text:
package monitoring

import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import _ "google.golang.org/genproto/googleapis/api/annotations"
import google_api2 "google.golang.org/genproto/googleapis/api/distribution"
import google_protobuf3 "github.com/golang/protobuf/ptypes/duration"
import google_protobuf2 "github.com/golang/protobuf/ptypes/timestamp"

// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf

// Specifies an ordering relationship on two arguments, here called left and
// right.
type ComparisonType int32

const (
	// No ordering relationship is specified.
	ComparisonType_COMPARISON_UNSPECIFIED ComparisonType = 0
	// The left argument is greater than the right argument.
	ComparisonType_COMPARISON_GT ComparisonType = 1
	// The left argument is greater than or equal to the right argument.
	ComparisonType_COMPARISON_GE ComparisonType = 2
	// The left argument is less than the right argument.
	ComparisonType_COMPARISON_LT ComparisonType = 3
	// The left argument is less than or equal to the right argument.
	ComparisonType_COMPARISON_LE ComparisonType = 4
	// The left argument is equal to the right argument.
	ComparisonType_COMPARISON_EQ ComparisonType = 5
	// The left argument is not equal to the right argument.
	ComparisonType_COMPARISON_NE ComparisonType = 6
)

var ComparisonType_name = map[int32]string{
	0: "COMPARISON_UNSPECIFIED",
	1: "COMPARISON_GT",
	2: "COMPARISON_GE",
	3: "COMPARISON_LT",
	4: "COMPARISON_LE",
	5: "COMPARISON_EQ",
	6: "COMPARISON_NE",
}
var ComparisonType_value = map[string]int32{
	"COMPARISON_UNSPECIFIED": 0,
	"COMPARISON_GT":          1,
	"COMPARISON_GE":          2,
	"COMPARISON_LT":          3,
	"COMPARISON_LE":          4,
	"COMPARISON_EQ":          5,
	"COMPARISON_NE":          6,
}

func (x ComparisonType) String() string {
	return proto.EnumName(ComparisonType_name, int32(x))
}
func (ComparisonType) EnumDescriptor() ([]byte, []int) { return fileDescriptor2, []int{0} }

// The tier of service for a Stackdriver account. Please see the
// [service tiers documentation](https://cloud.google.com/monitoring/accounts/tiers)
// for more details.
type ServiceTier int32

const (
	// An invalid sentinel value, used to indicate that a tier has not
	// been provided explicitly.
	ServiceTier_SERVICE_TIER_UNSPECIFIED ServiceTier = 0
	// The Stackdriver Basic tier, a free tier of service that provides basic
	// features, a moderate allotment of logs, and access to built-in metrics.
	// A number of features are not available in this tier. For more details,
	// see [the service tiers documentation](https://cloud.google.com/monitoring/accounts/tiers).
	ServiceTier_SERVICE_TIER_BASIC ServiceTier = 1
	// The Stackdriver Premium tier, a higher, more expensive tier of service
	// that provides access to all Stackdriver features, lets you use Stackdriver
	// with AWS accounts, and has a larger allotments for logs and metrics. For
	// more details, see [the service tiers documentation](https://cloud.google.com/monitoring/accounts/tiers).
	ServiceTier_SERVICE_TIER_PREMIUM ServiceTier = 2
)

var ServiceTier_name = map[int32]string{
	0: "SERVICE_TIER_UNSPECIFIED",
	1: "SERVICE_TIER_BASIC",
	2: "SERVICE_TIER_PREMIUM",
}
var ServiceTier_value = map[string]int32{
	"SERVICE_TIER_UNSPECIFIED": 0,
	"SERVICE_TIER_BASIC":       1,
	"SERVICE_TIER_PREMIUM":     2,
}

func (x ServiceTier) String() string {
	return proto.EnumName(ServiceTier_name, int32(x))
}
func (ServiceTier) EnumDescriptor() ([]byte, []int) { return fileDescriptor2, []int{1} }

// The Aligner describes how to bring the data points in a single
// time series into temporal alignment.
type Aggregation_Aligner int32

const (
	// No alignment. Raw data is returned. Not valid if cross-time
	// series reduction is requested. The value type of the result is
	// the same as the value type of the input.
	Aggregation_ALIGN_NONE Aggregation_Aligner = 0
	// Align and convert to delta metric type. This alignment is valid
	// for cumulative metrics and delta metrics. Aligning an existing
	// delta metric to a delta metric requires that the alignment
	// period be increased. The value type of the result is the same
	// as the value type of the input.
	//
	// One can think of this aligner as a rate but without time units; that
	// is, the output is conceptually (second_point - first_point).
	Aggregation_ALIGN_DELTA Aggregation_Aligner = 1
	// Align and convert to a rate. This alignment is valid for
	// cumulative metrics and delta metrics with numeric values. The output is a
	// gauge metric with value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	//
	// One can think of this aligner as conceptually providing the slope of
	// the line that passes through the value at the start and end of the
	// window. In other words, this is conceptually ((y1 - y0)/(t1 - t0)),
	// and the output unit is one that has a "/time" dimension.
	//
	// If, by rate, you are looking for percentage change, see the
	// `ALIGN_PERCENT_CHANGE` aligner option.
	Aggregation_ALIGN_RATE Aggregation_Aligner = 2
	// Align by interpolating between adjacent points around the
	// period boundary. This alignment is valid for gauge
	// metrics with numeric values. The value type of the result is the same
	// as the value type of the input.
	Aggregation_ALIGN_INTERPOLATE Aggregation_Aligner = 3
	// Align by shifting the oldest data point before the period
	// boundary to the boundary. This alignment is valid for gauge
	// metrics. The value type of the result is the same as the
	// value type of the input.
	Aggregation_ALIGN_NEXT_OLDER Aggregation_Aligner = 4
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the minimum of all data points in the
	// period. This alignment is valid for gauge and delta metrics with numeric
	// values. The value type of the result is the same as the value
	// type of the input.
	Aggregation_ALIGN_MIN Aggregation_Aligner = 10
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the maximum of all data points in the
	// period. This alignment is valid for gauge and delta metrics with numeric
	// values. The value type of the result is the same as the value
	// type of the input.
	Aggregation_ALIGN_MAX Aggregation_Aligner = 11
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the average or arithmetic mean of all
	// data points in the period. This alignment is valid for gauge and delta
	// metrics with numeric values. The value type of the output is
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_MEAN Aggregation_Aligner = 12
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the count of all data points in the
	// period. This alignment is valid for gauge and delta metrics with numeric
	// or Boolean values. The value type of the output is
	// [INT64][google.api.MetricDescriptor.ValueType.INT64].
	Aggregation_ALIGN_COUNT Aggregation_Aligner = 13
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the sum of all data points in the
	// period. This alignment is valid for gauge and delta metrics with numeric
	// and distribution values. The value type of the output is the
	// same as the value type of the input.
	Aggregation_ALIGN_SUM Aggregation_Aligner = 14
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the standard deviation of all data
	// points in the period. This alignment is valid for gauge and delta metrics
	// with numeric values. The value type of the output is
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_STDDEV Aggregation_Aligner = 15
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the count of True-valued data points in the
	// period. This alignment is valid for gauge metrics with
	// Boolean values. The value type of the output is
	// [INT64][google.api.MetricDescriptor.ValueType.INT64].
	Aggregation_ALIGN_COUNT_TRUE Aggregation_Aligner = 16
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the count of False-valued data points in the
	// period. This alignment is valid for gauge metrics with
	// Boolean values. The value type of the output is
	// [INT64][google.api.MetricDescriptor.ValueType.INT64].
	Aggregation_ALIGN_COUNT_FALSE Aggregation_Aligner = 24
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the fraction of True-valued data points in the
	// period. This alignment is valid for gauge metrics with Boolean values.
	// The output value is in the range [0, 1] and has value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_FRACTION_TRUE Aggregation_Aligner = 17
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the 99th percentile of all data
	// points in the period. This alignment is valid for gauge and delta metrics
	// with distribution values. The output is a gauge metric with value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_PERCENTILE_99 Aggregation_Aligner = 18
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the 95th percentile of all data
	// points in the period. This alignment is valid for gauge and delta metrics
	// with distribution values. The output is a gauge metric with value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_PERCENTILE_95 Aggregation_Aligner = 19
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the 50th percentile of all data
	// points in the period. This alignment is valid for gauge and delta metrics
	// with distribution values. The output is a gauge metric with value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_PERCENTILE_50 Aggregation_Aligner = 20
	// Align time series via aggregation. The resulting data point in
	// the alignment period is the 5th percentile of all data
	// points in the period. This alignment is valid for gauge and delta metrics
	// with distribution values. The output is a gauge metric with value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_PERCENTILE_05 Aggregation_Aligner = 21
	// Align and convert to a percentage change. This alignment is valid for
	// gauge and delta metrics with numeric values. This alignment conceptually
	// computes the equivalent of "((current - previous)/previous)*100"
	// where previous value is determined based on the alignmentPeriod.
	// In the event that previous is 0 the calculated value is infinity with the
	// exception that if both (current - previous) and previous are 0 the
	// calculated value is 0.
	// A 10 minute moving mean is computed at each point of the time window
	// prior to the above calculation to smooth the metric and prevent false
	// positives from very short lived spikes.
	// Only applicable for data that is >= 0. Any values < 0 are treated as
	// no data. While delta metrics are accepted by this alignment special care
	// should be taken that the values for the metric will always be positive.
	// The output is a gauge metric with value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_ALIGN_PERCENT_CHANGE Aggregation_Aligner = 23
)

var Aggregation_Aligner_name = map[int32]string{
	0:  "ALIGN_NONE",
	1:  "ALIGN_DELTA",
	2:  "ALIGN_RATE",
	3:  "ALIGN_INTERPOLATE",
	4:  "ALIGN_NEXT_OLDER",
	10: "ALIGN_MIN",
	11: "ALIGN_MAX",
	12: "ALIGN_MEAN",
	13: "ALIGN_COUNT",
	14: "ALIGN_SUM",
	15: "ALIGN_STDDEV",
	16: "ALIGN_COUNT_TRUE",
	24: "ALIGN_COUNT_FALSE",
	17: "ALIGN_FRACTION_TRUE",
	18: "ALIGN_PERCENTILE_99",
	19: "ALIGN_PERCENTILE_95",
	20: "ALIGN_PERCENTILE_50",
	21: "ALIGN_PERCENTILE_05",
	23: "ALIGN_PERCENT_CHANGE",
}
var Aggregation_Aligner_value = map[string]int32{
	"ALIGN_NONE":           0,
	"ALIGN_DELTA":          1,
	"ALIGN_RATE":           2,
	"ALIGN_INTERPOLATE":    3,
	"ALIGN_NEXT_OLDER":     4,
	"ALIGN_MIN":            10,
	"ALIGN_MAX":            11,
	"ALIGN_MEAN":           12,
	"ALIGN_COUNT":          13,
	"ALIGN_SUM":            14,
	"ALIGN_STDDEV":         15,
	"ALIGN_COUNT_TRUE":     16,
	"ALIGN_COUNT_FALSE":    24,
	"ALIGN_FRACTION_TRUE":  17,
	"ALIGN_PERCENTILE_99":  18,
	"ALIGN_PERCENTILE_95":  19,
	"ALIGN_PERCENTILE_50":  20,
	"ALIGN_PERCENTILE_05":  21,
	"ALIGN_PERCENT_CHANGE": 23,
}

func (x Aggregation_Aligner) String() string {
	return proto.EnumName(Aggregation_Aligner_name, int32(x))
}
func (Aggregation_Aligner) EnumDescriptor() ([]byte, []int) { return fileDescriptor2, []int{2, 0} }

// A Reducer describes how to aggregate data points from multiple
// time series into a single time series.
type Aggregation_Reducer int32

const (
	// No cross-time series reduction. The output of the aligner is
	// returned.
	Aggregation_REDUCE_NONE Aggregation_Reducer = 0
	// Reduce by computing the mean across time series for each
	// alignment period. This reducer is valid for delta and
	// gauge metrics with numeric or distribution values. The value type of the
	// output is [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_REDUCE_MEAN Aggregation_Reducer = 1
	// Reduce by computing the minimum across time series for each
	// alignment period. This reducer is valid for delta and
	// gauge metrics with numeric values. The value type of the output
	// is the same as the value type of the input.
	Aggregation_REDUCE_MIN Aggregation_Reducer = 2
	// Reduce by computing the maximum across time series for each
	// alignment period. This reducer is valid for delta and
	// gauge metrics with numeric values. The value type of the output
	// is the same as the value type of the input.
	Aggregation_REDUCE_MAX Aggregation_Reducer = 3
	// Reduce by computing the sum across time series for each
	// alignment period. This reducer is valid for delta and
	// gauge metrics with numeric and distribution values. The value type of
	// the output is the same as the value type of the input.
	Aggregation_REDUCE_SUM Aggregation_Reducer = 4
	// Reduce by computing the standard deviation across time series
	// for each alignment period. This reducer is valid for delta
	// and gauge metrics with numeric or distribution values. The value type of
	// the output is [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_REDUCE_STDDEV Aggregation_Reducer = 5
	// Reduce by computing the count of data points across time series
	// for each alignment period. This reducer is valid for delta
	// and gauge metrics of numeric, Boolean, distribution, and string value
	// type. The value type of the output is
	// [INT64][google.api.MetricDescriptor.ValueType.INT64].
	Aggregation_REDUCE_COUNT Aggregation_Reducer = 6
	// Reduce by computing the count of True-valued data points across time
	// series for each alignment period. This reducer is valid for delta
	// and gauge metrics of Boolean value type. The value type of
	// the output is [INT64][google.api.MetricDescriptor.ValueType.INT64].
	Aggregation_REDUCE_COUNT_TRUE Aggregation_Reducer = 7
	// Reduce by computing the count of False-valued data points across time
	// series for each alignment period. This reducer is valid for delta
	// and gauge metrics of Boolean value type. The value type of
	// the output is [INT64][google.api.MetricDescriptor.ValueType.INT64].
	Aggregation_REDUCE_COUNT_FALSE Aggregation_Reducer = 15
	// Reduce by computing the fraction of True-valued data points across time
	// series for each alignment period. This reducer is valid for delta
	// and gauge metrics of Boolean value type. The output value is in the
	// range [0, 1] and has value type
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE].
	Aggregation_REDUCE_FRACTION_TRUE Aggregation_Reducer = 8
	// Reduce by computing 99th percentile of data points across time series
	// for each alignment period. This reducer is valid for gauge and delta
	// metrics of numeric and distribution type. The value of the output is
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
	Aggregation_REDUCE_PERCENTILE_99 Aggregation_Reducer = 9
	// Reduce by computing 95th percentile of data points across time series
	// for each alignment period. This reducer is valid for gauge and delta
	// metrics of numeric and distribution type. The value of the output is
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
	Aggregation_REDUCE_PERCENTILE_95 Aggregation_Reducer = 10
	// Reduce by computing 50th percentile of data points across time series
	// for each alignment period. This reducer is valid for gauge and delta
	// metrics of numeric and distribution type. The value of the output is
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
	Aggregation_REDUCE_PERCENTILE_50 Aggregation_Reducer = 11
	// Reduce by computing 5th percentile of data points across time series
	// for each alignment period. This reducer is valid for gauge and delta
	// metrics of numeric and distribution type. The value of the output is
	// [DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]
	Aggregation_REDUCE_PERCENTILE_05 Aggregation_Reducer = 12
)

var Aggregation_Reducer_name = map[int32]string{
	0:  "REDUCE_NONE",
	1:  "REDUCE_MEAN",
	2:  "REDUCE_MIN",
	3:  "REDUCE_MAX",
	4:  "REDUCE_SUM",
	5:  "REDUCE_STDDEV",
	6:  "REDUCE_COUNT",
	7:  "REDUCE_COUNT_TRUE",
	15: "REDUCE_COUNT_FALSE",
	8:  "REDUCE_FRACTION_TRUE",
	9:  "REDUCE_PERCENTILE_99",
	10: "REDUCE_PERCENTILE_95",
	11: "REDUCE_PERCENTILE_50",
	12: "REDUCE_PERCENTILE_05",
}
var Aggregation_Reducer_value = map[string]int32{
	"REDUCE_NONE":          0,
	"REDUCE_MEAN":          1,
	"REDUCE_MIN":           2,
	"REDUCE_MAX":           3,
	"REDUCE_SUM":           4,
	"REDUCE_STDDEV":        5,
	"REDUCE_COUNT":         6,
	"REDUCE_COUNT_TRUE":    7,
	"REDUCE_COUNT_FALSE":   15,
	"REDUCE_FRACTION_TRUE": 8,
	"REDUCE_PERCENTILE_99": 9,
	"REDUCE_PERCENTILE_95": 10,
	"REDUCE_PERCENTILE_50": 11,
	"REDUCE_PERCENTILE_05": 12,
}

func (x Aggregation_Reducer) String() string {
	return proto.EnumName(Aggregation_Reducer_name, int32(x))
}
func (Aggregation_Reducer) EnumDescriptor() ([]byte, []int) { return fileDescriptor2, []int{2, 1} }

// A single strongly-typed value.
type TypedValue struct {
	// The typed value field.
	//
	// Types that are valid to be assigned to Value:
	//	*TypedValue_BoolValue
	//	*TypedValue_Int64Value
	//	*TypedValue_DoubleValue
	//	*TypedValue_StringValue
	//	*TypedValue_DistributionValue
	Value isTypedValue_Value `protobuf_oneof:"value"`
}

func (m *TypedValue) Reset()                    { *m = TypedValue{} }
func (m *TypedValue) String() string            { return proto.CompactTextString(m) }
func (*TypedValue) ProtoMessage()               {}
func (*TypedValue) Descriptor() ([]byte, []int) { return fileDescriptor2, []int{0} }

type isTypedValue_Value interface {
	isTypedValue_Value()
}

type TypedValue_BoolValue struct {
	BoolValue bool `protobuf:"varint,1,opt,name=bool_value,json=boolValue,oneof"`
}
type TypedValue_Int64Value struct {
	Int64Value int64 `protobuf:"varint,2,opt,name=int64_value,json=int64Value,oneof"`
}
type TypedValue_DoubleValue struct {
	DoubleValue float64 `protobuf:"fixed64,3,opt,name=double_value,json=doubleValue,oneof"`
}
type TypedValue_StringValue struct {
	StringValue string `protobuf:"bytes,4,opt,name=string_value,json=stringValue,oneof"`
}
type TypedValue_DistributionValue struct {
	DistributionValue *google_api2.Distribution `protobuf:"bytes,5,opt,name=distribution_value,json=distributionValue,oneof"`
}

func (*TypedValue_BoolValue) isTypedValue_Value()         {}
func (*TypedValue_Int64Value) isTypedValue_Value()        {}
func (*TypedValue_DoubleValue) isTypedValue_Value()       {}
func (*TypedValue_StringValue) isTypedValue_Value()       {}
func (*TypedValue_DistributionValue) isTypedValue_Value() {}

func (m *TypedValue) GetValue() isTypedValue_Value {
	if m != nil {
		return m.Value
	}
	return nil
}

func (m *TypedValue) GetBoolValue() bool {
	if x, ok := m.GetValue().(*TypedValue_BoolValue); ok {
		return x.BoolValue
	}
	return false
}

func (m *TypedValue) GetInt64Value() int64 {
	if x, ok := m.GetValue().(*TypedValue_Int64Value); ok {
		return x.Int64Value
	}
	return 0
}

func (m *TypedValue) GetDoubleValue() float64 {
	if x, ok := m.GetValue().(*TypedValue_DoubleValue); ok {
		return x.DoubleValue
	}
	return 0
}

func (m *TypedValue) GetStringValue() string {
	if x, ok := m.GetValue().(*TypedValue_StringValue); ok {
		return x.StringValue
	}
	return ""
}

func (m *TypedValue) GetDistributionValue() *google_api2.Distribution {
	if x, ok := m.GetValue().(*TypedValue_DistributionValue); ok {
		return x.DistributionValue
	}
	return nil
}

// XXX_OneofFuncs is for the internal use of the proto package.
func (*TypedValue) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
	return _TypedValue_OneofMarshaler, _TypedValue_OneofUnmarshaler, _TypedValue_OneofSizer, []interface{}{
		(*TypedValue_BoolValue)(nil),
		(*TypedValue_Int64Value)(nil),
		(*TypedValue_DoubleValue)(nil),
		(*TypedValue_StringValue)(nil),
		(*TypedValue_DistributionValue)(nil),
	}
}

func _TypedValue_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
	m := msg.(*TypedValue)
	// value
	switch x := m.Value.(type) {
	case *TypedValue_BoolValue:
		t := uint64(0)
		if x.BoolValue {
			t = 1
		}
		b.EncodeVarint(1<<3 | proto.WireVarint)
		b.EncodeVarint(t)
	case *TypedValue_Int64Value:
		b.EncodeVarint(2<<3 | proto.WireVarint)
		b.EncodeVarint(uint64(x.Int64Value))
	case *TypedValue_DoubleValue:
		b.EncodeVarint(3<<3 | proto.WireFixed64)
		b.EncodeFixed64(math.Float64bits(x.DoubleValue))
	case *TypedValue_StringValue:
		b.EncodeVarint(4<<3 | proto.WireBytes)
		b.EncodeStringBytes(x.StringValue)
	case *TypedValue_DistributionValue:
		b.EncodeVarint(5<<3 | proto.WireBytes)
		if err := b.EncodeMessage(x.DistributionValue); err != nil {
			return err
		}
	case nil:
	default:
		return fmt.Errorf("TypedValue.Value has unexpected type %T", x)
	}
	return nil
}

func _TypedValue_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
	m := msg.(*TypedValue)
	switch tag {
	case 1: // value.bool_value
		if wire != proto.WireVarint {
			return true, proto.ErrInternalBadWireType
		}
		x, err := b.DecodeVarint()
		m.Value = &TypedValue_BoolValue{x != 0}
		return true, err
	case 2: // value.int64_value
		if wire != proto.WireVarint {
			return true, proto.ErrInternalBadWireType
		}
		x, err := b.DecodeVarint()
		m.Value = &TypedValue_Int64Value{int64(x)}
		return true, err
	case 3: // value.double_value
		if wire != proto.WireFixed64 {
			return true, proto.ErrInternalBadWireType
		}
		x, err := b.DecodeFixed64()
		m.Value = &TypedValue_DoubleValue{math.Float64frombits(x)}
		return true, err
	case 4: // value.string_value
		if wire != proto.WireBytes {
			return true, proto.ErrInternalBadWireType
		}
		x, err := b.DecodeStringBytes()
		m.Value = &TypedValue_StringValue{x}
		return true, err
	case 5: // value.distribution_value
		if wire != proto.WireBytes {
			return true, proto.ErrInternalBadWireType
		}
		msg := new(google_api2.Distribution)
		err := b.DecodeMessage(msg)
		m.Value = &TypedValue_DistributionValue{msg}
		return true, err
	default:
		return false, nil
	}
}

func _TypedValue_OneofSizer(msg proto.Message) (n int) {
	m := msg.(*TypedValue)
	// value
	switch x := m.Value.(type) {
	case *TypedValue_BoolValue:
		n += proto.SizeVarint(1<<3 | proto.WireVarint)
		n += 1
	case *TypedValue_Int64Value:
		n += proto.SizeVarint(2<<3 | proto.WireVarint)
		n += proto.SizeVarint(uint64(x.Int64Value))
	case *TypedValue_DoubleValue:
		n += proto.SizeVarint(3<<3 | proto.WireFixed64)
		n += 8
	case *TypedValue_StringValue:
		n += proto.SizeVarint(4<<3 | proto.WireBytes)
		n += proto.SizeVarint(uint64(len(x.StringValue)))
		n += len(x.StringValue)
	case *TypedValue_DistributionValue:
		s := proto.Size(x.DistributionValue)
		n += proto.SizeVarint(5<<3 | proto.WireBytes)
		n += proto.SizeVarint(uint64(s))
		n += s
	case nil:
	default:
		panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
	}
	return n
}

// A time interval extending just after a start time through an end time.
// If the start time is the same as the end time, then the interval
// represents a single point in time.
type TimeInterval struct {
	// Required. The end of the time interval.
	EndTime *google_protobuf2.Timestamp `protobuf:"bytes,2,opt,name=end_time,json=endTime" json:"end_time,omitempty"`
	// Optional. The beginning of the time interval.  The default value
	// for the start time is the end time. The start time must not be
	// later than the end time.
	StartTime *google_protobuf2.Timestamp `protobuf:"bytes,1,opt,name=start_time,json=startTime" json:"start_time,omitempty"`
}

func (m *TimeInterval) Reset()                    { *m = TimeInterval{} }
func (m *TimeInterval) String() string            { return proto.CompactTextString(m) }
func (*TimeInterval) ProtoMessage()               {}
func (*TimeInterval) Descriptor() ([]byte, []int) { return fileDescriptor2, []int{1} }

func (m *TimeInterval) GetEndTime() *google_protobuf2.Timestamp {
	if m != nil {
		return m.EndTime
	}
	return nil
}

func (m *TimeInterval) GetStartTime() *google_protobuf2.Timestamp {
	if m != nil {
		return m.StartTime
	}
	return nil
}

// Describes how to combine multiple time series to provide different views of
// the data.  Aggregation consists of an alignment step on individual time
// series (`alignment_period` and `per_series_aligner`) followed by an optional
// reduction step of the data across the aligned time series
// (`cross_series_reducer` and `group_by_fields`).  For more details, see
// [Aggregation](/monitoring/api/learn_more#aggregation).
type Aggregation struct {
	// The alignment period for per-[time series][google.monitoring.v3.TimeSeries]
	// alignment. If present, `alignmentPeriod` must be at least 60
	// seconds.  After per-time series alignment, each time series will
	// contain data points only on the period boundaries. If
	// `perSeriesAligner` is not specified or equals `ALIGN_NONE`, then
	// this field is ignored. If `perSeriesAligner` is specified and
	// does not equal `ALIGN_NONE`, then this field must be defined;
	// otherwise an error is returned.
	AlignmentPeriod *google_protobuf3.Duration `protobuf:"bytes,1,opt,name=alignment_period,json=alignmentPeriod" json:"alignment_period,omitempty"`
	// The approach to be used to align individual time series. Not all
	// alignment functions may be applied to all time series, depending
	// on the metric type and value type of the original time
	// series. Alignment may change the metric type or the value type of
	// the time series.
	//
	// Time series data must be aligned in order to perform cross-time
	// series reduction. If `crossSeriesReducer` is specified, then
	// `perSeriesAligner` must be specified and not equal `ALIGN_NONE`
	// and `alignmentPeriod` must be specified; otherwise, an error is
	// returned.
	PerSeriesAligner Aggregation_Aligner `protobuf:"varint,2,opt,name=per_series_aligner,json=perSeriesAligner,enum=google.monitoring.v3.Aggregation_Aligner" json:"per_series_aligner,omitempty"`
	// The approach to be used to combine time series. Not all reducer
	// functions may be applied to all time series, depending on the
	// metric type and the value type of the original time
	// series. Reduction may change the metric type of value type of the
	// time series.
	//
	// Time series data must be aligned in order to perform cross-time
	// series reduction. If `crossSeriesReducer` is specified, then
	// `perSeriesAligner` must be specified and not equal `ALIGN_NONE`
	// and `alignmentPeriod` must be specified; otherwise, an error is
	// returned.
	CrossSeriesReducer Aggregation_Reducer `protobuf:"varint,4,opt,name=cross_series_reducer,json=crossSeriesReducer,enum=google.monitoring.v3.Aggregation_Reducer" json:"cross_series_reducer,omitempty"`
	// The set of fields to preserve when `crossSeriesReducer` is
	// specified. The `groupByFields` determine how the time series are
	// partitioned into subsets prior to applying the aggregation
	// function. Each subset contains time series that have the same
	// value for each of the grouping fields. Each individual time
	// series is a member of exactly one subset. The
	// `crossSeriesReducer` is applied to each subset of time series.
	// It is not possible to reduce across different resource types, so
	// this field implicitly contains `resource.type`.  Fields not
	// specified in `groupByFields` are aggregated away.  If
	// `groupByFields` is not specified and all the time series have
	// the same resource type, then the time series are aggregated into
	// a single output time series. If `crossSeriesReducer` is not
	// defined, this field is ignored.
	GroupByFields []string `protobuf:"bytes,5,rep,name=group_by_fields,json=groupByFields" json:"group_by_fields,omitempty"`
}

func (m *Aggregation) Reset()                    { *m = Aggregation{} }
func (m *Aggregation) String() string            { return proto.CompactTextString(m) }
func (*Aggregation) ProtoMessage()               {}
func (*Aggregation) Descriptor() ([]byte, []int) { return fileDescriptor2, []int{2} }

func (m *Aggregation) GetAlignmentPeriod() *google_protobuf3.Duration {
	if m != nil {
		return m.AlignmentPeriod
	}
	return nil
}

func (m *Aggregation) GetPerSeriesAligner() Aggregation_Aligner {
	if m != nil {
		return m.PerSeriesAligner
	}
	return Aggregation_ALIGN_NONE
}

func (m *Aggregation) GetCrossSeriesReducer() Aggregation_Reducer {
	if m != nil {
		return m.CrossSeriesReducer
	}
	return Aggregation_REDUCE_NONE
}

func (m *Aggregation) GetGroupByFields() []string {
	if m != nil {
		return m.GroupByFields
	}
	return nil
}

func init() {
	proto.RegisterType((*TypedValue)(nil), "google.monitoring.v3.TypedValue")
	proto.RegisterType((*TimeInterval)(nil), "google.monitoring.v3.TimeInterval")
	proto.RegisterType((*Aggregation)(nil), "google.monitoring.v3.Aggregation")
	proto.RegisterEnum("google.monitoring.v3.ComparisonType", ComparisonType_name, ComparisonType_value)
	proto.RegisterEnum("google.monitoring.v3.ServiceTier", ServiceTier_name, ServiceTier_value)
	proto.RegisterEnum("google.monitoring.v3.Aggregation_Aligner", Aggregation_Aligner_name, Aggregation_Aligner_value)
	proto.RegisterEnum("google.monitoring.v3.Aggregation_Reducer", Aggregation_Reducer_name, Aggregation_Reducer_value)
}

func init() { proto.RegisterFile("google/monitoring/v3/common.proto", fileDescriptor2) }

var fileDescriptor2 = []byte{
	// 954 bytes of a gzipped FileDescriptorProto
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}


text:
<?php

declare(strict_types=1);

namespace Orchid\Screen;

use Orchid\Screen\Contracts\Actionable;

trait Commander
{
    /**
     * @return Action[]
     */
    protected function commandBar(): array
    {
        return [];
    }

    /**
     * @param Repository $repository
     *
     * @return array
     */
    protected function buildCommandBar(Repository $repository): array
    {
        return collect($this->commandBar())
            ->map(static function (Actionable $command) use ($repository) {
                return $command->build($repository);
            })->filter()->all();
    }
}

redpajama_set_name: RedPajamaGithub


text:
<?php

// autoload_namespaces.php generated by Composer

$vendorDir = dirname(__DIR__);
$baseDir = dirname($vendorDir);

return array(
    'Twig_Extensions_' => $vendorDir . '/twig/extensions/lib/',
    'Twig_' => $vendorDir . '/twig/twig/lib/',
    'Symfony\\Bundle\\SwiftmailerBundle' => $vendorDir . '/symfony/swiftmailer-bundle/',
    'Symfony\\Bundle\\MonologBundle' => $vendorDir . '/symfony/monolog-bundle/',
    'Symfony\\Bundle\\AsseticBundle' => $vendorDir . '/symfony/assetic-bundle/',
    'Symfony' => $vendorDir . '/symfony/symfony/src/',
    'Stof\\DoctrineExtensionsBundle' => $vendorDir . '/stof/doctrine-extensions-bundle/',
    'SessionHandlerInterface' => $vendorDir . '/symfony/symfony/src/Symfony/Component/HttpFoundation/Resources/stubs',
    'Sensio\\Bundle\\GeneratorBundle' => $vendorDir . '/sensio/generator-bundle/',
    'Sensio\\Bundle\\FrameworkExtraBundle' => $vendorDir . '/sensio/framework-extra-bundle/',
    'Sensio\\Bundle\\DistributionBundle' => $vendorDir . '/sensio/distribution-bundle/',
    'Monolog' => $vendorDir . '/monolog/monolog/src/',
    'Metadata\\' => $vendorDir . '/jms/metadata/src/',
    'JMS\\SecurityExtraBundle' => $vendorDir . '/jms/security-extra-bundle/',
    'JMS\\DiExtraBundle' => $vendorDir . '/jms/di-extra-bundle/',
    'JMS\\AopBundle' => $vendorDir . '/jms/aop-bundle/',
    'Innocead\\CaptchaBundle' => $vendorDir . '/innocead/captcha-bundle/',
    'Gedmo' => $vendorDir . '/gedmo/doctrine-extensions/lib/',
    'Doctrine\\ORM' => $vendorDir . '/doctrine/orm/lib/',
    'Doctrine\\DBAL' => $vendorDir . '/doctrine/dbal/lib/',
    'Doctrine\\Common\\DataFixtures' => $vendorDir . '/doctrine/data-fixtures/lib/',
    'Doctrine\\Common' => $vendorDir . '/doctrine/common/lib/',
    'Doctrine\\Bundle\\FixturesBundle' => $vendorDir . '/doctrine/doctrine-fixtures-bundle/',
    'Doctrine\\Bundle\\DoctrineBundle' => $vendorDir . '/doctrine/doctrine-bundle/',
    'CG\\' => $vendorDir . '/jms/cg/src/',
    'Assetic' => $vendorDir . '/kriswallsmith/assetic/src/',
    '' => $baseDir . '/src/',
);


text:
#include <mitkNavigationDataRecorder.h>
#include <mitkNavigationDataPlayer.h>
#include <mitkNavigationData.h>
#include <mitkStandardFileLocations.h>
#include <mitkTestingMacros.h>

#include <Poco/Path.h>
#include <Poco/File.h>

#include <iostream>
#include <sstream>
#include <fstream>

//for exceptions
#include "mitkIGTException.h"
#include "mitkIGTIOException.h"

class mitkNavigationDataRecorderTestClass
  {
  public:

  static void TestInstantiation()
    {
    // let's create an object of our class
    mitk::NavigationDataRecorder::Pointer recorder = mitk::NavigationDataRecorder::New();
    MITK_TEST_CONDITION( recorder.IsNotNull(), "Testing instatiation of NavigationDataRecorder");
    }

  static void TestRecordingWithGivenStream()
    {
    std::string tmp = "";
  std::ostringstream* stream = new std::ostringstream( std::ostringstream::trunc );
  stream->setf( std::ios::fixed, std::ios::floatfield );

  // let's create an object of our class
  mitk::NavigationDataRecorder::Pointer recorder = mitk::NavigationDataRecorder::New();

  MITK_TEST_CONDITION(recorder->GetInputs().size() == 0, "testing initial number of inputs");
  MITK_TEST_CONDITION(recorder->GetOutputs().size() == 0, "testing initial number of outputs");

  mitk::NavigationData::Pointer naviData = mitk::NavigationData::New();
  recorder->AddNavigationData( naviData );
  //recorder->SetFileName("e:/test");
  //recorder->SetRecordingMode( mitk::NavigationDataRecorder::NormalFile );
  recorder->StartRecording( stream );
  for ( unsigned int i=0; i<5; i++ )
  {
    mitk::Point3D pnt;
    pnt[0] = i + 1;
    pnt[1] = i + 1/2;
    pnt[2] = i +1*3;

    naviData->SetPosition(pnt);
    //naviData->Modified();
    recorder->Update();

    //Sleep(80 + i*10);

  }

  recorder->StopRecording();

  std::string str = stream->str();
  int pos = str.find( "ToolCount=" );
  std::string sub = stream->str().substr(pos+11, 1);
  MITK_TEST_CONDITION( sub.compare("1") == 0, "check if number of inputs is correct by stringstream");

  pos = str.find( "X=" );
  sub = stream->str().substr(pos+3, 1);
  MITK_TEST_CONDITION( sub.compare("1") == 0, "check if the X coordinate is correct");

  pos = str.find( "Y=" );
  sub = stream->str().substr(pos+3, 1);
  MITK_TEST_CONDITION( sub.compare("0") == 0, "check if the Y coordinate is correct");

  pos = str.find( "Z=" );
  sub = stream->str().substr(pos+3, 1);
  MITK_TEST_CONDITION( sub.compare("3") == 0, "check if the Z coordinate is correct");

  recorder->SetFileName("blablabla");
  const char* string = recorder->GetFileName();
  MITK_TEST_CONDITION( strcmp(string, "blablabla") == 0, "check if set- and getName-methods work");

    }

  static void TestRecordingOnHarddiscXML()
    {
    mitk::NavigationDataRecorder::Pointer recorder = mitk::NavigationDataRecorder::New();

    //create filename
    std::string filename = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest.xml";

    recorder->SetFileName(filename.c_str());

    mitk::NavigationData::Pointer naviData = mitk::NavigationData::New();
    recorder->AddNavigationData( naviData );
    recorder->StartRecording();

    for ( unsigned int i=0; i<5; i++ )
     {
     mitk::Point3D pnt;
     pnt[0] = i + 1;
     pnt[1] = i + 1/2;
     pnt[2] = i +1*3;
     naviData->SetPosition(pnt);
     recorder->Update();
     }

    recorder->StopRecording();

    std::string prooffilename = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest-0.xml";
    Poco::File myFile(prooffilename);
    MITK_TEST_CONDITION(myFile.exists(),"Testing XML recording on harddisc (does file exist?).");
    }

  static void TestRecordingOnHarddiscXMLZIP()
    {
    mitk::NavigationDataRecorder::Pointer recorder = mitk::NavigationDataRecorder::New();

    //create filename
    std::string filename = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertestzip.xml";

    recorder->SetFileName(filename.c_str());
    recorder->SetRecordingMode(mitk::NavigationDataRecorder::ZipFile);

    MITK_TEST_CONDITION(recorder->GetRecordingMode()==mitk::NavigationDataRecorder::ZipFile,"Testing setter of recording mode.");

    /* Zip file not supported yet, activate later
    mitk::NavigationData::Pointer naviData = mitk::NavigationData::New();
    recorder->AddNavigationData( naviData );
    recorder->StartRecording();

    for ( unsigned int i=0; i<5; i++ )
     {
     mitk::Point3D pnt;
     pnt[0] = i + 1;
     pnt[1] = i + 1/2;
     pnt[2] = i +1*3;
     naviData->SetPosition(pnt);
     recorder->Update();
     }

    recorder->StopRecording();

    std::string prooffilename = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest-0.xml";
    Poco::File myFile(prooffilename);
    MITK_TEST_CONDITION(myFile.exists(),"Testing XML Zip recording on harddisc (does file exist?).");
    */
    }

  static void TestRecordingOnHarddiscCSV()
    {
    mitk::NavigationDataRecorder::Pointer recorder = mitk::NavigationDataRecorder::New();

    //create filename
    std::string filename = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest.xml";

    recorder->SetFileName(filename.c_str());
    recorder->SetOutputFormat(mitk::NavigationDataRecorder::csv);

    mitk::NavigationData::Pointer naviData = mitk::NavigationData::New();
    recorder->AddNavigationData( naviData );
    recorder->StartRecording();

    for ( unsigned int i=0; i<5; i++ )
     {
     mitk::Point3D pnt;
     pnt[0] = i + 1;
     pnt[1] = i + 1/2;
     pnt[2] = i + 1*3;
     naviData->SetPosition(pnt);
     recorder->Update();
     }

    recorder->StopRecording();

    std::string prooffilename = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest-0.csv";
    Poco::File myFile(prooffilename);
    MITK_TEST_CONDITION(myFile.exists(),"Testing CSV recording on harddisc (does file exist?).");
    }

  static void TestLoadingRecordedXMLFile()
    {
    mitk::NavigationDataPlayer::Pointer myPlayer = mitk::NavigationDataPlayer::New();
    std::string filenameXML = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest-0.xml";
    myPlayer->SetFileName(filenameXML.c_str());
    myPlayer->StartPlaying();

    //only testing first position at the moment
    myPlayer->Update();
    mitk::NavigationData::Pointer thisData = myPlayer->GetOutput();
    mitk::Point3D reference_pnt;
    reference_pnt[0] = 1;
    reference_pnt[1] = 1/2;
    reference_pnt[2] = 1*3;

    myPlayer->StopPlaying();

    MITK_TEST_CONDITION((thisData->GetPosition() == reference_pnt),"Testing load data from xml file.");
    }

  static void TestRecordingInvalidData()
    {
    std::string tmp = "";
    std::ostringstream* stream = new std::ostringstream( std::ostringstream::trunc );
    stream->setf( std::ios::fixed, std::ios::floatfield );

    // let's create an object of our class
    mitk::NavigationDataRecorder::Pointer recorder = mitk::NavigationDataRecorder::New();

    mitk::NavigationData::Pointer naviData = mitk::NavigationData::New();
    recorder->AddNavigationData( naviData );
    naviData->SetDataValid(false);
    //recorder->SetFileName("e:/test");
    //recorder->SetRecordingMode( mitk::NavigationDataRecorder::NormalFile );
    recorder->StartRecording( stream );
    for ( unsigned int i=0; i<5; i++ )
    {
      mitk::Point3D pnt;
      pnt[0] = i + 1;
      pnt[1] = i + 1/2;
      pnt[2] = i +1*3;

      naviData->SetPosition(pnt);
      //naviData->Modified();
      recorder->Update();

      //Sleep(80 + i*10);

    }

    recorder->StopRecording();

    bool record_success = true;

    std::string str = stream->str();
    int pos = str.find( "ToolCount=" );
    std::string sub = stream->str().substr(pos+11, 1);
    if (sub.compare("1") != 0) {record_success = false;}

    pos = str.find( "X=" );
    sub = stream->str().substr(pos+3, 1);
    if (sub.compare("1") != 0) {record_success = false;}

    pos = str.find( "Y=" );
    sub = stream->str().substr(pos+3, 1);
    if (sub.compare("0") != 0) {record_success = false;}

    pos = str.find( "Z=" );
    sub = stream->str().substr(pos+3, 1);
    if (sub.compare("3") != 0) {record_success = false;}

    MITK_TEST_CONDITION(record_success,"Testing recording of invalid data.");

    }

  static void CleanUp()
    {
    std::string filenameXML = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest-0.xml";
    std::string filenameCSV = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest-0.csv";
    Poco::File myFileXML(filenameXML);
    Poco::File myFileCSV(filenameCSV);

    try
    {
    if (myFileXML.exists())
      {myFileXML.remove();}
    }
    catch(std::exception e)
    {
      MITK_WARN << "Cannot delete file while cleanup: " << filenameXML;
    }

    try
    {
    if (myFileCSV.exists())
      {myFileCSV.remove();}
    }
    catch(std::exception e)
    {
      MITK_WARN << "Cannot delete file while cleanup: " << filenameCSV;
    }

    }

  static void TestStartRecordingExceptions()
     {
     //Testing Start Recording for exceptions if recording has already started
     mitk::NavigationDataRecorder::Pointer recorder = mitk::NavigationDataRecorder::New();
     std::string filename = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest.xml";
     recorder->SetFileName(filename.c_str());

     //Testing double call of StartRecording().
     mitk::NavigationData::Pointer naviData = mitk::NavigationData::New();
     recorder->AddNavigationData( naviData );
     recorder->StartRecording();
     recorder->StartRecording();
     recorder->StopRecording();
     MITK_TEST_OUTPUT(<<"Tested double call of StartRecording(). Application should not crash.");

     //Testing exceptions for method StartRecording() when no file is set.
     mitk::NavigationDataRecorder::Pointer recorder1 = mitk::NavigationDataRecorder::New();
     std::string filename1 = mitk::StandardFileLocations::GetInstance()->GetOptionDirectory()+Poco::Path::separator()+"Recordertest.xml";
     recorder->SetFileName("");
     bool exceptionThrown1 = false;
     mitk::NavigationData::Pointer naviData1 = mitk::NavigationData::New();
     recorder1->AddNavigationData( naviData1 );
     try
       {
       recorder1->StartRecording();
       }
     catch(mitk::IGTException)
       {
       exceptionThrown1 = true;
       }
     MITK_TEST_CONDITION(exceptionThrown1,"Testing exception throwing when no file name or file path is set.");

     //Testing double call of StartRecording(stream) method.
     mitk::NavigationDataRecorder::Pointer recorder2 = mitk::NavigationDataRecorder::New();
     std::string tmp = "";
     std::ostringstream stream;// = new std::ostringstream( std::ostringstream::trunc );
     stream.setf( std::ios::fixed, std::ios::floatfield );
     recorder2->StartRecording(&stream);
     recorder2->StartRecording(&stream);
     recorder2->StopRecording();
     MITK_TEST_OUTPUT(<<"Tested double call of StartRecording(stream). Application should not crash.");

     //Testing exceptions if the stream is not good
     mitk::NavigationDataRecorder::Pointer recorder3 = mitk::NavigationDataRecorder::New();
     std::ofstream stream3; //making an invalid stream
     stream3.open("");
     bool exceptionThrown3 = false;
     try
       {
       recorder3->StartRecording(&stream3);
       }
     catch(mitk::IGTException)
       {
       exceptionThrown3 = true;
       }
     MITK_TEST_CONDITION(exceptionThrown3,"Testing exception thrown when the stream in not good.");
     }

  };

/**Documentation
 *  test for the class "NavigationDataRecorder".
 */
int mitkNavigationDataRecorderTest(int /* argc */, char* /*argv*/[])
{
  MITK_TEST_BEGIN("NavigationDataRecorder");

  mitkNavigationDataRecorderTestClass::TestInstantiation();
  mitkNavigationDataRecorderTestClass::TestRecordingWithGivenStream();
  mitkNavigationDataRecorderTestClass::TestRecordingOnHarddiscXML();
  mitkNavigationDataRecorderTestClass::TestRecordingOnHarddiscXMLZIP();
  mitkNavigationDataRecorderTestClass::TestRecordingOnHarddiscCSV();
  mitkNavigationDataRecorderTestClass::TestRecordingInvalidData();
  mitkNavigationDataRecorderTestClass::TestStartRecordingExceptions();

  //Test fails under linux, perhaps reading permission problems, deactivated it temporary
  //mitkNavigationDataRecorderTestClass::TestLoadingRecordedXMLFile();

  mitkNavigationDataRecorderTestClass::CleanUp();

  // always end with this!
  MITK_TEST_END();
}


text:
using System;
using System.Collections.Generic;
using System.Text;

namespace Server.DataConverter.Npcs.V4
{
    public class Npc
    {
        public string Name { get; set; }
        public string AttackSay { get; set; }

        public int Sprite { get; set; }
        public int SpawnSecs { get; set; }

        public Enums.NpcBehavior Behavior { get; set; }
        public int Range { get; set; }

        public int Species { get; set; }
        public bool Big { get; set; }
        public int SpawnTime { get; set; }
        public NpcDrop[] Drops { get; set; }

        public int RecruitRate { get; set; }
        public int RecruitLevel { get; set; }

        public int Spell { get; set; }
        public int Frequency { get; set; }

        public string AIScript { get; set; }

        public Npc() {
            Name = "";
            AttackSay = "";
            Drops = new NpcDrop[Constants.MAX_NPC_DROPS];
            for (int i = 0; i < Constants.MAX_NPC_DROPS; i++) {
                Drops[i] = new NpcDrop();
            }
        }
    }
}


text:
namespace FileHelpers.WizardApp
{
    partial class FieldFixedControl
    {
        /// <summary>
        /// Required designer variable.
        /// </summary>
        private System.ComponentModel.IContainer components = null;

        /// <summary>
        /// Clean up any resources being used.
        /// </summary>
        /// <param name="disposing">true if managed resources should be disposed; otherwise, false.</param>
        protected override void Dispose(bool disposing)
        {
            if (disposing && (components != null))
            {
                components.Dispose();
            }
            base.Dispose(disposing);
        }

        #region Component Designer generated code

        /// <summary>
        /// Required method for Designer support - do not modify
        /// the contents of this method with the code editor.
        /// </summary>
        private void InitializeComponent()
        {
            this.label3 = new System.Windows.Forms.Label();
            this.txtLength = new System.Windows.Forms.NumericUpDown();
            ((System.ComponentModel.ISupportInitialize)(this.txtLength)).BeginInit();
            this.SuspendLayout();
            //
            // label3
            //
            this.label3.AutoSize = true;
            this.label3.BackColor = System.Drawing.Color.Transparent;
            this.label3.Location = new System.Drawing.Point(7, 30);
            this.label3.Name = "label3";
            this.label3.Size = new System.Drawing.Size(40, 13);
            this.label3.TabIndex = 5;
            this.label3.Text = "Length";
            this.label3.Click += new System.EventHandler(this.LabelControlsClick);
            //
            // txtLength
            //
            this.txtLength.BorderStyle = System.Windows.Forms.BorderStyle.FixedSingle;
            this.txtLength.Font = new System.Drawing.Font("Tahoma", 8.25F, System.Drawing.FontStyle.Bold, System.Drawing.GraphicsUnit.Point, ((byte)(0)));
            this.txtLength.Location = new System.Drawing.Point(45, 28);
            this.txtLength.Maximum = new decimal(new int[] {
            1000,
            0,
            0,
            0});
            this.txtLength.Minimum = new decimal(new int[] {
            1,
            0,
            0,
            0});
            this.txtLength.Name = "txtLength";
            this.txtLength.Size = new System.Drawing.Size(50, 21);
            this.txtLength.TabIndex = 10;
            this.txtLength.TextAlign = System.Windows.Forms.HorizontalAlignment.Right;
            this.txtLength.Value = new decimal(new int[] {
            1,
            0,
            0,
            0});
            this.txtLength.ValueChanged += new System.EventHandler(this.numericUpDown1_ValueChanged);
            //
            // FieldFixedControl
            //
            this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 13F);
            this.AutoScaleMode = System.Windows.Forms.AutoScaleMode.Font;
            this.Controls.Add(this.txtLength);
            this.Controls.Add(this.label3);
            this.Name = "FieldFixedControl";
            this.Controls.SetChildIndex(this.label3, 0);
            this.Controls.SetChildIndex(this.txtLength, 0);
            ((System.ComponentModel.ISupportInitialize)(this.txtLength)).EndInit();
            this.ResumeLayout(false);
            this.PerformLayout();

        }

        #endregion

        private System.Windows.Forms.Label label3;
        private System.Windows.Forms.NumericUpDown txtLength;
    }
}


text:
final class MyModule {
  @Target({FIELD,PARAMETER,METHOD})
  @Retention(RUNTIME)
  public static @interface Dependency { }
}

class MyAnotherModule {}

final class SomeService {

  SomeService(@MyModule.Dependency<caret>) {
  }
}


text:
```go
// objectPartInfo Info of each part kept in the multipart metadata
// file after CompleteMultipartUpload() is called.
type objectPartInfo struct {
	Number int    `json:"number"`
	Name   string `json:"name"`
	ETag   string `json:"etag"`
	Size   int64  `json:"size"`
}

// checkSumInfo - carries checksums of individual scattered parts per disk.
type checkSumInfo struct {
	Name      string `json:"name"`
	Algorithm string `json:"algorithm"`
	Hash      string `json:"hash"`
}

// erasureInfo - carries erasure coding related information, block
// distribution and checksums.
type erasureInfo struct {
	Algorithm    string         `json:"algorithm"`
	DataBlocks   int            `json:"data"`
	ParityBlocks int            `json:"parity"`
	BlockSize    int64          `json:"blockSize"`
	Index        int            `json:"index"`
	Distribution []int          `json:"distribution"`
	Checksum     []checkSumInfo `json:"checksum,omitempty"`
}

// statInfo - carries stat information of the object.
type statInfo struct {
	Size    int64     `json:"size"`    // Size of the object `xl.json`.
	ModTime time.Time `json:"modTime"` // ModTime of the object `xl.json`.
}

// A xlMetaV1 represents `xl.json` metadata header.
type xlMetaV1 struct {
	Version string   `json:"version"` // Version of the current `xl.json`.
	Format  string   `json:"format"`  // Format of the current `xl.json`.
	Stat    statInfo `json:"stat"`    // Stat of the current object `xl.json`.
	// Erasure coded info for the current object `xl.json`.
	Erasure erasureInfo `json:"erasure"`
	// Minio release tag for current object `xl.json`.
	Minio struct {
		Release string `json:"release"`
	} `json:"minio"`
	// Metadata map for current object `xl.json`.
	Meta map[string]string `json:"meta,omitempty"`
	// Captures all the individual object `xl.json`.
	Parts []objectPartInfo `json:"parts,omitempty"`
}
```


text:
namespace network_hints {

// An internal interface to the network_hints component for efficiently sending
// preconnect requests to the net stack.
class RendererPreconnect {
 public:
  RendererPreconnect();
  ~RendererPreconnect();

  // Submit a preconnect request for a single connection.
  void Preconnect(const GURL& url, bool allow_credentials);

 private:

  DISALLOW_COPY_AND_ASSIGN(RendererPreconnect);
};  // class RendererPreconnect

}  // namespace network_hints

#endif  // COMPONENTS_NETWORK_HINTS_RENDERER_RENDERER_PRECONNECT_H_


text:
import extend from '../../../../extend';
export default function GraphComponent() {
	this._isMarked = false;
	this._isVisited = false;
	this.data = null;
}
extend(GraphComponent.prototype, {
	setVisited: function (isVisited) {
		this._isVisited = isVisited;
	},
	isMarked: function () {
		return this._isMarked;
	},
	setData: function (data) {
		this.data = data;
	},
	getData: function () {
		return this.data;
	},
	setMarked: function (isMarked) {
		this._isMarked = isMarked;
	},
	getContext: function () {
		return this.data;
	},
	isVisited: function () {
		return this._isVisited;
	},
	setContext: function (data) {
		this.data = data;
	},
	interfaces_: function () {
		return [];
	},
	getClass: function () {
		return GraphComponent;
	}
});
GraphComponent.getComponentWithVisitedState = function (i, visitedState) {
	while (i.hasNext()) {
		var comp = i.next();
		if (comp.isVisited() === visitedState) return comp;
	}
	return null;
};
GraphComponent.setVisited = function (i, visited) {
	while (i.hasNext()) {
		var comp = i.next();
		comp.setVisited(visited);
	}
};
GraphComponent.setMarked = function (i, marked) {
	while (i.hasNext()) {
		var comp = i.next();
		comp.setMarked(marked);
	}
};


text:
"""
spaceshooter.py
Author: <your name here>
Credit: <list sources used, if any>

Assignment:
Write and submit a program that implements the spacewar game:
https://github.com/HHS-IntroProgramming/Spacewar
"""


text:
@interface MyVitaViewItem : NSCollectionViewItem
- (void)setPath:(NSString *)p;
@end


text:
<?php
require_once __DIR__ . '/noname/bootstrap.php';

// Create an instance of \Noname\Application
$app = \App::create(__DIR__ . '/application');

// Decorate the application instance by passing it through some stack classes
foreach(['\\Noname\\Stack\\Passthrough'] as $stack){
	$app = (new $stack($app))->process();
}

$app->process();


text:
<?php

include ('config.php');

$gantt = new JSONGanttConnector($res, $dbtype);
$gantt->mix("open", 1);
//$gantt->enable_order("sortorder");

$gantt->render_links("gantt_links", "id", "source,target,type");
$gantt->render_table("gantt_tasks_enddate","id","start_date,end_date,text,progress,parent","");

?>


text:
package org.insightech.er.editor.model.diagram_contents.not_element.dictionary;

import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.insightech.er.editor.model.AbstractModel;
import org.insightech.er.editor.model.diagram_contents.element.node.table.TableView;
import org.insightech.er.editor.model.diagram_contents.element.node.table.column.NormalColumn;

public class Dictionary extends AbstractModel {

    private static final long serialVersionUID = -4476318682977312216L;

    private final Map<Word, List<NormalColumn>> wordMap;

    public Dictionary() {
        wordMap = new HashMap<Word, List<NormalColumn>>();
    }

    public void add(final NormalColumn column) {
        final Word word = column.getWord();

        if (word == null) {
            return;
        }

        List<NormalColumn> useColumns = wordMap.get(word);

        if (useColumns == null) {
            useColumns = new ArrayList<NormalColumn>();
            wordMap.put(word, useColumns);
        }

        if (!useColumns.contains(column)) {
            useColumns.add(column);
        }
    }

    public void remove(final NormalColumn column) {
        final Word word = column.getWord();

        if (word == null) {
            return;
        }

        final List<NormalColumn> useColumns = wordMap.get(word);

        if (useColumns != null) {
            useColumns.remove(column);
            if (useColumns.isEmpty()) {
                wordMap.remove(word);
            }
        }
    }

    public void remove(final TableView tableView) {
        for (final NormalColumn normalColumn : tableView.getNormalColumns()) {
            this.remove(normalColumn);
        }
    }

    public void clear() {
        wordMap.clear();
    }

    public List<Word> getWordList() {
        final List<Word> list = new ArrayList<Word>(wordMap.keySet());

        Collections.sort(list);

        return list;
    }

    public List<NormalColumn> getColumnList(final Word word) {
        return wordMap.get(word);
    }

    public void copyTo(final Word from, final Word to) {
        from.copyTo(to);
    }
}


text:
@font-face {
	font-family: 'search_site';
	src:url('../fonts/search_site.eot?dyeqbb');
	src:url('../fonts/search_site.eot?dyeqbb#iefix') format('embedded-opentype'),
		url('../fonts/search_site.ttf?dyeqbb') format('truetype'),
		url('../fonts/search_site.woff?dyeqbb') format('woff'),
		url('../fonts/search_site.svg?dyeqbb#search_site') format('svg');
	font-weight: normal;
	font-style: normal;
}

[class^="icons-"], [class*=" icons-"] {
	font-family: 'search_site';
	speak: none;
	font-style: normal;
	font-weight: normal;
	font-variant: normal;
	text-transform: none;
	line-height: 1;

	/* Better Font Rendering =========== */
	-webkit-font-smoothing: antialiased;
	-moz-osx-font-smoothing: grayscale;
}

.icons-search_nameEN:before {
	content: "\e900";
}
.icons-search_nameTH:before {
	content: "\e901";
}
.icons-search_site:before {
	content: "\e902";
}


text:
title: Can you do it?
date: 2013-08-10 12:30
---

Organic pabst master cleanse, ennui helvetica mlkshk pitchfork kinfolk synth celiac butcher meggings next level. Disrupt shoreditch sustainable, tote bag intelligentsia echo park vinyl meditation ugh pitchfork occupy plaid kinfolk mixtape.

Ethical chia microdosing chicharrones helvetica meditation. Pork belly man bun organic, mixtape yr pickled try-hard portland. Meh health goth try-hard fap selfies bespoke. Pop-up fanny pack tattooed etsy letterpress banjo. Cronut vinyl four loko, flannel mlkshk kitsch hammock hella sartorial photo booth put a bird on it umami gluten-free kogi blog.


text:
<!DOCTYPE html
  PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">

      <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
   <title>Homework_4</title><meta name="generator" content="MATLAB 9.0"><link rel="schema.DC" href="http://purl.org/dc/elements/1.1/"><meta name="DC.date" content="2016-10-02"><meta name="DC.source" content="Homework_4.m">

Contents

Part 1

Part 2

%JavierColton Homework 1

Part 1

clc
clear all

load ('topo.mat');
load('coastlines');

% setup figure properties that we want.
h = figure;
h.InvertHardcopy = 'off';
h.Color = 'k';
h.Position = [100 100 1000 500];
h.PaperPositionMode = 'auto';

%setup the map axes
ax = axesm('Mollweid', 'Frame', 'on', 'Grid','on');
setm(ax, 'MLabelLocation', 60);
setm(ax, 'PLabelLocation', 30);
mlabel('MLabelParallel', 0);
plabel('PLabelMeridian', -25);
axis('off');
setm(ax, 'FontColor', [0.9 0.9 0.9]);
setm(ax, 'GColor', [0.9 0.9 0.9]);

plotm(coastlat, coastlon);
LAT = topolatlim(1):topolatlim(2);
LON =  topolonlim(1):topolonlim(2);

idx180 = find(LON > 180, 1); % find first index of longitude array that is larger than 180 deg
LON(idx180:end) = LON(idx180:end) - 360; % subtract 360 degrees to make lon interval [-180 180] instead of [0 360]

[lon, lat] = meshgrid(LON,LAT); % compute the lat/lon of every grid point in topo
pcolorm(lat,lon,topo); % plot the matrix of elevations on the map
demcmap(topo); % give it a better colormap

colorbar;
c = colorbar;
c.Color = 'w'
ylabel(c, 'Elavation [m]');
hold off

c =

  ColorBar with properties:

    Location: 'eastoutside'
      Limits: [-7.4730e+03 5.8123e+03]
    FontSize: 9
    Position: [0.8583 0.1560 0.0267 0.7240]
       Units: 'normalized'

  Use GET to show all properties

distdim(topo, 'm', 'km');
kmtopo=ans; %pulls answers from function above and names it kmtopo

g = figure;
g.InvertHardcopy = 'off';
g.Color = 'k';
g.Position = [100 100 1000 500];
g.PaperPositionMode = 'auto';

%setup the map axes
ax = axesm('Mollweid', 'Frame', 'on', 'Grid','on');
setm(ax, 'MLabelLocation', 60);
setm(ax, 'PLabelLocation', 30);
mlabel('MLabelParallel', 0);
plabel('PLabelMeridian', -25);
axis('off');
setm(ax, 'FontColor', [0.9 0.9 0.9]);
setm(ax, 'GColor', [0.9 0.9 0.9]);

plotm(coastlat, coastlon);
LAT = topolatlim(1):topolatlim(2);
LON =  topolonlim(1):topolonlim(2);

idx180 = find(LON > 180, 1); % find first index of longitude array that is larger than 180 deg
LON(idx180:end) = LON(idx180:end) - 360; % subtract 360 degrees to make lon interval [-180 180] instead of [0 360]

[lon, lat] = meshgrid(LON,LAT); % compute the lat/lon of every grid point in topo
pcolorm(lat,lon,kmtopo); % plot the matrix of elevations on the map
demcmap(kmtopo); % give it a better colormap

colorbar;
c = colorbar;
c.Color = 'w';

ylabel(c, 'Elavation [km]');
hold off

kmtopo(kmtopo>0)=0;

g = figure;
g.InvertHardcopy = 'off';
g.Color = 'k';
g.Position = [100 100 1000 500];
g.PaperPositionMode = 'auto';

%setup the map axes
ax = axesm('Mollweid', 'Frame', 'on', 'Grid','on');
setm(ax, 'MLabelLocation', 60);
setm(ax, 'PLabelLocation', 30);
mlabel('MLabelParallel', 0);
plabel('PLabelMeridian', -25);
axis('off');
setm(ax, 'FontColor', [0.9 0.9 0.9]);
setm(ax, 'GColor', [0.9 0.9 0.9]);

plotm(coastlat, coastlon);
LAT = topolatlim(1):topolatlim(2);
LON =  topolonlim(1):topolonlim(2);

idx180 = find(LON > 180, 1); % find first index of longitude array that is larger than 180 deg
LON(idx180:end) = LON(idx180:end) - 360; % subtract 360 degrees to make lon interval [-180 180] instead of [0 360]

[lon, lat] = meshgrid(LON,LAT); % compute the lat/lon of every grid point in topo
pcolorm(lat,lon,kmtopo); % plot the matrix of elevations on the map
demcmap(kmtopo); % give it a better colormap

colorbar;
c = colorbar;
c.Color = 'w';

ylabel(c, 'Elavation [km]');
hold off

% To Find the volume one must also find the area of each pixel. We the have
% to multiply the area times the depth and add it up for

circ = 2*pi*6371
pixelWidth = circ/360
pixelHeight = (circ/2)/180
pixelArea = pixelWidth * pixelHeight

volumekmtopo = pixelArea * kmtopo;
negativeTotalVolume = sum(sum(volumekmtopo));
totalVolume = abs(negativeTotalVolume)

circ =

   4.0030e+04

pixelWidth =

  111.1949

pixelHeight =

  111.1949

pixelArea =

   1.2364e+04

totalVolume =

   1.8226e+09

Part 2

%We are slightly overestimating the value of ocean volume using this
%method.

Acell = @(lat1,lat2) (pi*2*(6371^2)*abs(sin((pi/180)*lat1) - sin((pi/180)*lat2)))/360
Acell(29,30)

Acell =

    @(lat1,lat2)(pi*2*(6371^2)*abs(sin((pi/180)*lat1)-sin((pi/180)*lat2)))/360

ans =

   1.0761e+04

Published with MATLAB® R2016a