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org.eclipse.dawnsci.nexus.impl
Class NXlogImpl



java.lang.Object


org.eclipse.dawnsci.analysis.tree.impl.NodeImpl


org.eclipse.dawnsci.analysis.tree.impl.GroupNodeImpl


org.eclipse.dawnsci.nexus.impl.NXobjectImpl


org.eclipse.dawnsci.nexus.impl.NXlogImpl













All Implemented Interfaces:
java.io.Serializable, java.lang.Iterable<NodeLink>, GroupNode, Node, NXlog, NXobject




public class NXlogImpl
extends NXobjectImpl
implements NXlog
Information recorded as a function of time.
 Description of information that is recorded against
 time. There are two common use cases for this:
 - When logging data such as temperature during a run
 - When data is taken in streaming mode data acquisition,
 i.e. just timestamp, value pairs are stored and
 correlated later in data reduction with other data,
 In both cases, NXlog contains
 the logged or streamed values and the times at which they were measured as elapsed time since a starting
 time recorded in ISO8601 format. The time units are
 specified in the units attribute. An optional scaling attribute
 can be used to accomodate non standard clocks.
 This method of storing logged data helps to distinguish
 instances in which a variable is a dimension scale of the data, in which case it is stored
 in an :ref:`NXdata` group, and instances in which it is logged during the
 run, when it should be stored in an :ref:`NXlog` group.
 In order to make random access to timestamped data faster there is an optional array pair of
 ``cue_timestamp_zero`` and ``cue_index``. The ``cue_timestamp_zero`` will
 contain coarser timestamps than in the time array, say
 every five minutes. The ``cue_index`` will then contain the
 index into the time,value pair of arrays for that
 coarser ``cue_timestamp_zero``.

See Also:
Serialized Form












Field Summary

Fields 

Modifier and Type
Field and Description


static java.util.Set<NexusBaseClass>
PERMITTED_CHILD_GROUP_CLASSES 






Fields inherited from class org.eclipse.dawnsci.nexus.impl.NXobjectImpl
NX_CLASS





Fields inherited from class org.eclipse.dawnsci.analysis.tree.impl.NodeImpl
attributes, id, INDENT





Fields inherited from interface org.eclipse.dawnsci.nexus.NXlog
NX_AVERAGE_VALUE, NX_AVERAGE_VALUE_ERROR, NX_CUE_INDEX, NX_CUE_TIMESTAMP_ZERO, NX_CUE_TIMESTAMP_ZERO_ATTRIBUTE_SCALING_FACTOR, NX_CUE_TIMESTAMP_ZERO_ATTRIBUTE_START, NX_DESCRIPTION, NX_DURATION, NX_MAXIMUM_VALUE, NX_MINIMUM_VALUE, NX_RAW_VALUE, NX_TIME, NX_TIME_ATTRIBUTE_SCALING_FACTOR, NX_TIME_ATTRIBUTE_START, NX_VALUE





Fields inherited from interface org.eclipse.dawnsci.analysis.api.tree.Node
ATTRIBUTE, SEPARATOR








Constructor Summary

Constructors 

Constructor and Description


NXlogImpl() 


NXlogImpl(long oid) 









Method Summary

All Methods Instance Methods Concrete Methods 

Modifier and Type
Method and Description


IDataset
getAverage_value_error()
estimated uncertainty (often used: standard deviation) of average_value



java.lang.Double
getAverage_value_errorScalar()
estimated uncertainty (often used: standard deviation) of average_value



IDataset
getAverage_value()

 Type: NX_FLOAT
 Units: NX_ANY



java.lang.Double
getAverage_valueScalar()

 Type: NX_FLOAT
 Units: NX_ANY



IDataset
getCue_index()
Index into the time, value pair matching the corresponding
 cue_timestamp.



java.lang.Long
getCue_indexScalar()
Index into the time, value pair matching the corresponding
 cue_timestamp.



IDataset
getCue_timestamp_zero()
Timestamps matching the corresponding cue_index into the
 time, value pair.



java.lang.Number
getCue_timestamp_zeroAttributeScaling_factor()
If missing start is assumed to be the same as for "time".



java.util.Date
getCue_timestamp_zeroAttributeStart()
If missing start is assumed to be the same as for "time".



java.lang.Number
getCue_timestamp_zeroScalar()
Timestamps matching the corresponding cue_index into the
 time, value pair.



IDataset
getDescription()
Description of logged value



java.lang.String
getDescriptionScalar()
Description of logged value



IDataset
getDuration()
Total time log was taken



java.lang.Double
getDurationScalar()
Total time log was taken



IDataset
getMaximum_value()

 Type: NX_FLOAT
 Units: NX_ANY



java.lang.Double
getMaximum_valueScalar()

 Type: NX_FLOAT
 Units: NX_ANY



IDataset
getMinimum_value()

 Type: NX_FLOAT
 Units: NX_ANY



java.lang.Double
getMinimum_valueScalar()

 Type: NX_FLOAT
 Units: NX_ANY



NexusBaseClass
getNexusBaseClass()
Enum constant from NexusBaseClass for this base class, e.g.



java.lang.Class<? extends NXobject>
getNXclass()
Java Class object of the interface for this base class, e.g.



java.util.Set<NexusBaseClass>
getPermittedChildGroupClasses()
Returns a set containing the NexusBaseClass constants for the permitted child group types
 of this base class.



IDataset
getRaw_value()
Array of raw information, such as thermocouple voltage



java.lang.Number
getRaw_valueScalar()
Array of raw information, such as thermocouple voltage



IDataset
getTime()
Time of logged entry.



java.lang.Number
getTimeAttributeScaling_factor() 


java.util.Date
getTimeAttributeStart() 


java.lang.Number
getTimeScalar()
Time of logged entry.



IDataset
getValue()
Array of logged value, such as temperature.



java.lang.Number
getValueScalar()
Array of logged value, such as temperature.



DataNode
setAverage_value_error(IDataset average_value_error)
estimated uncertainty (often used: standard deviation) of average_value



DataNode
setAverage_value_errorScalar(java.lang.Double average_value_error)
estimated uncertainty (often used: standard deviation) of average_value



DataNode
setAverage_value(IDataset average_value)

 Type: NX_FLOAT
 Units: NX_ANY



DataNode
setAverage_valueScalar(java.lang.Double average_value)

 Type: NX_FLOAT
 Units: NX_ANY



DataNode
setCue_index(IDataset cue_index)
Index into the time, value pair matching the corresponding
 cue_timestamp.



DataNode
setCue_indexScalar(java.lang.Long cue_index)
Index into the time, value pair matching the corresponding
 cue_timestamp.



DataNode
setCue_timestamp_zero(IDataset cue_timestamp_zero)
Timestamps matching the corresponding cue_index into the
 time, value pair.



void
setCue_timestamp_zeroAttributeScaling_factor(java.lang.Number scaling_factor)
If missing start is assumed to be the same as for "time".



void
setCue_timestamp_zeroAttributeStart(java.util.Date start)
If missing start is assumed to be the same as for "time".



DataNode
setCue_timestamp_zeroScalar(java.lang.Number cue_timestamp_zero)
Timestamps matching the corresponding cue_index into the
 time, value pair.



DataNode
setDescription(IDataset description)
Description of logged value



DataNode
setDescriptionScalar(java.lang.String description)
Description of logged value



DataNode
setDuration(IDataset duration)
Total time log was taken



DataNode
setDurationScalar(java.lang.Double duration)
Total time log was taken



DataNode
setMaximum_value(IDataset maximum_value)

 Type: NX_FLOAT
 Units: NX_ANY



DataNode
setMaximum_valueScalar(java.lang.Double maximum_value)

 Type: NX_FLOAT
 Units: NX_ANY



DataNode
setMinimum_value(IDataset minimum_value)

 Type: NX_FLOAT
 Units: NX_ANY



DataNode
setMinimum_valueScalar(java.lang.Double minimum_value)

 Type: NX_FLOAT
 Units: NX_ANY



DataNode
setRaw_value(IDataset raw_value)
Array of raw information, such as thermocouple voltage



DataNode
setRaw_valueScalar(java.lang.Number raw_value)
Array of raw information, such as thermocouple voltage



DataNode
setTime(IDataset time)
Time of logged entry.



void
setTimeAttributeScaling_factor(java.lang.Number scaling_factor) 


void
setTimeAttributeStart(java.util.Date start) 


DataNode
setTimeScalar(java.lang.Number time)
Time of logged entry.



DataNode
setValue(IDataset value)
Array of logged value, such as temperature.



DataNode
setValueScalar(java.lang.Number value)
Array of logged value, such as temperature.







Methods inherited from class org.eclipse.dawnsci.nexus.impl.NXobjectImpl
addExternalLink, appendNodeString, canAddChild, createDataNode, getAllDatasets, getAttr, getAttrBoolean, getAttrDate, getAttrDouble, getAttrLong, getAttrNumber, getAttrString, getBoolean, getChild, getChildren, getChildren, getDataset, getDate, getDouble, getLazyWritableDataset, getLong, getNumber, getString, initializeFixedSizeLazyDataset, initializeLazyDataset, initializeLazyDataset, putChild, setAttribute, setChildren, setDataset, setDate, setField, setString





Methods inherited from class org.eclipse.dawnsci.analysis.tree.impl.GroupNodeImpl
addDataNode, addGroupNode, addNode, addNodeLink, addSymbolicNode, containsDataNode, containsGroupNode, containsNode, containsSymbolicNode, createNodeLink, findLinkedNodeName, findNodeLink, getDataNode, getDataNodeMap, getDataNodes, getDatasets, getGlobalPool, getGroupNode, getGroupNodeMap, getGroupNodes, getNames, getNode, getNodeLink, getNodeNameIterator, getNumberOfDataNodes, getNumberOfGroupNodes, getNumberOfNodelinks, getSymbolicNode, isGroupNode, isPopulated, iterator, removeDataNode, removeDataNode, removeGroupNode, removeGroupNode, removeSymbolicNode, removeSymbolicNode, setGlobalPool, toString





Methods inherited from class org.eclipse.dawnsci.analysis.tree.impl.NodeImpl
addAttribute, containsAttribute, getAttribute, getAttributeIterator, getAttributeNameIterator, getID, getNumberOfAttributes, isDataNode, isSymbolicNode





Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait





Methods inherited from interface org.eclipse.dawnsci.nexus.NXobject
addExternalLink, canAddChild, createDataNode, getAllDatasets, getAttr, getAttrBoolean, getAttrDate, getAttrDouble, getAttrLong, getAttrNumber, getAttrString, getBoolean, getChild, getChildren, getChildren, getDataset, getDate, getDouble, getLazyWritableDataset, getLong, getNumber, getString, initializeFixedSizeLazyDataset, initializeLazyDataset, initializeLazyDataset, putChild, setAttribute, setChildren, setDataset, setField





Methods inherited from interface org.eclipse.dawnsci.analysis.api.tree.GroupNode
addDataNode, addGroupNode, addNode, addNodeLink, addSymbolicNode, containsDataNode, containsGroupNode, containsNode, containsSymbolicNode, findLinkedNodeName, findNodeLink, getDataNode, getDataNodeMap, getDataNodes, getDatasets, getGlobalPool, getGroupNode, getGroupNodeMap, getGroupNodes, getNames, getNode, getNodeLink, getNodeNameIterator, getNumberOfDataNodes, getNumberOfGroupNodes, getNumberOfNodelinks, getSymbolicNode, isPopulated, iterator, removeDataNode, removeDataNode, removeGroupNode, removeGroupNode, removeSymbolicNode, removeSymbolicNode, setGlobalPool





Methods inherited from interface org.eclipse.dawnsci.analysis.api.tree.Node
addAttribute, containsAttribute, getAttribute, getAttributeIterator, getAttributeNameIterator, getID, getNumberOfAttributes, isDataNode, isGroupNode, isSymbolicNode





Methods inherited from interface java.lang.Iterable
forEach, spliterator














Field Detail





PERMITTED_CHILD_GROUP_CLASSES
public static final java.util.Set<NexusBaseClass> PERMITTED_CHILD_GROUP_CLASSES









Constructor Detail





NXlogImpl
public NXlogImpl()







NXlogImpl
public NXlogImpl(long oid)









Method Detail





getNXclass
public java.lang.Class<? extends NXobject> getNXclass()
Description copied from interface: NXobject
Java Class object of the interface for this base class, e.g. NXsample.class.

Specified by:
getNXclass in interface NXobject
Returns:
name of Nexus class








getNexusBaseClass
public NexusBaseClass getNexusBaseClass()
Description copied from interface: NXobject
Enum constant from NexusBaseClass for this base class, e.g. NexusBaseClass.NX_SAMPLE.

Specified by:
getNexusBaseClass in interface NXobject
Returns:
NexusBaseClass enum constant for this class








getPermittedChildGroupClasses
public java.util.Set<NexusBaseClass> getPermittedChildGroupClasses()
Description copied from interface: NXobject
Returns a set containing the NexusBaseClass constants for the permitted child group types
 of this base class.

Specified by:
getPermittedChildGroupClasses in interface NXobject
Returns:
NexusBaseClass constants for permitted child groups








getTime
public IDataset getTime()
Description copied from interface: NXlog
Time of logged entry. The times are relative to the "start" attribute
 and in the units specified in the "units"
 attribute. Please note that absolute
 timestamps under unix are relative to ``1970-01-01T:00:00``.
 The scaling_factor, when present, has to be applied to the time values in order
 to arrive at the units specified in the units attribute. The scaling_factor allows
 for arbitrary time units such as ticks of some hardware clock.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
getTime in interface NXlog
Returns:
the value.








getTimeScalar
public java.lang.Number getTimeScalar()
Description copied from interface: NXlog
Time of logged entry. The times are relative to the "start" attribute
 and in the units specified in the "units"
 attribute. Please note that absolute
 timestamps under unix are relative to ``1970-01-01T:00:00``.
 The scaling_factor, when present, has to be applied to the time values in order
 to arrive at the units specified in the units attribute. The scaling_factor allows
 for arbitrary time units such as ticks of some hardware clock.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
getTimeScalar in interface NXlog
Returns:
the value.








setTime
public DataNode setTime(IDataset time)
Description copied from interface: NXlog
Time of logged entry. The times are relative to the "start" attribute
 and in the units specified in the "units"
 attribute. Please note that absolute
 timestamps under unix are relative to ``1970-01-01T:00:00``.
 The scaling_factor, when present, has to be applied to the time values in order
 to arrive at the units specified in the units attribute. The scaling_factor allows
 for arbitrary time units such as ticks of some hardware clock.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
setTime in interface NXlog
Parameters:
time - the time








setTimeScalar
public DataNode setTimeScalar(java.lang.Number time)
Description copied from interface: NXlog
Time of logged entry. The times are relative to the "start" attribute
 and in the units specified in the "units"
 attribute. Please note that absolute
 timestamps under unix are relative to ``1970-01-01T:00:00``.
 The scaling_factor, when present, has to be applied to the time values in order
 to arrive at the units specified in the units attribute. The scaling_factor allows
 for arbitrary time units such as ticks of some hardware clock.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
setTimeScalar in interface NXlog
Parameters:
time - the time








getTimeAttributeStart
public java.util.Date getTimeAttributeStart()

Specified by:
getTimeAttributeStart in interface NXlog
Returns:
the value.








setTimeAttributeStart
public void setTimeAttributeStart(java.util.Date start)

Specified by:
setTimeAttributeStart in interface NXlog
Parameters:
start - the start








getTimeAttributeScaling_factor
public java.lang.Number getTimeAttributeScaling_factor()

Specified by:
getTimeAttributeScaling_factor in interface NXlog
Returns:
the value.








setTimeAttributeScaling_factor
public void setTimeAttributeScaling_factor(java.lang.Number scaling_factor)

Specified by:
setTimeAttributeScaling_factor in interface NXlog
Parameters:
scaling_factor - the scaling_factor








getValue
public IDataset getValue()
Description copied from interface: NXlog
Array of logged value, such as temperature. If this is
 a single value the dimensionality is
 nEntries. However, NXlog can also be used to store
 multi dimensional time stamped data such as images. In
 this example the dimensionality of values would be value[nEntries,xdim,ydim].
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
getValue in interface NXlog
Returns:
the value.








getValueScalar
public java.lang.Number getValueScalar()
Description copied from interface: NXlog
Array of logged value, such as temperature. If this is
 a single value the dimensionality is
 nEntries. However, NXlog can also be used to store
 multi dimensional time stamped data such as images. In
 this example the dimensionality of values would be value[nEntries,xdim,ydim].
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
getValueScalar in interface NXlog
Returns:
the value.








setValue
public DataNode setValue(IDataset value)
Description copied from interface: NXlog
Array of logged value, such as temperature. If this is
 a single value the dimensionality is
 nEntries. However, NXlog can also be used to store
 multi dimensional time stamped data such as images. In
 this example the dimensionality of values would be value[nEntries,xdim,ydim].
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
setValue in interface NXlog
Parameters:
value - the value








setValueScalar
public DataNode setValueScalar(java.lang.Number value)
Description copied from interface: NXlog
Array of logged value, such as temperature. If this is
 a single value the dimensionality is
 nEntries. However, NXlog can also be used to store
 multi dimensional time stamped data such as images. In
 this example the dimensionality of values would be value[nEntries,xdim,ydim].
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
setValueScalar in interface NXlog
Parameters:
value - the value








getRaw_value
public IDataset getRaw_value()
Description copied from interface: NXlog
Array of raw information, such as thermocouple voltage
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
getRaw_value in interface NXlog
Returns:
the value.








getRaw_valueScalar
public java.lang.Number getRaw_valueScalar()
Description copied from interface: NXlog
Array of raw information, such as thermocouple voltage
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
getRaw_valueScalar in interface NXlog
Returns:
the value.








setRaw_value
public DataNode setRaw_value(IDataset raw_value)
Description copied from interface: NXlog
Array of raw information, such as thermocouple voltage
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
setRaw_value in interface NXlog
Parameters:
raw_value - the raw_value








setRaw_valueScalar
public DataNode setRaw_valueScalar(java.lang.Number raw_value)
Description copied from interface: NXlog
Array of raw information, such as thermocouple voltage
 

 Units: NX_ANY
 Type: NX_NUMBER
 

Specified by:
setRaw_valueScalar in interface NXlog
Parameters:
raw_value - the raw_value








getDescription
public IDataset getDescription()
Description copied from interface: NXlog
Description of logged value

Specified by:
getDescription in interface NXlog
Returns:
the value.








getDescriptionScalar
public java.lang.String getDescriptionScalar()
Description copied from interface: NXlog
Description of logged value

Specified by:
getDescriptionScalar in interface NXlog
Returns:
the value.








setDescription
public DataNode setDescription(IDataset description)
Description copied from interface: NXlog
Description of logged value

Specified by:
setDescription in interface NXlog
Parameters:
description - the description








setDescriptionScalar
public DataNode setDescriptionScalar(java.lang.String description)
Description copied from interface: NXlog
Description of logged value

Specified by:
setDescriptionScalar in interface NXlog
Parameters:
description - the description








getAverage_value
public IDataset getAverage_value()
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getAverage_value in interface NXlog
Returns:
the value.








getAverage_valueScalar
public java.lang.Double getAverage_valueScalar()
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getAverage_valueScalar in interface NXlog
Returns:
the value.








setAverage_value
public DataNode setAverage_value(IDataset average_value)
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setAverage_value in interface NXlog
Parameters:
average_value - the average_value








setAverage_valueScalar
public DataNode setAverage_valueScalar(java.lang.Double average_value)
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setAverage_valueScalar in interface NXlog
Parameters:
average_value - the average_value








getAverage_value_error
public IDataset getAverage_value_error()
Description copied from interface: NXlog
estimated uncertainty (often used: standard deviation) of average_value
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getAverage_value_error in interface NXlog
Returns:
the value.








getAverage_value_errorScalar
public java.lang.Double getAverage_value_errorScalar()
Description copied from interface: NXlog
estimated uncertainty (often used: standard deviation) of average_value
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getAverage_value_errorScalar in interface NXlog
Returns:
the value.








setAverage_value_error
public DataNode setAverage_value_error(IDataset average_value_error)
Description copied from interface: NXlog
estimated uncertainty (often used: standard deviation) of average_value
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setAverage_value_error in interface NXlog
Parameters:
average_value_error - the average_value_error








setAverage_value_errorScalar
public DataNode setAverage_value_errorScalar(java.lang.Double average_value_error)
Description copied from interface: NXlog
estimated uncertainty (often used: standard deviation) of average_value
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setAverage_value_errorScalar in interface NXlog
Parameters:
average_value_error - the average_value_error








getMinimum_value
public IDataset getMinimum_value()
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getMinimum_value in interface NXlog
Returns:
the value.








getMinimum_valueScalar
public java.lang.Double getMinimum_valueScalar()
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getMinimum_valueScalar in interface NXlog
Returns:
the value.








setMinimum_value
public DataNode setMinimum_value(IDataset minimum_value)
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setMinimum_value in interface NXlog
Parameters:
minimum_value - the minimum_value








setMinimum_valueScalar
public DataNode setMinimum_valueScalar(java.lang.Double minimum_value)
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setMinimum_valueScalar in interface NXlog
Parameters:
minimum_value - the minimum_value








getMaximum_value
public IDataset getMaximum_value()
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getMaximum_value in interface NXlog
Returns:
the value.








getMaximum_valueScalar
public java.lang.Double getMaximum_valueScalar()
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getMaximum_valueScalar in interface NXlog
Returns:
the value.








setMaximum_value
public DataNode setMaximum_value(IDataset maximum_value)
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setMaximum_value in interface NXlog
Parameters:
maximum_value - the maximum_value








setMaximum_valueScalar
public DataNode setMaximum_valueScalar(java.lang.Double maximum_value)
Description copied from interface: NXlog

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setMaximum_valueScalar in interface NXlog
Parameters:
maximum_value - the maximum_value








getDuration
public IDataset getDuration()
Description copied from interface: NXlog
Total time log was taken
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getDuration in interface NXlog
Returns:
the value.








getDurationScalar
public java.lang.Double getDurationScalar()
Description copied from interface: NXlog
Total time log was taken
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
getDurationScalar in interface NXlog
Returns:
the value.








setDuration
public DataNode setDuration(IDataset duration)
Description copied from interface: NXlog
Total time log was taken
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setDuration in interface NXlog
Parameters:
duration - the duration








setDurationScalar
public DataNode setDurationScalar(java.lang.Double duration)
Description copied from interface: NXlog
Total time log was taken
 

 Type: NX_FLOAT
 Units: NX_ANY
 

Specified by:
setDurationScalar in interface NXlog
Parameters:
duration - the duration








getCue_timestamp_zero
public IDataset getCue_timestamp_zero()
Description copied from interface: NXlog
Timestamps matching the corresponding cue_index into the
 time, value pair.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
getCue_timestamp_zero in interface NXlog
Returns:
the value.








getCue_timestamp_zeroScalar
public java.lang.Number getCue_timestamp_zeroScalar()
Description copied from interface: NXlog
Timestamps matching the corresponding cue_index into the
 time, value pair.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
getCue_timestamp_zeroScalar in interface NXlog
Returns:
the value.








setCue_timestamp_zero
public DataNode setCue_timestamp_zero(IDataset cue_timestamp_zero)
Description copied from interface: NXlog
Timestamps matching the corresponding cue_index into the
 time, value pair.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
setCue_timestamp_zero in interface NXlog
Parameters:
cue_timestamp_zero - the cue_timestamp_zero








setCue_timestamp_zeroScalar
public DataNode setCue_timestamp_zeroScalar(java.lang.Number cue_timestamp_zero)
Description copied from interface: NXlog
Timestamps matching the corresponding cue_index into the
 time, value pair.
 

 Type: NX_NUMBER
 Units: NX_TIME
 

Specified by:
setCue_timestamp_zeroScalar in interface NXlog
Parameters:
cue_timestamp_zero - the cue_timestamp_zero








getCue_timestamp_zeroAttributeStart
public java.util.Date getCue_timestamp_zeroAttributeStart()
Description copied from interface: NXlog
If missing start is assumed to be the same as for "time".

Specified by:
getCue_timestamp_zeroAttributeStart in interface NXlog
Returns:
the value.








setCue_timestamp_zeroAttributeStart
public void setCue_timestamp_zeroAttributeStart(java.util.Date start)
Description copied from interface: NXlog
If missing start is assumed to be the same as for "time".

Specified by:
setCue_timestamp_zeroAttributeStart in interface NXlog
Parameters:
start - the start








getCue_timestamp_zeroAttributeScaling_factor
public java.lang.Number getCue_timestamp_zeroAttributeScaling_factor()
Description copied from interface: NXlog
If missing start is assumed to be the same as for "time".

Specified by:
getCue_timestamp_zeroAttributeScaling_factor in interface NXlog
Returns:
the value.








setCue_timestamp_zeroAttributeScaling_factor
public void setCue_timestamp_zeroAttributeScaling_factor(java.lang.Number scaling_factor)
Description copied from interface: NXlog
If missing start is assumed to be the same as for "time".

Specified by:
setCue_timestamp_zeroAttributeScaling_factor in interface NXlog
Parameters:
scaling_factor - the scaling_factor








getCue_index
public IDataset getCue_index()
Description copied from interface: NXlog
Index into the time, value pair matching the corresponding
 cue_timestamp.
 

 Type: NX_INT
 

Specified by:
getCue_index in interface NXlog
Returns:
the value.








getCue_indexScalar
public java.lang.Long getCue_indexScalar()
Description copied from interface: NXlog
Index into the time, value pair matching the corresponding
 cue_timestamp.
 

 Type: NX_INT
 

Specified by:
getCue_indexScalar in interface NXlog
Returns:
the value.








setCue_index
public DataNode setCue_index(IDataset cue_index)
Description copied from interface: NXlog
Index into the time, value pair matching the corresponding
 cue_timestamp.
 

 Type: NX_INT
 

Specified by:
setCue_index in interface NXlog
Parameters:
cue_index - the cue_index








setCue_indexScalar
public DataNode setCue_indexScalar(java.lang.Long cue_index)
Description copied from interface: NXlog
Index into the time, value pair matching the corresponding
 cue_timestamp.
 

 Type: NX_INT
 

Specified by:
setCue_indexScalar in interface NXlog
Parameters:
cue_index - the cue_index














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