| Interface | Description |
|---|---|
| BitKey |
Represents a set of bits.
|
| CacheControlImpl.CellRegionImpl | |
| CacheControlImpl.CellRegionVisitor |
Visitor that visits various sub-types of
CacheControl.CellRegion . |
| CacheControlImpl.MemberEditCommandPlus |
Implementation-specific extensions to the
CacheControl.MemberEditCommand interface. |
| CacheControlImpl.MemberSetPlus |
Implementation-specific extensions to the
CacheControl.MemberSet interface. |
| CacheControlImpl.MemberSetVisitor |
Visits the subclasses of
CacheControlImpl.MemberSetPlus . |
| CellKey |
A
CellKey |
| CellReader |
A
CellReader finds the cell value for the current context
held by evaluator . |
| MemberCache |
A
MemberCache can retrieve members based upon their parent and
name. |
| MemberReader |
A
MemberReader implements common operations to retrieve members
from a hierarchy. |
| MemberSource |
A
MemberSource has the basic operations to read the members of a
hierarchy . |
| Modulos |
Modulos implementations encapsulate algorithms to map between integral
ordinals and position arrays.
|
| RolapAggregationManager.PinSet |
A set of segments which are pinned (prevented from garbage collection)
for a short duration as a result of a cache inquiry.
|
| RolapCalculation |
Entry in the evaluation context that indicates a calculation that needs to
be performed before we get to the atomic stored cells.
|
| RolapCubeHierarchy.RolapCubeHierarchyMemberReader |
TODO: Since this is part of a caching strategy, should be implemented
as a Strategy Pattern, avoiding hierarchy.
|
| RolapCubeLevel.LevelReader |
Encapsulation of the difference between levels in terms of how
constraints are generated.
|
| RolapMeasure |
Interface implemented by all measures (both stored and calculated).
|
| RolapMember |
A
RolapMember is a member of a RolapHierarchy . |
| RolapMemberBase.PropertyValueMapFactory |
Interface definition for the pluggable factory used to decide
which implementation of
Map to use to store
property string/value pairs for member properties. |
| RolapMemberInCube |
Extension to
RolapMember that knows the current cube. |
| RolapNative.Listener | |
| RolapNativeSet.SchemaReaderWithMemberReaderAvailable | |
| RolapNativeSql.SqlCompiler |
Translates an expression into SQL
|
| RolapResult.CellInfoContainer |
API for the creation and
lookup of
RolapResult.CellInfo objects. |
| RolapResult.CellInfoPool.CellKeyMaker |
Implementations of CellKeyMaker convert the Cell
position integer array to a
long . |
| RolapResult.ValueFormatter |
Formatter to convert values into formatted strings.
|
| RolapStoredMeasure |
A measure which is implemented by a SQL column or SQL expression (as opposed
to a
RolapCalculatedMember . |
| RolapUtil.ExecuteQueryHook | |
| SqlMemberSource.ValuePoolFactory |
Interface definition for the pluggable factory used to decide
which implementation of
Map to use to pool
reusable values. |
| SqlStatement.Accessor | |
| StarColumnPredicate |
Refinement of
StarPredicate which constrains precisely one column. |
| StarPredicate |
Condition which constrains a set of values of a single
RolapStar.Column or a set of columns. |
| TupleReader |
Describes the public methods of
SqlTupleReader . |
| TupleReader.MemberBuilder |
Factory to create new members for a
hierarchy from SQL result.
|
| Class | Description |
|---|---|
| ArrayMemberSource |
ArrayMemberSource implements a flat, static hierarchy. |
| BatchLoader |
Context for processing a request to the cache manager for segments matching a
collection of cell requests.
|
| BatchLoader.CompositeBatch |
Set of Batches which can grouped together.
|
| BatchLoader.LoadBatchCommand |
Command that loads the segments required for a collection of cell
requests.
|
| BatchLoader.LoadBatchResponse |
Request sent from cache manager to a worker to load segments into
the cache, create segments by rolling up, and to wait for segments
being loaded via SQL.
|
| BatchLoader.RollupInfo | |
| BatchTestCase |
To support all
Batch related tests. |
| BatchTestCase.CellRequestConstraint | |
| BatchTestCase.TestListener |
Gets notified on various test events:
when a matching native evaluator was found
when SQL is executed
when result is found in the cache
|
| BitKey.AbstractBitKey |
Abstract implementation of
BitKey . |
| BitKey.Big |
Implementation of
BitKey with more than 64 bits. |
| BitKey.Factory | |
| BitKey.Mid128 |
Implementation of
BitKey good for sizes less than 128. |
| BitKey.Small |
Implementation of
BitKey for bit counts less than 64. |
| BitKeyTest |
Unit test for
BitKey . |
| CacheControlImpl |
Implementation of
CacheControl API. |
| CacheControlImpl.CrossjoinCellRegion |
Cell region formed by a cartesian product of two or more CellRegions.
|
| CacheControlImpl.EmptyCellRegion |
An empty cell region.
|
| CacheControlImpl.EmptyMemberSet |
Member set containing no members.
|
| CacheControlImpl.MemberCellRegion |
Cell region formed by a list of members.
|
| CacheControlImpl.MemberRangeCellRegion |
Cell region formed a range of members between a lower and upper bound.
|
| CacheControlImpl.MemberSetVisitorImpl |
Default implementation of
CacheControlImpl.MemberSetVisitor . |
| CacheControlImpl.RangeMemberSet |
Member set defined by a range of members between a lower and upper
bound.
|
| CacheControlImpl.SimpleMemberSet |
Member set defined by a list of members from one hierarchy.
|
| CacheControlImpl.UnionMemberSet |
Member set defined by the union of other member sets.
|
| CacheControlTest |
Unit-test for cache-flushing functionality.
|
| CacheMemberReader | |
| CancellationTest | |
| CellKey.Four | |
| CellKey.Generator | |
| CellKey.Many | |
| CellKey.One | |
| CellKey.Three | |
| CellKey.Two | |
| CellKey.Zero | |
| CellKeyTest |
Test that the implementations of the CellKey interface are correct.
|
| ChildByNameConstraint |
Constraint which optimizes the search for a child by name.
|
| CompoundPredicateInfo |
Constructs a Pair
|
| ConnectionKey |
Globally unique identifier for the definition of a JDBC database connection.
|
| DataSourceChangeListenerTest |
Tests for testing the DataSourceChangeListener plugin.
|
| DefaultMemberChildrenConstraint |
Restricts the SQL result set to the parent member of a
MemberChildren query.
|
| DefaultTupleConstraint |
TupleConstraint which does not restrict the result.
|
| DelegatingMemberReader |
A
DelegatingMemberReader is a MemberReader which
redirects all method calls to an underlying MemberReader . |
| DelegatingRolapMember |
Implementation of
RolapMember that delegates all calls
to an underlying member. |
| DescendantsConstraint |
TupleConstaint which restricts the result of a tuple sqlQuery to a
set of parents.
|
| FastBatchingCellReader |
A
FastBatchingCellReader doesn't really Read cells: when asked
to look up the values of stored measures, it lies, and records the fact
that the value was asked for. |
| FastBatchingCellReaderTest |
Test for
FastBatchingCellReader . |
| FastBatchingCellReaderTest.MyDelegatingInvocationHandler | |
| FilterTest |
Tests for Filter and native Filters.
|
| GroupingSetQueryTest |
Test support for generating SQL queries with the
GROUPING SETS
construct, if the DBMS supports it. |
| GroupingSetsCollector |
The
GroupingSetsCollector collects the GroupinpSets and pass
the consolidated list to form group by grouping sets sql |
| HierarchyUsage |
A
HierarchyUsage is the usage of a hierarchy in the context
of a cube. |
| HighCardSqlTupleReader | Deprecated
Deprecated for Mondrian 4.0.
|
| HighDimensionsTest |
Unit-test for non cacheable elementos of high dimensions.
|
| IndexedValuesTest |
Test case for '&[..]' capability in MDX identifiers.
|
| MeasureMemberSource |
A
MeasureMemberSource implements the MemberReader
interface for the special Measures dimension. |
| MemberCacheControlTest |
Unit tests for flushing member cache and editing cached member properties.
|
| MemberCacheHelper |
Encapsulation of member caching.
|
| MemberCacheHelperTest | |
| MemberExcludeConstraint |
Constraint which excludes the members in the list received in constructor.
|
| MemberKey |
MemberKey todo: |
| MemberNoCacheHelper |
Encapsulation of member caching for no caching.
|
| Modulos.Base | |
| Modulos.Generator | |
| Modulos.Many | |
| Modulos.One | |
| Modulos.Three | |
| Modulos.Two | |
| Modulos.Zero | |
| ModulosTest |
Test that the implementations of the Modulos interface are correct.
|
| NativeEvalVirtualCubeTest | |
| NativeFilterAgainstAggTableTest | |
| NativeFilterMatchingTest |
Test case for pushing MDX filter conditions down to SQL.
|
| NoCacheMemberReader |
NoCacheMemberReader implements MemberReader but
without doing any kind of caching and avoiding to read all members. |
| NonEmptyPropertyForAllAxisTest |
Tests the
MondrianProperties.EnableNonEmptyOnAllAxis property. |
| NonEmptyTest |
Tests for NON EMPTY Optimization, includes SqlConstraint type hierarchy and
RolapNative classes.
|
| NumberSqlCompilerTest | |
| RestrictedMemberReader |
A
RestrictedMemberReader reads only the members of a hierarchy
allowed by a role's access profile. |
| RestrictedMemberReader.MultiCardinalityDefaultMember |
This is a special subclass of
DelegatingRolapMember . |
| ResultLoader |
Loader to be iterated to load all results from database.
|
| RolapAggregationManager |
RolapAggregationManager manages all
Segment s in the system. |
| RolapAggregator |
Describes an aggregation operator, such as "sum" or "count".
|
| RolapAggregator.AvgFromAvg |
Aggregator used for aggregate tables implementing the
average aggregator.
|
| RolapAggregator.AvgFromSum |
Aggregator used for aggregate tables implementing the
average aggregator.
|
| RolapAggregator.BaseAggor |
This is the base class for implementing aggregators over sum and
average columns in an aggregate table.
|
| RolapAggregator.SumFromAvg |
This is an aggregator used for aggregate tables implementing the
sum aggregator.
|
| RolapAllCubeMember |
The 'All' member of a
RolapCubeHierarchy . |
| RolapAxis |
Implementation of the Axis interface.
|
| RolapAxisTest |
Unit test for lists and iterators over members and tuples.
|
| RolapBaseCubeMeasure |
Measure which is computed from a SQL column (or expression) and which is
defined in a non-virtual cube.
|
| RolapCacheRegion |
A
RolapCacheRegion represents a region of multidimensional space
in the cache. |
| RolapCalculatedMember |
A
RolapCalculatedMember is a member based upon a
Formula . |
| RolapCell | |
| RolapConnection |
A
RolapConnection is a connection to a Mondrian OLAP Server. |
| RolapConnection.NonEmptyResult |
A
NonEmptyResult filters a result by removing empty rows
on a particular axis. |
| RolapConnectionPool |
Singleton class that holds a connection pool.
|
| RolapConnectionTest |
Unit test for
RolapConnection . |
| RolapCube |
RolapCube implements Cube for a ROLAP database. |
| RolapCube.CubeComparator | |
| RolapCubeDimension |
RolapCubeDimension wraps a RolapDimension for a specific Cube.
|
| RolapCubeHierarchy |
Hierarchy that is associated with a specific Cube.
|
| RolapCubeHierarchy.RolapCubeSqlMemberSource | |
| RolapCubeLevel |
RolapCubeLevel wraps a RolapLevel for a specific Cube.
|
| RolapCubeLevel.AllLevelReaderImpl |
Level reader for the level which contains the 'all' member.
|
| RolapCubeLevel.NullLevelReader |
Level reader for the level which contains the null member.
|
| RolapCubeLevel.ParentChildLevelReaderImpl |
Level reader for a parent-child level which has a closed peer level.
|
| RolapCubeLevel.RegularLevelReader |
Level reader for a regular level.
|
| RolapCubeMember |
RolapCubeMember wraps RolapMembers and binds them to a specific cube.
|
| RolapCubeTest |
Unit test for
RolapCube . |
| RolapCubeUsages |
Provides the base cubes that a virtual cube uses and
specifies if unrelated dimensions to measures from these cubes should be
ignored.
|
| RolapDependencyTestingEvaluator |
Evaluator which checks dependencies of expressions.
|
| RolapDependencyTestingEvaluator.DteCompiler |
Expression compiler which introduces dependency testing.
|
| RolapDependencyTestingEvaluator.DteRoot |
Holds context for a tree of
RolapDependencyTestingEvaluator . |
| RolapDimension |
RolapDimension implements Dimension for a ROLAP
database. |
| RolapEvaluator |
RolapEvaluator evaluates expressions in a dimensional
environment. |
| RolapEvaluatorRoot |
Context at the root of a tree of evaluators.
|
| RolapEvaluatorTest | |
| RolapHierarchy |
RolapHierarchy implements Hierarchy for a ROLAP database. |
| RolapHierarchy.LimitedRollupMember |
Substitute for a member in a hierarchy whose rollup policy is 'partial'
or 'hidden'.
|
| RolapHierarchy.RolapNullMember |
A
RolapNullMember is the null member of its hierarchy. |
| RolapLevel |
RolapLevel implements Level for a ROLAP database. |
| RolapMemberBase |
Basic implementation of a member in a
RolapHierarchy . |
| RolapMemberBase.DefaultPropertyValueMapFactory |
Default
RolapMemberBase.PropertyValueMapFactory
implementation, used if
MondrianProperties.PropertyValueMapFactoryClass
is not set. |
| RolapMemberBase.PropertyValueMapFactoryFactory |
Creates the PropertyValueMapFactory which is in turn used
to create property-value maps for member properties.
|
| RolapMemberBaseTest |
Unit Test for
RolapMemberBase . |
| RolapMemberCalculation |
Implementation of
RolapCalculation
that wraps a calculated member . |
| RolapNamedSetEvaluator |
Evaluation context for a particular named set.
|
| RolapNative |
A factory for
NativeEvaluator . |
| RolapNative.NativeEvent | |
| RolapNative.TupleEvent | |
| RolapNativeCrossJoin |
Creates a
NativeEvaluator that evaluates NON EMPTY
CrossJoin in SQL. |
| RolapNativeCrossJoin.NonEmptyCrossJoinConstraint |
Constraint that restricts the result to the current context.
|
| RolapNativeFilter |
Computes a Filter(set, condition) in SQL.
|
| RolapNativeFilter.FilterConstraint | |
| RolapNativeRegistry |
Composite of
RolapNative s. |
| RolapNativeSet |
Analyses set expressions and executes them in SQL if possible.
|
| RolapNativeSet.SetConstraint |
Constraint for non empty {crossjoin, member.children,
member.descendants, level.members}
|
| RolapNativeSql |
Creates SQL from parse tree nodes.
|
| RolapNativeSql.CompositeSqlCompiler |
Implementation of
RolapNativeSql.SqlCompiler that uses chain of responsibility
to find a matching sql compiler. |
| RolapNativeSqlInjectionTest | |
| RolapNativeTopCount |
Computes a TopCount in SQL.
|
| RolapNativeTopCount.TopCountConstraint | |
| RolapNativeTopCountTest | |
| RolapNativeTopCountTestCases | |
| RolapNativeTopCountVersusNonNativeTest | |
| RolapProfilingEvaluator |
Evaluator that collects profiling information as it evaluates expressions.
|
| RolapProfilingEvaluator.ProfilingEvaluatorCompiler |
Expression compiler which introduces dependency testing.
|
| RolapProperty |
RolapProperty is the definition of a member property. |
| RolapResult |
A
RolapResult is the result of running a query. |
| RolapResult.CellFormatterValueFormatter |
A CellFormatterValueFormatter uses a user-defined
CellFormatter
to format values. |
| RolapResult.CellInfo |
A CellInfo contains all of the information that a Cell requires.
|
| RolapResult.CellInfoMap |
Implementation of
RolapResult.CellInfoContainer which uses a Map to
store CellInfo Objects. |
| RolapResult.CellInfoPool |
Implementation of
RolapResult.CellInfoContainer which uses an
ObjectPool to store RolapResult.CellInfo Objects. |
| RolapResult.CellInfoPool.Four |
For axis of size 4.
|
| RolapResult.CellInfoPool.One |
For axis of size 1.
|
| RolapResult.CellInfoPool.Three |
For axis of size 3.
|
| RolapResult.CellInfoPool.Two |
For axis of size 2.
|
| RolapResult.CellInfoPool.Zero |
For axis of size 0.
|
| RolapResult.FormatValueFormatter | |
| RolapResult.RolapResultEvaluatorRoot |
Extension to
RolapEvaluatorRoot which is capable
of evaluating sets and named sets.
A given set is only evaluated once each time a query is executed; the
result is added to the RolapResult.RolapResultEvaluatorRoot.namedSetEvaluators cache on first execution
and re-used. |
| RolapResultShepherd |
A utility class for
RolapConnection . |
| RolapResultTest |
Testcase for
|
| RolapSchema | |
| RolapSchema.RolapSchemaFunctionTable |
Function table which contains all of the user-defined functions in this
schema, plus all of the standard functions.
|
| RolapSchemaParameter |
Parameter that is defined in a schema.
|
| RolapSchemaPool |
A collection of schemas, identified by their connection properties
(catalog name, JDBC URL, and so forth).
|
| RolapSchemaPoolConcurrencyTest | |
| RolapSchemaPoolTest |
Test for
RolapSchemaPool . |
| RolapSchemaPoolTest.NotReallyDynamicSchemaProcessor | |
| RolapSchemaReader |
A
RolapSchemaReader allows you to read schema objects while
observing the access-control profile specified by a given role. |
| RolapSchemaReaderTest |
Unit test for
SchemaReader . |
| RolapSchemaTest | |
| RolapSetEvaluator |
Evaluation context to be able to expand a generic expression that returns a
set
|
| RolapStar |
A
RolapStar is a star schema. |
| RolapStar.AliasReplacer |
Creates a copy of an expression, everywhere replacing one alias
with another.
|
| RolapStar.Bar |
Temporary.
|
| RolapStar.Column |
A column in a star schema.
|
| RolapStar.ColumnComparator |
Comparator to compare columns based on their name
|
| RolapStar.Condition | |
| RolapStar.Measure |
Definition of a measure in a star schema.
|
| RolapStar.Table |
Definition of a table in a star schema.
|
| RolapStarTest |
Unit test for
RolapStar . |
| RolapStarTest.RolapStarForTests | |
| RolapStatisticsCache |
Provides and caches statistics.
|
| RolapTupleCalculation |
Implementation of
RolapCalculation
that changes one or more dimensions, then evaluates a given calculation. |
| RolapUtil |
Utility methods for classes in the
mondrian.rolap package. |
| RolapUtil.TeeWriter |
Writes to a string and also to an underlying writer.
|
| RolapVirtualCubeMeasure |
Measure which is defined in a virtual cube, and based on a stored measure
in one of the virtual cube's base cubes.
|
| ScenarioImpl |
Implementation of
Scenario . |
| SchemaContentKey |
Globally unique identifier for the metadata content of a schema.
|
| SchemaKey |
Key for an instance of a schema.
|
| SharedDimensionTest |
Unit test for shared dimensions.
|
| SmartIncrementalCache<K,V extends Collection> |
Uses a SmartCache to store a collection of values.
|
| SmartMemberListCache<K,V> |
Uses a
SmartCache to store lists of members,
where the key depends on a SqlConstraint . |
| SmartMemberReader |
SmartMemberReader implements MemberReader by keeping a
cache of members and their children. |
| SmartRestrictedMemberReader |
A
SmartRestrictedMemberReader is a subclass of
RestrictedMemberReader which caches the access rights
per children's list. |
| SqlConstraintFactory |
Creates the right constraint for common tasks.
|
| SqlConstraintUtils |
Utility class used by implementations of
SqlConstraint ,
used to generate constraints into SqlQuery . |
| SqlConstraintUtilsTest |
SqlConstraintUtilsTest tests the functions defined in
SqlConstraintUtils . |
| SqlContextConstraint |
limits the result of a Member SQL query to the current evaluation context.
|
| SqlMemberSource |
A
SqlMemberSource reads members from a SQL database. |
| SqlMemberSource.NullValuePoolFactory |
Default
SqlMemberSource.ValuePoolFactory
implementation, used if
MondrianProperties.SqlMemberSourceValuePoolFactoryClass
is not set. |
| SqlMemberSource.ValuePoolFactoryFactory |
Creates the ValuePoolFactory which is in turn used
to create property-value maps for member properties.
|
| SqlStatement |
SqlStatement contains a SQL statement and associated resources throughout
its lifetime.
|
| SqlStatement.MyDelegatingInvocationHandler |
Reflectively implements the
ResultSet interface by routing method
calls to the result set inside a SqlStatement . |
| SqlStatement.StatementLocus | |
| SqlStatementTest | |
| SqlTupleReader |
Reads the members of a single level (level.members) or of multiple levels
(crossjoin).
|
| StarColumnPredicate.Overlap |
Returned by
StarColumnPredicate.intersect(mondrian.rolap.StarColumnPredicate) ,
describes whether two predicates overlap, and if so, the remaining
predicate. |
| StringList |
StringList makes it easy to build up a comma-separated string. |
| SubstitutingMemberReader |
Implementation of
MemberReader which replaces given members
with a substitute. |
| Target | Deprecated
Deprecated for Mondrian 4.0.
|
| TargetBase |
Base helper class for the SQL tuple readers
HighCardSqlTupleReader and
SqlTupleReader . |
| Test |
todo:
|
| TestAggregationManager |
Unit test for
AggregationManager . |
| TopCountNativeEvaluatorTest |
This class contains tests for some cases related to creating
native evaluator for
TOPCOUNT function. |
| TopCountWithTwoParamsVersusHeadTest |
According to
MSDN
page, when
TOPCOUNT function is called with two parameters
it should mimic the behaviour of HEAD function. |
| TupleConstraintStruct | |
| VirtualCubeTest |
Unit tests for virtual cubes.
|
| Enum | Description |
|---|---|
| HierarchyUsage.Kind | |
| RolapBaseCubeMeasure.DataType | |
| RolapConnectionProperties |
RolapConnectionProperties enumerates the allowable values of
keywords in a Mondrian connect string. |
| RolapLevel.HideMemberCondition |
Conditions under which a level's members may be hidden (thereby creating
a ragged hierarchy).
|
| ScenarioImpl.CellRelation |
Decribes the relationship between two cells.
|
| SqlStatement.Type |
The approximate JDBC type of a column.
|
| SqlTupleReader.WhichSelect |
Description of the position of a SELECT statement in a UNION.
|
| Error | Description |
|---|---|
| BatchTestCase.Bomb |
Fake exception to interrupt the test when we see the desired query.
|


[ all classes ]
[ org.engineFRP.core ]
Coverage Summary for Package: org.engineFRP.core
| Package | Class, % | Method, % | Line, % |
|---|---|---|---|
| org.engineFRP.core | 50% (3/ 6) | 19% (12/ 63) | 16.9% (34/ 201) |
| Class | Class, % | Method, % | Line, % |
|---|---|---|---|
| Transform | 100% (1/ 1) | 30.8% (4/ 13) | 25.6% (11/ 43) |
| Scene | 100% (1/ 1) | 35.7% (5/ 14) | 30.4% (14/ 46) |
| GameObject | 100% (1/ 1) | 15.8% (3/ 19) | 17.3% (9/ 52) |
| ErrorHandling | 0% (0/ 1) | 0% (0/ 3) | 0% (0/ 4) |
| Engine | 0% (0/ 1) | 0% (0/ 8) | 0% (0/ 31) |
| Camera | 0% (0/ 1) | 0% (0/ 6) | 0% (0/ 25) |


Class for symmetric polynomials with no relations, allowing transformation from \(x_i\) variables to \(e_i\) variables and vice-versa.
More...
#include <Symmetric_Basis.hpp>
|
| | SymmetricBasis (int num) |
| | Constructor given number of variables. More...
|
| |
| e_poly_t | operator() (x_poly_t a) const |
| | Transform a polynomial on the original variables to one on the generating basis. More...
|
| |
| x_poly_t | operator() (const e_poly_t &a) const |
| | Transform a polynomial on the generating basis into a polynomial on the original variables. More...
|
| |
| | PolynomialBasis (int num) |
| | Constructor given number of variables. More...
|
| |
| const std::vector< x_poly_t > & | generators () const |
| | Returns vector containing the generating basis. More...
|
| |
| const std::vector< typename new_poly_t::deg_t > & | dimensions () const |
| | Returns vector containing the dimensions of the generating basis (can be empty!) More...
|
| |
| const std::vector< std::string > & | names () const |
| | Returns vector containing the names of the generating basis (can be empty!) More...
|
| |
|
| const int | number_of_variables |
| | The number of (the original) variables of the polynomial ring. More...
|
| |
| std::vector< x_poly_t > | _generators |
| | The generators of the polynomial basis, constructed in the inheriting class. More...
|
| |
| std::vector< typename new_poly_t::deg_t > | generator_dimensions |
| | The dimensions of the generators, optionally constructed in the inheriting class. More...
|
| |
| std::vector< std::string > | generator_names |
| | The names of the generators, optionally constructed in the inheriting class. More...
|
| |
template<class x_poly_t, class e_poly_t>
class symmp::SymmetricBasis< x_poly_t, e_poly_t >
Class for symmetric polynomials with no relations, allowing transformation from \(x_i\) variables to \(e_i\) variables and vice-versa.
- Template Parameters
-
◆ SymmetricBasis()
Constructor given number of variables.
- Parameters
-
| num | The number of variables for our symmetric polynomials |
◆ PolynomialBasis< SymmetricBasis< x_poly_t, e_poly_t >, x_poly_t, e_poly_t >
Befriending parent for CRTP.
The documentation for this class was generated from the following file:


Fancy icon
A wide shot
Very circular, with a twist
A portrait in yellow
Simple icon
Medicore icon
The Big Kahuna
This caption intentionally left blank
The only caption in its row


|
Mmmbop
(Hanson) |
|
You
have so many relationships in this life
Only one or two will last You go through all the pain and strife Then you turn your back and they’re gone so fast So hold on to the ones that really care ‘Cause in the end they’ll be the only ones there And when you get old and start losing your hair Tell me who will still care Can you tell me who will still care. Oh care CHORUS Mmmbop ba du ba dop Ba do bop ba du ba dop Ba do bop ba du ba dop Ba do yah Mmmbop ba du ba dop Ba do bop ba du ba dop Ba do bop ba du ba dop Ba do yah Plant a seed, plant a flower, plant a rose You can plant any one of those Keep planting to find out which one grows It’s a secret no one knows It’s a secret no one knows, no one knows In an mmmbop they’re gone In an mmmbop they’re not there In an mmmbop they’re gone In an mmmbop they’re not there In an mmmbop they’re gone In an mmmbop they’re not there In an mmmbop they’re gone In an mmmbop they’re not there Can you tell me? No you can’t ‘cause you don’t know Can you tell me?   Can tell me which flower is gonna grow? Can you tell me?


How to Print Work Items
First, the print template will need to be configured. Select the work item type below and configure which fields you want to print, and the order the fields should be in. Then click Save.
Once configured, go to the backlog and right-click on a work item and select Print. Multiple work items can be selected as well.
Work items can also be printed from queries. An entire query can be printed by right-clicking on the query and selecting Print All, or clicking Print All at the top of the query toolbar (TFS 2017 or higher only).


Click to see the shortest path from that point to everywhere else. Left-click drag to pan, and mouse-wheel or n/m buttons to zoom. Spacebar stops and starts the tree growth.
Blue lines are bike paths. Green lines are all other paths. Purple is bicycle-designated roads, and red is everything else.
The OpenStreetMap community compiled the map data. This data viz was made by Brandon Martin-Anderson (bmander@mit.edu), developing some ideas for the Changing Places group at the MIT Media Lab. Fork this project on Github.
This thing is a memory hog. Panning in particular will seriously crash your browser after a few minutes. I'll see what I can do.


WITNESS LIST
County Affairs Committee
June 11, 2014 - 10:00 AM
Charge #1 - Population and Economic Growth
On:
Carlton, John (Texas state association of fire and emergency districts)
Dahill, John (Texas Conference of Urban Counties)
Norman, Scott (Texas Association of Builders)
O'Connor, T. Michael (Vitoria Sheriff's Office, Sheriff's Association of Texas, South Texas
Coastal Sheriff Association)
Potter, Lloyd (Office of the State Demographer)
Sugg, Paul (Texas Association of Counties)
Charge #6 - 1115 Waiver / Medical Schools
On:
Berk, Steven (Ttuhsc)
Bogler, Oliver (UT MD Anderson Cancer Center)
Casas, Andrew (UT Health Houston)
Delarosa, Jose (Ttuhsc at elpaso)
Fairchild, Thomas (University of North Texas Health Science Center)
Fenves, Gregory (The University of Texas at Austin)
Foxhall, Lewis (UT MD Anderson Cancer Center)
Gonzalez-Scarano, Francisco (UT Health Science Center San Antonio)
LaFrey, Tim (Seton Healthcare Family)
Lambrecht, Katrina (The University of Texas Medical Branch)
Levin, MD, Jeffrey (The University of Texas Health Science Center at Tyler)
Meyer, Bruce (UT Southwestern Medical Center)
Murphy, Thomas (UT Health Houston)
Ogden, Paul (Texas A&M Health Science Center)
Ray, Lee Ann (Texas A&M Health Science Center)
Young Brown, Patricia (Travis County Healthcare District dba Central Health)
Registering, but not testifying:
On:
Hernandez, Gabriel (UT Health Science Center at San Antonio)
Kirsch, Lisa (Health and Human Services Commission)
Moller, Lesa (Texas Higher Education Coordinating Board)
Pickens, Suzanne (Texas Higher Education Coordinating Board)
1


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Invoice
Some Customer Ltd.
75 Someroad Rd.
P05TC04E Sometown
t: 555-654321
TaxID: 12345687
Joe Bloggs Freelancing
55 Somestreet St.
P05TC04E Somecity
<EMAIL_ADDRESS>t: 555-123456
Invoice No: 324 Date: 2014-06-08
Project Time Tracking & Billing
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Name
Email address
Hourly Rate
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Rules
Solitaire Rules for New Angeles by JK777
Background
- New Angeles is beset by a covert group bent on ensuring the Federalists take over. The player must take control of a
group of Corporations that need to work together to stop the group and maintain control of New Angeles
General
- Unless stated otherwise follow the rules that came with the game; these are referred to as the “normal rules”. Set out
below are the changes to those rules that must be followed in this solo variant.
- The player is required to play three corporations. These corporations are separate entities and the player is not allowed
to trade cards or capital between the three corporations except where allowed by a specific Action or Asset card.
- Player, in these rules, refers to the person playing the solo variant. Corporation is used where player would generally
be used in the normal rules. Substitute the word Corporation for the word player in the normal rules as appropriate.
Setup
- Choose three corporations and follow the set up rules as set out in the normal game, except for the following two changes:
-
Return the Rival cards to the box and do not perform step 10 of the set up. Rival cards are not used in the solo variant.
- Instead of drawing two investment cards per player, just draw two investment cards. Keep 1 and return the other to
the top of the Investment Deck.
Standard Round
-
Follow the steps in a Standard round per the normal rules: Refresh, Resolve Deal, End of Turn, Production Phase and Event
Phase.
Steps of a Deal
-
Asset: Draw the rightmost Asset card and place it in the revealed Asset box.
-
Main Offer: The Active Corporation proposes a Main Offer
-
Counter-offer: The player rolls d100 and refers to the Counter-offer table. This details the number
of Action cards that must be played to win the current deal.
-
Support: In clockwise order, the player can play cards for the other two Corporations in support of
the Main Offer.
-
Resolution: If the Main Offer has at least the number of Action cards detailed on the Counter-offer
table then the Active Corporation claims the revealed Asset card.
-
If the Main Offer has fewer than the number of Action cards detailed on the Counter-offer then discard the Asset card and
resolve the Effect shown on the Counter-offer table.
Demand Round
-
Score Investment: Resolve the Investment card. The player chooses which Corporation gains the capital.
Any capital earned cannot be split between two or more corporations.
-
Pay Demand & Reveal Demand: Remain unchanged from the normal rules.
-
Choose Investment: The player draws two investment cards and keeps one.
Winning & Losing
-
The player loses if threat reaches 25 or if the player fails to score 25 capital (see below).
-
The player’s score at the end of the game is the lowest capital (score) of the three corporations.
-
To increase the difficulty reduce the starting the capital of the three corporations. For example instead of 10, 11 and 12
try 7, 8 and 9.
Asset Cards
-
Unless stated below the text and effect of Asset cards remains unchanged.
-
The text on certain asset cards needs to be amended in the solo rules.
-
Coach Walden: When the Corporation to your right wins a deal, gain 1 capital
-
Saul Eustecio: When the Main Offer fails you may exhaust this card....
-
Isabel McGuire: ....in support of the Main Offer.
- The text on certain Asset cards is not applied in the Solo rules. See the Assets tab for a complete list.
- All of the assets where the text is not applied can be discarded to:
-
Gain 1 capital for the Corporation holding the card or
-
Reroll the dice on any Counter-offer even if the Corporation discarding the Asset is not the Active Corporation. The new
die roll must be accepted and cannot be rerolled again.


Fluid Data Management
- Reduces friction in your data environment.
- Enables leveraging social and other unstructured data.
- Data access becomes simple and intuitive even for business users.
Our mission is simple. We want to industrialize the use of analytics driven decision making in organizations. We have added decades of analytics experience to sophisticated technology so that the handoffs among technology, process and humans are smoothened.


Dearest one, I am Mr Basma Kouakou,the only Son of late chief Swarray Kouakou from Sierra Leone.My sources of your contact gave me the courage andconfidence to rely on you. I am writing you in absolute confidence primarily to seek your assistance to transfer our cash of Sixteen million united state dollars (us$16,000,000) now in the custody of a BANK here in Abidjan to your private account pending our arrival to your country. SOURCE OF THE MONEY My late father, chief Swarray Kouakou, a native of mende district in the Northern province of Sierra Leone, was the general Manager of Sierra Leone mining co-operation (S.L.M.C.) Freetown. According to my father. This money was the income accrued from mining co-operation's over draft and minor sales. Before the peak of the civil war between the rebels forces of major Paul Koroma and the combined forces of ECOMOG peace keeping operation that almost destroyed my country, following the forceful removal from power of the Civilian Elected President Ahmed Tejan Kabbah by the rebels. My father had already made arrangement for his family, my mother, my little sister and myself to be evacuated to Abidjan, Cote d'Ivoire with our personal effects and the box containing team. My father deposited the fund for the safe custody until after the war when he will join us. During the war in my country, and following the indiscriminate looting of public and Government properties by the rebel forces, the sierra Leone mining coop. Was one of the targets looted and destroyed. My father including other top Government functionaries Were attacked and killed by the rebels in November 1999 because of his relationship with the civilian Government of Ahmed Tejan Kabbah. As a result of my father death, and with the news of my uncles involvement in air crash in January, dashed our hope of survival. The untimely deaths caused my mothers heart failure and other related complications of which she later died in the hospital After we must have spent a lot of money on her. Now my 16-year-old Sister and myself are alone in this strange country suffering without any care or help.Without any relation, we are now like refugees and orphans. Our only hope now is in fund our father deposited in the BANK, To this effect, I humbly solicit your assistance in the followings ways. To assist me claim this fund from the BANK as co-beneficiary. To transfer this money in your name to your country. To make a good arrangement for a joint business investment on our behalf in your country and you, the caretaker. To secure a college for my little sister and my self in your country to further our education. And to make arrangement for our travel with you to your country after you have transferred this fund. Most importantly. the whole documents issued after deposit is in my custody. For your assistance, I beg to concede 20% of this money to you for your efforts assistance. I wait for your immediate response<EMAIL_ADDRESS>) Thanks and God bless you Best regards. Basma Kouakou and Susina Kouakou. ___________________________________________________________________________ Con Terra MAIL obtienes 6MB de espacio además de bloqueo ANTISPAM http://terramail.terra.com.mx/TerraMail/ Acceso a Internet 3 x 1, desde ¡$179 pesos al mes! http://www.terra.com.mx/acceso/suscribete/ Encuentra los mejores productos y precios increibles!! Aprovecha nuestra promoción a 12 pagos sin intereses con Banamex y Bancomer http://www.decompras.com/


Bat
Status
About
Level
Charging?
Charging time
Discharging time
Dídac Sabatés
Full Stack Developer
Source code


Ministry of Housing to construct six new mosques, five schools in Oman
by Times News ServiceMuscat: Sheikh Saif bin Mohammed Al Shabibi, Minister of Housing has signed a number of housing agreements in Liwa and Dima Wa Al Tayeen which include mosques, schools and housing units.
A statement published online by Oman News Agency (ONA) said: “The Minister of Housing signed four agreements, including the construction of two huge mosques, six mosques and five schools in the new residential area of Liwa in North Al Batinah Governorate and the construction of 74 housing units in Dima Wa Al Tayeen in North Al Sharqiyah Governorate.”


Workout schedule
- 09:00
- 09:30
- 10:00
- 10:30
- 11:00
- 11:30
- 12:00
- 12:30
- 13:00
- 13:30
- 14:00
- 14:30
- 15:00
- 15:30
- 16:00
- 16:30
- 17:00
- 17:30
- 18:00
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Monday
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Tuesday
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Wednesday
-
Thursday
-
Friday
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Saturday
-
Sunday
APPOINTMENTS
SCHEDULE AN APPOINTMENT
Filter
- All
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Workout
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- Ashtanga yoga
- Hatha yoga
- Classic pilates
- Reformer pilates
- Stott pilates
- Crossfit
- Spartanac
- Body sculpting
- Core
- Cardio Box
- Aerobic attack
- Zumba
Time and number of places


You haven't caught any pokemons just yet.
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|
XPMP2
X-Plane multiplayer library 2 - using instancing
|
Helper class to manage the temporary buffers in which the network message are put together. More...
#include <Remote.h>
Public Member Functions | |
| RmtMsgBufTy () | |
| Constructor: everything stays zeroed. More... | |
| ~RmtMsgBufTy () | |
| Destructor makes sure the buffer is freed up. More... | |
| void | free () |
| Free up the buffer, basically a reset. More... | |
| void | init () |
| If necessary allocate the required buffer, then initialize it to an empty message. More... | |
| bool | add (const ElemTy &_elem) |
| Add another element to the buffer, returns if successful (otherwise full!) More... | |
| bool | empty () const |
| is empty, contains no payload? More... | |
| void | send (UDPMulticast &_mc) |
| send the message (if there is any), then reset the buffer More... | |
| bool | add_send (const ElemTy &_elem, UDPMulticast &_mc) |
| Perform add(), then if necessary send(); returns if sent. More... | |
Public Attributes | |
| void * | pMsg = nullptr |
| points to the actual message buffer of size glob.remoteBufSize More... | |
| size_t | elemCount = 0 |
| number of elements already added to the message More... | |
| size_t | size = 0 |
| current message size More... | |
Helper class to manage the temporary buffers in which the network message are put together.
|
inline |
Constructor: everything stays zeroed.
|
inline |
Destructor makes sure the buffer is freed up.
| bool XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::add | ( | const ElemTy & | _elem | ) |
Add another element to the buffer, returns if successful (otherwise full!)
| bool XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::add_send | ( | const ElemTy & | _elem, |
| UDPMulticast & | _mc | ||
| ) |
|
inline |
is empty, contains no payload?
| void XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::free |
Free up the buffer, basically a reset.
| void XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::init |
If necessary allocate the required buffer, then initialize it to an empty message.
| void XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::send | ( | UDPMulticast & | _mc | ) |
send the message (if there is any), then reset the buffer
| size_t XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::elemCount = 0 |
number of elements already added to the message
| void* XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::pMsg = nullptr |
points to the actual message buffer of size glob.remoteBufSize
| size_t XPMP2::RmtMsgBufTy< ElemTy, MsgTy, msgVer >::size = 0 |
current message size


fishTones.js library has been originally developed to sustain research applications in proteomics at Genentech. Building tools to analyze complex mass spectrometry data was the drive to desgign the features presented across these pages.
However, we have not made here an exhaustive tour of all fishTones.js features. More are demonstrated in the unit test page (see github README). Among them are for example widgets to display multiple XIC tracks, interactively measure XIC peak AUC ratios, some basic statistics and maths functions and much more.
Embedding widgets into different context often mean to adapt the rendering. Either by adapting the style to a particular web application or exporting images to presentations or papers.
fishTones.js widgets are designed to be included in web application. To adapt any rendering aspect
(color, font, line width etc.), the easiest way is to create a css
file and import it after
css/fishtones-js.css
. For mere mortals, css is more a matter of trial and errors, so Chrome
developer tools or firebug will be your best friend!
As soon as a graph is rendered on a screen a scientist will come and ask how to export it for a paper. A raster image might not fit many journals preferring vector format. Fortunately enough, widgets are built in SVG and can be therefore imported into vector graphic editor tools such as Inkscape or Adobe Illustrator (it's sad to say so, but Illustrator looks to handle better some fancy SVG exports here).
The easiest way to export SVG is to use Mike Bostock (the creator of d3.js) svg crowbar. Simply add the link on your bookmark tool bar, and click on it when you are on a web page. Save buttons will appear over each rendered widget on the page.
Multiple applications have been internally developed to support research scientists at Genentech, based on fishTones.js. Here are snapshots from a several of them, to illustrate how basic components can be assemble together.
All the PSM for a protein across 4 runs are displayed via the open source pViz.js library. Identified peptides are plot as blue lines, and red circles stand for oxidation. It is possible to zoom in on the protein sequence, to click on peptide in order to review the annotated peptide or plot the targeted XICs.
Reviewing XIC for a given peptide across a series can be achieved. In this snapshot, we demonstrate the use of an internal retention time algorithm. Having the retention times aligned allow to one LC time range to be selected across all the runs and has proven efficient to measure multiple peptide abundance at once.
Elucidating a peptide sequence (and modifications) is a tedious and repetitive task for mass spectrometrist. We developed a tool to facilitate this task, highlighting fragment distance with a know theoretical value (loss, modification, amino acid), linked to the edition of the peptide sequence.
Instead of identifying full peptides, a backend application can search for smaller peptide tags within one or more MS/MS runs. Peptide alignment are matched and spectra are aligned so that they all zoom in the same area.
This graph represents spectra (gray circles) matching to each others and to peptides (orange circle). Red edges therefore represent PSM and black one SSM (the bolder ones indicate non trivial mass shifts). Vertices can be clicked to display details and edges to show the alignments.


Unit Test Howto
There are way too many reasons to write unit tests, but my favorite one is: the freedom to hack, modify and improve the code without fear, and get quick feedback that you are on the right track.
Of course, writing good integration tests (the stuff under the tests directory) is the best way to validate that everything works, but unit tests has great value as:
- They are much faster to run (~30 seconds in our case)
- You get nice coverage reports with coveralls
- No need to:
make cluster up/sync
- Cover corner cases and easier to debug
Some Notes:
- We use same frameworks (ginkgo, gomega) for unit testing and integration testing, which means that with the same learning curve, you can develop much more!
- “Bang for the Buck” - it usually takes 20% of the time to get to 80% coverage, and 80% of the time to get to 100%. Which mean that you have to use common sense when improving coverage - some code is just fine with 80% coverage (e.g. large files calling some other APIs with little logic), and other would benefit from getting close to 100% (e.g. complex core functionality handling lots of error cases)
- Follow the “boy (or girl) scout rule” - every time you enhance/fix some code, add more testing around the existing code as well
- Avoid “white box testing”, as this will cause endless maintenance of the test code. Best way to assure that, is to put the test code under a different package than the code under test
- Explore coveralls. Not only it will show you the coverage and the overall trend, it will also help you understand which tests are missing. When drilling down into a file, you can see hits per line, and make better decision on what needs to be covered next
Frameworks
There are several frameworks we use to write unit tests:
- The tests themselves are written using ginkgo, which is a Behavior-Driven Development (BDD) framework
- The library used for assertions in the tests is gomega. It has a very rich set of matchers, so, before you write you own code around the “equal” matcher, check here to see if there is a more expressive assertion you can use
- We use GoMock to generate mocks for the different kubevirt interfaces and objects. The command
make generate
will (among other things) create a file holding the mocked version of our objects and interfaces- Many examples exist in our code on how to use this framework
- Also see here for sample code from GoMock
- If you need mocks for k8s objects and interfaces, use their framework. They have a tool called client-gen, which generates both the code and the mocks based on the defined APIs
- Unit test utilities are placed under testutils
- Some integration test utilities are also useful for unit testing, see this file
- When testing interfaces, a mock HTTP server is usually needed. For that we use the golang httptest package
- gomega also has a package called ghttp that could be used for same purpose
Best Practices and Tips
ginkgo
- Don’t mix setup and tests, use BeforeEach/JustBeforeEach for setup and It/Specify for tests
- Don’t write setup/cleanup code under Describe/Context clause, which is not inside BeforeEach/AfterEach etc.
- Make sure that any state change inside an “It” clause, that may impact other tests, is reverted in “AfterEach”
- Don’t assume the “It” clauses, which are at the same level, are invoked in any specific order
gomega
Be verbose and use specific matchers. For example, to check that an array has N elements, you can use:
Expect(len(arr)).To(Equal(N))
But a better way would be:
Expect(arr).To(HaveLen(N))
Function Override
Sometimes the code under test is invoking a function which is not mocked. In most cases, this is an indication that the code needs to be refactored, so this function, or its return values, will be passed as part of the API of the code being tested. However, if this refactoring is not possible (or too costly), you can inject your own implementation of this function. The original function should be defined as a closure, and assigned to a global variable. Since functions are 1st class citizens in go, you can assign your implementation to that function variable. More detailed example is here


Class Holidays
USA calendar configuration.
Inheritance
Inherited Members
Namespace: ThisDate.DefinedCalendars.USA
Assembly: ThisDate.DefinedCalendars.dll
Syntax
public static class Holidays
Methods
| Improve this Doc View SourceChristmasDay(Boolean, Boolean, Boolean)
Add Christmas Day.
Declaration
public static void ChristmasDay(bool dayOff, bool saturdayBack, bool sundayForward)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
| System.Boolean | saturdayBack | If the date is Saturday then observe on Friday. |
| System.Boolean | sundayForward | If the date is Sunday then observe on Monday. |
Examples
// using ThisDate.DefinedCalendars.USA;
Holiday.ChristmasDay(false, true, true);
|
Improve this Doc
View Source
ColumbusDay(Boolean)
Add Columbus Day.
Declaration
public static void ColumbusDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.ColumbusDay(false);
|
Improve this Doc
View Source
EasterSunday(Boolean)
Add Easter Sunday.
Declaration
public static void EasterSunday(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.EasterSunday(true);
|
Improve this Doc
View Source
FathersDay(Boolean)
Add Father's Day.
Declaration
public static void FathersDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.FathersDay(false);
|
Improve this Doc
View Source
GoodFriday(Boolean)
Add Good Friday.
Declaration
public static void GoodFriday(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.GoodFriday(false);
|
Improve this Doc
View Source
GroundhogDay(Boolean)
Groundhog day.
Declaration
public static void GroundhogDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.GroundhogDay(false);
|
Improve this Doc
View Source
Halloween(Boolean)
Add Halloween.
Declaration
public static void Halloween(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.Halloween(false);
|
Improve this Doc
View Source
IndependenceDay(Boolean, Boolean, Boolean)
Add Independence Day (4th of July).
Declaration
public static void IndependenceDay(bool dayOff, bool saturdayBack, bool sundayForward)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
| System.Boolean | saturdayBack | If the date is Saturday observe on Friday. |
| System.Boolean | sundayForward | if the date is on Sunday observe on Monday. |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.Halloween(true);
|
Improve this Doc
View Source
LaborDay(Boolean)
Add Labor Day.
Declaration
public static void LaborDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.LaborDay(true);
|
Improve this Doc
View Source
MartinLutherKingDay(Boolean)
Add Martin Luther King day.
Declaration
public static void MartinLutherKingDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.MartinLutherKingDay(true);
|
Improve this Doc
View Source
MemorialDay(Boolean)
Add Memorial Day.
Declaration
public static void MemorialDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.MemorialDay(true);
|
Improve this Doc
View Source
MothersDay(Boolean)
Add Mothers Day.
Declaration
public static void MothersDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.MothersDay(false);
|
Improve this Doc
View Source
NewYearsDay(Boolean, Boolean, Boolean)
Adds the new years day.
Declaration
public static void NewYearsDay(bool dayOff, bool saturdayBack, bool sundayForward)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
| System.Boolean | saturdayBack | If date falls on Saturday then observe Friday. |
| System.Boolean | sundayForward | If date falls on Sunday then observe on Monday. |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.NewYearsDay(true);
|
Improve this Doc
View Source
PresidentsDay(Boolean)
Add Presidents day (Washington's day).
Declaration
public static void PresidentsDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.PresidensDay(false);
|
Improve this Doc
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SaintPatrickDay(Boolean)
Add Saint Patrick's Day.
Declaration
public static void SaintPatrickDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.SaintPatrickDay(false);
|
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ThanksgivingDay(Boolean)
Add Thanksgiving Day.
Declaration
public static void ThanksgivingDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.ThanksgivingDay(false);
|
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ValentinesDay(Boolean)
Add Saint Patrick's Day.
Declaration
public static void ValentinesDay(bool dayOff)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.ValentinesDay(false);
|
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VeteransDay(Boolean, Boolean, Boolean)
Add Veterans Day, November 11.
Declaration
public static void VeteransDay(bool dayOff, bool saturdayBack, bool sundayForward)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Boolean | dayOff | Day off (not a workday). |
| System.Boolean | saturdayBack | Move back to Friday if on Saturday. |
| System.Boolean | sundayForward | Move forward to Monday if on Sunday. |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.VeteransDay(false);
|
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Weekends()
Add weekly day-of-week day off.
Declaration
public static void Weekends()
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.Weekends();
|
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WeeklyDayOff(DayOfWeek)
Weekly day off.
Declaration
public static void WeeklyDayOff(DayOfWeek dayOfWeek)
Parameters
| Type | Name | Description |
|---|---|---|
| System.DayOfWeek | dayOfWeek | The day of week. |
Examples
// using ThisDate.DefinedCalendars.USA;
CalendarDateTime.WeeklyDayOff(DayOfWeek.Friday);


CROUCHING TIGER, HIDDEN DRAGON ------------------------------
When legendary Wudan warrior Li Mu Bai (Chow Yun-Fat, "Anna and the King") entrusts his ancient green sword to Yu Shu Lien (Michelle Yeoh, "Tomorrow Never Dies") for transport to Sir Te (Sihung Lung, "Eat Drink Man Woman") in Peking, she wonders at his decision - is he finally ready to declare long unspoken emotions and settle down with her? The sword, however, is covetted by a mysterious new warrior, apparently the protege of Li Mu Bai's long time enemy Jade Fox (Pei-pei Cheng), and is stolen on its first night in Sir Te's study. Li Mu Bai and Yu Shu Lien are pulled back into the life of the swordfighter as their romance is reflected by that of a younger couple in director Ang Lee's ("Sense and Sensibility") "Crouching Tiger, Hidden Dragon."
Ang Lee established himself in the filmmaking world with his Chinese trilogy of patriarchal films "Pushing Hands," "The Wedding Banquet," and "Eat Drink Man Woman." He then further proved himself with three wildly different English language speaking films, "Sense and Sensibility," "The Ice Storm" and "Ride With the Devil." Now he tries his hand at the Chinese martial arts genre he grew up with and delivers an epic entertainment that may very well cross over from the art house to American multiplexes.
The story (screenplay by Hui-Ling Wang ("Eat Drink Man Woman), James Schamus, Kuo Jung Tsai) contains all the elements of a genre romantic fantasy adventure. There's a fantastic sword, not unlike a Jedi knight's light saber, whose owner has developed mixed feelings for after years of bloodshed. Li Mu Bai and Yu Shu Lien's love is clear for all to see, yet long denied by themselves (for noble reasons, of course, as she was once betrothed to his brother who was killed in action). A new fighter emerges in a most unexpected guise, Jen Yu (newcomer Ziyi Zhang), the daughter of an aristrocat promised in an unwanted arranged marriage. Jen is caught between a natural inclination towards good and the evil that is her governess/teacher - the infamous Jade Fox. Her lover is Lo (Chen Chang, "Happy Together"), a gypsy bandit who once had the audacity to attempt to steal her hair comb. The flashback which fills in the history of Jen and Lo's romance is one of the highlights of the film - sexy, funny, touching and of course, full of action.
The screenplay delivers with several story lines intermingled, all evoking the full spectrum of human emotion. Of course, the story is studded with numerous action sequences, featuring the balletic fight choreography of Yen Woo-Ping ("The Matrix"). While most of his work is exemplary (particularly the fights between Jen and Yu Shu), I found the 'flying' sequences a bit too fantastical. Skipping over water and fighting atop a bamboo forest work, but the rest of the action would have been better served a bit more earthbound. Cinematography by Peter Pau ("The Bride with White Hair") captures the action while also broadening scope to capture breathtaking scenery in both green, misty mountain terrain and sun scorched deserts. Tim Squyres' editting is top notch. The film is gorgeously scored by Tan Dun, featuring the work of celloist Yo Yo Ma.
Michelle Yeoh should be receiving some serious attention for a Best Actress nomination. Her subtle work here is heart breaking and the most compelling in the film. On the opposite end of the scale, Chen Chang ("Happy Together") gives a rousingly endearing performance as the sexy, good hearted bandit Lo, while newcomer Ziyi Zhang demonstrates she's got the moves. Chow Yun Fat is a bit hampered by the legendary status of his character, to which he brings enormous nobility. Sihung Lung ("Eat Drink Man Woman") is humorously sage as Sir Te.
"Crouching Tiger, Hidden Dragon" has something for everyone. It's a huge film by a director who must now be regarded as a world class auteur.
A-
For more Reeling reviews visit www.reelingreviews.com
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Related links: index of all rec.arts.movies.reviews reviews


We are interested in lively workshop discussions and invite the following papers:
Submissions should be in PDF, preferably formatted with double column/single-spacing, using 10pt fonts and printable on US letter or A4 sized paper. Authors submit a paper via EasyChair website for ADAPT 2016. We then help authors to upload their paper to arXiv (allow 2..3 days before your article becomes available online). Alternatively, authors can submit their paper directly to ArXiv and then submit an abstract to EasyChair with the link to their paper.
As soon as this paper is publicly available, we open a discussion thread on the Reddit social platform to allow the community to comment on it (the authors can respond to all the comments at any time to promote, explain and defend their technique). After one or two weeks of public discussions, we will close the discussion thread and let the Program Committee members reach their acceptance decisions based on their own evaluation and from the comments of others (including the authors) found on the discussion thread. Papers accepted for presentation at the workshop may later include a link to the public Reddit discussion. More importantly, even if your paper is not accepted, you still have a public technical report with a time stamp which you can extend and republish later.
Importantly, ADAPT workshop has a special focus on practical, scalable and reproducible techniques. Hence, we encourage authors to share their packed artifacts (code, data, models, experimental results) and provide a paragraph in their submitted papers describing how to validate their technique and experimental results together with a link to their artifacts (see our artifact evaluation website for more details). Highest ranked reproducible artifact (code and/or data) shared in Collective Knowledge format (we can help if needed) will receive a cash prize of 200 euros from our sponsor (see a few recent examples: CK-powered interactive paper, benchmarks in CK-format shared via GITHUB, some data sets in CK format shared via GITHUB). Papers with validated artifacts will receive a stamp:
Paper submission website: https://easychair.org/conferences/?conf=adapt2016
For any questions/problems related to the submission please send an email here: christophe.dubach (_@_) ed.ac.uk and grigori.fursin (_@_) cTuning.org.
| - |
DIVIDITI provided cash prize of 200 euros for the highest-ranked artifact shared in CK format (Example: CLSmith from PLDI'15) |


Bead sort, also called gravity sort, is a natural sorting algorithm, developed by Joshua J. Arulanandham, Cristian S. Calude and Michael J. Dinneen in 2002, and published in The Bulletin of the European Association for Theoretical Computer Science. Both digital and analog hardware implementations of bead sort can achieve a sorting time of O(n); however, the implementation of this algorithm tends to be significantly slower in software and can only be used to sort lists of positive integers. Also, it would seem that even in the best case, the algorithm requires O(n2) space.
Case 1)
O(1): The beads are all moved simultaneously in the same time unit. This is an abstract complexity, and cannot be implemented in
practice.
Case 2)
O( n ^ 1/2 ): In a realistic physical model that uses gravity, the time it takes to let
the beads fall is proportional to the square root of the maximum height, which is proportional to n.
Case 3)
O(n): The beads are moved one row at a time. This is the case used in the analog and digital hardware solutions.
Case 4)
O(S): where S is the sum of the integers in the input set: Each bead is moved individually. This is the case when
bead sort is implemented without a mechanism to assist in finding empty spaces below the beads, such as in software
implementations.
A cellular automaton (CA) is a suitable choice for simulating natural physical systems because it is massively parallel, self-organizing and is driven by a set of simple, local rules. In its simplest form, a CA can be considered a homogeneous array of cells in one, two or more dimensions. Each cell has a ﬁnite discrete state. Cells communicate with a number of local neighbors and update synchronously according to deterministic rules. A cell updates its state depending on its current state and its neighbor states. When modeling physical systems using cellular automata, space is treated as having ﬁnitely many locations per unit of volume. Each location is represented by a cell and a state is associated with each cell.
The algorithm for bead sort is shown as:
void beadSort(int *a, int len)
{
// Find the maximum element
int max = a[0];
for (int i = 1; i < len; i++)
if (a[i] > max)
max = a[i];
// allocating memory
unsigned char beads[max*len];
memset(beads, 0, sizeof(beads));
// mark the beads
for (int i = 0; i < len; i++)
for (int j = 0; j < a[i]; j++)
BEAD(i, j) = 1;
for (int j = 0; j < max; j++)
{
// count how many beads are on each post>/br>
int sum = 0;
for (int i=0; i < len; i++)
{
sum += BEAD(i, j);
BEAD(i, j) = 0;
}
// Move beads down
for (int i = len - sum; i < len; i++)
BEAD(i, j) = 1;
}
// Put sorted values in array using beads
for (int i = 0; i < len; i++)
{
int j;
for (j = 0; j < max && BEAD(i, j); j++);
a[i] = j;
}
}


Here we go, down the rabbit hole. I discovered Dev through a couple Enspiralites that I am privileged to call friends. I loved (and still do) the way they talked, the way they worked, the way they saw and engaged with the world.  Little did I know, I had just entered a space owning one of the most healthy and ethical work cultures I have ever experienced. Every interaction I took part in was positive, considerate and empathetic. I was taken aback by the relentlessly welcoming people I dealt with, the absolute art they had made communication into, the seamless way Tikanga and Te Reo Maori had been integrated into the course and ethos, and the constant invitations to own and co-create my own experience here. All. So. FASCINATING! I love this stuff!! Connecting with people is incredibly important to me. In my experience, the best way to bring the best out of a person, or group of people, is to establish those personal relationships first, so everyone feels comfortable and able to trust each other. And I feel like EDA really honours that. So, as excited as I am to learn web development, I am also really excited to learn what it means to create a sustainably sincere, accepting and wholesome work environment.
I'm really curious to meet the others in my cohort, and see what it was that attracted them to Dev, and see what like(or unlike)-minded people I may meet. Either way, I think there is something really seriously powerful about giving someone ownership - in this case over their education - and I am feeling really energised and motivated to make the most of this opportunity!!


CPSS100 Redesign Prototype Project
Supa Powered Sports Bros: Michael Li, Connor Pucci, Andros Yang, Arden Zhang
Our Redesign Prototype Project focused on helping students study better in the McKeldin Library study rooms, focusing on the issue that sound from one study room can be heard in adjacent study rooms. The webapp prototype is designed to monitor the volume around the microphone that the webapp is using (the laptop for this demo). If the sound volume passes a designated threshold, the webapp will display a message saying that it is too loud. The volume bar in the webapp is used to gauge the loudness around the microphone (green if it's in an acceptable range, red if it's too loud). Putting it into practical use for students using the Mckeldin Library study rooms, the students can open the webapp on their laptops or phones and periodically check their volume; however, if they are too loud, a notification will pop up saying that they are being disruptive to their peers in the other study rooms.
Test the webapp yourself. Talk amongst your peers around you and see how the volume gauge responds.


Parses text in Markdown format and returns fpar and as_paragraph command strings to be used with Officer
md_to_officer( str, default_format = list(color = "black", font.size = 12, bold = FALSE, italic = FALSE, underlined = FALSE, font.family = "Cambria (Body)", vertical.align = "baseline", shading.color = "transparent") )
| str | string containing Markdown can contain the following elements:
|
|---|---|
| default_format | list containing the default format for elements not defined with markdown default values. default_format = list( color = "black", font.size = 12, bold = FALSE, italic = FALSE, underlined = FALSE, font.family = "Cambria (Body)", vertical.align = "baseline", shading.color = "transparent") |
list with parsed paragraph elements ubiquity system object with the
content added to the body, each paragraph can be found in a numbered list
element (e.g. pgraph_1
, pgraph_2
, etc) each with the following
elements:
locs
Dataframe showing the locations of markdown elements in the current paragraph
pele
These are the individual parsed paragraph elements
fpar_cmd
String containing the fpar_cmd that can be run using
eval
to return the output of fpar
. For example:
myfpar = eval(parse(text=pgparse$pgraph_1$fpar_cmd))
as_paragraph_cmd
String containing the as_paragraph_cmd that can be run using
myas_para = eval(parse(text=pgparse$pgraph_1$as_paragraph_cmd))


{% extends "layout.html" %} {% block page_title %} Get support - GOV.UK PaaS {% endblock %} {% block content %} Support How can we help you? Something’s wrong with my live service I need some help using GOV.UK PaaS I’d like to find out more about GOV.UK PaaS {% endblock %}


Brewton leads Coastal Carolina past Utah, 79-57
CONWAY, S.C. (AP) - Keishawn Brewton scored 22 points and hit six 3-pointers, and Coastal Carolina beat Utah 79-57 on Thursday night in a Myrtle Beach Invitational quarterfinal.
Ebrima Dibba added 19 points, DeVante’ Jones had 16 points and Garrick Green finished with 12 for the Chanticleers (3-2). Playing on their home court, they shot 45%, hit 11 3-pointers and pulled away midway through the second half with a Brewton-led 26-9 run.
“It was one of those games that was a statement win for us,” Coastal Carolina coach Cliff Ellis said. “At the same point in time we know we’ve got 80 more minutes of basketball. The big test now is we have to put this one behind. At some point we’ll enjoy it but we’ve got Baylor (Friday).”
Timmy Allen had 15 points for the Utes (3-1), who never led outside of the opening 6 minutes but pulled to 44-38 on Jaxon Brenchley’s layup with 16½ minutes remaining.
Brewton hit four 3s during that game-breaking run, which Dibba capped with a free throw that made it 70-47 with 5:53 to play.
“We know what he can do,” Jones said of Brewton. “He’s a 3-point shooter and can also make plays off the bounce and he did that tonight. This is the beginning for us.”
Utah - which entered shooting 40% from 3-point range - shot just 18% from long distance and matched a season low with five of them. The Utes shot just 25% in the second half.
BIG PICTURE
Coastal Carolina: The Chanticleers looked right at home playing on their home floor - especially Brewton, a junior college transfer who’s making an immediate impact with his new team after scoring 24 in the opening loss to Campbell. Coastal Carolina shot 50% in the second half and made the most of their takeaways, turning 15 Utah turnovers into 19 points.
Utah: It’s hard to sugarcoat this loss for a young Utes team that started 3-0 with solid wins at Nevada and against Minnesota and set the school’s single-game scoring record with 143 points against Mississippi Valley State. Both Gach, who averages 17.7 points, finished with five on 2-of-11 shooting.
“The only way you get experience is time,” Utah coach Larry Krystkowiak said.  You can’t speed it up, you’ve got to live it and you go through and you chalk and your team hopefully grows if they’re made of the right stuff.”
UP NEXT
Coastal Carolina: Faces No. 24 Baylor on Friday in a semifinal.
Utah: Will play Ohio on Friday in a consolation game.
More AP college basketball: https://apnews.com/Collegebasketball and https://twitter.com/AP_Top25
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Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Current members
Timothée Poisot
Ecologist. Teaches data analysis, ecological modelling, and responsible use of data.
Associate Professor, Department of Biological Sciences, Université de Montréal
Andréanne Dupont
2019-, M.Sc. Biogeography of lakes ecosystem services. Advisor: Roxane Maranger.
Andrew MacDonald
2019-, Post-doctoral researcher. Development of biodiversity indicators for the governmental monitoring of biodiversity.
2018-2019, Post-doctoral researcher. High-throughput processing of camera-trap data.
Francis Banville
2020-, Ph.D. Machine Learning techniques for food web structure inference at the planetary scale. Co-advisor: Dominique Gravel
Gabriel Dansereau
2019-, M.Sc. Development of beta-diversity measures for spatially continuous hotspot identification. Co-advisor: Pierre Legendre.
Gracielle Higino
2019-2020, visiting Ph.D. Biological interactions, environmental variables, and biogeographical species distributions.
Joseph B. Burant
2020-, Post-doctoral fellow with the Living Data Project.
Mathilde Besson
2016-, Ph.D. Eco-evolutionary dynamics in networks of positive and negative interactions. Co-advisor: Dominique Gravel.
Norma Forero
2020-, Ph.D. Machine Learning and Data Synthesis for the prediction of viral spillover events. Co-advisor: Patrick Leighton
Philippe Desjardins-Proulx
2019-, Post-doctoral researcher. Type theory and higher-order probabilistic programming for ecological synthesis.
2014-2018, Ph.D. Artificial Intelligence applied to theory building for ecological synthesis. Advisor: Dominique Gravel.
Salomé Bouskila
2021, M.Sc. research intern. Pathogen sharing in the global virome.
Tanya Strydom
2020-, Ph.D. Common properties of species interactions networks across space.
Valentine Volz
2020, B.Sc. research assistant. Structural analysis of the host-sharing network of coronaviruses.
2021-, M.Sc. Spatial structure of ecological networks over large gradients.
Former members
Alexandrine Frappier
2018, BSc research assistant. Review of best practices to use image recognition software on wildlife cameras.
Amélie Muller
2015, M.Sc. Understanding how management programs could gain from studying the variability of plant-pollinator interactions.
Charles Cusson
2016, IT. Development of a responsive interface for the mangal.io database.
Christophe Benjamin
2017, BSc research assistant. Automated extraction of phylogenetic data from species interaction networks.
Cynthia Guéveneux-Julien
2015-2016, BSc Hons. Planification, management, and restoration of landscape connectivity in the Laurentians.
2015, BSc research assisant. Environmental drivers of host-parasite interaction variability.
Daphnée Lecours-Tessier
2018-2020, M.Sc. Blue-green connectivity and ecosystem integrity in the Laurentians. Co-advisor: Roxane Maranger.
2017-2018, BSc research assistant. Best practices for the development and implementation of ecological corridors. Co-advisor: Roxane Maranger.
Dominique Caron
2017, M.Sc. Inventory of open biodiversity data in Quebec, and creation of decision-helping tools.
Émilie Vinet
2018, BSc research assistant. Machine learning techniques to produce dynamics maps of land use from digitized and numeric maps.
Eva Delmas
2015-2020, Ph.D. Causes and consequences in the relationships between food web structure and ecosystem functioning. Co-advisor: Daniel B. Stouffer.
Fares Dhane
2019, M.Sc. Training of a neural network for mammals recognition in Québec. Advisor: Andrew MacDonald.
Grégoire Bonenfant
2017, BSc research assistant. Measures of species complementarity in quantitative networks.
Iman Sicot
2020, BSc research assistant. Survey of data on food webs in North America.
Kiri Stern
2020, M.Sc. Neural networks for rapid connectivity analyses.
2019, M.Sc. Prey use of generalist predators across their range.
Luisa Novara
2020, Research assistant. Preparation of data for the forecasting of coronaviruses epidemic risk.
Marie-Andrée Ouellet
2020, MSc research intern. Singular Value Decomposition as an imputation method for host-virus detection.
Michiel Stock
2017-2018, visting post-doctoral researcher. Pairwise learning to predict the structure of ecological networks.
Piotr Szefer
2018, visiting Ph.D. Implementation of structural models of food web structure.
Renaud McKinnon
2013-2016, M.Sc. Interactions between trees from experimental plantations and their microbial ectosymbionts.
Sandrine Soeharjono
2019, M.Sc. Development of indicators based on eBird data to survey urban biodiversity changes in Montréal.
Stéphanie Préfontaine
2017-2020, M.Sc. Impacts of temperature on the metabolic rates of ecological communities. Advisor: Dominique Gravel.
Steve Vissault
2019-2020, Ph.D. Automated aggregation, synthesis, and forecasting of unstructured biodiversity data.
2018-2019, Staff scientist. Improvements on the mangal.io database backend and frontend.
Zachary Bélisle
2018, M.Sc. Variation in the composition of insect communities in forest fragments. Advisor: Colin Favret.
2017-2018, BSc Hons. Robustness of permutation tests for the analysis of ecological network structure.


My To Do List
Organisation is the key to success
ADD
Goals to accomplish
Goals left: 5
Task 1
Delete
Task 2
Delete
Task 3
Delete
Task 4
Delete
Task 5
Delete


{% extends "newbase.html" %} {% block content %}
{{ provider.comment }}
{% endif %} {% endfor %} {% if providers|length > 1 %}Be aware that each provider creates and connects to a provider-specific user. Therefore, logging in using multiple providers leads to multiple users! If your username ends with random characters, this is what has happened.
If you want to combine users, contact Support. We can merge them for you.
{% endif %} {% else %}You are alreday logged in, as "{{ request.user.username }}".
{% endif %}


Compressed Suffix Trees for Machine Translation
Matthias Petri The University of Melbourne
joint work with Ehsan Shareghi, Gholamreza Haffari and Trevor Cohn
Machine Translation
Use computational resources to translate a sentence from a source language to a target language.
Resources
- Parallel Text Corpus
- Wikipedia headlines in multiple languages
- European Parliament or UN transcripts
- Large Text Corpus in the target language
- Lots of data sets available for free http://www.statmt.org/wmt15/translation-task.html
Translation Process
Given a Source sentence find a translation (the Target) that has the highest probability given the source sentence:
$$P(\text{ Target }| \text{ Source }) = \frac{P(Target) \times P( \text{ Source } | \text{ Target })}{P(Source)}$$
P(Source | Target)
Find probable candidates using the Parallel Corpus
| Language A |
Language B |
Word Alignment |
| lo que [X,1] que los |
the [X,1] that the |
0-0 1-2 3-2 4-3 |
| lo que [X,1] que los |
this [X,1] that the |
0-0 3-2 4-3 |
| lo que [X,1] que los |
which [X,1] the |
0-0 1-0 4-2 |
P(Target)
For each candidate sentence, use the text statistics of the monolingual corpus (a Language Model) to determine the "best" translation
q-gram Language Modeling
Assign a probability to a sequence of words \(w^n_1\)
indicating how likely the sequence is, given a language:
$$
P(w^n_1) = \prod_{i=1}^n P(w_i|w_{i-q+1}^{i-1})
$$
where
$$
w^n_1 = S[1..n] \text{ and } w^j_i = S[i..j]
$$
Example (q=3)
$$
P(\text{ the old night keeper keeps the keep in the town }) = \\
P(\text{ the} ) \\
\times P(\text{ old }|\text{ the }) \\
\times P(\text{ night }|\text{ the old }) \\
\times P(\text{ keeper }|\text{ the old night }) \\
\times P(\text{ keeps }|\text{ old night keeper }) \\
\times P(\text{ the }|\text{ night keeper keeps }) \\
\times P(\text{ keep }|\text{ keeper keeps the }) \\
\times P(\text{ in }|\text{ keeps the keep }) \\
\times P(\text{ the }|\text{ the keep in }) \\
\times P(\text{ town }|\text{ keep in the }) \\
$$
Kneser-Ney Language Modeling
Highest Level:
$$
P(w_i|w_{i-q+1}^{i-1})=\frac{max(C(w_{i-q+1}^i))−D_q,0)}{C(w_{i-q+1}^{i-1})} + \frac{D_q N_{1+}(w_{i-q+1}^{i-1} \bullet )}{C(w_{i-q+1}^{i-1})} P(w_i|w_{i-n+2}^{i-1})
$$
Middle Level (\(1 < k < q\)):
$$
P(w_i|w_{i-k+1}^{i-1})=\frac{max(N_{1+}(\bullet w_{i-k+1}^i))−D_k,0)}{N_{1+}(\bullet w_{i-k+1}^{i-1}\bullet)} + \frac{D_k N_{1+}(w_{i-k+1}^{i-1} \bullet )}{N_{1+}(\bullet w_{i-k+1}^{i-1}\bullet)} P(w_i|w_{i-k+2}^{i-1})
$$
Lowest Level:
$$
P(w_i) = \frac{N_{1+}(\bullet w_{i})}{N_{1+}(\bullet \bullet)}
$$
Terminology
- \(C(w_{i}^j)\): Standard count of \(S[i..j]\) in the corpus
- \(N_{1+}(\bullet \alpha) = |\{w: c(w \alpha)>0\}|\)
is the number of observed word types preceding the pattern \(\alpha = w_{i}^j\)
- \(N_{1+}(\alpha \bullet ) = |\{w: c(\alpha w)>0\}|\)
is the number of observed word types following the pattern \(\alpha\)
- \(N_{1+}(\bullet \alpha \bullet)\): the number of unique contexts (left and right) where \(\alpha \) occurs
- \(D_i\): Discount parameter for the recursion computed at index construction time
- \(N_{1+}(\bullet \bullet)\): Number of unique bi-grams
- \(N_{1}(\alpha \bullet) = |\{w: c(\alpha w)==1\}|\)
is the number of observed word types preceding the pattern \(\alpha = w_{i}^j\) that occur exactly once
- \(N_{2}(\alpha \bullet) = |\{w: c(\alpha w)==2\}|\)
is the number of observed word types preceding the pattern \(\alpha = w_{i}^j\) that occur exactly two times
- \(N_{3+}(\alpha \bullet ) = |\{w: c(\alpha w)\geq3\}|\)
is the number of observed word types following the pattern \(\alpha\) that occur at least 3 times
ARPA Files
ARPA based Language Models
Instead of precomputation can we compute probabilities on the fly using Compressed Suffix Trees?
Advantages
- No restriction in recursion depth results in better probability estimates
-
Current approaches prestore probabilities which uses space exponential in q
-
Construction of a CST is faster than precomputing all probabilities
-
Can operate on words and character alphabets (need larger q to be useful)
Use 2 CSTs over the text and reverse text
Kneser-Ney Language Modeling
Perform backward search and keep track of dependencies
Computing \(N_{1+}(\bullet w_{i}^j \bullet)\)
Naive Approach: (Expensive!)
- Find the set S of all symbols preceding \(w_{i}^j\)
- For each \(\alpha \in S\) determine \(N_{1+}(\alpha w_{i}^j \bullet)\)
- Sum over all \(\alpha\)
Only use one wavelet tree based CST over the text
- \(N_{1+}(w_{i}^j \bullet)\) computed as before using the CST
-
\(N_{1+}( \bullet w_{i}^j)\): For the range \([sp,ep]\) of the pattern use the wavelet tree to visit all leaves in \(BWT[sp,ep]\). (Interval Symbols in SDSL)
-
\(N_{1+}( \bullet w_{i}^j \bullet )\): Visiting all leaves in \(BWT[sp,ep]\) implicitly computes all Weiner Links of the CST node corresponding to \(w_{i}^j\) as all [sp,ep] ranges of all \(\bullet w_{i}^j\) are computed during the wavelet tree traversal.
-
Determine number of children of the found nodes to compute \(N_{1+}( \bullet w_{i}^j \bullet )\).
Other Considerations
- Special case when pattern search ends in the middle of an edge in the CST
-
Special handling of start and end of sentence tags which can mess up the correct counts
-
Ensure correctness by comparing to state-of-the-art systems (KenLM and SRILM)
Construction and Query Time
Query Time Breakdown
Future Work
- Precomputing some of the counts is very cheap and speeds up query processing significantly
- Alphabet-Partitioning for larger alphabets (requires interval symbols)
- Already competitive to state-of-the-art implementations
- Backward Search now main cost factor
- Lots of open problems in the MT field where succinct structures could be applied to
- Easy entry as test collections and software are freely available


Lebanon banks to seek security conditions to enable staff to resume work
BEIRUT (Reuters) - Lebanon’s banking association pledged to work with authorities to provide suitable security conditions to enable bank staff to resume work, following a strike on Tuesday by employees complaining of aggressive behavior by customers.
The Association of Banks in Lebanon (ABL) said in a statement banks would continue to meet customer needs through ATMs and call centers. A union representing bank employees earlier called for the strike to continue on Wednesday.


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@(webHooks: List[model.WebHook], enteredUrl: Option[Any], repository: service.RepositoryService.RepositoryInfo, info: Option[Any])(implicit context: app.Context) @import context._ @import view.helpers._ @html.main("Settings", Some(repository)){ @html.menu("settings", repository){ @menu("hooks", repository){ @helper.html.information(info)
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Whether to output all intermediates from functional control flow ops.
tf.compat.v1.experimental.output_all_intermediates(state)
The "default" behavior to is to output all intermediates when using v2 control
flow inside Keras models in graph mode (possibly inside Estimators). This is
needed to support taking gradients of v2 control flow. In graph mode, Keras
can sometimes freeze the forward graph before the gradient computation which
does not work for v2 control flow since it requires updating the forward ops
to output the needed intermediates. We work around this by proactively
outputting the needed intermediates when building the forward pass itself.
Ideally any such extra tensors should be pruned out at runtime. However, if
for any reason this doesn't work for you or if you have an infernce-only model
you can turn this behavior off using
tf.compat.v1.experimental.output_all_intermediates(False)
.
If with the default behavior you are still seeing errors of the form
"Connecting to invalid output X of source node Y which has Z outputs" try
setting tf.compat.v1.experimental.output_all_intermediates(True)
and
please file an issue at https://github.com/tensorflow/tensorflow/issues.
state
: True, False or None. None restores the default behavior.


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