)
Chemm(s Side, ul Uplo, m, n int, alpha complex64, a []complex64, lda int, b []complex64, ldb int, beta complex64, c []complex64, ldc int)
Cherk(ul Uplo, t Transpose, n, k int, alpha float32, a []complex64, lda int, beta float32, c []complex64, ldc int)
Cher2k(ul Uplo, t Transpose, n, k int, alpha complex64, a []complex64, lda int, b []complex64, ldb int, beta float32, c []complex64, ldc int)
}
// Complex128 implements the double precision complex BLAS routines.
type Complex128 interface {
Complex128Level1
Complex128Level2
Complex128Level3
}
// Complex128Level1 implements the double precision complex BLAS Level 1 routines.
type Complex128Level1 interface {
Zdotu(n int, x []complex128, incX int, y []complex128, incY int) (dotu complex128)
Zdotc(n int, x []complex128, incX int, y []complex128, incY int) (dotc complex128)
Dznrm2(n int, x []complex128, incX int) float64
Dzasum(n int, x []complex128, incX int) float64
Izamax(n int, x []complex128, incX int) int
Zswap(n int, x []complex128, incX int, y []complex128, incY int)
Zcopy(n int, x []complex128, incX int, y []complex128, incY int)
Zaxpy(n int, alpha complex128, x []complex128, incX int, y []complex128, incY int)
Zscal(n int, alpha complex128, x []complex128, incX int)
Zdscal(n int, alpha float64, x []complex128, incX int)
}
// Complex128Level2 implements the double precision complex BLAS Level 2 routines.
type Complex128Level2 interface {
Zgemv(tA Transpose, m, n int, alpha complex128, a []complex128, lda int, x []complex128, incX int, beta complex128, y []complex128, incY int)
Zgbmv(tA Transpose, m, n int, kL int, kU int, alpha complex128, a []complex128, lda int, x []complex128, incX int, beta complex128, y []complex128, incY int)
Ztrmv(ul Uplo, tA Transpose, d Diag, n int, a []complex128, lda int, x []complex128, incX int)
Ztbmv(ul Uplo, tA Transpose, d Diag, n, k int, a []complex128, lda int, x []complex128, incX int)
Ztpmv(ul Uplo, tA Transpose, d Diag, n int, ap []complex128, x []complex128, incX int)
Ztrsv(ul Uplo, tA Transpose, d Diag, n int, a []complex128, lda int, x []complex128, incX int)
Ztbsv(ul Uplo, tA Transpose, d Diag, n, k int, a []complex128, lda int, x []complex128, incX int)
Ztpsv(ul Uplo, tA Transpose, d Diag, n int, ap []complex128, x []complex128, incX int)
Zhemv(ul Uplo, n int, alpha complex128, a []complex128, lda int, x []complex128, incX int, beta complex128, y []complex128, incY int)
Zhbmv(ul Uplo, n, k int, alpha complex128, a []complex128, lda int, x []complex128, incX int, beta complex128, y []complex128, incY int)
Zhpmv(ul Uplo, n int, alpha complex128, ap []complex128, x []complex128, incX int, beta complex128, y []complex128, incY int)
Zgeru(m, n int, alpha complex128, x []complex128, incX int, y []complex128, incY int, a []complex128, lda int)
Zgerc(m, n int, alpha complex128, x []complex128, incX int, y []complex128, incY int, a []complex128, lda int)
Zher(ul Uplo, n int, alpha float64, x []complex128, incX int, a []complex128, lda int)
Zhpr(ul Uplo, n int, alpha float64, x []complex128, incX int, a []complex128)
Zher2(ul Uplo, n int, alpha complex128, x []complex128, incX int, y []complex128, incY int, a []complex128, lda int)
Zhpr2(ul Uplo, n int, alpha complex128, x []complex128, incX int, y []complex128, incY int, ap []complex128)
}
// Complex128Level3 implements the double precision complex BLAS Level 3 routines.
type Complex128Level3 interface {
Zgemm(tA, tB Transpose, m, n, k int, alpha complex128, a []complex128, lda int, b []complex128, ldb int, beta complex128, c []complex128, ldc int)
Zsymm(s Side, ul Uplo, m, n int, alpha complex128, a []complex128, lda int, b []complex128, ldb int, beta complex128, c []complex128, ldc int)
Zsyrk(ul Uplo, t Transpose, n, k int, alpha complex128, a []complex128, lda int, beta complex128, c []complex128, ldc int)
Zsyr2k(ul Uplo, t Transpose, n, k int, alpha complex128, a []complex128, lda int, b []complex128, ldb int, beta complex128, c []complex128, ldc int)
Ztrmm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha complex128, a []complex128, lda int, b []complex128, ldb int)
Ztrsm(s Side, ul Uplo, tA Transpose, d Diag, m, n int, alpha complex128, a []complex128, lda int, b []complex128, ldb int)
Zhemm(s Side, ul Uplo, m, n int, alpha complex128, a []complex128, lda int, b []complex128, ldb int, beta complex128, c []complex128, ldc int)
Zherk(ul Uplo, t Transpose, n, k int, alpha float64, a []complex128, lda int, beta float64, c []complex128, ldc int)
Zher2k(ul Uplo, t Transpose, n, k int, alpha complex128, a []complex128, lda int, b []complex128, ldb int, beta float64, c []complex128, ldc int)
}

469
vendor/gonum.org/v1/gonum/blas/blas64/blas64.go generated vendored
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@@ -1,469 +0,0 @@
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package blas64
import (
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/blas/gonum"
)
var blas64 blas.Float64 = gonum.Implementation{}
// Use sets the BLAS float64 implementation to be used by subsequent BLAS calls.
// The default implementation is
// gonum.org/v1/gonum/blas/gonum.Implementation.
func Use(b blas.Float64) {
blas64 = b
}
// Implementation returns the current BLAS float64 implementation.
//
// Implementation allows direct calls to the current the BLAS float64 implementation
// giving finer control of parameters.
func Implementation() blas.Float64 {
return blas64
}
// Vector represents a vector with an associated element increment.
type Vector struct {
N int
Data []float64
Inc int
}
// General represents a matrix using the conventional storage scheme.
type General struct {
Rows, Cols int
Data []float64
Stride int
}
// Band represents a band matrix using the band storage scheme.
type Band struct {
Rows, Cols int
KL, KU int
Data []float64
Stride int
}
// Triangular represents a triangular matrix using the conventional storage scheme.
type Triangular struct {
Uplo blas.Uplo
Diag blas.Diag
N int
Data []float64
Stride int
}
// TriangularBand represents a triangular matrix using the band storage scheme.
type TriangularBand struct {
Uplo blas.Uplo
Diag blas.Diag
N, K int
Data []float64
Stride int
}
// TriangularPacked represents a triangular matrix using the packed storage scheme.
type TriangularPacked struct {
Uplo blas.Uplo
Diag blas.Diag
N int
Data []float64
}
// Symmetric represents a symmetric matrix using the conventional storage scheme.
type Symmetric struct {
Uplo blas.Uplo
N int
Data []float64
Stride int
}
// SymmetricBand represents a symmetric matrix using the band storage scheme.
type SymmetricBand struct {
Uplo blas.Uplo
N, K int
Data []float64
Stride int
}
// SymmetricPacked represents a symmetric matrix using the packed storage scheme.
type SymmetricPacked struct {
Uplo blas.Uplo
N int
Data []float64
}
// Level 1
const (
negInc = "blas64: negative vector increment"
badLength = "blas64: vector length mismatch"
)
// Dot computes the dot product of the two vectors:
// \sum_i x[i]*y[i].
func Dot(x, y Vector) float64 {
if x.N != y.N {
panic(badLength)
}
return blas64.Ddot(x.N, x.Data, x.Inc, y.Data, y.Inc)
}
// Nrm2 computes the Euclidean norm of the vector x:
// sqrt(\sum_i x[i]*x[i]).
//
// Nrm2 will panic if the vector increment is negative.
func Nrm2(x Vector) float64 {
if x.Inc < 0 {
panic(negInc)
}
return blas64.Dnrm2(x.N, x.Data, x.Inc)
}
// Asum computes the sum of the absolute values of the elements of x:
// \sum_i |x[i]|.
//
// Asum will panic if the vector increment is negative.
func Asum(x Vector) float64 {
if x.Inc < 0 {
panic(negInc)
}
return blas64.Dasum(x.N, x.Data, x.Inc)
}
// Iamax returns the index of an element of x with the largest absolute value.
// If there are multiple such indices the earliest is returned.
// Iamax returns -1 if n == 0.
//
// Iamax will panic if the vector increment is negative.
func Iamax(x Vector) int {
if x.Inc < 0 {
panic(negInc)
}
return blas64.Idamax(x.N, x.Data, x.Inc)
}
// Swap exchanges the elements of the two vectors:
// x[i], y[i] = y[i], x[i] for all i.
func Swap(x, y Vector) {
if x.N != y.N {
panic(badLength)
}
blas64.Dswap(x.N, x.Data, x.Inc, y.Data, y.Inc)
}
// Copy copies the elements of x into the elements of y:
// y[i] = x[i] for all i.
// Copy requires that the lengths of x and y match and will panic otherwise.
func Copy(x, y Vector) {
if x.N != y.N {
panic(badLength)
}
blas64.Dcopy(x.N, x.Data, x.Inc, y.Data, y.Inc)
}
// Axpy adds x scaled by alpha to y:
// y[i] += alpha*x[i] for all i.
func Axpy(alpha float64, x, y Vector) {
if x.N != y.N {
panic(badLength)
}
blas64.Daxpy(x.N, alpha, x.Data, x.Inc, y.Data, y.Inc)
}
// Rotg computes the parameters of a Givens plane rotation so that
// ⎡ c s⎤ ⎡a⎤ ⎡r⎤
// ⎣-s c⎦ * ⎣b⎦ = ⎣0⎦
// where a and b are the Cartesian coordinates of a given point.
// c, s, and r are defined as
// r = ±Sqrt(a^2 + b^2),
// c = a/r, the cosine of the rotation angle,
// s = a/r, the sine of the rotation angle,
// and z is defined such that
// if |a| > |b|, z = s,
// otherwise if c != 0, z = 1/c,
// otherwise z = 1.
func Rotg(a, b float64) (c, s, r, z float64) {
return blas64.Drotg(a, b)
}
// Rotmg computes the modified Givens rotation. See
// http://www.netlib.org/lapack/explore-html/df/deb/drotmg_8f.html
// for more details.
func Rotmg(d1, d2, b1, b2 float64) (p blas.DrotmParams, rd1, rd2, rb1 float64) {
return blas64.Drotmg(d1, d2, b1, b2)
}
// Rot applies a plane transformation to n points represented by the vectors x
// and y:
// x[i] = c*x[i] + s*y[i],
// y[i] = -s*x[i] + c*y[i], for all i.
func Rot(x, y Vector, c, s float64) {
if x.N != y.N {
panic(badLength)
}
blas64.Drot(x.N, x.Data, x.Inc, y.Data, y.Inc, c, s)
}
// Rotm applies the modified Givens rotation to n points represented by the
// vectors x and y.
func Rotm(x, y Vector, p blas.DrotmParams) {
if x.N != y.N {
panic(badLength)
}
blas64.Drotm(x.N, x.Data, x.Inc, y.Data, y.Inc, p)
}
// Scal scales the vector x by alpha:
// x[i] *= alpha for all i.
//
// Scal will panic if the vector increment is negative.
func Scal(alpha float64, x Vector) {
if x.Inc < 0 {
panic(negInc)
}
blas64.Dscal(x.N, alpha, x.Data, x.Inc)
}
// Level 2
// Gemv computes
// y = alpha * A * x + beta * y, if t == blas.NoTrans,
// y = alpha * A^T * x + beta * y, if t == blas.Trans or blas.ConjTrans,
// where A is an m×n dense matrix, x and y are vectors, and alpha and beta are scalars.
func Gemv(t blas.Transpose, alpha float64, a General, x Vector, beta float64, y Vector) {
blas64.Dgemv(t, a.Rows, a.Cols, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Gbmv computes
// y = alpha * A * x + beta * y, if t == blas.NoTrans,
// y = alpha * A^T * x + beta * y, if t == blas.Trans or blas.ConjTrans,
// where A is an m×n band matrix, x and y are vectors, and alpha and beta are scalars.
func Gbmv(t blas.Transpose, alpha float64, a Band, x Vector, beta float64, y Vector) {
blas64.Dgbmv(t, a.Rows, a.Cols, a.KL, a.KU, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Trmv computes
// x = A * x, if t == blas.NoTrans,
// x = A^T * x, if t == blas.Trans or blas.ConjTrans,
// where A is an n×n triangular matrix, and x is a vector.
func Trmv(t blas.Transpose, a Triangular, x Vector) {
blas64.Dtrmv(a.Uplo, t, a.Diag, a.N, a.Data, a.Stride, x.Data, x.Inc)
}
// Tbmv computes
// x = A * x, if t == blas.NoTrans,
// x = A^T * x, if t == blas.Trans or blas.ConjTrans,
// where A is an n×n triangular band matrix, and x is a vector.
func Tbmv(t blas.Transpose, a TriangularBand, x Vector) {
blas64.Dtbmv(a.Uplo, t, a.Diag, a.N, a.K, a.Data, a.Stride, x.Data, x.Inc)
}
// Tpmv computes
// x = A * x, if t == blas.NoTrans,
// x = A^T * x, if t == blas.Trans or blas.ConjTrans,
// where A is an n×n triangular matrix in packed format, and x is a vector.
func Tpmv(t blas.Transpose, a TriangularPacked, x Vector) {
blas64.Dtpmv(a.Uplo, t, a.Diag, a.N, a.Data, x.Data, x.Inc)
}
// Trsv solves
// A * x = b, if t == blas.NoTrans,
// A^T * x = b, if t == blas.Trans or blas.ConjTrans,
// where A is an n×n triangular matrix, and x and b are vectors.
//
// At entry to the function, x contains the values of b, and the result is
// stored in-place into x.
//
// No test for singularity or near-singularity is included in this
// routine. Such tests must be performed before calling this routine.
func Trsv(t blas.Transpose, a Triangular, x Vector) {
blas64.Dtrsv(a.Uplo, t, a.Diag, a.N, a.Data, a.Stride, x.Data, x.Inc)
}
// Tbsv solves
// A * x = b, if t == blas.NoTrans,
// A^T * x = b, if t == blas.Trans or blas.ConjTrans,
// where A is an n×n triangular band matrix, and x and b are vectors.
//
// At entry to the function, x contains the values of b, and the result is
// stored in place into x.
//
// No test for singularity or near-singularity is included in this
// routine. Such tests must be performed before calling this routine.
func Tbsv(t blas.Transpose, a TriangularBand, x Vector) {
blas64.Dtbsv(a.Uplo, t, a.Diag, a.N, a.K, a.Data, a.Stride, x.Data, x.Inc)
}
// Tpsv solves
// A * x = b, if t == blas.NoTrans,
// A^T * x = b, if t == blas.Trans or blas.ConjTrans,
// where A is an n×n triangular matrix in packed format, and x and b are
// vectors.
//
// At entry to the function, x contains the values of b, and the result is
// stored in place into x.
//
// No test for singularity or near-singularity is included in this
// routine. Such tests must be performed before calling this routine.
func Tpsv(t blas.Transpose, a TriangularPacked, x Vector) {
blas64.Dtpsv(a.Uplo, t, a.Diag, a.N, a.Data, x.Data, x.Inc)
}
// Symv computes
// y = alpha * A * x + beta * y,
// where A is an n×n symmetric matrix, x and y are vectors, and alpha and
// beta are scalars.
func Symv(alpha float64, a Symmetric, x Vector, beta float64, y Vector) {
blas64.Dsymv(a.Uplo, a.N, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Sbmv performs
// y = alpha * A * x + beta * y,
// where A is an n×n symmetric band matrix, x and y are vectors, and alpha
// and beta are scalars.
func Sbmv(alpha float64, a SymmetricBand, x Vector, beta float64, y Vector) {
blas64.Dsbmv(a.Uplo, a.N, a.K, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Spmv performs
// y = alpha * A * x + beta * y,
// where A is an n×n symmetric matrix in packed format, x and y are vectors,
// and alpha and beta are scalars.
func Spmv(alpha float64, a SymmetricPacked, x Vector, beta float64, y Vector) {
blas64.Dspmv(a.Uplo, a.N, alpha, a.Data, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Ger performs a rank-1 update
// A += alpha * x * y^T,
// where A is an m×n dense matrix, x and y are vectors, and alpha is a scalar.
func Ger(alpha float64, x, y Vector, a General) {
blas64.Dger(a.Rows, a.Cols, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data, a.Stride)
}
// Syr performs a rank-1 update
// A += alpha * x * x^T,
// where A is an n×n symmetric matrix, x is a vector, and alpha is a scalar.
func Syr(alpha float64, x Vector, a Symmetric) {
blas64.Dsyr(a.Uplo, a.N, alpha, x.Data, x.Inc, a.Data, a.Stride)
}
// Spr performs the rank-1 update
// A += alpha * x * x^T,
// where A is an n×n symmetric matrix in packed format, x is a vector, and
// alpha is a scalar.
func Spr(alpha float64, x Vector, a SymmetricPacked) {
blas64.Dspr(a.Uplo, a.N, alpha, x.Data, x.Inc, a.Data)
}
// Syr2 performs a rank-2 update
// A += alpha * x * y^T + alpha * y * x^T,
// where A is a symmetric n×n matrix, x and y are vectors, and alpha is a scalar.
func Syr2(alpha float64, x, y Vector, a Symmetric) {
blas64.Dsyr2(a.Uplo, a.N, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data, a.Stride)
}
// Spr2 performs a rank-2 update
// A += alpha * x * y^T + alpha * y * x^T,
// where A is an n×n symmetric matrix in packed format, x and y are vectors,
// and alpha is a scalar.
func Spr2(alpha float64, x, y Vector, a SymmetricPacked) {
blas64.Dspr2(a.Uplo, a.N, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data)
}
// Level 3
// Gemm computes
// C = alpha * A * B + beta * C,
// where A, B, and C are dense matrices, and alpha and beta are scalars.
// tA and tB specify whether A or B are transposed.
func Gemm(tA, tB blas.Transpose, alpha float64, a, b General, beta float64, c General) {
var m, n, k int
if tA == blas.NoTrans {
m, k = a.Rows, a.Cols
} else {
m, k = a.Cols, a.Rows
}
if tB == blas.NoTrans {
n = b.Cols
} else {
n = b.Rows
}
blas64.Dgemm(tA, tB, m, n, k, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}
// Symm performs
// C = alpha * A * B + beta * C, if s == blas.Left,
// C = alpha * B * A + beta * C, if s == blas.Right,
// where A is an n×n or m×m symmetric matrix, B and C are m×n matrices, and
// alpha is a scalar.
func Symm(s blas.Side, alpha float64, a Symmetric, b General, beta float64, c General) {
var m, n int
if s == blas.Left {
m, n = a.N, b.Cols
} else {
m, n = b.Rows, a.N
}
blas64.Dsymm(s, a.Uplo, m, n, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}
// Syrk performs a symmetric rank-k update
// C = alpha * A * A^T + beta * C, if t == blas.NoTrans,
// C = alpha * A^T * A + beta * C, if t == blas.Trans or blas.ConjTrans,
// where C is an n×n symmetric matrix, A is an n×k matrix if t == blas.NoTrans and
// a k×n matrix otherwise, and alpha and beta are scalars.
func Syrk(t blas.Transpose, alpha float64, a General, beta float64, c Symmetric) {
var n, k int
if t == blas.NoTrans {
n, k = a.Rows, a.Cols
} else {
n, k = a.Cols, a.Rows
}
blas64.Dsyrk(c.Uplo, t, n, k, alpha, a.Data, a.Stride, beta, c.Data, c.Stride)
}
// Syr2k performs a symmetric rank-2k update
// C = alpha * A * B^T + alpha * B * A^T + beta * C, if t == blas.NoTrans,
// C = alpha * A^T * B + alpha * B^T * A + beta * C, if t == blas.Trans or blas.ConjTrans,
// where C is an n×n symmetric matrix, A and B are n×k matrices if t == NoTrans
// and k×n matrices otherwise, and alpha and beta are scalars.
func Syr2k(t blas.Transpose, alpha float64, a, b General, beta float64, c Symmetric) {
var n, k int
if t == blas.NoTrans {
n, k = a.Rows, a.Cols
} else {
n, k = a.Cols, a.Rows
}
blas64.Dsyr2k(c.Uplo, t, n, k, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}
// Trmm performs
// B = alpha * A * B, if tA == blas.NoTrans and s == blas.Left,
// B = alpha * A^T * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Left,
// B = alpha * B * A, if tA == blas.NoTrans and s == blas.Right,
// B = alpha * B * A^T, if tA == blas.Trans or blas.ConjTrans, and s == blas.Right,
// where A is an n×n or m×m triangular matrix, B is an m×n matrix, and alpha is
// a scalar.
func Trmm(s blas.Side, tA blas.Transpose, alpha float64, a Triangular, b General) {
blas64.Dtrmm(s, a.Uplo, tA, a.Diag, b.Rows, b.Cols, alpha, a.Data, a.Stride, b.Data, b.Stride)
}
// Trsm solves
// A * X = alpha * B, if tA == blas.NoTrans and s == blas.Left,
// A^T * X = alpha * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Left,
// X * A = alpha * B, if tA == blas.NoTrans and s == blas.Right,
// X * A^T = alpha * B, if tA == blas.Trans or blas.ConjTrans, and s == blas.Right,
// where A is an n×n or m×m triangular matrix, X and B are m×n matrices, and
// alpha is a scalar.
//
// At entry to the function, X contains the values of B, and the result is
// stored in-place into X.
//
// No check is made that A is invertible.
func Trsm(s blas.Side, tA blas.Transpose, alpha float64, a Triangular, b General) {
blas64.Dtrsm(s, a.Uplo, tA, a.Diag, b.Rows, b.Cols, alpha, a.Data, a.Stride, b.Data, b.Stride)
}

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vendor/gonum.org/v1/gonum/blas/blas64/conv.go generated vendored
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// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package blas64
import "gonum.org/v1/gonum/blas"
// GeneralCols represents a matrix using the conventional column-major storage scheme.
type GeneralCols General
// From fills the receiver with elements from a. The receiver
// must have the same dimensions as a and have adequate backing
// data storage.
func (t GeneralCols) From(a General) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("blas64: mismatched dimension")
}
if len(t.Data) < (t.Cols-1)*t.Stride+t.Rows {
panic("blas64: short data slice")
}
for i := 0; i < a.Rows; i++ {
for j, v := range a.Data[i*a.Stride : i*a.Stride+a.Cols] {
t.Data[i+j*t.Stride] = v
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions as a and have adequate backing
// data storage.
func (t General) From(a GeneralCols) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("blas64: mismatched dimension")
}
if len(t.Data) < (t.Rows-1)*t.Stride+t.Cols {
panic("blas64: short data slice")
}
for j := 0; j < a.Cols; j++ {
for i, v := range a.Data[j*a.Stride : j*a.Stride+a.Rows] {
t.Data[i*t.Stride+j] = v
}
}
}
// TriangularCols represents a matrix using the conventional column-major storage scheme.
type TriangularCols Triangular
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, uplo and diag as a and have
// adequate backing data storage.
func (t TriangularCols) From(a Triangular) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("blas64: mismatched BLAS diag")
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
case blas.All:
for i := 0; i < a.N; i++ {
for j := 0; j < a.N; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, uplo and diag as a and have
// adequate backing data storage.
func (t Triangular) From(a TriangularCols) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("blas64: mismatched BLAS diag")
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
case blas.All:
for i := 0; i < a.N; i++ {
for j := 0; j < a.N; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
}
}
// BandCols represents a matrix using the band column-major storage scheme.
type BandCols Band
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and bandwidth as a and have
// adequate backing data storage.
func (t BandCols) From(a Band) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("blas64: mismatched dimension")
}
if t.KL != a.KL || t.KU != a.KU {
panic("blas64: mismatched bandwidth")
}
if a.Stride < a.KL+a.KU+1 {
panic("blas64: short stride for source")
}
if t.Stride < t.KL+t.KU+1 {
panic("blas64: short stride for destination")
}
for i := 0; i < a.Rows; i++ {
for j := max(0, i-a.KL); j < min(i+a.KU+1, a.Cols); j++ {
t.Data[i+t.KU-j+j*t.Stride] = a.Data[j+a.KL-i+i*a.Stride]
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and bandwidth as a and have
// adequate backing data storage.
func (t Band) From(a BandCols) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("blas64: mismatched dimension")
}
if t.KL != a.KL || t.KU != a.KU {
panic("blas64: mismatched bandwidth")
}
if a.Stride < a.KL+a.KU+1 {
panic("blas64: short stride for source")
}
if t.Stride < t.KL+t.KU+1 {
panic("blas64: short stride for destination")
}
for j := 0; j < a.Cols; j++ {
for i := max(0, j-a.KU); i < min(j+a.KL+1, a.Rows); i++ {
t.Data[j+a.KL-i+i*a.Stride] = a.Data[i+t.KU-j+j*t.Stride]
}
}
}
// TriangularBandCols represents a symmetric matrix using the band column-major storage scheme.
type TriangularBandCols TriangularBand
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t TriangularBandCols) From(a TriangularBand) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.K != a.K {
panic("blas64: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("blas64: short stride for source")
}
if t.Stride < t.K+1 {
panic("blas64: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("blas64: mismatched BLAS diag")
}
dst := BandCols{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := Band{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t TriangularBand) From(a TriangularBandCols) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.K != a.K {
panic("blas64: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("blas64: short stride for source")
}
if t.Stride < t.K+1 {
panic("blas64: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("blas64: mismatched BLAS diag")
}
dst := Band{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := BandCols{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}
func min(a, b int) int {
if a < b {
return a
}
return b
}
func max(a, b int) int {
if a > b {
return a
}
return b
}

153
vendor/gonum.org/v1/gonum/blas/blas64/conv_symmetric.go generated vendored
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@@ -1,153 +0,0 @@
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package blas64
import "gonum.org/v1/gonum/blas"
// SymmetricCols represents a matrix using the conventional column-major storage scheme.
type SymmetricCols Symmetric
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and uplo as a and have adequate
// backing data storage.
func (t SymmetricCols) From(a Symmetric) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and uplo as a and have adequate
// backing data storage.
func (t Symmetric) From(a SymmetricCols) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
}
}
// SymmetricBandCols represents a symmetric matrix using the band column-major storage scheme.
type SymmetricBandCols SymmetricBand
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t SymmetricBandCols) From(a SymmetricBand) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.K != a.K {
panic("blas64: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("blas64: short stride for source")
}
if t.Stride < t.K+1 {
panic("blas64: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
dst := BandCols{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := Band{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t SymmetricBand) From(a SymmetricBandCols) {
if t.N != a.N {
panic("blas64: mismatched dimension")
}
if t.K != a.K {
panic("blas64: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("blas64: short stride for source")
}
if t.Stride < t.K+1 {
panic("blas64: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("blas64: mismatched BLAS uplo")
}
dst := Band{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := BandCols{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("blas64: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}

6
vendor/gonum.org/v1/gonum/blas/blas64/doc.go generated vendored
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@@ -1,6 +0,0 @@
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package blas64 provides a simple interface to the float64 BLAS API.
package blas64 // import "gonum.org/v1/gonum/blas/blas64"

508
vendor/gonum.org/v1/gonum/blas/cblas128/cblas128.go generated vendored
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@@ -1,508 +0,0 @@
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package cblas128
import (
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/blas/gonum"
)
var cblas128 blas.Complex128 = gonum.Implementation{}
// Use sets the BLAS complex128 implementation to be used by subsequent BLAS calls.
// The default implementation is
// gonum.org/v1/gonum/blas/gonum.Implementation.
func Use(b blas.Complex128) {
cblas128 = b
}
// Implementation returns the current BLAS complex128 implementation.
//
// Implementation allows direct calls to the current the BLAS complex128 implementation
// giving finer control of parameters.
func Implementation() blas.Complex128 {
return cblas128
}
// Vector represents a vector with an associated element increment.
type Vector struct {
Inc int
Data []complex128
}
// General represents a matrix using the conventional storage scheme.
type General struct {
Rows, Cols int
Stride int
Data []complex128
}
// Band represents a band matrix using the band storage scheme.
type Band struct {
Rows, Cols int
KL, KU int
Stride int
Data []complex128
}
// Triangular represents a triangular matrix using the conventional storage scheme.
type Triangular struct {
N int
Stride int
Data []complex128
Uplo blas.Uplo
Diag blas.Diag
}
// TriangularBand represents a triangular matrix using the band storage scheme.
type TriangularBand struct {
N, K int
Stride int
Data []complex128
Uplo blas.Uplo
Diag blas.Diag
}
// TriangularPacked represents a triangular matrix using the packed storage scheme.
type TriangularPacked struct {
N int
Data []complex128
Uplo blas.Uplo
Diag blas.Diag
}
// Symmetric represents a symmetric matrix using the conventional storage scheme.
type Symmetric struct {
N int
Stride int
Data []complex128
Uplo blas.Uplo
}
// SymmetricBand represents a symmetric matrix using the band storage scheme.
type SymmetricBand struct {
N, K int
Stride int
Data []complex128
Uplo blas.Uplo
}
// SymmetricPacked represents a symmetric matrix using the packed storage scheme.
type SymmetricPacked struct {
N int
Data []complex128
Uplo blas.Uplo
}
// Hermitian represents an Hermitian matrix using the conventional storage scheme.
type Hermitian Symmetric
// HermitianBand represents an Hermitian matrix using the band storage scheme.
type HermitianBand SymmetricBand
// HermitianPacked represents an Hermitian matrix using the packed storage scheme.
type HermitianPacked SymmetricPacked
// Level 1
const negInc = "cblas128: negative vector increment"
// Dotu computes the dot product of the two vectors without
// complex conjugation:
// x^T * y.
func Dotu(n int, x, y Vector) complex128 {
return cblas128.Zdotu(n, x.Data, x.Inc, y.Data, y.Inc)
}
// Dotc computes the dot product of the two vectors with
// complex conjugation:
// x^H * y.
func Dotc(n int, x, y Vector) complex128 {
return cblas128.Zdotc(n, x.Data, x.Inc, y.Data, y.Inc)
}
// Nrm2 computes the Euclidean norm of the vector x:
// sqrt(\sum_i x[i] * x[i]).
//
// Nrm2 will panic if the vector increment is negative.
func Nrm2(n int, x Vector) float64 {
if x.Inc < 0 {
panic(negInc)
}
return cblas128.Dznrm2(n, x.Data, x.Inc)
}
// Asum computes the sum of magnitudes of the real and imaginary parts of
// elements of the vector x:
// \sum_i (|Re x[i]| + |Im x[i]|).
//
// Asum will panic if the vector increment is negative.
func Asum(n int, x Vector) float64 {
if x.Inc < 0 {
panic(negInc)
}
return cblas128.Dzasum(n, x.Data, x.Inc)
}
// Iamax returns the index of an element of x with the largest sum of
// magnitudes of the real and imaginary parts (|Re x[i]|+|Im x[i]|).
// If there are multiple such indices, the earliest is returned.
//
// Iamax returns -1 if n == 0.
//
// Iamax will panic if the vector increment is negative.
func Iamax(n int, x Vector) int {
if x.Inc < 0 {
panic(negInc)
}
return cblas128.Izamax(n, x.Data, x.Inc)
}
// Swap exchanges the elements of two vectors:
// x[i], y[i] = y[i], x[i] for all i.
func Swap(n int, x, y Vector) {
cblas128.Zswap(n, x.Data, x.Inc, y.Data, y.Inc)
}
// Copy copies the elements of x into the elements of y:
// y[i] = x[i] for all i.
func Copy(n int, x, y Vector) {
cblas128.Zcopy(n, x.Data, x.Inc, y.Data, y.Inc)
}
// Axpy computes
// y = alpha * x + y,
// where x and y are vectors, and alpha is a scalar.
func Axpy(n int, alpha complex128, x, y Vector) {
cblas128.Zaxpy(n, alpha, x.Data, x.Inc, y.Data, y.Inc)
}
// Scal computes
// x = alpha * x,
// where x is a vector, and alpha is a scalar.
//
// Scal will panic if the vector increment is negative.
func Scal(n int, alpha complex128, x Vector) {
if x.Inc < 0 {
panic(negInc)
}
cblas128.Zscal(n, alpha, x.Data, x.Inc)
}
// Dscal computes
// x = alpha * x,
// where x is a vector, and alpha is a real scalar.
//
// Dscal will panic if the vector increment is negative.
func Dscal(n int, alpha float64, x Vector) {
if x.Inc < 0 {
panic(negInc)
}
cblas128.Zdscal(n, alpha, x.Data, x.Inc)
}
// Level 2
// Gemv computes
// y = alpha * A * x + beta * y, if t == blas.NoTrans,
// y = alpha * A^T * x + beta * y, if t == blas.Trans,
// y = alpha * A^H * x + beta * y, if t == blas.ConjTrans,
// where A is an m×n dense matrix, x and y are vectors, and alpha and beta are
// scalars.
func Gemv(t blas.Transpose, alpha complex128, a General, x Vector, beta complex128, y Vector) {
cblas128.Zgemv(t, a.Rows, a.Cols, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Gbmv computes
// y = alpha * A * x + beta * y, if t == blas.NoTrans,
// y = alpha * A^T * x + beta * y, if t == blas.Trans,
// y = alpha * A^H * x + beta * y, if t == blas.ConjTrans,
// where A is an m×n band matrix, x and y are vectors, and alpha and beta are
// scalars.
func Gbmv(t blas.Transpose, alpha complex128, a Band, x Vector, beta complex128, y Vector) {
cblas128.Zgbmv(t, a.Rows, a.Cols, a.KL, a.KU, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Trmv computes
// x = A * x, if t == blas.NoTrans,
// x = A^T * x, if t == blas.Trans,
// x = A^H * x, if t == blas.ConjTrans,
// where A is an n×n triangular matrix, and x is a vector.
func Trmv(t blas.Transpose, a Triangular, x Vector) {
cblas128.Ztrmv(a.Uplo, t, a.Diag, a.N, a.Data, a.Stride, x.Data, x.Inc)
}
// Tbmv computes
// x = A * x, if t == blas.NoTrans,
// x = A^T * x, if t == blas.Trans,
// x = A^H * x, if t == blas.ConjTrans,
// where A is an n×n triangular band matrix, and x is a vector.
func Tbmv(t blas.Transpose, a TriangularBand, x Vector) {
cblas128.Ztbmv(a.Uplo, t, a.Diag, a.N, a.K, a.Data, a.Stride, x.Data, x.Inc)
}
// Tpmv computes
// x = A * x, if t == blas.NoTrans,
// x = A^T * x, if t == blas.Trans,
// x = A^H * x, if t == blas.ConjTrans,
// where A is an n×n triangular matrix in packed format, and x is a vector.
func Tpmv(t blas.Transpose, a TriangularPacked, x Vector) {
cblas128.Ztpmv(a.Uplo, t, a.Diag, a.N, a.Data, x.Data, x.Inc)
}
// Trsv solves
// A * x = b, if t == blas.NoTrans,
// A^T * x = b, if t == blas.Trans,
// A^H * x = b, if t == blas.ConjTrans,
// where A is an n×n triangular matrix and x is a vector.
//
// At entry to the function, x contains the values of b, and the result is
// stored in-place into x.
//
// No test for singularity or near-singularity is included in this
// routine. Such tests must be performed before calling this routine.
func Trsv(t blas.Transpose, a Triangular, x Vector) {
cblas128.Ztrsv(a.Uplo, t, a.Diag, a.N, a.Data, a.Stride, x.Data, x.Inc)
}
// Tbsv solves
// A * x = b, if t == blas.NoTrans,
// A^T * x = b, if t == blas.Trans,
// A^H * x = b, if t == blas.ConjTrans,
// where A is an n×n triangular band matrix, and x is a vector.
//
// At entry to the function, x contains the values of b, and the result is
// stored in-place into x.
//
// No test for singularity or near-singularity is included in this
// routine. Such tests must be performed before calling this routine.
func Tbsv(t blas.Transpose, a TriangularBand, x Vector) {
cblas128.Ztbsv(a.Uplo, t, a.Diag, a.N, a.K, a.Data, a.Stride, x.Data, x.Inc)
}
// Tpsv solves
// A * x = b, if t == blas.NoTrans,
// A^T * x = b, if t == blas.Trans,
// A^H * x = b, if t == blas.ConjTrans,
// where A is an n×n triangular matrix in packed format and x is a vector.
//
// At entry to the function, x contains the values of b, and the result is
// stored in-place into x.
//
// No test for singularity or near-singularity is included in this
// routine. Such tests must be performed before calling this routine.
func Tpsv(t blas.Transpose, a TriangularPacked, x Vector) {
cblas128.Ztpsv(a.Uplo, t, a.Diag, a.N, a.Data, x.Data, x.Inc)
}
// Hemv computes
// y = alpha * A * x + beta * y,
// where A is an n×n Hermitian matrix, x and y are vectors, and alpha and
// beta are scalars.
func Hemv(alpha complex128, a Hermitian, x Vector, beta complex128, y Vector) {
cblas128.Zhemv(a.Uplo, a.N, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Hbmv performs
// y = alpha * A * x + beta * y,
// where A is an n×n Hermitian band matrix, x and y are vectors, and alpha
// and beta are scalars.
func Hbmv(alpha complex128, a HermitianBand, x Vector, beta complex128, y Vector) {
cblas128.Zhbmv(a.Uplo, a.N, a.K, alpha, a.Data, a.Stride, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Hpmv performs
// y = alpha * A * x + beta * y,
// where A is an n×n Hermitian matrix in packed format, x and y are vectors,
// and alpha and beta are scalars.
func Hpmv(alpha complex128, a HermitianPacked, x Vector, beta complex128, y Vector) {
cblas128.Zhpmv(a.Uplo, a.N, alpha, a.Data, x.Data, x.Inc, beta, y.Data, y.Inc)
}
// Geru performs a rank-1 update
// A += alpha * x * y^T,
// where A is an m×n dense matrix, x and y are vectors, and alpha is a scalar.
func Geru(alpha complex128, x, y Vector, a General) {
cblas128.Zgeru(a.Rows, a.Cols, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data, a.Stride)
}
// Gerc performs a rank-1 update
// A += alpha * x * y^H,
// where A is an m×n dense matrix, x and y are vectors, and alpha is a scalar.
func Gerc(alpha complex128, x, y Vector, a General) {
cblas128.Zgerc(a.Rows, a.Cols, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data, a.Stride)
}
// Her performs a rank-1 update
// A += alpha * x * y^T,
// where A is an m×n Hermitian matrix, x and y are vectors, and alpha is a scalar.
func Her(alpha float64, x Vector, a Hermitian) {
cblas128.Zher(a.Uplo, a.N, alpha, x.Data, x.Inc, a.Data, a.Stride)
}
// Hpr performs a rank-1 update
// A += alpha * x * x^H,
// where A is an n×n Hermitian matrix in packed format, x is a vector, and
// alpha is a scalar.
func Hpr(alpha float64, x Vector, a HermitianPacked) {
cblas128.Zhpr(a.Uplo, a.N, alpha, x.Data, x.Inc, a.Data)
}
// Her2 performs a rank-2 update
// A += alpha * x * y^H + conj(alpha) * y * x^H,
// where A is an n×n Hermitian matrix, x and y are vectors, and alpha is a scalar.
func Her2(alpha complex128, x, y Vector, a Hermitian) {
cblas128.Zher2(a.Uplo, a.N, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data, a.Stride)
}
// Hpr2 performs a rank-2 update
// A += alpha * x * y^H + conj(alpha) * y * x^H,
// where A is an n×n Hermitian matrix in packed format, x and y are vectors,
// and alpha is a scalar.
func Hpr2(alpha complex128, x, y Vector, a HermitianPacked) {
cblas128.Zhpr2(a.Uplo, a.N, alpha, x.Data, x.Inc, y.Data, y.Inc, a.Data)
}
// Level 3
// Gemm computes
// C = alpha * A * B + beta * C,
// where A, B, and C are dense matrices, and alpha and beta are scalars.
// tA and tB specify whether A or B are transposed or conjugated.
func Gemm(tA, tB blas.Transpose, alpha complex128, a, b General, beta complex128, c General) {
var m, n, k int
if tA == blas.NoTrans {
m, k = a.Rows, a.Cols
} else {
m, k = a.Cols, a.Rows
}
if tB == blas.NoTrans {
n = b.Cols
} else {
n = b.Rows
}
cblas128.Zgemm(tA, tB, m, n, k, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}
// Symm performs
// C = alpha * A * B + beta * C, if s == blas.Left,
// C = alpha * B * A + beta * C, if s == blas.Right,
// where A is an n×n or m×m symmetric matrix, B and C are m×n matrices, and
// alpha and beta are scalars.
func Symm(s blas.Side, alpha complex128, a Symmetric, b General, beta complex128, c General) {
var m, n int
if s == blas.Left {
m, n = a.N, b.Cols
} else {
m, n = b.Rows, a.N
}
cblas128.Zsymm(s, a.Uplo, m, n, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}
// Syrk performs a symmetric rank-k update
// C = alpha * A * A^T + beta * C, if t == blas.NoTrans,
// C = alpha * A^T * A + beta * C, if t == blas.Trans,
// where C is an n×n symmetric matrix, A is an n×k matrix if t == blas.NoTrans
// and a k×n matrix otherwise, and alpha and beta are scalars.
func Syrk(t blas.Transpose, alpha complex128, a General, beta complex128, c Symmetric) {
var n, k int
if t == blas.NoTrans {
n, k = a.Rows, a.Cols
} else {
n, k = a.Cols, a.Rows
}
cblas128.Zsyrk(c.Uplo, t, n, k, alpha, a.Data, a.Stride, beta, c.Data, c.Stride)
}
// Syr2k performs a symmetric rank-2k update
// C = alpha * A * B^T + alpha * B * A^T + beta * C, if t == blas.NoTrans,
// C = alpha * A^T * B + alpha * B^T * A + beta * C, if t == blas.Trans,
// where C is an n×n symmetric matrix, A and B are n×k matrices if
// t == blas.NoTrans and k×n otherwise, and alpha and beta are scalars.
func Syr2k(t blas.Transpose, alpha complex128, a, b General, beta complex128, c Symmetric) {
var n, k int
if t == blas.NoTrans {
n, k = a.Rows, a.Cols
} else {
n, k = a.Cols, a.Rows
}
cblas128.Zsyr2k(c.Uplo, t, n, k, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}
// Trmm performs
// B = alpha * A * B, if tA == blas.NoTrans and s == blas.Left,
// B = alpha * A^T * B, if tA == blas.Trans and s == blas.Left,
// B = alpha * A^H * B, if tA == blas.ConjTrans and s == blas.Left,
// B = alpha * B * A, if tA == blas.NoTrans and s == blas.Right,
// B = alpha * B * A^T, if tA == blas.Trans and s == blas.Right,
// B = alpha * B * A^H, if tA == blas.ConjTrans and s == blas.Right,
// where A is an n×n or m×m triangular matrix, B is an m×n matrix, and alpha is
// a scalar.
func Trmm(s blas.Side, tA blas.Transpose, alpha complex128, a Triangular, b General) {
cblas128.Ztrmm(s, a.Uplo, tA, a.Diag, b.Rows, b.Cols, alpha, a.Data, a.Stride, b.Data, b.Stride)
}
// Trsm solves
// A * X = alpha * B, if tA == blas.NoTrans and s == blas.Left,
// A^T * X = alpha * B, if tA == blas.Trans and s == blas.Left,
// A^H * X = alpha * B, if tA == blas.ConjTrans and s == blas.Left,
// X * A = alpha * B, if tA == blas.NoTrans and s == blas.Right,
// X * A^T = alpha * B, if tA == blas.Trans and s == blas.Right,
// X * A^H = alpha * B, if tA == blas.ConjTrans and s == blas.Right,
// where A is an n×n or m×m triangular matrix, X and B are m×n matrices, and
// alpha is a scalar.
//
// At entry to the function, b contains the values of B, and the result is
// stored in-place into b.
//
// No check is made that A is invertible.
func Trsm(s blas.Side, tA blas.Transpose, alpha complex128, a Triangular, b General) {
cblas128.Ztrsm(s, a.Uplo, tA, a.Diag, b.Rows, b.Cols, alpha, a.Data, a.Stride, b.Data, b.Stride)
}
// Hemm performs
// C = alpha * A * B + beta * C, if s == blas.Left,
// C = alpha * B * A + beta * C, if s == blas.Right,
// where A is an n×n or m×m Hermitian matrix, B and C are m×n matrices, and
// alpha and beta are scalars.
func Hemm(s blas.Side, alpha complex128, a Hermitian, b General, beta complex128, c General) {
var m, n int
if s == blas.Left {
m, n = a.N, b.Cols
} else {
m, n = b.Rows, a.N
}
cblas128.Zhemm(s, a.Uplo, m, n, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}
// Herk performs the Hermitian rank-k update
// C = alpha * A * A^H + beta*C, if t == blas.NoTrans,
// C = alpha * A^H * A + beta*C, if t == blas.ConjTrans,
// where C is an n×n Hermitian matrix, A is an n×k matrix if t == blas.NoTrans
// and a k×n matrix otherwise, and alpha and beta are scalars.
func Herk(t blas.Transpose, alpha float64, a General, beta float64, c Hermitian) {
var n, k int
if t == blas.NoTrans {
n, k = a.Rows, a.Cols
} else {
n, k = a.Cols, a.Rows
}
cblas128.Zherk(c.Uplo, t, n, k, alpha, a.Data, a.Stride, beta, c.Data, c.Stride)
}
// Her2k performs the Hermitian rank-2k update
// C = alpha * A * B^H + conj(alpha) * B * A^H + beta * C, if t == blas.NoTrans,
// C = alpha * A^H * B + conj(alpha) * B^H * A + beta * C, if t == blas.ConjTrans,
// where C is an n×n Hermitian matrix, A and B are n×k matrices if t == NoTrans
// and k×n matrices otherwise, and alpha and beta are scalars.
func Her2k(t blas.Transpose, alpha complex128, a, b General, beta float64, c Hermitian) {
var n, k int
if t == blas.NoTrans {
n, k = a.Rows, a.Cols
} else {
n, k = a.Cols, a.Rows
}
cblas128.Zher2k(c.Uplo, t, n, k, alpha, a.Data, a.Stride, b.Data, b.Stride, beta, c.Data, c.Stride)
}

279
vendor/gonum.org/v1/gonum/blas/cblas128/conv.go generated vendored
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@@ -1,279 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package cblas128
import "gonum.org/v1/gonum/blas"
// GeneralCols represents a matrix using the conventional column-major storage scheme.
type GeneralCols General
// From fills the receiver with elements from a. The receiver
// must have the same dimensions as a and have adequate backing
// data storage.
func (t GeneralCols) From(a General) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("cblas128: mismatched dimension")
}
if len(t.Data) < (t.Cols-1)*t.Stride+t.Rows {
panic("cblas128: short data slice")
}
for i := 0; i < a.Rows; i++ {
for j, v := range a.Data[i*a.Stride : i*a.Stride+a.Cols] {
t.Data[i+j*t.Stride] = v
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions as a and have adequate backing
// data storage.
func (t General) From(a GeneralCols) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("cblas128: mismatched dimension")
}
if len(t.Data) < (t.Rows-1)*t.Stride+t.Cols {
panic("cblas128: short data slice")
}
for j := 0; j < a.Cols; j++ {
for i, v := range a.Data[j*a.Stride : j*a.Stride+a.Rows] {
t.Data[i*t.Stride+j] = v
}
}
}
// TriangularCols represents a matrix using the conventional column-major storage scheme.
type TriangularCols Triangular
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, uplo and diag as a and have
// adequate backing data storage.
func (t TriangularCols) From(a Triangular) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("cblas128: mismatched BLAS diag")
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
case blas.All:
for i := 0; i < a.N; i++ {
for j := 0; j < a.N; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, uplo and diag as a and have
// adequate backing data storage.
func (t Triangular) From(a TriangularCols) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("cblas128: mismatched BLAS diag")
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
case blas.All:
for i := 0; i < a.N; i++ {
for j := 0; j < a.N; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
}
}
// BandCols represents a matrix using the band column-major storage scheme.
type BandCols Band
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and bandwidth as a and have
// adequate backing data storage.
func (t BandCols) From(a Band) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("cblas128: mismatched dimension")
}
if t.KL != a.KL || t.KU != a.KU {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.KL+a.KU+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.KL+t.KU+1 {
panic("cblas128: short stride for destination")
}
for i := 0; i < a.Rows; i++ {
for j := max(0, i-a.KL); j < min(i+a.KU+1, a.Cols); j++ {
t.Data[i+t.KU-j+j*t.Stride] = a.Data[j+a.KL-i+i*a.Stride]
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and bandwidth as a and have
// adequate backing data storage.
func (t Band) From(a BandCols) {
if t.Rows != a.Rows || t.Cols != a.Cols {
panic("cblas128: mismatched dimension")
}
if t.KL != a.KL || t.KU != a.KU {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.KL+a.KU+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.KL+t.KU+1 {
panic("cblas128: short stride for destination")
}
for j := 0; j < a.Cols; j++ {
for i := max(0, j-a.KU); i < min(j+a.KL+1, a.Rows); i++ {
t.Data[j+a.KL-i+i*a.Stride] = a.Data[i+t.KU-j+j*t.Stride]
}
}
}
// TriangularBandCols represents a symmetric matrix using the band column-major storage scheme.
type TriangularBandCols TriangularBand
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t TriangularBandCols) From(a TriangularBand) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.K != a.K {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.K+1 {
panic("cblas128: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("cblas128: mismatched BLAS diag")
}
dst := BandCols{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := Band{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t TriangularBand) From(a TriangularBandCols) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.K != a.K {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.K+1 {
panic("cblas128: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
if t.Diag != a.Diag {
panic("cblas128: mismatched BLAS diag")
}
dst := Band{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := BandCols{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}
func min(a, b int) int {
if a < b {
return a
}
return b
}
func max(a, b int) int {
if a > b {
return a
}
return b
}

155
vendor/gonum.org/v1/gonum/blas/cblas128/conv_hermitian.go generated vendored
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@@ -1,155 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package cblas128
import "gonum.org/v1/gonum/blas"
// HermitianCols represents a matrix using the conventional column-major storage scheme.
type HermitianCols Hermitian
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and uplo as a and have adequate
// backing data storage.
func (t HermitianCols) From(a Hermitian) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and uplo as a and have adequate
// backing data storage.
func (t Hermitian) From(a HermitianCols) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
}
}
// HermitianBandCols represents an Hermitian matrix using the band column-major storage scheme.
type HermitianBandCols HermitianBand
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t HermitianBandCols) From(a HermitianBand) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.K != a.K {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.K+1 {
panic("cblas128: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
dst := BandCols{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := Band{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t HermitianBand) From(a HermitianBandCols) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.K != a.K {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.K+1 {
panic("cblas128: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
dst := Band{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := BandCols{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}

155
vendor/gonum.org/v1/gonum/blas/cblas128/conv_symmetric.go generated vendored
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@@ -1,155 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package cblas128
import "gonum.org/v1/gonum/blas"
// SymmetricCols represents a matrix using the conventional column-major storage scheme.
type SymmetricCols Symmetric
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and uplo as a and have adequate
// backing data storage.
func (t SymmetricCols) From(a Symmetric) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i+j*t.Stride] = a.Data[i*a.Stride+j]
}
}
}
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions and uplo as a and have adequate
// backing data storage.
func (t Symmetric) From(a SymmetricCols) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
for i := 0; i < a.N; i++ {
for j := i; j < a.N; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
case blas.Lower:
for i := 0; i < a.N; i++ {
for j := 0; j <= i; j++ {
t.Data[i*t.Stride+j] = a.Data[i+j*a.Stride]
}
}
}
}
// SymmetricBandCols represents a symmetric matrix using the band column-major storage scheme.
type SymmetricBandCols SymmetricBand
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t SymmetricBandCols) From(a SymmetricBand) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.K != a.K {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.K+1 {
panic("cblas128: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
dst := BandCols{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := Band{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}
// From fills the receiver with elements from a. The receiver
// must have the same dimensions, bandwidth and uplo as a and
// have adequate backing data storage.
func (t SymmetricBand) From(a SymmetricBandCols) {
if t.N != a.N {
panic("cblas128: mismatched dimension")
}
if t.K != a.K {
panic("cblas128: mismatched bandwidth")
}
if a.Stride < a.K+1 {
panic("cblas128: short stride for source")
}
if t.Stride < t.K+1 {
panic("cblas128: short stride for destination")
}
if t.Uplo != a.Uplo {
panic("cblas128: mismatched BLAS uplo")
}
dst := Band{
Rows: t.N, Cols: t.N,
Stride: t.Stride,
Data: t.Data,
}
src := BandCols{
Rows: a.N, Cols: a.N,
Stride: a.Stride,
Data: a.Data,
}
switch a.Uplo {
default:
panic("cblas128: bad BLAS uplo")
case blas.Upper:
dst.KU = t.K
src.KU = a.K
case blas.Lower:
dst.KL = t.K
src.KL = a.K
}
dst.From(src)
}

6
vendor/gonum.org/v1/gonum/blas/cblas128/doc.go generated vendored
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@@ -1,6 +0,0 @@
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package cblas128 provides a simple interface to the complex128 BLAS API.
package cblas128 // import "gonum.org/v1/gonum/blas/cblas128"

159
vendor/gonum.org/v1/gonum/blas/conversions.bash generated vendored
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@@ -1,159 +0,0 @@
#!/usr/bin/env bash
# Copyright ©2017 The Gonum Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
# Generate code for blas32.
echo Generating blas32/conv.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > blas32/conv.go
cat blas64/conv.go \
| gofmt -r 'float64 -> float32' \
\
| sed -e 's/blas64/blas32/' \
\
>> blas32/conv.go
echo Generating blas32/conv_test.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > blas32/conv_test.go
cat blas64/conv_test.go \
| gofmt -r 'float64 -> float32' \
\
| sed -e 's/blas64/blas32/' \
-e 's_"math"_math "gonum.org/v1/gonum/internal/math32"_' \
\
>> blas32/conv_test.go
echo Generating blas32/conv_symmetric.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > blas32/conv_symmetric.go
cat blas64/conv_symmetric.go \
| gofmt -r 'float64 -> float32' \
\
| sed -e 's/blas64/blas32/' \
\
>> blas32/conv_symmetric.go
echo Generating blas32/conv_symmetric_test.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > blas32/conv_symmetric_test.go
cat blas64/conv_symmetric_test.go \
| gofmt -r 'float64 -> float32' \
\
| sed -e 's/blas64/blas32/' \
-e 's_"math"_math "gonum.org/v1/gonum/internal/math32"_' \
\
>> blas32/conv_symmetric_test.go
# Generate code for cblas128.
echo Generating cblas128/conv.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas128/conv.go
cat blas64/conv.go \
| gofmt -r 'float64 -> complex128' \
\
| sed -e 's/blas64/cblas128/' \
\
>> cblas128/conv.go
echo Generating cblas128/conv_test.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas128/conv_test.go
cat blas64/conv_test.go \
| gofmt -r 'float64 -> complex128' \
\
| sed -e 's/blas64/cblas128/' \
-e 's_"math"_math "math/cmplx"_' \
\
>> cblas128/conv_test.go
echo Generating cblas128/conv_symmetric.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas128/conv_symmetric.go
cat blas64/conv_symmetric.go \
| gofmt -r 'float64 -> complex128' \
\
| sed -e 's/blas64/cblas128/' \
\
>> cblas128/conv_symmetric.go
echo Generating cblas128/conv_symmetric_test.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas128/conv_symmetric_test.go
cat blas64/conv_symmetric_test.go \
| gofmt -r 'float64 -> complex128' \
\
| sed -e 's/blas64/cblas128/' \
-e 's_"math"_math "math/cmplx"_' \
\
>> cblas128/conv_symmetric_test.go
echo Generating cblas128/conv_hermitian.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas128/conv_hermitian.go
cat blas64/conv_symmetric.go \
| gofmt -r 'float64 -> complex128' \
\
| sed -e 's/blas64/cblas128/' \
-e 's/Symmetric/Hermitian/g' \
-e 's/a symmetric/an Hermitian/g' \
-e 's/symmetric/hermitian/g' \
-e 's/Sym/Herm/g' \
\
>> cblas128/conv_hermitian.go
echo Generating cblas128/conv_hermitian_test.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas128/conv_hermitian_test.go
cat blas64/conv_symmetric_test.go \
| gofmt -r 'float64 -> complex128' \
\
| sed -e 's/blas64/cblas128/' \
-e 's/Symmetric/Hermitian/g' \
-e 's/a symmetric/an Hermitian/g' \
-e 's/symmetric/hermitian/g' \
-e 's/Sym/Herm/g' \
-e 's_"math"_math "math/cmplx"_' \
\
>> cblas128/conv_hermitian_test.go
# Generate code for cblas64.
echo Generating cblas64/conv.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas64/conv.go
cat blas64/conv.go \
| gofmt -r 'float64 -> complex64' \
\
| sed -e 's/blas64/cblas64/' \
\
>> cblas64/conv.go
echo Generating cblas64/conv_test.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas64/conv_test.go
cat blas64/conv_test.go \
| gofmt -r 'float64 -> complex64' \
\
| sed -e 's/blas64/cblas64/' \
-e 's_"math"_math "gonum.org/v1/gonum/internal/cmplx64"_' \
\
>> cblas64/conv_test.go
echo Generating cblas64/conv_hermitian.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas64/conv_hermitian.go
cat blas64/conv_symmetric.go \
| gofmt -r 'float64 -> complex64' \
\
| sed -e 's/blas64/cblas64/' \
-e 's/Symmetric/Hermitian/g' \
-e 's/a symmetric/an Hermitian/g' \
-e 's/symmetric/hermitian/g' \
-e 's/Sym/Herm/g' \
\
>> cblas64/conv_hermitian.go
echo Generating cblas64/conv_hermitian_test.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas”; DO NOT EDIT.\n' > cblas64/conv_hermitian_test.go
cat blas64/conv_symmetric_test.go \
| gofmt -r 'float64 -> complex64' \
\
| sed -e 's/blas64/cblas64/' \
-e 's/Symmetric/Hermitian/g' \
-e 's/a symmetric/an Hermitian/g' \
-e 's/symmetric/hermitian/g' \
-e 's/Sym/Herm/g' \
-e 's_"math"_math "gonum.org/v1/gonum/internal/cmplx64"_' \
\
>> cblas64/conv_hermitian_test.go

108
vendor/gonum.org/v1/gonum/blas/doc.go generated vendored
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@@ -1,108 +0,0 @@
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
/*
Package blas provides interfaces for the BLAS linear algebra standard.
All methods must perform appropriate parameter checking and panic if
provided parameters that do not conform to the requirements specified
by the BLAS standard.
Quick Reference Guide to the BLAS from http://www.netlib.org/lapack/lug/node145.html
This version is modified to remove the "order" option. All matrix operations are
on row-order matrices.
Level 1 BLAS
dim scalar vector vector scalars 5-element prefixes
struct
_rotg ( a, b ) S, D
_rotmg( d1, d2, a, b ) S, D
_rot ( n, x, incX, y, incY, c, s ) S, D
_rotm ( n, x, incX, y, incY, param ) S, D
_swap ( n, x, incX, y, incY ) S, D, C, Z
_scal ( n, alpha, x, incX ) S, D, C, Z, Cs, Zd
_copy ( n, x, incX, y, incY ) S, D, C, Z
_axpy ( n, alpha, x, incX, y, incY ) S, D, C, Z
_dot ( n, x, incX, y, incY ) S, D, Ds
_dotu ( n, x, incX, y, incY ) C, Z
_dotc ( n, x, incX, y, incY ) C, Z
__dot ( n, alpha, x, incX, y, incY ) Sds
_nrm2 ( n, x, incX ) S, D, Sc, Dz
_asum ( n, x, incX ) S, D, Sc, Dz
I_amax( n, x, incX ) s, d, c, z
Level 2 BLAS
options dim b-width scalar matrix vector scalar vector prefixes
_gemv ( trans, m, n, alpha, a, lda, x, incX, beta, y, incY ) S, D, C, Z
_gbmv ( trans, m, n, kL, kU, alpha, a, lda, x, incX, beta, y, incY ) S, D, C, Z
_hemv ( uplo, n, alpha, a, lda, x, incX, beta, y, incY ) C, Z
_hbmv ( uplo, n, k, alpha, a, lda, x, incX, beta, y, incY ) C, Z
_hpmv ( uplo, n, alpha, ap, x, incX, beta, y, incY ) C, Z
_symv ( uplo, n, alpha, a, lda, x, incX, beta, y, incY ) S, D
_sbmv ( uplo, n, k, alpha, a, lda, x, incX, beta, y, incY ) S, D
_spmv ( uplo, n, alpha, ap, x, incX, beta, y, incY ) S, D
_trmv ( uplo, trans, diag, n, a, lda, x, incX ) S, D, C, Z
_tbmv ( uplo, trans, diag, n, k, a, lda, x, incX ) S, D, C, Z
_tpmv ( uplo, trans, diag, n, ap, x, incX ) S, D, C, Z
_trsv ( uplo, trans, diag, n, a, lda, x, incX ) S, D, C, Z
_tbsv ( uplo, trans, diag, n, k, a, lda, x, incX ) S, D, C, Z
_tpsv ( uplo, trans, diag, n, ap, x, incX ) S, D, C, Z
options dim scalar vector vector matrix prefixes
_ger ( m, n, alpha, x, incX, y, incY, a, lda ) S, D
_geru ( m, n, alpha, x, incX, y, incY, a, lda ) C, Z
_gerc ( m, n, alpha, x, incX, y, incY, a, lda ) C, Z
_her ( uplo, n, alpha, x, incX, a, lda ) C, Z
_hpr ( uplo, n, alpha, x, incX, ap ) C, Z
_her2 ( uplo, n, alpha, x, incX, y, incY, a, lda ) C, Z
_hpr2 ( uplo, n, alpha, x, incX, y, incY, ap ) C, Z
_syr ( uplo, n, alpha, x, incX, a, lda ) S, D
_spr ( uplo, n, alpha, x, incX, ap ) S, D
_syr2 ( uplo, n, alpha, x, incX, y, incY, a, lda ) S, D
_spr2 ( uplo, n, alpha, x, incX, y, incY, ap ) S, D
Level 3 BLAS
options dim scalar matrix matrix scalar matrix prefixes
_gemm ( transA, transB, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc ) S, D, C, Z
_symm ( side, uplo, m, n, alpha, a, lda, b, ldb, beta, c, ldc ) S, D, C, Z
_hemm ( side, uplo, m, n, alpha, a, lda, b, ldb, beta, c, ldc ) C, Z
_syrk ( uplo, trans, n, k, alpha, a, lda, beta, c, ldc ) S, D, C, Z
_herk ( uplo, trans, n, k, alpha, a, lda, beta, c, ldc ) C, Z
_syr2k( uplo, trans, n, k, alpha, a, lda, b, ldb, beta, c, ldc ) S, D, C, Z
_her2k( uplo, trans, n, k, alpha, a, lda, b, ldb, beta, c, ldc ) C, Z
_trmm ( side, uplo, transA, diag, m, n, alpha, a, lda, b, ldb ) S, D, C, Z
_trsm ( side, uplo, transA, diag, m, n, alpha, a, lda, b, ldb ) S, D, C, Z
Meaning of prefixes
S - float32 C - complex64
D - float64 Z - complex128
Matrix types
GE - GEneral GB - General Band
SY - SYmmetric SB - Symmetric Band SP - Symmetric Packed
HE - HErmitian HB - Hermitian Band HP - Hermitian Packed
TR - TRiangular TB - Triangular Band TP - Triangular Packed
Options
trans = NoTrans, Trans, ConjTrans
uplo = Upper, Lower
diag = Nonunit, Unit
side = Left, Right (A or op(A) on the left, or A or op(A) on the right)
For real matrices, Trans and ConjTrans have the same meaning.
For Hermitian matrices, trans = Trans is not allowed.
For complex symmetric matrices, trans = ConjTrans is not allowed.
*/
package blas // import "gonum.org/v1/gonum/blas"

314
vendor/gonum.org/v1/gonum/blas/gonum/dgemm.go generated vendored
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@@ -1,314 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"runtime"
"sync"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/f64"
)
// Dgemm performs one of the matrix-matrix operations
// C = alpha * A * B + beta * C
// C = alpha * A^T * B + beta * C
// C = alpha * A * B^T + beta * C
// C = alpha * A^T * B^T + beta * C
// where A is an m×k or k×m dense matrix, B is an n×k or k×n dense matrix, C is
// an m×n matrix, and alpha and beta are scalars. tA and tB specify whether A or
// B are transposed.
func (Implementation) Dgemm(tA, tB blas.Transpose, m, n, k int, alpha float64, a []float64, lda int, b []float64, ldb int, beta float64, c []float64, ldc int) {
switch tA {
default:
panic(badTranspose)
case blas.NoTrans, blas.Trans, blas.ConjTrans:
}
switch tB {
default:
panic(badTranspose)
case blas.NoTrans, blas.Trans, blas.ConjTrans:
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
if k < 0 {
panic(kLT0)
}
aTrans := tA == blas.Trans || tA == blas.ConjTrans
if aTrans {
if lda < max(1, m) {
panic(badLdA)
}
} else {
if lda < max(1, k) {
panic(badLdA)
}
}
bTrans := tB == blas.Trans || tB == blas.ConjTrans
if bTrans {
if ldb < max(1, k) {
panic(badLdB)
}
} else {
if ldb < max(1, n) {
panic(badLdB)
}
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if aTrans {
if len(a) < (k-1)*lda+m {
panic(shortA)
}
} else {
if len(a) < (m-1)*lda+k {
panic(shortA)
}
}
if bTrans {
if len(b) < (n-1)*ldb+k {
panic(shortB)
}
} else {
if len(b) < (k-1)*ldb+n {
panic(shortB)
}
}
if len(c) < (m-1)*ldc+n {
panic(shortC)
}
// Quick return if possible.
if (alpha == 0 || k == 0) && beta == 1 {
return
}
// scale c
if beta != 1 {
if beta == 0 {
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
} else {
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := range ctmp {
ctmp[j] *= beta
}
}
}
}
dgemmParallel(aTrans, bTrans, m, n, k, a, lda, b, ldb, c, ldc, alpha)
}
func dgemmParallel(aTrans, bTrans bool, m, n, k int, a []float64, lda int, b []float64, ldb int, c []float64, ldc int, alpha float64) {
// dgemmParallel computes a parallel matrix multiplication by partitioning
// a and b into sub-blocks, and updating c with the multiplication of the sub-block
// In all cases,
// A = [ A_11 A_12 ... A_1j
// A_21 A_22 ... A_2j
// ...
// A_i1 A_i2 ... A_ij]
//
// and same for B. All of the submatrix sizes are blockSize×blockSize except
// at the edges.
//
// In all cases, there is one dimension for each matrix along which
// C must be updated sequentially.
// Cij = \sum_k Aik Bki, (A * B)
// Cij = \sum_k Aki Bkj, (A^T * B)
// Cij = \sum_k Aik Bjk, (A * B^T)
// Cij = \sum_k Aki Bjk, (A^T * B^T)
//
// This code computes one {i, j} block sequentially along the k dimension,
// and computes all of the {i, j} blocks concurrently. This
// partitioning allows Cij to be updated in-place without race-conditions.
// Instead of launching a goroutine for each possible concurrent computation,
// a number of worker goroutines are created and channels are used to pass
// available and completed cases.
//
// http://alexkr.com/docs/matrixmult.pdf is a good reference on matrix-matrix
// multiplies, though this code does not copy matrices to attempt to eliminate
// cache misses.
maxKLen := k
parBlocks := blocks(m, blockSize) * blocks(n, blockSize)
if parBlocks < minParBlock {
// The matrix multiplication is small in the dimensions where it can be
// computed concurrently. Just do it in serial.
dgemmSerial(aTrans, bTrans, m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
}
nWorkers := runtime.GOMAXPROCS(0)
if parBlocks < nWorkers {
nWorkers = parBlocks
}
// There is a tradeoff between the workers having to wait for work
// and a large buffer making operations slow.
buf := buffMul * nWorkers
if buf > parBlocks {
buf = parBlocks
}
sendChan := make(chan subMul, buf)
// Launch workers. A worker receives an {i, j} submatrix of c, and computes
// A_ik B_ki (or the transposed version) storing the result in c_ij. When the
// channel is finally closed, it signals to the waitgroup that it has finished
// computing.
var wg sync.WaitGroup
for i := 0; i < nWorkers; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for sub := range sendChan {
i := sub.i
j := sub.j
leni := blockSize
if i+leni > m {
leni = m - i
}
lenj := blockSize
if j+lenj > n {
lenj = n - j
}
cSub := sliceView64(c, ldc, i, j, leni, lenj)
// Compute A_ik B_kj for all k
for k := 0; k < maxKLen; k += blockSize {
lenk := blockSize
if k+lenk > maxKLen {
lenk = maxKLen - k
}
var aSub, bSub []float64
if aTrans {
aSub = sliceView64(a, lda, k, i, lenk, leni)
} else {
aSub = sliceView64(a, lda, i, k, leni, lenk)
}
if bTrans {
bSub = sliceView64(b, ldb, j, k, lenj, lenk)
} else {
bSub = sliceView64(b, ldb, k, j, lenk, lenj)
}
dgemmSerial(aTrans, bTrans, leni, lenj, lenk, aSub, lda, bSub, ldb, cSub, ldc, alpha)
}
}
}()
}
// Send out all of the {i, j} subblocks for computation.
for i := 0; i < m; i += blockSize {
for j := 0; j < n; j += blockSize {
sendChan <- subMul{
i: i,
j: j,
}
}
}
close(sendChan)
wg.Wait()
}
// dgemmSerial is serial matrix multiply
func dgemmSerial(aTrans, bTrans bool, m, n, k int, a []float64, lda int, b []float64, ldb int, c []float64, ldc int, alpha float64) {
switch {
case !aTrans && !bTrans:
dgemmSerialNotNot(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
case aTrans && !bTrans:
dgemmSerialTransNot(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
case !aTrans && bTrans:
dgemmSerialNotTrans(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
case aTrans && bTrans:
dgemmSerialTransTrans(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
default:
panic("unreachable")
}
}
// dgemmSerial where neither a nor b are transposed
func dgemmSerialNotNot(m, n, k int, a []float64, lda int, b []float64, ldb int, c []float64, ldc int, alpha float64) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for l, v := range a[i*lda : i*lda+k] {
tmp := alpha * v
if tmp != 0 {
f64.AxpyUnitary(tmp, b[l*ldb:l*ldb+n], ctmp)
}
}
}
}
// dgemmSerial where neither a is transposed and b is not
func dgemmSerialTransNot(m, n, k int, a []float64, lda int, b []float64, ldb int, c []float64, ldc int, alpha float64) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for l := 0; l < k; l++ {
btmp := b[l*ldb : l*ldb+n]
for i, v := range a[l*lda : l*lda+m] {
tmp := alpha * v
if tmp != 0 {
ctmp := c[i*ldc : i*ldc+n]
f64.AxpyUnitary(tmp, btmp, ctmp)
}
}
}
}
// dgemmSerial where neither a is not transposed and b is
func dgemmSerialNotTrans(m, n, k int, a []float64, lda int, b []float64, ldb int, c []float64, ldc int, alpha float64) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for i := 0; i < m; i++ {
atmp := a[i*lda : i*lda+k]
ctmp := c[i*ldc : i*ldc+n]
for j := 0; j < n; j++ {
ctmp[j] += alpha * f64.DotUnitary(atmp, b[j*ldb:j*ldb+k])
}
}
}
// dgemmSerial where both are transposed
func dgemmSerialTransTrans(m, n, k int, a []float64, lda int, b []float64, ldb int, c []float64, ldc int, alpha float64) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for l := 0; l < k; l++ {
for i, v := range a[l*lda : l*lda+m] {
tmp := alpha * v
if tmp != 0 {
ctmp := c[i*ldc : i*ldc+n]
f64.AxpyInc(tmp, b[l:], ctmp, uintptr(n), uintptr(ldb), 1, 0, 0)
}
}
}
}
func sliceView64(a []float64, lda, i, j, r, c int) []float64 {
return a[i*lda+j : (i+r-1)*lda+j+c]
}

88
vendor/gonum.org/v1/gonum/blas/gonum/doc.go generated vendored
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// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Ensure changes made to blas/native are reflected in blas/cgo where relevant.
/*
Package gonum is a Go implementation of the BLAS API. This implementation
panics when the input arguments are invalid as per the standard, for example
if a vector increment is zero. Note that the treatment of NaN values
is not specified, and differs among the BLAS implementations.
gonum.org/v1/gonum/blas/blas64 provides helpful wrapper functions to the BLAS
interface. The rest of this text describes the layout of the data for the input types.
Note that in the function documentation, x[i] refers to the i^th element
of the vector, which will be different from the i^th element of the slice if
incX != 1.
See http://www.netlib.org/lapack/explore-html/d4/de1/_l_i_c_e_n_s_e_source.html
for more license information.
Vector arguments are effectively strided slices. They have two input arguments,
a number of elements, n, and an increment, incX. The increment specifies the
distance between elements of the vector. The actual Go slice may be longer
than necessary.
The increment may be positive or negative, except in functions with only
a single vector argument where the increment may only be positive. If the increment
is negative, s[0] is the last element in the slice. Note that this is not the same
as counting backward from the end of the slice, as len(s) may be longer than
necessary. So, for example, if n = 5 and incX = 3, the elements of s are
[0 * * 1 * * 2 * * 3 * * 4 * * * ...]
where ∗ elements are never accessed. If incX = -3, the same elements are
accessed, just in reverse order (4, 3, 2, 1, 0).
Dense matrices are specified by a number of rows, a number of columns, and a stride.
The stride specifies the number of entries in the slice between the first element
of successive rows. The stride must be at least as large as the number of columns
but may be longer.
[a00 ... a0n a0* ... a1stride-1 a21 ... amn am* ... amstride-1]
Thus, dense[i*ld + j] refers to the {i, j}th element of the matrix.
Symmetric and triangular matrices (non-packed) are stored identically to Dense,
except that only elements in one triangle of the matrix are accessed.
Packed symmetric and packed triangular matrices are laid out with the entries
condensed such that all of the unreferenced elements are removed. So, the upper triangular
matrix
[
1 2 3
0 4 5
0 0 6
]
and the lower-triangular matrix
[
1 0 0
2 3 0
4 5 6
]
will both be compacted as [1 2 3 4 5 6]. The (i, j) element of the original
dense matrix can be found at element i*n - (i-1)*i/2 + j for upper triangular,
and at element i * (i+1) /2 + j for lower triangular.
Banded matrices are laid out in a compact format, constructed by removing the
zeros in the rows and aligning the diagonals. For example, the matrix
[
1 2 3 0 0 0
4 5 6 7 0 0
0 8 9 10 11 0
0 0 12 13 14 15
0 0 0 16 17 18
0 0 0 0 19 20
]
implicitly becomes (∗ entries are never accessed)
[
* 1 2 3
4 5 6 7
8 9 10 11
12 13 14 15
16 17 18 *
19 20 * *
]
which is given to the BLAS routine as [∗ 1 2 3 4 ...].
See http://www.crest.iu.edu/research/mtl/reference/html/banded.html
for more information
*/
package gonum // import "gonum.org/v1/gonum/blas/gonum"

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vendor/gonum.org/v1/gonum/blas/gonum/errors.go generated vendored
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// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
// Panic strings used during parameter checks.
// This list is duplicated in netlib/blas/netlib. Keep in sync.
const (
zeroIncX = "blas: zero x index increment"
zeroIncY = "blas: zero y index increment"
mLT0 = "blas: m < 0"
nLT0 = "blas: n < 0"
kLT0 = "blas: k < 0"
kLLT0 = "blas: kL < 0"
kULT0 = "blas: kU < 0"
badUplo = "blas: illegal triangle"
badTranspose = "blas: illegal transpose"
badDiag = "blas: illegal diagonal"
badSide = "blas: illegal side"
badFlag = "blas: illegal rotm flag"
badLdA = "blas: bad leading dimension of A"
badLdB = "blas: bad leading dimension of B"
badLdC = "blas: bad leading dimension of C"
shortX = "blas: insufficient length of x"
shortY = "blas: insufficient length of y"
shortAP = "blas: insufficient length of ap"
shortA = "blas: insufficient length of a"
shortB = "blas: insufficient length of b"
shortC = "blas: insufficient length of c"
)

190
vendor/gonum.org/v1/gonum/blas/gonum/gemv.go generated vendored
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// Copyright ©2018 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/f32"
"gonum.org/v1/gonum/internal/asm/f64"
)
// TODO(Kunde21): Merge these methods back into level2double/level2single when Sgemv assembly kernels are merged into f32.
// Dgemv computes
// y = alpha * A * x + beta * y if tA = blas.NoTrans
// y = alpha * A^T * x + beta * y if tA = blas.Trans or blas.ConjTrans
// where A is an m×n dense matrix, x and y are vectors, and alpha and beta are scalars.
func (Implementation) Dgemv(tA blas.Transpose, m, n int, alpha float64, a []float64, lda int, x []float64, incX int, beta float64, y []float64, incY int) {
if tA != blas.NoTrans && tA != blas.Trans && tA != blas.ConjTrans {
panic(badTranspose)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
if lda < max(1, n) {
panic(badLdA)
}
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
// Set up indexes
lenX := m
lenY := n
if tA == blas.NoTrans {
lenX = n
lenY = m
}
// Quick return if possible
if m == 0 || n == 0 {
return
}
if (incX > 0 && (lenX-1)*incX >= len(x)) || (incX < 0 && (1-lenX)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (lenY-1)*incY >= len(y)) || (incY < 0 && (1-lenY)*incY >= len(y)) {
panic(shortY)
}
if len(a) < lda*(m-1)+n {
panic(shortA)
}
// Quick return if possible
if alpha == 0 && beta == 1 {
return
}
if alpha == 0 {
// First form y = beta * y
if incY > 0 {
Implementation{}.Dscal(lenY, beta, y, incY)
} else {
Implementation{}.Dscal(lenY, beta, y, -incY)
}
return
}
// Form y = alpha * A * x + y
if tA == blas.NoTrans {
f64.GemvN(uintptr(m), uintptr(n), alpha, a, uintptr(lda), x, uintptr(incX), beta, y, uintptr(incY))
return
}
// Cases where a is transposed.
f64.GemvT(uintptr(m), uintptr(n), alpha, a, uintptr(lda), x, uintptr(incX), beta, y, uintptr(incY))
}
// Sgemv computes
// y = alpha * A * x + beta * y if tA = blas.NoTrans
// y = alpha * A^T * x + beta * y if tA = blas.Trans or blas.ConjTrans
// where A is an m×n dense matrix, x and y are vectors, and alpha and beta are scalars.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Sgemv(tA blas.Transpose, m, n int, alpha float32, a []float32, lda int, x []float32, incX int, beta float32, y []float32, incY int) {
if tA != blas.NoTrans && tA != blas.Trans && tA != blas.ConjTrans {
panic(badTranspose)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
if lda < max(1, n) {
panic(badLdA)
}
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// Set up indexes
lenX := m
lenY := n
if tA == blas.NoTrans {
lenX = n
lenY = m
}
if (incX > 0 && (lenX-1)*incX >= len(x)) || (incX < 0 && (1-lenX)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (lenY-1)*incY >= len(y)) || (incY < 0 && (1-lenY)*incY >= len(y)) {
panic(shortY)
}
if len(a) < lda*(m-1)+n {
panic(shortA)
}
// Quick return if possible.
if alpha == 0 && beta == 1 {
return
}
// First form y = beta * y
if incY > 0 {
Implementation{}.Sscal(lenY, beta, y, incY)
} else {
Implementation{}.Sscal(lenY, beta, y, -incY)
}
if alpha == 0 {
return
}
var kx, ky int
if incX < 0 {
kx = -(lenX - 1) * incX
}
if incY < 0 {
ky = -(lenY - 1) * incY
}
// Form y = alpha * A * x + y
if tA == blas.NoTrans {
if incX == 1 && incY == 1 {
for i := 0; i < m; i++ {
y[i] += alpha * f32.DotUnitary(a[lda*i:lda*i+n], x[:n])
}
return
}
iy := ky
for i := 0; i < m; i++ {
y[iy] += alpha * f32.DotInc(x, a[lda*i:lda*i+n], uintptr(n), uintptr(incX), 1, uintptr(kx), 0)
iy += incY
}
return
}
// Cases where a is transposed.
if incX == 1 && incY == 1 {
for i := 0; i < m; i++ {
tmp := alpha * x[i]
if tmp != 0 {
f32.AxpyUnitaryTo(y, tmp, a[lda*i:lda*i+n], y[:n])
}
}
return
}
ix := kx
for i := 0; i < m; i++ {
tmp := alpha * x[ix]
if tmp != 0 {
f32.AxpyInc(tmp, a[lda*i:lda*i+n], y, uintptr(n), 1, uintptr(incY), 0, uintptr(ky))
}
ix += incX
}
}

58
vendor/gonum.org/v1/gonum/blas/gonum/gonum.go generated vendored
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// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
//go:generate ./single_precision.bash
package gonum
import (
"math"
"gonum.org/v1/gonum/internal/math32"
)
type Implementation struct{}
// [SD]gemm behavior constants. These are kept here to keep them out of the
// way during single precision code genration.
const (
blockSize = 64 // b x b matrix
minParBlock = 4 // minimum number of blocks needed to go parallel
buffMul = 4 // how big is the buffer relative to the number of workers
)
// subMul is a common type shared by [SD]gemm.
type subMul struct {
i, j int // index of block
}
func max(a, b int) int {
if a > b {
return a
}
return b
}
func min(a, b int) int {
if a > b {
return b
}
return a
}
// blocks returns the number of divisions of the dimension length with the given
// block size.
func blocks(dim, bsize int) int {
return (dim + bsize - 1) / bsize
}
// dcabs1 returns |real(z)|+|imag(z)|.
func dcabs1(z complex128) float64 {
return math.Abs(real(z)) + math.Abs(imag(z))
}
// scabs1 returns |real(z)|+|imag(z)|.
func scabs1(z complex64) float32 {
return math32.Abs(real(z)) + math32.Abs(imag(z))
}

445
vendor/gonum.org/v1/gonum/blas/gonum/level1cmplx128.go generated vendored
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@@ -1,445 +0,0 @@
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"math"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/c128"
)
var _ blas.Complex128Level1 = Implementation{}
// Dzasum returns the sum of the absolute values of the elements of x
// \sum_i |Re(x[i])| + |Im(x[i])|
// Dzasum returns 0 if incX is negative.
func (Implementation) Dzasum(n int, x []complex128, incX int) float64 {
if n < 0 {
panic(nLT0)
}
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
var sum float64
if incX == 1 {
if len(x) < n {
panic(shortX)
}
for _, v := range x[:n] {
sum += dcabs1(v)
}
return sum
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
for i := 0; i < n; i++ {
v := x[i*incX]
sum += dcabs1(v)
}
return sum
}
// Dznrm2 computes the Euclidean norm of the complex vector x,
// ‖x‖_2 = sqrt(\sum_i x[i] * conj(x[i])).
// This function returns 0 if incX is negative.
func (Implementation) Dznrm2(n int, x []complex128, incX int) float64 {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
if n < 1 {
if n == 0 {
return 0
}
panic(nLT0)
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
var (
scale float64
ssq float64 = 1
)
if incX == 1 {
for _, v := range x[:n] {
re, im := math.Abs(real(v)), math.Abs(imag(v))
if re != 0 {
if re > scale {
ssq = 1 + ssq*(scale/re)*(scale/re)
scale = re
} else {
ssq += (re / scale) * (re / scale)
}
}
if im != 0 {
if im > scale {
ssq = 1 + ssq*(scale/im)*(scale/im)
scale = im
} else {
ssq += (im / scale) * (im / scale)
}
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(ssq)
}
for ix := 0; ix < n*incX; ix += incX {
re, im := math.Abs(real(x[ix])), math.Abs(imag(x[ix]))
if re != 0 {
if re > scale {
ssq = 1 + ssq*(scale/re)*(scale/re)
scale = re
} else {
ssq += (re / scale) * (re / scale)
}
}
if im != 0 {
if im > scale {
ssq = 1 + ssq*(scale/im)*(scale/im)
scale = im
} else {
ssq += (im / scale) * (im / scale)
}
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(ssq)
}
// Izamax returns the index of the first element of x having largest |Re(·)|+|Im(·)|.
// Izamax returns -1 if n is 0 or incX is negative.
func (Implementation) Izamax(n int, x []complex128, incX int) int {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
// Return invalid index.
return -1
}
if n < 1 {
if n == 0 {
// Return invalid index.
return -1
}
panic(nLT0)
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
idx := 0
max := dcabs1(x[0])
if incX == 1 {
for i, v := range x[1:n] {
absV := dcabs1(v)
if absV > max {
max = absV
idx = i + 1
}
}
return idx
}
ix := incX
for i := 1; i < n; i++ {
absV := dcabs1(x[ix])
if absV > max {
max = absV
idx = i
}
ix += incX
}
return idx
}
// Zaxpy adds alpha times x to y:
// y[i] += alpha * x[i] for all i
func (Implementation) Zaxpy(n int, alpha complex128, x []complex128, incX int, y []complex128, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && (n-1)*incX >= len(x)) || (incX < 0 && (1-n)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (n-1)*incY >= len(y)) || (incY < 0 && (1-n)*incY >= len(y)) {
panic(shortY)
}
if alpha == 0 {
return
}
if incX == 1 && incY == 1 {
c128.AxpyUnitary(alpha, x[:n], y[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (1 - n) * incX
}
if incY < 0 {
iy = (1 - n) * incY
}
c128.AxpyInc(alpha, x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Zcopy copies the vector x to vector y.
func (Implementation) Zcopy(n int, x []complex128, incX int, y []complex128, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && (n-1)*incX >= len(x)) || (incX < 0 && (1-n)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (n-1)*incY >= len(y)) || (incY < 0 && (1-n)*incY >= len(y)) {
panic(shortY)
}
if incX == 1 && incY == 1 {
copy(y[:n], x[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
y[iy] = x[ix]
ix += incX
iy += incY
}
}
// Zdotc computes the dot product
// x^H · y
// of two complex vectors x and y.
func (Implementation) Zdotc(n int, x []complex128, incX int, y []complex128, incY int) complex128 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return c128.DotcUnitary(x[:n], y[:n])
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || (n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || (n-1)*incY >= len(y) {
panic(shortY)
}
return c128.DotcInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Zdotu computes the dot product
// x^T · y
// of two complex vectors x and y.
func (Implementation) Zdotu(n int, x []complex128, incX int, y []complex128, incY int) complex128 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return c128.DotuUnitary(x[:n], y[:n])
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || (n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || (n-1)*incY >= len(y) {
panic(shortY)
}
return c128.DotuInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Zdscal scales the vector x by a real scalar alpha.
// Zdscal has no effect if incX < 0.
func (Implementation) Zdscal(n int, alpha float64, x []complex128, incX int) {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if alpha == 0 {
if incX == 1 {
x = x[:n]
for i := range x {
x[i] = 0
}
return
}
for ix := 0; ix < n*incX; ix += incX {
x[ix] = 0
}
return
}
if incX == 1 {
x = x[:n]
for i, v := range x {
x[i] = complex(alpha*real(v), alpha*imag(v))
}
return
}
for ix := 0; ix < n*incX; ix += incX {
v := x[ix]
x[ix] = complex(alpha*real(v), alpha*imag(v))
}
}
// Zscal scales the vector x by a complex scalar alpha.
// Zscal has no effect if incX < 0.
func (Implementation) Zscal(n int, alpha complex128, x []complex128, incX int) {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if alpha == 0 {
if incX == 1 {
x = x[:n]
for i := range x {
x[i] = 0
}
return
}
for ix := 0; ix < n*incX; ix += incX {
x[ix] = 0
}
return
}
if incX == 1 {
c128.ScalUnitary(alpha, x[:n])
return
}
c128.ScalInc(alpha, x, uintptr(n), uintptr(incX))
}
// Zswap exchanges the elements of two complex vectors x and y.
func (Implementation) Zswap(n int, x []complex128, incX int, y []complex128, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && (n-1)*incX >= len(x)) || (incX < 0 && (1-n)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (n-1)*incY >= len(y)) || (incY < 0 && (1-n)*incY >= len(y)) {
panic(shortY)
}
if incX == 1 && incY == 1 {
x = x[:n]
for i, v := range x {
x[i], y[i] = y[i], v
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
x[ix], y[iy] = y[iy], x[ix]
ix += incX
iy += incY
}
}

467
vendor/gonum.org/v1/gonum/blas/gonum/level1cmplx64.go generated vendored
View File

@@ -1,467 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
math "gonum.org/v1/gonum/internal/math32"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/c64"
)
var _ blas.Complex64Level1 = Implementation{}
// Scasum returns the sum of the absolute values of the elements of x
// \sum_i |Re(x[i])| + |Im(x[i])|
// Scasum returns 0 if incX is negative.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Scasum(n int, x []complex64, incX int) float32 {
if n < 0 {
panic(nLT0)
}
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
var sum float32
if incX == 1 {
if len(x) < n {
panic(shortX)
}
for _, v := range x[:n] {
sum += scabs1(v)
}
return sum
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
for i := 0; i < n; i++ {
v := x[i*incX]
sum += scabs1(v)
}
return sum
}
// Scnrm2 computes the Euclidean norm of the complex vector x,
// ‖x‖_2 = sqrt(\sum_i x[i] * conj(x[i])).
// This function returns 0 if incX is negative.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Scnrm2(n int, x []complex64, incX int) float32 {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
if n < 1 {
if n == 0 {
return 0
}
panic(nLT0)
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
var (
scale float32
ssq float32 = 1
)
if incX == 1 {
for _, v := range x[:n] {
re, im := math.Abs(real(v)), math.Abs(imag(v))
if re != 0 {
if re > scale {
ssq = 1 + ssq*(scale/re)*(scale/re)
scale = re
} else {
ssq += (re / scale) * (re / scale)
}
}
if im != 0 {
if im > scale {
ssq = 1 + ssq*(scale/im)*(scale/im)
scale = im
} else {
ssq += (im / scale) * (im / scale)
}
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(ssq)
}
for ix := 0; ix < n*incX; ix += incX {
re, im := math.Abs(real(x[ix])), math.Abs(imag(x[ix]))
if re != 0 {
if re > scale {
ssq = 1 + ssq*(scale/re)*(scale/re)
scale = re
} else {
ssq += (re / scale) * (re / scale)
}
}
if im != 0 {
if im > scale {
ssq = 1 + ssq*(scale/im)*(scale/im)
scale = im
} else {
ssq += (im / scale) * (im / scale)
}
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(ssq)
}
// Icamax returns the index of the first element of x having largest |Re(·)|+|Im(·)|.
// Icamax returns -1 if n is 0 or incX is negative.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Icamax(n int, x []complex64, incX int) int {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
// Return invalid index.
return -1
}
if n < 1 {
if n == 0 {
// Return invalid index.
return -1
}
panic(nLT0)
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
idx := 0
max := scabs1(x[0])
if incX == 1 {
for i, v := range x[1:n] {
absV := scabs1(v)
if absV > max {
max = absV
idx = i + 1
}
}
return idx
}
ix := incX
for i := 1; i < n; i++ {
absV := scabs1(x[ix])
if absV > max {
max = absV
idx = i
}
ix += incX
}
return idx
}
// Caxpy adds alpha times x to y:
// y[i] += alpha * x[i] for all i
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Caxpy(n int, alpha complex64, x []complex64, incX int, y []complex64, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && (n-1)*incX >= len(x)) || (incX < 0 && (1-n)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (n-1)*incY >= len(y)) || (incY < 0 && (1-n)*incY >= len(y)) {
panic(shortY)
}
if alpha == 0 {
return
}
if incX == 1 && incY == 1 {
c64.AxpyUnitary(alpha, x[:n], y[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (1 - n) * incX
}
if incY < 0 {
iy = (1 - n) * incY
}
c64.AxpyInc(alpha, x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Ccopy copies the vector x to vector y.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Ccopy(n int, x []complex64, incX int, y []complex64, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && (n-1)*incX >= len(x)) || (incX < 0 && (1-n)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (n-1)*incY >= len(y)) || (incY < 0 && (1-n)*incY >= len(y)) {
panic(shortY)
}
if incX == 1 && incY == 1 {
copy(y[:n], x[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
y[iy] = x[ix]
ix += incX
iy += incY
}
}
// Cdotc computes the dot product
// x^H · y
// of two complex vectors x and y.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Cdotc(n int, x []complex64, incX int, y []complex64, incY int) complex64 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return c64.DotcUnitary(x[:n], y[:n])
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || (n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || (n-1)*incY >= len(y) {
panic(shortY)
}
return c64.DotcInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Cdotu computes the dot product
// x^T · y
// of two complex vectors x and y.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Cdotu(n int, x []complex64, incX int, y []complex64, incY int) complex64 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return c64.DotuUnitary(x[:n], y[:n])
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || (n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || (n-1)*incY >= len(y) {
panic(shortY)
}
return c64.DotuInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Csscal scales the vector x by a real scalar alpha.
// Csscal has no effect if incX < 0.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Csscal(n int, alpha float32, x []complex64, incX int) {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if alpha == 0 {
if incX == 1 {
x = x[:n]
for i := range x {
x[i] = 0
}
return
}
for ix := 0; ix < n*incX; ix += incX {
x[ix] = 0
}
return
}
if incX == 1 {
x = x[:n]
for i, v := range x {
x[i] = complex(alpha*real(v), alpha*imag(v))
}
return
}
for ix := 0; ix < n*incX; ix += incX {
v := x[ix]
x[ix] = complex(alpha*real(v), alpha*imag(v))
}
}
// Cscal scales the vector x by a complex scalar alpha.
// Cscal has no effect if incX < 0.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Cscal(n int, alpha complex64, x []complex64, incX int) {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if alpha == 0 {
if incX == 1 {
x = x[:n]
for i := range x {
x[i] = 0
}
return
}
for ix := 0; ix < n*incX; ix += incX {
x[ix] = 0
}
return
}
if incX == 1 {
c64.ScalUnitary(alpha, x[:n])
return
}
c64.ScalInc(alpha, x, uintptr(n), uintptr(incX))
}
// Cswap exchanges the elements of two complex vectors x and y.
//
// Complex64 implementations are autogenerated and not directly tested.
func (Implementation) Cswap(n int, x []complex64, incX int, y []complex64, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && (n-1)*incX >= len(x)) || (incX < 0 && (1-n)*incX >= len(x)) {
panic(shortX)
}
if (incY > 0 && (n-1)*incY >= len(y)) || (incY < 0 && (1-n)*incY >= len(y)) {
panic(shortY)
}
if incX == 1 && incY == 1 {
x = x[:n]
for i, v := range x {
x[i], y[i] = y[i], v
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
x[ix], y[iy] = y[iy], x[ix]
ix += incX
iy += incY
}
}

644
vendor/gonum.org/v1/gonum/blas/gonum/level1float32.go generated vendored
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@@ -1,644 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
math "gonum.org/v1/gonum/internal/math32"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/f32"
)
var _ blas.Float32Level1 = Implementation{}
// Snrm2 computes the Euclidean norm of a vector,
// sqrt(\sum_i x[i] * x[i]).
// This function returns 0 if incX is negative.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Snrm2(n int, x []float32, incX int) float32 {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
if n < 2 {
if n == 1 {
return math.Abs(x[0])
}
if n == 0 {
return 0
}
panic(nLT0)
}
var (
scale float32 = 0
sumSquares float32 = 1
)
if incX == 1 {
x = x[:n]
for _, v := range x {
if v == 0 {
continue
}
absxi := math.Abs(v)
if math.IsNaN(absxi) {
return math.NaN()
}
if scale < absxi {
sumSquares = 1 + sumSquares*(scale/absxi)*(scale/absxi)
scale = absxi
} else {
sumSquares = sumSquares + (absxi/scale)*(absxi/scale)
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(sumSquares)
}
for ix := 0; ix < n*incX; ix += incX {
val := x[ix]
if val == 0 {
continue
}
absxi := math.Abs(val)
if math.IsNaN(absxi) {
return math.NaN()
}
if scale < absxi {
sumSquares = 1 + sumSquares*(scale/absxi)*(scale/absxi)
scale = absxi
} else {
sumSquares = sumSquares + (absxi/scale)*(absxi/scale)
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(sumSquares)
}
// Sasum computes the sum of the absolute values of the elements of x.
// \sum_i |x[i]|
// Sasum returns 0 if incX is negative.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Sasum(n int, x []float32, incX int) float32 {
var sum float32
if n < 0 {
panic(nLT0)
}
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
if incX == 1 {
x = x[:n]
for _, v := range x {
sum += math.Abs(v)
}
return sum
}
for i := 0; i < n; i++ {
sum += math.Abs(x[i*incX])
}
return sum
}
// Isamax returns the index of an element of x with the largest absolute value.
// If there are multiple such indices the earliest is returned.
// Isamax returns -1 if n == 0.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Isamax(n int, x []float32, incX int) int {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return -1
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
if n < 2 {
if n == 1 {
return 0
}
if n == 0 {
return -1 // Netlib returns invalid index when n == 0.
}
panic(nLT0)
}
idx := 0
max := math.Abs(x[0])
if incX == 1 {
for i, v := range x[:n] {
absV := math.Abs(v)
if absV > max {
max = absV
idx = i
}
}
return idx
}
ix := incX
for i := 1; i < n; i++ {
v := x[ix]
absV := math.Abs(v)
if absV > max {
max = absV
idx = i
}
ix += incX
}
return idx
}
// Sswap exchanges the elements of two vectors.
// x[i], y[i] = y[i], x[i] for all i
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Sswap(n int, x []float32, incX int, y []float32, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if incX == 1 && incY == 1 {
x = x[:n]
for i, v := range x {
x[i], y[i] = y[i], v
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
x[ix], y[iy] = y[iy], x[ix]
ix += incX
iy += incY
}
}
// Scopy copies the elements of x into the elements of y.
// y[i] = x[i] for all i
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Scopy(n int, x []float32, incX int, y []float32, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if incX == 1 && incY == 1 {
copy(y[:n], x[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
y[iy] = x[ix]
ix += incX
iy += incY
}
}
// Saxpy adds alpha times x to y
// y[i] += alpha * x[i] for all i
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Saxpy(n int, alpha float32, x []float32, incX int, y []float32, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if alpha == 0 {
return
}
if incX == 1 && incY == 1 {
f32.AxpyUnitary(alpha, x[:n], y[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
f32.AxpyInc(alpha, x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Srotg computes the plane rotation
// _ _ _ _ _ _
// | c s | | a | | r |
// | -s c | * | b | = | 0 |
// ‾ ‾ ‾ ‾ ‾ ‾
// where
// r = ±√(a^2 + b^2)
// c = a/r, the cosine of the plane rotation
// s = b/r, the sine of the plane rotation
//
// NOTE: There is a discrepancy between the reference implementation and the BLAS
// technical manual regarding the sign for r when a or b are zero.
// Srotg agrees with the definition in the manual and other
// common BLAS implementations.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Srotg(a, b float32) (c, s, r, z float32) {
if b == 0 && a == 0 {
return 1, 0, a, 0
}
absA := math.Abs(a)
absB := math.Abs(b)
aGTb := absA > absB
r = math.Hypot(a, b)
if aGTb {
r = math.Copysign(r, a)
} else {
r = math.Copysign(r, b)
}
c = a / r
s = b / r
if aGTb {
z = s
} else if c != 0 { // r == 0 case handled above
z = 1 / c
} else {
z = 1
}
return
}
// Srotmg computes the modified Givens rotation. See
// http://www.netlib.org/lapack/explore-html/df/deb/drotmg_8f.html
// for more details.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Srotmg(d1, d2, x1, y1 float32) (p blas.SrotmParams, rd1, rd2, rx1 float32) {
// The implementation of Drotmg used here is taken from Hopkins 1997
// Appendix A: https://doi.org/10.1145/289251.289253
// with the exception of the gam constants below.
const (
gam = 4096.0
gamsq = gam * gam
rgamsq = 1.0 / gamsq
)
if d1 < 0 {
p.Flag = blas.Rescaling // Error state.
return p, 0, 0, 0
}
if d2 == 0 || y1 == 0 {
p.Flag = blas.Identity
return p, d1, d2, x1
}
var h11, h12, h21, h22 float32
if (d1 == 0 || x1 == 0) && d2 > 0 {
p.Flag = blas.Diagonal
h12 = 1
h21 = -1
x1 = y1
d1, d2 = d2, d1
} else {
p2 := d2 * y1
p1 := d1 * x1
q2 := p2 * y1
q1 := p1 * x1
if math.Abs(q1) > math.Abs(q2) {
p.Flag = blas.OffDiagonal
h11 = 1
h22 = 1
h21 = -y1 / x1
h12 = p2 / p1
u := 1 - h12*h21
if u <= 0 {
p.Flag = blas.Rescaling // Error state.
return p, 0, 0, 0
}
d1 /= u
d2 /= u
x1 *= u
} else {
if q2 < 0 {
p.Flag = blas.Rescaling // Error state.
return p, 0, 0, 0
}
p.Flag = blas.Diagonal
h21 = -1
h12 = 1
h11 = p1 / p2
h22 = x1 / y1
u := 1 + h11*h22
d1, d2 = d2/u, d1/u
x1 = y1 * u
}
}
for d1 <= rgamsq && d1 != 0 {
p.Flag = blas.Rescaling
d1 = (d1 * gam) * gam
x1 /= gam
h11 /= gam
h12 /= gam
}
for d1 > gamsq {
p.Flag = blas.Rescaling
d1 = (d1 / gam) / gam
x1 *= gam
h11 *= gam
h12 *= gam
}
for math.Abs(d2) <= rgamsq && d2 != 0 {
p.Flag = blas.Rescaling
d2 = (d2 * gam) * gam
h21 /= gam
h22 /= gam
}
for math.Abs(d2) > gamsq {
p.Flag = blas.Rescaling
d2 = (d2 / gam) / gam
h21 *= gam
h22 *= gam
}
switch p.Flag {
case blas.Diagonal:
p.H = [4]float32{0: h11, 3: h22}
case blas.OffDiagonal:
p.H = [4]float32{1: h21, 2: h12}
case blas.Rescaling:
p.H = [4]float32{h11, h21, h12, h22}
default:
panic(badFlag)
}
return p, d1, d2, x1
}
// Srot applies a plane transformation.
// x[i] = c * x[i] + s * y[i]
// y[i] = c * y[i] - s * x[i]
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Srot(n int, x []float32, incX int, y []float32, incY int, c float32, s float32) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = c*vx+s*vy, c*vy-s*vx
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = c*vx+s*vy, c*vy-s*vx
ix += incX
iy += incY
}
}
// Srotm applies the modified Givens rotation to the 2×n matrix.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Srotm(n int, x []float32, incX int, y []float32, incY int, p blas.SrotmParams) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if p.Flag == blas.Identity {
return
}
switch p.Flag {
case blas.Rescaling:
h11 := p.H[0]
h12 := p.H[2]
h21 := p.H[1]
h22 := p.H[3]
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = vx*h11+vy*h12, vx*h21+vy*h22
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = vx*h11+vy*h12, vx*h21+vy*h22
ix += incX
iy += incY
}
case blas.OffDiagonal:
h12 := p.H[2]
h21 := p.H[1]
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = vx+vy*h12, vx*h21+vy
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = vx+vy*h12, vx*h21+vy
ix += incX
iy += incY
}
case blas.Diagonal:
h11 := p.H[0]
h22 := p.H[3]
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = vx*h11+vy, -vx+vy*h22
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = vx*h11+vy, -vx+vy*h22
ix += incX
iy += incY
}
}
}
// Sscal scales x by alpha.
// x[i] *= alpha
// Sscal has no effect if incX < 0.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Sscal(n int, alpha float32, x []float32, incX int) {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
if alpha == 0 {
if incX == 1 {
x = x[:n]
for i := range x {
x[i] = 0
}
return
}
for ix := 0; ix < n*incX; ix += incX {
x[ix] = 0
}
return
}
if incX == 1 {
f32.ScalUnitary(alpha, x[:n])
return
}
f32.ScalInc(alpha, x, uintptr(n), uintptr(incX))
}

53
vendor/gonum.org/v1/gonum/blas/gonum/level1float32_dsdot.go generated vendored
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@@ -1,53 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"gonum.org/v1/gonum/internal/asm/f32"
)
// Dsdot computes the dot product of the two vectors
// \sum_i x[i]*y[i]
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Dsdot(n int, x []float32, incX int, y []float32, incY int) float64 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return f32.DdotUnitary(x[:n], y[:n])
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || ix+(n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || iy+(n-1)*incY >= len(y) {
panic(shortY)
}
return f32.DdotInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}

53
vendor/gonum.org/v1/gonum/blas/gonum/level1float32_sdot.go generated vendored
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@@ -1,53 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"gonum.org/v1/gonum/internal/asm/f32"
)
// Sdot computes the dot product of the two vectors
// \sum_i x[i]*y[i]
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Sdot(n int, x []float32, incX int, y []float32, incY int) float32 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return f32.DotUnitary(x[:n], y[:n])
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || ix+(n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || iy+(n-1)*incY >= len(y) {
panic(shortY)
}
return f32.DotInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}

53
vendor/gonum.org/v1/gonum/blas/gonum/level1float32_sdsdot.go generated vendored
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@@ -1,53 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"gonum.org/v1/gonum/internal/asm/f32"
)
// Sdsdot computes the dot product of the two vectors plus a constant
// alpha + \sum_i x[i]*y[i]
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Sdsdot(n int, alpha float32, x []float32, incX int, y []float32, incY int) float32 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return alpha + float32(f32.DdotUnitary(x[:n], y[:n]))
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || ix+(n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || iy+(n-1)*incY >= len(y) {
panic(shortY)
}
return alpha + float32(f32.DdotInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy)))
}

620
vendor/gonum.org/v1/gonum/blas/gonum/level1float64.go generated vendored
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@@ -1,620 +0,0 @@
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"math"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/f64"
)
var _ blas.Float64Level1 = Implementation{}
// Dnrm2 computes the Euclidean norm of a vector,
// sqrt(\sum_i x[i] * x[i]).
// This function returns 0 if incX is negative.
func (Implementation) Dnrm2(n int, x []float64, incX int) float64 {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
if n < 2 {
if n == 1 {
return math.Abs(x[0])
}
if n == 0 {
return 0
}
panic(nLT0)
}
var (
scale float64 = 0
sumSquares float64 = 1
)
if incX == 1 {
x = x[:n]
for _, v := range x {
if v == 0 {
continue
}
absxi := math.Abs(v)
if math.IsNaN(absxi) {
return math.NaN()
}
if scale < absxi {
sumSquares = 1 + sumSquares*(scale/absxi)*(scale/absxi)
scale = absxi
} else {
sumSquares = sumSquares + (absxi/scale)*(absxi/scale)
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(sumSquares)
}
for ix := 0; ix < n*incX; ix += incX {
val := x[ix]
if val == 0 {
continue
}
absxi := math.Abs(val)
if math.IsNaN(absxi) {
return math.NaN()
}
if scale < absxi {
sumSquares = 1 + sumSquares*(scale/absxi)*(scale/absxi)
scale = absxi
} else {
sumSquares = sumSquares + (absxi/scale)*(absxi/scale)
}
}
if math.IsInf(scale, 1) {
return math.Inf(1)
}
return scale * math.Sqrt(sumSquares)
}
// Dasum computes the sum of the absolute values of the elements of x.
// \sum_i |x[i]|
// Dasum returns 0 if incX is negative.
func (Implementation) Dasum(n int, x []float64, incX int) float64 {
var sum float64
if n < 0 {
panic(nLT0)
}
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return 0
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
if incX == 1 {
x = x[:n]
for _, v := range x {
sum += math.Abs(v)
}
return sum
}
for i := 0; i < n; i++ {
sum += math.Abs(x[i*incX])
}
return sum
}
// Idamax returns the index of an element of x with the largest absolute value.
// If there are multiple such indices the earliest is returned.
// Idamax returns -1 if n == 0.
func (Implementation) Idamax(n int, x []float64, incX int) int {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return -1
}
if len(x) <= (n-1)*incX {
panic(shortX)
}
if n < 2 {
if n == 1 {
return 0
}
if n == 0 {
return -1 // Netlib returns invalid index when n == 0.
}
panic(nLT0)
}
idx := 0
max := math.Abs(x[0])
if incX == 1 {
for i, v := range x[:n] {
absV := math.Abs(v)
if absV > max {
max = absV
idx = i
}
}
return idx
}
ix := incX
for i := 1; i < n; i++ {
v := x[ix]
absV := math.Abs(v)
if absV > max {
max = absV
idx = i
}
ix += incX
}
return idx
}
// Dswap exchanges the elements of two vectors.
// x[i], y[i] = y[i], x[i] for all i
func (Implementation) Dswap(n int, x []float64, incX int, y []float64, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if incX == 1 && incY == 1 {
x = x[:n]
for i, v := range x {
x[i], y[i] = y[i], v
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
x[ix], y[iy] = y[iy], x[ix]
ix += incX
iy += incY
}
}
// Dcopy copies the elements of x into the elements of y.
// y[i] = x[i] for all i
func (Implementation) Dcopy(n int, x []float64, incX int, y []float64, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if incX == 1 && incY == 1 {
copy(y[:n], x[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
y[iy] = x[ix]
ix += incX
iy += incY
}
}
// Daxpy adds alpha times x to y
// y[i] += alpha * x[i] for all i
func (Implementation) Daxpy(n int, alpha float64, x []float64, incX int, y []float64, incY int) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if alpha == 0 {
return
}
if incX == 1 && incY == 1 {
f64.AxpyUnitary(alpha, x[:n], y[:n])
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
f64.AxpyInc(alpha, x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}
// Drotg computes the plane rotation
// _ _ _ _ _ _
// | c s | | a | | r |
// | -s c | * | b | = | 0 |
// ‾ ‾ ‾ ‾ ‾ ‾
// where
// r = ±√(a^2 + b^2)
// c = a/r, the cosine of the plane rotation
// s = b/r, the sine of the plane rotation
//
// NOTE: There is a discrepancy between the reference implementation and the BLAS
// technical manual regarding the sign for r when a or b are zero.
// Drotg agrees with the definition in the manual and other
// common BLAS implementations.
func (Implementation) Drotg(a, b float64) (c, s, r, z float64) {
if b == 0 && a == 0 {
return 1, 0, a, 0
}
absA := math.Abs(a)
absB := math.Abs(b)
aGTb := absA > absB
r = math.Hypot(a, b)
if aGTb {
r = math.Copysign(r, a)
} else {
r = math.Copysign(r, b)
}
c = a / r
s = b / r
if aGTb {
z = s
} else if c != 0 { // r == 0 case handled above
z = 1 / c
} else {
z = 1
}
return
}
// Drotmg computes the modified Givens rotation. See
// http://www.netlib.org/lapack/explore-html/df/deb/drotmg_8f.html
// for more details.
func (Implementation) Drotmg(d1, d2, x1, y1 float64) (p blas.DrotmParams, rd1, rd2, rx1 float64) {
// The implementation of Drotmg used here is taken from Hopkins 1997
// Appendix A: https://doi.org/10.1145/289251.289253
// with the exception of the gam constants below.
const (
gam = 4096.0
gamsq = gam * gam
rgamsq = 1.0 / gamsq
)
if d1 < 0 {
p.Flag = blas.Rescaling // Error state.
return p, 0, 0, 0
}
if d2 == 0 || y1 == 0 {
p.Flag = blas.Identity
return p, d1, d2, x1
}
var h11, h12, h21, h22 float64
if (d1 == 0 || x1 == 0) && d2 > 0 {
p.Flag = blas.Diagonal
h12 = 1
h21 = -1
x1 = y1
d1, d2 = d2, d1
} else {
p2 := d2 * y1
p1 := d1 * x1
q2 := p2 * y1
q1 := p1 * x1
if math.Abs(q1) > math.Abs(q2) {
p.Flag = blas.OffDiagonal
h11 = 1
h22 = 1
h21 = -y1 / x1
h12 = p2 / p1
u := 1 - h12*h21
if u <= 0 {
p.Flag = blas.Rescaling // Error state.
return p, 0, 0, 0
}
d1 /= u
d2 /= u
x1 *= u
} else {
if q2 < 0 {
p.Flag = blas.Rescaling // Error state.
return p, 0, 0, 0
}
p.Flag = blas.Diagonal
h21 = -1
h12 = 1
h11 = p1 / p2
h22 = x1 / y1
u := 1 + h11*h22
d1, d2 = d2/u, d1/u
x1 = y1 * u
}
}
for d1 <= rgamsq && d1 != 0 {
p.Flag = blas.Rescaling
d1 = (d1 * gam) * gam
x1 /= gam
h11 /= gam
h12 /= gam
}
for d1 > gamsq {
p.Flag = blas.Rescaling
d1 = (d1 / gam) / gam
x1 *= gam
h11 *= gam
h12 *= gam
}
for math.Abs(d2) <= rgamsq && d2 != 0 {
p.Flag = blas.Rescaling
d2 = (d2 * gam) * gam
h21 /= gam
h22 /= gam
}
for math.Abs(d2) > gamsq {
p.Flag = blas.Rescaling
d2 = (d2 / gam) / gam
h21 *= gam
h22 *= gam
}
switch p.Flag {
case blas.Diagonal:
p.H = [4]float64{0: h11, 3: h22}
case blas.OffDiagonal:
p.H = [4]float64{1: h21, 2: h12}
case blas.Rescaling:
p.H = [4]float64{h11, h21, h12, h22}
default:
panic(badFlag)
}
return p, d1, d2, x1
}
// Drot applies a plane transformation.
// x[i] = c * x[i] + s * y[i]
// y[i] = c * y[i] - s * x[i]
func (Implementation) Drot(n int, x []float64, incX int, y []float64, incY int, c float64, s float64) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = c*vx+s*vy, c*vy-s*vx
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = c*vx+s*vy, c*vy-s*vx
ix += incX
iy += incY
}
}
// Drotm applies the modified Givens rotation to the 2×n matrix.
func (Implementation) Drotm(n int, x []float64, incX int, y []float64, incY int, p blas.DrotmParams) {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return
}
panic(nLT0)
}
if (incX > 0 && len(x) <= (n-1)*incX) || (incX < 0 && len(x) <= (1-n)*incX) {
panic(shortX)
}
if (incY > 0 && len(y) <= (n-1)*incY) || (incY < 0 && len(y) <= (1-n)*incY) {
panic(shortY)
}
if p.Flag == blas.Identity {
return
}
switch p.Flag {
case blas.Rescaling:
h11 := p.H[0]
h12 := p.H[2]
h21 := p.H[1]
h22 := p.H[3]
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = vx*h11+vy*h12, vx*h21+vy*h22
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = vx*h11+vy*h12, vx*h21+vy*h22
ix += incX
iy += incY
}
case blas.OffDiagonal:
h12 := p.H[2]
h21 := p.H[1]
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = vx+vy*h12, vx*h21+vy
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = vx+vy*h12, vx*h21+vy
ix += incX
iy += incY
}
case blas.Diagonal:
h11 := p.H[0]
h22 := p.H[3]
if incX == 1 && incY == 1 {
x = x[:n]
for i, vx := range x {
vy := y[i]
x[i], y[i] = vx*h11+vy, -vx+vy*h22
}
return
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
for i := 0; i < n; i++ {
vx := x[ix]
vy := y[iy]
x[ix], y[iy] = vx*h11+vy, -vx+vy*h22
ix += incX
iy += incY
}
}
}
// Dscal scales x by alpha.
// x[i] *= alpha
// Dscal has no effect if incX < 0.
func (Implementation) Dscal(n int, alpha float64, x []float64, incX int) {
if incX < 1 {
if incX == 0 {
panic(zeroIncX)
}
return
}
if n < 1 {
if n == 0 {
return
}
panic(nLT0)
}
if (n-1)*incX >= len(x) {
panic(shortX)
}
if alpha == 0 {
if incX == 1 {
x = x[:n]
for i := range x {
x[i] = 0
}
return
}
for ix := 0; ix < n*incX; ix += incX {
x[ix] = 0
}
return
}
if incX == 1 {
f64.ScalUnitary(alpha, x[:n])
return
}
f64.ScalInc(alpha, x, uintptr(n), uintptr(incX))
}

49
vendor/gonum.org/v1/gonum/blas/gonum/level1float64_ddot.go generated vendored
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@@ -1,49 +0,0 @@
// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"gonum.org/v1/gonum/internal/asm/f64"
)
// Ddot computes the dot product of the two vectors
// \sum_i x[i]*y[i]
func (Implementation) Ddot(n int, x []float64, incX int, y []float64, incY int) float64 {
if incX == 0 {
panic(zeroIncX)
}
if incY == 0 {
panic(zeroIncY)
}
if n <= 0 {
if n == 0 {
return 0
}
panic(nLT0)
}
if incX == 1 && incY == 1 {
if len(x) < n {
panic(shortX)
}
if len(y) < n {
panic(shortY)
}
return f64.DotUnitary(x[:n], y[:n])
}
var ix, iy int
if incX < 0 {
ix = (-n + 1) * incX
}
if incY < 0 {
iy = (-n + 1) * incY
}
if ix >= len(x) || ix+(n-1)*incX >= len(x) {
panic(shortX)
}
if iy >= len(y) || iy+(n-1)*incY >= len(y) {
panic(shortY)
}
return f64.DotInc(x, y, uintptr(n), uintptr(incX), uintptr(incY), uintptr(ix), uintptr(iy))
}

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vendor/gonum.org/v1/gonum/blas/gonum/level2cmplx128.go generated vendored
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vendor/gonum.org/v1/gonum/blas/gonum/level2cmplx64.go generated vendored
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vendor/gonum.org/v1/gonum/blas/gonum/level2float32.go generated vendored
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vendor/gonum.org/v1/gonum/blas/gonum/level2float64.go generated vendored
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vendor/gonum.org/v1/gonum/blas/gonum/level3cmplx128.go generated vendored
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vendor/gonum.org/v1/gonum/blas/gonum/level3cmplx64.go generated vendored
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vendor/gonum.org/v1/gonum/blas/gonum/level3float32.go generated vendored
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@@ -1,876 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/f32"
)
var _ blas.Float32Level3 = Implementation{}
// Strsm solves one of the matrix equations
// A * X = alpha * B if tA == blas.NoTrans and side == blas.Left
// A^T * X = alpha * B if tA == blas.Trans or blas.ConjTrans, and side == blas.Left
// X * A = alpha * B if tA == blas.NoTrans and side == blas.Right
// X * A^T = alpha * B if tA == blas.Trans or blas.ConjTrans, and side == blas.Right
// where A is an n×n or m×m triangular matrix, X and B are m×n matrices, and alpha is a
// scalar.
//
// At entry to the function, X contains the values of B, and the result is
// stored in-place into X.
//
// No check is made that A is invertible.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Strsm(s blas.Side, ul blas.Uplo, tA blas.Transpose, d blas.Diag, m, n int, alpha float32, a []float32, lda int, b []float32, ldb int) {
if s != blas.Left && s != blas.Right {
panic(badSide)
}
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.NoTrans && tA != blas.Trans && tA != blas.ConjTrans {
panic(badTranspose)
}
if d != blas.NonUnit && d != blas.Unit {
panic(badDiag)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
k := n
if s == blas.Left {
k = m
}
if lda < max(1, k) {
panic(badLdA)
}
if ldb < max(1, n) {
panic(badLdB)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(k-1)+k {
panic(shortA)
}
if len(b) < ldb*(m-1)+n {
panic(shortB)
}
if alpha == 0 {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := range btmp {
btmp[j] = 0
}
}
return
}
nonUnit := d == blas.NonUnit
if s == blas.Left {
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := m - 1; i >= 0; i-- {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f32.ScalUnitary(alpha, btmp)
}
for ka, va := range a[i*lda+i+1 : i*lda+m] {
if va != 0 {
k := ka + i + 1
f32.AxpyUnitary(-va, b[k*ldb:k*ldb+n], btmp)
}
}
if nonUnit {
tmp := 1 / a[i*lda+i]
f32.ScalUnitary(tmp, btmp)
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f32.ScalUnitary(alpha, btmp)
}
for k, va := range a[i*lda : i*lda+i] {
if va != 0 {
f32.AxpyUnitary(-va, b[k*ldb:k*ldb+n], btmp)
}
}
if nonUnit {
tmp := 1 / a[i*lda+i]
f32.ScalUnitary(tmp, btmp)
}
}
return
}
// Cases where a is transposed
if ul == blas.Upper {
for k := 0; k < m; k++ {
btmpk := b[k*ldb : k*ldb+n]
if nonUnit {
tmp := 1 / a[k*lda+k]
f32.ScalUnitary(tmp, btmpk)
}
for ia, va := range a[k*lda+k+1 : k*lda+m] {
if va != 0 {
i := ia + k + 1
f32.AxpyUnitary(-va, btmpk, b[i*ldb:i*ldb+n])
}
}
if alpha != 1 {
f32.ScalUnitary(alpha, btmpk)
}
}
return
}
for k := m - 1; k >= 0; k-- {
btmpk := b[k*ldb : k*ldb+n]
if nonUnit {
tmp := 1 / a[k*lda+k]
f32.ScalUnitary(tmp, btmpk)
}
for i, va := range a[k*lda : k*lda+k] {
if va != 0 {
f32.AxpyUnitary(-va, btmpk, b[i*ldb:i*ldb+n])
}
}
if alpha != 1 {
f32.ScalUnitary(alpha, btmpk)
}
}
return
}
// Cases where a is to the right of X.
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f32.ScalUnitary(alpha, btmp)
}
for k, vb := range btmp {
if vb == 0 {
continue
}
if nonUnit {
btmp[k] /= a[k*lda+k]
}
f32.AxpyUnitary(-btmp[k], a[k*lda+k+1:k*lda+n], btmp[k+1:n])
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f32.ScalUnitary(alpha, btmp)
}
for k := n - 1; k >= 0; k-- {
if btmp[k] == 0 {
continue
}
if nonUnit {
btmp[k] /= a[k*lda+k]
}
f32.AxpyUnitary(-btmp[k], a[k*lda:k*lda+k], btmp[:k])
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := n - 1; j >= 0; j-- {
tmp := alpha*btmp[j] - f32.DotUnitary(a[j*lda+j+1:j*lda+n], btmp[j+1:])
if nonUnit {
tmp /= a[j*lda+j]
}
btmp[j] = tmp
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := 0; j < n; j++ {
tmp := alpha*btmp[j] - f32.DotUnitary(a[j*lda:j*lda+j], btmp[:j])
if nonUnit {
tmp /= a[j*lda+j]
}
btmp[j] = tmp
}
}
}
// Ssymm performs one of the matrix-matrix operations
// C = alpha * A * B + beta * C if side == blas.Left
// C = alpha * B * A + beta * C if side == blas.Right
// where A is an n×n or m×m symmetric matrix, B and C are m×n matrices, and alpha
// is a scalar.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Ssymm(s blas.Side, ul blas.Uplo, m, n int, alpha float32, a []float32, lda int, b []float32, ldb int, beta float32, c []float32, ldc int) {
if s != blas.Right && s != blas.Left {
panic(badSide)
}
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
k := n
if s == blas.Left {
k = m
}
if lda < max(1, k) {
panic(badLdA)
}
if ldb < max(1, n) {
panic(badLdB)
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(k-1)+k {
panic(shortA)
}
if len(b) < ldb*(m-1)+n {
panic(shortB)
}
if len(c) < ldc*(m-1)+n {
panic(shortC)
}
// Quick return if possible.
if alpha == 0 && beta == 1 {
return
}
if alpha == 0 {
if beta == 0 {
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := 0; j < n; j++ {
ctmp[j] *= beta
}
}
return
}
isUpper := ul == blas.Upper
if s == blas.Left {
for i := 0; i < m; i++ {
atmp := alpha * a[i*lda+i]
btmp := b[i*ldb : i*ldb+n]
ctmp := c[i*ldc : i*ldc+n]
for j, v := range btmp {
ctmp[j] *= beta
ctmp[j] += atmp * v
}
for k := 0; k < i; k++ {
var atmp float32
if isUpper {
atmp = a[k*lda+i]
} else {
atmp = a[i*lda+k]
}
atmp *= alpha
f32.AxpyUnitary(atmp, b[k*ldb:k*ldb+n], ctmp)
}
for k := i + 1; k < m; k++ {
var atmp float32
if isUpper {
atmp = a[i*lda+k]
} else {
atmp = a[k*lda+i]
}
atmp *= alpha
f32.AxpyUnitary(atmp, b[k*ldb:k*ldb+n], ctmp)
}
}
return
}
if isUpper {
for i := 0; i < m; i++ {
for j := n - 1; j >= 0; j-- {
tmp := alpha * b[i*ldb+j]
var tmp2 float32
atmp := a[j*lda+j+1 : j*lda+n]
btmp := b[i*ldb+j+1 : i*ldb+n]
ctmp := c[i*ldc+j+1 : i*ldc+n]
for k, v := range atmp {
ctmp[k] += tmp * v
tmp2 += btmp[k] * v
}
c[i*ldc+j] *= beta
c[i*ldc+j] += tmp*a[j*lda+j] + alpha*tmp2
}
}
return
}
for i := 0; i < m; i++ {
for j := 0; j < n; j++ {
tmp := alpha * b[i*ldb+j]
var tmp2 float32
atmp := a[j*lda : j*lda+j]
btmp := b[i*ldb : i*ldb+j]
ctmp := c[i*ldc : i*ldc+j]
for k, v := range atmp {
ctmp[k] += tmp * v
tmp2 += btmp[k] * v
}
c[i*ldc+j] *= beta
c[i*ldc+j] += tmp*a[j*lda+j] + alpha*tmp2
}
}
}
// Ssyrk performs one of the symmetric rank-k operations
// C = alpha * A * A^T + beta * C if tA == blas.NoTrans
// C = alpha * A^T * A + beta * C if tA == blas.Trans or tA == blas.ConjTrans
// where A is an n×k or k×n matrix, C is an n×n symmetric matrix, and alpha and
// beta are scalars.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Ssyrk(ul blas.Uplo, tA blas.Transpose, n, k int, alpha float32, a []float32, lda int, beta float32, c []float32, ldc int) {
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.Trans && tA != blas.NoTrans && tA != blas.ConjTrans {
panic(badTranspose)
}
if n < 0 {
panic(nLT0)
}
if k < 0 {
panic(kLT0)
}
row, col := k, n
if tA == blas.NoTrans {
row, col = n, k
}
if lda < max(1, col) {
panic(badLdA)
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(row-1)+col {
panic(shortA)
}
if len(c) < ldc*(n-1)+n {
panic(shortC)
}
if alpha == 0 {
if beta == 0 {
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
atmp := a[i*lda : i*lda+k]
if beta == 0 {
for jc := range ctmp {
j := jc + i
ctmp[jc] = alpha * f32.DotUnitary(atmp, a[j*lda:j*lda+k])
}
} else {
for jc, vc := range ctmp {
j := jc + i
ctmp[jc] = vc*beta + alpha*f32.DotUnitary(atmp, a[j*lda:j*lda+k])
}
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
atmp := a[i*lda : i*lda+k]
if beta == 0 {
for j := range ctmp {
ctmp[j] = alpha * f32.DotUnitary(a[j*lda:j*lda+k], atmp)
}
} else {
for j, vc := range ctmp {
ctmp[j] = vc*beta + alpha*f32.DotUnitary(a[j*lda:j*lda+k], atmp)
}
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
if beta == 0 {
for j := range ctmp {
ctmp[j] = 0
}
} else if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp := alpha * a[l*lda+i]
if tmp != 0 {
f32.AxpyUnitary(tmp, a[l*lda+i:l*lda+n], ctmp)
}
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp := alpha * a[l*lda+i]
if tmp != 0 {
f32.AxpyUnitary(tmp, a[l*lda:l*lda+i+1], ctmp)
}
}
}
}
// Ssyr2k performs one of the symmetric rank 2k operations
// C = alpha * A * B^T + alpha * B * A^T + beta * C if tA == blas.NoTrans
// C = alpha * A^T * B + alpha * B^T * A + beta * C if tA == blas.Trans or tA == blas.ConjTrans
// where A and B are n×k or k×n matrices, C is an n×n symmetric matrix, and
// alpha and beta are scalars.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Ssyr2k(ul blas.Uplo, tA blas.Transpose, n, k int, alpha float32, a []float32, lda int, b []float32, ldb int, beta float32, c []float32, ldc int) {
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.Trans && tA != blas.NoTrans && tA != blas.ConjTrans {
panic(badTranspose)
}
if n < 0 {
panic(nLT0)
}
if k < 0 {
panic(kLT0)
}
row, col := k, n
if tA == blas.NoTrans {
row, col = n, k
}
if lda < max(1, col) {
panic(badLdA)
}
if ldb < max(1, col) {
panic(badLdB)
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(row-1)+col {
panic(shortA)
}
if len(b) < ldb*(row-1)+col {
panic(shortB)
}
if len(c) < ldc*(n-1)+n {
panic(shortC)
}
if alpha == 0 {
if beta == 0 {
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < n; i++ {
atmp := a[i*lda : i*lda+k]
btmp := b[i*ldb : i*ldb+k]
ctmp := c[i*ldc+i : i*ldc+n]
for jc := range ctmp {
j := i + jc
var tmp1, tmp2 float32
binner := b[j*ldb : j*ldb+k]
for l, v := range a[j*lda : j*lda+k] {
tmp1 += v * btmp[l]
tmp2 += atmp[l] * binner[l]
}
ctmp[jc] *= beta
ctmp[jc] += alpha * (tmp1 + tmp2)
}
}
return
}
for i := 0; i < n; i++ {
atmp := a[i*lda : i*lda+k]
btmp := b[i*ldb : i*ldb+k]
ctmp := c[i*ldc : i*ldc+i+1]
for j := 0; j <= i; j++ {
var tmp1, tmp2 float32
binner := b[j*ldb : j*ldb+k]
for l, v := range a[j*lda : j*lda+k] {
tmp1 += v * btmp[l]
tmp2 += atmp[l] * binner[l]
}
ctmp[j] *= beta
ctmp[j] += alpha * (tmp1 + tmp2)
}
}
return
}
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp1 := alpha * b[l*ldb+i]
tmp2 := alpha * a[l*lda+i]
btmp := b[l*ldb+i : l*ldb+n]
if tmp1 != 0 || tmp2 != 0 {
for j, v := range a[l*lda+i : l*lda+n] {
ctmp[j] += v*tmp1 + btmp[j]*tmp2
}
}
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp1 := alpha * b[l*ldb+i]
tmp2 := alpha * a[l*lda+i]
btmp := b[l*ldb : l*ldb+i+1]
if tmp1 != 0 || tmp2 != 0 {
for j, v := range a[l*lda : l*lda+i+1] {
ctmp[j] += v*tmp1 + btmp[j]*tmp2
}
}
}
}
}
// Strmm performs one of the matrix-matrix operations
// B = alpha * A * B if tA == blas.NoTrans and side == blas.Left
// B = alpha * A^T * B if tA == blas.Trans or blas.ConjTrans, and side == blas.Left
// B = alpha * B * A if tA == blas.NoTrans and side == blas.Right
// B = alpha * B * A^T if tA == blas.Trans or blas.ConjTrans, and side == blas.Right
// where A is an n×n or m×m triangular matrix, B is an m×n matrix, and alpha is a scalar.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Strmm(s blas.Side, ul blas.Uplo, tA blas.Transpose, d blas.Diag, m, n int, alpha float32, a []float32, lda int, b []float32, ldb int) {
if s != blas.Left && s != blas.Right {
panic(badSide)
}
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.NoTrans && tA != blas.Trans && tA != blas.ConjTrans {
panic(badTranspose)
}
if d != blas.NonUnit && d != blas.Unit {
panic(badDiag)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
k := n
if s == blas.Left {
k = m
}
if lda < max(1, k) {
panic(badLdA)
}
if ldb < max(1, n) {
panic(badLdB)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(k-1)+k {
panic(shortA)
}
if len(b) < ldb*(m-1)+n {
panic(shortB)
}
if alpha == 0 {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := range btmp {
btmp[j] = 0
}
}
return
}
nonUnit := d == blas.NonUnit
if s == blas.Left {
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < m; i++ {
tmp := alpha
if nonUnit {
tmp *= a[i*lda+i]
}
btmp := b[i*ldb : i*ldb+n]
f32.ScalUnitary(tmp, btmp)
for ka, va := range a[i*lda+i+1 : i*lda+m] {
k := ka + i + 1
if va != 0 {
f32.AxpyUnitary(alpha*va, b[k*ldb:k*ldb+n], btmp)
}
}
}
return
}
for i := m - 1; i >= 0; i-- {
tmp := alpha
if nonUnit {
tmp *= a[i*lda+i]
}
btmp := b[i*ldb : i*ldb+n]
f32.ScalUnitary(tmp, btmp)
for k, va := range a[i*lda : i*lda+i] {
if va != 0 {
f32.AxpyUnitary(alpha*va, b[k*ldb:k*ldb+n], btmp)
}
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for k := m - 1; k >= 0; k-- {
btmpk := b[k*ldb : k*ldb+n]
for ia, va := range a[k*lda+k+1 : k*lda+m] {
i := ia + k + 1
btmp := b[i*ldb : i*ldb+n]
if va != 0 {
f32.AxpyUnitary(alpha*va, btmpk, btmp)
}
}
tmp := alpha
if nonUnit {
tmp *= a[k*lda+k]
}
if tmp != 1 {
f32.ScalUnitary(tmp, btmpk)
}
}
return
}
for k := 0; k < m; k++ {
btmpk := b[k*ldb : k*ldb+n]
for i, va := range a[k*lda : k*lda+k] {
btmp := b[i*ldb : i*ldb+n]
if va != 0 {
f32.AxpyUnitary(alpha*va, btmpk, btmp)
}
}
tmp := alpha
if nonUnit {
tmp *= a[k*lda+k]
}
if tmp != 1 {
f32.ScalUnitary(tmp, btmpk)
}
}
return
}
// Cases where a is on the right
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for k := n - 1; k >= 0; k-- {
tmp := alpha * btmp[k]
if tmp == 0 {
continue
}
btmp[k] = tmp
if nonUnit {
btmp[k] *= a[k*lda+k]
}
f32.AxpyUnitary(tmp, a[k*lda+k+1:k*lda+n], btmp[k+1:n])
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for k := 0; k < n; k++ {
tmp := alpha * btmp[k]
if tmp == 0 {
continue
}
btmp[k] = tmp
if nonUnit {
btmp[k] *= a[k*lda+k]
}
f32.AxpyUnitary(tmp, a[k*lda:k*lda+k], btmp[:k])
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j, vb := range btmp {
tmp := vb
if nonUnit {
tmp *= a[j*lda+j]
}
tmp += f32.DotUnitary(a[j*lda+j+1:j*lda+n], btmp[j+1:n])
btmp[j] = alpha * tmp
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := n - 1; j >= 0; j-- {
tmp := btmp[j]
if nonUnit {
tmp *= a[j*lda+j]
}
tmp += f32.DotUnitary(a[j*lda:j*lda+j], btmp[:j])
btmp[j] = alpha * tmp
}
}
}

864
vendor/gonum.org/v1/gonum/blas/gonum/level3float64.go generated vendored
View File

@@ -1,864 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/f64"
)
var _ blas.Float64Level3 = Implementation{}
// Dtrsm solves one of the matrix equations
// A * X = alpha * B if tA == blas.NoTrans and side == blas.Left
// A^T * X = alpha * B if tA == blas.Trans or blas.ConjTrans, and side == blas.Left
// X * A = alpha * B if tA == blas.NoTrans and side == blas.Right
// X * A^T = alpha * B if tA == blas.Trans or blas.ConjTrans, and side == blas.Right
// where A is an n×n or m×m triangular matrix, X and B are m×n matrices, and alpha is a
// scalar.
//
// At entry to the function, X contains the values of B, and the result is
// stored in-place into X.
//
// No check is made that A is invertible.
func (Implementation) Dtrsm(s blas.Side, ul blas.Uplo, tA blas.Transpose, d blas.Diag, m, n int, alpha float64, a []float64, lda int, b []float64, ldb int) {
if s != blas.Left && s != blas.Right {
panic(badSide)
}
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.NoTrans && tA != blas.Trans && tA != blas.ConjTrans {
panic(badTranspose)
}
if d != blas.NonUnit && d != blas.Unit {
panic(badDiag)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
k := n
if s == blas.Left {
k = m
}
if lda < max(1, k) {
panic(badLdA)
}
if ldb < max(1, n) {
panic(badLdB)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(k-1)+k {
panic(shortA)
}
if len(b) < ldb*(m-1)+n {
panic(shortB)
}
if alpha == 0 {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := range btmp {
btmp[j] = 0
}
}
return
}
nonUnit := d == blas.NonUnit
if s == blas.Left {
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := m - 1; i >= 0; i-- {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f64.ScalUnitary(alpha, btmp)
}
for ka, va := range a[i*lda+i+1 : i*lda+m] {
if va != 0 {
k := ka + i + 1
f64.AxpyUnitary(-va, b[k*ldb:k*ldb+n], btmp)
}
}
if nonUnit {
tmp := 1 / a[i*lda+i]
f64.ScalUnitary(tmp, btmp)
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f64.ScalUnitary(alpha, btmp)
}
for k, va := range a[i*lda : i*lda+i] {
if va != 0 {
f64.AxpyUnitary(-va, b[k*ldb:k*ldb+n], btmp)
}
}
if nonUnit {
tmp := 1 / a[i*lda+i]
f64.ScalUnitary(tmp, btmp)
}
}
return
}
// Cases where a is transposed
if ul == blas.Upper {
for k := 0; k < m; k++ {
btmpk := b[k*ldb : k*ldb+n]
if nonUnit {
tmp := 1 / a[k*lda+k]
f64.ScalUnitary(tmp, btmpk)
}
for ia, va := range a[k*lda+k+1 : k*lda+m] {
if va != 0 {
i := ia + k + 1
f64.AxpyUnitary(-va, btmpk, b[i*ldb:i*ldb+n])
}
}
if alpha != 1 {
f64.ScalUnitary(alpha, btmpk)
}
}
return
}
for k := m - 1; k >= 0; k-- {
btmpk := b[k*ldb : k*ldb+n]
if nonUnit {
tmp := 1 / a[k*lda+k]
f64.ScalUnitary(tmp, btmpk)
}
for i, va := range a[k*lda : k*lda+k] {
if va != 0 {
f64.AxpyUnitary(-va, btmpk, b[i*ldb:i*ldb+n])
}
}
if alpha != 1 {
f64.ScalUnitary(alpha, btmpk)
}
}
return
}
// Cases where a is to the right of X.
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f64.ScalUnitary(alpha, btmp)
}
for k, vb := range btmp {
if vb == 0 {
continue
}
if nonUnit {
btmp[k] /= a[k*lda+k]
}
f64.AxpyUnitary(-btmp[k], a[k*lda+k+1:k*lda+n], btmp[k+1:n])
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
if alpha != 1 {
f64.ScalUnitary(alpha, btmp)
}
for k := n - 1; k >= 0; k-- {
if btmp[k] == 0 {
continue
}
if nonUnit {
btmp[k] /= a[k*lda+k]
}
f64.AxpyUnitary(-btmp[k], a[k*lda:k*lda+k], btmp[:k])
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := n - 1; j >= 0; j-- {
tmp := alpha*btmp[j] - f64.DotUnitary(a[j*lda+j+1:j*lda+n], btmp[j+1:])
if nonUnit {
tmp /= a[j*lda+j]
}
btmp[j] = tmp
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := 0; j < n; j++ {
tmp := alpha*btmp[j] - f64.DotUnitary(a[j*lda:j*lda+j], btmp[:j])
if nonUnit {
tmp /= a[j*lda+j]
}
btmp[j] = tmp
}
}
}
// Dsymm performs one of the matrix-matrix operations
// C = alpha * A * B + beta * C if side == blas.Left
// C = alpha * B * A + beta * C if side == blas.Right
// where A is an n×n or m×m symmetric matrix, B and C are m×n matrices, and alpha
// is a scalar.
func (Implementation) Dsymm(s blas.Side, ul blas.Uplo, m, n int, alpha float64, a []float64, lda int, b []float64, ldb int, beta float64, c []float64, ldc int) {
if s != blas.Right && s != blas.Left {
panic(badSide)
}
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
k := n
if s == blas.Left {
k = m
}
if lda < max(1, k) {
panic(badLdA)
}
if ldb < max(1, n) {
panic(badLdB)
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(k-1)+k {
panic(shortA)
}
if len(b) < ldb*(m-1)+n {
panic(shortB)
}
if len(c) < ldc*(m-1)+n {
panic(shortC)
}
// Quick return if possible.
if alpha == 0 && beta == 1 {
return
}
if alpha == 0 {
if beta == 0 {
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := 0; j < n; j++ {
ctmp[j] *= beta
}
}
return
}
isUpper := ul == blas.Upper
if s == blas.Left {
for i := 0; i < m; i++ {
atmp := alpha * a[i*lda+i]
btmp := b[i*ldb : i*ldb+n]
ctmp := c[i*ldc : i*ldc+n]
for j, v := range btmp {
ctmp[j] *= beta
ctmp[j] += atmp * v
}
for k := 0; k < i; k++ {
var atmp float64
if isUpper {
atmp = a[k*lda+i]
} else {
atmp = a[i*lda+k]
}
atmp *= alpha
f64.AxpyUnitary(atmp, b[k*ldb:k*ldb+n], ctmp)
}
for k := i + 1; k < m; k++ {
var atmp float64
if isUpper {
atmp = a[i*lda+k]
} else {
atmp = a[k*lda+i]
}
atmp *= alpha
f64.AxpyUnitary(atmp, b[k*ldb:k*ldb+n], ctmp)
}
}
return
}
if isUpper {
for i := 0; i < m; i++ {
for j := n - 1; j >= 0; j-- {
tmp := alpha * b[i*ldb+j]
var tmp2 float64
atmp := a[j*lda+j+1 : j*lda+n]
btmp := b[i*ldb+j+1 : i*ldb+n]
ctmp := c[i*ldc+j+1 : i*ldc+n]
for k, v := range atmp {
ctmp[k] += tmp * v
tmp2 += btmp[k] * v
}
c[i*ldc+j] *= beta
c[i*ldc+j] += tmp*a[j*lda+j] + alpha*tmp2
}
}
return
}
for i := 0; i < m; i++ {
for j := 0; j < n; j++ {
tmp := alpha * b[i*ldb+j]
var tmp2 float64
atmp := a[j*lda : j*lda+j]
btmp := b[i*ldb : i*ldb+j]
ctmp := c[i*ldc : i*ldc+j]
for k, v := range atmp {
ctmp[k] += tmp * v
tmp2 += btmp[k] * v
}
c[i*ldc+j] *= beta
c[i*ldc+j] += tmp*a[j*lda+j] + alpha*tmp2
}
}
}
// Dsyrk performs one of the symmetric rank-k operations
// C = alpha * A * A^T + beta * C if tA == blas.NoTrans
// C = alpha * A^T * A + beta * C if tA == blas.Trans or tA == blas.ConjTrans
// where A is an n×k or k×n matrix, C is an n×n symmetric matrix, and alpha and
// beta are scalars.
func (Implementation) Dsyrk(ul blas.Uplo, tA blas.Transpose, n, k int, alpha float64, a []float64, lda int, beta float64, c []float64, ldc int) {
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.Trans && tA != blas.NoTrans && tA != blas.ConjTrans {
panic(badTranspose)
}
if n < 0 {
panic(nLT0)
}
if k < 0 {
panic(kLT0)
}
row, col := k, n
if tA == blas.NoTrans {
row, col = n, k
}
if lda < max(1, col) {
panic(badLdA)
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(row-1)+col {
panic(shortA)
}
if len(c) < ldc*(n-1)+n {
panic(shortC)
}
if alpha == 0 {
if beta == 0 {
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
atmp := a[i*lda : i*lda+k]
if beta == 0 {
for jc := range ctmp {
j := jc + i
ctmp[jc] = alpha * f64.DotUnitary(atmp, a[j*lda:j*lda+k])
}
} else {
for jc, vc := range ctmp {
j := jc + i
ctmp[jc] = vc*beta + alpha*f64.DotUnitary(atmp, a[j*lda:j*lda+k])
}
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
atmp := a[i*lda : i*lda+k]
if beta == 0 {
for j := range ctmp {
ctmp[j] = alpha * f64.DotUnitary(a[j*lda:j*lda+k], atmp)
}
} else {
for j, vc := range ctmp {
ctmp[j] = vc*beta + alpha*f64.DotUnitary(a[j*lda:j*lda+k], atmp)
}
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
if beta == 0 {
for j := range ctmp {
ctmp[j] = 0
}
} else if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp := alpha * a[l*lda+i]
if tmp != 0 {
f64.AxpyUnitary(tmp, a[l*lda+i:l*lda+n], ctmp)
}
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp := alpha * a[l*lda+i]
if tmp != 0 {
f64.AxpyUnitary(tmp, a[l*lda:l*lda+i+1], ctmp)
}
}
}
}
// Dsyr2k performs one of the symmetric rank 2k operations
// C = alpha * A * B^T + alpha * B * A^T + beta * C if tA == blas.NoTrans
// C = alpha * A^T * B + alpha * B^T * A + beta * C if tA == blas.Trans or tA == blas.ConjTrans
// where A and B are n×k or k×n matrices, C is an n×n symmetric matrix, and
// alpha and beta are scalars.
func (Implementation) Dsyr2k(ul blas.Uplo, tA blas.Transpose, n, k int, alpha float64, a []float64, lda int, b []float64, ldb int, beta float64, c []float64, ldc int) {
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.Trans && tA != blas.NoTrans && tA != blas.ConjTrans {
panic(badTranspose)
}
if n < 0 {
panic(nLT0)
}
if k < 0 {
panic(kLT0)
}
row, col := k, n
if tA == blas.NoTrans {
row, col = n, k
}
if lda < max(1, col) {
panic(badLdA)
}
if ldb < max(1, col) {
panic(badLdB)
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(row-1)+col {
panic(shortA)
}
if len(b) < ldb*(row-1)+col {
panic(shortB)
}
if len(c) < ldc*(n-1)+n {
panic(shortC)
}
if alpha == 0 {
if beta == 0 {
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] = 0
}
}
return
}
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
for j := range ctmp {
ctmp[j] *= beta
}
}
return
}
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < n; i++ {
atmp := a[i*lda : i*lda+k]
btmp := b[i*ldb : i*ldb+k]
ctmp := c[i*ldc+i : i*ldc+n]
for jc := range ctmp {
j := i + jc
var tmp1, tmp2 float64
binner := b[j*ldb : j*ldb+k]
for l, v := range a[j*lda : j*lda+k] {
tmp1 += v * btmp[l]
tmp2 += atmp[l] * binner[l]
}
ctmp[jc] *= beta
ctmp[jc] += alpha * (tmp1 + tmp2)
}
}
return
}
for i := 0; i < n; i++ {
atmp := a[i*lda : i*lda+k]
btmp := b[i*ldb : i*ldb+k]
ctmp := c[i*ldc : i*ldc+i+1]
for j := 0; j <= i; j++ {
var tmp1, tmp2 float64
binner := b[j*ldb : j*ldb+k]
for l, v := range a[j*lda : j*lda+k] {
tmp1 += v * btmp[l]
tmp2 += atmp[l] * binner[l]
}
ctmp[j] *= beta
ctmp[j] += alpha * (tmp1 + tmp2)
}
}
return
}
if ul == blas.Upper {
for i := 0; i < n; i++ {
ctmp := c[i*ldc+i : i*ldc+n]
if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp1 := alpha * b[l*ldb+i]
tmp2 := alpha * a[l*lda+i]
btmp := b[l*ldb+i : l*ldb+n]
if tmp1 != 0 || tmp2 != 0 {
for j, v := range a[l*lda+i : l*lda+n] {
ctmp[j] += v*tmp1 + btmp[j]*tmp2
}
}
}
}
return
}
for i := 0; i < n; i++ {
ctmp := c[i*ldc : i*ldc+i+1]
if beta != 1 {
for j := range ctmp {
ctmp[j] *= beta
}
}
for l := 0; l < k; l++ {
tmp1 := alpha * b[l*ldb+i]
tmp2 := alpha * a[l*lda+i]
btmp := b[l*ldb : l*ldb+i+1]
if tmp1 != 0 || tmp2 != 0 {
for j, v := range a[l*lda : l*lda+i+1] {
ctmp[j] += v*tmp1 + btmp[j]*tmp2
}
}
}
}
}
// Dtrmm performs one of the matrix-matrix operations
// B = alpha * A * B if tA == blas.NoTrans and side == blas.Left
// B = alpha * A^T * B if tA == blas.Trans or blas.ConjTrans, and side == blas.Left
// B = alpha * B * A if tA == blas.NoTrans and side == blas.Right
// B = alpha * B * A^T if tA == blas.Trans or blas.ConjTrans, and side == blas.Right
// where A is an n×n or m×m triangular matrix, B is an m×n matrix, and alpha is a scalar.
func (Implementation) Dtrmm(s blas.Side, ul blas.Uplo, tA blas.Transpose, d blas.Diag, m, n int, alpha float64, a []float64, lda int, b []float64, ldb int) {
if s != blas.Left && s != blas.Right {
panic(badSide)
}
if ul != blas.Lower && ul != blas.Upper {
panic(badUplo)
}
if tA != blas.NoTrans && tA != blas.Trans && tA != blas.ConjTrans {
panic(badTranspose)
}
if d != blas.NonUnit && d != blas.Unit {
panic(badDiag)
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
k := n
if s == blas.Left {
k = m
}
if lda < max(1, k) {
panic(badLdA)
}
if ldb < max(1, n) {
panic(badLdB)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if len(a) < lda*(k-1)+k {
panic(shortA)
}
if len(b) < ldb*(m-1)+n {
panic(shortB)
}
if alpha == 0 {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := range btmp {
btmp[j] = 0
}
}
return
}
nonUnit := d == blas.NonUnit
if s == blas.Left {
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < m; i++ {
tmp := alpha
if nonUnit {
tmp *= a[i*lda+i]
}
btmp := b[i*ldb : i*ldb+n]
f64.ScalUnitary(tmp, btmp)
for ka, va := range a[i*lda+i+1 : i*lda+m] {
k := ka + i + 1
if va != 0 {
f64.AxpyUnitary(alpha*va, b[k*ldb:k*ldb+n], btmp)
}
}
}
return
}
for i := m - 1; i >= 0; i-- {
tmp := alpha
if nonUnit {
tmp *= a[i*lda+i]
}
btmp := b[i*ldb : i*ldb+n]
f64.ScalUnitary(tmp, btmp)
for k, va := range a[i*lda : i*lda+i] {
if va != 0 {
f64.AxpyUnitary(alpha*va, b[k*ldb:k*ldb+n], btmp)
}
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for k := m - 1; k >= 0; k-- {
btmpk := b[k*ldb : k*ldb+n]
for ia, va := range a[k*lda+k+1 : k*lda+m] {
i := ia + k + 1
btmp := b[i*ldb : i*ldb+n]
if va != 0 {
f64.AxpyUnitary(alpha*va, btmpk, btmp)
}
}
tmp := alpha
if nonUnit {
tmp *= a[k*lda+k]
}
if tmp != 1 {
f64.ScalUnitary(tmp, btmpk)
}
}
return
}
for k := 0; k < m; k++ {
btmpk := b[k*ldb : k*ldb+n]
for i, va := range a[k*lda : k*lda+k] {
btmp := b[i*ldb : i*ldb+n]
if va != 0 {
f64.AxpyUnitary(alpha*va, btmpk, btmp)
}
}
tmp := alpha
if nonUnit {
tmp *= a[k*lda+k]
}
if tmp != 1 {
f64.ScalUnitary(tmp, btmpk)
}
}
return
}
// Cases where a is on the right
if tA == blas.NoTrans {
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for k := n - 1; k >= 0; k-- {
tmp := alpha * btmp[k]
if tmp == 0 {
continue
}
btmp[k] = tmp
if nonUnit {
btmp[k] *= a[k*lda+k]
}
f64.AxpyUnitary(tmp, a[k*lda+k+1:k*lda+n], btmp[k+1:n])
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for k := 0; k < n; k++ {
tmp := alpha * btmp[k]
if tmp == 0 {
continue
}
btmp[k] = tmp
if nonUnit {
btmp[k] *= a[k*lda+k]
}
f64.AxpyUnitary(tmp, a[k*lda:k*lda+k], btmp[:k])
}
}
return
}
// Cases where a is transposed.
if ul == blas.Upper {
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j, vb := range btmp {
tmp := vb
if nonUnit {
tmp *= a[j*lda+j]
}
tmp += f64.DotUnitary(a[j*lda+j+1:j*lda+n], btmp[j+1:n])
btmp[j] = alpha * tmp
}
}
return
}
for i := 0; i < m; i++ {
btmp := b[i*ldb : i*ldb+n]
for j := n - 1; j >= 0; j-- {
tmp := btmp[j]
if nonUnit {
tmp *= a[j*lda+j]
}
tmp += f64.DotUnitary(a[j*lda:j*lda+j], btmp[:j])
btmp[j] = alpha * tmp
}
}
}

318
vendor/gonum.org/v1/gonum/blas/gonum/sgemm.go generated vendored
View File

@@ -1,318 +0,0 @@
// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package gonum
import (
"runtime"
"sync"
"gonum.org/v1/gonum/blas"
"gonum.org/v1/gonum/internal/asm/f32"
)
// Sgemm performs one of the matrix-matrix operations
// C = alpha * A * B + beta * C
// C = alpha * A^T * B + beta * C
// C = alpha * A * B^T + beta * C
// C = alpha * A^T * B^T + beta * C
// where A is an m×k or k×m dense matrix, B is an n×k or k×n dense matrix, C is
// an m×n matrix, and alpha and beta are scalars. tA and tB specify whether A or
// B are transposed.
//
// Float32 implementations are autogenerated and not directly tested.
func (Implementation) Sgemm(tA, tB blas.Transpose, m, n, k int, alpha float32, a []float32, lda int, b []float32, ldb int, beta float32, c []float32, ldc int) {
switch tA {
default:
panic(badTranspose)
case blas.NoTrans, blas.Trans, blas.ConjTrans:
}
switch tB {
default:
panic(badTranspose)
case blas.NoTrans, blas.Trans, blas.ConjTrans:
}
if m < 0 {
panic(mLT0)
}
if n < 0 {
panic(nLT0)
}
if k < 0 {
panic(kLT0)
}
aTrans := tA == blas.Trans || tA == blas.ConjTrans
if aTrans {
if lda < max(1, m) {
panic(badLdA)
}
} else {
if lda < max(1, k) {
panic(badLdA)
}
}
bTrans := tB == blas.Trans || tB == blas.ConjTrans
if bTrans {
if ldb < max(1, k) {
panic(badLdB)
}
} else {
if ldb < max(1, n) {
panic(badLdB)
}
}
if ldc < max(1, n) {
panic(badLdC)
}
// Quick return if possible.
if m == 0 || n == 0 {
return
}
// For zero matrix size the following slice length checks are trivially satisfied.
if aTrans {
if len(a) < (k-1)*lda+m {
panic(shortA)
}
} else {
if len(a) < (m-1)*lda+k {
panic(shortA)
}
}
if bTrans {
if len(b) < (n-1)*ldb+k {
panic(shortB)
}
} else {
if len(b) < (k-1)*ldb+n {
panic(shortB)
}
}
if len(c) < (m-1)*ldc+n {
panic(shortC)
}
// Quick return if possible.
if (alpha == 0 || k == 0) && beta == 1 {
return
}
// scale c
if beta != 1 {
if beta == 0 {
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := range ctmp {
ctmp[j] = 0
}
}
} else {
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for j := range ctmp {
ctmp[j] *= beta
}
}
}
}
sgemmParallel(aTrans, bTrans, m, n, k, a, lda, b, ldb, c, ldc, alpha)
}
func sgemmParallel(aTrans, bTrans bool, m, n, k int, a []float32, lda int, b []float32, ldb int, c []float32, ldc int, alpha float32) {
// dgemmParallel computes a parallel matrix multiplication by partitioning
// a and b into sub-blocks, and updating c with the multiplication of the sub-block
// In all cases,
// A = [ A_11 A_12 ... A_1j
// A_21 A_22 ... A_2j
// ...
// A_i1 A_i2 ... A_ij]
//
// and same for B. All of the submatrix sizes are blockSize×blockSize except
// at the edges.
//
// In all cases, there is one dimension for each matrix along which
// C must be updated sequentially.
// Cij = \sum_k Aik Bki, (A * B)
// Cij = \sum_k Aki Bkj, (A^T * B)
// Cij = \sum_k Aik Bjk, (A * B^T)
// Cij = \sum_k Aki Bjk, (A^T * B^T)
//
// This code computes one {i, j} block sequentially along the k dimension,
// and computes all of the {i, j} blocks concurrently. This
// partitioning allows Cij to be updated in-place without race-conditions.
// Instead of launching a goroutine for each possible concurrent computation,
// a number of worker goroutines are created and channels are used to pass
// available and completed cases.
//
// http://alexkr.com/docs/matrixmult.pdf is a good reference on matrix-matrix
// multiplies, though this code does not copy matrices to attempt to eliminate
// cache misses.
maxKLen := k
parBlocks := blocks(m, blockSize) * blocks(n, blockSize)
if parBlocks < minParBlock {
// The matrix multiplication is small in the dimensions where it can be
// computed concurrently. Just do it in serial.
sgemmSerial(aTrans, bTrans, m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
}
nWorkers := runtime.GOMAXPROCS(0)
if parBlocks < nWorkers {
nWorkers = parBlocks
}
// There is a tradeoff between the workers having to wait for work
// and a large buffer making operations slow.
buf := buffMul * nWorkers
if buf > parBlocks {
buf = parBlocks
}
sendChan := make(chan subMul, buf)
// Launch workers. A worker receives an {i, j} submatrix of c, and computes
// A_ik B_ki (or the transposed version) storing the result in c_ij. When the
// channel is finally closed, it signals to the waitgroup that it has finished
// computing.
var wg sync.WaitGroup
for i := 0; i < nWorkers; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for sub := range sendChan {
i := sub.i
j := sub.j
leni := blockSize
if i+leni > m {
leni = m - i
}
lenj := blockSize
if j+lenj > n {
lenj = n - j
}
cSub := sliceView32(c, ldc, i, j, leni, lenj)
// Compute A_ik B_kj for all k
for k := 0; k < maxKLen; k += blockSize {
lenk := blockSize
if k+lenk > maxKLen {
lenk = maxKLen - k
}
var aSub, bSub []float32
if aTrans {
aSub = sliceView32(a, lda, k, i, lenk, leni)
} else {
aSub = sliceView32(a, lda, i, k, leni, lenk)
}
if bTrans {
bSub = sliceView32(b, ldb, j, k, lenj, lenk)
} else {
bSub = sliceView32(b, ldb, k, j, lenk, lenj)
}
sgemmSerial(aTrans, bTrans, leni, lenj, lenk, aSub, lda, bSub, ldb, cSub, ldc, alpha)
}
}
}()
}
// Send out all of the {i, j} subblocks for computation.
for i := 0; i < m; i += blockSize {
for j := 0; j < n; j += blockSize {
sendChan <- subMul{
i: i,
j: j,
}
}
}
close(sendChan)
wg.Wait()
}
// sgemmSerial is serial matrix multiply
func sgemmSerial(aTrans, bTrans bool, m, n, k int, a []float32, lda int, b []float32, ldb int, c []float32, ldc int, alpha float32) {
switch {
case !aTrans && !bTrans:
sgemmSerialNotNot(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
case aTrans && !bTrans:
sgemmSerialTransNot(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
case !aTrans && bTrans:
sgemmSerialNotTrans(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
case aTrans && bTrans:
sgemmSerialTransTrans(m, n, k, a, lda, b, ldb, c, ldc, alpha)
return
default:
panic("unreachable")
}
}
// sgemmSerial where neither a nor b are transposed
func sgemmSerialNotNot(m, n, k int, a []float32, lda int, b []float32, ldb int, c []float32, ldc int, alpha float32) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for i := 0; i < m; i++ {
ctmp := c[i*ldc : i*ldc+n]
for l, v := range a[i*lda : i*lda+k] {
tmp := alpha * v
if tmp != 0 {
f32.AxpyUnitary(tmp, b[l*ldb:l*ldb+n], ctmp)
}
}
}
}
// sgemmSerial where neither a is transposed and b is not
func sgemmSerialTransNot(m, n, k int, a []float32, lda int, b []float32, ldb int, c []float32, ldc int, alpha float32) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for l := 0; l < k; l++ {
btmp := b[l*ldb : l*ldb+n]
for i, v := range a[l*lda : l*lda+m] {
tmp := alpha * v
if tmp != 0 {
ctmp := c[i*ldc : i*ldc+n]
f32.AxpyUnitary(tmp, btmp, ctmp)
}
}
}
}
// sgemmSerial where neither a is not transposed and b is
func sgemmSerialNotTrans(m, n, k int, a []float32, lda int, b []float32, ldb int, c []float32, ldc int, alpha float32) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for i := 0; i < m; i++ {
atmp := a[i*lda : i*lda+k]
ctmp := c[i*ldc : i*ldc+n]
for j := 0; j < n; j++ {
ctmp[j] += alpha * f32.DotUnitary(atmp, b[j*ldb:j*ldb+k])
}
}
}
// sgemmSerial where both are transposed
func sgemmSerialTransTrans(m, n, k int, a []float32, lda int, b []float32, ldb int, c []float32, ldc int, alpha float32) {
// This style is used instead of the literal [i*stride +j]) is used because
// approximately 5 times faster as of go 1.3.
for l := 0; l < k; l++ {
for i, v := range a[l*lda : l*lda+m] {
tmp := alpha * v
if tmp != 0 {
ctmp := c[i*ldc : i*ldc+n]
f32.AxpyInc(tmp, b[l:], ctmp, uintptr(n), uintptr(ldb), 1, 0, 0)
}
}
}
}
func sliceView32(a []float32, lda, i, j, r, c int) []float32 {
return a[i*lda+j : (i+r-1)*lda+j+c]
}

218
vendor/gonum.org/v1/gonum/blas/gonum/single_precision.bash generated vendored
View File

@@ -1,218 +0,0 @@
#!/usr/bin/env bash
# Copyright ©2015 The Gonum Authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
WARNINGF32='//\
// Float32 implementations are autogenerated and not directly tested.\
'
WARNINGC64='//\
// Complex64 implementations are autogenerated and not directly tested.\
'
# Level1 routines.
echo Generating level1float32.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level1float32.go
cat level1float64.go \
| gofmt -r 'blas.Float64Level1 -> blas.Float32Level1' \
\
| gofmt -r 'float64 -> float32' \
| gofmt -r 'blas.DrotmParams -> blas.SrotmParams' \
\
| gofmt -r 'f64.AxpyInc -> f32.AxpyInc' \
| gofmt -r 'f64.AxpyUnitary -> f32.AxpyUnitary' \
| gofmt -r 'f64.DotUnitary -> f32.DotUnitary' \
| gofmt -r 'f64.ScalInc -> f32.ScalInc' \
| gofmt -r 'f64.ScalUnitary -> f32.ScalUnitary' \
\
| sed -e "s_^\(func (Implementation) \)D\(.*\)\$_$WARNINGF32\1S\2_" \
-e 's_^// D_// S_' \
-e "s_^\(func (Implementation) \)Id\(.*\)\$_$WARNINGF32\1Is\2_" \
-e 's_^// Id_// Is_' \
-e 's_"gonum.org/v1/gonum/internal/asm/f64"_"gonum.org/v1/gonum/internal/asm/f32"_' \
-e 's_"math"_math "gonum.org/v1/gonum/internal/math32"_' \
>> level1float32.go
echo Generating level1cmplx64.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level1cmplx64.go
cat level1cmplx128.go \
| gofmt -r 'blas.Complex128Level1 -> blas.Complex64Level1' \
\
| gofmt -r 'float64 -> float32' \
| gofmt -r 'complex128 -> complex64' \
\
| gofmt -r 'c128.AxpyInc -> c64.AxpyInc' \
| gofmt -r 'c128.AxpyUnitary -> c64.AxpyUnitary' \
| gofmt -r 'c128.DotcInc -> c64.DotcInc' \
| gofmt -r 'c128.DotcUnitary -> c64.DotcUnitary' \
| gofmt -r 'c128.DotuInc -> c64.DotuInc' \
| gofmt -r 'c128.DotuUnitary -> c64.DotuUnitary' \
| gofmt -r 'c128.ScalInc -> c64.ScalInc' \
| gofmt -r 'c128.ScalUnitary -> c64.ScalUnitary' \
| gofmt -r 'dcabs1 -> scabs1' \
\
| sed -e "s_^\(func (Implementation) \)Zdot\(.*\)\$_$WARNINGC64\1Cdot\2_" \
-e 's_^// Zdot_// Cdot_' \
-e "s_^\(func (Implementation) \)Zdscal\(.*\)\$_$WARNINGC64\1Csscal\2_" \
-e 's_^// Zdscal_// Csscal_' \
-e "s_^\(func (Implementation) \)Z\(.*\)\$_$WARNINGC64\1C\2_" \
-e 's_^// Z_// C_' \
-e "s_^\(func (Implementation) \)Iz\(.*\)\$_$WARNINGC64\1Ic\2_" \
-e 's_^// Iz_// Ic_' \
-e "s_^\(func (Implementation) \)Dz\(.*\)\$_$WARNINGC64\1Sc\2_" \
-e 's_^// Dz_// Sc_' \
-e 's_"gonum.org/v1/gonum/internal/asm/c128"_"gonum.org/v1/gonum/internal/asm/c64"_' \
-e 's_"math"_math "gonum.org/v1/gonum/internal/math32"_' \
>> level1cmplx64.go
echo Generating level1float32_sdot.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level1float32_sdot.go
cat level1float64_ddot.go \
| gofmt -r 'float64 -> float32' \
\
| gofmt -r 'f64.DotInc -> f32.DotInc' \
| gofmt -r 'f64.DotUnitary -> f32.DotUnitary' \
\
| sed -e "s_^\(func (Implementation) \)D\(.*\)\$_$WARNINGF32\1S\2_" \
-e 's_^// D_// S_' \
-e 's_"gonum.org/v1/gonum/internal/asm/f64"_"gonum.org/v1/gonum/internal/asm/f32"_' \
>> level1float32_sdot.go
echo Generating level1float32_dsdot.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level1float32_dsdot.go
cat level1float64_ddot.go \
| gofmt -r '[]float64 -> []float32' \
\
| gofmt -r 'f64.DotInc -> f32.DdotInc' \
| gofmt -r 'f64.DotUnitary -> f32.DdotUnitary' \
\
| sed -e "s_^\(func (Implementation) \)D\(.*\)\$_$WARNINGF32\1Ds\2_" \
-e 's_^// D_// Ds_' \
-e 's_"gonum.org/v1/gonum/internal/asm/f64"_"gonum.org/v1/gonum/internal/asm/f32"_' \
>> level1float32_dsdot.go
echo Generating level1float32_sdsdot.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level1float32_sdsdot.go
cat level1float64_ddot.go \
| gofmt -r 'float64 -> float32' \
\
| gofmt -r 'f64.DotInc(x, y, f(n), f(incX), f(incY), f(ix), f(iy)) -> alpha + float32(f32.DdotInc(x, y, f(n), f(incX), f(incY), f(ix), f(iy)))' \
| gofmt -r 'f64.DotUnitary(a, b) -> alpha + float32(f32.DdotUnitary(a, b))' \
\
| sed -e "s_^\(func (Implementation) \)D\(.*\)\$_$WARNINGF32\1Sds\2_" \
-e 's_^// D\(.*\)$_// Sds\1 plus a constant_' \
-e 's_\\sum_alpha + \\sum_' \
-e 's/n int/n int, alpha float32/' \
-e 's_"gonum.org/v1/gonum/internal/asm/f64"_"gonum.org/v1/gonum/internal/asm/f32"_' \
>> level1float32_sdsdot.go
# Level2 routines.
echo Generating level2float32.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level2float32.go
cat level2float64.go \
| gofmt -r 'blas.Float64Level2 -> blas.Float32Level2' \
\
| gofmt -r 'float64 -> float32' \
\
| gofmt -r 'f64.AxpyInc -> f32.AxpyInc' \
| gofmt -r 'f64.AxpyIncTo -> f32.AxpyIncTo' \
| gofmt -r 'f64.AxpyUnitary -> f32.AxpyUnitary' \
| gofmt -r 'f64.AxpyUnitaryTo -> f32.AxpyUnitaryTo' \
| gofmt -r 'f64.DotInc -> f32.DotInc' \
| gofmt -r 'f64.DotUnitary -> f32.DotUnitary' \
| gofmt -r 'f64.ScalInc -> f32.ScalInc' \
| gofmt -r 'f64.ScalUnitary -> f32.ScalUnitary' \
| gofmt -r 'f64.Ger -> f32.Ger' \
\
| sed -e "s_^\(func (Implementation) \)D\(.*\)\$_$WARNINGF32\1S\2_" \
-e 's_^// D_// S_' \
-e 's_"gonum.org/v1/gonum/internal/asm/f64"_"gonum.org/v1/gonum/internal/asm/f32"_' \
>> level2float32.go
echo Generating level2cmplx64.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level2cmplx64.go
cat level2cmplx128.go \
| gofmt -r 'blas.Complex128Level2 -> blas.Complex64Level2' \
\
| gofmt -r 'complex128 -> complex64' \
| gofmt -r 'float64 -> float32' \
\
| gofmt -r 'c128.AxpyInc -> c64.AxpyInc' \
| gofmt -r 'c128.AxpyUnitary -> c64.AxpyUnitary' \
| gofmt -r 'c128.DotuInc -> c64.DotuInc' \
| gofmt -r 'c128.DotuUnitary -> c64.DotuUnitary' \
| gofmt -r 'c128.ScalInc -> c64.ScalInc' \
| gofmt -r 'c128.ScalUnitary -> c64.ScalUnitary' \
\
| sed -e "s_^\(func (Implementation) \)Z\(.*\)\$_$WARNINGC64\1C\2_" \
-e 's_^// Z_// C_' \
-e 's_"gonum.org/v1/gonum/internal/asm/c128"_"gonum.org/v1/gonum/internal/asm/c64"_' \
-e 's_"math/cmplx"_cmplx "gonum.org/v1/gonum/internal/cmplx64"_' \
>> level2cmplx64.go
# Level3 routines.
echo Generating level3float32.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level3float32.go
cat level3float64.go \
| gofmt -r 'blas.Float64Level3 -> blas.Float32Level3' \
\
| gofmt -r 'float64 -> float32' \
\
| gofmt -r 'f64.AxpyUnitaryTo -> f32.AxpyUnitaryTo' \
| gofmt -r 'f64.AxpyUnitary -> f32.AxpyUnitary' \
| gofmt -r 'f64.DotUnitary -> f32.DotUnitary' \
| gofmt -r 'f64.ScalUnitary -> f32.ScalUnitary' \
\
| sed -e "s_^\(func (Implementation) \)D\(.*\)\$_$WARNINGF32\1S\2_" \
-e 's_^// D_// S_' \
-e 's_"gonum.org/v1/gonum/internal/asm/f64"_"gonum.org/v1/gonum/internal/asm/f32"_' \
>> level3float32.go
echo Generating sgemm.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > sgemm.go
cat dgemm.go \
| gofmt -r 'float64 -> float32' \
| gofmt -r 'sliceView64 -> sliceView32' \
\
| gofmt -r 'dgemmParallel -> sgemmParallel' \
| gofmt -r 'computeNumBlocks64 -> computeNumBlocks32' \
| gofmt -r 'dgemmSerial -> sgemmSerial' \
| gofmt -r 'dgemmSerialNotNot -> sgemmSerialNotNot' \
| gofmt -r 'dgemmSerialTransNot -> sgemmSerialTransNot' \
| gofmt -r 'dgemmSerialNotTrans -> sgemmSerialNotTrans' \
| gofmt -r 'dgemmSerialTransTrans -> sgemmSerialTransTrans' \
\
| gofmt -r 'f64.AxpyInc -> f32.AxpyInc' \
| gofmt -r 'f64.AxpyUnitary -> f32.AxpyUnitary' \
| gofmt -r 'f64.DotUnitary -> f32.DotUnitary' \
\
| sed -e "s_^\(func (Implementation) \)D\(.*\)\$_$WARNINGF32\1S\2_" \
-e 's_^// D_// S_' \
-e 's_^// d_// s_' \
-e 's_"gonum.org/v1/gonum/internal/asm/f64"_"gonum.org/v1/gonum/internal/asm/f32"_' \
>> sgemm.go
echo Generating level3cmplx64.go
echo -e '// Code generated by "go generate gonum.org/v1/gonum/blas/gonum”; DO NOT EDIT.\n' > level3cmplx64.go
cat level3cmplx128.go \
| gofmt -r 'blas.Complex128Level3 -> blas.Complex64Level3' \
\
| gofmt -r 'float64 -> float32' \
| gofmt -r 'complex128 -> complex64' \
\
| gofmt -r 'c128.ScalUnitary -> c64.ScalUnitary' \
| gofmt -r 'c128.DscalUnitary -> c64.SscalUnitary' \
| gofmt -r 'c128.DotcUnitary -> c64.DotcUnitary' \
| gofmt -r 'c128.AxpyUnitary -> c64.AxpyUnitary' \
| gofmt -r 'c128.DotuUnitary -> c64.DotuUnitary' \
\
| sed -e "s_^\(func (Implementation) \)Z\(.*\)\$_$WARNINGC64\1C\2_" \
-e 's_^// Z_// C_' \
-e 's_"gonum.org/v1/gonum/internal/asm/c128"_"gonum.org/v1/gonum/internal/asm/c64"_' \
-e 's_"math/cmplx"_cmplx "gonum.org/v1/gonum/internal/cmplx64"_' \
>> level3cmplx64.go

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vendor/gonum.org/v1/gonum/floats/README.md generated vendored
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@@ -1,4 +0,0 @@
# Gonum floats [![GoDoc](https://godoc.org/gonum.org/v1/gonum/floats?status.svg)](https://godoc.org/gonum.org/v1/gonum/floats)
Package floats provides a set of helper routines for dealing with slices of float64.
The functions avoid allocations to allow for use within tight loops without garbage collection overhead.

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vendor/gonum.org/v1/gonum/floats/doc.go generated vendored
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@@ -1,11 +0,0 @@
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package floats provides a set of helper routines for dealing with slices
// of float64. The functions avoid allocations to allow for use within tight
// loops without garbage collection overhead.
//
// The convention used is that when a slice is being modified in place, it has
// the name dst.
package floats // import "gonum.org/v1/gonum/floats"

933
vendor/gonum.org/v1/gonum/floats/floats.go generated vendored
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@@ -1,933 +0,0 @@
// Copyright ©2013 The Gonum Authors. All rights reserved.
// Use of this code is governed by a BSD-style
// license that can be found in the LICENSE file
package floats
import (
"errors"
"math"
"sort"
"strconv"
"gonum.org/v1/gonum/internal/asm/f64"
)
// Add adds, element-wise, the elements of s and dst, and stores in dst.
// Panics if the lengths of dst and s do not match.
func Add(dst, s []float64) {
if len(dst) != len(s) {
panic("floats: length of the slices do not match")
}
f64.AxpyUnitaryTo(dst, 1, s, dst)
}
// AddTo adds, element-wise, the elements of s and t and
// stores the result in dst. Panics if the lengths of s, t and dst do not match.
func AddTo(dst, s, t []float64) []float64 {
if len(s) != len(t) {
panic("floats: length of adders do not match")
}
if len(dst) != len(s) {
panic("floats: length of destination does not match length of adder")
}
f64.AxpyUnitaryTo(dst, 1, s, t)
return dst
}
// AddConst adds the scalar c to all of the values in dst.
func AddConst(c float64, dst []float64) {
f64.AddConst(c, dst)
}
// AddScaled performs dst = dst + alpha * s.
// It panics if the lengths of dst and s are not equal.
func AddScaled(dst []float64, alpha float64, s []float64) {
if len(dst) != len(s) {
panic("floats: length of destination and source to not match")
}
f64.AxpyUnitaryTo(dst, alpha, s, dst)
}
// AddScaledTo performs dst = y + alpha * s, where alpha is a scalar,
// and dst, y and s are all slices.
// It panics if the lengths of dst, y, and s are not equal.
//
// At the return of the function, dst[i] = y[i] + alpha * s[i]
func AddScaledTo(dst, y []float64, alpha float64, s []float64) []float64 {
if len(dst) != len(s) || len(dst) != len(y) {
panic("floats: lengths of slices do not match")
}
f64.AxpyUnitaryTo(dst, alpha, s, y)
return dst
}
// argsort is a helper that implements sort.Interface, as used by
// Argsort.
type argsort struct {
s []float64
inds []int
}
func (a argsort) Len() int {
return len(a.s)
}
func (a argsort) Less(i, j int) bool {
return a.s[i] < a.s[j]
}
func (a argsort) Swap(i, j int) {
a.s[i], a.s[j] = a.s[j], a.s[i]
a.inds[i], a.inds[j] = a.inds[j], a.inds[i]
}
// Argsort sorts the elements of dst while tracking their original order.
// At the conclusion of Argsort, dst will contain the original elements of dst
// but sorted in increasing order, and inds will contain the original position
// of the elements in the slice such that dst[i] = origDst[inds[i]].
// It panics if the lengths of dst and inds do not match.
func Argsort(dst []float64, inds []int) {
if len(dst) != len(inds) {
panic("floats: length of inds does not match length of slice")
}
for i := range dst {
inds[i] = i
}
a := argsort{s: dst, inds: inds}
sort.Sort(a)
}
// Count applies the function f to every element of s and returns the number
// of times the function returned true.
func Count(f func(float64) bool, s []float64) int {
var n int
for _, val := range s {
if f(val) {
n++
}
}
return n
}
// CumProd finds the cumulative product of the first i elements in
// s and puts them in place into the ith element of the
// destination dst. A panic will occur if the lengths of arguments
// do not match.
//
// At the return of the function, dst[i] = s[i] * s[i-1] * s[i-2] * ...
func CumProd(dst, s []float64) []float64 {
if len(dst) != len(s) {
panic("floats: length of destination does not match length of the source")
}
if len(dst) == 0 {
return dst
}
return f64.CumProd(dst, s)
}
// CumSum finds the cumulative sum of the first i elements in
// s and puts them in place into the ith element of the
// destination dst. A panic will occur if the lengths of arguments
// do not match.
//
// At the return of the function, dst[i] = s[i] + s[i-1] + s[i-2] + ...
func CumSum(dst, s []float64) []float64 {
if len(dst) != len(s) {
panic("floats: length of destination does not match length of the source")
}
if len(dst) == 0 {
return dst
}
return f64.CumSum(dst, s)
}
// Distance computes the L-norm of s - t. See Norm for special cases.
// A panic will occur if the lengths of s and t do not match.
func Distance(s, t []float64, L float64) float64 {
if len(s) != len(t) {
panic("floats: slice lengths do not match")
}
if len(s) == 0 {
return 0
}
var norm float64
if L == 2 {
for i, v := range s {
diff := t[i] - v
norm = math.Hypot(norm, diff)
}
return norm
}
if L == 1 {
for i, v := range s {
norm += math.Abs(t[i] - v)
}
return norm
}
if math.IsInf(L, 1) {
for i, v := range s {
absDiff := math.Abs(t[i] - v)
if absDiff > norm {
norm = absDiff
}
}
return norm
}
for i, v := range s {
norm += math.Pow(math.Abs(t[i]-v), L)
}
return math.Pow(norm, 1/L)
}
// Div performs element-wise division dst / s
// and stores the value in dst. It panics if the
// lengths of s and t are not equal.
func Div(dst, s []float64) {
if len(dst) != len(s) {
panic("floats: slice lengths do not match")
}
f64.Div(dst, s)
}
// DivTo performs element-wise division s / t
// and stores the value in dst. It panics if the
// lengths of s, t, and dst are not equal.
func DivTo(dst, s, t []float64) []float64 {
if len(s) != len(t) || len(dst) != len(t) {
panic("floats: slice lengths do not match")
}
return f64.DivTo(dst, s, t)
}
// Dot computes the dot product of s1 and s2, i.e.
// sum_{i = 1}^N s1[i]*s2[i].
// A panic will occur if lengths of arguments do not match.
func Dot(s1, s2 []float64) float64 {
if len(s1) != len(s2) {
panic("floats: lengths of the slices do not match")
}
return f64.DotUnitary(s1, s2)
}
// Equal returns true if the slices have equal lengths and
// all elements are numerically identical.
func Equal(s1, s2 []float64) bool {
if len(s1) != len(s2) {
return false
}
for i, val := range s1 {
if s2[i] != val {
return false
}
}
return true
}
// EqualApprox returns true if the slices have equal lengths and
// all element pairs have an absolute tolerance less than tol or a
// relative tolerance less than tol.
func EqualApprox(s1, s2 []float64, tol float64) bool {
if len(s1) != len(s2) {
return false
}
for i, a := range s1 {
if !EqualWithinAbsOrRel(a, s2[i], tol, tol) {
return false
}
}
return true
}
// EqualFunc returns true if the slices have the same lengths
// and the function returns true for all element pairs.
func EqualFunc(s1, s2 []float64, f func(float64, float64) bool) bool {
if len(s1) != len(s2) {
return false
}
for i, val := range s1 {
if !f(val, s2[i]) {
return false
}
}
return true
}
// EqualWithinAbs returns true if a and b have an absolute
// difference of less than tol.
func EqualWithinAbs(a, b, tol float64) bool {
return a == b || math.Abs(a-b) <= tol
}
const minNormalFloat64 = 2.2250738585072014e-308
// EqualWithinRel returns true if the difference between a and b
// is not greater than tol times the greater value.
func EqualWithinRel(a, b, tol float64) bool {
if a == b {
return true
}
delta := math.Abs(a - b)
if delta <= minNormalFloat64 {
return delta <= tol*minNormalFloat64
}
// We depend on the division in this relationship to identify
// infinities (we rely on the NaN to fail the test) otherwise
// we compare Infs of the same sign and evaluate Infs as equal
// independent of sign.
return delta/math.Max(math.Abs(a), math.Abs(b)) <= tol
}
// EqualWithinAbsOrRel returns true if a and b are equal to within
// the absolute tolerance.
func EqualWithinAbsOrRel(a, b, absTol, relTol float64) bool {
if EqualWithinAbs(a, b, absTol) {
return true
}
return EqualWithinRel(a, b, relTol)
}
// EqualWithinULP returns true if a and b are equal to within
// the specified number of floating point units in the last place.
func EqualWithinULP(a, b float64, ulp uint) bool {
if a == b {
return true
}
if math.IsNaN(a) || math.IsNaN(b) {
return false
}
if math.Signbit(a) != math.Signbit(b) {
return math.Float64bits(math.Abs(a))+math.Float64bits(math.Abs(b)) <= uint64(ulp)
}
return ulpDiff(math.Float64bits(a), math.Float64bits(b)) <= uint64(ulp)
}
func ulpDiff(a, b uint64) uint64 {
if a > b {
return a - b
}
return b - a
}
// EqualLengths returns true if all of the slices have equal length,
// and false otherwise. Returns true if there are no input slices.
func EqualLengths(slices ...[]float64) bool {
// This length check is needed: http://play.golang.org/p/sdty6YiLhM
if len(slices) == 0 {
return true
}
l := len(slices[0])
for i := 1; i < len(slices); i++ {
if len(slices[i]) != l {
return false
}
}
return true
}
// Find applies f to every element of s and returns the indices of the first
// k elements for which the f returns true, or all such elements
// if k < 0.
// Find will reslice inds to have 0 length, and will append
// found indices to inds.
// If k > 0 and there are fewer than k elements in s satisfying f,
// all of the found elements will be returned along with an error.
// At the return of the function, the input inds will be in an undetermined state.
func Find(inds []int, f func(float64) bool, s []float64, k int) ([]int, error) {
// inds is also returned to allow for calling with nil
// Reslice inds to have zero length
inds = inds[:0]
// If zero elements requested, can just return
if k == 0 {
return inds, nil
}
// If k < 0, return all of the found indices
if k < 0 {
for i, val := range s {
if f(val) {
inds = append(inds, i)
}
}
return inds, nil
}
// Otherwise, find the first k elements
nFound := 0
for i, val := range s {
if f(val) {
inds = append(inds, i)
nFound++
if nFound == k {
return inds, nil
}
}
}
// Finished iterating over the loop, which means k elements were not found
return inds, errors.New("floats: insufficient elements found")
}
// HasNaN returns true if the slice s has any values that are NaN and false
// otherwise.
func HasNaN(s []float64) bool {
for _, v := range s {
if math.IsNaN(v) {
return true
}
}
return false
}
// LogSpan returns a set of n equally spaced points in log space between,
// l and u where N is equal to len(dst). The first element of the
// resulting dst will be l and the final element of dst will be u.
// Panics if len(dst) < 2
// Note that this call will return NaNs if either l or u are negative, and
// will return all zeros if l or u is zero.
// Also returns the mutated slice dst, so that it can be used in range, like:
//
// for i, x := range LogSpan(dst, l, u) { ... }
func LogSpan(dst []float64, l, u float64) []float64 {
Span(dst, math.Log(l), math.Log(u))
for i := range dst {
dst[i] = math.Exp(dst[i])
}
return dst
}
// LogSumExp returns the log of the sum of the exponentials of the values in s.
// Panics if s is an empty slice.
func LogSumExp(s []float64) float64 {
// Want to do this in a numerically stable way which avoids
// overflow and underflow
// First, find the maximum value in the slice.
maxval := Max(s)
if math.IsInf(maxval, 0) {
// If it's infinity either way, the logsumexp will be infinity as well
// returning now avoids NaNs
return maxval
}
var lse float64
// Compute the sumexp part
for _, val := range s {
lse += math.Exp(val - maxval)
}
// Take the log and add back on the constant taken out
return math.Log(lse) + maxval
}
// Max returns the maximum value in the input slice. If the slice is empty, Max will panic.
func Max(s []float64) float64 {
return s[MaxIdx(s)]
}
// MaxIdx returns the index of the maximum value in the input slice. If several
// entries have the maximum value, the first such index is returned. If the slice
// is empty, MaxIdx will panic.
func MaxIdx(s []float64) int {
if len(s) == 0 {
panic("floats: zero slice length")
}
max := math.NaN()
var ind int
for i, v := range s {
if math.IsNaN(v) {
continue
}
if v > max || math.IsNaN(max) {
max = v
ind = i
}
}
return ind
}
// Min returns the maximum value in the input slice. If the slice is empty, Min will panic.
func Min(s []float64) float64 {
return s[MinIdx(s)]
}
// MinIdx returns the index of the minimum value in the input slice. If several
// entries have the maximum value, the first such index is returned. If the slice
// is empty, MinIdx will panic.
func MinIdx(s []float64) int {
if len(s) == 0 {
panic("floats: zero slice length")
}
min := math.NaN()
var ind int
for i, v := range s {
if math.IsNaN(v) {
continue
}
if v < min || math.IsNaN(min) {
min = v
ind = i
}
}
return ind
}
// Mul performs element-wise multiplication between dst
// and s and stores the value in dst. Panics if the
// lengths of s and t are not equal.
func Mul(dst, s []float64) {
if len(dst) != len(s) {
panic("floats: slice lengths do not match")
}
for i, val := range s {
dst[i] *= val
}
}
// MulTo performs element-wise multiplication between s
// and t and stores the value in dst. Panics if the
// lengths of s, t, and dst are not equal.
func MulTo(dst, s, t []float64) []float64 {
if len(s) != len(t) || len(dst) != len(t) {
panic("floats: slice lengths do not match")
}
for i, val := range t {
dst[i] = val * s[i]
}
return dst
}
const (
nanBits = 0x7ff8000000000000
nanMask = 0xfff8000000000000
)
// NaNWith returns an IEEE 754 "quiet not-a-number" value with the
// payload specified in the low 51 bits of payload.
// The NaN returned by math.NaN has a bit pattern equal to NaNWith(1).
func NaNWith(payload uint64) float64 {
return math.Float64frombits(nanBits | (payload &^ nanMask))
}
// NaNPayload returns the lowest 51 bits payload of an IEEE 754 "quiet
// not-a-number". For values of f other than quiet-NaN, NaNPayload
// returns zero and false.
func NaNPayload(f float64) (payload uint64, ok bool) {
b := math.Float64bits(f)
if b&nanBits != nanBits {
return 0, false
}
return b &^ nanMask, true
}
// NearestIdx returns the index of the element in s
// whose value is nearest to v. If several such
// elements exist, the lowest index is returned.
// NearestIdx panics if len(s) == 0.
func NearestIdx(s []float64, v float64) int {
if len(s) == 0 {
panic("floats: zero length slice")
}
switch {
case math.IsNaN(v):
return 0
case math.IsInf(v, 1):
return MaxIdx(s)
case math.IsInf(v, -1):
return MinIdx(s)
}
var ind int
dist := math.NaN()
for i, val := range s {
newDist := math.Abs(v - val)
// A NaN distance will not be closer.
if math.IsNaN(newDist) {
continue
}
if newDist < dist || math.IsNaN(dist) {
dist = newDist
ind = i
}
}
return ind
}
// NearestIdxForSpan return the index of a hypothetical vector created
// by Span with length n and bounds l and u whose value is closest
// to v. That is, NearestIdxForSpan(n, l, u, v) is equivalent to
// Nearest(Span(make([]float64, n),l,u),v) without an allocation.
// NearestIdxForSpan panics if n is less than two.
func NearestIdxForSpan(n int, l, u float64, v float64) int {
if n <= 1 {
panic("floats: span must have length >1")
}
if math.IsNaN(v) {
return 0
}
// Special cases for Inf and NaN.
switch {
case math.IsNaN(l) && !math.IsNaN(u):
return n - 1
case math.IsNaN(u):
return 0
case math.IsInf(l, 0) && math.IsInf(u, 0):
if l == u {
return 0
}
if n%2 == 1 {
if !math.IsInf(v, 0) {
return n / 2
}
if math.Copysign(1, v) == math.Copysign(1, l) {
return 0
}
return n/2 + 1
}
if math.Copysign(1, v) == math.Copysign(1, l) {
return 0
}
return n / 2
case math.IsInf(l, 0):
if v == l {
return 0
}
return n - 1
case math.IsInf(u, 0):
if v == u {
return n - 1
}
return 0
case math.IsInf(v, -1):
if l <= u {
return 0
}
return n - 1
case math.IsInf(v, 1):
if u <= l {
return 0
}
return n - 1
}
// Special cases for v outside (l, u) and (u, l).
switch {
case l < u:
if v <= l {
return 0
}
if v >= u {
return n - 1
}
case l > u:
if v >= l {
return 0
}
if v <= u {
return n - 1
}
default:
return 0
}
// Can't guarantee anything about exactly halfway between
// because of floating point weirdness.
return int((float64(n)-1)/(u-l)*(v-l) + 0.5)
}
// Norm returns the L norm of the slice S, defined as
// (sum_{i=1}^N s[i]^L)^{1/L}
// Special cases:
// L = math.Inf(1) gives the maximum absolute value.
// Does not correctly compute the zero norm (use Count).
func Norm(s []float64, L float64) float64 {
// Should this complain if L is not positive?
// Should this be done in log space for better numerical stability?
// would be more cost
// maybe only if L is high?
if len(s) == 0 {
return 0
}
if L == 2 {
twoNorm := math.Abs(s[0])
for i := 1; i < len(s); i++ {
twoNorm = math.Hypot(twoNorm, s[i])
}
return twoNorm
}
var norm float64
if L == 1 {
for _, val := range s {
norm += math.Abs(val)
}
return norm
}
if math.IsInf(L, 1) {
for _, val := range s {
norm = math.Max(norm, math.Abs(val))
}
return norm
}
for _, val := range s {
norm += math.Pow(math.Abs(val), L)
}
return math.Pow(norm, 1/L)
}
// ParseWithNA converts the string s to a float64 in v.
// If s equals missing, w is returned as 0, otherwise 1.
func ParseWithNA(s, missing string) (v, w float64, err error) {
if s == missing {
return 0, 0, nil
}
v, err = strconv.ParseFloat(s, 64)
if err == nil {
w = 1
}
return v, w, err
}
// Prod returns the product of the elements of the slice.
// Returns 1 if len(s) = 0.
func Prod(s []float64) float64 {
prod := 1.0
for _, val := range s {
prod *= val
}
return prod
}
// Reverse reverses the order of elements in the slice.
func Reverse(s []float64) {
for i, j := 0, len(s)-1; i < j; i, j = i+1, j-1 {
s[i], s[j] = s[j], s[i]
}
}
// Round returns the half away from zero rounded value of x with prec precision.
//
// Special cases are:
// Round(±0) = +0
// Round(±Inf) = ±Inf
// Round(NaN) = NaN
func Round(x float64, prec int) float64 {
if x == 0 {
// Make sure zero is returned
// without the negative bit set.
return 0
}
// Fast path for positive precision on integers.
if prec >= 0 && x == math.Trunc(x) {
return x
}
pow := math.Pow10(prec)
intermed := x * pow
if math.IsInf(intermed, 0) {
return x
}
if x < 0 {
x = math.Ceil(intermed - 0.5)
} else {
x = math.Floor(intermed + 0.5)
}
if x == 0 {
return 0
}
return x / pow
}
// RoundEven returns the half even rounded value of x with prec precision.
//
// Special cases are:
// RoundEven(±0) = +0
// RoundEven(±Inf) = ±Inf
// RoundEven(NaN) = NaN
func RoundEven(x float64, prec int) float64 {
if x == 0 {
// Make sure zero is returned
// without the negative bit set.
return 0
}
// Fast path for positive precision on integers.
if prec >= 0 && x == math.Trunc(x) {
return x
}
pow := math.Pow10(prec)
intermed := x * pow
if math.IsInf(intermed, 0) {
return x
}
if isHalfway(intermed) {
correction, _ := math.Modf(math.Mod(intermed, 2))
intermed += correction
if intermed > 0 {
x = math.Floor(intermed)
} else {
x = math.Ceil(intermed)
}
} else {
if x < 0 {
x = math.Ceil(intermed - 0.5)
} else {
x = math.Floor(intermed + 0.5)
}
}
if x == 0 {
return 0
}
return x / pow
}
func isHalfway(x float64) bool {
_, frac := math.Modf(x)
frac = math.Abs(frac)
return frac == 0.5 || (math.Nextafter(frac, math.Inf(-1)) < 0.5 && math.Nextafter(frac, math.Inf(1)) > 0.5)
}
// Same returns true if the input slices have the same length and the all elements
// have the same value with NaN treated as the same.
func Same(s, t []float64) bool {
if len(s) != len(t) {
return false
}
for i, v := range s {
w := t[i]
if v != w && !(math.IsNaN(v) && math.IsNaN(w)) {
return false
}
}
return true
}
// Scale multiplies every element in dst by the scalar c.
func Scale(c float64, dst []float64) {
if len(dst) > 0 {
f64.ScalUnitary(c, dst)
}
}
// ScaleTo multiplies the elements in s by c and stores the result in dst.
func ScaleTo(dst []float64, c float64, s []float64) []float64 {
if len(dst) != len(s) {
panic("floats: lengths of slices do not match")
}
if len(dst) > 0 {
f64.ScalUnitaryTo(dst, c, s)
}
return dst
}
// Span returns a set of N equally spaced points between l and u, where N
// is equal to the length of the destination. The first element of the destination
// is l, the final element of the destination is u.
//
// Panics if len(dst) < 2.
//
// Span also returns the mutated slice dst, so that it can be used in range expressions,
// like:
//
// for i, x := range Span(dst, l, u) { ... }
func Span(dst []float64, l, u float64) []float64 {
n := len(dst)
if n < 2 {
panic("floats: destination must have length >1")
}
// Special cases for Inf and NaN.
switch {
case math.IsNaN(l):
for i := range dst[:len(dst)-1] {
dst[i] = math.NaN()
}
dst[len(dst)-1] = u
return dst
case math.IsNaN(u):
for i := range dst[1:] {
dst[i+1] = math.NaN()
}
dst[0] = l
return dst
case math.IsInf(l, 0) && math.IsInf(u, 0):
for i := range dst[:len(dst)/2] {
dst[i] = l
dst[len(dst)-i-1] = u
}
if len(dst)%2 == 1 {
if l != u {
dst[len(dst)/2] = 0
} else {
dst[len(dst)/2] = l
}
}
return dst
case math.IsInf(l, 0):
for i := range dst[:len(dst)-1] {
dst[i] = l
}
dst[len(dst)-1] = u
return dst
case math.IsInf(u, 0):
for i := range dst[1:] {
dst[i+1] = u
}
dst[0] = l
return dst
}
step := (u - l) / float64(n-1)
for i := range dst {
dst[i] = l + step*float64(i)
}
return dst
}
// Sub subtracts, element-wise, the elements of s from dst. Panics if
// the lengths of dst and s do not match.
func Sub(dst, s []float64) {
if len(dst) != len(s) {
panic("floats: length of the slices do not match")
}
f64.AxpyUnitaryTo(dst, -1, s, dst)
}
// SubTo subtracts, element-wise, the elements of t from s and
// stores the result in dst. Panics if the lengths of s, t and dst do not match.
func SubTo(dst, s, t []float64) []float64 {
if len(s) != len(t) {
panic("floats: length of subtractor and subtractee do not match")
}
if len(dst) != len(s) {
panic("floats: length of destination does not match length of subtractor")
}
f64.AxpyUnitaryTo(dst, -1, t, s)
return dst
}
// Sum returns the sum of the elements of the slice.
func Sum(s []float64) float64 {
return f64.Sum(s)
}
// Within returns the first index i where s[i] <= v < s[i+1]. Within panics if:
// - len(s) < 2
// - s is not sorted
func Within(s []float64, v float64) int {
if len(s) < 2 {
panic("floats: slice length less than 2")
}
if !sort.Float64sAreSorted(s) {
panic("floats: input slice not sorted")
}
if v < s[0] || v >= s[len(s)-1] || math.IsNaN(v) {
return -1
}
for i, f := range s[1:] {
if v < f {
return i
}
}
return -1
}

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vendor/gonum.org/v1/gonum/graph/.gitignore generated vendored
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test.out

3
vendor/gonum.org/v1/gonum/graph/README.md generated vendored
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# Gonum graph [![GoDoc](https://godoc.org/gonum.org/v1/gonum/graph?status.svg)](https://godoc.org/gonum.org/v1/gonum/graph)
This is a generalized graph package for the Go language.

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vendor/gonum.org/v1/gonum/graph/doc.go generated vendored
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// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package graph defines graph interfaces.
//
// Routines to test contract compliance by user implemented graph types
// are available in gonum.org/v1/gonum/graph/testgraph.
package graph // import "gonum.org/v1/gonum/graph"

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vendor/gonum.org/v1/gonum/graph/graph.go generated vendored
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// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package graph
// Node is a graph node. It returns a graph-unique integer ID.
type Node interface {
ID() int64
}
// Edge is a graph edge. In directed graphs, the direction of the
// edge is given from -> to, otherwise the edge is semantically
// unordered.
type Edge interface {
// From returns the from node of the edge.
From() Node
// To returns the to node of the edge.
To() Node
// ReversedEdge returns an edge that has
// the end points of the receiver swapped.
ReversedEdge() Edge
}
// WeightedEdge is a weighted graph edge. In directed graphs, the direction
// of the edge is given from -> to, otherwise the edge is semantically
// unordered.
type WeightedEdge interface {
Edge
Weight() float64
}
// Graph is a generalized graph.
type Graph interface {
// Node returns the node with the given ID if it exists
// in the graph, and nil otherwise.
Node(id int64) Node
// Nodes returns all the nodes in the graph.
//
// Nodes must not return nil.
Nodes() Nodes
// From returns all nodes that can be reached directly
// from the node with the given ID.
//
// From must not return nil.
From(id int64) Nodes
// HasEdgeBetween returns whether an edge exists between
// nodes with IDs xid and yid without considering direction.
HasEdgeBetween(xid, yid int64) bool
// Edge returns the edge from u to v, with IDs uid and vid,
// if such an edge exists and nil otherwise. The node v
// must be directly reachable from u as defined by the
// From method.
Edge(uid, vid int64) Edge
}
// Weighted is a weighted graph.
type Weighted interface {
Graph
// WeightedEdge returns the weighted edge from u to v
// with IDs uid and vid if such an edge exists and
// nil otherwise. The node v must be directly
// reachable from u as defined by the From method.
WeightedEdge(uid, vid int64) WeightedEdge
// Weight returns the weight for the edge between
// x and y with IDs xid and yid if Edge(xid, yid)
// returns a non-nil Edge.
// If x and y are the same node or there is no
// joining edge between the two nodes the weight
// value returned is implementation dependent.
// Weight returns true if an edge exists between
// x and y or if x and y have the same ID, false
// otherwise.
Weight(xid, yid int64) (w float64, ok bool)
}
// Undirected is an undirected graph.
type Undirected interface {
Graph
// EdgeBetween returns the edge between nodes x and y
// with IDs xid and yid.
EdgeBetween(xid, yid int64) Edge
}
// WeightedUndirected is a weighted undirected graph.
type WeightedUndirected interface {
Weighted
// WeightedEdgeBetween returns the edge between nodes
// x and y with IDs xid and yid.
WeightedEdgeBetween(xid, yid int64) WeightedEdge
}
// Directed is a directed graph.
type Directed interface {
Graph
// HasEdgeFromTo returns whether an edge exists
// in the graph from u to v with IDs uid and vid.
HasEdgeFromTo(uid, vid int64) bool
// To returns all nodes that can reach directly
// to the node with the given ID.
//
// To must not return nil.
To(id int64) Nodes
}
// WeightedDirected is a weighted directed graph.
type WeightedDirected interface {
Weighted
// HasEdgeFromTo returns whether an edge exists
// in the graph from u to v with the IDs uid and
// vid.
HasEdgeFromTo(uid, vid int64) bool
// To returns all nodes that can reach directly
// to the node with the given ID.
//
// To must not return nil.
To(id int64) Nodes
}
// NodeAdder is an interface for adding arbitrary nodes to a graph.
type NodeAdder interface {
// NewNode returns a new Node with a unique
// arbitrary ID.
NewNode() Node
// AddNode adds a node to the graph. AddNode panics if
// the added node ID matches an existing node ID.
AddNode(Node)
}
// NodeRemover is an interface for removing nodes from a graph.
type NodeRemover interface {
// RemoveNode removes the node with the given ID
// from the graph, as well as any edges attached
// to it. If the node is not in the graph it is
// a no-op.
RemoveNode(id int64)
}
// EdgeAdder is an interface for adding edges to a graph.
type EdgeAdder interface {
// NewEdge returns a new Edge from the source to the destination node.
NewEdge(from, to Node) Edge
// SetEdge adds an edge from one node to another.
// If the graph supports node addition the nodes
// will be added if they do not exist, otherwise
// SetEdge will panic.
// The behavior of an EdgeAdder when the IDs
// returned by e.From() and e.To() are equal is
// implementation-dependent.
// Whether e, e.From() and e.To() are stored
// within the graph is implementation dependent.
SetEdge(e Edge)
}
// WeightedEdgeAdder is an interface for adding edges to a graph.
type WeightedEdgeAdder interface {
// NewWeightedEdge returns a new WeightedEdge from
// the source to the destination node.
NewWeightedEdge(from, to Node, weight float64) WeightedEdge
// SetWeightedEdge adds an edge from one node to
// another. If the graph supports node addition
// the nodes will be added if they do not exist,
// otherwise SetWeightedEdge will panic.
// The behavior of a WeightedEdgeAdder when the IDs
// returned by e.From() and e.To() are equal is
// implementation-dependent.
// Whether e, e.From() and e.To() are stored
// within the graph is implementation dependent.
SetWeightedEdge(e WeightedEdge)
}
// EdgeRemover is an interface for removing nodes from a graph.
type EdgeRemover interface {
// RemoveEdge removes the edge with the given end
// IDs, leaving the terminal nodes. If the edge
// does not exist it is a no-op.
RemoveEdge(fid, tid int64)
}
// Builder is a graph that can have nodes and edges added.
type Builder interface {
NodeAdder
EdgeAdder
}
// WeightedBuilder is a graph that can have nodes and weighted edges added.
type WeightedBuilder interface {
NodeAdder
WeightedEdgeAdder
}
// UndirectedBuilder is an undirected graph builder.
type UndirectedBuilder interface {
Undirected
Builder
}
// UndirectedWeightedBuilder is an undirected weighted graph builder.
type UndirectedWeightedBuilder interface {
Undirected
WeightedBuilder
}
// DirectedBuilder is a directed graph builder.
type DirectedBuilder interface {
Directed
Builder
}
// DirectedWeightedBuilder is a directed weighted graph builder.
type DirectedWeightedBuilder interface {
Directed
WeightedBuilder
}
// Copy copies nodes and edges as undirected edges from the source to the destination
// without first clearing the destination. Copy will panic if a node ID in the source
// graph matches a node ID in the destination.
//
// If the source is undirected and the destination is directed both directions will
// be present in the destination after the copy is complete.
func Copy(dst Builder, src Graph) {
nodes := src.Nodes()
for nodes.Next() {
dst.AddNode(nodes.Node())
}
nodes.Reset()
for nodes.Next() {
u := nodes.Node()
uid := u.ID()
to := src.From(uid)
for to.Next() {
v := to.Node()
dst.SetEdge(src.Edge(uid, v.ID()))
}
}
}
// CopyWeighted copies nodes and edges as undirected edges from the source to the destination
// without first clearing the destination. Copy will panic if a node ID in the source
// graph matches a node ID in the destination.
//
// If the source is undirected and the destination is directed both directions will
// be present in the destination after the copy is complete.
//
// If the source is a directed graph, the destination is undirected, and a fundamental
// cycle exists with two nodes where the edge weights differ, the resulting destination
// graph's edge weight between those nodes is undefined. If there is a defined function
// to resolve such conflicts, an UndirectWeighted may be used to do this.
func CopyWeighted(dst WeightedBuilder, src Weighted) {
nodes := src.Nodes()
for nodes.Next() {
dst.AddNode(nodes.Node())
}
nodes.Reset()
for nodes.Next() {
u := nodes.Node()
uid := u.ID()
to := src.From(uid)
for to.Next() {
v := to.Node()
dst.SetWeightedEdge(src.WeightedEdge(uid, v.ID()))
}
}
}

6
vendor/gonum.org/v1/gonum/graph/internal/linear/doc.go generated vendored
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// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package linear provides common linear data structures.
package linear // import "gonum.org/v1/gonum/graph/internal/linear"

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vendor/gonum.org/v1/gonum/graph/internal/linear/linear.go generated vendored
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// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package linear
import (
"gonum.org/v1/gonum/graph"
)
// NodeStack implements a LIFO stack of graph.Node.
type NodeStack []graph.Node
// Len returns the number of graph.Nodes on the stack.
func (s *NodeStack) Len() int { return len(*s) }
// Pop returns the last graph.Node on the stack and removes it
// from the stack.
func (s *NodeStack) Pop() graph.Node {
v := *s
v, n := v[:len(v)-1], v[len(v)-1]
*s = v
return n
}
// Push adds the node n to the stack at the last position.
func (s *NodeStack) Push(n graph.Node) { *s = append(*s, n) }
// NodeQueue implements a FIFO queue.
type NodeQueue struct {
head int
data []graph.Node
}
// Len returns the number of graph.Nodes in the queue.
func (q *NodeQueue) Len() int { return len(q.data) - q.head }
// Enqueue adds the node n to the back of the queue.
func (q *NodeQueue) Enqueue(n graph.Node) {
if len(q.data) == cap(q.data) && q.head > 0 {
l := q.Len()
copy(q.data, q.data[q.head:])
q.head = 0
q.data = append(q.data[:l], n)
} else {
q.data = append(q.data, n)
}
}
// Dequeue returns the graph.Node at the front of the queue and
// removes it from the queue.
func (q *NodeQueue) Dequeue() graph.Node {
if q.Len() == 0 {
panic("queue: empty queue")
}
var n graph.Node
n, q.data[q.head] = q.data[q.head], nil
q.head++
if q.Len() == 0 {
q.head = 0
q.data = q.data[:0]
}
return n
}
// Reset clears the queue for reuse.
func (q *NodeQueue) Reset() {
q.head = 0
q.data = q.data[:0]
}

6
vendor/gonum.org/v1/gonum/graph/internal/ordered/doc.go generated vendored
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@@ -1,6 +0,0 @@
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package ordered provides common sort ordering types.
package ordered // import "gonum.org/v1/gonum/graph/internal/ordered"

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vendor/gonum.org/v1/gonum/graph/internal/ordered/sort.go generated vendored
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// Copyright ©2015 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package ordered
import "gonum.org/v1/gonum/graph"
// ByID implements the sort.Interface sorting a slice of graph.Node
// by ID.
type ByID []graph.Node
func (n ByID) Len() int { return len(n) }
func (n ByID) Less(i, j int) bool { return n[i].ID() < n[j].ID() }
func (n ByID) Swap(i, j int) { n[i], n[j] = n[j], n[i] }
// BySliceValues implements the sort.Interface sorting a slice of
// []int64 lexically by the values of the []int64.
type BySliceValues [][]int64
func (c BySliceValues) Len() int { return len(c) }
func (c BySliceValues) Less(i, j int) bool {
a, b := c[i], c[j]
l := len(a)
if len(b) < l {
l = len(b)
}
for k, v := range a[:l] {
if v < b[k] {
return true
}
if v > b[k] {
return false
}
}
return len(a) < len(b)
}
func (c BySliceValues) Swap(i, j int) { c[i], c[j] = c[j], c[i] }
// BySliceIDs implements the sort.Interface sorting a slice of
// []graph.Node lexically by the IDs of the []graph.Node.
type BySliceIDs [][]graph.Node
func (c BySliceIDs) Len() int { return len(c) }
func (c BySliceIDs) Less(i, j int) bool {
a, b := c[i], c[j]
l := len(a)
if len(b) < l {
l = len(b)
}
for k, v := range a[:l] {
if v.ID() < b[k].ID() {
return true
}
if v.ID() > b[k].ID() {
return false
}
}
return len(a) < len(b)
}
func (c BySliceIDs) Swap(i, j int) { c[i], c[j] = c[j], c[i] }
// Int64s implements the sort.Interface sorting a slice of
// int64.
type Int64s []int64
func (s Int64s) Len() int { return len(s) }
func (s Int64s) Less(i, j int) bool { return s[i] < s[j] }
func (s Int64s) Swap(i, j int) { s[i], s[j] = s[j], s[i] }
// Reverse reverses the order of nodes.
func Reverse(nodes []graph.Node) {
for i, j := 0, len(nodes)-1; i < j; i, j = i+1, j-1 {
nodes[i], nodes[j] = nodes[j], nodes[i]
}
}
// LinesByIDs implements the sort.Interface sorting a slice of graph.LinesByIDs
// lexically by the From IDs, then by the To IDs, finally by the Line IDs.
type LinesByIDs []graph.Line
func (n LinesByIDs) Len() int { return len(n) }
func (n LinesByIDs) Less(i, j int) bool {
a, b := n[i], n[j]
if a.From().ID() != b.From().ID() {
return a.From().ID() < b.From().ID()
}
if a.To().ID() != b.To().ID() {
return a.To().ID() < b.To().ID()
}
return n[i].ID() < n[j].ID()
}
func (n LinesByIDs) Swap(i, j int) { n[i], n[j] = n[j], n[i] }

6
vendor/gonum.org/v1/gonum/graph/internal/set/doc.go generated vendored
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@@ -1,6 +0,0 @@
// Copyright ©2017 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package set provides integer and graph.Node sets.
package set // import "gonum.org/v1/gonum/graph/internal/set"

36
vendor/gonum.org/v1/gonum/graph/internal/set/same.go generated vendored
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@@ -1,36 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// +build !appengine,!safe
package set
import "unsafe"
// same determines whether two sets are backed by the same store. In the
// current implementation using hash maps it makes use of the fact that
// hash maps are passed as a pointer to a runtime Hmap struct. A map is
// not seen by the runtime as a pointer though, so we use unsafe to get
// the maps' pointer values to compare.
func same(a, b Nodes) bool {
return *(*uintptr)(unsafe.Pointer(&a)) == *(*uintptr)(unsafe.Pointer(&b))
}
// intsSame determines whether two sets are backed by the same store. In the
// current implementation using hash maps it makes use of the fact that
// hash maps are passed as a pointer to a runtime Hmap struct. A map is
// not seen by the runtime as a pointer though, so we use unsafe to get
// the maps' pointer values to compare.
func intsSame(a, b Ints) bool {
return *(*uintptr)(unsafe.Pointer(&a)) == *(*uintptr)(unsafe.Pointer(&b))
}
// int64sSame determines whether two sets are backed by the same store. In the
// current implementation using hash maps it makes use of the fact that
// hash maps are passed as a pointer to a runtime Hmap struct. A map is
// not seen by the runtime as a pointer though, so we use unsafe to get
// the maps' pointer values to compare.
func int64sSame(a, b Int64s) bool {
return *(*uintptr)(unsafe.Pointer(&a)) == *(*uintptr)(unsafe.Pointer(&b))
}

36
vendor/gonum.org/v1/gonum/graph/internal/set/same_appengine.go generated vendored
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@@ -1,36 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// +build appengine safe
package set
import "reflect"
// same determines whether two sets are backed by the same store. In the
// current implementation using hash maps it makes use of the fact that
// hash maps are passed as a pointer to a runtime Hmap struct. A map is
// not seen by the runtime as a pointer though, so we use reflect to get
// the maps' pointer values to compare.
func same(a, b Nodes) bool {
return reflect.ValueOf(a).Pointer() == reflect.ValueOf(b).Pointer()
}
// intsSame determines whether two sets are backed by the same store. In the
// current implementation using hash maps it makes use of the fact that
// hash maps are passed as a pointer to a runtime Hmap struct. A map is
// not seen by the runtime as a pointer though, so we use reflect to get
// the maps' pointer values to compare.
func intsSame(a, b Ints) bool {
return reflect.ValueOf(a).Pointer() == reflect.ValueOf(b).Pointer()
}
// int64sSame determines whether two sets are backed by the same store. In the
// current implementation using hash maps it makes use of the fact that
// hash maps are passed as a pointer to a runtime Hmap struct. A map is
// not seen by the runtime as a pointer though, so we use reflect to get
// the maps' pointer values to compare.
func int64sSame(a, b Int64s) bool {
return reflect.ValueOf(a).Pointer() == reflect.ValueOf(b).Pointer()
}

228
vendor/gonum.org/v1/gonum/graph/internal/set/set.go generated vendored
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@@ -1,228 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package set
import "gonum.org/v1/gonum/graph"
// Ints is a set of int identifiers.
type Ints map[int]struct{}
// The simple accessor methods for Ints are provided to allow ease of
// implementation change should the need arise.
// Add inserts an element into the set.
func (s Ints) Add(e int) {
s[e] = struct{}{}
}
// Has reports the existence of the element in the set.
func (s Ints) Has(e int) bool {
_, ok := s[e]
return ok
}
// Remove deletes the specified element from the set.
func (s Ints) Remove(e int) {
delete(s, e)
}
// Count reports the number of elements stored in the set.
func (s Ints) Count() int {
return len(s)
}
// IntsEqual reports set equality between the parameters. Sets are equal if
// and only if they have the same elements.
func IntsEqual(a, b Ints) bool {
if intsSame(a, b) {
return true
}
if len(a) != len(b) {
return false
}
for e := range a {
if _, ok := b[e]; !ok {
return false
}
}
return true
}
// Int64s is a set of int64 identifiers.
type Int64s map[int64]struct{}
// The simple accessor methods for Ints are provided to allow ease of
// implementation change should the need arise.
// Add inserts an element into the set.
func (s Int64s) Add(e int64) {
s[e] = struct{}{}
}
// Has reports the existence of the element in the set.
func (s Int64s) Has(e int64) bool {
_, ok := s[e]
return ok
}
// Remove deletes the specified element from the set.
func (s Int64s) Remove(e int64) {
delete(s, e)
}
// Count reports the number of elements stored in the set.
func (s Int64s) Count() int {
return len(s)
}
// Int64sEqual reports set equality between the parameters. Sets are equal if
// and only if they have the same elements.
func Int64sEqual(a, b Int64s) bool {
if int64sSame(a, b) {
return true
}
if len(a) != len(b) {
return false
}
for e := range a {
if _, ok := b[e]; !ok {
return false
}
}
return true
}
// Nodes is a set of nodes keyed in their integer identifiers.
type Nodes map[int64]graph.Node
// NewNodes returns a new Nodes.
func NewNodes() Nodes {
return make(Nodes)
}
// NewNodes returns a new Nodes with the given size hint, n.
func NewNodesSize(n int) Nodes {
return make(Nodes, n)
}
// The simple accessor methods for Nodes are provided to allow ease of
// implementation change should the need arise.
// Add inserts an element into the set.
func (s Nodes) Add(n graph.Node) {
s[n.ID()] = n
}
// Remove deletes the specified element from the set.
func (s Nodes) Remove(e graph.Node) {
delete(s, e.ID())
}
// Count returns the number of element in the set.
func (s Nodes) Count() int {
return len(s)
}
// Has reports the existence of the elements in the set.
func (s Nodes) Has(n graph.Node) bool {
_, ok := s[n.ID()]
return ok
}
// CloneNodes returns a clone of src.
func CloneNodes(src Nodes) Nodes {
dst := make(Nodes, len(src))
for e, n := range src {
dst[e] = n
}
return dst
}
// Equal reports set equality between the parameters. Sets are equal if
// and only if they have the same elements.
func Equal(a, b Nodes) bool {
if same(a, b) {
return true
}
if len(a) != len(b) {
return false
}
for e := range a {
if _, ok := b[e]; !ok {
return false
}
}
return true
}
// UnionOfNodes returns the union of a and b.
//
// The union of two sets, a and b, is the set containing all the
// elements of each, for instance:
//
// {a,b,c} UNION {d,e,f} = {a,b,c,d,e,f}
//
// Since sets may not have repetition, unions of two sets that overlap
// do not contain repeat elements, that is:
//
// {a,b,c} UNION {b,c,d} = {a,b,c,d}
//
func UnionOfNodes(a, b Nodes) Nodes {
if same(a, b) {
return CloneNodes(a)
}
dst := make(Nodes)
for e, n := range a {
dst[e] = n
}
for e, n := range b {
dst[e] = n
}
return dst
}
// IntersectionOfNodes returns the intersection of a and b.
//
// The intersection of two sets, a and b, is the set containing all
// the elements shared between the two sets, for instance:
//
// {a,b,c} INTERSECT {b,c,d} = {b,c}
//
// The intersection between a set and itself is itself, and thus
// effectively a copy operation:
//
// {a,b,c} INTERSECT {a,b,c} = {a,b,c}
//
// The intersection between two sets that share no elements is the empty
// set:
//
// {a,b,c} INTERSECT {d,e,f} = {}
//
func IntersectionOfNodes(a, b Nodes) Nodes {
if same(a, b) {
return CloneNodes(a)
}
dst := make(Nodes)
if len(a) > len(b) {
a, b = b, a
}
for e, n := range a {
if _, ok := b[e]; ok {
dst[e] = n
}
}
return dst
}

54
vendor/gonum.org/v1/gonum/graph/internal/uid/uid.go generated vendored
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@@ -1,54 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package uid implements unique ID provision for graphs.
package uid
import "gonum.org/v1/gonum/graph/internal/set"
// Max is the maximum value of int64.
const Max = int64(^uint64(0) >> 1)
// Set implements available ID storage.
type Set struct {
maxID int64
used, free set.Int64s
}
// NewSet returns a new Set. The returned value should not be passed except by pointer.
func NewSet() Set {
return Set{maxID: -1, used: make(set.Int64s), free: make(set.Int64s)}
}
// NewID returns a new unique ID. The ID returned is not considered used
// until passed in a call to use.
func (s *Set) NewID() int64 {
for id := range s.free {
return id
}
if s.maxID != Max {
return s.maxID + 1
}
for id := int64(0); id <= s.maxID+1; id++ {
if !s.used.Has(id) {
return id
}
}
panic("unreachable")
}
// Use adds the id to the used IDs in the Set.
func (s *Set) Use(id int64) {
s.used.Add(id)
s.free.Remove(id)
if id > s.maxID {
s.maxID = id
}
}
// Release frees the id for reuse.
func (s *Set) Release(id int64) {
s.free.Add(id)
s.used.Remove(id)
}

9
vendor/gonum.org/v1/gonum/graph/iterator/doc.go generated vendored
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@@ -1,9 +0,0 @@
// Copyright ©2018 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package iterator provides node, edge and line iterators.
//
// The iterators provided satisfy the graph.Nodes, graph.Edges and
// graph.Lines interfaces.
package iterator

131
vendor/gonum.org/v1/gonum/graph/iterator/edges.go generated vendored
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@@ -1,131 +0,0 @@
// Copyright ©2018 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package iterator
import "gonum.org/v1/gonum/graph"
// OrderedEdges implements the graph.Edges and graph.EdgeSlicer interfaces.
// The iteration order of OrderedEdges is the order of edges passed to
// NewEdgeIterator.
type OrderedEdges struct {
idx int
edges []graph.Edge
}
// NewOrderedEdges returns an OrderedEdges initialized with the provided edges.
func NewOrderedEdges(edges []graph.Edge) *OrderedEdges {
return &OrderedEdges{idx: -1, edges: edges}
}
// Len returns the remaining number of edges to be iterated over.
func (e *OrderedEdges) Len() int {
if e.idx >= len(e.edges) {
return 0
}
if e.idx <= 0 {
return len(e.edges)
}
return len(e.edges[e.idx:])
}
// Next returns whether the next call of Edge will return a valid edge.
func (e *OrderedEdges) Next() bool {
if uint(e.idx)+1 < uint(len(e.edges)) {
e.idx++
return true
}
e.idx = len(e.edges)
return false
}
// Edge returns the current edge of the iterator. Next must have been
// called prior to a call to Edge.
func (e *OrderedEdges) Edge() graph.Edge {
if e.idx >= len(e.edges) || e.idx < 0 {
return nil
}
return e.edges[e.idx]
}
// EdgeSlice returns all the remaining edges in the iterator and advances
// the iterator.
func (e *OrderedEdges) EdgeSlice() []graph.Edge {
if e.idx >= len(e.edges) {
return nil
}
idx := e.idx
if idx == -1 {
idx = 0
}
e.idx = len(e.edges)
return e.edges[idx:]
}
// Reset returns the iterator to its initial state.
func (e *OrderedEdges) Reset() {
e.idx = -1
}
// OrderedWeightedEdges implements the graph.Edges and graph.EdgeSlicer interfaces.
// The iteration order of OrderedWeightedEdges is the order of edges passed to
// NewEdgeIterator.
type OrderedWeightedEdges struct {
idx int
edges []graph.WeightedEdge
}
// NewOrderedWeightedEdges returns an OrderedWeightedEdges initialized with the provided edges.
func NewOrderedWeightedEdges(edges []graph.WeightedEdge) *OrderedWeightedEdges {
return &OrderedWeightedEdges{idx: -1, edges: edges}
}
// Len returns the remaining number of edges to be iterated over.
func (e *OrderedWeightedEdges) Len() int {
if e.idx >= len(e.edges) {
return 0
}
if e.idx <= 0 {
return len(e.edges)
}
return len(e.edges[e.idx:])
}
// Next returns whether the next call of WeightedEdge will return a valid edge.
func (e *OrderedWeightedEdges) Next() bool {
if uint(e.idx)+1 < uint(len(e.edges)) {
e.idx++
return true
}
e.idx = len(e.edges)
return false
}
// WeightedEdge returns the current edge of the iterator. Next must have been
// called prior to a call to WeightedEdge.
func (e *OrderedWeightedEdges) WeightedEdge() graph.WeightedEdge {
if e.idx >= len(e.edges) || e.idx < 0 {
return nil
}
return e.edges[e.idx]
}
// WeightedEdgeSlice returns all the remaining edges in the iterator and advances
// the iterator.
func (e *OrderedWeightedEdges) WeightedEdgeSlice() []graph.WeightedEdge {
if e.idx >= len(e.edges) {
return nil
}
idx := e.idx
if idx == -1 {
idx = 0
}
e.idx = len(e.edges)
return e.edges[idx:]
}
// Reset returns the iterator to its initial state.
func (e *OrderedWeightedEdges) Reset() {
e.idx = -1
}

131
vendor/gonum.org/v1/gonum/graph/iterator/lines.go generated vendored
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@@ -1,131 +0,0 @@
// Copyright ©2018 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package iterator
import "gonum.org/v1/gonum/graph"
// OrderedLines implements the graph.Lines and graph.LineSlicer interfaces.
// The iteration order of OrderedLines is the order of lines passed to
// NewLineIterator.
type OrderedLines struct {
idx int
lines []graph.Line
}
// NewOrderedLines returns an OrderedLines initialized with the provided lines.
func NewOrderedLines(lines []graph.Line) *OrderedLines {
return &OrderedLines{idx: -1, lines: lines}
}
// Len returns the remaining number of lines to be iterated over.
func (e *OrderedLines) Len() int {
if e.idx >= len(e.lines) {
return 0
}
if e.idx <= 0 {
return len(e.lines)
}
return len(e.lines[e.idx:])
}
// Next returns whether the next call of Line will return a valid line.
func (e *OrderedLines) Next() bool {
if uint(e.idx)+1 < uint(len(e.lines)) {
e.idx++
return true
}
e.idx = len(e.lines)
return false
}
// Line returns the current line of the iterator. Next must have been
// called prior to a call to Line.
func (e *OrderedLines) Line() graph.Line {
if e.idx >= len(e.lines) || e.idx < 0 {
return nil
}
return e.lines[e.idx]
}
// LineSlice returns all the remaining lines in the iterator and advances
// the iterator.
func (e *OrderedLines) LineSlice() []graph.Line {
if e.idx >= len(e.lines) {
return nil
}
idx := e.idx
if idx == -1 {
idx = 0
}
e.idx = len(e.lines)
return e.lines[idx:]
}
// Reset returns the iterator to its initial state.
func (e *OrderedLines) Reset() {
e.idx = -1
}
// OrderedWeightedLines implements the graph.Lines and graph.LineSlicer interfaces.
// The iteration order of OrderedWeightedLines is the order of lines passed to
// NewLineIterator.
type OrderedWeightedLines struct {
idx int
lines []graph.WeightedLine
}
// NewWeightedLineIterator returns an OrderedWeightedLines initialized with the provided lines.
func NewOrderedWeightedLines(lines []graph.WeightedLine) *OrderedWeightedLines {
return &OrderedWeightedLines{idx: -1, lines: lines}
}
// Len returns the remaining number of lines to be iterated over.
func (e *OrderedWeightedLines) Len() int {
if e.idx >= len(e.lines) {
return 0
}
if e.idx <= 0 {
return len(e.lines)
}
return len(e.lines[e.idx:])
}
// Next returns whether the next call of WeightedLine will return a valid line.
func (e *OrderedWeightedLines) Next() bool {
if uint(e.idx)+1 < uint(len(e.lines)) {
e.idx++
return true
}
e.idx = len(e.lines)
return false
}
// WeightedLine returns the current line of the iterator. Next must have been
// called prior to a call to WeightedLine.
func (e *OrderedWeightedLines) WeightedLine() graph.WeightedLine {
if e.idx >= len(e.lines) || e.idx < 0 {
return nil
}
return e.lines[e.idx]
}
// WeightedLineSlice returns all the remaining lines in the iterator and advances
// the iterator.
func (e *OrderedWeightedLines) WeightedLineSlice() []graph.WeightedLine {
if e.idx >= len(e.lines) {
return nil
}
idx := e.idx
if idx == -1 {
idx = 0
}
e.idx = len(e.lines)
return e.lines[idx:]
}
// Reset returns the iterator to its initial state.
func (e *OrderedWeightedLines) Reset() {
e.idx = -1
}

125
vendor/gonum.org/v1/gonum/graph/iterator/nodes.go generated vendored
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@@ -1,125 +0,0 @@
// Copyright ©2018 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package iterator
import "gonum.org/v1/gonum/graph"
// OrderedNodes implements the graph.Nodes and graph.NodeSlicer interfaces.
// The iteration order of OrderedNodes is the order of nodes passed to
// NewNodeIterator.
type OrderedNodes struct {
idx int
nodes []graph.Node
}
// NewOrderedNodes returns a OrderedNodes initialized with the provided nodes.
func NewOrderedNodes(nodes []graph.Node) *OrderedNodes {
return &OrderedNodes{idx: -1, nodes: nodes}
}
// Len returns the remaining number of nodes to be iterated over.
func (n *OrderedNodes) Len() int {
if n.idx >= len(n.nodes) {
return 0
}
if n.idx <= 0 {
return len(n.nodes)
}
return len(n.nodes[n.idx:])
}
// Next returns whether the next call of Node will return a valid node.
func (n *OrderedNodes) Next() bool {
if uint(n.idx)+1 < uint(len(n.nodes)) {
n.idx++
return true
}
n.idx = len(n.nodes)
return false
}
// Node returns the current node of the iterator. Next must have been
// called prior to a call to Node.
func (n *OrderedNodes) Node() graph.Node {
if n.idx >= len(n.nodes) || n.idx < 0 {
return nil
}
return n.nodes[n.idx]
}
// NodeSlice returns all the remaining nodes in the iterator and advances
// the iterator.
func (n *OrderedNodes) NodeSlice() []graph.Node {
if n.idx >= len(n.nodes) {
return nil
}
idx := n.idx
if idx == -1 {
idx = 0
}
n.idx = len(n.nodes)
return n.nodes[idx:]
}
// Reset returns the iterator to its initial state.
func (n *OrderedNodes) Reset() {
n.idx = -1
}
// ImplicitNodes implements the graph.Nodes interface for a set of nodes over
// a contiguous ID range.
type ImplicitNodes struct {
beg, end int
curr int
newNode func(id int) graph.Node
}
// NewImplicitNodes returns a new implicit node iterator spanning nodes in [beg,end).
// The provided new func maps the id to a graph.Node. NewImplicitNodes will panic
// if beg is greater than end.
func NewImplicitNodes(beg, end int, new func(id int) graph.Node) *ImplicitNodes {
if beg > end {
panic("iterator: invalid range")
}
return &ImplicitNodes{beg: beg, end: end, curr: beg - 1, newNode: new}
}
// Len returns the remaining number of nodes to be iterated over.
func (n *ImplicitNodes) Len() int {
return n.end - n.curr - 1
}
// Next returns whether the next call of Node will return a valid node.
func (n *ImplicitNodes) Next() bool {
if n.curr == n.end {
return false
}
n.curr++
return n.curr < n.end
}
// Node returns the current node of the iterator. Next must have been
// called prior to a call to Node.
func (n *ImplicitNodes) Node() graph.Node {
if n.Len() == -1 || n.curr < n.beg {
return nil
}
return n.newNode(n.curr)
}
// Reset returns the iterator to its initial state.
func (n *ImplicitNodes) Reset() {
n.curr = n.beg - 1
}
// NodeSlice returns all the remaining nodes in the iterator and advances
// the iterator.
func (n *ImplicitNodes) NodeSlice() []graph.Node {
nodes := make([]graph.Node, 0, n.Len())
for n.curr++; n.curr < n.end; n.curr++ {
nodes = append(nodes, n.newNode(n.curr))
}
return nodes
}

198
vendor/gonum.org/v1/gonum/graph/multigraph.go generated vendored
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@@ -1,198 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package graph
// Line is an edge in a multigraph. A Line returns an ID that must
// distinguish Lines sharing Node end points.
type Line interface {
// From returns the from node of the edge.
From() Node
// To returns the to node of the edge.
To() Node
// ReversedLine returns a line that has the
// end points of the receiver swapped.
ReversedLine() Line
// ID returns the unique ID for the Line.
ID() int64
}
// WeightedLine is a weighted multigraph edge.
type WeightedLine interface {
Line
Weight() float64
}
// Multigraph is a generalized multigraph.
type Multigraph interface {
// Node returns the node with the given ID if it exists
// in the multigraph, and nil otherwise.
Node(id int64) Node
// Nodes returns all the nodes in the multigraph.
//
// Nodes must not return nil.
Nodes() Nodes
// From returns all nodes that can be reached directly
// from the node with the given ID.
//
// From must not return nil.
From(id int64) Nodes
// HasEdgeBetween returns whether an edge exists between
// nodes with IDs xid and yid without considering direction.
HasEdgeBetween(xid, yid int64) bool
// Lines returns the lines from u to v, with IDs uid and
// vid, if any such lines exist and nil otherwise. The
// node v must be directly reachable from u as defined by
// the From method.
//
// Lines must not return nil.
Lines(uid, vid int64) Lines
}
// WeightedMultigraph is a weighted multigraph.
type WeightedMultigraph interface {
Multigraph
// WeightedLines returns the weighted lines from u to v
// with IDs uid and vid if any such lines exist and nil
// otherwise. The node v must be directly reachable
// from u as defined by the From method.
//
// WeightedLines must not return nil.
WeightedLines(uid, vid int64) WeightedLines
}
// UndirectedMultigraph is an undirected multigraph.
type UndirectedMultigraph interface {
Multigraph
// LinesBetween returns the lines between nodes x and y
// with IDs xid and yid.
//
// LinesBetween must not return nil.
LinesBetween(xid, yid int64) Lines
}
// WeightedUndirectedMultigraph is a weighted undirected multigraph.
type WeightedUndirectedMultigraph interface {
WeightedMultigraph
// WeightedLinesBetween returns the lines between nodes
// x and y with IDs xid and yid.
//
// WeightedLinesBetween must not return nil.
WeightedLinesBetween(xid, yid int64) WeightedLines
}
// DirectedMultigraph is a directed multigraph.
type DirectedMultigraph interface {
Multigraph
// HasEdgeFromTo returns whether an edge exists
// in the multigraph from u to v with IDs uid
// and vid.
HasEdgeFromTo(uid, vid int64) bool
// To returns all nodes that can reach directly
// to the node with the given ID.
//
// To must not return nil.
To(id int64) Nodes
}
// WeightedDirectedMultigraph is a weighted directed multigraph.
type WeightedDirectedMultigraph interface {
WeightedMultigraph
// HasEdgeFromTo returns whether an edge exists
// in the multigraph from u to v with IDs uid
// and vid.
HasEdgeFromTo(uid, vid int64) bool
// To returns all nodes that can reach directly
// to the node with the given ID.
//
// To must not return nil.
To(id int64) Nodes
}
// LineAdder is an interface for adding lines to a multigraph.
type LineAdder interface {
// NewLine returns a new Line from the source to the destination node.
NewLine(from, to Node) Line
// SetLine adds a Line from one node to another.
// If the multigraph supports node addition the nodes
// will be added if they do not exist, otherwise
// SetLine will panic.
// Whether l, l.From() and l.To() are stored
// within the graph is implementation dependent.
SetLine(l Line)
}
// WeightedLineAdder is an interface for adding lines to a multigraph.
type WeightedLineAdder interface {
// NewWeightedLine returns a new WeightedLine from
// the source to the destination node.
NewWeightedLine(from, to Node, weight float64) WeightedLine
// SetWeightedLine adds a weighted line from one node
// to another. If the multigraph supports node addition
// the nodes will be added if they do not exist,
// otherwise SetWeightedLine will panic.
// Whether l, l.From() and l.To() are stored
// within the graph is implementation dependent.
SetWeightedLine(l WeightedLine)
}
// LineRemover is an interface for removing lines from a multigraph.
type LineRemover interface {
// RemoveLine removes the line with the given end
// and line IDs, leaving the terminal nodes. If
// the line does not exist it is a no-op.
RemoveLine(fid, tid, id int64)
}
// MultigraphBuilder is a multigraph that can have nodes and lines added.
type MultigraphBuilder interface {
NodeAdder
LineAdder
}
// WeightedMultigraphBuilder is a multigraph that can have nodes and weighted lines added.
type WeightedMultigraphBuilder interface {
NodeAdder
WeightedLineAdder
}
// UndirectedMultgraphBuilder is an undirected multigraph builder.
type UndirectedMultigraphBuilder interface {
UndirectedMultigraph
MultigraphBuilder
}
// UndirectedWeightedMultigraphBuilder is an undirected weighted multigraph builder.
type UndirectedWeightedMultigraphBuilder interface {
UndirectedMultigraph
WeightedMultigraphBuilder
}
// DirectedMultigraphBuilder is a directed multigraph builder.
type DirectedMultigraphBuilder interface {
DirectedMultigraph
MultigraphBuilder
}
// DirectedWeightedMultigraphBuilder is a directed weighted multigraph builder.
type DirectedWeightedMultigraphBuilder interface {
DirectedMultigraph
WeightedMultigraphBuilder
}

300
vendor/gonum.org/v1/gonum/graph/nodes_edges.go generated vendored
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// Copyright ©2018 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package graph
// Iterator is an item iterator.
type Iterator interface {
// Next advances the iterator and returns whether
// the next call to the item method will return a
// non-nil item.
//
// Next should be called prior to any call to the
// iterator's item retrieval method after the
// iterator has been obtained or reset.
//
// The order of iteration is implementation
// dependent.
Next() bool
// Len returns the number of items remaining in the
// iterator.
//
// If the number of items in the iterator is unknown,
// too large to materialize or too costly to calculate
// then Len may return a negative value.
// In this case the consuming function must be able
// to operate on the items of the iterator directly
// without materializing the items into a slice.
// The magnitude of a negative length has
// implementation-dependent semantics.
Len() int
// Reset returns the iterator to its start position.
Reset()
}
// Nodes is a Node iterator.
type Nodes interface {
Iterator
// Node returns the current Node from the iterator.
Node() Node
}
// NodeSlicer wraps the NodeSlice method.
type NodeSlicer interface {
// NodeSlice returns the set of nodes remaining
// to be iterated by a Nodes iterator.
// The holder of the iterator may arbitrarily
// change elements in the returned slice, but
// those changes may be reflected to other
// iterators.
NodeSlice() []Node
}
// NodesOf returns it.Len() nodes from it. If it is a NodeSlicer, the NodeSlice method
// is used to obtain the nodes. It is safe to pass a nil Nodes to NodesOf.
//
// If the Nodes has an indeterminate length, NodesOf will panic.
func NodesOf(it Nodes) []Node {
if it == nil {
return nil
}
len := it.Len()
switch {
case len == 0:
return nil
case len < 0:
panic("graph: called NodesOf on indeterminate iterator")
}
switch it := it.(type) {
case NodeSlicer:
return it.NodeSlice()
}
n := make([]Node, 0, len)
for it.Next() {
n = append(n, it.Node())
}
return n
}
// Edges is an Edge iterator.
type Edges interface {
Iterator
// Edge returns the current Edge from the iterator.
Edge() Edge
}
// EdgeSlicer wraps the EdgeSlice method.
type EdgeSlicer interface {
// EdgeSlice returns the set of edges remaining
// to be iterated by an Edges iterator.
// The holder of the iterator may arbitrarily
// change elements in the returned slice, but
// those changes may be reflected to other
// iterators.
EdgeSlice() []Edge
}
// EdgesOf returns it.Len() nodes from it. If it is an EdgeSlicer, the EdgeSlice method is used
// to obtain the edges. It is safe to pass a nil Edges to EdgesOf.
//
// If the Edges has an indeterminate length, EdgesOf will panic.
func EdgesOf(it Edges) []Edge {
if it == nil {
return nil
}
len := it.Len()
switch {
case len == 0:
return nil
case len < 0:
panic("graph: called EdgesOf on indeterminate iterator")
}
switch it := it.(type) {
case EdgeSlicer:
return it.EdgeSlice()
}
e := make([]Edge, 0, len)
for it.Next() {
e = append(e, it.Edge())
}
return e
}
// WeightedEdges is a WeightedEdge iterator.
type WeightedEdges interface {
Iterator
// Edge returns the current Edge from the iterator.
WeightedEdge() WeightedEdge
}
// WeightedEdgeSlicer wraps the WeightedEdgeSlice method.
type WeightedEdgeSlicer interface {
// EdgeSlice returns the set of edges remaining
// to be iterated by an Edges iterator.
// The holder of the iterator may arbitrarily
// change elements in the returned slice, but
// those changes may be reflected to other
// iterators.
WeightedEdgeSlice() []WeightedEdge
}
// WeightedEdgesOf returns it.Len() weighted edge from it. If it is a WeightedEdgeSlicer, the
// WeightedEdgeSlice method is used to obtain the edges. It is safe to pass a nil WeightedEdges
// to WeightedEdgesOf.
//
// If the WeightedEdges has an indeterminate length, WeightedEdgesOf will panic.
func WeightedEdgesOf(it WeightedEdges) []WeightedEdge {
if it == nil {
return nil
}
len := it.Len()
switch {
case len == 0:
return nil
case len < 0:
panic("graph: called WeightedEdgesOf on indeterminate iterator")
}
switch it := it.(type) {
case WeightedEdgeSlicer:
return it.WeightedEdgeSlice()
}
e := make([]WeightedEdge, 0, len)
for it.Next() {
e = append(e, it.WeightedEdge())
}
return e
}
// Lines is a Line iterator.
type Lines interface {
Iterator
// Line returns the current Line from the iterator.
Line() Line
}
// LineSlicer wraps the LineSlice method.
type LineSlicer interface {
// LineSlice returns the set of lines remaining
// to be iterated by an Lines iterator.
// The holder of the iterator may arbitrarily
// change elements in the returned slice, but
// those changes may be reflected to other
// iterators.
LineSlice() []Line
}
// LinesOf returns it.Len() nodes from it. If it is a LineSlicer, the LineSlice method is used
// to obtain the lines. It is safe to pass a nil Lines to LinesOf.
//
// If the Lines has an indeterminate length, LinesOf will panic.
func LinesOf(it Lines) []Line {
if it == nil {
return nil
}
len := it.Len()
switch {
case len == 0:
return nil
case len < 0:
panic("graph: called LinesOf on indeterminate iterator")
}
switch it := it.(type) {
case LineSlicer:
return it.LineSlice()
}
l := make([]Line, 0, len)
for it.Next() {
l = append(l, it.Line())
}
return l
}
// WeightedLines is a WeightedLine iterator.
type WeightedLines interface {
Iterator
// Line returns the current Line from the iterator.
WeightedLine() WeightedLine
}
// WeightedLineSlicer wraps the WeightedLineSlice method.
type WeightedLineSlicer interface {
// LineSlice returns the set of lines remaining
// to be iterated by an Lines iterator.
// The holder of the iterator may arbitrarily
// change elements in the returned slice, but
// those changes may be reflected to other
// iterators.
WeightedLineSlice() []WeightedLine
}
// WeightedLinesOf returns it.Len() weighted line from it. If it is a WeightedLineSlicer, the
// WeightedLineSlice method is used to obtain the lines. It is safe to pass a nil WeightedLines
// to WeightedLinesOf.
//
// If the WeightedLines has an indeterminate length, WeightedLinesOf will panic.
func WeightedLinesOf(it WeightedLines) []WeightedLine {
if it == nil {
return nil
}
len := it.Len()
switch {
case len == 0:
return nil
case len < 0:
panic("graph: called WeightedLinesOf on indeterminate iterator")
}
switch it := it.(type) {
case WeightedLineSlicer:
return it.WeightedLineSlice()
}
l := make([]WeightedLine, 0, len)
for it.Next() {
l = append(l, it.WeightedLine())
}
return l
}
// Empty is an empty set of nodes, edges or lines. It should be used when
// a graph returns a zero-length Iterator. Empty implements the slicer
// interfaces for nodes, edges and lines, returning nil for each of these.
const Empty = nothing
var (
_ Iterator = Empty
_ Nodes = Empty
_ NodeSlicer = Empty
_ Edges = Empty
_ EdgeSlicer = Empty
_ WeightedEdges = Empty
_ WeightedEdgeSlicer = Empty
_ Lines = Empty
_ LineSlicer = Empty
_ WeightedLines = Empty
_ WeightedLineSlicer = Empty
)
const nothing = empty(true)
type empty bool
func (empty) Next() bool { return false }
func (empty) Len() int { return 0 }
func (empty) Reset() {}
func (empty) Node() Node { return nil }
func (empty) NodeSlice() []Node { return nil }
func (empty) Edge() Edge { return nil }
func (empty) EdgeSlice() []Edge { return nil }
func (empty) WeightedEdge() WeightedEdge { return nil }
func (empty) WeightedEdgeSlice() []WeightedEdge { return nil }
func (empty) Line() Line { return nil }
func (empty) LineSlice() []Line { return nil }
func (empty) WeightedLine() WeightedLine { return nil }
func (empty) WeightedLineSlice() []WeightedLine { return nil }

301
vendor/gonum.org/v1/gonum/graph/simple/dense_directed_matrix.go generated vendored
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// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package simple
import (
"sort"
"gonum.org/v1/gonum/graph"
"gonum.org/v1/gonum/graph/internal/ordered"
"gonum.org/v1/gonum/graph/iterator"
"gonum.org/v1/gonum/mat"
)
var (
dm *DirectedMatrix
_ graph.Graph = dm
_ graph.Directed = dm
_ edgeSetter = dm
_ weightedEdgeSetter = dm
)
// DirectedMatrix represents a directed graph using an adjacency
// matrix such that all IDs are in a contiguous block from 0 to n-1.
// Edges are stored implicitly as an edge weight, so edges stored in
// the graph are not recoverable.
type DirectedMatrix struct {
mat *mat.Dense
nodes []graph.Node
self float64
absent float64
}
// NewDirectedMatrix creates a directed dense graph with n nodes.
// All edges are initialized with the weight given by init. The self parameter
// specifies the cost of self connection, and absent specifies the weight
// returned for absent edges.
func NewDirectedMatrix(n int, init, self, absent float64) *DirectedMatrix {
matrix := make([]float64, n*n)
if init != 0 {
for i := range matrix {
matrix[i] = init
}
}
for i := 0; i < len(matrix); i += n + 1 {
matrix[i] = self
}
return &DirectedMatrix{
mat: mat.NewDense(n, n, matrix),
self: self,
absent: absent,
}
}
// NewDirectedMatrixFrom creates a directed dense graph with the given nodes.
// The IDs of the nodes must be contiguous from 0 to len(nodes)-1, but may
// be in any order. If IDs are not contiguous NewDirectedMatrixFrom will panic.
// All edges are initialized with the weight given by init. The self parameter
// specifies the cost of self connection, and absent specifies the weight
// returned for absent edges.
func NewDirectedMatrixFrom(nodes []graph.Node, init, self, absent float64) *DirectedMatrix {
sort.Sort(ordered.ByID(nodes))
for i, n := range nodes {
if int64(i) != n.ID() {
panic("simple: non-contiguous node IDs")
}
}
g := NewDirectedMatrix(len(nodes), init, self, absent)
g.nodes = nodes
return g
}
// Edge returns the edge from u to v if such an edge exists and nil otherwise.
// The node v must be directly reachable from u as defined by the From method.
func (g *DirectedMatrix) Edge(uid, vid int64) graph.Edge {
return g.WeightedEdge(uid, vid)
}
// Edges returns all the edges in the graph.
func (g *DirectedMatrix) Edges() graph.Edges {
var edges []graph.Edge
r, _ := g.mat.Dims()
for i := 0; i < r; i++ {
for j := 0; j < r; j++ {
if i == j {
continue
}
if w := g.mat.At(i, j); !isSame(w, g.absent) {
edges = append(edges, WeightedEdge{F: g.Node(int64(i)), T: g.Node(int64(j)), W: w})
}
}
}
if len(edges) == 0 {
return graph.Empty
}
return iterator.NewOrderedEdges(edges)
}
// From returns all nodes in g that can be reached directly from n.
func (g *DirectedMatrix) From(id int64) graph.Nodes {
if !g.has(id) {
return graph.Empty
}
var nodes []graph.Node
_, c := g.mat.Dims()
for j := 0; j < c; j++ {
if int64(j) == id {
continue
}
// id is not greater than maximum int by this point.
if !isSame(g.mat.At(int(id), j), g.absent) {
nodes = append(nodes, g.Node(int64(j)))
}
}
if len(nodes) == 0 {
return graph.Empty
}
return iterator.NewOrderedNodes(nodes)
}
// HasEdgeBetween returns whether an edge exists between nodes x and y without
// considering direction.
func (g *DirectedMatrix) HasEdgeBetween(xid, yid int64) bool {
if !g.has(xid) {
return false
}
if !g.has(yid) {
return false
}
// xid and yid are not greater than maximum int by this point.
return xid != yid && (!isSame(g.mat.At(int(xid), int(yid)), g.absent) || !isSame(g.mat.At(int(yid), int(xid)), g.absent))
}
// HasEdgeFromTo returns whether an edge exists in the graph from u to v.
func (g *DirectedMatrix) HasEdgeFromTo(uid, vid int64) bool {
if !g.has(uid) {
return false
}
if !g.has(vid) {
return false
}
// uid and vid are not greater than maximum int by this point.
return uid != vid && !isSame(g.mat.At(int(uid), int(vid)), g.absent)
}
// Matrix returns the mat.Matrix representation of the graph. The orientation
// of the matrix is such that the matrix entry at G_{ij} is the weight of the edge
// from node i to node j.
func (g *DirectedMatrix) Matrix() mat.Matrix {
// Prevent alteration of dimensions of the returned matrix.
m := *g.mat
return &m
}
// Node returns the node with the given ID if it exists in the graph,
// and nil otherwise.
func (g *DirectedMatrix) Node(id int64) graph.Node {
if !g.has(id) {
return nil
}
if g.nodes == nil {
return Node(id)
}
return g.nodes[id]
}
// Nodes returns all the nodes in the graph.
func (g *DirectedMatrix) Nodes() graph.Nodes {
if g.nodes != nil {
nodes := make([]graph.Node, len(g.nodes))
copy(nodes, g.nodes)
return iterator.NewOrderedNodes(nodes)
}
r, _ := g.mat.Dims()
// Matrix graphs must have at least one node.
return iterator.NewImplicitNodes(0, r, newSimpleNode)
}
// RemoveEdge removes the edge with the given end point nodes from the graph, leaving the terminal
// nodes. If the edge does not exist it is a no-op.
func (g *DirectedMatrix) RemoveEdge(fid, tid int64) {
if !g.has(fid) {
return
}
if !g.has(tid) {
return
}
// fid and tid are not greater than maximum int by this point.
g.mat.Set(int(fid), int(tid), g.absent)
}
// SetEdge sets e, an edge from one node to another with unit weight. If the ends of the edge
// are not in g or the edge is a self loop, SetEdge panics. SetEdge will store the nodes of
// e in the graph if it was initialized with NewDirectedMatrixFrom.
func (g *DirectedMatrix) SetEdge(e graph.Edge) {
g.setWeightedEdge(e, 1)
}
// SetWeightedEdge sets e, an edge from one node to another. If the ends of the edge are not in g
// or the edge is a self loop, SetWeightedEdge panics. SetWeightedEdge will store the nodes of
// e in the graph if it was initialized with NewDirectedMatrixFrom.
func (g *DirectedMatrix) SetWeightedEdge(e graph.WeightedEdge) {
g.setWeightedEdge(e, e.Weight())
}
func (g *DirectedMatrix) setWeightedEdge(e graph.Edge, weight float64) {
from := e.From()
fid := from.ID()
to := e.To()
tid := to.ID()
if fid == tid {
panic("simple: set illegal edge")
}
if int64(int(fid)) != fid {
panic("simple: unavailable from node ID for dense graph")
}
if int64(int(tid)) != tid {
panic("simple: unavailable to node ID for dense graph")
}
if g.nodes != nil {
g.nodes[fid] = from
g.nodes[tid] = to
}
// fid and tid are not greater than maximum int by this point.
g.mat.Set(int(fid), int(tid), weight)
}
// To returns all nodes in g that can reach directly to n.
func (g *DirectedMatrix) To(id int64) graph.Nodes {
if !g.has(id) {
return graph.Empty
}
var nodes []graph.Node
r, _ := g.mat.Dims()
for i := 0; i < r; i++ {
if int64(i) == id {
continue
}
// id is not greater than maximum int by this point.
if !isSame(g.mat.At(i, int(id)), g.absent) {
nodes = append(nodes, g.Node(int64(i)))
}
}
if len(nodes) == 0 {
return graph.Empty
}
return iterator.NewOrderedNodes(nodes)
}
// Weight returns the weight for the edge between x and y if Edge(x, y) returns a non-nil Edge.
// If x and y are the same node or there is no joining edge between the two nodes the weight
// value returned is either the graph's absent or self value. Weight returns true if an edge
// exists between x and y or if x and y have the same ID, false otherwise.
func (g *DirectedMatrix) Weight(xid, yid int64) (w float64, ok bool) {
if xid == yid {
return g.self, true
}
if g.HasEdgeFromTo(xid, yid) {
// xid and yid are not greater than maximum int by this point.
return g.mat.At(int(xid), int(yid)), true
}
return g.absent, false
}
// WeightedEdge returns the weighted edge from u to v if such an edge exists and nil otherwise.
// The node v must be directly reachable from u as defined by the From method.
func (g *DirectedMatrix) WeightedEdge(uid, vid int64) graph.WeightedEdge {
if g.HasEdgeFromTo(uid, vid) {
// xid and yid are not greater than maximum int by this point.
return WeightedEdge{F: g.Node(uid), T: g.Node(vid), W: g.mat.At(int(uid), int(vid))}
}
return nil
}
// WeightedEdges returns all the edges in the graph.
func (g *DirectedMatrix) WeightedEdges() graph.WeightedEdges {
var edges []graph.WeightedEdge
r, _ := g.mat.Dims()
for i := 0; i < r; i++ {
for j := 0; j < r; j++ {
if i == j {
continue
}
if w := g.mat.At(i, j); !isSame(w, g.absent) {
edges = append(edges, WeightedEdge{F: g.Node(int64(i)), T: g.Node(int64(j)), W: w})
}
}
}
if len(edges) == 0 {
return graph.Empty
}
return iterator.NewOrderedWeightedEdges(edges)
}
func (g *DirectedMatrix) has(id int64) bool {
r, _ := g.mat.Dims()
return 0 <= id && id < int64(r)
}

268
vendor/gonum.org/v1/gonum/graph/simple/dense_undirected_matrix.go generated vendored
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@@ -1,268 +0,0 @@
// Copyright ©2014 The Gonum Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package simple
import (
"sort"
"gonum.org/v1/gonum/graph"
"gonum.org/v1/gonum/graph/internal/ordered"
"gonum.org/v1/gonum/graph/iterator"
"gonum.org/v1/gonum/mat"
)
var (
um *UndirectedMatrix
_ graph.Graph = um
_ graph.Undirected = um
_ edgeSetter = um
_ weightedEdgeSetter = um
)
// UndirectedMatrix represents an undirected graph using an adjacency
// matrix such that all IDs are in a contiguous block from 0 to n-1.
// Edges are stored implicitly as an edge weight, so edges stored in
// the graph are not recoverable.
type UndirectedMatrix struct {
mat *mat.SymDense
nodes []graph.Node
self float64
absent float64
}
// NewUndirectedMatrix creates an undirected dense graph with n nodes.
// All edges are initialized with the weight given by init. The self parameter
// specifies the cost of self connection, and absent specifies the weight
// returned for absent edges.
func NewUndirectedMatrix(n int, init, self, absent float64) *UndirectedMatrix {
matrix := make([]float64, n*n)
if init != 0 {
for i := range matrix {
matrix[i] = init
}
}
for i := 0; i < len(matrix); i += n + 1 {
matrix[i] = self
}
return &UndirectedMatrix{
mat: mat.NewSymDense(n, matrix),
self: self,
absent: absent,
}
}
// NewUndirectedMatrixFrom creates an undirected dense graph with the given nodes.
// The IDs of the nodes must be contiguous from 0 to len(nodes)-1, but may
// be in any order. If IDs are not contiguous NewUndirectedMatrixFrom will panic.
// All edges are initialized with the weight given by init. The self parameter
// specifies the cost of self connection, and absent specifies the weight
// returned for absent edges.
func NewUndirectedMatrixFrom(nodes []graph.Node, init, self, absent float64) *UndirectedMatrix {
sort.Sort(ordered.ByID(nodes))
for i, n := range nodes {
if int64(i) != n.ID() {
panic("simple: non-contiguous node IDs")
}
}
g := NewUndirectedMatrix(len(nodes), init, self, absent)
g.nodes = nodes
return g
}
// Edge returns the edge from u to v if such an edge exists and nil otherwise.
// The node v must be directly reachable from u as defined by the From method.
func (g *UndirectedMatrix) Edge(uid, vid int64) graph.Edge {
return g.WeightedEdgeBetween(uid, vid)
}
// EdgeBetween returns the edge between nodes x and y.
func (g *UndirectedMatrix) EdgeBetween(uid, vid int64) graph.Edge {
return g.WeightedEdgeBetween(uid, vid)
}
// Edges returns all the edges in the graph.
func (g *UndirectedMatrix) Edges() graph.Edges {
var edges []graph.Edge
r, _ := g.mat.Dims()
for i := 0; i < r; i++ {
for j := i + 1; j < r; j++ {
if w := g.mat.At(i, j); !isSame(w, g.absent) {
edges = append(edges, WeightedEdge{F: g.Node(int64(i)), T: g.Node(int64(j)), W: w})
}
}
}
if len(edges) == 0 {
return graph.Empty
}
return iterator.NewOrderedEdges(edges)
}
// From returns all nodes in g that can be reached directly from n.
func (g *UndirectedMatrix) From(id int64) graph.Nodes {
if !g.has(id) {
return graph.Empty
}
var nodes []graph.Node
r := g.mat.Symmetric()
for i := 0; i < r; i++ {
if int64(i) == id {
continue
}
// id is not greater than maximum int by this point.
if !isSame(g.mat.At(int(id), i), g.absent) {
nodes = append(nodes, g.Node(int64(i)))
}
}
if len(nodes) == 0 {
return graph.Empty
}
return iterator.NewOrderedNodes(nodes)
}
// HasEdgeBetween returns whether an edge exists between nodes x and y.
func (g *UndirectedMatrix) HasEdgeBetween(uid, vid int64) bool {
if !g.has(uid) {
return false
}
if !g.has(vid) {
return false
}
// uid and vid are not greater than maximum int by this point.
return uid != vid && !isSame(g.mat.At(int(uid), int(vid)), g.absent)
}
// Matrix returns the mat.Matrix representation of the graph.
func (g *UndirectedMatrix) Matrix() mat.Matrix {
// Prevent alteration of dimensions of the returned matrix.
m := *g.mat
return &m
}
// Node returns the node with the given ID if it exists in the graph,
// and nil otherwise.
func (g *UndirectedMatrix) Node(id int64) graph.Node {
if !g.has(id) {
return nil
}
if g.nodes == nil {
return Node(id)
}
return g.nodes[id]
}
// Nodes returns all the nodes in the graph.
func (g *UndirectedMatrix) Nodes() graph.Nodes {
if g.nodes != nil {
nodes := make([]graph.Node, len(g.nodes))
copy(nodes, g.nodes)
return iterator.NewOrderedNodes(nodes)
}
r := g.mat.Symmetric()
// Matrix graphs must have at least one node.
return iterator.NewImplicitNodes(0, r, newSimpleNode)
}
// RemoveEdge removes the edge with the given end point IDs from the graph, leaving the terminal
// nodes. If the edge does not exist it is a no-op.
func (g *UndirectedMatrix) RemoveEdge(fid, tid int64) {
if !g.has(fid) {
return
}
if !g.has(tid) {
return
}
// fid and tid are not greater than maximum int by this point.
g.mat.SetSym(int(fid), int(tid), g.absent)
}
// SetEdge sets e, an edge from one node to another with unit weight. If the ends of the edge are
// not in g or the edge is a self loop, SetEdge panics. SetEdge will store the nodes of
// e in the graph if it was initialized with NewUndirectedMatrixFrom.
func (g *UndirectedMatrix) SetEdge(e graph.Edge) {
g.setWeightedEdge(e, 1)
}
// SetWeightedEdge sets e, an edge from one node to another. If the ends of the edge are not in g
// or the edge is a self loop, SetWeightedEdge panics. SetWeightedEdge will store the nodes of
// e in the graph if it was initialized with NewUndirectedMatrixFrom.
func (g *UndirectedMatrix) SetWeightedEdge(e graph.WeightedEdge) {
g.setWeightedEdge(e, e.Weight())
}
func (g *UndirectedMatrix) setWeightedEdge(e graph.Edge, weight float64) {
from := e.From()
fid := from.ID()
to := e.To()
tid := to.ID()
if fid == tid {
panic("simple: set illegal edge")
}
if int64(int(fid)) != fid {
panic("simple: unavailable from node ID for dense graph")
}
if int64(int(tid)) != tid {
panic("simple: unavailable to node ID for dense graph")
}
if g.nodes != nil {
g.nodes[fid] = from
g.nodes[tid] = to
}
// fid and tid are not greater than maximum int by this point.
g.mat.SetSym(int(fid), int(tid), weight)
}
// Weight returns the weight for the edge between x and y if Edge(x, y) returns a non-nil Edge.
// If x and y are the same node or there is no joining edge between the two nodes the weight
// value returned is either the graph's absent or self value. Weight returns true if an edge
// exists between x and y or if x and y have the same ID, false otherwise.
func (g *UndirectedMatrix) Weight(xid, yid int64) (w float64, ok bool) {
if xid == yid {
return g.self, true
}
if g.HasEdgeBetween(xid, yid) {
// xid and yid are not greater than maximum int by this point.
return g.mat.At(int(xid), int(yid)), true
}
return g.absent, false
}
// WeightedEdge returns the weighted edge from u to v if such an edge exists and nil otherwise.
// The node v must be directly reachable from u as defined by the From method.
func (g *UndirectedMatrix) WeightedEdge(uid, vid int64) graph.WeightedEdge {
return g.WeightedEdgeBetween(uid, vid)
}
// WeightedEdgeBetween returns the weighted edge between nodes x and y.
func (g *UndirectedMatrix) WeightedEdgeBetween(uid, vid int64) graph.WeightedEdge {
if g.HasEdgeBetween(uid, vid) {
// uid and vid are not greater than maximum int by this point.
return WeightedEdge{F: g.Node(uid), T: g.Node(vid), W: g.mat.At(int(uid), int(vid))}
}
return nil
}
// WeightedEdges returns all the edges in the graph.
func (g *UndirectedMatrix) WeightedEdges() graph.WeightedEdges {
var edges []graph.WeightedEdge
r, _ := g.mat.Dims()
for i := 0; i < r; i++ {
for j := i + 1; j < r; j++ {
if w := g.mat.At(i, j); !isSame(w, g.absent) {
edges = append(edges, WeightedEdge{F: g.Node(int64(i)), T: g.Node(int64(j)), W: w})
}
}
}
if len(edges) == 0 {
return graph.Empty
}
return iterator.NewOrderedWeightedEdges(edges)
}
func (g *UndirectedMatrix) has(id int64) bool {
r := g.mat.Symmetric()
return 0 <= id && id < int64(r)
}

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